Overview

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Dataset statistics

Number of variables350
Number of observations5692
Missing cells998833
Missing cells (%)50.1%
Total size in memory16.1 MiB
Average record size in memory2.9 KiB

Variable types

Text13
Numeric210
DateTime3
Unsupported97
Boolean27

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w1_experimentidexperiment id
w1_fillinquestfillinquest
w1_lastpagelast page
w1_submitdatedate of submission
w1_startlanguagestart language
w1_startdateStart date
w1_datestampdatestamp
w1_refurl reference url
w1_A00_1Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?
w1_A00_2Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?
w1_A01Which gender were you born? 1. Male, 2. Female?
w1_A02When were you born? Year:
w1_A03What is your nationality? [List, see Appendix]
w1_A03JLUWhat is your nationality? [List, see Appendix]
w1_A04AMRITAQuestion: In what faculty/department are you studying? | Answer:
w1_A04AMRITA_otherQuestion: In what faculty/department are you studying? | Answer:
w1_A04AAUQuestion: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment
w1_A04JLUQuestion: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy
w1_A04LSEQuestion: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics
w1_A04NUMQuestion: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities
w1_A04UCQuestion: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas
w1_A04UNITNQuestion: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures
w1_A04IPICYTQuestion: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]
w1_A05Type of degree: 1. BSc, 2. MSc, 3.PhD
w1_A05UNITNType of degree: 1. BSc, 2. MSc, 3. 5 years
w1_A05AMRITAType of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch
w1_A06Programme: 1. Full Time, 2. Part Time
w1_A07[Not for LSE if A05=2 AND A06=1] Course year
w1_A08You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year
w1_A09 [Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]
w1_A09UNITNWhere do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A09UCWhere do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)
w1_A10UNITNAnd exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte
w1_A10AAUAnd exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum
w1_A10NUMAnd exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]
w1_A10LSEAnd exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London
w1_A10UCAnd exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta
w1_A10IPICYTAnd exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]
w1_A11NUMWhat kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house
w1_A11 What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends
w1_B01_1Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party
w1_B01_2Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings
w1_B01_3Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away
w1_B01_4Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings
w1_B01_5Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination
w1_B01_6Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot
w1_B01_7Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems
w1_B01_8Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place
w1_B01_9Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time
w1_B01_10Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas
w1_B01_11Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties
w1_B01_12Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions
w1_B01_13Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order
w1_B01_14Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily
w1_B01_15Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas
w1_B01_16Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background
w1_B01_17Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others
w1_B01_18Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things
w1_B01_19Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue
w1_B01_20Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination
w1_B02_1Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.
w1_B02_2Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.
w1_B02_3Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.
w1_B02_4Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.
w1_B02_5Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.
w1_B02_6Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.
w1_B02_7Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.
w1_B02_8Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.
w1_B02_9Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.
w1_B02_10Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.
w1_B02_11Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.
w1_B02_12Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.
w1_B02_13Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.
w1_B02_14Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).
w1_B02_15Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.
w1_B02_16Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.
w1_B02_17Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.
w1_B02_18Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.
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w1_C01_1How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous
w1_C01_2How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous
w1_C01_3How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously
w1_C01_4How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence
w1_C02_1How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)
w1_C02_2How often do you take notes in class? (1 “never” – 6 “very often”)
w1_C02_3How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)
w1_C02_4How often do you audio record the lecture? (1 “never” – 6 “very often”)
w1_C02_5How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)
w1_C02_6How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)
w1_C02_7How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)
w1_C02_8How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)
w1_C02_9How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)
w1_C02_10How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)
w1_C02_11How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)
w1_C02_12How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)
w1_D01About how many university students can you contact for help in studying?
w1_D02Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]
w1_D03How many informal study groups do you participate in?
w1_D04About how many people are in the informal study group? If you have more than one, think about the one you meet most often
w1_D05How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week
w1_E01_1How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo
w1_E01_2How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook
w1_E01_3How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn
w1_E01_4How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube
w1_E01_5How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram
w1_E01_6How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram
w1_E01_7How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest
w1_E01_8How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit
w1_E01_9How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr
w1_E01_10How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger
w1_E01_11How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp
w1_E01_12How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts
w1_E01_13How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype
w1_E01_14How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom
w1_E01_15How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat
w1_E01_16How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder
w1_E01_17How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat
w1_E01_18How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber
w1_E01_19How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok
w1_E01JLU_1How often do use the following social networking channels? | Answer: Weibo(微博)
w1_E01JLU_2How often do use the following social networking channels? | Answer: LinkedIn
w1_E01JLU_3How often do use the following social networking channels? | Answer: Bilibili
w1_E01JLU_4How often do use the following social networking channels? | Answer: Acfun
w1_E01JLU_5How often do use the following social networking channels? | Answer: lvzhou(绿洲)
w1_E01JLU_6How often do use the following social networking channels? | Answer: Telegram
w1_E01JLU_7How often do use the following social networking channels? | Answer: Pinterest
w1_E01JLU_8How often do use the following social networking channels? | Answer: Huaban(花瓣)
w1_E01JLU_9How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)
w1_E01JLU_10How often do use the following social networking channels? | Answer: Reddit
w1_E01JLU_11How often do use the following social networking channels? | Answer: Tieba(贴吧)
w1_E01JLU_12How often do use the following social networking channels? | Answer: Douban(豆瓣小组)
w1_E01JLU_13How often do use the following social networking channels? | Answer: Skype
w1_E01JLU_14How often do use the following social networking channels? | Answer: Zoom
w1_E01JLU_15How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)
w1_E01JLU_16How often do use the following social networking channels? | Answer: DingDing(钉钉)
w1_E01JLU_17How often do use the following social networking channels? | Answer: Tinder
w1_E01JLU_18How often do use the following social networking channels? | Answer: Tantan(探探)
w1_E01JLU_19How often do use the following social networking channels? | Answer: Momo(陌陌)
w1_E01JLU_20How often do use the following social networking channels? | Answer: WeChat(微信)
w1_E01JLU_21How often do use the following social networking channels? | Answer: QQ
w1_E01JLU_22How often do use the following social networking channels? | Answer: TikTok(抖音)
w1_E01JLU_23How often do use the following social networking channels? | Answer: Kuaishou(快手)
w1_E01JLU_24How often do use the following social networking channels? | Answer: Huoshan (火山小视频)
w1_E02_1Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)
w1_E02_2Do you use social networking sites to do research work? (1 “never” – 6 “very often”)
w1_E02_3Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)
w1_E02_4Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)
w1_E02_5Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)
w1_E02_6Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)
w1_E02_7Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)
w1_E02_8Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)
w1_E02_9Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)
w1_E02_10Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)
w1_E02_11Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)
w1_E02_12Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)
w1_E02_13Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)
w1_E02_14Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)
w1_E02_15Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)
w1_E02_16Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)
w1_E02_17Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)
w1_E02_18Do you use social networking sites for reading news? (1 “never” – 6 “very often”)
w1_E02_19Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)
w1_E02_20Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)
w1_E02_21
w1_E03You know what a chatbot is? 1. Yes, 2. No [go to F01]
w1_E04Currently, do you use some chatbot? 1. Yes [go to E06], 2. No
w1_E05In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]
w1_E06How many chatbot apps have you installed on your smartphone? N.|__|
w1_E07Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)
w1_E08How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day
w1_E09_1How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_2How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_3How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_4How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_5How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_6How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_E09_7How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)
w1_F01Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]
w1_F02
w1_F03_1Please mark the categories of interest of the society(ies) you belong to: Faith
w1_F03_2Please mark the categories of interest of the society(ies) you belong to: Arts and Performance
w1_F03_3Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F03_4Please mark the categories of interest of the society(ies) you belong to: Cultural and National
w1_F03_5Please mark the categories of interest of the society(ies) you belong to: Careers
w1_F03_6Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity
w1_F03_7Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F03_8Please mark the categories of interest of the society(ies) you belong to: Media
w1_F03_9Please mark the categories of interest of the society(ies) you belong to: Sport
w1_F03_10Please mark the categories of interest of the society(ies) you belong to: Recreational
w1_F03_otherPlease mark the categories of interest of the society(ies) you belong to: Other, specify: ________
w1_F04_1Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith
w1_F04_2Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance
w1_F04_3Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)
w1_F04_4Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National
w1_F04_5Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers
w1_F04_6Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity
w1_F04_7Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)
w1_F04_8Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media
w1_F04_9Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport
w1_F04_10Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational
w1_F04_otherPlease mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify
w1_G01_1Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO
w1_G01_2Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO
w1_G01_3Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO
w1_G01_4Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO
w1_G01_5Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO
w1_G01_6Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO
w1_G01_7Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO
w1_G01_8Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO
w1_G01_9Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO
w1_G02_1How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often
w1_G02_2How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often
w1_G02_3How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often
w1_G02_4How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often
w1_G02_5How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often
w1_G02_6How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often
w1_G02_7How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often
w1_G02_8How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often
w1_G02_9How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often
w1_G02_10How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often
w1_G02_11How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often
w1_G02_12How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often
w1_G02_13How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often
w1_G02_14How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often
w1_G02_15How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often
w1_G02_16How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often
w1_G03_1Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often
w1_G03_2Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often
w1_G03_3Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often
w1_G03_4Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often
w1_G03_5Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often
w1_G03_6Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often
w1_G03_7Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often
w1_G03_8Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often
w1_G03_9Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often
w1_G03_10Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often
w1_G04_1During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_2During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_3During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_4During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_5During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often
w1_G04_6During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often
w1_G04_7During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often
w1_G04_8During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often
w1_G04_9During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often
w1_G04_10During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often
w1_G05_1During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G05_2During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often
w1_G06Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400
w1_G07_1During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G07_2During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No
w1_G08_1Which kind of books did you read? (tick all that apply): Literature & Novels
w1_G08_2Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy
w1_G08_3Which kind of books did you read? (tick all that apply): Mystery & Thrillers
w1_G08_4Which kind of books did you read? (tick all that apply): History
w1_G08_5Which kind of books did you read? (tick all that apply): Biographies
w1_G08_6Which kind of books did you read? (tick all that apply): Health, Mind & Body
w1_G08_7Which kind of books did you read? (tick all that apply): Other kind of books
w1_G09In the last year or so, approximately how many books have you read (not for study)? |__|__|
w1_G10_1Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_2Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_3Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G10_4Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never
w1_G11_1Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_G11_2Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never
w1_H01fWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01f_otherWhich is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____
w1_H01mWhich is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____
w1_H01m_otherWhich is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____
w1_H01fLSE
w1_H01mLSE
w1_H02fWhen you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03afMore precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03af_otherMore precisely he or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bfw1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bf_otherw1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____
w1_H02mWhen you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know
w1_H03amMore precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee
w1_H03am_otherMore precisely she or guardian is/was an….? Answer: Other, please specify: _____
w1_H03bmw1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker
w1_H03bm_other w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____
w1_I00Do you want to participate? 1. Yes, 2. No [go to I05]
w1_I01 Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’
w1_I03How many Mobile phones do you have? N. |__|
w1_I04 I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]
w1_BFI15_1Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.
w1_BFI15_2Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.
w1_BFI15_3Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.
w1_BFI15_4Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.
w1_BFI15_5Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.
w1_BFI15_6Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.
w1_BFI15_7Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.
w1_BFI15_8Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.
w1_BFI15_9Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.
w1_BFI15_10Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.
w1_BFI15_11Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.
w1_BFI15_12Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.
w1_BFI15_13Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.
w1_BFI15_14Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.
w1_BFI15_15Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.
w1_GT_BF15
w1_N01How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____
w1_N01_otherHow did you make a decision to become a student? | Answer: Other, please specify: ____
w1_N02Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]
w1_N03From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii
w1_N04For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years
w1_N05_1Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_2Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_3Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_4Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_5Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_6Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_7Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N05_8Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.
w1_N06Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____
w1_N06_otherPlease, give the reason to migrate to the city. | Answer: Other, please specify: ____
w1_interviewtimetime of interview
w1_GT_A0
w1_GT_A1
w1_GT_B
w1_GT_C
w1_GT_D
w1_GT_E
w1_GT_F
w1_GT_G1
w1_GT_G2
w1_GT_G3
w1_GT_H1
w1_GT_H2
w1_GT_I1
w1_GT_I2
w1_GT_N

Alerts

w1_experimentid has constant value "wenetItaly" Constant
w1_F03_1 is highly imbalanced (98.3%) Imbalance
w1_F03_2 is highly imbalanced (98.0%) Imbalance
w1_F03_3 is highly imbalanced (96.8%) Imbalance
w1_F03_4 is highly imbalanced (91.7%) Imbalance
w1_F03_5 is highly imbalanced (94.2%) Imbalance
w1_F03_6 is highly imbalanced (93.7%) Imbalance
w1_F03_7 is highly imbalanced (89.6%) Imbalance
w1_F03_8 is highly imbalanced (94.6%) Imbalance
w1_F03_9 is highly imbalanced (95.3%) Imbalance
w1_F03_10 is highly imbalanced (96.2%) Imbalance
w1_F04_1 is highly imbalanced (72.3%) Imbalance
w1_F04_2 is highly imbalanced (77.0%) Imbalance
w1_F04_3 is highly imbalanced (92.6%) Imbalance
w1_F04_4 is highly imbalanced (83.3%) Imbalance
w1_F04_5 is highly imbalanced (97.5%) Imbalance
w1_F04_6 is highly imbalanced (53.8%) Imbalance
w1_F04_7 is highly imbalanced (83.1%) Imbalance
w1_F04_8 is highly imbalanced (96.9%) Imbalance
w1_F04_9 is highly imbalanced (53.4%) Imbalance
w1_F04_10 is highly imbalanced (82.8%) Imbalance
w1_G08_6 is highly imbalanced (52.9%) Imbalance
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w1_submitdate has 1793 (31.5%) missing values Missing
w1_refurl has 4250 (74.7%) missing values Missing
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w1_A00_2 has 636 (11.2%) missing values Missing
w1_A01 has 1008 (17.7%) missing values Missing
w1_A02 has 1001 (17.6%) missing values Missing
w1_A03 has 839 (14.7%) missing values Missing
w1_A03JLU has 5692 (100.0%) missing values Missing
w1_A04AMRITA has 5692 (100.0%) missing values Missing
w1_A04AMRITA_other has 5692 (100.0%) missing values Missing
w1_A04AAU has 5692 (100.0%) missing values Missing
w1_A04JLU has 5692 (100.0%) missing values Missing
w1_A04LSE has 5692 (100.0%) missing values Missing
w1_A04NUM has 5692 (100.0%) missing values Missing
w1_A04UC has 5692 (100.0%) missing values Missing
w1_A04UNITN has 994 (17.5%) missing values Missing
w1_A04IPICYT has 5692 (100.0%) missing values Missing
w1_A05 has 5692 (100.0%) missing values Missing
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w1_A05AMRITA has 5692 (100.0%) missing values Missing
w1_A06 has 990 (17.4%) missing values Missing
w1_A07 has 1148 (20.2%) missing values Missing
w1_A08 has 1035 (18.2%) missing values Missing
w1_A09 has 5692 (100.0%) missing values Missing
w1_A09UNITN has 992 (17.4%) missing values Missing
w1_A09UC has 5692 (100.0%) missing values Missing
w1_A10UNITN has 3016 (53.0%) missing values Missing
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w1_A10NUM has 5692 (100.0%) missing values Missing
w1_A10LSE has 5692 (100.0%) missing values Missing
w1_A10UC has 5692 (100.0%) missing values Missing
w1_A10IPICYT has 5692 (100.0%) missing values Missing
w1_A11NUM has 5692 (100.0%) missing values Missing
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w1_B01_2 has 1358 (23.9%) missing values Missing
w1_B01_3 has 1365 (24.0%) missing values Missing
w1_B01_4 has 1366 (24.0%) missing values Missing
w1_B01_5 has 1366 (24.0%) missing values Missing
w1_B01_6 has 1366 (24.0%) missing values Missing
w1_B01_7 has 1371 (24.1%) missing values Missing
w1_B01_8 has 1369 (24.1%) missing values Missing
w1_B01_9 has 1371 (24.1%) missing values Missing
w1_B01_10 has 1376 (24.2%) missing values Missing
w1_B01_11 has 1376 (24.2%) missing values Missing
w1_B01_12 has 1377 (24.2%) missing values Missing
w1_B01_13 has 1364 (24.0%) missing values Missing
w1_B01_14 has 1373 (24.1%) missing values Missing
w1_B01_15 has 1369 (24.1%) missing values Missing
w1_B01_16 has 1375 (24.2%) missing values Missing
w1_B01_17 has 1375 (24.2%) missing values Missing
w1_B01_18 has 1371 (24.1%) missing values Missing
w1_B01_19 has 1374 (24.1%) missing values Missing
w1_B01_20 has 1374 (24.1%) missing values Missing
w1_B02_1 has 1373 (24.1%) missing values Missing
w1_B02_2 has 1374 (24.1%) missing values Missing
w1_B02_3 has 1411 (24.8%) missing values Missing
w1_B02_4 has 1387 (24.4%) missing values Missing
w1_B02_5 has 1387 (24.4%) missing values Missing
w1_B02_6 has 1381 (24.3%) missing values Missing
w1_B02_7 has 1388 (24.4%) missing values Missing
w1_B02_8 has 5692 (100.0%) missing values Missing
w1_B02_9 has 1383 (24.3%) missing values Missing
w1_B02_10 has 1390 (24.4%) missing values Missing
w1_B02_11 has 1384 (24.3%) missing values Missing
w1_B02_12 has 1394 (24.5%) missing values Missing
w1_B02_13 has 1387 (24.4%) missing values Missing
w1_B02_14 has 1385 (24.3%) missing values Missing
w1_B02_15 has 1383 (24.3%) missing values Missing
w1_B02_16 has 1407 (24.7%) missing values Missing
w1_B02_17 has 1387 (24.4%) missing values Missing
w1_B02_18 has 1380 (24.2%) missing values Missing
w1_B02JLU_1 has 5692 (100.0%) missing values Missing
w1_B02JLU_2 has 5692 (100.0%) missing values Missing
w1_B02JLU_3 has 5692 (100.0%) missing values Missing
w1_B02JLU_4 has 5692 (100.0%) missing values Missing
w1_B02JLU_5 has 5692 (100.0%) missing values Missing
w1_B02JLU_6 has 5692 (100.0%) missing values Missing
w1_B02JLU_7 has 5692 (100.0%) missing values Missing
w1_B02JLU_8 has 5692 (100.0%) missing values Missing
w1_B02JLU_9 has 5692 (100.0%) missing values Missing
w1_B02JLU_10 has 5692 (100.0%) missing values Missing
w1_B02JLU_11 has 5692 (100.0%) missing values Missing
w1_B02JLU_12 has 5692 (100.0%) missing values Missing
w1_B02JLU_13 has 5692 (100.0%) missing values Missing
w1_B02JLU_14 has 5692 (100.0%) missing values Missing
w1_B02JLU_15 has 5692 (100.0%) missing values Missing
w1_B02JLU_16 has 5692 (100.0%) missing values Missing
w1_B02JLU_17 has 5692 (100.0%) missing values Missing
w1_B02JLU_18 has 5692 (100.0%) missing values Missing
w1_C01_1 has 1865 (32.8%) missing values Missing
w1_C01_2 has 2364 (41.5%) missing values Missing
w1_C01_3 has 2192 (38.5%) missing values Missing
w1_C01_4 has 1999 (35.1%) missing values Missing
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w1_C02_3 has 1508 (26.5%) missing values Missing
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w1_C02_9 has 1515 (26.6%) missing values Missing
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w1_C02_12 has 5692 (100.0%) missing values Missing
w1_D01 has 1602 (28.1%) missing values Missing
w1_D02 has 1457 (25.6%) missing values Missing
w1_D03 has 5008 (88.0%) missing values Missing
w1_D04 has 5023 (88.2%) missing values Missing
w1_D05 has 5006 (87.9%) missing values Missing
w1_E01_1 has 1539 (27.0%) missing values Missing
w1_E01_2 has 1542 (27.1%) missing values Missing
w1_E01_3 has 1545 (27.1%) missing values Missing
w1_E01_4 has 1541 (27.1%) missing values Missing
w1_E01_5 has 1536 (27.0%) missing values Missing
w1_E01_6 has 1536 (27.0%) missing values Missing
w1_E01_7 has 1545 (27.1%) missing values Missing
w1_E01_8 has 1543 (27.1%) missing values Missing
w1_E01_9 has 1550 (27.2%) missing values Missing
w1_E01_10 has 1543 (27.1%) missing values Missing
w1_E01_11 has 1543 (27.1%) missing values Missing
w1_E01_12 has 1549 (27.2%) missing values Missing
w1_E01_13 has 1545 (27.1%) missing values Missing
w1_E01_14 has 1543 (27.1%) missing values Missing
w1_E01_15 has 1545 (27.1%) missing values Missing
w1_E01_16 has 1540 (27.1%) missing values Missing
w1_E01_17 has 1536 (27.0%) missing values Missing
w1_E01_18 has 1537 (27.0%) missing values Missing
w1_E01_19 has 1536 (27.0%) missing values Missing
w1_E01JLU_1 has 5692 (100.0%) missing values Missing
w1_E01JLU_2 has 5692 (100.0%) missing values Missing
w1_E01JLU_3 has 5692 (100.0%) missing values Missing
w1_E01JLU_4 has 5692 (100.0%) missing values Missing
w1_E01JLU_5 has 5692 (100.0%) missing values Missing
w1_E01JLU_6 has 5692 (100.0%) missing values Missing
w1_E01JLU_7 has 5692 (100.0%) missing values Missing
w1_E01JLU_8 has 5692 (100.0%) missing values Missing
w1_E01JLU_9 has 5692 (100.0%) missing values Missing
w1_E01JLU_10 has 5692 (100.0%) missing values Missing
w1_E01JLU_11 has 5692 (100.0%) missing values Missing
w1_E01JLU_12 has 5692 (100.0%) missing values Missing
w1_E01JLU_13 has 5692 (100.0%) missing values Missing
w1_E01JLU_14 has 5692 (100.0%) missing values Missing
w1_E01JLU_15 has 5692 (100.0%) missing values Missing
w1_E01JLU_16 has 5692 (100.0%) missing values Missing
w1_E01JLU_17 has 5692 (100.0%) missing values Missing
w1_E01JLU_18 has 5692 (100.0%) missing values Missing
w1_E01JLU_19 has 5692 (100.0%) missing values Missing
w1_E01JLU_20 has 5692 (100.0%) missing values Missing
w1_E01JLU_21 has 5692 (100.0%) missing values Missing
w1_E01JLU_22 has 5692 (100.0%) missing values Missing
w1_E01JLU_23 has 5692 (100.0%) missing values Missing
w1_E01JLU_24 has 5692 (100.0%) missing values Missing
w1_E02_1 has 1534 (27.0%) missing values Missing
w1_E02_2 has 1541 (27.1%) missing values Missing
w1_E02_3 has 1540 (27.1%) missing values Missing
w1_E02_4 has 1561 (27.4%) missing values Missing
w1_E02_5 has 1548 (27.2%) missing values Missing
w1_E02_6 has 1558 (27.4%) missing values Missing
w1_E02_7 has 1545 (27.1%) missing values Missing
w1_E02_8 has 1548 (27.2%) missing values Missing
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w1_E02_11 has 1571 (27.6%) missing values Missing
w1_E02_12 has 1552 (27.3%) missing values Missing
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w1_E02_15 has 1551 (27.2%) missing values Missing
w1_E02_16 has 1552 (27.3%) missing values Missing
w1_E02_17 has 1555 (27.3%) missing values Missing
w1_E02_18 has 1561 (27.4%) missing values Missing
w1_E02_19 has 1551 (27.2%) missing values Missing
w1_E02_20 has 1550 (27.2%) missing values Missing
w1_E02_21 has 1555 (27.3%) missing values Missing
w1_E03 has 1512 (26.6%) missing values Missing
w1_E04 has 3962 (69.6%) missing values Missing
w1_E05 has 4121 (72.4%) missing values Missing
w1_E06 has 5537 (97.3%) missing values Missing
w1_E07 has 5543 (97.4%) missing values Missing
w1_E08 has 5534 (97.2%) missing values Missing
w1_E09_1 has 5534 (97.2%) missing values Missing
w1_E09_2 has 5534 (97.2%) missing values Missing
w1_E09_3 has 5534 (97.2%) missing values Missing
w1_E09_4 has 5534 (97.2%) missing values Missing
w1_E09_5 has 5534 (97.2%) missing values Missing
w1_E09_6 has 5534 (97.2%) missing values Missing
w1_E09_7 has 5534 (97.2%) missing values Missing
w1_F01 has 1527 (26.8%) missing values Missing
w1_F02 has 4195 (73.7%) missing values Missing
w1_F03_other has 5644 (99.2%) missing values Missing
w1_F04_other has 5600 (98.4%) missing values Missing
w1_G01_1 has 1587 (27.9%) missing values Missing
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w1_G01_3 has 1598 (28.1%) missing values Missing
w1_G01_4 has 1592 (28.0%) missing values Missing
w1_G01_5 has 1591 (28.0%) missing values Missing
w1_G01_6 has 1604 (28.2%) missing values Missing
w1_G01_7 has 1604 (28.2%) missing values Missing
w1_G01_8 has 1591 (28.0%) missing values Missing
w1_G01_9 has 1647 (28.9%) missing values Missing
w1_G02_1 has 1603 (28.2%) missing values Missing
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w1_G02_7 has 1611 (28.3%) missing values Missing
w1_G02_8 has 1620 (28.5%) missing values Missing
w1_G02_9 has 1631 (28.7%) missing values Missing
w1_G02_10 has 1648 (29.0%) missing values Missing
w1_G02_11 has 1631 (28.7%) missing values Missing
w1_G02_12 has 1633 (28.7%) missing values Missing
w1_G02_13 has 1625 (28.5%) missing values Missing
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w1_G02_15 has 1648 (29.0%) missing values Missing
w1_G02_16 has 1605 (28.2%) missing values Missing
w1_G03_1 has 1670 (29.3%) missing values Missing
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w1_G03_6 has 1682 (29.6%) missing values Missing
w1_G03_7 has 1680 (29.5%) missing values Missing
w1_G03_8 has 1680 (29.5%) missing values Missing
w1_G03_9 has 1688 (29.7%) missing values Missing
w1_G03_10 has 1682 (29.6%) missing values Missing
w1_G04_1 has 1579 (27.7%) missing values Missing
w1_G04_2 has 1592 (28.0%) missing values Missing
w1_G04_3 has 1615 (28.4%) missing values Missing
w1_G04_4 has 1612 (28.3%) missing values Missing
w1_G04_5 has 1600 (28.1%) missing values Missing
w1_G04_6 has 1598 (28.1%) missing values Missing
w1_G04_7 has 1610 (28.3%) missing values Missing
w1_G04_8 has 1595 (28.0%) missing values Missing
w1_G04_9 has 1591 (28.0%) missing values Missing
w1_G04_10 has 1591 (28.0%) missing values Missing
w1_G05_1 has 1647 (28.9%) missing values Missing
w1_G05_2 has 1652 (29.0%) missing values Missing
w1_G06 has 1740 (30.6%) missing values Missing
w1_G07_1 has 1700 (29.9%) missing values Missing
w1_G07_2 has 1700 (29.9%) missing values Missing
w1_G09 has 2468 (43.4%) missing values Missing
w1_G10_1 has 1759 (30.9%) missing values Missing
w1_G10_2 has 1765 (31.0%) missing values Missing
w1_G10_3 has 1774 (31.2%) missing values Missing
w1_G10_4 has 1760 (30.9%) missing values Missing
w1_G11_1 has 1752 (30.8%) missing values Missing
w1_G11_2 has 1757 (30.9%) missing values Missing
w1_H01f has 1751 (30.8%) missing values Missing
w1_H01f_other has 5637 (99.0%) missing values Missing
w1_H01m has 1750 (30.7%) missing values Missing
w1_H01m_other has 5643 (99.1%) missing values Missing
w1_H01fLSE has 5692 (100.0%) missing values Missing
w1_H01mLSE has 5692 (100.0%) missing values Missing
w1_H02f has 1732 (30.4%) missing values Missing
w1_H03af has 3255 (57.2%) missing values Missing
w1_H03af_other has 5598 (98.3%) missing values Missing
w1_H03bf has 4545 (79.8%) missing values Missing
w1_H03bf_other has 5661 (99.5%) missing values Missing
w1_H02m has 1732 (30.4%) missing values Missing
w1_H03am has 3194 (56.1%) missing values Missing
w1_H03am_other has 5571 (97.9%) missing values Missing
w1_H03bm has 5278 (92.7%) missing values Missing
w1_H03bm_other has 5681 (99.8%) missing values Missing
w1_I00 has 1790 (31.4%) missing values Missing
w1_I01 has 3860 (67.8%) missing values Missing
w1_I03 has 4513 (79.3%) missing values Missing
w1_I04 has 4495 (79.0%) missing values Missing
w1_BFI15_1 has 5692 (100.0%) missing values Missing
w1_BFI15_2 has 5692 (100.0%) missing values Missing
w1_BFI15_3 has 5692 (100.0%) missing values Missing
w1_BFI15_4 has 5692 (100.0%) missing values Missing
w1_BFI15_5 has 5692 (100.0%) missing values Missing
w1_BFI15_6 has 5692 (100.0%) missing values Missing
w1_BFI15_7 has 5692 (100.0%) missing values Missing
w1_BFI15_8 has 5692 (100.0%) missing values Missing
w1_BFI15_9 has 5692 (100.0%) missing values Missing
w1_BFI15_10 has 5692 (100.0%) missing values Missing
w1_BFI15_11 has 5692 (100.0%) missing values Missing
w1_BFI15_12 has 5692 (100.0%) missing values Missing
w1_BFI15_13 has 5692 (100.0%) missing values Missing
w1_BFI15_14 has 5692 (100.0%) missing values Missing
w1_BFI15_15 has 5692 (100.0%) missing values Missing
w1_GT_BF15 has 5692 (100.0%) missing values Missing
w1_N01 has 5692 (100.0%) missing values Missing
w1_N01_other has 5692 (100.0%) missing values Missing
w1_N02 has 5692 (100.0%) missing values Missing
w1_N03 has 5692 (100.0%) missing values Missing
w1_N04 has 5692 (100.0%) missing values Missing
w1_N05_1 has 5692 (100.0%) missing values Missing
w1_N05_2 has 5692 (100.0%) missing values Missing
w1_N05_3 has 5692 (100.0%) missing values Missing
w1_N05_4 has 5692 (100.0%) missing values Missing
w1_N05_5 has 5692 (100.0%) missing values Missing
w1_N05_6 has 5692 (100.0%) missing values Missing
w1_N05_7 has 5692 (100.0%) missing values Missing
w1_N05_8 has 5692 (100.0%) missing values Missing
w1_N06 has 5692 (100.0%) missing values Missing
w1_N06_other has 5692 (100.0%) missing values Missing
w1_GT_A0 has 636 (11.2%) missing values Missing
w1_GT_A1 has 979 (17.2%) missing values Missing
w1_GT_B has 1339 (23.5%) missing values Missing
w1_GT_C has 1284 (22.6%) missing values Missing
w1_GT_D has 1453 (25.5%) missing values Missing
w1_GT_E has 1510 (26.5%) missing values Missing
w1_GT_F has 1525 (26.8%) missing values Missing
w1_GT_G1 has 1559 (27.4%) missing values Missing
w1_GT_G2 has 1493 (26.2%) missing values Missing
w1_GT_G3 has 1580 (27.8%) missing values Missing
w1_GT_H1 has 1711 (30.1%) missing values Missing
w1_GT_H2 has 1730 (30.4%) missing values Missing
w1_GT_I1 has 1786 (31.4%) missing values Missing
w1_GT_I2 has 2913 (51.2%) missing values Missing
w1_GT_N has 5692 (100.0%) missing values Missing
w1_A02 is highly skewed (γ1 = -65.73479092) Skewed
w1_A07 is highly skewed (γ1 = 67.4091851) Skewed
w1_C01_4 is highly skewed (γ1 = 22.37139192) Skewed
w1_D01 is highly skewed (γ1 = 48.74471343) Skewed
w1_GT_A0 is highly skewed (γ1 = 31.47916621) Skewed
w1_GT_C is highly skewed (γ1 = 24.07187392) Skewed
w1_GT_D is highly skewed (γ1 = 54.92931365) Skewed
w1_GT_E is highly skewed (γ1 = 28.77872088) Skewed
w1_GT_F is highly skewed (γ1 = 48.36029776) Skewed
w1_GT_G1 is highly skewed (γ1 = 26.08875526) Skewed
w1_GT_G2 is highly skewed (γ1 = 20.5878391) Skewed
w1_GT_H1 is highly skewed (γ1 = 25.10012524) Skewed
w1_GT_H2 is highly skewed (γ1 = 23.67568199) Skewed
w1_GT_I2 is highly skewed (γ1 = 29.42941625) Skewed
token has unique values Unique
w1_A03JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A05AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_B02JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C02_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_19 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_20 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_21 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_22 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_23 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_E01JLU_24 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01fLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_H01mLSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_BFI15_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_BF15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N01_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N02 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N03 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N04 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N05_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_N06_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_GT_N is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_C01_1 has 899 (15.8%) zeros Zeros
w1_C01_2 has 2002 (35.2%) zeros Zeros
w1_C01_3 has 1716 (30.1%) zeros Zeros
w1_C01_4 has 1788 (31.4%) zeros Zeros
w1_D01 has 197 (3.5%) zeros Zeros
w1_F02 has 1102 (19.4%) zeros Zeros
w1_interviewtime has 636 (11.2%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:44:11.391117
Analysis finished2025-02-26 16:44:12.237789
Duration0.85 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct5692
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size128.0 KiB
2025-02-26T17:44:12.387467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters85380
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5692 ?
Unique (%)100.0%

Sample

1st row007Leg2efWazIE2
2nd row00eShS64wmzahYL
3rd row01kjRTa0y3keokw
4th row01zI00ufg9rG1Hm
5th row02CsZaABrjt3YR3
ValueCountFrequency (%)
007leg2efwazie2 1
 
< 0.1%
00eshs64wmzahyl 1
 
< 0.1%
01kjrta0y3keokw 1
 
< 0.1%
01zi00ufg9rg1hm 1
 
< 0.1%
02cszaabrjt3yr3 1
 
< 0.1%
02dx2leqlccrgw5 1
 
< 0.1%
02kbw6by0e7aypm 1
 
< 0.1%
03khojmqoqsap2n 1
 
< 0.1%
046rufdwzazfqqf 1
 
< 0.1%
04dcdmpxaqkbqqj 1
 
< 0.1%
Other values (5682) 5682
99.8%
2025-02-26T17:44:12.598923image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 2748
 
3.2%
z 2736
 
3.2%
f 1419
 
1.7%
Q 1405
 
1.6%
i 1399
 
1.6%
s 1396
 
1.6%
5 1394
 
1.6%
C 1383
 
1.6%
8 1375
 
1.6%
T 1374
 
1.6%
Other values (52) 68751
80.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 85380
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 2748
 
