Overview

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Dataset statistics

Number of variables350
Number of observations412
Missing cells86750
Missing cells (%)60.2%
Total size in memory1.2 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 "wenetDenmark" Constant
w1_F04_8 has constant value "False" Constant
w1_F03_1 is highly imbalanced (95.6%) Imbalance
w1_F03_2 is highly imbalanced (93.8%) Imbalance
w1_F03_3 is highly imbalanced (95.6%) Imbalance
w1_F03_4 is highly imbalanced (87.6%) Imbalance
w1_F03_5 is highly imbalanced (84.8%) Imbalance
w1_F03_6 is highly imbalanced (87.6%) Imbalance
w1_F03_7 is highly imbalanced (84.8%) Imbalance
w1_F03_8 is highly imbalanced (93.8%) Imbalance
w1_F03_9 is highly imbalanced (90.5%) Imbalance
w1_F03_10 is highly imbalanced (90.5%) Imbalance
w1_F04_1 is highly imbalanced (90.5%) Imbalance
w1_F04_2 is highly imbalanced (82.2%) Imbalance
w1_F04_3 is highly imbalanced (93.8%) Imbalance
w1_F04_4 is highly imbalanced (83.5%) Imbalance
w1_F04_5 is highly imbalanced (92.1%) Imbalance
w1_F04_6 is highly imbalanced (70.9%) Imbalance
w1_F04_7 is highly imbalanced (79.8%) Imbalance
w1_F04_9 is highly imbalanced (68.0%) Imbalance
w1_F04_10 is highly imbalanced (83.5%) Imbalance
w1_G08_3 is highly imbalanced (51.0%) Imbalance
w1_G08_4 is highly imbalanced (55.6%) Imbalance
w1_G08_5 is highly imbalanced (57.2%) Imbalance
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w1_submitdate has 203 (49.3%) missing values Missing
w1_refurl has 338 (82.0%) missing values Missing
w1_A00_1 has 96 (23.3%) missing values Missing
w1_A00_2 has 96 (23.3%) missing values Missing
w1_A01 has 137 (33.3%) missing values Missing
w1_A02 has 141 (34.2%) missing values Missing
w1_A03 has 112 (27.2%) missing values Missing
w1_A03JLU has 412 (100.0%) missing values Missing
w1_A04AMRITA has 412 (100.0%) missing values Missing
w1_A04AMRITA_other has 412 (100.0%) missing values Missing
w1_A04AAU has 147 (35.7%) missing values Missing
w1_A04JLU has 412 (100.0%) missing values Missing
w1_A04LSE has 412 (100.0%) missing values Missing
w1_A04NUM has 412 (100.0%) missing values Missing
w1_A04UC has 412 (100.0%) missing values Missing
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w1_A05 has 138 (33.5%) missing values Missing
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w1_A05AMRITA has 412 (100.0%) missing values Missing
w1_A06 has 138 (33.5%) missing values Missing
w1_A07 has 149 (36.2%) missing values Missing
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w1_A09 has 138 (33.5%) missing values Missing
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w1_A10NUM has 412 (100.0%) missing values Missing
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w1_A10UC has 412 (100.0%) missing values Missing
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w1_B01_2 has 177 (43.0%) missing values Missing
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w1_B01_4 has 177 (43.0%) missing values Missing
w1_B01_5 has 178 (43.2%) missing values Missing
w1_B01_6 has 180 (43.7%) missing values Missing
w1_B01_7 has 178 (43.2%) missing values Missing
w1_B01_8 has 177 (43.0%) missing values Missing
w1_B01_9 has 178 (43.2%) missing values Missing
w1_B01_10 has 177 (43.0%) missing values Missing
w1_B01_11 has 178 (43.2%) missing values Missing
w1_B01_12 has 178 (43.2%) missing values Missing
w1_B01_13 has 177 (43.0%) missing values Missing
w1_B01_14 has 178 (43.2%) missing values Missing
w1_B01_15 has 178 (43.2%) missing values Missing
w1_B01_16 has 177 (43.0%) missing values Missing
w1_B01_17 has 177 (43.0%) missing values Missing
w1_B01_18 has 177 (43.0%) missing values Missing
w1_B01_19 has 177 (43.0%) missing values Missing
w1_B01_20 has 177 (43.0%) missing values Missing
w1_B02_1 has 178 (43.2%) missing values Missing
w1_B02_2 has 178 (43.2%) missing values Missing
w1_B02_3 has 179 (43.4%) missing values Missing
w1_B02_4 has 178 (43.2%) missing values Missing
w1_B02_5 has 177 (43.0%) missing values Missing
w1_B02_6 has 177 (43.0%) missing values Missing
w1_B02_7 has 177 (43.0%) missing values Missing
w1_B02_8 has 412 (100.0%) missing values Missing
w1_B02_9 has 177 (43.0%) missing values Missing
w1_B02_10 has 180 (43.7%) missing values Missing
w1_B02_11 has 177 (43.0%) missing values Missing
w1_B02_12 has 177 (43.0%) missing values Missing
w1_B02_13 has 178 (43.2%) missing values Missing
w1_B02_14 has 177 (43.0%) missing values Missing
w1_B02_15 has 177 (43.0%) missing values Missing
w1_B02_16 has 177 (43.0%) missing values Missing
w1_B02_17 has 178 (43.2%) missing values Missing
w1_B02_18 has 177 (43.0%) missing values Missing
w1_B02JLU_1 has 412 (100.0%) missing values Missing
w1_B02JLU_2 has 412 (100.0%) missing values Missing
w1_B02JLU_3 has 412 (100.0%) missing values Missing
w1_B02JLU_4 has 412 (100.0%) missing values Missing
w1_B02JLU_5 has 412 (100.0%) missing values Missing
w1_B02JLU_6 has 412 (100.0%) missing values Missing
w1_B02JLU_7 has 412 (100.0%) missing values Missing
w1_B02JLU_8 has 412 (100.0%) missing values Missing
w1_B02JLU_9 has 412 (100.0%) missing values Missing
w1_B02JLU_10 has 412 (100.0%) missing values Missing
w1_B02JLU_11 has 412 (100.0%) missing values Missing
w1_B02JLU_12 has 412 (100.0%) missing values Missing
w1_B02JLU_13 has 412 (100.0%) missing values Missing
w1_B02JLU_14 has 412 (100.0%) missing values Missing
w1_B02JLU_15 has 412 (100.0%) missing values Missing
w1_B02JLU_16 has 412 (100.0%) missing values Missing
w1_B02JLU_17 has 412 (100.0%) missing values Missing
w1_B02JLU_18 has 412 (100.0%) missing values Missing
w1_C01_1 has 245 (59.5%) missing values Missing
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w1_C02_12 has 412 (100.0%) missing values Missing
w1_D01 has 185 (44.9%) missing values Missing
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w1_D04 has 361 (87.6%) missing values Missing
w1_D05 has 360 (87.4%) missing values Missing
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w1_E01_2 has 187 (45.4%) missing values Missing
w1_E01_3 has 187 (45.4%) missing values Missing
w1_E01_4 has 188 (45.6%) missing values Missing
w1_E01_5 has 188 (45.6%) missing values Missing
w1_E01_6 has 187 (45.4%) missing values Missing
w1_E01_7 has 188 (45.6%) missing values Missing
w1_E01_8 has 188 (45.6%) missing values Missing
w1_E01_9 has 190 (46.1%) missing values Missing
w1_E01_10 has 187 (45.4%) missing values Missing
w1_E01_11 has 187 (45.4%) missing values Missing
w1_E01_12 has 188 (45.6%) missing values Missing
w1_E01_13 has 189 (45.9%) missing values Missing
w1_E01_14 has 190 (46.1%) missing values Missing
w1_E01_15 has 189 (45.9%) missing values Missing
w1_E01_16 has 188 (45.6%) missing values Missing
w1_E01_17 has 187 (45.4%) missing values Missing
w1_E01_18 has 188 (45.6%) missing values Missing
w1_E01_19 has 187 (45.4%) missing values Missing
w1_E01JLU_1 has 412 (100.0%) missing values Missing
w1_E01JLU_2 has 412 (100.0%) missing values Missing
w1_E01JLU_3 has 412 (100.0%) missing values Missing
w1_E01JLU_4 has 412 (100.0%) missing values Missing
w1_E01JLU_5 has 412 (100.0%) missing values Missing
w1_E01JLU_6 has 412 (100.0%) missing values Missing
w1_E01JLU_7 has 412 (100.0%) missing values Missing
w1_E01JLU_8 has 412 (100.0%) missing values Missing
w1_E01JLU_9 has 412 (100.0%) missing values Missing
w1_E01JLU_10 has 412 (100.0%) missing values Missing
w1_E01JLU_11 has 412 (100.0%) missing values Missing
w1_E01JLU_12 has 412 (100.0%) missing values Missing