3.2%
z 2736
 
3.2%
f 1419
 
1.7%
Q 1405
 
1.6%
i 1399
 
1.6%
s 1396
 
1.6%
5 1394
 
1.6%
C 1383
 
1.6%
8 1375
 
1.6%
T 1374
 
1.6%
Other values (52) 68751
80.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 85380
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 2748
 
3.2%
z 2736
 
3.2%
f 1419
 
1.7%
Q 1405
 
1.6%
i 1399
 
1.6%
s 1396
 
1.6%
5 1394
 
1.6%
C 1383
 
1.6%
8 1375
 
1.6%
T 1374
 
1.6%
Other values (52) 68751
80.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 85380
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 2748
 
3.2%
z 2736
 
3.2%
f 1419
 
1.7%
Q 1405
 
1.6%
i 1399
 
1.6%
s 1396
 
1.6%
5 1394
 
1.6%
C 1383
 
1.6%
8 1375
 
1.6%
T 1374
 
1.6%
Other values (52) 68751
80.5%

w1_experimentid
Text

Constant 

experiment id

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size100.2 KiB
2025-02-26T17:44:12.669571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters56920
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetItaly
2nd rowwenetItaly
3rd rowwenetItaly
4th rowwenetItaly
5th rowwenetItaly
ValueCountFrequency (%)
wenetitaly 5692
100.0%
2025-02-26T17:44:12.768992image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 11384
20.0%
t 11384
20.0%
w 5692
10.0%
n 5692
10.0%
I 5692
10.0%
a 5692
10.0%
l 5692
10.0%
y 5692
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 56920
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 11384
20.0%
t 11384
20.0%
w 5692
10.0%
n 5692
10.0%
I 5692
10.0%
a 5692
10.0%
l 5692
10.0%
y 5692
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 56920
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 11384
20.0%
t 11384
20.0%
w 5692
10.0%
n 5692
10.0%
I 5692
10.0%
a 5692
10.0%
l 5692
10.0%
y 5692
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 56920
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 11384
20.0%
t 11384
20.0%
w 5692
10.0%
n 5692
10.0%
I 5692
10.0%
a 5692
10.0%
l 5692
10.0%
y 5692
10.0%

w1_fillinquest
Real number (ℝ)

fillinquest

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.952389318
Minimum-1
Maximum5
Zeros0
Zeros (%)0.0%
Negative636
Negative (%)11.2%
Memory size50.2 KiB
2025-02-26T17:44:12.806883image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q13
median5
Q35
95-th percentile5
Maximum5
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.910678843
Coefficient of variation (CV)0.4834237442
Kurtosis2.120492278
Mean3.952389318
Median Absolute Deviation (MAD)0
Skewness-1.855298681
Sum22497
Variance3.65069364
MonotonicityNot monotonic
2025-02-26T17:44:12.841096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 3899
68.5%
3 990
 
17.4%
-1 636
 
11.2%
4 167
 
2.9%
ValueCountFrequency (%)
-1 636
 
11.2%
3 990
 
17.4%
4 167
 
2.9%
5 3899
68.5%
ValueCountFrequency (%)
5 3899
68.5%
4 167
 
2.9%
3 990
 
17.4%
-1 636
 
11.2%

w1_lastpage
Real number (ℝ)

Missing 

last page

Distinct14
Distinct (%)0.3%
Missing636
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean12.92780854
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:12.877528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q115
median15
Q315
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.317623126
Coefficient of variation (CV)0.3339795072
Kurtosis1.646021023
Mean12.92780854
Median Absolute Deviation (MAD)0
Skewness-1.828168858
Sum65363
Variance18.64186946
MonotonicityNot monotonic
2025-02-26T17:44:12.915237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
15 3899
68.5%
3 340
 
6.0%
1 179
 
3.1%
4 142
 
2.5%
13 86
 
1.5%
9 85
 
1.5%
10 83
 
1.5%
14 81
 
1.4%
6 55
 
1.0%
8 36
 
0.6%
Other values (4) 70
 
1.2%
(Missing) 636
 
11.2%
ValueCountFrequency (%)
1 179
3.1%
3 340
6.0%
4 142
2.5%
5 16
 
0.3%
6 55
 
1.0%
ValueCountFrequency (%)
15 3899
68.5%
14 81
 
1.4%
13 86
 
1.5%
12 28
 
0.5%
11 12
 
0.2%

w1_submitdate
Date

Missing 

date of submission

Distinct3878
Distinct (%)99.5%
Missing1793
Missing (%)31.5%
Memory size44.6 KiB
Minimum2020-09-28 07:29:22
Maximum2020-11-04 16:41:32
2025-02-26T17:44:12.960254image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:44:13.012375image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_startlanguage
Text

start language

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size55.7 KiB
2025-02-26T17:44:13.048148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.001756852
Min length2

Characters and Unicode

Total characters11394
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowit
2nd rowit
3rd rowit
4th rowit
5th rowit
ValueCountFrequency (%)
it 5618
98.7%
en 64
 
1.1%
es 8
 
0.1%
zh-hans 2
 
< 0.1%
2025-02-26T17:44:13.121116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 5618
49.3%
t 5618
49.3%
e 72
 
0.6%
n 66
 
0.6%
s 10
 
0.1%
z 2
 
< 0.1%
h 2
 
< 0.1%
- 2
 
< 0.1%
H 2
 
< 0.1%
a 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11394
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 5618
49.3%
t 5618
49.3%
e 72
 
0.6%
n 66
 
0.6%
s 10
 
0.1%
z 2
 
< 0.1%
h 2
 
< 0.1%
- 2
 
< 0.1%
H 2
 
< 0.1%
a 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11394
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 5618
49.3%
t 5618
49.3%
e 72
 
0.6%
n 66
 
0.6%
s 10
 
0.1%
z 2
 
< 0.1%
h 2
 
< 0.1%
- 2
 
< 0.1%
H 2
 
< 0.1%
a 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11394
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 5618
49.3%
t 5618
49.3%
e 72
 
0.6%
n 66
 
0.6%
s 10
 
0.1%
z 2
 
< 0.1%
h 2
 
< 0.1%
- 2
 
< 0.1%
H 2
 
< 0.1%
a 2
 
< 0.1%

w1_startdate
Date

Start date

Distinct5647
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
Minimum2020-09-28 07:12:33
Maximum2020-11-04 16:28:47
2025-02-26T17:44:13.167950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:44:13.273731image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_datestamp
Date

datestamp

Distinct5644
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size44.6 KiB
Minimum2020-09-28 07:29:22
Maximum2020-11-04 16:41:32
2025-02-26T17:44:13.325917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:44:13.377379image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_refurl
Text

Missing 

reference url

Distinct4
Distinct (%)0.3%
Missing4250
Missing (%)74.7%
Memory size61.7 KiB
2025-02-26T17:44:13.454569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length11.67683773
Min length4

Characters and Unicode

Total characters16838
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowandroid-gmail
4th rowmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 1177
81.6%
mail 187
 
13.0%
limesurvey 75
 
5.2%
search-engine 3
 
0.2%
2025-02-26T17:44:13.566198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 2619
15.6%
a 2544
15.1%
d 2354
14.0%
m 1439
8.5%
l 1439
8.5%
r 1255
7.5%
n 1183
7.0%
- 1180
7.0%
g 1180
7.0%
o 1177
7.0%
Other values (7) 468
 
2.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16838
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 2619
15.6%
a 2544
15.1%
d 2354
14.0%
m 1439
8.5%
l 1439
8.5%
r 1255
7.5%
n 1183
7.0%
- 1180
7.0%
g 1180
7.0%
o 1177
7.0%
Other values (7) 468
 
2.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16838
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 2619
15.6%
a 2544
15.1%
d 2354
14.0%
m 1439
8.5%
l 1439
8.5%
r 1255
7.5%
n 1183
7.0%
- 1180
7.0%
g 1180
7.0%
o 1177
7.0%
Other values (7) 468
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16838
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 2619
15.6%
a 2544
15.1%
d 2354
14.0%
m 1439
8.5%
l 1439
8.5%
r 1255
7.5%
n 1183
7.0%
- 1180
7.0%
g 1180
7.0%
o 1177
7.0%
Other values (7) 468
 
2.8%

w1_A00_1
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you agree to participate in the WENET-Internet of us survey and tell us about your experience as a student at the University of […]?

Distinct2
Distinct (%)< 0.1%
Missing636
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.039359177
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:13.607417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.194467252
Coefficient of variation (CV)0.1871030307
Kurtosis20.46943055
Mean1.039359177
Median Absolute Deviation (MAD)0
Skewness4.739338944
Sum5255
Variance0.03781751211
MonotonicityNot monotonic
2025-02-26T17:44:13.644926image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 4857
85.3%
2 199
 
3.5%
(Missing) 636
 
11.2%
ValueCountFrequency (%)
1 4857
85.3%
2 199
 
3.5%
ValueCountFrequency (%)
2 199
 
3.5%
1 4857
85.3%

w1_A00_2
Real number (ℝ)

Missing 

Having read the informative and the privacy policy in the email (also linked below) ...do you authorize access to your university administrative data?

Distinct2
Distinct (%)< 0.1%
Missing636
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean1.148536392
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:13.682768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3556660681
Coefficient of variation (CV)0.3096689582
Kurtosis1.909879851
Mean1.148536392
Median Absolute Deviation (MAD)0
Skewness1.977150606
Sum5807
Variance0.126498352
MonotonicityNot monotonic
2025-02-26T17:44:13.720054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 4305
75.6%
2 751
 
13.2%
(Missing) 636
 
11.2%
ValueCountFrequency (%)
1 4305
75.6%
2 751
 
13.2%
ValueCountFrequency (%)
2 751
 
13.2%
1 4305
75.6%

w1_A01
Real number (ℝ)

Missing 

Which gender were you born? 1. Male, 2. Female?

Distinct2
Distinct (%)< 0.1%
Missing1008
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean1.604611443
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:13.756738image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4889861896
Coefficient of variation (CV)0.3047380671
Kurtosis-1.817546432
Mean1.604611443
Median Absolute Deviation (MAD)0
Skewness-0.42805352
Sum7516
Variance0.2391074937
MonotonicityNot monotonic
2025-02-26T17:44:13.795493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2832
49.8%
1 1852
32.5%
(Missing) 1008
 
17.7%
ValueCountFrequency (%)
1 1852
32.5%
2 2832
49.8%
ValueCountFrequency (%)
2 2832
49.8%
1 1852
32.5%

w1_A02
Real number (ℝ)

Missing  Skewed 

When were you born? Year:

Distinct49
Distinct (%)1.0%
Missing1001
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean1997.162865
Minimum19
Maximum2009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:13.840676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile1991
Q11996
median1999
Q32000
95-th percentile2001
Maximum2009
Range1990
Interquartile range (IQR)4

Descriptive statistics

Standard deviation29.28904396
Coefficient of variation (CV)0.01466532573
Kurtosis4439.339914
Mean1997.162865
Median Absolute Deviation (MAD)2
Skewness-65.73479092
Sum9368691
Variance857.8480962
MonotonicityNot monotonic
2025-02-26T17:44:13.894569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2001 914
16.1%
2000 875
15.4%
1999 705
12.4%
1998 536
9.4%
1997 433
7.6%
1996 410
7.2%
1995 212
 
3.7%
1994 138
 
2.4%
1993 94
 
1.7%
1992 61
 
1.1%
Other values (39) 313
 
5.5%
(Missing) 1001
17.6%
ValueCountFrequency (%)
19 1
< 0.1%
1943 1
< 0.1%
1948 1
< 0.1%
1956 1
< 0.1%
1957 1
< 0.1%
ValueCountFrequency (%)
2009 1
 
< 0.1%
2003 1
 
< 0.1%
2002 52
 
0.9%
2001 914
16.1%
2000 875
15.4%

w1_A03
Real number (ℝ)

Missing 

What is your nationality? [List, see Appendix]

Distinct57
Distinct (%)1.2%
Missing839
Missing (%)14.7%
Infinite0
Infinite (%)0.0%
Mean104.1392953
Minimum2
Maximum222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:13.947811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile104
Q1104
median104
Q3104
95-th percentile104
Maximum222
Range220
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.79363954
Coefficient of variation (CV)0.1228512207
Kurtosis44.59467362
Mean104.1392953
Median Absolute Deviation (MAD)0
Skewness0.3561032014
Sum505388
Variance163.6772128
MonotonicityNot monotonic
2025-02-26T17:44:13.996619image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104 4665
82.0%
165 27
 
0.5%
2 17
 
0.3%
29 11
 
0.2%
46 8
 
0.1%
137 8
 
0.1%
98 7
 
0.1%
95 7
 
0.1%
152 6
 
0.1%
69 5
 
0.1%
Other values (47) 92
 
1.6%
(Missing) 839
 
14.7%
ValueCountFrequency (%)
2 17
0.3%
4 1
 
< 0.1%
8 2
 
< 0.1%
9 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
222 1
 
< 0.1%
217 4
0.1%
213 1
 
< 0.1%
212 4
0.1%
211 3
0.1%

w1_A03JLU
Unsupported

Missing  Rejected  Unsupported 

What is your nationality? [List, see Appendix]

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A04AMRITA
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A04AMRITA_other
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer:

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A04AAU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04AAU. [List, see Appendix]:1. Electronic Systems 2. Architecture, Design and Media Technology 3. Chemistry and Bioscience 4. Communication and Psychology 5. Culture and Learning 6. Planning 7. Mathematical Sciences 8. Materials and Production 9. Business and Management 10. Sociology and Social Work 11. Political Science 12. Clinical Medicine 13. Built Environment

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A04JLU
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04JLU. [List, see Appendix]1. School of Philosophy and Society 2. Art college 3. Archaeological Institute 4. Foreign Language School 5. Art Academy 6. Sports Academy 7. School of Mathematics 8. School of Physics 9. School of Chemistry 10. College of Life Sciences 11. School of Electronic Science and Engineering 12. School of Communication Engineering 13. School of Computer Science and Technology 14. Software College 15. School of Economics 16. Law school 17. School of Administration 18. Business school 19. Institute of Finance 20. School of Mechanical Engineering 21. School of Automotive Engineering 22. material science and Engineering School 23. Jiaotong University 24. College of Biological and Agricultural Engineering 25. School of Management 26. School of Food Science and Engineering 27. School of Earth Sciences 28. School of Earth Exploration Science and Technology 29. School of Construction Engineering 30. School of New Energy and Environment 31. School of Instrument Science and Electrical Engineering 32. Basic Medical School 33. School of Public Health 34. College of Pharmacy 35. School of Nursing 36. School of Clinical Medicine 37. Bethune First Hospital 38. Bethune Second Hospital 39. Bethune Third Hospital 40. Bethune Dental Hospital 41. School of Animal Medicine 42. Faculty of Plant Science 43. College of Animal Science 44. Artificial Intelligence Academy

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A04LSE
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04LSE. [List, see Appendix]1. Department of Accounting 2. Department of Anthropology 3. Department of Economics 4. Department of Economic History 5. European Institute 6. Department of Finance 7. Department of Gender Studies 8. Department of Geography and Environment 9. Institute of Global Affairs (IGA) 10. Department of Government 11. Department of Health Policy 12. Department of International Development 13. Department of International History 14. International Inequalities Institute 15. Department of International Relations 16. Language Centre 17. Department of Law 18. Department of Management 19. Marshall Institute 20. Department of Mathematics 21. Department of Media and Communications 22. Department of Methodology 23. Department of Philosophy, Logic and Scientific Method 24. Department of Psychological and Behavioural Science 25. School of Public Policy (formerly Institute of Public Affairs) 26. Department of Social Policy 27. Department of Sociology 28. Department of Statistics

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A04NUM
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04NUM. [List, see Appendix]1. Business School 2. School of International Relations and Public Administration 3. School of Law 4. School of Engineering and Applied Sciences 5. School of Sciences – Division of Social Sciences 6. School of Sciences – Division of Natural Sciences 7. School of Sciences – Division of Humanities

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A04UC
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04UC. [List, see Appendix]1. Facultad de Ciencias Contables, Administrativas y Económicas 2. Facultad de Ciencias y Tecnología 3. Facultad de Ciencias de la Salud 4. Facultad de Ciencias Jurídicas y Diplomáticas 5. Facultad de Filosofía y Ciencias Humanas

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A04UNITN
Real number (ℝ)

Missing 

Question: In what faculty/department are you studying? | Answer: A04UNITN. [List, see Appendix]1. CIBIO 2. Economics and Management 3. Faculty of Law 4. Physics 5. Civil, Environmental and Mechanical Engineering 6. Information Engineering and Computer Science 7. Industrial Engineering 8. Humanities 9. Mathematics 10. Psychology and Cognitive Science 11. Sociology and Social Research 12. Center Agriculture Food Environment 13. CIMeC - Centre for Mind/Brain Sciences 14. SSI - School of International Studies 15. Other structures

Distinct15
Distinct (%)0.3%
Missing994
Missing (%)17.5%
Infinite0
Infinite (%)0.0%
Mean6.386547467
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.036158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median6
Q39
95-th percentile11
Maximum15
Range14
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.46213527
Coefficient of variation (CV)0.5420981035
Kurtosis-1.01405291
Mean6.386547467
Median Absolute Deviation (MAD)3
Skewness0.2141539289
Sum30004
Variance11.98638063
MonotonicityNot monotonic
2025-02-26T17:44:14.076727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 690
12.1%
8 668
11.7%
3 662
11.6%
11 591
10.4%
6 406
7.1%
5 403
7.1%
10 357
 
6.3%
7 282
 
5.0%
9 192
 
3.4%
1 143
 
2.5%
Other values (5) 304
 
5.3%
(Missing) 994
17.5%
ValueCountFrequency (%)
1 143
 
2.5%
2 690
12.1%
3 662
11.6%
4 124
 
2.2%
5 403
7.1%
ValueCountFrequency (%)
15 40
 
0.7%
14 59
 
1.0%
13 33
 
0.6%
12 48
 
0.8%
11 591
10.4%

w1_A04IPICYT
Unsupported

Missing  Rejected  Unsupported 

Question: In what faculty/department are you studying? | Answer: A04IPICYT. [List, see Appendix]

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A05
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3.PhD

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A05UNITN
Real number (ℝ)

Missing 

Type of degree: 1. BSc, 2. MSc, 3. 5 years

Distinct3
Distinct (%)0.1%
Missing989
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean1.537954497
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.115757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7408846498
Coefficient of variation (CV)0.4817337907
Kurtosis-0.5155850587
Mean1.537954497
Median Absolute Deviation (MAD)0
Skewness0.9775542392
Sum7233
Variance0.5489100643
MonotonicityNot monotonic
2025-02-26T17:44:14.156266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 2879
50.6%
2 1118
 
19.6%
3 706
 
12.4%
(Missing) 989
 
17.4%
ValueCountFrequency (%)
1 2879
50.6%
2 1118
 
19.6%
3 706
 
12.4%
ValueCountFrequency (%)
3 706
 
12.4%
2 1118
 
19.6%
1 2879
50.6%

w1_A05AMRITA
Unsupported

Missing  Rejected  Unsupported 

Type of degree: 1. BSc, 2. MSc, 3.M.B.B.S, 4.MBA, 5.M.Tech, 6.B.Tech, 7.Integrated degree, 8.MHA, 9.B.Pharm, 10.M.D, 11.B.A.M.S, 12.BCA, 13.M.Pharm, 14.MCA, 15.M.S, 16.Mch

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A06
Real number (ℝ)

Missing 

Programme: 1. Full Time, 2. Part Time

Distinct2
Distinct (%)< 0.1%
Missing990
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean1.038281582
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.197311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1918956339
Coefficient of variation (CV)0.1848204159
Kurtosis21.18582522
Mean1.038281582
Median Absolute Deviation (MAD)0
Skewness4.814230363
Sum4882
Variance0.03682393431
MonotonicityNot monotonic
2025-02-26T17:44:14.234213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 4522
79.4%
2 180
 
3.2%
(Missing) 990
 
17.4%
ValueCountFrequency (%)
1 4522
79.4%
2 180
 
3.2%
ValueCountFrequency (%)
2 180
 
3.2%
1 4522
79.4%

w1_A07
Real number (ℝ)

Missing  Skewed 

[Not for LSE if A05=2 AND A06=1] Course year

Distinct12
Distinct (%)0.3%
Missing1148
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean4453.919894
Minimum1
Maximum20202021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.273054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum20202021
Range20202020
Interquartile range (IQR)2

Descriptive statistics

Standard deviation299692.2497
Coefficient of variation (CV)67.28730125
Kurtosis4543.998824
Mean4453.919894
Median Absolute Deviation (MAD)1
Skewness67.4091851
Sum20238612
Variance8.981544451 × 1010
MonotonicityNot monotonic
2025-02-26T17:44:14.316246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 1503
26.4%
1 1415
24.9%
3 1035
18.2%
4 220
 
3.9%
5 218
 
3.8%
6 139
 
2.4%
2020 6
 
0.1%
2021 3
 
0.1%
2018 2
 
< 0.1%
2019 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 1148
20.2%
ValueCountFrequency (%)
1 1415
24.9%
2 1503
26.4%
3 1035
18.2%
4 220
 
3.9%
5 218
 
3.8%
ValueCountFrequency (%)
20202021 1
 
< 0.1%
2023 1
 
< 0.1%
2021 3
0.1%
2020 6
0.1%
2019 1
 
< 0.1%

w1_A08
Real number (ℝ)

Missing 

You are: 1. Regularly enrolled for a BAs/MAs degree, 2. Register on supplementary year

Distinct2
Distinct (%)< 0.1%
Missing1035
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean1.114880825
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.357943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3189123075
Coefficient of variation (CV)0.2860505809
Kurtosis3.839873818
Mean1.114880825
Median Absolute Deviation (MAD)0
Skewness2.416241901
Sum5192
Variance0.1017050599
MonotonicityNot monotonic
2025-02-26T17:44:14.394630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 4122
72.4%
2 535
 
9.4%
(Missing) 1035
 
18.2%
ValueCountFrequency (%)
1 4122
72.4%
2 535
 
9.4%
ValueCountFrequency (%)
2 535
 
9.4%
1 4122
72.4%

w1_A09
Unsupported

Missing  Rejected  Unsupported 

[Not for LSE, NUM, UC and UNITN] Where do you live during term time?: 1. In the town where the university is located. 2. Close to the city where the university is located (less than 1.30 hours of travel). [go to A11] 3. In another city away from where the university is located (more than 1.30 hours of travel) [go to A11] 4. Abroad (e.g., Erasmus student) [go to B01]

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A09UNITN
Real number (ℝ)

Missing 

Where do you live during term time? [See Appendix] 1. Trento [go to A10UNITN] 2. Rovereto 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Distinct5
Distinct (%)0.1%
Missing992
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean1.955106383
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.430179image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.199908439
Coefficient of variation (CV)0.6137305106
Kurtosis-1.004754479
Mean1.955106383
Median Absolute Deviation (MAD)0
Skewness0.7192765806
Sum9189
Variance1.439780261
MonotonicityNot monotonic
2025-02-26T17:44:14.471119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2696
47.4%
3 1068
 
18.8%
4 620
 
10.9%
2 257
 
4.5%
5 59
 
1.0%
(Missing) 992
 
17.4%
ValueCountFrequency (%)
1 2696
47.4%
2 257
 
4.5%
3 1068
 
18.8%
4 620
 
10.9%
5 59
 
1.0%
ValueCountFrequency (%)
5 59
 
1.0%
4 620
 
10.9%
3 1068
 
18.8%
2 257
 
4.5%
1 2696
47.4%

w1_A09UC
Unsupported

Missing  Rejected  Unsupported 

Where do you live during term time? [See Appendix]1. Asunción [go to A10UC] 2. In the town where the university is located. 3. Close to the city where the university is located (less than 1.30 hours of travel). 4. In another city away from where the university is located (more than 1.30 hours of travel) 5. Abroad (e.g. Erasmus student)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A10UNITN
Real number (ℝ)

Missing 

And exactly in which neighbourhood of the town do you live? And exactly in which district of the town do you live? [See Appendix]1. Center (from Cristo Re/San Martino to Fersina) 2. Piedicastello/Vela 3. Trento North (from Gardolo to loc.Solteri/Via Brennero/Via Maccani) 4. North of Gardolo (Lavis, Meano, Spini) 5. Argentario (Cognola/Martignano/Montevaccino/Villamontagna) 6. East hill (Mesiano/Povo/Oltrecastello/San Donà/Cognola/Villazzano) 7. Trento South (Bolghera/Clarina/San Bartolomeo/Madonna Bianca/Villazzano Tre) 8. Mattarello/Ravina/Romagnano 9. Bondone/Cadine/Sardagna/Sopramonte

Distinct9
Distinct (%)0.3%
Missing3016
Missing (%)53.0%
Infinite0
Infinite (%)0.0%
Mean2.978325859
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.510259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.606300267
Coefficient of variation (CV)0.8750890233
Kurtosis-1.167762298
Mean2.978325859
Median Absolute Deviation (MAD)0
Skewness0.7674813471
Sum7970
Variance6.792801084
MonotonicityNot monotonic
2025-02-26T17:44:14.551508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 1554
27.3%
7 505
 
8.9%
3 197
 
3.5%
6 186
 
3.3%
5 91
 
1.6%
2 59
 
1.0%
8 40
 
0.7%
4 23
 
0.4%
9 21
 
0.4%
(Missing) 3016
53.0%
ValueCountFrequency (%)
1 1554
27.3%
2 59
 
1.0%
3 197
 
3.5%
4 23
 
0.4%
5 91
 
1.6%
ValueCountFrequency (%)
9 21
 
0.4%
8 40
 
0.7%
7 505
8.9%
6 186
 
3.3%
5 91
 
1.6%

w1_A10AAU
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? And exactly in which neighbourhood of the town do you live? [See Appendix]1. Vesterbro/Kongens Enghave 2. Nørrebro 3. Østerbro 4. Amager Øst 5. Amager Vest 6. Valby 7. Bispebjerg 8. Vanløse 9. Brønshøj-Husum

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A10NUM
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? Please, enter the zip code of where you live during term time [See Appendix]

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A10LSE
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What is your first three digits of post code? [See Appendix]1. London Central (30 minutes from LSE) 2. Outer London (1hour from LSE) 3. Outside London

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_A10UC
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? What area exactly do you live in? [See Appendix]1. Centro 2. Sajonia 3. San Vicente y Santa Ana 4. Mcal López1 (entre Brasil y Gral Santos) 5. España1 (entre Brasil y Gral Santos) 6. Mcal López2 (entre Gral Santos y Rca. Argentina) 7. España2 (entre Gral Santos y Rca. Argentina) 8. Pinoza/ Seminario 9. Los Laureles 10. Shopping del Sol hasta calle Última 11. Trinidad 12. Loma Pyta

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A10IPICYT
Unsupported

Missing  Rejected  Unsupported 

And exactly in which neighbourhood of the town do you live? In which area do you live? [See Appendix]

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A11NUM
Unsupported

Missing  Rejected  Unsupported 

What kind of accommodation are you living in? [See Appendix]1. University dormitory (dormitory) 2. In the university apartment 3. Dormitory (Private dormitory) 4. Rental apartment / house 5. Own apartment or house (may be yours, parents 'or relatives') 6. As a private guest / guest (adjoining room for rent) 7. As a friend or guest of friends 8. Mongolian ger and fence 9. Fence in the house

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_A11
Real number (ℝ)

Missing 

What kind of accommodation are you living in? 1. University students’ Residence (dormitory) (e.g. LSE Hall of Residence, San Bartolameo, Danmarks Internationale Kollegium) 2. University flat 3. University campus4. A private sector Hall of Residence (Private students’ dormitory)5. Rental house/flat 6. in a house/apartment owned (by you, your parents, or relatives) 7. guest of a private person8. guest of friend or friends

Distinct8
Distinct (%)0.2%
Missing1043
Missing (%)18.3%
Infinite0
Infinite (%)0.0%
Mean5.122822112
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.591008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.260316172
Coefficient of variation (CV)0.2460198977
Kurtosis4.53584168
Mean5.122822112
Median Absolute Deviation (MAD)1
Skewness-2.107352759
Sum23816
Variance1.588396853
MonotonicityNot monotonic
2025-02-26T17:44:14.629640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 2078
36.5%
6 1996
35.1%
1 275
 
4.8%
4 166
 
2.9%
2 51
 
0.9%
3 48
 
0.8%
8 20
 
0.4%
7 15
 
0.3%
(Missing) 1043
18.3%
ValueCountFrequency (%)
1 275
 
4.8%
2 51
 
0.9%
3 48
 
0.8%
4 166
 
2.9%
5 2078
36.5%
ValueCountFrequency (%)
8 20
 
0.4%
7 15
 
0.3%
6 1996
35.1%
5 2078
36.5%
4 166
 
2.9%

w1_B01_1
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am the life of the party

Distinct5
Distinct (%)0.1%
Missing1359
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean2.767135934
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.667565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.125138768
Coefficient of variation (CV)0.4066076966
Kurtosis-0.8712806326
Mean2.767135934
Median Absolute Deviation (MAD)1
Skewness-0.05596772822
Sum11990
Variance1.265937248
MonotonicityNot monotonic
2025-02-26T17:44:14.708866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1407
24.7%
4 1030
18.1%
2 965
17.0%
1 734
12.9%
5 197
 
3.5%
(Missing) 1359
23.9%
ValueCountFrequency (%)
1 734
12.9%
2 965
17.0%
3 1407
24.7%
4 1030
18.1%
5 197
 
3.5%
ValueCountFrequency (%)
5 197
 
3.5%
4 1030
18.1%
3 1407
24.7%
2 965
17.0%
1 734
12.9%

w1_B01_2
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Sympathize with others’ feelings

Distinct5
Distinct (%)0.1%
Missing1358
Missing (%)23.9%
Infinite0
Infinite (%)0.0%
Mean4.045685279
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.752009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9439586856
Coefficient of variation (CV)0.2333247943
Kurtosis0.7821532777
Mean4.045685279
Median Absolute Deviation (MAD)1
Skewness-1.026539321
Sum17534
Variance0.8910580002
MonotonicityNot monotonic
2025-02-26T17:44:14.793525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1888
33.2%
5 1536
27.0%
3 552
 
9.7%
2 288
 
5.1%
1 70
 
1.2%
(Missing) 1358
23.9%
ValueCountFrequency (%)
1 70
 
1.2%
2 288
 
5.1%
3 552
 
9.7%
4 1888
33.2%
5 1536
27.0%
ValueCountFrequency (%)
5 1536
27.0%
4 1888
33.2%
3 552
 
9.7%
2 288
 
5.1%
1 70
 
1.2%

w1_B01_3
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get chores done right away

Distinct5
Distinct (%)0.1%
Missing1365
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean3.546799168
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.834779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9977173634
Coefficient of variation (CV)0.2813007774
Kurtosis-0.4582364603
Mean3.546799168
Median Absolute Deviation (MAD)1
Skewness-0.4162128642
Sum15347
Variance0.9954399372
MonotonicityNot monotonic
2025-02-26T17:44:14.876251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1798
31.6%
3 1100
19.3%
5 697
 
12.2%
2 638
 
11.2%
1 94
 
1.7%
(Missing) 1365
24.0%
ValueCountFrequency (%)
1 94
 
1.7%
2 638
 
11.2%
3 1100
19.3%
4 1798
31.6%
5 697
 
12.2%
ValueCountFrequency (%)
5 697
 
12.2%
4 1798
31.6%
3 1100
19.3%
2 638
 
11.2%
1 94
 
1.7%

w1_B01_4
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have frequent mood swings

Distinct5
Distinct (%)0.1%
Missing1366
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean3.035829866
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.916826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.267234609
Coefficient of variation (CV)0.4174260959
Kurtosis-1.085274106
Mean3.035829866
Median Absolute Deviation (MAD)1
Skewness-0.0413486407
Sum13133
Variance1.605883554
MonotonicityNot monotonic
2025-02-26T17:44:14.958162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1115
19.6%
2 1036
18.2%
3 975
17.1%
5 619
10.9%
1 581
10.2%
(Missing) 1366
24.0%
ValueCountFrequency (%)
1 581
10.2%
2 1036
18.2%
3 975
17.1%
4 1115
19.6%
5 619
10.9%
ValueCountFrequency (%)
5 619
10.9%
4 1115
19.6%
3 975
17.1%
2 1036
18.2%
1 581
10.2%

w1_B01_5
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have a vivid imagination

Distinct5
Distinct (%)0.1%
Missing1366
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean3.627600555
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:14.997858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0729533
Coefficient of variation (CV)0.29577493
Kurtosis-0.4709566
Mean3.627600555
Median Absolute Deviation (MAD)1
Skewness-0.4878394855
Sum15693
Variance1.151228785
MonotonicityNot monotonic
2025-02-26T17:44:15.039320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1561
27.4%
3 1069
18.8%
5 998
17.5%
2 554
 
9.7%
1 144
 
2.5%
(Missing) 1366
24.0%
ValueCountFrequency (%)
1 144
 
2.5%
2 554
 
9.7%
3 1069
18.8%
4 1561
27.4%
5 998
17.5%
ValueCountFrequency (%)
5 998
17.5%
4 1561
27.4%
3 1069
18.8%
2 554
 
9.7%
1 144
 
2.5%

w1_B01_6
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Don’t talk a lot

Distinct5
Distinct (%)0.1%
Missing1366
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean2.733240869
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.079383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.213999263
Coefficient of variation (CV)0.4441610971
Kurtosis-0.9445940498
Mean2.733240869
Median Absolute Deviation (MAD)1
Skewness0.1617675766
Sum11824
Variance1.473794211
MonotonicityNot monotonic
2025-02-26T17:44:15.185419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1151
20.2%
2 1117
19.6%
4 889
15.6%
1 816
14.3%
5 353
 
6.2%
(Missing) 1366
24.0%
ValueCountFrequency (%)
1 816
14.3%
2 1117
19.6%
3 1151
20.2%
4 889
15.6%
5 353
 
6.2%
ValueCountFrequency (%)
5 353
 
6.2%
4 889
15.6%
3 1151
20.2%
2 1117
19.6%
1 816
14.3%

w1_B01_7
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in other people’s problems

Distinct5
Distinct (%)0.1%
Missing1371
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean1.990511456
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.225716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.002844446
Coefficient of variation (CV)0.5038124466
Kurtosis0.2777107242
Mean1.990511456
Median Absolute Deviation (MAD)1
Skewness0.9200274733
Sum8601
Variance1.005696984
MonotonicityNot monotonic
2025-02-26T17:44:15.267144image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1621
28.5%
2 1610
28.3%
3 682
12.0%
4 326
 
5.7%
5 82
 
1.4%
(Missing) 1371
24.1%
ValueCountFrequency (%)
1 1621
28.5%
2 1610
28.3%
3 682
12.0%
4 326
 
5.7%
5 82
 
1.4%
ValueCountFrequency (%)
5 82
 
1.4%
4 326
 
5.7%
3 682
12.0%
2 1610
28.3%
1 1621
28.5%

w1_B01_8
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Often forget to put things back in their proper place

Distinct5
Distinct (%)0.1%
Missing1369
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.557020588
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.308236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.248478428
Coefficient of variation (CV)0.4882551335
Kurtosis-0.9661020081
Mean2.557020588
Median Absolute Deviation (MAD)1
Skewness0.3487008524
Sum11054
Variance1.558698386
MonotonicityNot monotonic
2025-02-26T17:44:15.349030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1225
21.5%
1 1068
18.8%
3 905
15.9%
4 804
14.1%
5 321
 
5.6%
(Missing) 1369
24.1%
ValueCountFrequency (%)
1 1068
18.8%
2 1225
21.5%
3 905
15.9%
4 804
14.1%
5 321
 
5.6%
ValueCountFrequency (%)
5 321
 
5.6%
4 804
14.1%
3 905
15.9%
2 1225
21.5%
1 1068
18.8%

w1_B01_9
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am relaxed most of the time

Distinct5
Distinct (%)0.1%
Missing1371
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.973154362
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.389764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.109396515
Coefficient of variation (CV)0.3731378796
Kurtosis-0.8023744326
Mean2.973154362
Median Absolute Deviation (MAD)1
Skewness-0.06711735819
Sum12847
Variance1.230760626
MonotonicityNot monotonic
2025-02-26T17:44:15.430575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1281
22.5%
4 1200
21.1%
2 1080
19.0%
1 439
 
7.7%
5 321
 
5.6%
(Missing) 1371
24.1%
ValueCountFrequency (%)
1 439
 
7.7%
2 1080
19.0%
3 1281
22.5%
4 1200
21.1%
5 321
 
5.6%
ValueCountFrequency (%)
5 321
 
5.6%
4 1200
21.1%
3 1281
22.5%
2 1080
19.0%
1 439
 
7.7%

w1_B01_10
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not interested in abstract ideas

Distinct5
Distinct (%)0.1%
Missing1376
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean2.318350324
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.471361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.071119519
Coefficient of variation (CV)0.4620179734
Kurtosis-0.3934950921
Mean2.318350324
Median Absolute Deviation (MAD)1
Skewness0.5182219719
Sum10006
Variance1.147297023
MonotonicityNot monotonic
2025-02-26T17:44:15.512566image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1468
25.8%
3 1131
19.9%
1 1112
19.5%
4 460
 
8.1%
5 145
 
2.5%
(Missing) 1376
24.2%
ValueCountFrequency (%)
1 1112
19.5%
2 1468
25.8%
3 1131
19.9%
4 460
 
8.1%
5 145
 
2.5%
ValueCountFrequency (%)
5 145
 
2.5%
4 460
 
8.1%
3 1131
19.9%
2 1468
25.8%
1 1112
19.5%

w1_B01_11
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Talk to a lot of different people at parties

Distinct5
Distinct (%)0.1%
Missing1376
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean3.028035218
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.553110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.197487495
Coefficient of variation (CV)0.3954668321
Kurtosis-0.9326858908
Mean3.028035218
Median Absolute Deviation (MAD)1
Skewness-0.06528465356
Sum13069
Variance1.433976301
MonotonicityNot monotonic
2025-02-26T17:44:15.594631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1155
20.3%
4 1150
20.2%
2 1001
17.6%
1 512
 
9.0%
5 498
 
8.7%
(Missing) 1376
24.2%
ValueCountFrequency (%)
1 512
9.0%
2 1001
17.6%
3 1155
20.3%
4 1150
20.2%
5 498
8.7%
ValueCountFrequency (%)
5 498
8.7%
4 1150
20.2%
3 1155
20.3%
2 1001
17.6%
1 512
9.0%

w1_B01_12
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Feel others’ emotions

Distinct5
Distinct (%)0.1%
Missing1377
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean3.767091541
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.634695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8117882923
Coefficient of variation (CV)0.2154947082
Kurtosis0.2290924812
Mean3.767091541
Median Absolute Deviation (MAD)1
Skewness-0.432661522
Sum16255
Variance0.6590002315
MonotonicityNot monotonic
2025-02-26T17:44:15.674866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 2127
37.4%
3 1216
21.4%
5 729
 
12.8%
2 211
 
3.7%
1 32
 
0.6%
(Missing) 1377
24.2%
ValueCountFrequency (%)
1 32
 
0.6%
2 211
 
3.7%
3 1216
21.4%
4 2127
37.4%
5 729
 
12.8%
ValueCountFrequency (%)
5 729
 
12.8%
4 2127
37.4%
3 1216
21.4%
2 211
 
3.7%
1 32
 
0.6%

w1_B01_13
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Like order

Distinct5
Distinct (%)0.1%
Missing1364
Missing (%)24.0%
Infinite0
Infinite (%)0.0%
Mean3.920055453
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.714037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9950581829
Coefficient of variation (CV)0.2538377824
Kurtosis0.1483615851
Mean3.920055453
Median Absolute Deviation (MAD)1
Skewness-0.8054685623
Sum16966
Variance0.9901407873
MonotonicityNot monotonic
2025-02-26T17:44:15.756746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1730
30.4%
5 1383
24.3%
3 787
13.8%
2 342
 
6.0%
1 86
 
1.5%
(Missing) 1364
24.0%
ValueCountFrequency (%)
1 86
 
1.5%
2 342
 
6.0%
3 787
13.8%
4 1730
30.4%
5 1383
24.3%
ValueCountFrequency (%)
5 1383
24.3%
4 1730
30.4%
3 787
13.8%
2 342
 
6.0%
1 86
 
1.5%

w1_B01_14
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Get upset easily

Distinct5
Distinct (%)0.1%
Missing1373
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.741143783
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.797717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.180805923
Coefficient of variation (CV)0.4307712461
Kurtosis-0.8989712101
Mean2.741143783
Median Absolute Deviation (MAD)1
Skewness0.1658237649
Sum11839
Variance1.394302628
MonotonicityNot monotonic
2025-02-26T17:44:15.839020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1215
21.3%
3 1144
20.1%
4 915
16.1%
1 727
12.8%
5 318
 
5.6%
(Missing) 1373
24.1%
ValueCountFrequency (%)
1 727
12.8%
2 1215
21.3%
3 1144
20.1%
4 915
16.1%
5 318
 
5.6%
ValueCountFrequency (%)
5 318
 
5.6%
4 915
16.1%
3 1144
20.1%
2 1215
21.3%
1 727
12.8%

w1_B01_15
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Have difficulty understanding abstract ideas

Distinct5
Distinct (%)0.1%
Missing1369
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.177654407
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.879019image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.999023287
Coefficient of variation (CV)0.4587611716
Kurtosis-0.1030685437
Mean2.177654407
Median Absolute Deviation (MAD)1
Skewness0.6460558157
Sum9414
Variance0.9980475279
MonotonicityNot monotonic
2025-02-26T17:44:15.920321image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1686
29.6%
1 1207
21.2%
3 974
17.1%
4 367
 
6.4%
5 89
 
1.6%
(Missing) 1369
24.1%
ValueCountFrequency (%)
1 1207
21.2%
2 1686
29.6%
3 974
17.1%
4 367
 
6.4%
5 89
 
1.6%
ValueCountFrequency (%)
5 89
 
1.6%
4 367
 
6.4%
3 974
17.1%
2 1686
29.6%
1 1207
21.2%

w1_B01_16
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Keep in the background

Distinct5
Distinct (%)0.1%
Missing1375
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean2.634005096
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:15.961548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.099933444
Coefficient of variation (CV)0.4175897173
Kurtosis-0.7076084746
Mean2.634005096
Median Absolute Deviation (MAD)1
Skewness0.1886504879
Sum11371
Variance1.20985358
MonotonicityNot monotonic
2025-02-26T17:44:16.002705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1358
23.9%
2 1249
21.9%
4 763
13.4%
1 747
13.1%
5 200
 
3.5%
(Missing) 1375
24.2%
ValueCountFrequency (%)
1 747
13.1%
2 1249
21.9%
3 1358
23.9%
4 763
13.4%
5 200
 
3.5%
ValueCountFrequency (%)
5 200
 
3.5%
4 763
13.4%
3 1358
23.9%
2 1249
21.9%
1 747
13.1%

w1_B01_17
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Am not really interested in others

Distinct5
Distinct (%)0.1%
Missing1375
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean1.859393097
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.043975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9539503266
Coefficient of variation (CV)0.5130439218
Kurtosis0.6535136071
Mean1.859393097
Median Absolute Deviation (MAD)1
Skewness1.058935589
Sum8027
Variance0.9100212257
MonotonicityNot monotonic
2025-02-26T17:44:16.085188image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1887
33.2%
2 1512
26.6%
3 617
 
10.8%
4 240
 
4.2%
5 61
 
1.1%
(Missing) 1375
24.2%
ValueCountFrequency (%)
1 1887
33.2%
2 1512
26.6%
3 617
 
10.8%
4 240
 
4.2%
5 61
 
1.1%
ValueCountFrequency (%)
5 61
 
1.1%
4 240
 
4.2%
3 617
 
10.8%
2 1512
26.6%
1 1887
33.2%

w1_B01_18
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Make a mess of things

Distinct5
Distinct (%)0.1%
Missing1371
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.611895395
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.126247image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.11804937
Coefficient of variation (CV)0.4280605463
Kurtosis-0.8415062662
Mean2.611895395
Median Absolute Deviation (MAD)1
Skewness0.1874227614
Sum11286
Variance1.250034393
MonotonicityNot monotonic
2025-02-26T17:44:16.167051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1286
22.6%
3 1204
21.2%
4 853
15.0%
1 800
14.1%
5 178
 
3.1%
(Missing) 1371
24.1%
ValueCountFrequency (%)
1 800
14.1%
2 1286
22.6%
3 1204
21.2%
4 853
15.0%
5 178
 
3.1%
ValueCountFrequency (%)
5 178
 
3.1%
4 853
15.0%
3 1204
21.2%
2 1286
22.6%
1 800
14.1%

w1_B01_19
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Seldom feel blue

Distinct5
Distinct (%)0.1%
Missing1374
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.515284854
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.206988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.083120775
Coefficient of variation (CV)0.4306155517
Kurtosis-0.5640958286
Mean2.515284854
Median Absolute Deviation (MAD)1
Skewness0.3901673825
Sum10861
Variance1.173150614
MonotonicityNot monotonic
2025-02-26T17:44:16.248657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1546
27.2%
3 1143
20.1%
1 786
13.8%
4 661
11.6%
5 182
 
3.2%
(Missing) 1374
24.1%
ValueCountFrequency (%)
1 786
13.8%
2 1546
27.2%
3 1143
20.1%
4 661
11.6%
5 182
 
3.2%
ValueCountFrequency (%)
5 182
 
3.2%
4 661
11.6%
3 1143
20.1%
2 1546
27.2%
1 786
13.8%

w1_B01_20
Real number (ℝ)

Missing 

Question: Describe yourself as you generally are now, not as you wish to be. Please use the scale below to rate how accurately each statement describes you. 1. Very Inaccurate, 2. Moderately Inaccurate, 3. Neither Accurate Nor Inaccurate, 4. Moderately Accurate, 5. Very Accurate. | Answer: Do not have a good imagination

Distinct5
Distinct (%)0.1%
Missing1374
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean2.107457156
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.289219image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.04609313
Coefficient of variation (CV)0.4963769378
Kurtosis-0.1594514423
Mean2.107457156
Median Absolute Deviation (MAD)1
Skewness0.7380584064
Sum9100
Variance1.094310836
MonotonicityNot monotonic
2025-02-26T17:44:16.331394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1503
26.4%
1 1469
25.8%
3 858
15.1%
4 389
 
6.8%
5 99
 
1.7%
(Missing) 1374
24.1%
ValueCountFrequency (%)
1 1469
25.8%
2 1503
26.4%
3 858
15.1%
4 389
 
6.8%
5 99
 
1.7%
ValueCountFrequency (%)
5 99
 
1.7%
4 389
 
6.8%
3 858
15.1%
2 1503
26.4%
1 1469
25.8%

w1_B02_1
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SOCIAL SUPPORT. To obtain help when you need it; to feel that you are not alone in the world.

Distinct7
Distinct (%)0.2%
Missing1373
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean5.501736513
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.369919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.428692365
Coefficient of variation (CV)0.2596802595
Kurtosis0.1974975412
Mean5.501736513
Median Absolute Deviation (MAD)1
Skewness-0.8765921135
Sum23762
Variance2.041161875
MonotonicityNot monotonic
2025-02-26T17:44:16.407838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1334
23.4%
6 1100
19.3%
5 959
16.8%
4 465
 
8.2%
3 290
 
5.1%
2 128
 
2.2%
1 43
 
0.8%
(Missing) 1373
24.1%
ValueCountFrequency (%)
1 43
 
0.8%
2 128
 
2.2%
3 290
 
5.1%
4 465
8.2%
5 959
16.8%
ValueCountFrequency (%)
7 1334
23.4%
6 1100
19.3%
5 959
16.8%
4 465
 
8.2%
3 290
 
5.1%

w1_B02_2
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SUCCESS. To reach your goals; to be efficient in everything you do.

Distinct7
Distinct (%)0.2%
Missing1374
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean5.92172302
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.443950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.064901363
Coefficient of variation (CV)0.1798296475
Kurtosis1.182260111
Mean5.92172302
Median Absolute Deviation (MAD)1
Skewness-1.029831778
Sum25570
Variance1.134014913
MonotonicityNot monotonic
2025-02-26T17:44:16.481249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1522
26.7%
6 1502
26.4%
5 884
15.5%
4 294
 
5.2%
3 84
 
1.5%
2 24
 
0.4%
1 8
 
0.1%
(Missing) 1374
24.1%
ValueCountFrequency (%)
1 8
 
0.1%
2 24
 
0.4%
3 84
 
1.5%
4 294
 
5.2%
5 884
15.5%
ValueCountFrequency (%)
7 1522
26.7%
6 1502
26.4%
5 884
15.5%
4 294
 
5.2%
3 84
 
1.5%

w1_B02_3
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SEXUALITY. To have sexual relationships; to obtain sexual pleasure.

Distinct7
Distinct (%)0.2%
Missing1411
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean4.568325158
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.518309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.530245299
Coefficient of variation (CV)0.3349685599
Kurtosis-0.4667974475
Mean4.568325158
Median Absolute Deviation (MAD)1
Skewness-0.3876586781
Sum19557
Variance2.341650676
MonotonicityNot monotonic
2025-02-26T17:44:16.554326image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 1089
19.1%
4 909
16.0%
6 873
15.3%
3 532
 
9.3%
7 407
 
7.2%
2 322
 
5.7%
1 149
 
2.6%
(Missing) 1411
24.8%
ValueCountFrequency (%)
1 149
 
2.6%
2 322
 
5.7%
3 532
9.3%
4 909
16.0%
5 1089
19.1%
ValueCountFrequency (%)
7 407
 
7.2%
6 873
15.3%
5 1089
19.1%
4 909
16.0%
3 532
9.3%

w1_B02_4
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: KNOWLEDGE. To look for up-to-date news on not very well-known matters; to try to discover new things about the world.

Distinct7
Distinct (%)0.2%
Missing1387
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean5.495238095
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.589612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.245265418
Coefficient of variation (CV)0.2266080917
Kurtosis0.1135287938
Mean5.495238095
Median Absolute Deviation (MAD)1
Skewness-0.7009291286
Sum23657
Variance1.550685962
MonotonicityNot monotonic
2025-02-26T17:44:16.627178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 1310
23.0%
5 1104
19.4%
7 1038
18.2%
4 547
 
9.6%
3 222
 
3.9%
2 73
 
1.3%
1 11
 
0.2%
(Missing) 1387
24.4%
ValueCountFrequency (%)
1 11
 
0.2%
2 73
 
1.3%
3 222
 
3.9%
4 547
9.6%
5 1104
19.4%
ValueCountFrequency (%)
7 1038
18.2%
6 1310
23.0%
5 1104
19.4%
4 547
9.6%
3 222
 
3.9%

w1_B02_5
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: EMOTION. To enjoy challenges or unknown situations; to look for adventure.

Distinct7
Distinct (%)0.2%
Missing1387
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean5.072938444
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.662888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.395616588
Coefficient of variation (CV)0.2751100972
Kurtosis-0.2678749924
Mean5.072938444
Median Absolute Deviation (MAD)1
Skewness-0.5206037583
Sum21839
Variance1.947745662
MonotonicityNot monotonic
2025-02-26T17:44:16.700223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 1156
20.3%
6 1105
19.4%
4 727
12.8%
7 704
12.4%
3 405
 
7.1%
2 170
 
3.0%
1 38
 
0.7%
(Missing) 1387
24.4%
ValueCountFrequency (%)
1 38
 
0.7%
2 170
 
3.0%
3 405
 
7.1%
4 727
12.8%
5 1156
20.3%
ValueCountFrequency (%)
7 704
12.4%
6 1105
19.4%
5 1156
20.3%
4 727
12.8%
3 405
 
7.1%

w1_B02_6
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: POWER. To have the power to influence others and to control decisions; to be the boss of a team.

Distinct7
Distinct (%)0.2%
Missing1381
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean4.105543957
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.735849image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.630977494
Coefficient of variation (CV)0.397262217
Kurtosis-0.8110448161
Mean4.105543957
Median Absolute Deviation (MAD)1
Skewness-0.04752405642
Sum17699
Variance2.660087587
MonotonicityNot monotonic
2025-02-26T17:44:16.773220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 930
16.3%
5 879
15.4%
3 753
13.2%
6 603
10.6%
2 569
10.0%
7 332
 
5.8%
1 245
 
4.3%
(Missing) 1381
24.3%
ValueCountFrequency (%)
1 245
 
4.3%
2 569
10.0%
3 753
13.2%
4 930
16.3%
5 879
15.4%
ValueCountFrequency (%)
7 332
 
5.8%
6 603
10.6%
5 879
15.4%
4 930
16.3%
3 753
13.2%

w1_B02_7
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: AFFECTIVITY. To have a deep and enduring affectionate relationship; to have somebody to share successes and failures.

Distinct7
Distinct (%)0.2%
Missing1388
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean5.858271375
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.808545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.343211432
Coefficient of variation (CV)0.2292846039
Kurtosis1.489895585
Mean5.858271375
Median Absolute Deviation (MAD)1
Skewness-1.336321582
Sum25214
Variance1.804216951
MonotonicityNot monotonic
2025-02-26T17:44:16.846093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1813
31.9%
6 1175
20.6%
5 687
 
12.1%
4 330
 
5.8%
3 163
 
2.9%
2 93
 
1.6%
1 43
 
0.8%
(Missing) 1388
24.4%
ValueCountFrequency (%)
1 43
 
0.8%
2 93
 
1.6%
3 163
 
2.9%
4 330
5.8%
5 687
12.1%
ValueCountFrequency (%)
7 1813
31.9%
6 1175
20.6%
5 687
 
12.1%
4 330
 
5.8%
3 163
 
2.9%

w1_B02_8
Unsupported

Missing  Rejected  Unsupported 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02_9
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: HEALTH. To look after your health at all times, not just when sick; not to be sick.

Distinct7
Distinct (%)0.2%
Missing1383
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean5.78881411
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.883187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.313438579
Coefficient of variation (CV)0.2268925127
Kurtosis0.5190125201
Mean5.78881411
Median Absolute Deviation (MAD)1
Skewness-1.036920009
Sum24944
Variance1.725120901
MonotonicityNot monotonic
2025-02-26T17:44:16.920595image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 1707
30.0%
6 1103
19.4%
5 786
13.8%
4 418
 
7.3%
3 202
 
3.5%
2 76
 
1.3%
1 17
 
0.3%
(Missing) 1383
24.3%
ValueCountFrequency (%)
1 17
 
0.3%
2 76
 
1.3%
3 202
 
3.5%
4 418
7.3%
5 786
13.8%
ValueCountFrequency (%)
7 1707
30.0%
6 1103
19.4%
5 786
13.8%
4 418
 
7.3%
3 202
 
3.5%

w1_B02_10
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PLEASURE. To live for the moment; to satisfy all your desires.

Distinct7
Distinct (%)0.2%
Missing1390
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean5.255695026
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:16.957749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.356371333
Coefficient of variation (CV)0.2580764916
Kurtosis-0.1159676084
Mean5.255695026
Median Absolute Deviation (MAD)1
Skewness-0.6165077146
Sum22610
Variance1.839743193
MonotonicityNot monotonic
2025-02-26T17:44:16.994574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 1180
20.7%
5 1128
19.8%
7 861
15.1%
4 655
11.5%
3 311
 
5.5%
2 143
 
2.5%
1 24
 
0.4%
(Missing) 1390
24.4%
ValueCountFrequency (%)
1 24
 
0.4%
2 143
 
2.5%
3 311
 
5.5%
4 655
11.5%
5 1128
19.8%
ValueCountFrequency (%)
7 861
15.1%
6 1180
20.7%
5 1128
19.8%
4 655
11.5%
3 311
 
5.5%

w1_B02_11
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PRESTIGE. To know that a lot of people know and admire you; when you are older to receive a homage for your contributions.

Distinct7
Distinct (%)0.2%
Missing1384
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean4.388811513
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.030275image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.688523707
Coefficient of variation (CV)0.3847337034
Kurtosis-0.8140678419
Mean4.388811513
Median Absolute Deviation (MAD)1
Skewness-0.2429784837
Sum18907
Variance2.851112309
MonotonicityNot monotonic
2025-02-26T17:44:17.067297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 965
17.0%
4 810
14.2%
6 731
12.8%
3 607
10.7%
7 496
 
8.7%
2 464
 
8.2%
1 235
 
4.1%
(Missing) 1384
24.3%
ValueCountFrequency (%)
1 235
 
4.1%
2 464
8.2%
3 607
10.7%
4 810
14.2%
5 965
17.0%
ValueCountFrequency (%)
7 496
8.7%
6 731
12.8%
5 965
17.0%
4 810
14.2%
3 607
10.7%

w1_B02_12
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: OBEDIENCE. To fulfill your daily duties and obligations; to respect your parents, superiors, or elders.

Distinct7
Distinct (%)0.2%
Missing1394
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean5.03513262
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.102581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.460176106
Coefficient of variation (CV)0.2899975464
Kurtosis-0.2414368242
Mean5.03513262
Median Absolute Deviation (MAD)1
Skewness-0.5639479697
Sum21641
Variance2.13211426
MonotonicityNot monotonic
2025-02-26T17:44:17.139627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 1096
19.3%
5 1059
18.6%
4 765
13.4%
7 727
12.8%
3 386
 
6.8%
2 198
 
3.5%
1 67
 
1.2%
(Missing) 1394
24.5%
ValueCountFrequency (%)
1 67
 
1.2%
2 198
 
3.5%
3 386
 
6.8%
4 765
13.4%
5 1059
18.6%
ValueCountFrequency (%)
7 727
12.8%
6 1096
19.3%
5 1059
18.6%
4 765
13.4%
3 386
 
6.8%

w1_B02_13
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: PERSONAL STABILITY. To have the certainty that tomorrow you will have all that you have today; to have an organized and planned life.

Distinct7
Distinct (%)0.2%
Missing1387
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean5.341695703
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.174970image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.444960286
Coefficient of variation (CV)0.2705059154
Kurtosis0.01209776106
Mean5.341695703
Median Absolute Deviation (MAD)1
Skewness-0.770523593
Sum22996
Variance2.087910228
MonotonicityNot monotonic
2025-02-26T17:44:17.211835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 1169
20.5%
7 1079
19.0%
5 969
17.0%
4 579
10.2%
3 297
 
5.2%
2 165
 
2.9%
1 47
 
0.8%
(Missing) 1387
24.4%
ValueCountFrequency (%)
1 47
 
0.8%
2 165
 
2.9%
3 297
 
5.2%
4 579
10.2%
5 969
17.0%
ValueCountFrequency (%)
7 1079
19.0%
6 1169
20.5%
5 969
17.0%
4 579
10.2%
3 297
 
5.2%

w1_B02_14
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BELONGING. To have good neighborly relationships; to form part of a group (e.g., social, religious, sporting, etc.).

Distinct7
Distinct (%)0.2%
Missing1385
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean4.805200836
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.248617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.528606576
Coefficient of variation (CV)0.3181150233
Kurtosis-0.3813840953
Mean4.805200836
Median Absolute Deviation (MAD)1
Skewness-0.5122744267
Sum20696
Variance2.336638063
MonotonicityNot monotonic
2025-02-26T17:44:17.285288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 1106
19.4%
6 1021
17.9%
4 758
13.3%
7 562
9.9%
3 468
 
8.2%
2 278
 
4.9%
1 114
 
2.0%
(Missing) 1385
24.3%
ValueCountFrequency (%)
1 114
 
2.0%
2 278
 
4.9%
3 468
8.2%
4 758
13.3%
5 1106
19.4%
ValueCountFrequency (%)
7 562
9.9%
6 1021
17.9%
5 1106
19.4%
4 758
13.3%
3 468
8.2%

w1_B02_15
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: BEAUTY. To be able to appreciate the best in art, music, and literature; to go to museums or exhibitions where you can see beautiful things.

Distinct7
Distinct (%)0.2%
Missing1383
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean5.099559062
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.320675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.472298303
Coefficient of variation (CV)0.2887109033
Kurtosis-0.3397272091
Mean5.099559062
Median Absolute Deviation (MAD)1
Skewness-0.5335606879
Sum21974
Variance2.167662294
MonotonicityNot monotonic
2025-02-26T17:44:17.357671image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 1041
18.3%
6 1006
17.7%
7 871
15.3%
4 766
13.5%
3 377
 
6.6%
2 193
 
3.4%
1 55
 
1.0%
(Missing) 1383
24.3%
ValueCountFrequency (%)
1 55
 
1.0%
2 193
 
3.4%
3 377
 
6.6%
4 766
13.5%
5 1041
18.3%
ValueCountFrequency (%)
7 871
15.3%
6 1006
17.7%
5 1041
18.3%
4 766
13.5%
3 377
 
6.6%

w1_B02_16
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: TRADITION. To follow the social norms of your country; to respect the traditions of your society.

Distinct7
Distinct (%)0.2%
Missing1407
Missing (%)24.7%
Infinite0
Infinite (%)0.0%
Mean3.889381564
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.392788image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.667756427
Coefficient of variation (CV)0.4287973292
Kurtosis-0.8453134573
Mean3.889381564
Median Absolute Deviation (MAD)1
Skewness0.002720849311
Sum16666
Variance2.781411499
MonotonicityNot monotonic
2025-02-26T17:44:17.494311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 923
16.2%
5 810
14.2%
3 760
13.4%
2 611
10.7%
6 535
 
9.4%
1 385
 
6.8%
7 261
 
4.6%
(Missing) 1407
24.7%
ValueCountFrequency (%)
1 385
6.8%
2 611
10.7%
3 760
13.4%
4 923
16.2%
5 810
14.2%
ValueCountFrequency (%)
7 261
 
4.6%
6 535
9.4%
5 810
14.2%
4 923
16.2%
3 760
13.4%

w1_B02_17
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: SURVIVAL. To have water, food, and shelter every day in your life; to live in a place with enough food.

Distinct7
Distinct (%)0.2%
Missing1387
Missing (%)24.4%
Infinite0
Infinite (%)0.0%
Mean6.305923345
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.529165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.121157104
Coefficient of variation (CV)0.1777942805
Kurtosis3.427944906
Mean6.305923345
Median Absolute Deviation (MAD)0
Skewness-1.871012001
Sum27147
Variance1.256993252
MonotonicityNot monotonic
2025-02-26T17:44:17.565779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 2690
47.3%
6 825
 
14.5%
5 418
 
7.3%
4 228
 
4.0%
3 91
 
1.6%
2 39
 
0.7%
1 14
 
0.2%
(Missing) 1387
24.4%
ValueCountFrequency (%)
1 14
 
0.2%
2 39
 
0.7%
3 91
 
1.6%
4 228
4.0%
5 418
7.3%
ValueCountFrequency (%)
7 2690
47.3%
6 825
 
14.5%
5 418
 
7.3%
4 228
 
4.0%
3 91
 
1.6%

w1_B02_18
Real number (ℝ)

Missing 

Question: Please read carefully the basic values listed below and their descriptions. Using the following answer scale, indicate by writing a number beside each value how important you consider each one of them as a guiding principle in your life. 1. Completely Unimportant, 2, 3, 4, 5, 6, 7. Utmost Importance. | Answer: MATURITY. To feel that your purpose in life has been fulfilled; to develop all your capacities.

Distinct7
Distinct (%)0.2%
Missing1380
Missing (%)24.2%
Infinite0
Infinite (%)0.0%
Mean6.238404453
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.600952image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.012897599
Coefficient of variation (CV)0.1623648493
Kurtosis3.771783724
Mean6.238404453
Median Absolute Deviation (MAD)0
Skewness-1.705214783
Sum26900
Variance1.025961545
MonotonicityNot monotonic
2025-02-26T17:44:17.636259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 2235
39.3%
6 1271
22.3%
5 550
 
9.7%
4 163
 
2.9%
3 56
 
1.0%
2 22
 
0.4%
1 15
 
0.3%
(Missing) 1380
24.2%
ValueCountFrequency (%)
1 15
 
0.3%
2 22
 
0.4%
3 56
 
1.0%
4 163
 
2.9%
5 550
9.7%
ValueCountFrequency (%)
7 2235
39.3%
6 1271
22.3%
5 550
 
9.7%
4 163
 
2.9%
3 56
 
1.0%

w1_B02JLU_1
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_2
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_3
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_4
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_5
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_6
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_7
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_8
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_9
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_10
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_11
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_12
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_13
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_14
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_15
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_16
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_17
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_B02JLU_18
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_C01_1
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online live synchronous

Distinct20
Distinct (%)0.5%
Missing1865
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean2.109223935
Minimum0
Maximum64
Zeros899
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.676148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile5
Maximum64
Range64
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.399922916
Coefficient of variation (CV)1.137822721
Kurtosis152.4333125
Mean2.109223935
Median Absolute Deviation (MAD)1
Skewness8.234651937
Sum8072
Variance5.759630004
MonotonicityNot monotonic
2025-02-26T17:44:17.717629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 899
15.8%
1 782
13.7%
3 716
 
12.6%
2 675
 
11.9%
4 449
 
7.9%
5 206
 
3.6%
6 58
 
1.0%
7 16
 
0.3%
8 6
 
0.1%
30 4
 
0.1%
Other values (10) 16
 
0.3%
(Missing) 1865
32.8%
ValueCountFrequency (%)
0 899
15.8%
1 782
13.7%
2 675
11.9%
3 716
12.6%
4 449
7.9%
ValueCountFrequency (%)
64 1
 
< 0.1%
31 2
< 0.1%
30 4
0.1%
24 3
0.1%
23 1
 
< 0.1%

w1_C01_2
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Online recorded asynchronous

Distinct10
Distinct (%)0.3%
Missing2364
Missing (%)41.5%
Infinite0
Infinite (%)0.0%
Mean0.63671875
Minimum0
Maximum20
Zeros2002
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.758866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.049395172
Coefficient of variation (CV)1.648129841
Kurtosis39.03454935
Mean0.63671875
Median Absolute Deviation (MAD)0
Skewness3.686058393
Sum2119
Variance1.101230228
MonotonicityNot monotonic
2025-02-26T17:44:17.801855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 2002
35.2%
1 866
 
15.2%
2 260
 
4.6%
3 119
 
2.1%
4 53
 
0.9%
5 22
 
0.4%
6 3
 
0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
20 1
 
< 0.1%
(Missing) 2364
41.5%
ValueCountFrequency (%)
0 2002
35.2%
1 866
15.2%
2 260
 
4.6%
3 119
 
2.1%
4 53
 
0.9%
ValueCountFrequency (%)
20 1
 
< 0.1%
9 1
 
< 0.1%
7 1
 
< 0.1%
6 3
 
0.1%
5 22
0.4%

w1_C01_3
Real number (ℝ)

Missing  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: Partly synchronously and partly asynchronously

Distinct12
Distinct (%)0.3%
Missing2192
Missing (%)38.5%
Infinite0
Infinite (%)0.0%
Mean0.9525714286
Minimum0
Maximum33
Zeros1716
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.843385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum33
Range33
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.396534196
Coefficient of variation (CV)1.466067693
Kurtosis90.85322198
Mean0.9525714286
Median Absolute Deviation (MAD)1
Skewness5.386148957
Sum3334
Variance1.950307761
MonotonicityNot monotonic
2025-02-26T17:44:17.882543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1716
30.1%
1 988
17.4%
2 353
 
6.2%
3 259
 
4.6%
4 128
 
2.2%
5 40
 
0.7%
6 10
 
0.2%
11 2
 
< 0.1%
9 1
 
< 0.1%
20 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 2192
38.5%
ValueCountFrequency (%)
0 1716
30.1%
1 988
17.4%
2 353
 
6.2%
3 259
 
4.6%
4 128
 
2.2%
ValueCountFrequency (%)
33 1
< 0.1%
20 1
< 0.1%
11 2
< 0.1%
9 1
< 0.1%
7 1
< 0.1%

w1_C01_4
Real number (ℝ)

Missing  Skewed  Zeros 

How many of the courses/laboratories/credit seminars you are currently attending are provided ...? | Answer: In presence

Distinct18
Distinct (%)0.5%
Missing1999
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean1.279176821
Minimum0
Maximum99
Zeros1788
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:17.924910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.736889792
Coefficient of variation (CV)2.139571127
Kurtosis743.3940883
Mean1.279176821
Median Absolute Deviation (MAD)1
Skewness22.37139192
Sum4724
Variance7.490565736
MonotonicityNot monotonic
2025-02-26T17:44:17.967792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 1788
31.4%
1 632
 
11.1%
3 487
 
8.6%
2 452
 
7.9%
4 244
 
4.3%
5 70
 
1.2%
6 7
 
0.1%
12 3
 
0.1%
7 1
 
< 0.1%
16 1
 
< 0.1%
Other values (8) 8
 
0.1%
(Missing) 1999
35.1%
ValueCountFrequency (%)
0 1788
31.4%
1 632
 
11.1%
2 452
 
7.9%
3 487
 
8.6%
4 244
 
4.3%
ValueCountFrequency (%)
99 1
< 0.1%
90 1
< 0.1%
30 1
< 0.1%
23 1
< 0.1%
20 1
< 0.1%

w1_C02_1
Real number (ℝ)

Missing 

How often do you attend workshops or other academic activities? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1547
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean1.910735826
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.006996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.147535156
Coefficient of variation (CV)0.6005723765
Kurtosis0.6753768156
Mean1.910735826
Median Absolute Deviation (MAD)1
Skewness1.231223504
Sum7920
Variance1.316836934
MonotonicityNot monotonic
2025-02-26T17:44:18.046581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2044
35.9%
2 1097
19.3%
3 550
 
9.7%
4 238
 
4.2%
5 216
 
3.8%
(Missing) 1547
27.2%
ValueCountFrequency (%)
1 2044
35.9%
2 1097
19.3%
3 550
 