w1_E01JLU_13 has 412 (100.0%) missing values Missing
w1_E01JLU_14 has 412 (100.0%) missing values Missing
w1_E01JLU_15 has 412 (100.0%) missing values Missing
w1_E01JLU_16 has 412 (100.0%) missing values Missing
w1_E01JLU_17 has 412 (100.0%) missing values Missing
w1_E01JLU_18 has 412 (100.0%) missing values Missing
w1_E01JLU_19 has 412 (100.0%) missing values Missing
w1_E01JLU_20 has 412 (100.0%) missing values Missing
w1_E01JLU_21 has 412 (100.0%) missing values Missing
w1_E01JLU_22 has 412 (100.0%) missing values Missing
w1_E01JLU_23 has 412 (100.0%) missing values Missing
w1_E01JLU_24 has 412 (100.0%) missing values Missing
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w1_E02_2 has 189 (45.9%) missing values Missing
w1_E02_3 has 189 (45.9%) missing values Missing
w1_E02_4 has 188 (45.6%) missing values Missing
w1_E02_5 has 189 (45.9%) missing values Missing
w1_E02_6 has 189 (45.9%) missing values Missing
w1_E02_7 has 189 (45.9%) missing values Missing
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w1_E02_9 has 189 (45.9%) missing values Missing
w1_E02_10 has 189 (45.9%) missing values Missing
w1_E02_11 has 188 (45.6%) missing values Missing
w1_E02_12 has 189 (45.9%) missing values Missing
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w1_E03 has 185 (44.9%) missing values Missing
w1_E04 has 264 (64.1%) missing values Missing
w1_E05 has 269 (65.3%) missing values Missing
w1_E06 has 407 (98.8%) missing values Missing
w1_E07 has 408 (99.0%) missing values Missing
w1_E08 has 407 (98.8%) missing values Missing
w1_E09_1 has 407 (98.8%) missing values Missing
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w1_E09_3 has 407 (98.8%) missing values Missing
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w1_E09_6 has 407 (98.8%) missing values Missing
w1_E09_7 has 407 (98.8%) missing values Missing
w1_F01 has 186 (45.1%) missing values Missing
w1_F02 has 340 (82.5%) missing values Missing
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w1_F04_other has 407 (98.8%) missing values Missing
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w1_G02_4 has 194 (47.1%) missing values Missing
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w1_G02_7 has 196 (47.6%) missing values Missing
w1_G02_8 has 196 (47.6%) missing values Missing
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w1_G03_7 has 201 (48.8%) missing values Missing
w1_G03_8 has 200 (48.5%) missing values Missing
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w1_G04_8 has 196 (47.6%) missing values Missing
w1_G04_9 has 195 (47.3%) missing values Missing
w1_G04_10 has 195 (47.3%) missing values Missing
w1_G05_1 has 197 (47.8%) missing values Missing
w1_G05_2 has 197 (47.8%) missing values Missing
w1_G06 has 201 (48.8%) missing values Missing
w1_G07_1 has 199 (48.3%) missing values Missing
w1_G07_2 has 199 (48.3%) missing values Missing
w1_G09 has 242 (58.7%) missing values Missing
w1_G10_1 has 202 (49.0%) missing values Missing
w1_G10_2 has 203 (49.3%) missing values Missing
w1_G10_3 has 203 (49.3%) missing values Missing
w1_G10_4 has 203 (49.3%) missing values Missing
w1_G11_1 has 202 (49.0%) missing values Missing
w1_G11_2 has 204 (49.5%) missing values Missing
w1_H01f has 204 (49.5%) missing values Missing
w1_H01f_other has 407 (98.8%) missing values Missing
w1_H01m has 204 (49.5%) missing values Missing
w1_H01m_other has 408 (99.0%) missing values Missing
w1_H01fLSE has 412 (100.0%) missing values Missing
w1_H01mLSE has 412 (100.0%) missing values Missing
w1_H02f has 202 (49.0%) missing values Missing
w1_H03af has 268 (65.0%) missing values Missing
w1_H03af_other has 406 (98.5%) missing values Missing
w1_H03bf has 374 (90.8%) missing values Missing
w1_H03bf_other has 410 (99.5%) missing values Missing
w1_H02m has 202 (49.0%) missing values Missing
w1_H03am has 273 (66.3%) missing values Missing
w1_H03am_other has 402 (97.6%) missing values Missing
w1_H03bm has 389 (94.4%) missing values Missing
w1_H03bm_other has 409 (99.3%) missing values Missing
w1_I00 has 204 (49.5%) missing values Missing
w1_I01 has 332 (80.6%) missing values Missing
w1_I03 has 369 (89.6%) missing values Missing
w1_I04 has 368 (89.3%) missing values Missing
w1_BFI15_1 has 412 (100.0%) missing values Missing
w1_BFI15_2 has 412 (100.0%) missing values Missing
w1_BFI15_3 has 412 (100.0%) missing values Missing
w1_BFI15_4 has 412 (100.0%) missing values Missing
w1_BFI15_5 has 412 (100.0%) missing values Missing
w1_BFI15_6 has 412 (100.0%) missing values Missing
w1_BFI15_7 has 412 (100.0%) missing values Missing
w1_BFI15_8 has 412 (100.0%) missing values Missing
w1_BFI15_9 has 412 (100.0%) missing values Missing
w1_BFI15_10 has 412 (100.0%) missing values Missing
w1_BFI15_11 has 412 (100.0%) missing values Missing
w1_BFI15_12 has 412 (100.0%) missing values Missing
w1_BFI15_13 has 412 (100.0%) missing values Missing
w1_BFI15_14 has 412 (100.0%) missing values Missing
w1_BFI15_15 has 412 (100.0%) missing values Missing
w1_GT_BF15 has 412 (100.0%) missing values Missing
w1_N01 has 412 (100.0%) missing values Missing
w1_N01_other has 412 (100.0%) missing values Missing
w1_N02 has 412 (100.0%) missing values Missing
w1_N03 has 412 (100.0%) missing values Missing
w1_N04 has 412 (100.0%) missing values Missing
w1_N05_1 has 412 (100.0%) missing values Missing
w1_N05_2 has 412 (100.0%) missing values Missing
w1_N05_3 has 412 (100.0%) missing values Missing
w1_N05_4 has 412 (100.0%) missing values Missing
w1_N05_5 has 412 (100.0%) missing values Missing
w1_N05_6 has 412 (100.0%) missing values Missing
w1_N05_7 has 412 (100.0%) missing values Missing
w1_N05_8 has 412 (100.0%) missing values Missing
w1_N06 has 412 (100.0%) missing values Missing
w1_N06_other has 412 (100.0%) missing values Missing
w1_GT_A0 has 96 (23.3%) missing values Missing
w1_GT_A1 has 136 (33.0%) missing values Missing
w1_GT_B has 169 (41.0%) missing values Missing
w1_GT_C has 163 (39.6%) missing values Missing
w1_GT_D has 179 (43.4%) missing values Missing
w1_GT_E has 185 (44.9%) missing values Missing
w1_GT_F has 186 (45.1%) missing values Missing
w1_GT_G1 has 191 (46.4%) missing values Missing
w1_GT_G2 has 189 (45.9%) missing values Missing
w1_GT_G3 has 192 (46.6%) missing values Missing
w1_GT_H1 has 201 (48.8%) missing values Missing
w1_GT_H2 has 202 (49.0%) missing values Missing
w1_GT_I1 has 203 (49.3%) missing values Missing
w1_GT_I2 has 241 (58.5%) missing values Missing
w1_GT_N has 412 (100.0%) missing values Missing
token has unique values Unique
w1_datestamp 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_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_A04UNITN 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_A05UNITN 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_A09UNITN 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_A10UNITN 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 84 (20.4%) zeros Zeros
w1_C01_2 has 117 (28.4%) zeros Zeros
w1_C01_3 has 112 (27.2%) zeros Zeros
w1_C01_4 has 34 (8.3%) zeros Zeros
w1_D01 has 6 (1.5%) zeros Zeros
w1_F02 has 22 (5.3%) zeros Zeros
w1_interviewtime has 96 (23.3%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:42:36.577394
Analysis finished2025-02-26 16:42:37.187237
Duration0.61 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct412
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.4 KiB
2025-02-26T17:42:37.326730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters6180
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