9.7%
4 238
 
4.2%
5 216
 
3.8%
ValueCountFrequency (%)
5 216
 
3.8%
4 238
 
4.2%
3 550
 
9.7%
2 1097
19.3%
1 2044
35.9%

w1_C02_2
Real number (ℝ)

Missing 

How often do you take notes in class? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1508
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean4.540630975
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.085698image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9684347279
Coefficient of variation (CV)0.2132819719
Kurtosis4.459470444
Mean4.540630975
Median Absolute Deviation (MAD)0
Skewness-2.277842629
Sum18998
Variance0.9378658222
MonotonicityNot monotonic
2025-02-26T17:44:18.127244image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3182
55.9%
4 478
 
8.4%
3 254
 
4.5%
2 144
 
2.5%
1 126
 
2.2%
(Missing) 1508
26.5%
ValueCountFrequency (%)
1 126
 
2.2%
2 144
 
2.5%
3 254
 
4.5%
4 478
 
8.4%
5 3182
55.9%
ValueCountFrequency (%)
5 3182
55.9%
4 478
 
8.4%
3 254
 
4.5%
2 144
 
2.5%
1 126
 
2.2%

w1_C02_3
Real number (ℝ)

Missing 

How often do you review and arrange notes at the end of the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1508
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean3.392686424
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.167230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.363242766
Coefficient of variation (CV)0.4018180863
Kurtosis-1.160982934
Mean3.392686424
Median Absolute Deviation (MAD)1
Skewness-0.3040227684
Sum14195
Variance1.85843084
MonotonicityNot monotonic
2025-02-26T17:44:18.208585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1228
21.6%
4 877
15.4%
3 859
15.1%
2 750
13.2%
1 470
 
8.3%
(Missing) 1508
26.5%
ValueCountFrequency (%)
1 470
 
8.3%
2 750
13.2%
3 859
15.1%
4 877
15.4%
5 1228
21.6%
ValueCountFrequency (%)
5 1228
21.6%
4 877
15.4%
3 859
15.1%
2 750
13.2%
1 470
 
8.3%

w1_C02_4
Real number (ℝ)

Missing 

How often do you audio record the lecture? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1513
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean2.058865757
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.248749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.42412361
Coefficient of variation (CV)0.6917029948
Kurtosis-0.4241011029
Mean2.058865757
Median Absolute Deviation (MAD)0
Skewness1.030442484
Sum8604
Variance2.028128057
MonotonicityNot monotonic
2025-02-26T17:44:18.290142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2320
40.8%
2 615
 
10.8%
5 479
 
8.4%
3 401
 
7.0%
4 364
 
6.4%
(Missing) 1513
26.6%
ValueCountFrequency (%)
1 2320
40.8%
2 615
 
10.8%
3 401
 
7.0%
4 364
 
6.4%
5 479
 
8.4%
ValueCountFrequency (%)
5 479
 
8.4%
4 364
 
6.4%
3 401
 
7.0%
2 615
 
10.8%
1 2320
40.8%

w1_C02_5
Real number (ℝ)

Missing 

How often do you study and review notes regularly during the class week? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1510
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean3.170731707
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.329364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.224021856
Coefficient of variation (CV)0.3860376624
Kurtosis-0.9679813954
Mean3.170731707
Median Absolute Deviation (MAD)1
Skewness-0.02991401852
Sum13260
Variance1.498229505
MonotonicityNot monotonic
2025-02-26T17:44:18.370015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1201
21.1%
2 947
16.6%
4 899
15.8%
5 758
13.3%
1 377
 
6.6%
(Missing) 1510
26.5%
ValueCountFrequency (%)
1 377
 
6.6%
2 947
16.6%
3 1201
21.1%
4 899
15.8%
5 758
13.3%
ValueCountFrequency (%)
5 758
13.3%
4 899
15.8%
3 1201
21.1%
2 947
16.6%
1 377
 
6.6%

w1_C02_6
Real number (ℝ)

Missing 

How often do you schematize or summarize books or notes related to a course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1507
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean3.730704898
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.410857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.329499146
Coefficient of variation (CV)0.3563667408
Kurtosis-0.7201713348
Mean3.730704898
Median Absolute Deviation (MAD)1
Skewness-0.7133519848
Sum15613
Variance1.767567978
MonotonicityNot monotonic
2025-02-26T17:44:18.451909image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1671
29.4%
4 956
16.8%
3 693
12.2%
2 490
 
8.6%
1 375
 
6.6%
(Missing) 1507
26.5%
ValueCountFrequency (%)
1 375
 
6.6%
2 490
 
8.6%
3 693
12.2%
4 956
16.8%
5 1671
29.4%
ValueCountFrequency (%)
5 1671
29.4%
4 956
16.8%
3 693
12.2%
2 490
 
8.6%
1 375
 
6.6%

w1_C02_7
Real number (ℝ)

Missing 

How often do you take part in the activities organized by the course? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1522
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean3.473621103
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.493177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.30349994
Coefficient of variation (CV)0.3752568002
Kurtosis-0.8572055106
Mean3.473621103
Median Absolute Deviation (MAD)1
Skewness-0.4948348043
Sum14485
Variance1.699112094
MonotonicityNot monotonic
2025-02-26T17:44:18.533924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1194
21.0%
5 1116
19.6%
3 864
15.2%
2 541
 
9.5%
1 455
 
8.0%
(Missing) 1522
26.7%
ValueCountFrequency (%)
1 455
 
8.0%
2 541
9.5%
3 864
15.2%
4 1194
21.0%
5 1116
19.6%
ValueCountFrequency (%)
5 1116
19.6%
4 1194
21.0%
3 864
15.2%
2 541
9.5%
1 455
 
8.0%

w1_C02_8
Real number (ℝ)

Missing 

How often do you use specialized websites (e.g., statistics, philosophy, physics…)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1520
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean2.814956855
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.574560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.378078424
Coefficient of variation (CV)0.4895557888
Kurtosis-1.224323947
Mean2.814956855
Median Absolute Deviation (MAD)1
Skewness0.1389179214
Sum11744
Variance1.899100142
MonotonicityNot monotonic
2025-02-26T17:44:18.614614image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 976
17.1%
3 896
15.7%
2 870
15.3%
4 810
14.2%
5 620
10.9%
(Missing) 1520
26.7%
ValueCountFrequency (%)
1 976
17.1%
2 870
15.3%
3 896
15.7%
4 810
14.2%
5 620
10.9%
ValueCountFrequency (%)
5 620
10.9%
4 810
14.2%
3 896
15.7%
2 870
15.3%
1 976
17.1%

w1_C02_9
Real number (ℝ)

Missing 

How often do you use question & answer sites (e.g., Quora, Stack Overflow, Answers.com)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1515
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean2.002394063
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.654003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.30041771
Coefficient of variation (CV)0.6494314653
Kurtosis-0.09649115882
Mean2.002394063
Median Absolute Deviation (MAD)0
Skewness1.079981286
Sum8364
Variance1.691086221
MonotonicityNot monotonic
2025-02-26T17:44:18.773822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 2191
38.5%
2 796
 
14.0%
3 503
 
8.8%
4 363
 
6.4%
5 324
 
5.7%
(Missing) 1515
26.6%
ValueCountFrequency (%)
1 2191
38.5%
2 796
 
14.0%
3 503
 
8.8%
4 363
 
6.4%
5 324
 
5.7%
ValueCountFrequency (%)
5 324
 
5.7%
4 363
 
6.4%
3 503
 
8.8%
2 796
 
14.0%
1 2191
38.5%

w1_C02_10
Real number (ℝ)

Missing 

How often do you use university websites/platform tools for learning (e.g., Moodle, etc.)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1509
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean4.449438202
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.815682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9415048675
Coefficient of variation (CV)0.2116008414
Kurtosis3.813109571
Mean4.449438202
Median Absolute Deviation (MAD)0
Skewness-2.008869799
Sum18612
Variance0.8864314155
MonotonicityNot monotonic
2025-02-26T17:44:18.857110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 2750
48.3%
4 910
 
16.0%
3 295
 
5.2%
1 119
 
2.1%
2 109
 
1.9%
(Missing) 1509
26.5%
ValueCountFrequency (%)
1 119
 
2.1%
2 109
 
1.9%
3 295
 
5.2%
4 910
 
16.0%
5 2750
48.3%
ValueCountFrequency (%)
5 2750
48.3%
4 910
 
16.0%
3 295
 
5.2%
2 109
 
1.9%
1 119
 
2.1%

w1_C02_11
Real number (ℝ)

Missing 

How often do you use commercial education platforms (e.g., Coursera, Udemy, Datacamp)? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1511
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean1.466156422
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.897438image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9403833502
Coefficient of variation (CV)0.6413936031
Kurtosis4.116564311
Mean1.466156422
Median Absolute Deviation (MAD)0
Skewness2.17880242
Sum6130
Variance0.8843208454
MonotonicityNot monotonic
2025-02-26T17:44:18.939337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 3117
54.8%
2 524
 
9.2%
3 293
 
5.1%
4 149
 
2.6%
5 98
 
1.7%
(Missing) 1511
26.5%
ValueCountFrequency (%)
1 3117
54.8%
2 524
 
9.2%
3 293
 
5.1%
4 149
 
2.6%
5 98
 
1.7%
ValueCountFrequency (%)
5 98
 
1.7%
4 149
 
2.6%
3 293
 
5.1%
2 524
 
9.2%
1 3117
54.8%

w1_C02_12
Unsupported

Missing  Rejected  Unsupported 

How often do you use virtual labs and Amrita University Management Systems? (1 “never” – 6 “very often”)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_D01
Real number (ℝ)

Missing  Skewed  Zeros 

About how many university students can you contact for help in studying?

Distinct36
Distinct (%)0.9%
Missing1602
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean4.835696822
Minimum0
Maximum1010
Zeros197
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:18.986735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile10
Maximum1010
Range1010
Interquartile range (IQR)3

Descriptive statistics

Standard deviation17.38773928
Coefficient of variation (CV)3.595705008
Kurtosis2748.997477
Mean4.835696822
Median Absolute Deviation (MAD)1
Skewness48.74471343
Sum19778
Variance302.3334772
MonotonicityNot monotonic
2025-02-26T17:44:19.034012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3 871
15.3%
5 752
13.2%
2 719
12.6%
4 491
 
8.6%
10 287
 
5.0%
1 274
 
4.8%
0 197
 
3.5%
6 187
 
3.3%
7 91
 
1.6%
8 76
 
1.3%
Other values (26) 145
 
2.5%
(Missing) 1602
28.1%
ValueCountFrequency (%)
0 197
 
3.5%
1 274
 
4.8%
2 719
12.6%
3 871
15.3%
4 491
8.6%
ValueCountFrequency (%)
1010 1
< 0.1%
250 1
< 0.1%
200 1
< 0.1%
155 1
< 0.1%
150 1
< 0.1%

w1_D02
Real number (ℝ)

Missing 

Are you in an informal study group(s) (beside the one you are in for the lab/class project)? 1) Yes 2) No [go to E01]

Distinct2
Distinct (%)< 0.1%
Missing1457
Missing (%)25.6%
Infinite0
Infinite (%)0.0%
Mean1.836127509
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.073538image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3702035376
Coefficient of variation (CV)0.2016219112
Kurtosis1.301247533
Mean1.836127509
Median Absolute Deviation (MAD)0
Skewness-1.816764496
Sum7776
Variance0.1370506592
MonotonicityNot monotonic
2025-02-26T17:44:19.112666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 3541
62.2%
1 694
 
12.2%
(Missing) 1457
25.6%
ValueCountFrequency (%)
1 694
 
12.2%
2 3541
62.2%
ValueCountFrequency (%)
2 3541
62.2%
1 694
 
12.2%

w1_D03
Real number (ℝ)

Missing 

How many informal study groups do you participate in?

Distinct7
Distinct (%)1.0%
Missing5008
Missing (%)88.0%
Infinite0
Infinite (%)0.0%
Mean1.442982456
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.150197image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum12
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7736285895
Coefficient of variation (CV)0.5361316669
Kurtosis52.49885217
Mean1.442982456
Median Absolute Deviation (MAD)0
Skewness4.834189505
Sum987
Variance0.5985011944
MonotonicityNot monotonic
2025-02-26T17:44:19.188089image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 442
 
7.8%
2 200
 
3.5%
3 34
 
0.6%
4 5
 
0.1%
6 1
 
< 0.1%
12 1
 
< 0.1%
5 1
 
< 0.1%
(Missing) 5008
88.0%
ValueCountFrequency (%)
1 442
7.8%
2 200
3.5%
3 34
 
0.6%
4 5
 
0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
6 1
 
< 0.1%
5 1
 
< 0.1%
4 5
 
0.1%
3 34
0.6%

w1_D04
Real number (ℝ)

Missing 

About how many people are in the informal study group? If you have more than one, think about the one you meet most often

Distinct20
Distinct (%)3.0%
Missing5023
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean5.113602392
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.227269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile10
Maximum65
Range64
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.005889678
Coefficient of variation (CV)0.9789360404
Kurtosis60.55848995
Mean5.113602392
Median Absolute Deviation (MAD)1
Skewness6.611511293
Sum3421
Variance25.05893146
MonotonicityNot monotonic
2025-02-26T17:44:19.268127image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3 174
 
3.1%
4 153
 
2.7%
5 133
 
2.3%
2 58
 
1.0%
6 57
 
1.0%
10 26
 
0.5%
7 15
 
0.3%
8 13
 
0.2%
15 11
 
0.2%
1 9
 
0.2%
Other values (10) 20
 
0.4%
(Missing) 5023
88.2%
ValueCountFrequency (%)
1 9
 
0.2%
2 58
 
1.0%
3 174
3.1%
4 153
2.7%
5 133
2.3%
ValueCountFrequency (%)
65 1
 
< 0.1%
60 1
 
< 0.1%
40 1
 
< 0.1%
34 1
 
< 0.1%
30 5
0.1%

w1_D05
Real number (ℝ)

Missing 

How often do you meet? If you meet more than one, think about the one you meet most often.1. Less than once a week2. Once a week3. Twice a week 4. Three days a week 5. Four days a week6. Five or more days a week

Distinct6
Distinct (%)0.9%
Missing5006
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean2.760932945
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.307761image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.567364706
Coefficient of variation (CV)0.5676938692
Kurtosis-0.5599804435
Mean2.760932945
Median Absolute Deviation (MAD)1
Skewness0.6944376177
Sum1894
Variance2.456632121
MonotonicityNot monotonic
2025-02-26T17:44:19.346818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 188
 
3.3%
1 172
 
3.0%
3 135
 
2.4%
4 76
 
1.3%
6 62
 
1.1%
5 53
 
0.9%
(Missing) 5006
87.9%
ValueCountFrequency (%)
1 172
3.0%
2 188
3.3%
3 135
2.4%
4 76
1.3%
5 53
 
0.9%
ValueCountFrequency (%)
6 62
 
1.1%
5 53
 
0.9%
4 76
1.3%
3 135
2.4%
2 188
3.3%

w1_E01_1
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Twitter - Weibo

Distinct6
Distinct (%)0.1%
Missing1539
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean2.098723814
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.383799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.851516279
Coefficient of variation (CV)0.8822105448
Kurtosis0.04548175361
Mean2.098723814
Median Absolute Deviation (MAD)0
Skewness1.329811411
Sum8716
Variance3.428112533
MonotonicityNot monotonic
2025-02-26T17:44:19.422965image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2869
50.4%
6 557
 
9.8%
2 215
 
3.8%
5 182
 
3.2%
4 175
 
3.1%
3 155
 
2.7%
(Missing) 1539
27.0%
ValueCountFrequency (%)
1 2869
50.4%
2 215
 
3.8%
3 155
 
2.7%
4 175
 
3.1%
5 182
 
3.2%
ValueCountFrequency (%)
6 557
9.8%
5 182
 
3.2%
4 175
 
3.1%
3 155
 
2.7%
2 215
 
3.8%

w1_E01_2
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook

Distinct6
Distinct (%)0.1%
Missing1542
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean3.102409639
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.459495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.801386407
Coefficient of variation (CV)0.5806410554
Kurtosis-1.204543343
Mean3.102409639
Median Absolute Deviation (MAD)2
Skewness0.4298532603
Sum12875
Variance3.244992987
MonotonicityNot monotonic
2025-02-26T17:44:19.497988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 990
17.4%
2 975
17.1%
6 750
13.2%
3 651
11.4%
4 438
 
7.7%
5 346
 
6.1%
(Missing) 1542
27.1%
ValueCountFrequency (%)
1 990
17.4%
2 975
17.1%
3 651
11.4%
4 438
7.7%
5 346
 
6.1%
ValueCountFrequency (%)
6 750
13.2%
5 346
 
6.1%
4 438
7.7%
3 651
11.4%
2 975
17.1%

w1_E01_3
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : LinkedIn

Distinct6
Distinct (%)0.1%
Missing1545
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean2.206896552
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.534303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.91261602
Coefficient of variation (CV)0.8666541339
Kurtosis-0.4641757814
Mean2.206896552
Median Absolute Deviation (MAD)0
Skewness1.135889158
Sum9152
Variance3.658100038
MonotonicityNot monotonic
2025-02-26T17:44:19.572880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2827
49.7%
6 552
 
9.7%
5 297
 
5.2%
4 213
 
3.7%
3 160
 
2.8%
2 98
 
1.7%
(Missing) 1545
27.1%
ValueCountFrequency (%)
1 2827
49.7%
2 98
 
1.7%
3 160
 
2.8%
4 213
 
3.7%
5 297
 
5.2%
ValueCountFrequency (%)
6 552
9.7%
5 297
5.2%
4 213
 
3.7%
3 160
 
2.8%
2 98
 
1.7%

w1_E01_4
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : YouTube

Distinct6
Distinct (%)0.1%
Missing1541
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean2.990363768
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.675854image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.266016859
Coefficient of variation (CV)0.4233655024
Kurtosis-0.3889936126
Mean2.990363768
Median Absolute Deviation (MAD)1
Skewness0.6011992331
Sum12413
Variance1.602798687
MonotonicityNot monotonic
2025-02-26T17:44:19.714383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1563
27.5%
3 953
16.7%
4 782
13.7%
5 388
 
6.8%
1 286
 
5.0%
6 179
 
3.1%
(Missing) 1541
27.1%
ValueCountFrequency (%)
1 286
 
5.0%
2 1563
27.5%
3 953
16.7%
4 782
13.7%
5 388
 
6.8%
ValueCountFrequency (%)
6 179
 
3.1%
5 388
 
6.8%
4 782
13.7%
3 953
16.7%
2 1563
27.5%

w1_E01_5
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Instagram

Distinct6
Distinct (%)0.1%
Missing1536
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean2.159047161
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.751630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9064377091
Coefficient of variation (CV)0.4198322879
Kurtosis7.849501227
Mean2.159047161
Median Absolute Deviation (MAD)0
Skewness2.500307942
Sum8973
Variance0.8216293205
MonotonicityNot monotonic
2025-02-26T17:44:19.790267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 3076
54.0%
1 484
 
8.5%
3 331
 
5.8%
6 112
 
2.0%
4 93
 
1.6%
5 60
 
1.1%
(Missing) 1536
27.0%
ValueCountFrequency (%)
1 484
 
8.5%
2 3076
54.0%
3 331
 
5.8%
4 93
 
1.6%
5 60
 
1.1%
ValueCountFrequency (%)
6 112
 
2.0%
5 60
 
1.1%
4 93
 
1.6%
3 331
 
5.8%
2 3076
54.0%

w1_E01_6
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Telegram

Distinct6
Distinct (%)0.1%
Missing1536
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean2.874639076
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.828892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.726252799
Coefficient of variation (CV)0.6005111436
Kurtosis-0.9989481309
Mean2.874639076
Median Absolute Deviation (MAD)1
Skewness0.5629999912
Sum11947
Variance2.979948727
MonotonicityNot monotonic
2025-02-26T17:44:19.867424image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1167
20.5%
2 1032
18.1%
3 533
 
9.4%
4 533
 
9.4%
6 530
 
9.3%
5 361
 
6.3%
(Missing) 1536
27.0%
ValueCountFrequency (%)
1 1167
20.5%
2 1032
18.1%
3 533
9.4%
4 533
9.4%
5 361
 
6.3%
ValueCountFrequency (%)
6 530
9.3%
5 361
 
6.3%
4 533
9.4%
3 533
9.4%
2 1032
18.1%

w1_E01_7
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Pinterest

Distinct6
Distinct (%)0.1%
Missing1545
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean2.472389679
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.904272image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.010200028
Coefficient of variation (CV)0.8130595452
Kurtosis-1.111648084
Mean2.472389679
Median Absolute Deviation (MAD)0
Skewness0.807002604
Sum10253
Variance4.040904153
MonotonicityNot monotonic
2025-02-26T17:44:19.942755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2552
44.8%
6 632
 
11.1%
5 395
 
6.9%
4 331
 
5.8%
3 136
 
2.4%
2 101
 
1.8%
(Missing) 1545
27.1%
ValueCountFrequency (%)
1 2552
44.8%
2 101
 
1.8%
3 136
 
2.4%
4 331
 
5.8%
5 395
 
6.9%
ValueCountFrequency (%)
6 632
11.1%
5 395
6.9%
4 331
5.8%
3 136
 
2.4%
2 101
 
1.8%

w1_E01_8
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Reddit

Distinct6
Distinct (%)0.1%
Missing1543
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean1.69824054
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:19.979109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.563983888
Coefficient of variation (CV)0.9209436774
Kurtosis2.521156655
Mean1.69824054
Median Absolute Deviation (MAD)0
Skewness2.040569061
Sum7046
Variance2.446045602
MonotonicityNot monotonic
2025-02-26T17:44:20.018213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3333
58.6%
6 345
 
6.1%
2 137
 
2.4%
4 131
 
2.3%
5 118
 
2.1%
3 85
 
1.5%
(Missing) 1543
27.1%
ValueCountFrequency (%)
1 3333
58.6%
2 137
 
2.4%
3 85
 
1.5%
4 131
 
2.3%
5 118
 
2.1%
ValueCountFrequency (%)
6 345
6.1%
5 118
 
2.1%
4 131
 
2.3%
3 85
 
1.5%
2 137
 
2.4%

w1_E01_9
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Flickr

Distinct6
Distinct (%)0.1%
Missing1550
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean1.429019797
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.054960image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.38458689
Coefficient of variation (CV)0.9689067236
Kurtosis6.761538145
Mean1.429019797
Median Absolute Deviation (MAD)0
Skewness2.950045961
Sum5919
Variance1.917080855
MonotonicityNot monotonic
2025-02-26T17:44:20.094848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3771
66.3%
6 331
 
5.8%
5 21
 
0.4%
2 7
 
0.1%
4 7
 
0.1%
3 5
 
0.1%
(Missing) 1550
27.2%
ValueCountFrequency (%)
1 3771
66.3%
2 7
 
0.1%
3 5
 
0.1%
4 7
 
0.1%
5 21
 
0.4%
ValueCountFrequency (%)
6 331
5.8%
5 21
 
0.4%
4 7
 
0.1%
3 5
 
0.1%
2 7
 
0.1%

w1_E01_10
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Facebook messenger

Distinct6
Distinct (%)0.1%
Missing1543
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean3.506387081
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.132053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.183874051
Coefficient of variation (CV)0.6228274289
Kurtosis-1.768435569
Mean3.506387081
Median Absolute Deviation (MAD)2
Skewness-0.08441864561
Sum14548
Variance4.769305868
MonotonicityNot monotonic
2025-02-26T17:44:20.170633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1595
28.0%
6 1281
22.5%
5 612
 
10.8%
4 357
 
6.3%
3 171
 
3.0%
2 133
 
2.3%
(Missing) 1543
27.1%
ValueCountFrequency (%)
1 1595
28.0%
2 133
 
2.3%
3 171
 
3.0%
4 357
 
6.3%
5 612
 
10.8%
ValueCountFrequency (%)
6 1281
22.5%
5 612
10.8%
4 357
 
6.3%
3 171
 
3.0%
2 133
 
2.3%

w1_E01_11
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WhatsApp

Distinct6
Distinct (%)0.1%
Missing1543
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean2.104844541
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.208246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5795853239
Coefficient of variation (CV)0.2753577819
Kurtosis27.83963232
Mean2.104844541
Median Absolute Deviation (MAD)0
Skewness4.925602604
Sum8733
Variance0.3359191477
MonotonicityNot monotonic
2025-02-26T17:44:20.245564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 3834
67.4%
3 117
 
2.1%
1 68
 
1.2%
4 56
 
1.0%
6 52
 
0.9%
5 22
 
0.4%
(Missing) 1543
27.1%
ValueCountFrequency (%)
1 68
 
1.2%
2 3834
67.4%
3 117
 
2.1%
4 56
 
1.0%
5 22
 
0.4%
ValueCountFrequency (%)
6 52
 
0.9%
5 22
 
0.4%
4 56
 
1.0%
3 117
 
2.1%
2 3834
67.4%

w1_E01_12
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Google hangouts

Distinct6
Distinct (%)0.1%
Missing1549
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.693941588
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.282269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.267584749
Coefficient of variation (CV)0.8417349354
Kurtosis-1.494645548
Mean2.693941588
Median Absolute Deviation (MAD)0
Skewness0.6589806294
Sum11161
Variance5.141940592
MonotonicityNot monotonic
2025-02-26T17:44:20.320764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2579
45.3%
6 1147
20.2%
5 225
 
4.0%
2 74
 
1.3%
4 73
 
1.3%
3 45
 
0.8%
(Missing) 1549
27.2%
ValueCountFrequency (%)
1 2579
45.3%
2 74
 
1.3%
3 45
 
0.8%
4 73
 
1.3%
5 225
 
4.0%
ValueCountFrequency (%)
6 1147
20.2%
5 225
 
4.0%
4 73
 
1.3%
3 45
 
0.8%
2 74
 
1.3%

w1_E01_13
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Skype

Distinct6
Distinct (%)0.1%
Missing1545
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean4.041234627
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.357915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.180359468
Coefficient of variation (CV)0.5395280574
Kurtosis-1.520287386
Mean4.041234627
Median Absolute Deviation (MAD)1
Skewness-0.5437785045
Sum16759
Variance4.753967409
MonotonicityNot monotonic
2025-02-26T17:44:20.396840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 1743
30.6%
1 1303
22.9%
5 760
13.4%
4 221
 
3.9%
3 74
 
1.3%
2 46
 
0.8%
(Missing) 1545
27.1%
ValueCountFrequency (%)
1 1303
22.9%
2 46
 
0.8%
3 74
 
1.3%
4 221
 
3.9%
5 760
13.4%
ValueCountFrequency (%)
6 1743
30.6%
5 760
13.4%
4 221
 
3.9%
3 74
 
1.3%
2 46
 
0.8%

w1_E01_14
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Zoom

Distinct6
Distinct (%)0.1%
Missing1543
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean3.198361051
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.433845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.285419013
Coefficient of variation (CV)0.4018992829
Kurtosis-0.5537575085
Mean3.198361051
Median Absolute Deviation (MAD)1
Skewness0.596212844
Sum13270
Variance1.652302038
MonotonicityNot monotonic
2025-02-26T17:44:20.473596image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 1510
26.5%
3 947
16.6%
4 887
15.6%
5 414
 
7.3%
6 280
 
4.9%
1 111
 
2.0%
(Missing) 1543
27.1%
ValueCountFrequency (%)
1 111
 
2.0%
2 1510
26.5%
3 947
16.6%
4 887
15.6%
5 414
 
7.3%
ValueCountFrequency (%)
6 280
 
4.9%
5 414
 
7.3%
4 887
15.6%
3 947
16.6%
2 1510
26.5%

w1_E01_15
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Snapchat

Distinct6
Distinct (%)0.1%
Missing1545
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean2.279479142
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.510614image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.057605266
Coefficient of variation (CV)0.9026646606
Kurtosis-0.6484401485
Mean2.279479142
Median Absolute Deviation (MAD)0
Skewness1.108128031
Sum9453
Variance4.23373943
MonotonicityNot monotonic
2025-02-26T17:44:20.549618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2864
50.3%
6 822
 
14.4%
5 159
 
2.8%
2 130
 
2.3%
4 86
 
1.5%
3 86
 
1.5%
(Missing) 1545
27.1%
ValueCountFrequency (%)
1 2864
50.3%
2 130
 
2.3%
3 86
 
1.5%
4 86
 
1.5%
5 159
 
2.8%
ValueCountFrequency (%)
6 822
14.4%
5 159
 
2.8%
4 86
 
1.5%
3 86
 
1.5%
2 130
 
2.3%

w1_E01_16
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Tinder

Distinct6
Distinct (%)0.1%
Missing1540
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean1.524807322
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.586136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.460756615
Coefficient of variation (CV)0.9579942292
Kurtosis4.779576616
Mean1.524807322
Median Absolute Deviation (MAD)0
Skewness2.560982892
Sum6331
Variance2.133809888
MonotonicityNot monotonic
2025-02-26T17:44:20.625728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3633
63.8%
6 343
 
6.0%
4 52
 
0.9%
5 47
 
0.8%
3 43
 
0.8%
2 34
 
0.6%
(Missing) 1540
27.1%
ValueCountFrequency (%)
1 3633
63.8%
2 34
 
0.6%
3 43
 
0.8%
4 52
 
0.9%
5 47
 
0.8%
ValueCountFrequency (%)
6 343
6.0%
5 47
 
0.8%
4 52
 
0.9%
3 43
 
0.8%
2 34
 
0.6%

w1_E01_17
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : WeChat

Distinct6
Distinct (%)0.1%
Missing1536
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean1.410731473
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.662744image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.35599408
Coefficient of variation (CV)0.9611992833
Kurtosis7.291647622
Mean1.410731473
Median Absolute Deviation (MAD)0
Skewness3.036627388
Sum5863
Variance1.838719946
MonotonicityNot monotonic
2025-02-26T17:44:20.701704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3798
66.7%
6 318
 
5.6%
5 16
 
0.3%
4 12
 
0.2%
2 7
 
0.1%
3 5
 
0.1%
(Missing) 1536
27.0%
ValueCountFrequency (%)
1 3798
66.7%
2 7
 
0.1%
3 5
 
0.1%
4 12
 
0.2%
5 16
 
0.3%
ValueCountFrequency (%)
6 318
5.6%
5 16
 
0.3%
4 12
 
0.2%
3 5
 
0.1%
2 7
 
0.1%

w1_E01_18
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : Viber

Distinct6
Distinct (%)0.1%
Missing1537
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean1.402406739
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.739542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.342714783
Coefficient of variation (CV)0.9574360602
Kurtosis7.557862974
Mean1.402406739
Median Absolute Deviation (MAD)0
Skewness3.078918202
Sum5827
Variance1.802882988
MonotonicityNot monotonic
2025-02-26T17:44:20.778879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3804
66.8%
6 312
 
5.5%
5 14
 
0.2%
3 11
 
0.2%
4 10
 
0.2%
2 4
 
0.1%
(Missing) 1537
27.0%
ValueCountFrequency (%)
1 3804
66.8%
2 4
 
0.1%
3 11
 
0.2%
4 10
 
0.2%
5 14
 
0.2%
ValueCountFrequency (%)
6 312
5.5%
5 14
 
0.2%
4 10
 
0.2%
3 11
 
0.2%
2 4
 
0.1%

w1_E01_19
Real number (ℝ)

Missing 

How often do use the following social networking channels? (99) No account (1) Several times a day (2) about once a day (3) a few times a week (4) every few weeks (6) Rarely/Never. : TikTok

Distinct6
Distinct (%)0.1%
Missing1536
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean1.724494706
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.817575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.514593784
Coefficient of variation (CV)0.8782826517
Kurtosis2.642288858
Mean1.724494706
Median Absolute Deviation (MAD)0
Skewness2.024043579
Sum7167
Variance2.293994329
MonotonicityNot monotonic
2025-02-26T17:44:20.856643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3145
55.3%
6 320
 
5.6%
2 302
 
5.3%
3 158
 
2.8%
4 131
 
2.3%
5 100
 
1.8%
(Missing) 1536
27.0%
ValueCountFrequency (%)
1 3145
55.3%
2 302
 
5.3%
3 158
 
2.8%
4 131
 
2.3%
5 100
 
1.8%
ValueCountFrequency (%)
6 320
5.6%
5 100
 
1.8%
4 131
2.3%
3 158
2.8%
2 302
5.3%

w1_E01JLU_1
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Weibo(微博)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_2
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: LinkedIn

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_3
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Bilibili

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_4
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Acfun

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_5
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: lvzhou(绿洲)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_6
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Telegram

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_7
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Pinterest

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_8
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huaban(花瓣)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_9
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Xiaohongshu(小红书)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_10
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Reddit

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_11
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tieba(贴吧)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_12
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Douban(豆瓣小组)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_13
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Skype

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_14
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Zoom

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_15
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tencent Meeting(腾讯会议)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_16
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: DingDing(钉钉)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_17
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tinder

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_18
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Tantan(探探)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_19
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Momo(陌陌)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_20
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: WeChat(微信)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_21
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: QQ

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_22
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: TikTok(抖音)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_23
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Kuaishou(快手)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E01JLU_24
Unsupported

Missing  Rejected  Unsupported 

How often do use the following social networking channels? | Answer: Huoshan (火山小视频)

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_E02_1
Real number (ℝ)

Missing 

Do you use social networking sites to solve an academic problem? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1534
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean3.211640212
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.894106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.177096461
Coefficient of variation (CV)0.3665094416
Kurtosis-1.033349496
Mean3.211640212
Median Absolute Deviation (MAD)1
Skewness0.1262586208
Sum13354
Variance1.385556077
MonotonicityNot monotonic
2025-02-26T17:44:20.935637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1218
21.4%
2 1141
20.0%
5 807
14.2%
4 797
14.0%
1 195
 
3.4%
(Missing) 1534
27.0%
ValueCountFrequency (%)
1 195
 
3.4%
2 1141
20.0%
3 1218
21.4%
4 797
14.0%
5 807
14.2%
ValueCountFrequency (%)
5 807
14.2%
4 797
14.0%
3 1218
21.4%
2 1141
20.0%
1 195
 
3.4%

w1_E02_2
Real number (ℝ)

Missing 

Do you use social networking sites to do research work? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1541
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean3.353167911
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:20.976227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.271395765
Coefficient of variation (CV)0.3791625706
Kurtosis-1.168247204
Mean3.353167911
Median Absolute Deviation (MAD)1
Skewness-0.1398603252
Sum13919
Variance1.616447191
MonotonicityNot monotonic
2025-02-26T17:44:21.017064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1054
18.5%
2 980
17.2%
3 933
16.4%
4 902
15.8%
1 282
 
5.0%
(Missing) 1541
27.1%
ValueCountFrequency (%)
1 282
 
5.0%
2 980
17.2%
3 933
16.4%
4 902
15.8%
5 1054
18.5%
ValueCountFrequency (%)
5 1054
18.5%
4 902
15.8%
3 933
16.4%
2 980
17.2%
1 282
 
5.0%

w1_E02_3
Real number (ℝ)