Unique412 ?
Unique (%)100.0%

Sample

1st row0kO3FAtv9ozGUCy
2nd row8MGz7bjdXyM20ci
3rd rowKS1wdoPcaRYTl34
4th rowShandKNOgrWDykt
5th rowZQyaervSd4V26zF
ValueCountFrequency (%)
0ko3fatv9ozgucy 1
 
0.2%
8mgz7bjdxym20ci 1
 
0.2%
ks1wdopcarytl34 1
 
0.2%
shandknogrwdykt 1
 
0.2%
zqyaervsd4v26zf 1
 
0.2%
dze0z9fxwvo3uwe 1
 
0.2%
fzgqjrno0epbzsw 1
 
0.2%
g6wsie4hchde9ho 1
 
0.2%
ghrj9jpyq6ua1is 1
 
0.2%
kdvfo9fi1vfniyz 1
 
0.2%
Other values (402) 402
97.6%
2025-02-26T17:42:37.536037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 194
 
3.1%
a 189
 
3.1%
E 121
 
2.0%
1 118
 
1.9%
9 112
 
1.8%
J 112
 
1.8%
m 111
 
1.8%
i 108
 
1.7%
H 108
 
1.7%
v 106
 
1.7%
Other values (52) 4901
79.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6180
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 194
 
3.1%
a 189
 
3.1%
E 121
 
2.0%
1 118
 
1.9%
9 112
 
1.8%
J 112
 
1.8%
m 111
 
1.8%
i 108
 
1.7%
H 108
 
1.7%
v 106
 
1.7%
Other values (52) 4901
79.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6180
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 194
 
3.1%
a 189
 
3.1%
E 121
 
2.0%
1 118
 
1.9%
9 112
 
1.8%
J 112
 
1.8%
m 111
 
1.8%
i 108
 
1.7%
H 108
 
1.7%
v 106
 
1.7%
Other values (52) 4901
79.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6180
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 194
 