Missing 

Do you use social networking sites for online academic group discussion? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1540
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean3.035404624
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.056800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.327742229
Coefficient of variation (CV)0.4374185301
Kurtosis-1.17570025
Mean3.035404624
Median Absolute Deviation (MAD)1
Skewness0.1741821832
Sum12603
Variance1.762899427
MonotonicityNot monotonic
2025-02-26T17:44:21.098100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1225
21.5%
3 954
16.8%
5 881
15.5%
4 598
 
10.5%
1 494
 
8.7%
(Missing) 1540
27.1%
ValueCountFrequency (%)
1 494
8.7%
2 1225
21.5%
3 954
16.8%
4 598
10.5%
5 881
15.5%
ValueCountFrequency (%)
5 881
15.5%
4 598
10.5%
3 954
16.8%
2 1225
21.5%
1 494
8.7%

w1_E02_4
Real number (ℝ)

Missing 

Do you use social networking sites to prepare for an examination? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1561
Missing (%)27.4%
Infinite0
Infinite (%)0.0%
Mean3.630113774
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.138124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.224924156
Coefficient of variation (CV)0.337434095
Kurtosis-1.02730678
Mean3.630113774
Median Absolute Deviation (MAD)1
Skewness-0.378623347
Sum14996
Variance1.500439188
MonotonicityNot monotonic
2025-02-26T17:44:21.179367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1384
24.3%
3 962
16.9%
4 896
15.7%
2 717
12.6%
1 172
 
3.0%
(Missing) 1561
27.4%
ValueCountFrequency (%)
1 172
 
3.0%
2 717
12.6%
3 962
16.9%
4 896
15.7%
5 1384
24.3%
ValueCountFrequency (%)
5 1384
24.3%
4 896
15.7%
3 962
16.9%
2 717
12.6%
1 172
 
3.0%

w1_E02_5
Real number (ℝ)

Missing 

Do you use social networking sites for collaborative learning? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1548
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.325289575
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.220646image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.208377473
Coefficient of variation (CV)0.5196675226
Kurtosis-0.1937993313
Mean2.325289575
Median Absolute Deviation (MAD)1
Skewness0.809660611
Sum9636
Variance1.460176117
MonotonicityNot monotonic
2025-02-26T17:44:21.261951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1523
26.8%
1 1161
20.4%
3 771
13.5%
5 360
 
6.3%
4 329
 
5.8%
(Missing) 1548
27.2%
ValueCountFrequency (%)
1 1161
20.4%
2 1523
26.8%
3 771
13.5%
4 329
 
5.8%
5 360
 
6.3%
ValueCountFrequency (%)
5 360
 
6.3%
4 329
 
5.8%
3 771
13.5%
2 1523
26.8%
1 1161
20.4%

w1_E02_6
Real number (ℝ)

Missing 

Do you use social networking sites to keep you up to date with the activities of your university? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1558
Missing (%)27.4%
Infinite0
Infinite (%)0.0%
Mean3.199080793
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.303650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.314288624
Coefficient of variation (CV)0.4108332076
Kurtosis-1.210669618
Mean3.199080793
Median Absolute Deviation (MAD)1
Skewness0.01797487537
Sum13225
Variance1.727354587
MonotonicityNot monotonic
2025-02-26T17:44:21.344190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1081
19.0%
5 995
17.5%
3 980
17.2%
4 690
12.1%
1 388
 
6.8%
(Missing) 1558
27.4%
ValueCountFrequency (%)
1 388
 
6.8%
2 1081
19.0%
3 980
17.2%
4 690
12.1%
5 995
17.5%
ValueCountFrequency (%)
5 995
17.5%
4 690
12.1%
3 980
17.2%
2 1081
19.0%
1 388
 
6.8%

w1_E02_7
Real number (ℝ)

Missing 

Do you use social networking sites to seek help from your teachers? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1545
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean2.559922836
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.383965image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.192905865
Coefficient of variation (CV)0.4659928997
Kurtosis-0.489344189
Mean2.559922836
Median Absolute Deviation (MAD)1
Skewness0.5816441702
Sum10616
Variance1.423024403
MonotonicityNot monotonic
2025-02-26T17:44:21.425428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1531
26.9%
3 987
17.3%
1 776
13.6%
4 448
 
7.9%
5 405
 
7.1%
(Missing) 1545
27.1%
ValueCountFrequency (%)
1 776
13.6%
2 1531
26.9%
3 987
17.3%
4 448
 
7.9%
5 405
 
7.1%
ValueCountFrequency (%)
5 405
 
7.1%
4 448
 
7.9%
3 987
17.3%
2 1531
26.9%
1 776
13.6%

w1_E02_8
Real number (ℝ)

Missing 

Do you use social networking sites to become sociable? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1548
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean4.087355212
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.465517image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.101463426
Coefficient of variation (CV)0.2694807201
Kurtosis0.2530054834
Mean4.087355212
Median Absolute Deviation (MAD)1
Skewness-1.064388091
Sum16938
Variance1.213221678
MonotonicityNot monotonic
2025-02-26T17:44:21.505733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 2016
35.4%
4 1040
18.3%
3 650
 
11.4%
2 310
 
5.4%
1 128
 
2.2%
(Missing) 1548
27.2%
ValueCountFrequency (%)
1 128
 
2.2%
2 310
 
5.4%
3 650
 
11.4%
4 1040
18.3%
5 2016
35.4%
ValueCountFrequency (%)
5 2016
35.4%
4 1040
18.3%
3 650
 
11.4%
2 310
 
5.4%
1 128
 
2.2%

w1_E02_9
Real number (ℝ)

Missing 

Do you use social networking sites to create your social identity? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1554
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean2.528274529
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.544855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.276324631
Coefficient of variation (CV)0.5048204285
Kurtosis-0.7589461049
Mean2.528274529
Median Absolute Deviation (MAD)1
Skewness0.5280199693
Sum10462
Variance1.629004564
MonotonicityNot monotonic
2025-02-26T17:44:21.586329image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1298
22.8%
1 1022
18.0%
3 870
15.3%
4 506
 
8.9%
5 442
 
7.8%
(Missing) 1554
27.3%
ValueCountFrequency (%)
1 1022
18.0%
2 1298
22.8%
3 870
15.3%
4 506
 
8.9%
5 442
 
7.8%
ValueCountFrequency (%)
5 442
 
7.8%
4 506
 
8.9%
3 870
15.3%
2 1298
22.8%
1 1022
18.0%

w1_E02_10
Real number (ℝ)

Missing 

Do you use social networking sites to attend social gatherings? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1552
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean3.35531401
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.626408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.297714188
Coefficient of variation (CV)0.3867638571
Kurtosis-1.076087133
Mean3.35531401
Median Absolute Deviation (MAD)1
Skewness-0.2423017687
Sum13891
Variance1.684062114
MonotonicityNot monotonic
2025-02-26T17:44:21.666597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1051
18.5%
3 976
17.1%
4 937
16.5%
2 784
13.8%
1 392
 
6.9%
(Missing) 1552
27.3%
ValueCountFrequency (%)
1 392
 
6.9%
2 784
13.8%
3 976
17.1%
4 937
16.5%
5 1051
18.5%
ValueCountFrequency (%)
5 1051
18.5%
4 937
16.5%
3 976
17.1%
2 784
13.8%
1 392
 
6.9%

w1_E02_11
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my friends? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1571
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean3.253821888
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.706999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.237804812
Coefficient of variation (CV)0.3804156635
Kurtosis-1.016211645
Mean3.253821888
Median Absolute Deviation (MAD)1
Skewness-0.09220952382
Sum13409
Variance1.532160754
MonotonicityNot monotonic
2025-02-26T17:44:21.746944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1125
19.8%
4 906
15.9%
2 896
15.7%
5 856
15.0%
1 338
 
5.9%
(Missing) 1571
27.6%
ValueCountFrequency (%)
1 338
 
5.9%
2 896
15.7%
3 1125
19.8%
4 906
15.9%
5 856
15.0%
ValueCountFrequency (%)
5 856
15.0%
4 906
15.9%
3 1125
19.8%
2 896
15.7%
1 338
 
5.9%

w1_E02_12
Real number (ℝ)

Missing 

Do you use social networking sites to keep in touch with my relatives? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1552
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean1.754347826
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.787309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9149864627
Coefficient of variation (CV)0.5215536219
Kurtosis2.020640932
Mean1.754347826
Median Absolute Deviation (MAD)1
Skewness1.397910038
Sum7263
Variance0.8372002269
MonotonicityNot monotonic
2025-02-26T17:44:21.896888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1981
34.8%
2 1493
26.2%
3 455
 
8.0%
4 124
 
2.2%
5 87
 
1.5%
(Missing) 1552
27.3%
ValueCountFrequency (%)
1 1981
34.8%
2 1493
26.2%
3 455
 
8.0%
4 124
 
2.2%
5 87
 
1.5%
ValueCountFrequency (%)
5 87
 
1.5%
4 124
 
2.2%
3 455
 
8.0%
2 1493
26.2%
1 1981
34.8%

w1_E02_13
Real number (ℝ)

Missing 

Do you use social networking sites to get information regarding current social events? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1546
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.441630487
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:21.935886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.285567522
Coefficient of variation (CV)0.5265200976
Kurtosis-0.7394863276
Mean2.441630487
Median Absolute Deviation (MAD)1
Skewness0.581421037
Sum10123
Variance1.652683855
MonotonicityNot monotonic
2025-02-26T17:44:21.976828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1231
21.6%
1 1198
21.0%
3 809
14.2%
4 504
 
8.9%
5 404
 
7.1%
(Missing) 1546
27.2%
ValueCountFrequency (%)
1 1198
21.0%
2 1231
21.6%
3 809
14.2%
4 504
8.9%
5 404
 
7.1%
ValueCountFrequency (%)
5 404
 
7.1%
4 504
8.9%
3 809
14.2%
2 1231
21.6%
1 1198
21.0%

w1_E02_14
Real number (ℝ)

Missing 

Do you use social networking sites for sharing pictures? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1549
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.695389814
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.016726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.202723244
Coefficient of variation (CV)0.4462149549
Kurtosis-0.7229840757
Mean2.695389814
Median Absolute Deviation (MAD)1
Skewness0.3929601574
Sum11167
Variance1.446543203
MonotonicityNot monotonic
2025-02-26T17:44:22.058284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1357
23.8%
3 1085
19.1%
1 678
11.9%
4 595
 
10.5%
5 428
 
7.5%
(Missing) 1549
27.2%
ValueCountFrequency (%)
1 678
11.9%
2 1357
23.8%
3 1085
19.1%
4 595
10.5%
5 428
 
7.5%
ValueCountFrequency (%)
5 428
 
7.5%
4 595
10.5%
3 1085
19.1%
2 1357
23.8%
1 678
11.9%

w1_E02_15
Real number (ℝ)

Missing 

Do you use social networking sites to look at funny stories? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1551
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.739434919
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.098560image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.245460383
Coefficient of variation (CV)0.4546413474
Kurtosis-0.9577127882
Mean2.739434919
Median Absolute Deviation (MAD)1
Skewness0.2371925344
Sum11344
Variance1.551171565
MonotonicityNot monotonic
2025-02-26T17:44:22.139681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1156
20.3%
3 1011
17.8%
4 783
13.8%
1 772
13.6%
5 419
 
7.4%
(Missing) 1551
27.2%
ValueCountFrequency (%)
1 772
13.6%
2 1156
20.3%
3 1011
17.8%
4 783
13.8%
5 419
 
7.4%
ValueCountFrequency (%)
5 419
 
7.4%
4 783
13.8%
3 1011
17.8%
2 1156
20.3%
1 772
13.6%

w1_E02_16
Real number (ℝ)

Missing 

Do you use social networking sites for watching movies? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1552
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean2.487439614
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.179472image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.214030371
Coefficient of variation (CV)0.4880642586
Kurtosis-0.5111030085
Mean2.487439614
Median Absolute Deviation (MAD)1
Skewness0.6214009762
Sum10298
Variance1.473869741
MonotonicityNot monotonic
2025-02-26T17:44:22.221286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1511
26.5%
1 920
16.2%
3 864
15.2%
4 461
 
8.1%
5 384
 
6.7%
(Missing) 1552
27.3%
ValueCountFrequency (%)
1 920
16.2%
2 1511
26.5%
3 864
15.2%
4 461
 
8.1%
5 384
 
6.7%
ValueCountFrequency (%)
5 384
 
6.7%
4 461
 
8.1%
3 864
15.2%
2 1511
26.5%
1 920
16.2%

w1_E02_17
Real number (ℝ)

Missing 

Do you use social networking sites to get relief from academic stress? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1555
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean3.147691564
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.261789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.42585619
Coefficient of variation (CV)0.4529847226
Kurtosis-1.370667292
Mean3.147691564
Median Absolute Deviation (MAD)1
Skewness-0.01619145518
Sum13022
Variance2.033065874
MonotonicityNot monotonic
2025-02-26T17:44:22.302440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1092
19.2%
2 1043
18.3%
3 723
12.7%
4 676
11.9%
1 603
 
10.6%
(Missing) 1555
27.3%
ValueCountFrequency (%)
1 603
10.6%
2 1043
18.3%
3 723
12.7%
4 676
11.9%
5 1092
19.2%
ValueCountFrequency (%)
5 1092
19.2%
4 676
11.9%
3 723
12.7%
2 1043
18.3%
1 603
10.6%

w1_E02_18
Real number (ℝ)

Missing 

Do you use social networking sites for reading news? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1561
Missing (%)27.4%
Infinite0
Infinite (%)0.0%
Mean2.554345195
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.343294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.270883613
Coefficient of variation (CV)0.497537927
Kurtosis-0.6922866717
Mean2.554345195
Median Absolute Deviation (MAD)1
Skewness0.5724894435
Sum10552
Variance1.615145158
MonotonicityNot monotonic
2025-02-26T17:44:22.384735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1430
25.1%
1 917
16.1%
3 846
14.9%
5 485
 
8.5%
4 453
 
8.0%
(Missing) 1561
27.4%
ValueCountFrequency (%)
1 917
16.1%
2 1430
25.1%
3 846
14.9%
4 453
 
8.0%
5 485
 
8.5%
ValueCountFrequency (%)
5 485
 
8.5%
4 453
 
8.0%
3 846
14.9%
2 1430
25.1%
1 917
16.1%

w1_E02_19
Real number (ℝ)

Missing 

Do you use social networking sites to share new ideas? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1551
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean2.217338807
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.426024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.034477519
Coefficient of variation (CV)0.4665401227
Kurtosis0.3316148356
Mean2.217338807
Median Absolute Deviation (MAD)1
Skewness0.8401780093
Sum9182
Variance1.070143738
MonotonicityNot monotonic
2025-02-26T17:44:22.467281image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 1787
31.4%
1 1050
18.4%
3 825
14.5%
4 312
 
5.5%
5 167
 
2.9%
(Missing) 1551
27.2%
ValueCountFrequency (%)
1 1050
18.4%
2 1787
31.4%
3 825
14.5%
4 312
 
5.5%
5 167
 
2.9%
ValueCountFrequency (%)
5 167
 
2.9%
4 312
 
5.5%
3 825
14.5%
2 1787
31.4%
1 1050
18.4%

w1_E02_20
Real number (ℝ)

Missing 

Do you use social networking sites for getting jobs related information? (1 “never” – 6 “very often”)

Distinct5
Distinct (%)0.1%
Missing1550
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean3.313133752
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.508449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.253718499
Coefficient of variation (CV)0.3784086588
Kurtosis-0.9706841801
Mean3.313133752
Median Absolute Deviation (MAD)1
Skewness-0.2568075399
Sum13723
Variance1.571810076
MonotonicityNot monotonic
2025-02-26T17:44:22.548590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 1117
19.6%
3 998
17.5%
5 866
15.2%
2 770
13.5%
1 391
 
6.9%
(Missing) 1550
27.2%
ValueCountFrequency (%)
1 391
 
6.9%
2 770
13.5%
3 998
17.5%
4 1117
19.6%
5 866
15.2%
ValueCountFrequency (%)
5 866
15.2%
4 1117
19.6%
3 998
17.5%
2 770
13.5%
1 391
 
6.9%

w1_E02_21
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.1%
Missing1555
Missing (%)27.3%
Infinite0
Infinite (%)0.0%
Mean3.389412618
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.588233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.232189975
Coefficient of variation (CV)0.3635408592
Kurtosis-0.9719182065
Mean3.389412618
Median Absolute Deviation (MAD)1
Skewness-0.2303375118
Sum14022
Variance1.518292136
MonotonicityNot monotonic
2025-02-26T17:44:22.629215image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1094
19.2%
5 993
17.4%
4 985
17.3%
2 770
13.5%
1 295
 
5.2%
(Missing) 1555
27.3%
ValueCountFrequency (%)
1 295
 
5.2%
2 770
13.5%
3 1094
19.2%
4 985
17.3%
5 993
17.4%
ValueCountFrequency (%)
5 993
17.4%
4 985
17.3%
3 1094
19.2%
2 770
13.5%
1 295
 
5.2%

w1_E03
Real number (ℝ)

Missing 

You know what a chatbot is? 1. Yes, 2. No [go to F01]

Distinct2
Distinct (%)< 0.1%
Missing1512
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean1.585885167
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.669087image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4926274412
Coefficient of variation (CV)0.3106324792
Kurtosis-1.879203786
Mean1.585885167
Median Absolute Deviation (MAD)0
Skewness-0.3488489407
Sum6629
Variance0.2426817959
MonotonicityNot monotonic
2025-02-26T17:44:22.707080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2449
43.0%
1 1731
30.4%
(Missing) 1512
26.6%
ValueCountFrequency (%)
1 1731
30.4%
2 2449
43.0%
ValueCountFrequency (%)
2 2449
43.0%
1 1731
30.4%

w1_E04
Real number (ℝ)

Missing 

Currently, do you use some chatbot? 1. Yes [go to E06], 2. No

Distinct2
Distinct (%)0.1%
Missing3962
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean1.908092486
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.743428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.288978882
Coefficient of variation (CV)0.151449096
Kurtosis6.00251304
Mean1.908092486
Median Absolute Deviation (MAD)0
Skewness-2.827644789
Sum3301
Variance0.08350879422
MonotonicityNot monotonic
2025-02-26T17:44:22.781256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1571
 
27.6%
1 159
 
2.8%
(Missing) 3962
69.6%
ValueCountFrequency (%)
1 159
 
2.8%
2 1571
27.6%
ValueCountFrequency (%)
2 1571
27.6%
1 159
 
2.8%

w1_E05
Real number (ℝ)

Missing 

In the past, have you tried to talk/converse with a chatbot? 1. Yes [go to F01], 2. No [go to F01]

Distinct2
Distinct (%)0.1%
Missing4121
Missing (%)72.4%
Infinite0
Infinite (%)0.0%
Mean1.567154679
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.819716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4956274936
Coefficient of variation (CV)0.3162594608
Kurtosis-1.928835067
Mean1.567154679
Median Absolute Deviation (MAD)0
Skewness-0.2713339405
Sum2462
Variance0.2456466124
MonotonicityNot monotonic
2025-02-26T17:44:22.856634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 891
 
15.7%
1 680
 
11.9%
(Missing) 4121
72.4%
ValueCountFrequency (%)
1 680
11.9%
2 891
15.7%
ValueCountFrequency (%)
2 891
15.7%
1 680
11.9%

w1_E06
Real number (ℝ)

Missing 

How many chatbot apps have you installed on your smartphone? N.|__|

Distinct6
Distinct (%)3.9%
Missing5537
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean1.296774194
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:22.893731image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7400789143
Coefficient of variation (CV)0.5707076204
Kurtosis15.49477262
Mean1.296774194
Median Absolute Deviation (MAD)0
Skewness3.551685849
Sum201
Variance0.5477167993
MonotonicityNot monotonic
2025-02-26T17:44:22.931919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 124
 
2.2%
2 23
 
0.4%
3 4
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
(Missing) 5537
97.3%
ValueCountFrequency (%)
1 124
2.2%
2 23
 
0.4%
3 4
 
0.1%
4 2
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 1
 
< 0.1%
4 2
 
< 0.1%
3 4
 
0.1%
2 23
0.4%

w1_E07
Text

Missing 

Can you tell us which chatbot(s) you have installed on your smartphone? App Name(s) (________)

Distinct51
Distinct (%)34.2%
Missing5543
Missing (%)97.4%
Memory size47.0 KiB
2025-02-26T17:44:23.031830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length75
Median length8
Mean length11.72483221
Min length3

Characters and Unicode

Total characters1747
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)30.2%

Sample

1st rowTelegram
2nd rowTelegram
3rd rowTelegram
4th rowTelegram
5th rowTelegram (bot per pinnare i messaggi, alcune volte a settimana)
ValueCountFrequency (%)
telegram 117
51.1%
google 6
 
2.6%
vodafone 6
 
2.6%
facebook 5
 
2.2%
messenger 5
 
2.2%
windtre 5
 
2.2%
flo 4
 
1.7%
discord 3
 
1.3%
siri 3
 
1.3%
app 3
 
1.3%
Other values (55) 72
31.4%
2025-02-26T17:44:23.196200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 314
18.0%
a 169
9.7%
l 145
 
8.3%
g 143
 
8.2%
r 143
 
8.2%
m 129
 
7.4%
T 110
 
6.3%
80
 
4.6%
o 77
 
4.4%
n 51
 
2.9%
Other values (37) 386
22.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1747
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 314
18.0%
a 169
9.7%
l 145
 
8.3%
g 143
 
8.2%
r 143
 
8.2%
m 129
 
7.4%
T 110
 
6.3%
80
 
4.6%
o 77
 
4.4%
n 51
 
2.9%
Other values (37) 386
22.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1747
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 314
18.0%
a 169
9.7%
l 145
 
8.3%
g 143
 
8.2%
r 143
 
8.2%
m 129
 
7.4%
T 110
 
6.3%
80
 
4.6%
o 77
 
4.4%
n 51
 
2.9%
Other values (37) 386
22.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1747
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 314
18.0%
a 169
9.7%
l 145
 
8.3%
g 143
 
8.2%
r 143
 
8.2%
m 129
 
7.4%
T 110
 
6.3%
80
 
4.6%
o 77
 
4.4%
n 51
 
2.9%
Other values (37) 386
22.1%

w1_E08
Real number (ℝ)

Missing 

How often do use the chatbot? (1) Rarely/Never; (2) Every few weeks; (3) A few times a week; (4) About once a day; (5) Several times a day

Distinct5
Distinct (%)3.2%
Missing5534
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean2.335443038
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.244156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.109373838
Coefficient of variation (CV)0.47501644
Kurtosis-0.06165003406
Mean2.335443038
Median Absolute Deviation (MAD)1
Skewness0.6926423277
Sum369
Variance1.230710312
MonotonicityNot monotonic
2025-02-26T17:44:23.284858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 58
 
1.0%
3 39
 
0.7%
1 39
 
0.7%
4 13
 
0.2%
5 9
 
0.2%
(Missing) 5534
97.2%
ValueCountFrequency (%)
1 39
0.7%
2 58
1.0%
3 39
0.7%
4 13
 
0.2%
5 9
 
0.2%
ValueCountFrequency (%)
5 9
 
0.2%
4 13
 
0.2%
3 39
0.7%
2 58
1.0%
1 39
0.7%

w1_E09_1
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot shows you ads (advertisements) based on your online activity? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.2%
Missing5534
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean3.139240506
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.325920image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.303930142
Coefficient of variation (CV)0.4153648435
Kurtosis-1.095134167
Mean3.139240506
Median Absolute Deviation (MAD)1
Skewness-0.03471951947
Sum496
Variance1.700233814
MonotonicityNot monotonic
2025-02-26T17:44:23.365795image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 41
 
0.7%
2 35
 
0.6%
5 32
 
0.6%
4 31
 
0.5%
1 19
 
0.3%
(Missing) 5534
97.2%
ValueCountFrequency (%)
1 19
0.3%
2 35
0.6%
3 41
0.7%
4 31
0.5%
5 32
0.6%
ValueCountFrequency (%)
5 32
0.6%
4 31
0.5%
3 41
0.7%
2 35
0.6%
1 19
0.3%

w1_E09_2
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot knew who you were, without logging in? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.2%
Missing5534
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean3.411392405
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.404893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.459123491
Coefficient of variation (CV)0.4277208006
Kurtosis-1.160724566
Mean3.411392405
Median Absolute Deviation (MAD)1
Skewness-0.4828891327
Sum539
Variance2.129041361
MonotonicityNot monotonic
2025-02-26T17:44:23.445887image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 48
 
0.8%
4 42
 
0.7%
1 27
 
0.5%
3 22
 
0.4%
2 19
 
0.3%
(Missing) 5534
97.2%
ValueCountFrequency (%)
1 27
0.5%
2 19
 
0.3%
3 22
0.4%
4 42
0.7%
5 48
0.8%
ValueCountFrequency (%)
5 48
0.8%
4 42
0.7%
3 22
0.4%
2 19
 
0.3%
1 27
0.5%

w1_E09_3
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot analysed you, even when using other apps (applications)? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.2%
Missing5534
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean3.537974684
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.485331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.525311187
Coefficient of variation (CV)0.4311255232
Kurtosis-1.17168146
Mean3.537974684
Median Absolute Deviation (MAD)1
Skewness-0.5910221288
Sum559
Variance2.326574216
MonotonicityNot monotonic
2025-02-26T17:44:23.526799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 62
 
1.1%
4 34
 
0.6%
1 28
 
0.5%
2 17
 
0.3%
3 17
 
0.3%
(Missing) 5534
97.2%
ValueCountFrequency (%)
1 28
0.5%
2 17
 
0.3%
3 17
 
0.3%
4 34
0.6%
5 62
1.1%
ValueCountFrequency (%)
5 62
1.1%
4 34
0.6%
3 17
 
0.3%
2 17
 
0.3%
1 28
0.5%

w1_E09_4
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your age? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.2%
Missing5534
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean2.848101266
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.566619image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.302507211
Coefficient of variation (CV)0.457324754
Kurtosis-1.087421249
Mean2.848101266
Median Absolute Deviation (MAD)1
Skewness0.05818482692
Sum450
Variance1.696525034
MonotonicityNot monotonic
2025-02-26T17:44:23.606765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 41
 
0.7%
4 34
 
0.6%
2 32
 
0.6%
1 32
 
0.6%
5 19
 
0.3%
(Missing) 5534
97.2%
ValueCountFrequency (%)
1 32
0.6%
2 32
0.6%
3 41
0.7%
4 34
0.6%
5 19
0.3%
ValueCountFrequency (%)
5 19
0.3%
4 34
0.6%
3 41
0.7%
2 32
0.6%
1 32
0.6%

w1_E09_5
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your gender? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.2%
Missing5534
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean2.791139241
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.645886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.257101091
Coefficient of variation (CV)0.45038996
Kurtosis-0.9407278763
Mean2.791139241
Median Absolute Deviation (MAD)1
Skewness0.1295651853
Sum441
Variance1.580303152
MonotonicityNot monotonic
2025-02-26T17:44:23.685384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 47
 
0.8%
2 34
 
0.6%
1 31
 
0.5%
4 29
 
0.5%
5 17
 
0.3%
(Missing) 5534
97.2%
ValueCountFrequency (%)
1 31
0.5%
2 34
0.6%
3 47
0.8%
4 29
0.5%
5 17
 
0.3%
ValueCountFrequency (%)
5 17
 
0.3%
4 29
0.5%
3 47
0.8%
2 34
0.6%
1 31
0.5%

w1_E09_6
Real number (ℝ)

Missing 

How much do you agree with the following statement: if the chatbot identified your religious/political views? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.2%
Missing5534
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean3.158227848
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.726066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.443289554
Coefficient of variation (CV)0.4569934861
Kurtosis-1.2799494
Mean3.158227848
Median Absolute Deviation (MAD)1
Skewness-0.1906865402
Sum499
Variance2.083084738
MonotonicityNot monotonic
2025-02-26T17:44:23.767407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 38
 
0.7%
3 34
 
0.6%
4 33
 
0.6%
1 31
 
0.5%
2 22
 
0.4%
(Missing) 5534
97.2%
ValueCountFrequency (%)
1 31
0.5%
2 22
0.4%
3 34
0.6%
4 33
0.6%
5 38
0.7%
ValueCountFrequency (%)
5 38
0.7%
4 33
0.6%
3 34
0.6%
2 22
0.4%
1 31
0.5%

w1_E09_7
Real number (ℝ)

Missing 

How much do you agree with the following statement: if individuals or groups perform threatening acts to other users, through the chatbot? (1 Totally disagree; 2 Disagree; 3 Neutral; 4 Agree; 5 Totally Agree)

Distinct5
Distinct (%)3.2%
Missing5534
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean3.689873418
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.808924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.737198487
Coefficient of variation (CV)0.4708016482
Kurtosis-1.24325437
Mean3.689873418
Median Absolute Deviation (MAD)0
Skewness-0.7819507898
Sum583
Variance3.017858583
MonotonicityNot monotonic
2025-02-26T17:44:23.848724image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 90
 
1.6%
1 42
 
0.7%
4 17
 
0.3%
3 5
 
0.1%
2 4
 
0.1%
(Missing) 5534
97.2%
ValueCountFrequency (%)
1 42
0.7%
2 4
 
0.1%
3 5
 
0.1%
4 17
 
0.3%
5 90
1.6%
ValueCountFrequency (%)
5 90
1.6%
4 17
 
0.3%
3 5
 
0.1%
2 4
 
0.1%
1 42
0.7%

w1_F01
Real number (ℝ)

Missing 

Are you a part of, or are you a member of, any student association or group and/or other nonstudents associations? (e.g. religious, political, sports, etc.) 1) Only student ass. [go to F02], 2)Only nonstudent ass. [go to F04], 3) Both, 4) No [go to G01]

Distinct4
Distinct (%)0.1%
Missing1527
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean3.269867947
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.886384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.007020079
Coefficient of variation (CV)0.3079696475
Kurtosis-1.102021505
Mean3.269867947
Median Absolute Deviation (MAD)0
Skewness-0.7807852382
Sum13619
Variance1.01408944
MonotonicityNot monotonic
2025-02-26T17:44:23.924289image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 2668
46.9%
2 1230
21.6%
1 157
 
2.8%
3 110
 
1.9%
(Missing) 1527
26.8%
ValueCountFrequency (%)
1 157
 
2.8%
2 1230
21.6%
3 110
 
1.9%
4 2668
46.9%
ValueCountFrequency (%)
4 2668
46.9%
3 110
 
1.9%
2 1230
21.6%
1 157
 
2.8%

w1_F02
Real number (ℝ)

Missing  Zeros 

Distinct8
Distinct (%)0.5%
Missing4195
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean0.3734134937
Minimum0
Maximum11
Zeros1102
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:23.962217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8020119491
Coefficient of variation (CV)2.14778513
Kurtosis39.23473791
Mean0.3734134937
Median Absolute Deviation (MAD)0
Skewness4.503729843
Sum559
Variance0.6432231665
MonotonicityNot monotonic
2025-02-26T17:44:24.001543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1102
 
19.4%
1 291
 
5.1%
2 71
 
1.2%
3 23
 
0.4%
4 6
 
0.1%
6 2
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
(Missing) 4195
73.7%
ValueCountFrequency (%)
0 1102
19.4%
1 291
 
5.1%
2 71
 
1.2%
3 23
 
0.4%
4 6
 
0.1%
ValueCountFrequency (%)
11 1
 
< 0.1%
10 1
 
< 0.1%
6 2
 
< 0.1%
4 6
 
0.1%
3 23
0.4%

w1_F03_1
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Faith

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5683 
True
 
9
ValueCountFrequency (%)
False 5683
99.8%
True 9
 
0.2%
2025-02-26T17:44:24.037264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_2
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Arts and Performance

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5681 
True
 
11
ValueCountFrequency (%)
False 5681
99.8%
True 11
 
0.2%
2025-02-26T17:44:24.067352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_3
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5673 
True
 
19
ValueCountFrequency (%)
False 5673
99.7%
True 19
 
0.3%
2025-02-26T17:44:24.098228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_4
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Cultural and National

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5633 
True
 
59
ValueCountFrequency (%)
False 5633
99.0%
True 59
 
1.0%
2025-02-26T17:44:24.128287image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_5
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Careers

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5654 
True
 
38
ValueCountFrequency (%)
False 5654
99.3%
True 38
 
0.7%
2025-02-26T17:44:24.158358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_6
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Volunteering and Charity

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5650 
True
 
42
ValueCountFrequency (%)
False 5650
99.3%
True 42
 
0.7%
2025-02-26T17:44:24.257194image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_7
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5614 
True
 
78
ValueCountFrequency (%)
False 5614
98.6%
True 78
 
1.4%
2025-02-26T17:44:24.287508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_8
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Media

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5657 
True
 
35
ValueCountFrequency (%)
False 5657
99.4%
True 35
 
0.6%
2025-02-26T17:44:24.318474image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_9
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Sport

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5662 
True
 
30
ValueCountFrequency (%)
False 5662
99.5%
True 30
 
0.5%
2025-02-26T17:44:24.348857image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_10
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to: Recreational

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5669 
True
 
23
ValueCountFrequency (%)
False 5669
99.6%
True 23
 
0.4%
2025-02-26T17:44:24.378947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to: Other, specify: ________

Distinct37
Distinct (%)77.1%
Missing5644
Missing (%)99.2%
Memory size46.5 KiB
2025-02-26T17:44:24.512757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length138
Median length50
Mean length25.72916667
Min length3

Characters and Unicode

Total characters1235
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)68.8%

Sample

1st rowESN Trento
2nd rowRappresentanza
3rd rowStudentesca
4th rowRappresentanza studentesca
5th rowculturale, ricreativa, rappresentanza studentesca
ValueCountFrequency (%)
rappresentanza 17
 
12.1%
studentesca 10
 
7.1%
di 6
 
4.3%
associazione 4
 
2.8%
per 4
 
2.8%
culturale 3
 
2.1%
universitaria 3
 
2.1%
eventi 3
 
2.1%
e 3
 
2.1%
esn 2
 
1.4%
Other values (77) 86
61.0%
2025-02-26T17:44:24.718228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 149
12.1%
e 133
10.8%
n 109
 
8.8%
93
 
7.5%
i 92
 
7.4%
t 89
 
7.2%
s 79
 
6.4%
r 76
 
6.2%
o 53
 
4.3%
p 52
 
4.2%
Other values (37) 310
25.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1235
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 149
12.1%
e 133
10.8%
n 109
 
8.8%
93
 
7.5%
i 92
 
7.4%
t 89
 
7.2%
s 79
 
6.4%
r 76
 
6.2%
o 53
 
4.3%
p 52
 
4.2%
Other values (37) 310
25.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1235
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 149
12.1%
e 133
10.8%
n 109
 
8.8%
93
 
7.5%
i 92
 
7.4%
t 89
 
7.2%
s 79
 
6.4%
r 76
 
6.2%
o 53
 
4.3%
p 52
 
4.2%
Other values (37) 310
25.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1235
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 149
12.1%
e 133
10.8%
n 109
 
8.8%
93
 
7.5%
i 92
 
7.4%
t 89
 
7.2%
s 79
 
6.4%
r 76
 
6.2%
o 53
 
4.3%
p 52
 
4.2%
Other values (37) 310
25.1%

w1_F04_1
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Faith

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5420 
True
 
272
ValueCountFrequency (%)
False 5420
95.2%
True 272
 
4.8%
2025-02-26T17:44:24.765059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_2
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Arts and Performance

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5479 
True
 
213
ValueCountFrequency (%)
False 5479
96.3%
True 213
 
3.7%
2025-02-26T17:44:24.795731image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_3
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Activity and specialist (e.g., music, alt music, wine, dance, video makers)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5641 
True
 
51
ValueCountFrequency (%)
False 5641
99.1%
True 51
 
0.9%
2025-02-26T17:44:24.826101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_4
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Cultural and National

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5552 
True
 
140
ValueCountFrequency (%)
False 5552
97.5%
True 140
 
2.5%
2025-02-26T17:44:24.856231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_5
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Careers

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5678 
True
 
14
ValueCountFrequency (%)
False 5678
99.8%
True 14
 
0.2%
2025-02-26T17:44:24.887174image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_6
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Volunteering and Charity

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5135 
True
557 
ValueCountFrequency (%)
False 5135
90.2%
True 557
 
9.8%
2025-02-26T17:44:24.917511image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_7
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Political (e.g., Pacifist, environmentalist, civil rights advocate, political party)

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5549 
True
 
143
ValueCountFrequency (%)
False 5549
97.5%
True 143
 
2.5%
2025-02-26T17:44:24.949833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_8
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Media

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5674 
True
 
18
ValueCountFrequency (%)
False 5674
99.7%
True 18
 
0.3%
2025-02-26T17:44:24.979822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_9
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Sport

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5129 
True
563 
ValueCountFrequency (%)
False 5129
90.1%
True 563
 
9.9%
2025-02-26T17:44:25.010236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_10
Boolean

Imbalance 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Recreational

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5546 
True
 
146
ValueCountFrequency (%)
False 5546
97.4%
True 146
 
2.6%
2025-02-26T17:44:25.042053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_other
Text

Missing 

Please mark the categories of interest of the society(ies) you belong to nonstudents association: Other, specify

Distinct68
Distinct (%)73.9%
Missing5600
Missing (%)98.4%
Memory size46.7 KiB
2025-02-26T17:44:25.175928image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length114
Median length40
Mean length15.90217391
Min length4

Characters and Unicode

Total characters1463
Distinct characters51
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)66.3%

Sample

1st rowLibera Contro le Mafie
2nd rowagesci Scout
3rd rowAGESCI
4th rowFormazione
5th rowdi promozione sociale
ValueCountFrequency (%)
scout 23
 
11.3%
di 9
 
4.4%
musicale 7
 
3.4%
agesci 5
 
2.5%
gruppo 4
 
2.0%
promozione 4
 
2.0%
sociale 4
 
2.0%
associazione 3
 
1.5%
banda 3
 
1.5%
e 3
 
1.5%
Other values (122) 138
68.0%
2025-02-26T17:44:25.381570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 147
 
10.0%
i 143
 
9.8%
a 139
 
9.5%
111
 
7.6%
e 99
 
6.8%
t 96
 
6.6%
c 84
 
5.7%
s 75
 
5.1%
n 65
 
4.4%
u 63
 
4.3%
Other values (41) 441
30.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1463
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 147
 
10.0%
i 143
 
9.8%
a 139
 
9.5%
111
 
7.6%
e 99
 
6.8%
t 96
 
6.6%
c 84
 
5.7%
s 75
 
5.1%
n 65
 
4.4%
u 63
 
4.3%
Other values (41) 441
30.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1463
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 147
 
10.0%
i 143
 
9.8%
a 139
 
9.5%
111
 
7.6%
e 99
 
6.8%
t 96
 
6.6%
c 84
 
5.7%
s 75
 
5.1%
n 65
 
4.4%
u 63
 
4.3%
Other values (41) 441
30.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1463
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 147
 
10.0%
i 143
 
9.8%
a 139
 
9.5%
111
 
7.6%
e 99
 
6.8%
t 96
 
6.6%
c 84
 
5.7%
s 75
 
5.1%
n 65
 
4.4%
u 63
 
4.3%
Other values (41) 441
30.1%

w1_G01_1
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Acted in a theatre play (1) YES (2) NO

Distinct2
Distinct (%)< 0.1%
Missing1587
Missing (%)27.9%
Infinite0
Infinite (%)0.0%
Mean1.917904994
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:25.432351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2745428519
Coefficient of variation (CV)0.1431472637
Kurtosis7.280772698
Mean1.917904994
Median Absolute Deviation (MAD)0
Skewness-3.045853848
Sum7873
Variance0.07537377752
MonotonicityNot monotonic
2025-02-26T17:44:25.472025image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 3768
66.2%
1 337
 
5.9%
(Missing) 1587
27.9%
ValueCountFrequency (%)
1 337
 
5.9%
2 3768
66.2%
ValueCountFrequency (%)
2 3768
66.2%
1 337
 
5.9%

w1_G01_2
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Directed a theatre play (1) YES (2) NO

Distinct2
Distinct (%)< 0.1%
Missing1594
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.988042948
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:25.509393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1087058633
Coefficient of variation (CV)0.05467983648
Kurtosis78.74225978
Mean1.988042948
Median Absolute Deviation (MAD)0
Skewness-8.983531066
Sum8147
Variance0.01181696472
MonotonicityNot monotonic
2025-02-26T17:44:25.546852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 4049
71.1%
1 49
 
0.9%
(Missing) 1594
 
28.0%
ValueCountFrequency (%)
1 49
 
0.9%
2 4049
71.1%
ValueCountFrequency (%)
2 4049
71.1%
1 49
 
0.9%

w1_G01_3
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Performed as a stand-up comedian (1) YES (2) NO

Distinct2
Distinct (%)< 0.1%
Missing1598
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean1.974596971
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:25.582894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1573650652
Coefficient of variation (CV)0.07969477696
Kurtosis34.43495599
Mean1.974596971
Median Absolute Deviation (MAD)0
Skewness-6.034743911
Sum8084
Variance0.02476376374
MonotonicityNot monotonic
2025-02-26T17:44:25.619639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 3990
70.1%
1 104
 
1.8%
(Missing) 1598
28.1%
ValueCountFrequency (%)
1 104
 
1.8%
2 3990
70.1%
ValueCountFrequency (%)
2 3990
70.1%
1 104
 
1.8%

w1_G01_4
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Sung in a choir, a vocal ensemble, opera/operetta/musical troupe, pop-rock jazz, folk band, rapped (1) YES (2) NO

Distinct2
Distinct (%)< 0.1%
Missing1592
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.891707317
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:25.656658image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.310787606
Coefficient of variation (CV)0.1642894771
Kurtosis4.36245975
Mean1.891707317
Median Absolute Deviation (MAD)0
Skewness-2.521969857
Sum7756
Variance0.09658893603
MonotonicityNot monotonic
2025-02-26T17:44:25.695280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 3656
64.2%
1 444
 
7.8%
(Missing) 1592
28.0%
ValueCountFrequency (%)
1 444
 
7.8%
2 3656
64.2%
ValueCountFrequency (%)
2 3656
64.2%
1 444
 
7.8%

w1_G01_5
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument (1) YES (2) NO

Distinct2
Distinct (%)< 0.1%
Missing1591
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.68422336
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:25.733361image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4648811155
Coefficient of variation (CV)0.276021059
Kurtosis-1.371902958
Mean1.68422336
Median Absolute Deviation (MAD)0
Skewness-0.7929478784
Sum6907
Variance0.2161144516
MonotonicityNot monotonic
2025-02-26T17:44:25.770800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2806
49.3%
1 1295
22.8%
(Missing) 1591
28.0%
ValueCountFrequency (%)
1 1295
22.8%
2 2806
49.3%
ValueCountFrequency (%)
2 2806
49.3%
1 1295
22.8%

w1_G01_6
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Played a musical instrument in an orchestra or pop/rock/jazz/folk band (1) YES (2) NO

Distinct2
Distinct (%)< 0.1%
Missing1604
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean1.931506849
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:25.807224image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2526211589
Coefficient of variation (CV)0.130789678
Kurtosis9.686840603
Mean1.931506849
Median Absolute Deviation (MAD)0
Skewness-3.417908964
Sum7896
Variance0.06381744992
MonotonicityNot monotonic
2025-02-26T17:44:25.847348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 3808
66.9%
1 280
 
4.9%
(Missing) 1604
28.2%
ValueCountFrequency (%)
1 280
 
4.9%
2 3808
66.9%
ValueCountFrequency (%)
2 3808
66.9%
1 280
 
4.9%

w1_G01_7
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Composed music or performed as DJ (1) YES (2) NO

Distinct2
Distinct (%)< 0.1%
Missing1604
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean1.951810176
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:25.885296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2141933415
Coefficient of variation (CV)0.1097408673
Kurtosis15.82271205
Mean1.951810176
Median Absolute Deviation (MAD)0
Skewness-4.220778511
Sum7979
Variance0.04587878755
MonotonicityNot monotonic
2025-02-26T17:44:25.922308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 3891
68.4%
1 197
 
3.5%
(Missing) 1604
28.2%
ValueCountFrequency (%)
1 197
 
3.5%
2 3891
68.4%
ValueCountFrequency (%)
2 3891
68.4%
1 197
 
3.5%

w1_G01_8
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Danced (ballet or modern dance, ballroom dance, Latin American dance, jazz dance, hip hop, break dance, street dance, folk dance) (1) YES (2) NO

Distinct2
Distinct (%)< 0.1%
Missing1591
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean1.833211412
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:25.959969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3728324693
Coefficient of variation (CV)0.2033766902
Kurtosis1.198713319
Mean1.833211412
Median Absolute Deviation (MAD)0
Skewness-1.788331334
Sum7518
Variance0.1390040502
MonotonicityNot monotonic
2025-02-26T17:44:25.998705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 3417
60.0%
1 684
 
12.0%
(Missing) 1591
28.0%
ValueCountFrequency (%)
1 684
 
12.0%
2 3417
60.0%
ValueCountFrequency (%)
2 3417
60.0%
1 684
 
12.0%

w1_G01_9
Real number (ℝ)

Missing 

Have you done any of the following activities in the last year or so? Did choreography for a dance performance (1) YES (2) NO

Distinct2
Distinct (%)< 0.1%
Missing1647
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean1.9631644
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.037053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1883812923
Coefficient of variation (CV)0.09595798104
Kurtosis22.21482842
Mean1.9631644
Median Absolute Deviation (MAD)0
Skewness-4.91974032
Sum7941
Variance0.03548751129
MonotonicityNot monotonic
2025-02-26T17:44:26.074036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 3896
68.4%
1 149
 
2.6%
(Missing) 1647
28.9%
ValueCountFrequency (%)
1 149
 
2.6%
2 3896
68.4%
ValueCountFrequency (%)
2 3896
68.4%
1 149
 
2.6%

w1_G02_1
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Theatre plays? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1603
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean1.812423575
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.109894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.210595033
Coefficient of variation (CV)0.6679426648
Kurtosis3.063045139
Mean1.812423575
Median Absolute Deviation (MAD)0
Skewness1.828783583
Sum7411
Variance1.465540333
MonotonicityNot monotonic
2025-02-26T17:44:26.148260image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2267
39.8%
2 1045
18.4%
3 389
 
6.8%
4 179
 
3.1%
6 126
 
2.2%
5 83
 
1.5%
(Missing) 1603
28.2%
ValueCountFrequency (%)
1 2267
39.8%
2 1045
18.4%
3 389
 
6.8%
4 179
 
3.1%
5 83
 
1.5%
ValueCountFrequency (%)
6 126
 
2.2%
5 83
 
1.5%
4 179
 
3.1%
3 389
 
6.8%
2 1045
18.4%

w1_G02_2
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Cabarets, or a stand-up comedy? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1623
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean1.601867781
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.184186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.213151649
Coefficient of variation (CV)0.757335695
Kurtosis4.398237055
Mean1.601867781
Median Absolute Deviation (MAD)0
Skewness2.248563022
Sum6518
Variance1.471736924
MonotonicityNot monotonic
2025-02-26T17:44:26.223552image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2960
52.0%
2 472
 
8.3%
3 270
 
4.7%
4 158
 
2.8%
6 127
 
2.2%
5 82
 
1.4%
(Missing) 1623
28.5%
ValueCountFrequency (%)
1 2960
52.0%
2 472
 
8.3%
3 270
 
4.7%
4 158
 
2.8%
5 82
 
1.4%
ValueCountFrequency (%)
6 127
 
2.2%
5 82
 
1.4%
4 158
 
2.8%
3 270
4.7%
2 472
8.3%

w1_G02_3
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Ballets or a modern dance? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1607
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean1.355936353
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.260501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9239532743
Coefficient of variation (CV)0.6814134547
Kurtosis11.34512852
Mean1.355936353
Median Absolute Deviation (MAD)0
Skewness3.280033078
Sum5539
Variance0.8536896531
MonotonicityNot monotonic
2025-02-26T17:44:26.299187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3316
58.3%
2 437
 
7.7%
3 149
 
2.6%
4 80
 
1.4%
6 67
 
1.2%
5 36
 
0.6%
(Missing) 1607
28.2%
ValueCountFrequency (%)
1 3316
58.3%
2 437
 
7.7%
3 149
 
2.6%
4 80
 
1.4%
5 36
 
0.6%
ValueCountFrequency (%)
6 67
 
1.2%
5 36
 
0.6%
4 80
 
1.4%
3 149
 
2.6%
2 437
7.7%

w1_G02_4
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Classical music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1603
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean1.715333822
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.337355image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.331046607
Coefficient of variation (CV)0.7759694293
Kurtosis2.95152085
Mean1.715333822
Median Absolute Deviation (MAD)0
Skewness1.973676816
Sum7014
Variance1.771685071
MonotonicityNot monotonic
2025-02-26T17:44:26.375631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2835
49.8%
2 501
 
8.8%
3 284
 
5.0%
4 187
 
3.3%
6 167
 
2.9%
5 115
 
2.0%
(Missing) 1603
28.2%
ValueCountFrequency (%)
1 2835
49.8%
2 501
 
8.8%
3 284
 
5.0%
4 187
 
3.3%
5 115
 
2.0%
ValueCountFrequency (%)
6 167
 
2.9%
5 115
 
2.0%
4 187
 
3.3%
3 284
5.0%
2 501
8.8%

w1_G02_5
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Opera? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1601
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean1.331459301
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.412627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8988638833
Coefficient of variation (CV)0.6750967774
Kurtosis12.14768117
Mean1.331459301
Median Absolute Deviation (MAD)0
Skewness3.394228781
Sum5447
Variance0.8079562807
MonotonicityNot monotonic
2025-02-26T17:44:26.451507image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3384
59.5%
2 390
 
6.9%
3 144
 
2.5%
4 73
 
1.3%
6 59
 
1.0%
5 41
 
0.7%
(Missing) 1601
28.1%
ValueCountFrequency (%)
1 3384
59.5%
2 390
 
6.9%
3 144
 
2.5%
4 73
 
1.3%
5 41
 
0.7%
ValueCountFrequency (%)
6 59
 
1.0%
5 41
 
0.7%
4 73
 
1.3%
3 144
 
2.5%
2 390
6.9%

w1_G02_6
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Musical? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1608
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean1.453476983
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.488664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.013037789
Coefficient of variation (CV)0.6969754597
Kurtosis7.425689967
Mean1.453476983
Median Absolute Deviation (MAD)0
Skewness2.712587402
Sum5936
Variance1.026245561
MonotonicityNot monotonic
2025-02-26T17:44:26.528227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3122
54.8%
2 504
 
8.9%
3 225
 
4.0%
4 102
 
1.8%
6 68
 
1.2%
5 63
 
1.1%
(Missing) 1608
28.3%
ValueCountFrequency (%)
1 3122
54.8%
2 504
 
8.9%
3 225
 
4.0%
4 102
 
1.8%
5 63
 
1.1%
ValueCountFrequency (%)
6 68
 
1.2%
5 63
 
1.1%
4 102
 
1.8%
3 225
4.0%
2 504
8.9%

w1_G02_7
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Pop or rock? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1611
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean2.448909581
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.564911image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.812510828
Coefficient of variation (CV)0.7401297468
Kurtosis-0.6969545961
Mean2.448909581
Median Absolute Deviation (MAD)0
Skewness0.8965312783
Sum9994
Variance3.285195502
MonotonicityNot monotonic
2025-02-26T17:44:26.602823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2057
36.1%
2 514
 
9.0%
6 492
 
8.6%
3 400
 
7.0%
4 333
 
5.9%
5 285
 
5.0%
(Missing) 1611
28.3%
ValueCountFrequency (%)
1 2057
36.1%
2 514
 
9.0%
3 400
 
7.0%
4 333
 
5.9%
5 285
 
5.0%
ValueCountFrequency (%)
6 492
8.6%
5 285
5.0%
4 333
5.9%
3 400
7.0%
2 514
9.0%

w1_G02_8
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Jazz or blues? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1620
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean1.653732809
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.638430image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.289544073
Coefficient of variation (CV)0.7797777643
Kurtosis3.422570939
Mean1.653732809
Median Absolute Deviation (MAD)0
Skewness2.086442044
Sum6734
Variance1.662923916
MonotonicityNot monotonic
2025-02-26T17:44:26.676708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2950
51.8%
2 423
 
7.4%
3 259
 
4.6%
4 181
 
3.2%
6 142
 
2.5%
5 117
 
2.1%
(Missing) 1620
28.5%
ValueCountFrequency (%)
1 2950
51.8%
2 423
 
7.4%
3 259
 
4.6%
4 181
 
3.2%
5 117
 
2.1%
ValueCountFrequency (%)
6 142
 
2.5%
5 117
 
2.1%
4 181
3.2%
3 259
4.6%
2 423
7.4%

w1_G02_9
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Folk music concert? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1631
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean1.483624723
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.714109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.116398264
Coefficient of variation (CV)0.7524802244
Kurtosis6.308600747
Mean1.483624723
Median Absolute Deviation (MAD)0
Skewness2.620616424
Sum6025
Variance1.246345085
MonotonicityNot monotonic
2025-02-26T17:44:26.752409image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3167
55.6%
2 406
 
7.1%
3 185
 
3.3%
4 116
 
2.0%
5 95
 
1.7%
6 92
 
1.6%
(Missing) 1631
28.7%
ValueCountFrequency (%)
1 3167
55.6%
2 406
 
7.1%
3 185
 
3.3%
4 116
 
2.0%
5 95
 
1.7%
ValueCountFrequency (%)
6 92
 
1.6%
5 95
 
1.7%
4 116
 
2.0%
3 185
3.3%
2 406
7.1%

w1_G02_10
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of World music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1648
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean1.587537092
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.789840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.264247213
Coefficient of variation (CV)0.7963575905
Kurtosis4.117153407
Mean1.587537092
Median Absolute Deviation (MAD)0
Skewness2.257265271
Sum6420
Variance1.598321016
MonotonicityNot monotonic
2025-02-26T17:44:26.828569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 3093
54.3%
2 323
 
5.7%
3 215
 
3.8%
4 164
 
2.9%
6 135
 
2.4%
5 114
 
2.0%
(Missing) 1648
29.0%
ValueCountFrequency (%)
1 3093
54.3%
2 323
 
5.7%
3 215
 
3.8%
4 164
 
2.9%
5 114
 
2.0%
ValueCountFrequency (%)
6 135
2.4%
5 114
 
2.0%
4 164
2.9%
3 215
3.8%
2 323
5.7%

w1_G02_11
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Urban (rap, hip-hop, trap)? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1631
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean2.012558483
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.865937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.631913827
Coefficient of variation (CV)0.8108652944
Kurtosis0.6115647762
Mean2.012558483
Median Absolute Deviation (MAD)0
Skewness1.429089271
Sum8173
Variance2.663142738
MonotonicityNot monotonic
2025-02-26T17:44:26.904878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2604
45.7%
2 415
 
7.3%
6 319
 
5.6%
3 274
 
4.8%
4 242
 
4.3%
5 207
 
3.6%
(Missing) 1631
28.7%
ValueCountFrequency (%)
1 2604
45.7%
2 415
 
7.3%
3 274
 
4.8%
4 242
 
4.3%
5 207
 
3.6%
ValueCountFrequency (%)
6 319
5.6%
5 207
3.6%
4 242
4.3%
3 274
4.8%
2 415
7.3%

w1_G02_12
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Dance or house? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1633
Missing (%)28.7%
Infinite0
Infinite (%)0.0%
Mean1.790835181
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:26.941262image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.41764379
Coefficient of variation (CV)0.7916104201
Kurtosis1.945911964
Mean1.790835181
Median Absolute Deviation (MAD)0
Skewness1.766182772
Sum7269
Variance2.009713915
MonotonicityNot monotonic
2025-02-26T17:44:27.049279image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2792
49.1%
2 416
 
7.3%
3 288
 
5.1%
4 212
 
3.7%
6 178
 
3.1%
5 173
 
3.0%
(Missing) 1633
28.7%
ValueCountFrequency (%)
1 2792
49.1%
2 416
 
7.3%
3 288
 
5.1%
4 212
 
3.7%
5 173
 
3.0%
ValueCountFrequency (%)
6 178
3.1%
5 173
3.0%
4 212
3.7%
3 288
5.1%
2 416
7.3%

w1_G02_13
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Popular national or local music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1625
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean1.670027047
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.085774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.226969471
Coefficient of variation (CV)0.7347003588
Kurtosis3.470993173
Mean1.670027047
Median Absolute Deviation (MAD)0
Skewness2.041826272
Sum6792
Variance1.505454082
MonotonicityNot monotonic
2025-02-26T17:44:27.123702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2765
48.6%
2 617
 
10.8%
3 291
 
5.1%
4 156
 
2.7%
5 132
 
2.3%
6 106
 
1.9%
(Missing) 1625
28.5%
ValueCountFrequency (%)
1 2765
48.6%
2 617
 
10.8%
3 291
 
5.1%
4 156
 
2.7%
5 132
 
2.3%
ValueCountFrequency (%)
6 106
 
1.9%
5 132
 
2.3%
4 156
 
2.7%
3 291
5.1%
2 617
10.8%

w1_G02_14
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A singer/songwriter? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1621
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean2.427659052
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.160787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.775097021
Coefficient of variation (CV)0.731197002
Kurtosis-0.65951801
Mean2.427659052
Median Absolute Deviation (MAD)1
Skewness0.8994289932
Sum9883
Variance3.150969433
MonotonicityNot monotonic
2025-02-26T17:44:27.198003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2035
35.8%
2 531
 
9.3%
6 429
 
7.5%
3 413
 
7.3%
4 342
 
6.0%
5 321
 
5.6%
(Missing) 1621
28.5%
ValueCountFrequency (%)
1 2035
35.8%
2 531
 
9.3%
3 413
 
7.3%
4 342
 
6.0%
5 321
 
5.6%
ValueCountFrequency (%)
6 429
7.5%
5 321
5.6%
4 342
6.0%
3 413
7.3%
2 531
9.3%

w1_G02_15
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of Other music? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1648
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean2.12537092
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.234450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.71961354
Coefficient of variation (CV)0.8090886741
Kurtosis0.07094344766
Mean2.12537092
Median Absolute Deviation (MAD)0
Skewness1.258990118
Sum8595
Variance2.957070726
MonotonicityNot monotonic
2025-02-26T17:44:27.272346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2522
44.3%
6 374
 
6.6%
2 357
 
6.3%
3 297
 
5.2%
5 248
 
4.4%
4 246
 
4.3%
(Missing) 1648
29.0%
ValueCountFrequency (%)
1 2522
44.3%
2 357
 
6.3%
3 297
 
5.2%
4 246
 
4.3%
5 248
 
4.4%
ValueCountFrequency (%)
6 374
6.6%
5 248
4.4%
4 246
4.3%
3 297
5.2%
2 357
6.3%

w1_G02_16
Real number (ℝ)

Missing 

How often did you follow, view and/or listen to the recordings of A sport events? (1) Never, (2) ... , (6) Very often

Distinct6
Distinct (%)0.1%
Missing1605
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean2.54465378
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.309202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.783126485
Coefficient of variation (CV)0.7007344175
Kurtosis-0.7197559484
Mean2.54465378
Median Absolute Deviation (MAD)1
Skewness0.8369876402
Sum10400
Variance3.17954006
MonotonicityNot monotonic
2025-02-26T17:44:27.349236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1788
31.4%
2 689
 
12.1%
6 509
 
8.9%
3 494
 
8.7%
4 337
 
5.9%
5 270
 
4.7%
(Missing) 1605
28.2%
ValueCountFrequency (%)
1 1788
31.4%
2 689
 
12.1%
3 494
 
8.7%
4 337
 
5.9%
5 270
 
4.7%
ValueCountFrequency (%)
6 509
8.9%
5 270
 
4.7%
4 337
5.9%
3 494
8.7%
2 689
12.1%

w1_G03_1
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1670
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean4.000497265
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.386610image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.424725614
Coefficient of variation (CV)0.3561371299
Kurtosis-0.4850186741
Mean4.000497265
Median Absolute Deviation (MAD)0
Skewness-1.041586226
Sum16090
Variance2.029843075
MonotonicityNot monotonic
2025-02-26T17:44:27.427901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 2452
43.1%
2 472
 
8.3%
1 386
 
6.8%
4 364
 
6.4%
3 348
 
6.1%
(Missing) 1670
29.3%
ValueCountFrequency (%)
1 386
 
6.8%
2 472
 
8.3%
3 348
 
6.1%
4 364
 
6.4%
5 2452
43.1%
ValueCountFrequency (%)
5 2452
43.1%
4 364
 
6.4%
3 348
 
6.1%
2 472
 
8.3%
1 386
 
6.8%

w1_G03_2
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1673
Missing (%)29.4%
Infinite0
Infinite (%)0.0%
Mean3.397362528
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.467467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.585493914
Coefficient of variation (CV)0.4666837586
Kurtosis-1.450335803
Mean3.397362528
Median Absolute Deviation (MAD)1
Skewness-0.3555963942
Sum13654
Variance2.513790951
MonotonicityNot monotonic
2025-02-26T17:44:27.508809image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1635
28.7%
1 801
14.1%
3 592
 
10.4%
2 531
 
9.3%
4 460
 
8.1%
(Missing) 1673
29.4%
ValueCountFrequency (%)
1 801
14.1%
2 531
 
9.3%
3 592
 
10.4%
4 460
 
8.1%
5 1635
28.7%
ValueCountFrequency (%)
5 1635
28.7%
4 460
 
8.1%
3 592
 
10.4%
2 531
 
9.3%
1 801
14.1%

w1_G03_3
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1682
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean4.575062344
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.548789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.119444932
Coefficient of variation (CV)0.2446840825
Kurtosis4.705163041
Mean4.575062344
Median Absolute Deviation (MAD)0
Skewness-2.505481232
Sum18346
Variance1.253156955
MonotonicityNot monotonic
2025-02-26T17:44:27.590734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3426
60.2%
1 258
 
4.5%
2 128
 
2.2%
4 108
 
1.9%
3 90
 
1.6%
(Missing) 1682
29.6%
ValueCountFrequency (%)
1 258
 
4.5%
2 128
 
2.2%
3 90
 
1.6%
4 108
 
1.9%
5 3426
60.2%
ValueCountFrequency (%)
5 3426
60.2%
4 108
 
1.9%
3 90
 
1.6%
2 128
 
2.2%
1 258
 
4.5%

w1_G03_4
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1678
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean4.169656203
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.631155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.383706414
Coefficient of variation (CV)0.3318514397
Kurtosis0.2884049085
Mean4.169656203
Median Absolute Deviation (MAD)0
Skewness-1.367847659
Sum16737
Variance1.91464344
MonotonicityNot monotonic
2025-02-26T17:44:27.671388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 2752
48.3%
1 393
 
6.9%
2 309
 
5.4%
4 286
 
5.0%
3 274
 
4.8%
(Missing) 1678
29.5%
ValueCountFrequency (%)
1 393
 
6.9%
2 309
 
5.4%
3 274
 
4.8%
4 286
 
5.0%
5 2752
48.3%
ValueCountFrequency (%)
5 2752
48.3%
4 286
 
5.0%
3 274
 
4.8%
2 309
 
5.4%
1 393
 
6.9%

w1_G03_5
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1678
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean4.542850025
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.711827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.159380833
Coefficient of variation (CV)0.2552100172
Kurtosis4.087068628
Mean4.542850025
Median Absolute Deviation (MAD)0
Skewness-2.384316784
Sum18235
Variance1.344163916
MonotonicityNot monotonic
2025-02-26T17:44:27.753164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3392
59.6%
1 290
 
5.1%
2 116
 
2.0%
3 111
 
2.0%
4 105
 
1.8%
(Missing) 1678
29.5%
ValueCountFrequency (%)
1 290
 
5.1%
2 116
 
2.0%
3 111
 
2.0%
4 105
 
1.8%
5 3392
59.6%
ValueCountFrequency (%)
5 3392
59.6%
4 105
 
1.8%
3 111
 
2.0%
2 116
 
2.0%
1 290
 
5.1%

w1_G03_6
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1682
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean4.749875312
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.794706image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9386420374
Coefficient of variation (CV)0.1976140374
Kurtosis11.25751046
Mean4.749875312
Median Absolute Deviation (MAD)0
Skewness-3.608553589
Sum19047
Variance0.8810488744
MonotonicityNot monotonic
2025-02-26T17:44:27.836210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3725
65.4%
1 216
 
3.8%
2 24
 
0.4%
4 23
 
0.4%
3 22
 
0.4%
(Missing) 1682
29.6%
ValueCountFrequency (%)
1 216
 
3.8%
2 24
 
0.4%
3 22
 
0.4%
4 23
 
0.4%
5 3725
65.4%
ValueCountFrequency (%)
5 3725
65.4%
4 23
 
0.4%
3 22
 
0.4%
2 24
 
0.4%
1 216
 
3.8%

w1_G03_7
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1680
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean4.698654038
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.878544image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9979626131
Coefficient of variation (CV)0.212393295
Kurtosis8.551139327
Mean4.698654038
Median Absolute Deviation (MAD)0
Skewness-3.194309619
Sum18851
Variance0.9959293772
MonotonicityNot monotonic
2025-02-26T17:44:27.920102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3640
63.9%
1 227
 
4.0%
2 57
 
1.0%
4 46
 
0.8%
3 42
 
0.7%
(Missing) 1680
29.5%
ValueCountFrequency (%)
1 227
 
4.0%
2 57
 
1.0%
3 42
 
0.7%
4 46
 
0.8%
5 3640
63.9%
ValueCountFrequency (%)
5 3640
63.9%
4 46
 
0.8%
3 42
 
0.7%
2 57
 
1.0%
1 227
 
4.0%

w1_G03_8
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1680
Missing (%)29.5%
Infinite0
Infinite (%)0.0%
Mean4.533399801
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:27.960611image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.153677137
Coefficient of variation (CV)0.2544838725
Kurtosis3.857384354
Mean4.533399801
Median Absolute Deviation (MAD)0
Skewness-2.328116414
Sum18188
Variance1.330970937
MonotonicityNot monotonic
2025-02-26T17:44:28.003387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3357
59.0%
1 267
 
4.7%
2 152
 
2.7%
4 124
 
2.2%
3 112
 
2.0%
(Missing) 1680
29.5%
ValueCountFrequency (%)
1 267
 
4.7%
2 152
 
2.7%
3 112
 
2.0%
4 124
 
2.2%
5 3357
59.0%
ValueCountFrequency (%)
5 3357
59.0%
4 124
 
2.2%
3 112
 
2.0%
2 152
 
2.7%
1 267
 
4.7%

w1_G03_9
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1688
Missing (%)29.7%
Infinite0
Infinite (%)0.0%
Mean4.5497003
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.043784image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.156837804
Coefficient of variation (CV)0.2542668149
Kurtosis4.097598978
Mean4.5497003
Median Absolute Deviation (MAD)0
Skewness-2.392958599
Sum18217
Variance1.338273705
MonotonicityNot monotonic
2025-02-26T17:44:28.086064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3409
59.9%
1 279
 
4.9%
2 138
 
2.4%
3 95
 
1.7%
4 83
 
1.5%
(Missing) 1688
29.7%
ValueCountFrequency (%)
1 279
 
4.9%
2 138
 
2.4%
3 95
 
1.7%
4 83
 
1.5%
5 3409
59.9%
ValueCountFrequency (%)
5 3409
59.9%
4 83
 
1.5%
3 95
 
1.7%
2 138
 
2.4%
1 279
 
4.9%

w1_G03_10
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1682
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean4.676309227
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.129432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.027903219
Coefficient of variation (CV)0.2198107886
Kurtosis7.684423465
Mean4.676309227
Median Absolute Deviation (MAD)0
Skewness-3.055394601
Sum18752
Variance1.056585028
MonotonicityNot monotonic
2025-02-26T17:44:28.172625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3605
63.3%
1 243
 
4.3%
2 57
 
1.0%
4 55
 
1.0%
3 50
 
0.9%
(Missing) 1682
29.6%
ValueCountFrequency (%)
1 243
 
4.3%
2 57
 
1.0%
3 50
 
0.9%
4 55
 
1.0%
5 3605
63.3%
ValueCountFrequency (%)
5 3605
63.3%
4 55
 
1.0%
3 50
 
0.9%
2 57
 
1.0%
1 243
 
4.3%

w1_G04_1
Real number (ℝ)

Missing 

During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1579
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean2.913688305
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.214189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.513104186
Coefficient of variation (CV)0.5193088715
Kurtosis-1.420557064
Mean2.913688305
Median Absolute Deviation (MAD)1
Skewness0.1165441026
Sum11984
Variance2.289484277
MonotonicityNot monotonic
2025-02-26T17:44:28.259874image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1054
18.5%
5 983
17.3%
3 779
13.7%
2 755
13.3%
4 542
 
9.5%
(Missing) 1579
27.7%
ValueCountFrequency (%)
1 1054
18.5%
2 755
13.3%
3 779
13.7%
4 542
9.5%
5 983
17.3%
ValueCountFrequency (%)
5 983
17.3%
4 542
9.5%
3 779
13.7%
2 755
13.3%
1 1054
18.5%

w1_G04_2
Real number (ℝ)

Missing 

During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1592
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean3.457804878
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.300776image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.488977165
Coefficient of variation (CV)0.4306134146
Kurtosis-1.331416522
Mean3.457804878
Median Absolute Deviation (MAD)1
Skewness-0.3752795293
Sum14177
Variance2.217052999
MonotonicityNot monotonic
2025-02-26T17:44:28.342304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1576
27.7%
2 692
12.2%
3 648
11.4%
4 595
 