3.1%
a 189
 
3.1%
E 121
 
2.0%
1 118
 
1.9%
9 112
 
1.8%
J 112
 
1.8%
m 111
 
1.8%
i 108
 
1.7%
H 108
 
1.7%
v 106
 
1.7%
Other values (52) 4901
79.3%

w1_experimentid
Text

Constant 

experiment id

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.2 KiB
2025-02-26T17:42:37.611005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4944
Distinct characters9
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 rowwenetDenmark
2nd rowwenetDenmark
3rd rowwenetDenmark
4th rowwenetDenmark
5th rowwenetDenmark
ValueCountFrequency (%)
wenetdenmark 412
100.0%
2025-02-26T17:42:37.715291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1236
25.0%
n 824
16.7%
w 412
 
8.3%
t 412
 
8.3%
D 412
 
8.3%
m 412
 
8.3%
a 412
 
8.3%
r 412
 
8.3%
k 412
 
8.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4944
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1236
25.0%
n 824
16.7%
w 412
 
8.3%
t 412
 
8.3%
D 412
 
8.3%
m 412
 
8.3%
a 412
 
8.3%
r 412
 
8.3%
k 412
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4944
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1236
25.0%
n 824
16.7%
w 412
 
8.3%
t 412
 
8.3%
D 412
 
8.3%
m 412
 
8.3%
a 412
 
8.3%
r 412
 
8.3%
k 412
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4944
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1236
25.0%
n 824
16.7%
w 412
 
8.3%
t 412
 
8.3%
D 412
 
8.3%
m 412
 
8.3%
a 412
 
8.3%
r 412
 
8.3%
k 412
 
8.3%

w1_fillinquest
Real number (ℝ)

fillinquest

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.099514563
Minimum-1
Maximum5
Zeros0
Zeros (%)0.0%
Negative96
Negative (%)23.3%
Memory size3.8 KiB
2025-02-26T17:42:37.752484image/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 deviation2.403829013
Coefficient of variation (CV)0.7755501593
Kurtosis-0.8152185075
Mean3.099514563
Median Absolute Deviation (MAD)0
Skewness-0.9107994927
Sum1277
Variance5.778393924
MonotonicityNot monotonic
2025-02-26T17:42:37.788125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 209
50.7%
3 100
24.3%
-1 96
23.3%
4 7
 
1.7%
ValueCountFrequency (%)
-1 96
23.3%
3 100
24.3%
4 7
 
1.7%
5 209
50.7%
ValueCountFrequency (%)
5 209
50.7%
4 7
 
1.7%
3 100
24.3%
-1 96
23.3%

w1_lastpage
Real number (ℝ)

Missing 

last page

Distinct14
Distinct (%)4.4%
Missing96
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean11.51265823
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:37.823994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16.75
median15
Q315
95-th percentile15
Maximum15
Range14
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation5.324680292
Coefficient of variation (CV)0.4625065894
Kurtosis-0.7353565696
Mean11.51265823
Median Absolute Deviation (MAD)0
Skewness-1.030699925
Sum3638
Variance28.35222021
MonotonicityNot monotonic
2025-02-26T17:42:37.862588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
15 209
50.7%
3 32
 
7.8%
1 26
 
6.3%
4 13
 
3.2%
9 9
 
2.2%
8 6
 
1.5%
6 5
 
1.2%
13 4
 
1.0%
5 3
 
0.7%
14 3
 
0.7%
Other values (4) 6
 
1.5%
(Missing) 96
23.3%
ValueCountFrequency (%)
1 26
6.3%
3 32
7.8%
4 13
3.2%
5 3
 
0.7%
6 5
 
1.2%
ValueCountFrequency (%)
15 209
50.7%
14 3
 
0.7%
13 4
 
1.0%
12 1
 
0.2%
11 2
 
0.5%

w1_submitdate
Date

Missing 

date of submission

Distinct209
Distinct (%)100.0%
Missing203
Missing (%)49.3%
Memory size3.3 KiB
Minimum2020-09-28 07:43:56
Maximum2020-11-11 20:49:04
2025-02-26T17:42:37.908443image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:42:37.964014image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_startlanguage
Text

start language

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2025-02-26T17:42:38.003432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.012135922
Min length2

Characters and Unicode

Total characters829
Distinct characters9
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

Unique1 ?
Unique (%)0.2%

Sample

1st rowda
2nd rowda
3rd rowen
4th rowen
5th rowen
ValueCountFrequency (%)
en 348
84.5%
da 61
 
14.8%
es 2
 
0.5%
zh-hans 1
 
0.2%
2025-02-26T17:42:38.077743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 350
42.2%
n 349
42.1%
a 62
 
7.5%
d 61
 
7.4%
s 3
 
0.4%
z 1
 
0.1%
h 1
 
0.1%
- 1
 
0.1%
H 1
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 829
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 350
42.2%
n 349
42.1%
a 62
 
7.5%
d 61
 
7.4%
s 3
 
0.4%
z 1
 
0.1%
h 1
 
0.1%
- 1
 
0.1%
H 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 829
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 350
42.2%
n 349
42.1%
a 62
 
7.5%
d 61
 
7.4%
s 3
 
0.4%
z 1
 
0.1%
h 1
 
0.1%
- 1
 
0.1%
H 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 829
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 350
42.2%
n 349
42.1%
a 62
 
7.5%
d 61
 
7.4%
s 3
 
0.4%
z 1
 
0.1%
h 1
 
0.1%
- 1
 
0.1%
H 1
 
0.1%

w1_startdate
Date

Start date

Distinct411
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2020-09-28 07:25:16
Maximum2020-11-11 20:25:41
2025-02-26T17:42:38.127637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:42:38.183747image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_datestamp
Date

Unique 

datestamp

Distinct412
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2020-09-28 07:29:48
Maximum2020-11-11 20:49:04
2025-02-26T17:42:38.240165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:42:38.296154image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_refurl
Text

Missing 

reference url

Distinct2
Distinct (%)2.7%
Missing338
Missing (%)82.0%
Memory size4.1 KiB
2025-02-26T17:42:38.363301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.2027027
Min length10

Characters and Unicode

Total characters755
Distinct characters15
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 rowlimesurvey
2nd rowlimesurvey
3rd rowandroid-gmail
4th rowlimesurvey
5th rowlimesurvey
ValueCountFrequency (%)
limesurvey 69
93.2%
android-gmail 5
 
6.8%
2025-02-26T17:42:38.475677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 138
18.3%
i 79
10.5%
l 74
9.8%
m 74
9.8%
r 74
9.8%
s 69
9.1%
u 69
9.1%
v 69
9.1%
y 69
9.1%
a 10
 