10.5%
1 589
 
10.3%
(Missing) 1592
28.0%
ValueCountFrequency (%)
1 589
 
10.3%
2 692
12.2%
3 648
11.4%
4 595
 
10.5%
5 1576
27.7%
ValueCountFrequency (%)
5 1576
27.7%
4 595
 
10.5%
3 648
11.4%
2 692
12.2%
1 589
 
10.3%

w1_G04_3
Real number (ℝ)

Missing 

During the last year or so... Did you visit a museum in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1615
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean3.049300957
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.384211image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.38556721
Coefficient of variation (CV)0.4543884745
Kurtosis-1.237263325
Mean3.049300957
Median Absolute Deviation (MAD)1
Skewness0.04015533136
Sum12432
Variance1.919796494
MonotonicityNot monotonic
2025-02-26T17:44:28.424110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 952
16.7%
2 909
16.0%
5 901
15.8%
1 669
11.8%
4 646
 
11.3%
(Missing) 1615
28.4%
ValueCountFrequency (%)
1 669
11.8%
2 909
16.0%
3 952
16.7%
4 646
11.3%
5 901
15.8%
ValueCountFrequency (%)
5 901
15.8%
4 646
11.3%
3 952
16.7%
2 909
16.0%
1 669
11.8%

w1_G04_4
Real number (ℝ)

Missing 

During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1612
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean3.246078431
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.464225image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.452098367
Coefficient of variation (CV)0.4473392735
Kurtosis-1.357645844
Mean3.246078431
Median Absolute Deviation (MAD)1
Skewness-0.1466210459
Sum13244
Variance2.108589668
MonotonicityNot monotonic
2025-02-26T17:44:28.505162image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1226
21.5%
2 806
14.2%
3 800
14.1%
1 630
 
11.1%
4 618
 
10.9%
(Missing) 1612
28.3%
ValueCountFrequency (%)
1 630
11.1%
2 806
14.2%
3 800
14.1%
4 618
10.9%
5 1226
21.5%
ValueCountFrequency (%)
5 1226
21.5%
4 618
10.9%
3 800
14.1%
2 806
14.2%
1 630
11.1%

w1_G04_5
Real number (ℝ)

Missing 

During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1600
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean2.847751711
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.545512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.324620599
Coefficient of variation (CV)0.4651460988
Kurtosis-1.092294624
Mean2.847751711
Median Absolute Deviation (MAD)1
Skewness0.1471034518
Sum11653
Variance1.75461973
MonotonicityNot monotonic
2025-02-26T17:44:28.587026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 1043
18.3%
2 920
16.2%
1 810
14.2%
4 721
12.7%
5 598
 
10.5%
(Missing) 1600
28.1%
ValueCountFrequency (%)
1 810
14.2%
2 920
16.2%
3 1043
18.3%
4 721
12.7%
5 598
10.5%
ValueCountFrequency (%)
5 598
10.5%
4 721
12.7%
3 1043
18.3%
2 920
16.2%
1 810
14.2%

w1_G04_6
Real number (ℝ)

Missing 

During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1598
Missing (%)28.1%
Infinite0
Infinite (%)0.0%
Mean3.668050806
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.626851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.480542508
Coefficient of variation (CV)0.4036319524
Kurtosis-1.134191076
Mean3.668050806
Median Absolute Deviation (MAD)1
Skewness-0.6139015898
Sum15017
Variance2.192006119
MonotonicityNot monotonic
2025-02-26T17:44:28.669210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1899
33.4%
2 594
 
10.4%
4 557
 
9.8%
3 531
 
9.3%
1 513
 
9.0%
(Missing) 1598
28.1%
ValueCountFrequency (%)
1 513
 
9.0%
2 594
 
10.4%
3 531
 
9.3%
4 557
 
9.8%
5 1899
33.4%
ValueCountFrequency (%)
5 1899
33.4%
4 557
 
9.8%
3 531
 
9.3%
2 594
 
10.4%
1 513
 
9.0%

w1_G04_7
Real number (ℝ)

Missing 

During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1610
Missing (%)28.3%
Infinite0
Infinite (%)0.0%
Mean4.502939735
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.709800image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.148863978
Coefficient of variation (CV)0.2551364321
Kurtosis3.451981047
Mean4.502939735
Median Absolute Deviation (MAD)0
Skewness-2.213561418
Sum18381
Variance1.31988844
MonotonicityNot monotonic
2025-02-26T17:44:28.751410image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3307
58.1%
1 254
 
4.5%
4 196
 
3.4%
2 167
 
2.9%
3 158
 
2.8%
(Missing) 1610
28.3%
ValueCountFrequency (%)
1 254
 
4.5%
2 167
 
2.9%
3 158
 
2.8%
4 196
 
3.4%
5 3307
58.1%
ValueCountFrequency (%)
5 3307
58.1%
4 196
 
3.4%
3 158
 
2.8%
2 167
 
2.9%
1 254
 
4.5%

w1_G04_8
Real number (ℝ)

Missing 

During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1595
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean3.337808152
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.791548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.439915898
Coefficient of variation (CV)0.4313956441
Kurtosis-1.334839057
Mean3.337808152
Median Absolute Deviation (MAD)1
Skewness-0.2160293996
Sum13675
Variance2.073357792
MonotonicityNot monotonic
2025-02-26T17:44:28.833013image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1339
23.5%
2 802
14.1%
3 801
14.1%
4 606
 
10.6%
1 549
 
9.6%
(Missing) 1595
28.0%
ValueCountFrequency (%)
1 549
9.6%
2 802
14.1%
3 801
14.1%
4 606
10.6%
5 1339
23.5%
ValueCountFrequency (%)
5 1339
23.5%
4 606
10.6%
3 801
14.1%
2 802
14.1%
1 549
9.6%

w1_G04_9
Real number (ℝ)

Missing 

During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1591
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean4.418678371
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.875636image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.195125183
Coefficient of variation (CV)0.2704711869
Kurtosis2.15716512
Mean4.418678371
Median Absolute Deviation (MAD)0
Skewness-1.90403557
Sum18121
Variance1.428324204
MonotonicityNot monotonic
2025-02-26T17:44:28.916747image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 3155
55.4%
2 274
 
4.8%
4 260
 
4.6%
1 239
 
4.2%
3 173
 
3.0%
(Missing) 1591
28.0%
ValueCountFrequency (%)
1 239
 
4.2%
2 274
 
4.8%
3 173
 
3.0%
4 260
 
4.6%
5 3155
55.4%
ValueCountFrequency (%)
5 3155
55.4%
4 260
 
4.6%
3 173
 
3.0%
2 274
 
4.8%
1 239
 
4.2%

w1_G04_10
Real number (ℝ)

Missing 

During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.1%
Missing1591
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean3.724945135
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:28.957919image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.42672558
Coefficient of variation (CV)0.38301922
Kurtosis-1.098705665
Mean3.724945135
Median Absolute Deviation (MAD)1
Skewness-0.6175855733
Sum15276
Variance2.035545881
MonotonicityNot monotonic
2025-02-26T17:44:28.997618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 1946
34.2%
2 675
 
11.9%
3 581
 
10.2%
4 518
 
9.1%
1 381
 
6.7%
(Missing) 1591
28.0%
ValueCountFrequency (%)
1 381
 
6.7%
2 675
 
11.9%
3 581
 
10.2%
4 518
 
9.1%
5 1946
34.2%
ValueCountFrequency (%)
5 1946
34.2%
4 518
 
9.1%
3 581
 
10.2%
2 675
 
11.9%
1 381
 
6.7%

w1_G05_1
Real number (ℝ)

Missing 

During the last year or so... How often did you visit a bookshop in your own country or abroad? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)0.1%
Missing1647
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.625216316
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:29.037622image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.758955321
Coefficient of variation (CV)0.4852001005
Kurtosis-1.345155232
Mean3.625216316
Median Absolute Deviation (MAD)1
Skewness0.0658561351
Sum14664
Variance3.093923822
MonotonicityNot monotonic
2025-02-26T17:44:29.076485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 1008
17.7%
2 794
13.9%
3 758
13.3%
4 571
 
10.0%
1 525
 
9.2%
5 389
 
6.8%
(Missing) 1647
28.9%
ValueCountFrequency (%)
1 525
9.2%
2 794
13.9%
3 758
13.3%
4 571
10.0%
5 389
6.8%
ValueCountFrequency (%)
6 1008
17.7%
5 389
 
6.8%
4 571
10.0%
3 758
13.3%
2 794
13.9%

w1_G05_2
Real number (ℝ)

Missing 

During the last year or so... How often did you visit an online bookshop and/or search for literature and other material available in a library on the internet? 1. Never, 2., 3., 4., 5., 6. Very often

Distinct6
Distinct (%)0.1%
Missing1652
Missing (%)29.0%
Infinite0
Infinite (%)0.0%
Mean3.817574257
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:29.112948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.751351632
Coefficient of variation (CV)0.4587603316
Kurtosis-1.319855063
Mean3.817574257
Median Absolute Deviation (MAD)2
Skewness-0.1294155031
Sum15423
Variance3.06723254
MonotonicityNot monotonic
2025-02-26T17:44:29.151681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 1104
19.4%
3 675
11.9%
2 651
 
11.4%
4 646
 
11.3%
1 483
 
8.5%
5 481
 
8.5%
(Missing) 1652
29.0%
ValueCountFrequency (%)
1 483
8.5%
2 651
11.4%
3 675
11.9%
4 646
11.3%
5 481
8.5%
ValueCountFrequency (%)
6 1104
19.4%
5 481
8.5%
4 646
11.3%
3 675
11.9%
2 651
11.4%

w1_G06
Real number (ℝ)

Missing 

Approximately, how many books (printed or eBook) do you have where you live? 1. None 2. 1-25 3. 26-50 4. 51-100 5. 101-200 6. 201-400 7. More than 400

Distinct7
Distinct (%)0.2%
Missing1740
Missing (%)30.6%
Infinite0
Infinite (%)0.0%
Mean4.210273279
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:29.185848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7692974
Coefficient of variation (CV)0.4202333869
Kurtosis-1.22256789
Mean4.210273279
Median Absolute Deviation (MAD)2
Skewness0.118512465
Sum16639
Variance3.130413289
MonotonicityNot monotonic
2025-02-26T17:44:29.221530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 896
15.7%
4 681
 
12.0%
5 634
 
11.1%
3 573
 
10.1%
6 552
 
9.7%
7 551
 
9.7%
1 65
 
1.1%
(Missing) 1740
30.6%
ValueCountFrequency (%)
1 65
 
1.1%
2 896
15.7%
3 573
10.1%
4 681
12.0%
5 634
11.1%
ValueCountFrequency (%)
7 551
9.7%
6 552
9.7%
5 634
11.1%
4 681
12.0%
3 573
10.1%

w1_G07_1
Real number (ℝ)

Missing 

During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.1%
Missing1700
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean1.148296593
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:29.259576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3554382661
Coefficient of variation (CV)0.309535244
Kurtosis1.921269075
Mean1.148296593
Median Absolute Deviation (MAD)0
Skewness1.979976456
Sum4584
Variance0.126336361
MonotonicityNot monotonic
2025-02-26T17:44:29.298289image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 3400
59.7%
2 592
 
10.4%
(Missing) 1700
29.9%
ValueCountFrequency (%)
1 3400
59.7%
2 592
 
10.4%
ValueCountFrequency (%)
2 592
 
10.4%
1 3400
59.7%

w1_G07_2
Real number (ℝ)

Missing 

During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.1%
Missing1700
Missing (%)29.9%
Infinite0
Infinite (%)0.0%
Mean1.587925852
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:29.335866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4922699955
Coefficient of variation (CV)0.3100081751
Kurtosis-1.873200261
Mean1.587925852
Median Absolute Deviation (MAD)0
Skewness-0.3574051867
Sum6339
Variance0.2423297484
MonotonicityNot monotonic
2025-02-26T17:44:29.446171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2347
41.2%
1 1645
28.9%
(Missing) 1700
29.9%
ValueCountFrequency (%)
1 1645
28.9%
2 2347
41.2%
ValueCountFrequency (%)
2 2347
41.2%
1 1645
28.9%

w1_G08_1
Boolean

Which kind of books did you read? (tick all that apply): Literature & Novels

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
2990 
True
2702 
ValueCountFrequency (%)
False 2990
52.5%
True 2702
47.5%
2025-02-26T17:44:29.480998image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_2
Boolean

Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
4618 
True
1074 
ValueCountFrequency (%)
False 4618
81.1%
True 1074
 
18.9%
2025-02-26T17:44:29.512858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_3
Boolean

Which kind of books did you read? (tick all that apply): Mystery & Thrillers

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
4819 
True
873 
ValueCountFrequency (%)
False 4819
84.7%
True 873
 
15.3%
2025-02-26T17:44:29.543975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_4
Boolean

Which kind of books did you read? (tick all that apply): History

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
4757 
True
935 
ValueCountFrequency (%)
False 4757
83.6%
True 935
 
16.4%
2025-02-26T17:44:29.575125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_5
Boolean

Which kind of books did you read? (tick all that apply): Biographies

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
4947 
True
745 
ValueCountFrequency (%)
False 4947
86.9%
True 745
 
13.1%
2025-02-26T17:44:29.606913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_6
Boolean

Imbalance 

Which kind of books did you read? (tick all that apply): Health, Mind & Body

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
5119 
True
573 
ValueCountFrequency (%)
False 5119
89.9%
True 573
 
10.1%
2025-02-26T17:44:29.638132image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_7
Boolean

Which kind of books did you read? (tick all that apply): Other kind of books

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
False
4392 
True
1300 
ValueCountFrequency (%)
False 4392
77.2%
True 1300
 
22.8%
2025-02-26T17:44:29.670264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G09
Real number (ℝ)

Missing 

In the last year or so, approximately how many books have you read (not for study)? |__|__|

Distinct52
Distinct (%)1.6%
Missing2468
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean9.10235732
Minimum0
Maximum300
Zeros34
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:29.710407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q310
95-th percentile27.85
Maximum300
Range300
Interquartile range (IQR)7

Descriptive statistics

Standard deviation16.31690715
Coefficient of variation (CV)1.792602353
Kurtosis143.2565817
Mean9.10235732
Median Absolute Deviation (MAD)3
Skewness10.03460548
Sum29346
Variance266.2414589
MonotonicityNot monotonic
2025-02-26T17:44:29.762625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 477
 
8.4%
5 412
 
7.2%
2 393
 
6.9%
10 366
 
6.4%
4 324
 
5.7%
6 202
 
3.5%
15 155
 
2.7%
20 145
 
2.5%
1 141
 
2.5%
7 128
 
2.2%
Other values (42) 481
 
8.5%
(Missing) 2468
43.4%
ValueCountFrequency (%)
0 34
 
0.6%
1 141
 
2.5%
2 393
6.9%
3 477
8.4%
4 324
5.7%
ValueCountFrequency (%)
300 3
0.1%
250 1
 
< 0.1%
236 1
 
< 0.1%
200 3
0.1%
150 2
< 0.1%

w1_G10_1
Real number (ℝ)

Missing 

Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.2%
Missing1759
Missing (%)30.9%
Infinite0
Infinite (%)0.0%
Mean4.425375032
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:29.805607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.550386981
Coefficient of variation (CV)0.3503402467
Kurtosis-1.044569624
Mean4.425375032
Median Absolute Deviation (MAD)1
Skewness-0.538640689
Sum17405
Variance2.403699789
MonotonicityNot monotonic
2025-02-26T17:44:29.845120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 1414
24.8%
5 849
14.9%
3 710
12.5%
2 467
 
8.2%
4 373
 
6.6%
1 120
 
2.1%
(Missing) 1759
30.9%
ValueCountFrequency (%)
1 120
 
2.1%
2 467
8.2%
3 710
12.5%
4 373
6.6%
5 849
14.9%
ValueCountFrequency (%)
6 1414
24.8%
5 849
14.9%
4 373
 
6.6%
3 710
12.5%
2 467
 
8.2%

w1_G10_2
Real number (ℝ)

Missing 

Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.2%
Missing1765
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean4.007384772
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:29.882876image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.828398958
Coefficient of variation (CV)0.4562574004
Kurtosis-1.445886759
Mean4.007384772
Median Absolute Deviation (MAD)2
Skewness-0.2668225727
Sum15737
Variance3.343042751
MonotonicityNot monotonic
2025-02-26T17:44:29.922847image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 1354
23.8%
2 693
 
12.2%
3 589
 
10.3%
5 559
 
9.8%
1 421
 
7.4%
4 311
 
5.5%
(Missing) 1765
31.0%
ValueCountFrequency (%)
1 421
7.4%
2 693
12.2%
3 589
10.3%
4 311
5.5%
5 559
9.8%
ValueCountFrequency (%)
6 1354
23.8%
5 559
9.8%
4 311
 
5.5%
3 589
10.3%
2 693
12.2%

w1_G10_3
Real number (ℝ)

Missing 

Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.2%
Missing1774
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean4.385145482
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:29.959932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.591063205
Coefficient of variation (CV)0.3628301982
Kurtosis-1.136924825
Mean4.385145482
Median Absolute Deviation (MAD)1
Skewness-0.4860239872
Sum17181
Variance2.531482121
MonotonicityNot monotonic
2025-02-26T17:44:29.999596image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 1460
25.7%
3 742
13.0%
5 720
12.6%
2 486
 
8.5%
4 371
 
6.5%
1 139
 
2.4%
(Missing) 1774
31.2%
ValueCountFrequency (%)
1 139
 
2.4%
2 486
8.5%
3 742
13.0%
4 371
6.5%
5 720
12.6%
ValueCountFrequency (%)
6 1460
25.7%
5 720
12.6%
4 371
 
6.5%
3 742
13.0%
2 486
 
8.5%

w1_G10_4
Real number (ℝ)

Missing 

Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.2%
Missing1760
Missing (%)30.9%
Infinite0
Infinite (%)0.0%
Mean3.322736521
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:30.036762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.900035972
Coefficient of variation (CV)0.5718286601
Kurtosis-1.454788836
Mean3.322736521
Median Absolute Deviation (MAD)2
Skewness0.2839470339
Sum13065
Variance3.610136697
MonotonicityNot monotonic
2025-02-26T17:44:30.076140image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 959
16.8%
2 945
16.6%
1 826
14.5%
3 579
 
10.2%
5 366
 
6.4%
4 257
 
4.5%
(Missing) 1760
30.9%
ValueCountFrequency (%)
1 826
14.5%
2 945
16.6%
3 579
10.2%
4 257
 
4.5%
5 366
 
6.4%
ValueCountFrequency (%)
6 959
16.8%
5 366
 
6.4%
4 257
 
4.5%
3 579
10.2%
2 945
16.6%

w1_G11_1
Real number (ℝ)

Missing 

Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.1%
Missing1752
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean1.84213198
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:30.112339image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9377429233
Coefficient of variation (CV)0.5090530611
Kurtosis1.658623606
Mean1.84213198
Median Absolute Deviation (MAD)1
Skewness1.292456585
Sum7258
Variance0.8793617901
MonotonicityNot monotonic
2025-02-26T17:44:30.153148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1655
29.1%
2 1599
28.1%
3 429
 
7.5%
4 167
 
2.9%
5 90
 
1.6%
(Missing) 1752
30.8%
ValueCountFrequency (%)
1 1655
29.1%
2 1599
28.1%
3 429
 
7.5%
4 167
 
2.9%
5 90
 
1.6%
ValueCountFrequency (%)
5 90
 
1.6%
4 167
 
2.9%
3 429
 
7.5%
2 1599
28.1%
1 1655
29.1%

w1_G11_2
Real number (ℝ)

Missing 

Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.1%
Missing1757
Missing (%)30.9%
Infinite0
Infinite (%)0.0%
Mean4.165946633
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:30.193975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.215749558
Coefficient of variation (CV)0.2918303245
Kurtosis0.2886507321
Mean4.165946633
Median Absolute Deviation (MAD)0
Skewness-1.253935178
Sum16393
Variance1.478046987
MonotonicityNot monotonic
2025-02-26T17:44:30.233542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 2363
41.5%
4 612
 
10.8%
2 400
 
7.0%
3 385
 
6.8%
1 175
 
3.1%
(Missing) 1757
30.9%
ValueCountFrequency (%)
1 175
 
3.1%
2 400
 
7.0%
3 385
 
6.8%
4 612
 
10.8%
5 2363
41.5%
ValueCountFrequency (%)
5 2363
41.5%
4 612
 
10.8%
3 385
 
6.8%
2 400
 
7.0%
1 175
 
3.1%

w1_H01f
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)0.3%
Missing1751
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean3.866277595
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:30.274488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q36
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.954983758
Coefficient of variation (CV)0.5056501274
Kurtosis0.4751957491
Mean3.866277595
Median Absolute Deviation (MAD)1
Skewness1.113891589
Sum15237
Variance3.821961496
MonotonicityNot monotonic
2025-02-26T17:44:30.312666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 1742
30.6%
2 790
13.9%
6 686
 
12.1%
4 175
 
3.1%
7 142
 
2.5%
8 121
 
2.1%
5 96
 
1.7%
1 73
 
1.3%
9 60
 
1.1%
10 56
 
1.0%
(Missing) 1751
30.8%
ValueCountFrequency (%)
1 73
 
1.3%
2 790
13.9%
3 1742
30.6%
4 175
 
3.1%
5 96
 
1.7%
ValueCountFrequency (%)
10 56
 
1.0%
9 60
 
1.1%
8 121
 
2.1%
7 142
 
2.5%
6 686
12.1%

w1_H01f_other
Text

Missing 

Which is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____

Distinct50
Distinct (%)90.9%
Missing5637
Missing (%)99.0%
Memory size46.8 KiB
2025-02-26T17:44:30.435310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length66
Median length40
Mean length28.38181818
Min length2

Characters and Unicode

Total characters1561
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)83.6%

Sample

1st rowDiploma al conservatorio
2nd rowNessuno
3rd rowQualifica di 3 superiore
4th rowDiploma di scuola media superiore (2 anni)
5th rowdiploma di musica - pianoforte
ValueCountFrequency (%)
professionale 23
 
10.7%
diploma 21
 
9.8%
di 17
 
7.9%
scuola 17
 
7.9%
3 15
 
7.0%
anni 15
 
7.0%
superiore 9
 
4.2%
media 6
 
2.8%
qualifica 4
 
1.9%
conservatorio 4
 
1.9%
Other values (67) 83
38.8%
2025-02-26T17:44:30.621545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 167
10.7%
159
10.2%
a 154
9.9%
o 145
 
9.3%
e 134
 
8.6%
s 99
 
6.3%
l 88
 
5.6%
r 86
 
5.5%
n 85
 
5.4%
p 60
 
3.8%
Other values (34) 384
24.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1561
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 167
10.7%
159
10.2%
a 154
9.9%
o 145
 
9.3%
e 134
 
8.6%
s 99
 
6.3%
l 88
 
5.6%
r 86
 
5.5%
n 85
 
5.4%
p 60
 
3.8%
Other values (34) 384
24.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1561
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 167
10.7%
159
10.2%
a 154
9.9%
o 145
 
9.3%
e 134
 
8.6%
s 99
 
6.3%
l 88
 
5.6%
r 86
 
5.5%
n 85
 
5.4%
p 60
 
3.8%
Other values (34) 384
24.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1561
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 167
10.7%
159
10.2%
a 154
9.9%
o 145
 
9.3%
e 134
 
8.6%
s 99
 
6.3%
l 88
 
5.6%
r 86
 
5.5%
n 85
 
5.4%
p 60
 
3.8%
Other values (34) 384
24.6%

w1_H01m
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)0.3%
Missing1750
Missing (%)30.7%
Infinite0
Infinite (%)0.0%
Mean3.982749873
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:30.670629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q36
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.863035845
Coefficient of variation (CV)0.4677762613
Kurtosis0.4054786409
Mean3.982749873
Median Absolute Deviation (MAD)1
Skewness1.026252743
Sum15700
Variance3.470902561
MonotonicityNot monotonic
2025-02-26T17:44:30.708922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 1737
30.5%
6 760
13.4%
2 598
 
10.5%
4 327
 
5.7%
7 129
 
2.3%
5 128
 
2.2%
8 119
 
2.1%
1 52
 
0.9%
10 50
 
0.9%
9 42
 
0.7%
(Missing) 1750
30.7%
ValueCountFrequency (%)
1 52
 
0.9%
2 598
 
10.5%
3 1737
30.5%
4 327
 
5.7%
5 128
 
2.2%
ValueCountFrequency (%)
10 50
 
0.9%
9 42
 
0.7%
8 119
 
2.1%
7 129
 
2.3%
6 760
13.4%

w1_H01m_other
Text

Missing 

Which is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____

Distinct47
Distinct (%)95.9%
Missing5643
Missing (%)99.1%
Memory size46.8 KiB
2025-02-26T17:44:30.840289image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length127
Median length43
Mean length32.10204082
Min length2

Characters and Unicode

Total characters1573
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)93.9%

Sample

1st rowmaster
2nd rowDiploma di scuola media superiore (2 anni)
3rd rowDiploma di scuola media superiore professionale (3 anni)
4th rowLicenza superiore di 3 anni
5th rowDoppia laurea (una triennale e una aciclo unico)
ValueCountFrequency (%)
di 18
 
8.5%
diploma 17
 
8.0%
scuola 15
 
7.0%
professionale 13
 
6.1%
superiore 11
 
5.2%
anni 11
 
5.2%
3 10
 
4.7%
media 6
 
2.8%
qualifica 5
 
2.3%
laurea 5
 
2.3%
Other values (81) 102
47.9%
2025-02-26T17:44:31.038223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 169
10.7%
164
 
10.4%
a 153
 
9.7%
e 136
 
8.6%
o 131
 
8.3%
s 91
 
5.8%
n 90
 
5.7%
r 87
 
5.5%
l 77
 
4.9%
c 59
 
3.8%
Other values (44) 416
26.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1573
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 169
10.7%
164
 
10.4%
a 153
 
9.7%
e 136
 
8.6%
o 131
 
8.3%
s 91
 
5.8%
n 90
 
5.7%
r 87
 
5.5%
l 77
 
4.9%
c 59
 
3.8%
Other values (44) 416
26.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1573
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 169
10.7%
164
 
10.4%
a 153
 
9.7%
e 136
 
8.6%
o 131
 
8.3%
s 91
 
5.8%
n 90
 
5.7%
r 87
 
5.5%
l 77
 
4.9%
c 59
 
3.8%
Other values (44) 416
26.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1573
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 169
10.7%
164
 
10.4%
a 153
 
9.7%
e 136
 
8.6%
o 131
 
8.3%
s 91
 
5.8%
n 90
 
5.7%
r 87
 
5.5%
l 77
 
4.9%
c 59
 
3.8%
Other values (44) 416
26.4%

w1_H01fLSE
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_H01mLSE
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_H02f
Real number (ℝ)

Missing 

When you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)0.2%
Missing1732
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean1.912373737
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:31.086530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.78474024
Coefficient of variation (CV)0.9332591244
Kurtosis6.783782575
Mean1.912373737
Median Absolute Deviation (MAD)0
Skewness2.733407074
Sum7573
Variance3.185297723
MonotonicityNot monotonic
2025-02-26T17:44:31.126708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 2304
40.5%
2 1156
20.3%
3 164
 
2.9%
8 111
 
2.0%
9 71
 
1.2%
7 64
 
1.1%
6 44
 
0.8%
5 42
 
0.7%
4 4
 
0.1%
(Missing) 1732
30.4%
ValueCountFrequency (%)
1 2304
40.5%
2 1156
20.3%
3 164
 
2.9%
4 4
 
0.1%
5 42
 
0.7%
ValueCountFrequency (%)
9 71
1.2%
8 111
2.0%
7 64
1.1%
6 44
 
0.8%
5 42
 
0.7%

w1_H03af
Real number (ℝ)

Missing 

More precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct19
Distinct (%)0.8%
Missing3255
Missing (%)57.2%
Infinite0
Infinite (%)0.0%
Mean9.66885515
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:31.166351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median9
Q314
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.327907985
Coefficient of variation (CV)0.5510381428
Kurtosis-1.1403894
Mean9.66885515
Median Absolute Deviation (MAD)4
Skewness0.03915900163
Sum23563
Variance28.38660349
MonotonicityNot monotonic
2025-02-26T17:44:31.206606image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
7 431
 
7.6%
13 377
 
6.6%
14 245
 
4.3%
2 242
 
4.3%
3 236
 
4.1%
9 144
 
2.5%
19 136
 
2.4%
17 101
 
1.8%
12 99
 
1.7%
18 92
 
1.6%
Other values (9) 334
 
5.9%
(Missing) 3255
57.2%
ValueCountFrequency (%)
1 55
 
1.0%
2 242
4.3%
3 236
4.1%
4 14
 
0.2%
5 64
 
1.1%
ValueCountFrequency (%)
19 136
2.4%
18 92
1.6%
17 101
1.8%
16 24
 
0.4%
15 25
 
0.4%

w1_H03af_other
Text

Missing 

More precisely he or guardian is/was an….? Answer: Other, please specify: _____

Distinct87
Distinct (%)92.6%
Missing5598
Missing (%)98.3%
Memory size46.9 KiB
2025-02-26T17:44:31.365185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length52
Median length30
Mean length17.87234043
Min length3

Characters and Unicode

Total characters1680
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)85.1%

Sample

1st rowPolizia Locale
2nd rowtecnico agrario
3rd rowProgrammatore
4th rowImpiegato in una ditta che vende strumenti idraulici
5th rowInfermiere
ValueCountFrequency (%)
di 8
 
4.0%
impiegato 6
 
3.0%
commerciale 5
 
2.5%
dirigente 5
 
2.5%
direttore 5
 
2.5%
in 4
 
2.0%
infermiere 3
 
1.5%
sindacalista 3
 
1.5%
autista 3
 
1.5%
tecnico 3
 
1.5%
Other values (112) 153
77.3%
2025-02-26T17:44:31.584633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 190
11.3%
i 180
10.7%
a 177
10.5%
o 143
 
8.5%
r 120
 
7.1%
t 118
 
7.0%
104
 
6.2%
n 91
 
5.4%
c 87
 
5.2%
s 77
 
4.6%
Other values (30) 393
23.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1680
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 190
11.3%
i 180
10.7%
a 177
10.5%
o 143
 
8.5%
r 120
 
7.1%
t 118
 
7.0%
104
 
6.2%
n 91
 
5.4%
c 87
 
5.2%
s 77
 
4.6%
Other values (30) 393
23.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1680
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 190
11.3%
i 180
10.7%
a 177
10.5%
o 143
 
8.5%
r 120
 
7.1%
t 118
 
7.0%
104
 
6.2%
n 91
 
5.4%
c 87
 
5.2%
s 77
 
4.6%
Other values (30) 393
23.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1680
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 190
11.3%
i 180
10.7%
a 177
10.5%
o 143
 
8.5%
r 120
 
7.1%
t 118
 
7.0%
104
 
6.2%
n 91
 
5.4%
c 87
 
5.2%
s 77
 
4.6%
Other values (30) 393
23.4%

w1_H03bf
Real number (ℝ)

Missing 

w1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct16
Distinct (%)1.4%
Missing4545
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean5.406277245
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:31.633283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile14
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.089513142
Coefficient of variation (CV)0.571467759
Kurtosis4.132226957
Mean5.406277245
Median Absolute Deviation (MAD)1
Skewness2.022473578
Sum6201
Variance9.545091452
MonotonicityNot monotonic
2025-02-26T17:44:31.673901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 432
 
7.6%
5 268
 
4.7%
6 167
 
2.9%
2 84
 
1.5%
16 35
 
0.6%
1 30
 
0.5%
10 28
 
0.5%
8 24
 
0.4%
9 18
 
0.3%
14 17
 
0.3%
Other values (6) 44
 
0.8%
(Missing) 4545
79.8%
ValueCountFrequency (%)
1 30
 
0.5%
2 84
 
1.5%
3 5
 
0.1%
4 432
7.6%
5 268
4.7%
ValueCountFrequency (%)
16 35
0.6%
15 15
0.3%
14 17
0.3%
13 6
 
0.1%
12 9
 
0.2%

w1_H03bf_other
Text

Missing 

w1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____

Distinct29
Distinct (%)93.5%
Missing5661
Missing (%)99.5%
Memory size45.9 KiB
2025-02-26T17:44:31.783663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length50
Median length25
Mean length19.35483871
Min length4

Characters and Unicode

Total characters600
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st rowEsercente
2nd rowdipendente concessionario
3rd rowChef
4th rowrivenditore online
5th rowCommerciante
ValueCountFrequency (%)
di 8
 
10.5%
imprenditore 6
 
7.9%
commerciante 3
 
3.9%
agente 3
 
3.9%
commercio 3
 
3.9%
proprietario 2
 
2.6%
rappresentante 2
 
2.6%
un 2
 
2.6%
esercente 1
 
1.3%
dipendente 1
 
1.3%
Other values (45) 45
59.2%
2025-02-26T17:44:31.947353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 79
13.2%
r 59
9.8%
i 55
9.2%
o 51
 
8.5%
a 45
 
7.5%
45
 
7.5%
t 42
 
7.0%
n 36
 
6.0%
c 29
 
4.8%
m 28
 
4.7%
Other values (23) 131
21.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 600
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 79
13.2%
r 59
9.8%
i 55
9.2%
o 51
 
8.5%
a 45
 
7.5%
45
 
7.5%
t 42
 
7.0%
n 36
 
6.0%
c 29
 
4.8%
m 28
 
4.7%
Other values (23) 131
21.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 600
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 79
13.2%
r 59
9.8%
i 55
9.2%
o 51
 
8.5%
a 45
 
7.5%
45
 
7.5%
t 42
 
7.0%
n 36
 
6.0%
c 29
 
4.8%
m 28
 
4.7%
Other values (23) 131
21.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 600
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 79
13.2%
r 59
9.8%
i 55
9.2%
o 51
 
8.5%
a 45
 
7.5%
45
 
7.5%
t 42
 
7.0%
n 36
 
6.0%
c 29
 
4.8%
m 28
 
4.7%
Other values (23) 131
21.8%

w1_H02m
Real number (ℝ)

Missing 

When you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)0.2%
Missing1732
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean2.116666667
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:31.994766image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.880363424
Coefficient of variation (CV)0.8883606729
Kurtosis3.211040016
Mean2.116666667
Median Absolute Deviation (MAD)0
Skewness1.897824091
Sum8382
Variance3.535766608
MonotonicityNot monotonic
2025-02-26T17:44:32.035707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 2514
44.2%
4 751
 
13.2%
2 421
 
7.4%
8 119
 
2.1%
6 65
 
1.1%
9 57
 
1.0%
7 14
 
0.2%
3 13
 
0.2%
5 6
 
0.1%
(Missing) 1732
30.4%
ValueCountFrequency (%)
1 2514
44.2%
2 421
 
7.4%
3 13
 
0.2%
4 751
 
13.2%
5 6
 
0.1%
ValueCountFrequency (%)
9 57
1.0%
8 119
2.1%
7 14
 
0.2%
6 65
1.1%
5 6
 
0.1%

w1_H03am
Real number (ℝ)