1.3%
Other values (5) 30
 
4.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 755
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 138
18.3%
i 79
10.5%
l 74
9.8%
m 74
9.8%
r 74
9.8%
s 69
9.1%
u 69
9.1%
v 69
9.1%
y 69
9.1%
a 10
 
1.3%
Other values (5) 30
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 755
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 138
18.3%
i 79
10.5%
l 74
9.8%
m 74
9.8%
r 74
9.8%
s 69
9.1%
u 69
9.1%
v 69
9.1%
y 69
9.1%
a 10
 
1.3%
Other values (5) 30
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 755
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 138
18.3%
i 79
10.5%
l 74
9.8%
m 74
9.8%
r 74
9.8%
s 69
9.1%
u 69
9.1%
v 69
9.1%
y 69
9.1%
a 10
 
1.3%
Other values (5) 30
 
4.0%

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 (%)0.6%
Missing96
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean1.050632911
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:38.517799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.25
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2195946729
Coefficient of variation (CV)0.2090117971
Kurtosis15.05949055
Mean1.050632911
Median Absolute Deviation (MAD)0
Skewness4.118763842
Sum332
Variance0.04822182037
MonotonicityDecreasing
2025-02-26T17:42:38.555994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 300
72.8%
2 16
 
3.9%
(Missing) 96
 
23.3%
ValueCountFrequency (%)
1 300
72.8%
2 16
 
3.9%
ValueCountFrequency (%)
2 16
 
3.9%
1 300
72.8%

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 (%)0.6%
Missing96
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean1.199367089
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:38.592877image/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 deviation0.4001581966
Coefficient of variation (CV)0.3336411349
Kurtosis0.2883547247
Mean1.199367089
Median Absolute Deviation (MAD)0
Skewness1.512140815
Sum379
Variance0.1601265823
MonotonicityNot monotonic
2025-02-26T17:42:38.630951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 253
61.4%
2 63
 
15.3%
(Missing) 96
 
23.3%
ValueCountFrequency (%)
1 253
61.4%
2 63
 
15.3%
ValueCountFrequency (%)
2 63
 
15.3%
1 253
61.4%

w1_A01
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing137
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean1.570909091
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:38.667224image/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 deviation0.4958487258
Coefficient of variation (CV)0.3156444435
Kurtosis-1.931092528
Mean1.570909091
Median Absolute Deviation (MAD)0
Skewness-0.2881063022
Sum432
Variance0.2458659589
MonotonicityNot monotonic
2025-02-26T17:42:38.706385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 157
38.1%
1 118
28.6%
(Missing) 137
33.3%
ValueCountFrequency (%)
1 118
28.6%
2 157
38.1%
ValueCountFrequency (%)
2 157
38.1%
1 118
28.6%

w1_A02
Real number (ℝ)

Missing 

When were you born? Year:

Distinct30
Distinct (%)11.1%
Missing141
Missing (%)34.2%
Infinite0
Infinite (%)0.0%
Mean1993.04797
Minimum1967
Maximum2001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:38.746987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1967
5-th percentile1980.5
Q11991
median1995
Q31997
95-th percentile1999
Maximum2001
Range34
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.820263575
Coefficient of variation (CV)0.002920282734
Kurtosis3.715912369
Mean1993.04797
Median Absolute Deviation (MAD)3
Skewness-1.77408647
Sum540116
Variance33.87546809
MonotonicityNot monotonic
2025-02-26T17:42:38.794134image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1996 34
 
8.3%
1997 29
 
7.0%
1995 28
 
6.8%
1994 25
 
6.1%
1999 21
 
5.1%
1998 18
 
4.4%
1993 18
 
4.4%
1992 15
 
3.6%
1991 14
 
3.4%
1990 13
 
3.2%
Other values (20) 56
 
13.6%
(Missing) 141
34.2%
ValueCountFrequency (%)
1967 1
0.2%
1970 1
0.2%
1971 1
0.2%
1973 2
0.5%
1976 1
0.2%
ValueCountFrequency (%)
2001 3
 
0.7%
2000 5
 
1.2%
1999 21
5.1%
1998 18
4.4%
1997 29
7.0%

w1_A03
Real number (ℝ)

Missing 

What is your nationality? [List, see Appendix]

Distinct54
Distinct (%)18.0%
Missing112
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean82.99333333
Minimum4
Maximum214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:38.844506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile34
Q155
median55
Q3104
95-th percentile188.05
Maximum214
Range210
Interquartile range (IQR)49

Descriptive statistics

Standard deviation48.19442184
Coefficient of variation (CV)0.5807023276
Kurtosis-0.03915600094
Mean82.99333333
Median Absolute Deviation (MAD)0
Skewness1.036397623
Sum24898
Variance2322.702297
MonotonicityNot monotonic
2025-02-26T17:42:38.894702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 154
37.4%
104 16
 
3.9%
165 11
 
2.7%
189 9
 
2.2%
145 9
 
2.2%
84 6
 
1.5%
80 6
 
1.5%
16 5
 
1.2%
182 5
 
1.2%
34 5
 
1.2%
Other values (44) 74
18.0%
(Missing) 112
27.2%
ValueCountFrequency (%)
4 4
1.0%
8 2
 
0.5%
11 1
 
0.2%
16 5
1.2%
31 1
 
0.2%
ValueCountFrequency (%)
214 1
0.2%
212 1
0.2%
202 1
0.2%
195 1
0.2%
194 1
0.2%

w1_A03JLU
Unsupported

Missing  Rejected  Unsupported 

What is your nationality? [List, see Appendix]

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_A04AMRITA
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_A04AMRITA_other
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_A04AAU
Real number (ℝ)

Missing 

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

Distinct12
Distinct (%)4.5%
Missing147
Missing (%)35.7%
Infinite0
Infinite (%)0.0%
Mean4.21509434
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:38.935602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile10
Maximum13
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.868810612
Coefficient of variation (CV)0.6806041291
Kurtosis0.6890649599
Mean4.21509434
Median Absolute Deviation (MAD)2
Skewness1.149721135
Sum1117
Variance8.230074328
MonotonicityNot monotonic
2025-02-26T17:42:38.975125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 109
26.5%
6 45
 