Missing 

More precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct19
Distinct (%)0.8%
Missing3194
Missing (%)56.1%
Infinite0
Infinite (%)0.0%
Mean8.774219376
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:32.076145image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median7
Q311
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.614695916
Coefficient of variation (CV)0.5259380599
Kurtosis-0.0002698735091
Mean8.774219376
Median Absolute Deviation (MAD)2
Skewness0.8390533885
Sum21918
Variance21.29541839
MonotonicityNot monotonic
2025-02-26T17:44:32.116250image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
7 466
 
8.2%
6 337
 
5.9%
8 260
 
4.6%
11 198
 
3.5%
3 188
 
3.3%
19 177
 
3.1%
9 166
 
2.9%
5 149
 
2.6%
10 106
 
1.9%
2 97
 
1.7%
Other values (9) 354
 
6.2%
(Missing) 3194
56.1%
ValueCountFrequency (%)
1 26
 
0.5%
2 97
1.7%
3 188
3.3%
4 7
 
0.1%
5 149
2.6%
ValueCountFrequency (%)
19 177
3.1%
18 55
 
1.0%
17 73
1.3%
16 11
 
0.2%
15 25
 
0.4%

w1_H03am_other
Text

Missing 

More precisely she or guardian is/was an….? Answer: Other, please specify: _____

Distinct99
Distinct (%)81.8%
Missing5571
Missing (%)97.9%
Memory size47.7 KiB
2025-02-26T17:44:32.301103image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length79
Median length40
Mean length20.61157025
Min length3

Characters and Unicode

Total characters2494
Distinct characters46
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)74.4%

Sample

1st rowInsegnante di danza
2nd rowAssistente sanitaria
3rd rowPubblica dipendente
4th rowFarmacista
5th rowcollaboratrice domestica
ValueCountFrequency (%)
di 19
 
6.3%
infermiera 16
 
5.3%
sanitaria 14
 
4.6%
socio 13
 
4.3%
in 10
 
3.3%
operatrice 9
 
3.0%
assistente 9
 
3.0%
sanitario 6
 
2.0%
oss 5
 
1.7%
operatore 5
 
1.7%
Other values (147) 197
65.0%
2025-02-26T17:44:32.630313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 300
12.0%
a 291
11.7%
e 244
9.8%
r 197
 
7.9%
182
 
7.3%
o 171
 
6.9%
t 169
 
6.8%
n 151
 
6.1%
s 137
 
5.5%
c 105
 
4.2%
Other values (36) 547
21.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2494
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 300
12.0%
a 291
11.7%
e 244
9.8%
r 197
 
7.9%
182
 
7.3%
o 171
 
6.9%
t 169
 
6.8%
n 151
 
6.1%
s 137
 
5.5%
c 105
 
4.2%
Other values (36) 547
21.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2494
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 300
12.0%
a 291
11.7%
e 244
9.8%
r 197
 
7.9%
182
 
7.3%
o 171
 
6.9%
t 169
 
6.8%
n 151
 
6.1%
s 137
 
5.5%
c 105
 
4.2%
Other values (36) 547
21.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2494
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 300
12.0%
a 291
11.7%
e 244
9.8%
r 197
 
7.9%
182
 
7.3%
o 171
 
6.9%
t 169
 
6.8%
n 151
 
6.1%
s 137
 
5.5%
c 105
 
4.2%
Other values (36) 547
21.9%

w1_H03bm
Real number (ℝ)

Missing 

w1_H04bm - More precisely she or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct16
Distinct (%)3.9%
Missing5278
Missing (%)92.7%
Infinite0
Infinite (%)0.0%
Mean5.852657005
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:32.681282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q14
median5
Q36
95-th percentile14
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.224457113
Coefficient of variation (CV)0.5509390197
Kurtosis3.137162591
Mean5.852657005
Median Absolute Deviation (MAD)1
Skewness1.953586003
Sum2423
Variance10.39712367
MonotonicityNot monotonic
2025-02-26T17:44:32.721944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
4 165
 
2.9%
5 86
 
1.5%
6 71
 
1.2%
16 17
 
0.3%
2 15
 
0.3%
7 11
 
0.2%
10 8
 
0.1%
14 7
 
0.1%
13 7
 
0.1%
8 7
 
0.1%
Other values (6) 20
 
0.4%
(Missing) 5278
92.7%
ValueCountFrequency (%)
1 2
 
< 0.1%
2 15
 
0.3%
3 1
 
< 0.1%
4 165
2.9%
5 86
1.5%
ValueCountFrequency (%)
16 17
0.3%
15 3
 
0.1%
14 7
0.1%
13 7
0.1%
12 5
 
0.1%

w1_H03bm_other
Text

Missing 

w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____

Distinct11
Distinct (%)100.0%
Missing5681
Missing (%)99.8%
Memory size45.5 KiB
2025-02-26T17:44:32.814550image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length34
Median length27
Mean length21.27272727
Min length10

Characters and Unicode

Total characters234
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st rowCommerciante
2nd rowPsicologa e found-raiser
3rd rowSegretaria
4th rowImprenditrice con 1-13 dipendenti
5th rowcollaboratrice per agenzie statali
ValueCountFrequency (%)
commerciante 2
 
7.1%
imprenditrice 2
 
7.1%
un 2
 
7.1%
psicologa 1
 
3.6%
e 1
 
3.6%
found-raiser 1
 
3.6%
segretaria 1
 
3.6%
con 1
 
3.6%
1-13 1
 
3.6%
dipendenti 1
 
3.6%
Other values (15) 15
53.6%
2025-02-26T17:44:32.957666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 30
12.8%
i 22
 
9.4%
r 21
 
9.0%
a 21
 
9.0%
17
 
7.3%
t 16
 
6.8%
o 15
 
6.4%
n 14
 
6.0%
c 12
 
5.1%
s 9
 
3.8%
Other values (18) 57
24.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 234
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 30
12.8%
i 22
 
9.4%
r 21
 
9.0%
a 21
 
9.0%
17
 
7.3%
t 16
 
6.8%
o 15
 
6.4%
n 14
 
6.0%
c 12
 
5.1%
s 9
 
3.8%
Other values (18) 57
24.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 234
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 30
12.8%
i 22
 
9.4%
r 21
 
9.0%
a 21
 
9.0%
17
 
7.3%
t 16
 
6.8%
o 15
 
6.4%
n 14
 
6.0%
c 12
 
5.1%
s 9
 
3.8%
Other values (18) 57
24.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 234
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 30
12.8%
i 22
 
9.4%
r 21
 
9.0%
a 21
 
9.0%
17
 
7.3%
t 16
 
6.8%
o 15
 
6.4%
n 14
 
6.0%
c 12
 
5.1%
s 9
 
3.8%
Other values (18) 57
24.4%

w1_I00
Real number (ℝ)

Missing 

Do you want to participate? 1. Yes, 2. No [go to I05]

Distinct2
Distinct (%)0.1%
Missing1790
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean1.530497181
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.005099image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.499133018
Coefficient of variation (CV)0.3261247549
Kurtosis-1.986069928
Mean1.530497181
Median Absolute Deviation (MAD)0
Skewness-0.1222632822
Sum5972
Variance0.2491337697
MonotonicityNot monotonic
2025-02-26T17:44:33.041831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 2070
36.4%
1 1832
32.2%
(Missing) 1790
31.4%
ValueCountFrequency (%)
1 1832
32.2%
2 2070
36.4%
ValueCountFrequency (%)
2 2070
36.4%
1 1832
32.2%

w1_I01
Real number (ℝ)

Missing 

Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’

Distinct3
Distinct (%)0.2%
Missing3860
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean1.677401747
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.077772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4892868853
Coefficient of variation (CV)0.2916933205
Kurtosis-1.09653006
Mean1.677401747
Median Absolute Deviation (MAD)0
Skewness-0.491348026
Sum3073
Variance0.2394016561
MonotonicityNot monotonic
2025-02-26T17:44:33.118745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 1203
 
21.1%
1 610
 
10.7%
3 19
 
0.3%
(Missing) 3860
67.8%
ValueCountFrequency (%)
1 610
10.7%
2 1203
21.1%
3 19
 
0.3%
ValueCountFrequency (%)
3 19
 
0.3%
2 1203
21.1%
1 610
10.7%

w1_I03
Real number (ℝ)

Missing 

How many Mobile phones do you have? N. |__|

Distinct3
Distinct (%)0.3%
Missing4513
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean1.067854114
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.158326image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2742046237
Coefficient of variation (CV)0.256780978
Kurtosis19.24037463
Mean1.067854114
Median Absolute Deviation (MAD)0
Skewness4.273021412
Sum1259
Variance0.07518817564
MonotonicityNot monotonic
2025-02-26T17:44:33.198957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 1106
 
19.4%
2 66
 
1.2%
3 7
 
0.1%
(Missing) 4513
79.3%
ValueCountFrequency (%)
1 1106
19.4%
2 66
 
1.2%
3 7
 
0.1%
ValueCountFrequency (%)
3 7
 
0.1%
2 66
 
1.2%
1 1106
19.4%

w1_I04
Real number (ℝ)

Missing 

I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]

Distinct2
Distinct (%)0.2%
Missing4495
Missing (%)79.0%
Infinite0
Infinite (%)0.0%
Mean1.019214703
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.238959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1373362869
Coefficient of variation (CV)0.1347471602
Kurtosis47.26527922
Mean1.019214703
Median Absolute Deviation (MAD)0
Skewness7.01329516
Sum1220
Variance0.0188612557
MonotonicityNot monotonic
2025-02-26T17:44:33.277431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1174
 
20.6%
2 23
 
0.4%
(Missing) 4495
79.0%
ValueCountFrequency (%)
1 1174
20.6%
2 23
 
0.4%
ValueCountFrequency (%)
2 23
 
0.4%
1 1174
20.6%

w1_BFI15_1
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often worry about trifles.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_2
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I often feel disturbed.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_3
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I always worry that something bad is going to happen.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_4
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to plan things from the beginning.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_5
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I am diligent in my work or study.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_6
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: One of my characteristics is doing things logically and orderly.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_7
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I think most people are well-intentioned.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_8
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some frauds in the society, I think most people can be trusted.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_9
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: Although there are some bad things in human society (such as war, evil and fraud), I still believe that human nature is generally good.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_10
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm a person who loves to take risks and break the rules.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_11
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like adventure.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_12
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I have a spirit of adventure that no one else has.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_13
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I'm bored by parties with lots of people.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_14
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I try to avoid parties with lots of people and noisy environments.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_BFI15_15
Unsupported

Missing  Rejected  Unsupported 

Question: Describe yourself as you generally are now, not as you wish to be. Describe yourself as you honestly see yourself, in relation to other people you know of the same sex as you are and roughly your same age. Please use the scale below to rate how accurately each statement describes you. | Answer: I like to go to social and recreational parties.

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_GT_BF15
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_N01
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? 1. By myself 2. Followed my parents' advice 3. Followed my brother/sister's advice4. Other, please specify: ____

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_N01_other
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? | Answer: Other, please specify: ____

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_N02
Unsupported

Missing  Rejected  Unsupported 

Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_N03
Unsupported

Missing  Rejected  Unsupported 

From where did you migrate? 1. Arkhangai 2. Bayan-Ulgii 3. Баянхонгор 4. Bayankhongor 5. Govi-Altai 6. Govisumber 7. Darkhan-Uul 8. Dornogovi 9. Dornod 10. Dundgovi 11. Zavkhan 12. Orkhon 13. Uvurkhangai 14. Umnugovi 15. Sukhbaatar 16. Selenge 17. Tuv 18. Uvs 19. Khovd 20. Khuvsgul 21. Khentii

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_N04
Unsupported

Missing  Rejected  Unsupported 

For how long are you living in the current place? 1. Less than 1 year 2. 1-2 years 3. 3-4 years 4. 4-5 years 5. 5 or more years

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_N05_1
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_N05_2
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_N05_3
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_N05_4
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_N05_5
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_N05_6
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_N05_7
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_N05_8
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_N06
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____

Missing5692
Missing (%)100.0%
Memory size50.2 KiB

w1_N06_other
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city. | Answer: Other, please specify: ____

Missing5692
Missing (%)100.0%
Memory size45.3 KiB

w1_interviewtime
Real number (ℝ)

Zeros 

time of interview

Distinct4978
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1086.251771
Minimum0
Maximum24410
Zeros636
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.334941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1353.785
median962.885
Q31324.55
95-th percentile2643.594
Maximum24410
Range24410
Interquartile range (IQR)970.765

Descriptive statistics

Standard deviation1328.837191
Coefficient of variation (CV)1.223323383
Kurtosis66.29753126
Mean1086.251771
Median Absolute Deviation (MAD)417.16
Skewness6.248948304
Sum6182945.08
Variance1765808.281
MonotonicityNot monotonic
2025-02-26T17:44:33.397285image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 636
 
11.2%
13.8 3
 
0.1%
1054.92 3
 
0.1%
1130.37 2
 
< 0.1%
1051.84 2
 
< 0.1%
975.86 2
 
< 0.1%
679.52 2
 
< 0.1%
1157.49 2
 
< 0.1%
1037.94 2
 
< 0.1%
732.77 2
 
< 0.1%
Other values (4968) 5036
88.5%
ValueCountFrequency (%)
0.0 636
11.2%
5.22 1
 
< 0.1%
5.23 1
 
< 0.1%
6.38 1
 
< 0.1%
6.63 1
 
< 0.1%
ValueCountFrequency (%)
24410.0 1
< 0.1%
20868.6 1
< 0.1%
19392.0 1
< 0.1%
19128.5 1
< 0.1%
18929.6 1
< 0.1%

w1_GT_A0
Real number (ℝ)

Missing  Skewed 

Distinct2315
Distinct (%)45.8%
Missing636
Missing (%)11.2%
Infinite0
Infinite (%)0.0%
Mean31.79006131
Minimum3.13
Maximum12132.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.452333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.13
5-th percentile6.69
Q19.97
median13.5
Q319.0425
95-th percentile45.8875
Maximum12132.5
Range12129.37
Interquartile range (IQR)9.0725

Descriptive statistics

Standard deviation263.2914067
Coefficient of variation (CV)8.282192479
Kurtosis1176.144668
Mean31.79006131
Median Absolute Deviation (MAD)4.13
Skewness31.47916621
Sum160730.55
Variance69322.36485
MonotonicityNot monotonic
2025-02-26T17:44:33.506088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.63 11
 
0.2%
13.31 11
 
0.2%
13.8 10
 
0.2%
9.73 10
 
0.2%
11.51 9
 
0.2%
11.45 9
 
0.2%
12.36 9
 
0.2%
10.04 9
 
0.2%
12.37 9
 
0.2%
9.5 9
 
0.2%
Other values (2305) 4960
87.1%
(Missing) 636
 
11.2%
ValueCountFrequency (%)
3.13 1
< 0.1%
3.28 1
< 0.1%
3.58 1
< 0.1%
3.75 1
< 0.1%
3.77 1
< 0.1%
ValueCountFrequency (%)
12132.5 1
< 0.1%
7547.79 1
< 0.1%
6572.68 1
< 0.1%
6099.25 1
< 0.1%
4821.65 1
< 0.1%

w1_GT_A1
Real number (ℝ)

Missing 

Distinct3694
Distinct (%)78.4%
Missing979
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean95.30183111
Minimum6.29
Maximum5210.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.557604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.29
5-th percentile41.03
Q155.53
median70.38
Q391.86
95-th percentile180.578
Maximum5210.82
Range5204.53
Interquartile range (IQR)36.33

Descriptive statistics

Standard deviation186.6665525
Coefficient of variation (CV)1.958687995
Kurtosis422.3637417
Mean95.30183111
Median Absolute Deviation (MAD)16.88
Skewness18.34960428
Sum449157.53
Variance34844.40181
MonotonicityNot monotonic
2025-02-26T17:44:33.609108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.96 5
 
0.1%
75.96 5
 
0.1%
76.05 5
 
0.1%
59.25 5
 
0.1%
54.43 5
 
0.1%
55.0 5
 
0.1%
61.03 5
 
0.1%
60.37 5
 
0.1%
51.74 4
 
0.1%
54.77 4
 
0.1%
Other values (3684) 4665
82.0%
(Missing) 979
 
17.2%
ValueCountFrequency (%)
6.29 1
< 0.1%
8.67 1
< 0.1%
19.27 1
< 0.1%
20.28 1
< 0.1%
21.65 1
< 0.1%
ValueCountFrequency (%)
5210.82 1
< 0.1%
5206.21 1
< 0.1%
4902.67 1
< 0.1%
4148.07 1
< 0.1%
2914.59 1
< 0.1%

w1_GT_B
Real number (ℝ)

Missing 

Distinct4079
Distinct (%)93.7%
Missing1339
Missing (%)23.5%
Infinite0
Infinite (%)0.0%
Mean346.1659499
Minimum5.93
Maximum20805.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.659193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.93
5-th percentile133.026
Q1187.23
median239.64
Q3323.98
95-th percentile670.732
Maximum20805.2
Range20799.27
Interquartile range (IQR)136.75

Descriptive statistics

Standard deviation719.6648834
Coefficient of variation (CV)2.078959192
Kurtosis313.0881231
Mean346.1659499
Median Absolute Deviation (MAD)62.19
Skewness15.46219798
Sum1506860.38
Variance517917.5444
MonotonicityNot monotonic
2025-02-26T17:44:33.709354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185.79 4
 
0.1%
173.34 4
 
0.1%
207.83 3
 
0.1%
176.8 3
 
0.1%
217.83 3
 
0.1%
190.63 3
 
0.1%
243.93 3
 
0.1%
193.2 3
 
0.1%
142.46 3
 
0.1%
241.64 3
 
0.1%
Other values (4069) 4321
75.9%
(Missing) 1339
 
23.5%
ValueCountFrequency (%)
5.93 1
< 0.1%
6.37 1
< 0.1%
8.4 1
< 0.1%
8.83 1
< 0.1%
11.74 1
< 0.1%
ValueCountFrequency (%)
20805.2 1
< 0.1%
15993.1 1
< 0.1%
15534.7 1
< 0.1%
11826.1 1
< 0.1%
10555.3 1
< 0.1%

w1_GT_C
Real number (ℝ)

Missing  Skewed 

Distinct3719
Distinct (%)84.4%
Missing1284
Missing (%)22.6%
Infinite0
Infinite (%)0.0%
Mean117.1482849
Minimum3.99
Maximum12263.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.758118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.99
5-th percentile40.824
Q167.4325
median85.095
Q3111.0125
95-th percentile202.792
Maximum12263.6
Range12259.61
Interquartile range (IQR)43.58

Descriptive statistics

Standard deviation300.0646954
Coefficient of variation (CV)2.561409205
Kurtosis786.8844477
Mean117.1482849
Median Absolute Deviation (MAD)20.585
Skewness24.07187392
Sum516389.64
Variance90038.82141
MonotonicityNot monotonic
2025-02-26T17:44:33.811996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.5 6
 
0.1%
74.51 4
 
0.1%
83.12 4
 
0.1%
83.27 4
 
0.1%
78.77 4
 
0.1%
108.96 4
 
0.1%
68.71 4
 
0.1%
75.48 3
 
0.1%
84.58 3
 
0.1%
93.36 3
 
0.1%
Other values (3709) 4369
76.8%
(Missing) 1284
 
22.6%
ValueCountFrequency (%)
3.99 1
< 0.1%
4.14 1
< 0.1%
4.46 1
< 0.1%
4.55 1
< 0.1%
5.06 1
< 0.1%
ValueCountFrequency (%)
12263.6 1
< 0.1%
8248.64 1
< 0.1%
5664.87 1
< 0.1%
4038.86 1
< 0.1%
3865.21 1
< 0.1%

w1_GT_D
Real number (ℝ)

Missing  Skewed 

Distinct2806
Distinct (%)66.2%
Missing1453
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean43.97836282
Minimum3.81
Maximum23205.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.862591image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.81
5-th percentile12.399
Q117.775
median24.6
Q338.31
95-th percentile78.191
Maximum23205.6
Range23201.79
Interquartile range (IQR)20.535

Descriptive statistics

Standard deviation379.6318301
Coefficient of variation (CV)8.632241079
Kurtosis3287.965549
Mean43.97836282
Median Absolute Deviation (MAD)8.52
Skewness54.92931365
Sum186424.28
Variance144120.3264
MonotonicityNot monotonic
2025-02-26T17:44:33.912110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.52 6
 
0.1%
19.16 6
 
0.1%
13.77 6
 
0.1%
16.97 6
 
0.1%
20.44 5
 
0.1%
17.9 5
 
0.1%
19.51 5
 
0.1%
25.51 5
 
0.1%
21.59 5
 
0.1%
17.29 5
 
0.1%
Other values (2796) 4185
73.5%
(Missing) 1453
 
25.5%
ValueCountFrequency (%)
3.81 1
< 0.1%
4.05 1
< 0.1%
5.17 1
< 0.1%
5.74 1
< 0.1%
6.67 1
< 0.1%
ValueCountFrequency (%)
23205.6 1
< 0.1%
5613.03 1
< 0.1%
4616.37 1
< 0.1%
3050.72 1
< 0.1%
1384.74 1
< 0.1%

w1_GT_E
Real number (ℝ)

Missing  Skewed 

Distinct3745
Distinct (%)89.6%
Missing1510
Missing (%)26.5%
Infinite0
Infinite (%)0.0%
Mean196.3359637
Minimum4.51
Maximum16937.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:33.960730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.51
5-th percentile92.362
Q1124.7625
median154.465
Q3198.0175
95-th percentile341.3635
Maximum16937.7
Range16933.19
Interquartile range (IQR)73.255

Descriptive statistics

Standard deviation376.9502263
Coefficient of variation (CV)1.919924497
Kurtosis1103.152494
Mean196.3359637
Median Absolute Deviation (MAD)34.345
Skewness28.77872088
Sum821077
Variance142091.4731
MonotonicityNot monotonic
2025-02-26T17:44:34.012267image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131.25 5
 
0.1%
155.42 4
 
0.1%
148.63 4
 
0.1%
140.13 4
 
0.1%
199.8 4
 
0.1%
115.48 3
 
0.1%
186.88 3
 
0.1%
142.61 3
 
0.1%
120.92 3
 
0.1%
116.76 3
 
0.1%
Other values (3735) 4146
72.8%
(Missing) 1510
 
26.5%
ValueCountFrequency (%)
4.51 1
< 0.1%
6.38 1
< 0.1%
6.55 1
< 0.1%
6.78 1
< 0.1%
7.88 1
< 0.1%
ValueCountFrequency (%)
16937.7 1
< 0.1%
10774.0 1
< 0.1%
5294.56 1
< 0.1%
4944.69 1
< 0.1%
4071.52 1
< 0.1%

w1_GT_F
Real number (ℝ)

Missing  Skewed 

Distinct2713
Distinct (%)65.1%
Missing1525
Missing (%)26.8%
Infinite0
Infinite (%)0.0%
Mean31.48762179
Minimum3.15
Maximum6471.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:34.063137image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.15
5-th percentile6.52
Q19.34
median16.68
Q337.83
95-th percentile79.375
Maximum6471.2
Range6468.05
Interquartile range (IQR)28.49

Descriptive statistics

Standard deviation110.8129661
Coefficient of variation (CV)3.519254862
Kurtosis2754.056191
Mean31.48762179
Median Absolute Deviation (MAD)9.14
Skewness48.36029776
Sum131208.92
Variance12279.51345
MonotonicityNot monotonic
2025-02-26T17:44:34.113362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.32 10
 
0.2%
7.59 9
 
0.2%
7.95 9
 
0.2%
7.05 8
 
0.1%
7.92 8
 
0.1%
7.43 8
 
0.1%
8.96 8
 
0.1%
12.09 7
 
0.1%
8.0 7
 
0.1%
7.9 7
 
0.1%
Other values (2703) 4086
71.8%
(Missing) 1525
 
26.8%
ValueCountFrequency (%)
3.15 1
< 0.1%
3.75 1
< 0.1%
3.77 1
< 0.1%
3.86 1
< 0.1%
4.06 1
< 0.1%
ValueCountFrequency (%)
6471.2 1
< 0.1%
1752.72 1
< 0.1%
777.91 1
< 0.1%
635.94 1
< 0.1%
574.7 1
< 0.1%

w1_GT_G1
Real number (ℝ)

Missing  Skewed 

Distinct3399
Distinct (%)82.2%
Missing1559
Missing (%)27.4%
Infinite0
Infinite (%)0.0%
Mean103.690104
Minimum2.59
Maximum13570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:34.238125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.59
5-th percentile37.936
Q154.74
median71.81
Q396.75
95-th percentile175.664
Maximum13570
Range13567.41
Interquartile range (IQR)42.01

Descriptive statistics

Standard deviation345.4454086
Coefficient of variation (CV)3.33151762
Kurtosis842.3141758
Mean103.690104
Median Absolute Deviation (MAD)19.8
Skewness26.08875526
Sum428551.2
Variance119332.5303
MonotonicityNot monotonic
2025-02-26T17:44:34.291650image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.56 5
 
0.1%
49.64 5
 
0.1%
56.61 4
 
0.1%
45.07 4
 
0.1%
64.83 4
 
0.1%
56.64 4
 
0.1%
81.08 4
 
0.1%
57.91 4
 
0.1%
44.58 4
 
0.1%
70.12 4
 
0.1%
Other values (3389) 4091
71.9%
(Missing) 1559
 
27.4%
ValueCountFrequency (%)
2.59 1
< 0.1%
3.19 1
< 0.1%
3.52 1
< 0.1%
3.53 1
< 0.1%
3.63 1
< 0.1%
ValueCountFrequency (%)
13570.0 1
< 0.1%
10835.4 1
< 0.1%
5604.15 1
< 0.1%
5315.31 1
< 0.1%
5267.93 1
< 0.1%

w1_GT_G2
Real number (ℝ)

Missing  Skewed 

Distinct3586
Distinct (%)85.4%
Missing1493
Missing (%)26.2%
Infinite0
Infinite (%)0.0%
Mean116.3871731
Minimum2.27
Maximum8092.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:34.344241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.27
5-th percentile43.013
Q169.475
median90.13
Q3118.385
95-th percentile219.44
Maximum8092.78
Range8090.51
Interquartile range (IQR)48.91

Descriptive statistics

Standard deviation212.7281666
Coefficient of variation (CV)1.827762982
Kurtosis600.077427
Mean116.3871731
Median Absolute Deviation (MAD)23.5
Skewness20.5878391
Sum488709.74
Variance45253.27288
MonotonicityNot monotonic
2025-02-26T17:44:34.400417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.97 6
 
0.1%
64.56 6
 
0.1%
82.06 5
 
0.1%
66.56 4
 
0.1%
83.67 4
 
0.1%
75.27 4
 
0.1%
94.87 4
 
0.1%
73.51 4
 
0.1%
81.77 4
 
0.1%
51.05 4
 
0.1%
Other values (3576) 4154
73.0%
(Missing) 1493
 
26.2%
ValueCountFrequency (%)
2.27 1
< 0.1%
2.4 1
< 0.1%
2.41 1
< 0.1%
2.67 1
< 0.1%
2.77 1
< 0.1%
ValueCountFrequency (%)
8092.78 1
< 0.1%
4814.73 1
< 0.1%
4159.7 1
< 0.1%
3348.3 1
< 0.1%
3226.64 1
< 0.1%

w1_GT_G3
Real number (ℝ)

Missing 

Distinct3560
Distinct (%)86.6%
Missing1580
Missing (%)27.8%
Infinite0
Infinite (%)0.0%
Mean125.2237111
Minimum1.79
Maximum8202.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:34.455320image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.79
5-th percentile44.1075
Q172.855
median94.825
Q3124.4325
95-th percentile224.663
Maximum8202.66
Range8200.87
Interquartile range (IQR)51.5775

Descriptive statistics

Standard deviation261.7737905
Coefficient of variation (CV)2.090449071
Kurtosis426.050998
Mean125.2237111
Median Absolute Deviation (MAD)24.815
Skewness18.46507057
Sum514919.9
Variance68525.51738
MonotonicityNot monotonic
2025-02-26T17:44:34.505869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.23 5
 
0.1%
92.45 4
 
0.1%
110.12 4
 
0.1%
95.65 4
 
0.1%
91.32 4
 
0.1%
64.87 4
 
0.1%
87.98 4
 
0.1%
89.29 4
 
0.1%
101.99 4
 
0.1%
93.07 4
 
0.1%
Other values (3550) 4071
71.5%
(Missing) 1580
 
27.8%
ValueCountFrequency (%)
1.79 1
< 0.1%
2.04 1
< 0.1%
2.21 1
< 0.1%
2.6 1
< 0.1%
2.7 1
< 0.1%
ValueCountFrequency (%)
8202.66 1
< 0.1%
6164.98 1
< 0.1%
5557.64 1
< 0.1%
5263.92 1
< 0.1%
4665.83 1
< 0.1%

w1_GT_H1
Real number (ℝ)

Missing  Skewed 

Distinct2644
Distinct (%)66.4%
Missing1711
Missing (%)30.1%
Infinite0
Infinite (%)0.0%
Mean42.94202713
Minimum2.53
Maximum6345.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:34.555624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.53
5-th percentile13.79
Q119.97
median26.43
Q336.23
95-th percentile77.3
Maximum6345.69
Range6343.16
Interquartile range (IQR)16.26

Descriptive statistics

Standard deviation196.3012664
Coefficient of variation (CV)4.571308797
Kurtosis694.4863579
Mean42.94202713
Median Absolute Deviation (MAD)7.53
Skewness25.10012524
Sum170952.21
Variance38534.18719
MonotonicityNot monotonic
2025-02-26T17:44:34.605802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.24 6
 
0.1%
21.08 6
 
0.1%
19.88 6
 
0.1%
22.54 6
 
0.1%
15.72 5
 
0.1%
30.52 5
 
0.1%
21.21 5
 
0.1%
27.91 5
 
0.1%
28.87 5
 
0.1%
24.72 5
 
0.1%
Other values (2634) 3927
69.0%
(Missing) 1711
30.1%
ValueCountFrequency (%)
2.53 1
< 0.1%
2.54 1
< 0.1%
2.65 1
< 0.1%
2.7 1
< 0.1%
2.9 1
< 0.1%
ValueCountFrequency (%)
6345.69 1
< 0.1%
5622.0 1
< 0.1%
5254.16 1
< 0.1%
5215.34 1
< 0.1%
2764.7 1
< 0.1%

w1_GT_H2
Real number (ℝ)

Missing  Skewed 

Distinct3403
Distinct (%)85.9%
Missing1730
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean86.5515371
Minimum4.54
Maximum6477.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:34.655927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.54
5-th percentile24
Q144.905
median64.635
Q393.385
95-th percentile169.1295
Maximum6477.21
Range6472.67
Interquartile range (IQR)48.48

Descriptive statistics

Standard deviation204.3885471
Coefficient of variation (CV)2.361466404
Kurtosis661.8115826
Mean86.5515371
Median Absolute Deviation (MAD)22.66
Skewness23.67568199
Sum342917.19
Variance41774.67818
MonotonicityNot monotonic
2025-02-26T17:44:34.707604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.77 5
 
0.1%
29.33 4
 
0.1%
43.01 4
 
0.1%
66.16 3
 
0.1%
47.96 3
 
0.1%
39.83 3
 
0.1%
83.39 3
 
0.1%
85.85 3
 
0.1%
42.41 3
 
0.1%
30.58 3
 
0.1%
Other values (3393) 3928
69.0%
(Missing) 1730
30.4%
ValueCountFrequency (%)
4.54 1
< 0.1%
5.09 1
< 0.1%
5.42 1
< 0.1%
5.71 1
< 0.1%
6.38 1
< 0.1%
ValueCountFrequency (%)
6477.21 1
< 0.1%
6382.49 1
< 0.1%
5795.32 1
< 0.1%
3485.13 1
< 0.1%
2902.35 1
< 0.1%

w1_GT_I1
Real number (ℝ)

Missing 

Distinct3491
Distinct (%)89.4%
Missing1786
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean113.4540399
Minimum4.22
Maximum11470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:34.759672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.22
5-th percentile10.12
Q135.125
median63.95
Q3110.9825
95-th percentile252.5725
Maximum11470
Range11465.78
Interquartile range (IQR)75.8575

Descriptive statistics

Standard deviation360.7083301
Coefficient of variation (CV)3.179334383
Kurtosis442.4163525
Mean113.4540399
Median Absolute Deviation (MAD)35.705
Skewness18.39717854
Sum443151.48
Variance130110.4994
MonotonicityNot monotonic
2025-02-26T17:44:34.812605image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.16 4
 
0.1%
36.13 4
 
0.1%
61.4 3
 
0.1%
61.04 3
 
0.1%
11.21 3
 
0.1%
56.48 3
 
0.1%
14.38 3
 
0.1%
102.74 3
 
0.1%
42.98 3
 
0.1%
16.12 3
 
0.1%
Other values (3481) 3874
68.1%
(Missing) 1786
31.4%
ValueCountFrequency (%)
4.22 1
< 0.1%
4.51 1
< 0.1%
4.73 1
< 0.1%
4.84 1
< 0.1%
4.93 1
< 0.1%
ValueCountFrequency (%)
11470.0 1
< 0.1%
8874.9 1
< 0.1%
7473.74 1
< 0.1%
6665.73 1
< 0.1%
5529.18 1
< 0.1%

w1_GT_I2
Real number (ℝ)

Missing  Skewed 

Distinct1083
Distinct (%)39.0%
Missing2913
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean7.878812522
Minimum1.23
Maximum466.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2025-02-26T17:44:34.862793image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.23
5-th percentile3.29
Q14.98
median6.19
Q38.475
95-th percentile16.314
Maximum466.84
Range465.61
Interquartile range (IQR)3.495

Descriptive statistics

Standard deviation10.79084497
Coefficient of variation (CV)1.369602962
Kurtosis1193.521252
Mean7.878812522
Median Absolute Deviation (MAD)1.54
Skewness29.42941625
Sum21895.22
Variance116.4423351
MonotonicityNot monotonic
2025-02-26T17:44:34.912049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.05 12
 
0.2%
5.43 11
 
0.2%
5.07 11
 
0.2%
5.19 11
 
0.2%
5.03 10
 
0.2%
4.87 10
 
0.2%
4.8 10
 
0.2%
5.78 10
 
0.2%
5.72 9
 
0.2%
5.96 9
 
0.2%
Other values (1073) 2676
47.0%
(Missing) 2913
51.2%
ValueCountFrequency (%)
1.23 1
< 0.1%
1.42 1
< 0.1%
1.56 1
< 0.1%
1.58 1
< 0.1%
1.62 1
< 0.1%
ValueCountFrequency (%)
466.84 1
< 0.1%
148.83 1
< 0.1%
105.43 1
< 0.1%
86.73 1
< 0.1%
73.62 1
< 0.1%

w1_GT_N
Unsupported

Missing  Rejected  Unsupported 

Missing5692
Missing (%)100.0%
Memory size50.2 KiB