10.9%
5 38
 
9.2%
1 17
 
4.1%
4 14
 
3.4%
10 14
 
3.4%
3 9
 
2.2%
11 9
 
2.2%
13 4
 
1.0%
9 2
 
0.5%
Other values (2) 4
 
1.0%
(Missing) 147
35.7%
ValueCountFrequency (%)
1 17
 
4.1%
2 109
26.5%
3 9
 
2.2%
4 14
 
3.4%
5 38
 
9.2%
ValueCountFrequency (%)
13 4
 
1.0%
11 9
2.2%
10 14
3.4%
9 2
 
0.5%
8 2
 
0.5%

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

Missing412
Missing (%)100.0%
Memory size3.8 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

Missing412
Missing (%)100.0%
Memory size3.8 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

Missing412
Missing (%)100.0%
Memory size3.8 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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_A04UNITN
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_A04IPICYT
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_A05
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing138
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean1.722627737
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.013455image/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 deviation0.4485210047
Coefficient of variation (CV)0.2603702443
Kurtosis-1.007369245
Mean1.722627737
Median Absolute Deviation (MAD)0
Skewness-1.000018744
Sum472
Variance0.2011710917
MonotonicityNot monotonic
2025-02-26T17:42:39.051131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 198
48.1%
1 76
 
18.4%
(Missing) 138
33.5%
ValueCountFrequency (%)
1 76
 
18.4%
2 198
48.1%
ValueCountFrequency (%)
2 198
48.1%
1 76
 
18.4%

w1_A05UNITN
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_A06
Real number (ℝ)

Missing 

Programme: 1. Full Time, 2. Part Time

Distinct2
Distinct (%)0.7%
Missing138
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean1.00729927
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.087159image/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 deviation0.08527914645
Coefficient of variation (CV)0.08466118162
Kurtosis134.4705071
Mean1.00729927
Median Absolute Deviation (MAD)0
Skewness11.63997413
Sum276
Variance0.00727253282
MonotonicityNot monotonic
2025-02-26T17:42:39.125133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 272
66.0%
2 2
 
0.5%
(Missing) 138
33.5%
ValueCountFrequency (%)
1 272
66.0%
2 2
 
0.5%
ValueCountFrequency (%)
2 2
 
0.5%
1 272
66.0%

w1_A07
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)2.3%
Missing149
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean2.186311787
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.161166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.313277356
Coefficient of variation (CV)0.6006816428
Kurtosis0.5596467226
Mean2.186311787
Median Absolute Deviation (MAD)1
Skewness1.159298332
Sum575
Variance1.724697414
MonotonicityNot monotonic
2025-02-26T17:42:39.199000image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 99
24.0%
2 87
21.1%
3 37
 
9.0%
5 21
 
5.1%
4 14
 
3.4%
6 5
 
1.2%
(Missing) 149
36.2%
ValueCountFrequency (%)
1 99
24.0%
2 87
21.1%
3 37
 
9.0%
4 14
 
3.4%
5 21
 
5.1%
ValueCountFrequency (%)
6 5
 
1.2%
5 21
 
5.1%
4 14
 
3.4%
3 37
9.0%
2 87
21.1%

w1_A08
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing145
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean1.04494382
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.236552image/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 deviation0.2075698465
Coefficient of variation (CV)0.1986421112
Kurtosis17.6482094
Mean1.04494382
Median Absolute Deviation (MAD)0
Skewness4.417699138
Sum279
Variance0.04308524119
MonotonicityNot monotonic
2025-02-26T17:42:39.273770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 255
61.9%
2 12
 
2.9%
(Missing) 145
35.2%
ValueCountFrequency (%)
1 255
61.9%
2 12
 
2.9%
ValueCountFrequency (%)
2 12
 
2.9%
1 255
61.9%

w1_A09
Real number (ℝ)

Missing 

[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]

Distinct4
Distinct (%)1.5%
Missing138
Missing (%)33.5%
Infinite0
Infinite (%)0.0%
Mean1.379562044
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.308902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6476939862
Coefficient of variation (CV)0.4694924662
Kurtosis3.179192429
Mean1.379562044
Median Absolute Deviation (MAD)0
Skewness1.80086131
Sum378
Variance0.4195074998
MonotonicityNot monotonic
2025-02-26T17:42:39.408536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 191
46.4%
2 66
 
16.0%
3 13
 
3.2%
4 4
 
1.0%
(Missing) 138
33.5%
ValueCountFrequency (%)
1 191
46.4%
2 66
 
16.0%
3 13
 
3.2%
4 4
 
1.0%
ValueCountFrequency (%)
4 4
 
1.0%
3 13
 
3.2%
2 66
 
16.0%
1 191
46.4%

w1_A09UNITN
Unsupported

Missing  Rejected  Unsupported 

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)

Missing412
Missing (%)100.0%
Memory size3.8 KiB

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)

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_A10UNITN
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_A10AAU
Real number (ℝ)

Missing 

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

Distinct9
Distinct (%)5.0%
Missing233
Missing (%)56.6%
Infinite0
Infinite (%)0.0%
Mean3.977653631
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.445176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile8.1
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.273331731
Coefficient of variation (CV)0.5715258145
Kurtosis-0.6054258481
Mean3.977653631
Median Absolute Deviation (MAD)2
Skewness0.416690206
Sum712
Variance5.16803716
MonotonicityNot monotonic
2025-02-26T17:42:39.487896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 36
 
8.7%
1 31
 
7.5%
2 31
 
7.5%
6 23
 
5.6%
4 22
 
5.3%
3 16
 
3.9%
9 9
 
2.2%
8 7
 
1.7%
7 4
 
1.0%
(Missing) 233
56.6%
ValueCountFrequency (%)
1 31
7.5%
2 31
7.5%
3 16
3.9%
4 22
5.3%
5 36
8.7%
ValueCountFrequency (%)
9 9
 
2.2%
8 7
 
1.7%
7 4
 
1.0%
6 23
5.6%
5 36
8.7%

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]

Missing412
Missing (%)100.0%
Memory size3.8 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

Missing412
Missing (%)100.0%
Memory size3.4 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

Missing412
Missing (%)100.0%
Memory size3.8 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]

Missing412
Missing (%)100.0%
Memory size3.8 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

Missing412
Missing (%)100.0%
Memory size3.8 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

Distinct7
Distinct (%)2.6%
Missing143
Missing (%)34.7%
Infinite0
Infinite (%)0.0%
Mean4.639405204
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.527744image/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 deviation1.606914055
Coefficient of variation (CV)0.3463620839
Kurtosis0.9980154922
Mean4.639405204
Median Absolute Deviation (MAD)0
Skewness-1.387782333
Sum1248
Variance2.582172779
MonotonicityNot monotonic
2025-02-26T17:42:39.567754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 140
34.0%
6 63
15.3%
1 36
 
8.7%
4 19
 
4.6%
7 6
 
1.5%
2 4
 
1.0%
8 1
 
0.2%
(Missing) 143
34.7%
ValueCountFrequency (%)
1 36
 
8.7%
2 4
 
1.0%
4 19
 
4.6%
5 140
34.0%
6 63
15.3%
ValueCountFrequency (%)
8 1
 
0.2%
7 6
 
1.5%
6 63
15.3%
5 140
34.0%
4 19
 
4.6%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean2.85106383
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.606603image/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 deviation1.187159279
Coefficient of variation (CV)0.4163916875
Kurtosis-0.9852837133
Mean2.85106383
Median Absolute Deviation (MAD)1
Skewness-0.1413575505
Sum670
Variance1.409347154
MonotonicityNot monotonic
2025-02-26T17:42:39.648337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 68
 
16.5%
4 66
 
16.0%
2 45
 
10.9%
1 42
 
10.2%
5 14
 
3.4%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 42
10.2%
2 45
10.9%
3 68
16.5%
4 66
16.0%
5 14
 
3.4%
ValueCountFrequency (%)
5 14
 
3.4%
4 66
16.0%
3 68
16.5%
2 45
10.9%
1 42
10.2%

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

Distinct4
Distinct (%)1.7%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean4.395744681
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.687080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7401655644
Coefficient of variation (CV)0.168382292
Kurtosis2.373839806
Mean4.395744681
Median Absolute Deviation (MAD)0
Skewness-1.421827423
Sum1033
Variance0.5478450627
MonotonicityNot monotonic
2025-02-26T17:42:39.724056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 119
28.9%
4 100
24.3%
2 10
 
2.4%
3 6
 
1.5%
(Missing) 177
43.0%
ValueCountFrequency (%)
2 10
 
2.4%
3 6
 
1.5%
4 100
24.3%
5 119
28.9%
ValueCountFrequency (%)
5 119
28.9%
4 100
24.3%
3 6
 
1.5%
2 10
 
2.4%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean3.387234043
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.762467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.105080927
Coefficient of variation (CV)0.3262487661
Kurtosis-0.5839468567
Mean3.387234043
Median Absolute Deviation (MAD)1
Skewness-0.4874300768
Sum796
Variance1.221203855
MonotonicityNot monotonic
2025-02-26T17:42:39.802500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 99
24.0%
3 49
 
11.9%
2 42
 
10.2%
5 31
 
7.5%
1 14
 
3.4%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 14
 
3.4%
2 42
10.2%
3 49
11.9%
4 99
24.0%
5 31
 
7.5%
ValueCountFrequency (%)
5 31
 
7.5%
4 99
24.0%
3 49
11.9%
2 42
10.2%
1 14
 
3.4%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean3.029787234
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.842779image/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 deviation1.234807659
Coefficient of variation (CV)0.4075558987
Kurtosis-0.9922221252
Mean3.029787234
Median Absolute Deviation (MAD)1
Skewness-0.1943359593
Sum712
Variance1.524749955
MonotonicityNot monotonic
2025-02-26T17:42:39.883928image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 72
17.5%
3 58
 
14.1%
2 45
 
10.9%
1 35
 
8.5%
5 25
 
6.1%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 35
8.5%
2 45
10.9%
3 58
14.1%
4 72
17.5%
5 25
 
6.1%
ValueCountFrequency (%)
5 25
 
6.1%
4 72
17.5%
3 58
14.1%
2 45
10.9%
1 35
8.5%

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 (%)2.1%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean3.978632479
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:39.925013image/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 deviation0.8908046283
Coefficient of variation (CV)0.2238971891
Kurtosis0.7672865483
Mean3.978632479
Median Absolute Deviation (MAD)1
Skewness-0.8766021552
Sum931
Variance0.7935328858
MonotonicityNot monotonic
2025-02-26T17:42:39.965032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 112
27.2%
5 68
 
16.5%
3 38
 
9.2%
2 13
 
3.2%
1 3
 
0.7%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 3
 
0.7%
2 13
 
3.2%
3 38
 
9.2%
4 112
27.2%
5 68
16.5%
ValueCountFrequency (%)
5 68
16.5%
4 112
27.2%
3 38
 
9.2%
2 13
 
3.2%
1 3
 
0.7%

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 (%)2.2%
Missing180
Missing (%)43.7%
Infinite0
Infinite (%)0.0%
Mean2.784482759
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.005296image/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 deviation1.182894202
Coefficient of variation (CV)0.4248164935
Kurtosis-0.9516504871
Mean2.784482759
Median Absolute Deviation (MAD)1
Skewness0.0139918025
Sum646
Variance1.399238692
MonotonicityNot monotonic
2025-02-26T17:42:40.046781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 66
 
16.0%
4 56
 
13.6%
2 54
 
13.1%
1 41
 
10.0%
5 15
 
3.6%
(Missing) 180
43.7%
ValueCountFrequency (%)
1 41
10.0%
2 54
13.1%
3 66
16.0%
4 56
13.6%
5 15
 
3.6%
ValueCountFrequency (%)
5 15
 
3.6%
4 56
13.6%
3 66
16.0%
2 54
13.1%
1 41
10.0%

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 (%)2.1%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean1.987179487
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.086525image/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 deviation1.008465325
Coefficient of variation (CV)0.5074857763
Kurtosis0.6796813541
Mean1.987179487
Median Absolute Deviation (MAD)1
Skewness1.038785942
Sum465
Variance1.017002311
MonotonicityNot monotonic
2025-02-26T17:42:40.126508image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 93
22.6%
1 86
20.9%
3 33
 
8.0%
4 16
 
3.9%
5 6
 
1.5%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 86
20.9%
2 93
22.6%
3 33
 
8.0%
4 16
 
3.9%
5 6
 
1.5%
ValueCountFrequency (%)
5 6
 
1.5%
4 16
 
3.9%
3 33
 
8.0%
2 93
22.6%
1 86
20.9%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean2.344680851
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.165285image/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 deviation1.252486162
Coefficient of variation (CV)0.5341819384
Kurtosis-0.813901512
Mean2.344680851
Median Absolute Deviation (MAD)1
Skewness0.5874720002
Sum551
Variance1.568721586
MonotonicityNot monotonic
2025-02-26T17:42:40.207004image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 75
18.2%
2 72
17.5%
4 40
 
9.7%
3 34
 
8.3%
5 14
 
3.4%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 75
18.2%
2 72
17.5%
3 34
8.3%
4 40
9.7%
5 14
 
3.4%
ValueCountFrequency (%)
5 14
 
3.4%
4 40
9.7%
3 34
8.3%
2 72
17.5%
1 75
18.2%

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 (%)2.1%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean3.081196581
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.247104image/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 deviation1.167252129
Coefficient of variation (CV)0.378830788
Kurtosis-1.042194929
Mean3.081196581
Median Absolute Deviation (MAD)1
Skewness-0.06111998279
Sum721
Variance1.362477532
MonotonicityNot monotonic
2025-02-26T17:42:40.288753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 75
18.2%
2 68
 
16.5%
3 47
 
11.4%
5 25
 
6.1%
1 19
 
4.6%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 19
 
4.6%
2 68
16.5%
3 47
11.4%
4 75
18.2%
5 25
 
6.1%
ValueCountFrequency (%)
5 25
 
6.1%
4 75
18.2%
3 47
11.4%
2 68
16.5%
1 19
 
4.6%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean2.153191489
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.328732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.110334335
Coefficient of variation (CV)0.515669108
Kurtosis0.3034479113
Mean2.153191489
Median Absolute Deviation (MAD)1
Skewness0.9590223051
Sum506
Variance1.232842335
MonotonicityNot monotonic
2025-02-26T17:42:40.368082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 94
22.8%
1 74
18.0%
3 36
 
8.7%
4 19
 
4.6%
5 12
 
2.9%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 74
18.0%
2 94
22.8%
3 36
 
8.7%
4 19
 
4.6%
5 12
 
2.9%
ValueCountFrequency (%)
5 12
 
2.9%
4 19
 
4.6%
3 36
 
8.7%
2 94
22.8%
1 74
18.0%

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 (%)2.1%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean3.055555556
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.407654image/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 deviation1.257215702
Coefficient of variation (CV)0.4114524115
Kurtosis-1.070144394
Mean3.055555556
Median Absolute Deviation (MAD)1
Skewness-0.1054787884
Sum715
Variance1.580591321
MonotonicityNot monotonic
2025-02-26T17:42:40.448763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 67
 
16.3%
2 54
 
13.1%
3 51
 
12.4%
5 31
 
7.5%
1 31
 
7.5%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 31
7.5%
2 54
13.1%
3 51
12.4%
4 67
16.3%
5 31
7.5%
ValueCountFrequency (%)
5 31
7.5%
4 67
16.3%
3 51
12.4%
2 54
13.1%
1 31
7.5%

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 (%)2.1%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean4.085470085
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.489854image/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 deviation0.8747546518
Coefficient of variation (CV)0.2141135863
Kurtosis0.7970583312
Mean4.085470085
Median Absolute Deviation (MAD)1
Skewness-0.9433096211
Sum956
Variance0.7651957008
MonotonicityNot monotonic
2025-02-26T17:42:40.530171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 106
25.7%
5 82
19.9%
3 32
 
7.8%
2 12
 
2.9%
1 2
 
0.5%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 2
 
0.5%
2 12
 
2.9%
3 32
 
7.8%
4 106
25.7%
5 82
19.9%
ValueCountFrequency (%)
5 82
19.9%
4 106
25.7%
3 32
 
7.8%
2 12
 
2.9%
1 2
 
0.5%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean3.842553191
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.569547image/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 deviation1.080468536
Coefficient of variation (CV)0.2811850564
Kurtosis-0.03817476019
Mean3.842553191
Median Absolute Deviation (MAD)1
Skewness-0.7895295662
Sum903
Variance1.167412257
MonotonicityNot monotonic
2025-02-26T17:42:40.609860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 86
20.9%
5 75
18.2%
3 44
 
10.7%
2 22
 
5.3%
1 8
 
1.9%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 8
 
1.9%
2 22
 
5.3%
3 44
10.7%
4 86
20.9%
5 75
18.2%
ValueCountFrequency (%)
5 75
18.2%
4 86
20.9%
3 44
10.7%
2 22
 
5.3%
1 8
 
1.9%

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 (%)2.1%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean2.713675214
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.651773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4.35
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.18251975
Coefficient of variation (CV)0.4357631834
Kurtosis-1.079734233
Mean2.713675214
Median Absolute Deviation (MAD)1
Skewness0.116129879
Sum635
Variance1.398352958
MonotonicityNot monotonic
2025-02-26T17:42:40.694166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 71
 
17.2%
4 62
 
15.0%
3 48
 
11.7%
1 41
 
10.0%
5 12
 
2.9%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 41
10.0%
2 71
17.2%
3 48
11.7%
4 62
15.0%
5 12
 
2.9%
ValueCountFrequency (%)
5 12
 
2.9%
4 62
15.0%
3 48
11.7%
2 71
17.2%
1 41
10.0%

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 (%)2.1%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean2.247863248
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.734419image/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 deviation1.087628305
Coefficient of variation (CV)0.4838498541
Kurtosis0.01388357002
Mean2.247863248
Median Absolute Deviation (MAD)1
Skewness0.8057676043
Sum526
Variance1.182935329
MonotonicityNot monotonic
2025-02-26T17:42:40.775723image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 99
24.0%
1 61
 
14.8%
3 39
 
9.5%
4 25
 
6.1%
5 10
 
2.4%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 61
14.8%
2 99
24.0%
3 39
 
9.5%
4 25
 
6.1%
5 10
 
2.4%
ValueCountFrequency (%)
5 10
 
2.4%
4 25
 
6.1%
3 39
 
9.5%
2 99
24.0%
1 61
14.8%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean2.829787234
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.815073image/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 deviation1.119354762
Coefficient of variation (CV)0.3955614572
Kurtosis-0.7297330956
Mean2.829787234
Median Absolute Deviation (MAD)1
Skewness0.008831491041
Sum665
Variance1.252955083
MonotonicityNot monotonic
2025-02-26T17:42:40.854675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 79
19.2%
2 56
 
13.6%
4 52
 
12.6%
1 33
 
8.0%
5 15
 
3.6%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 33
8.0%
2 56
13.6%
3 79
19.2%
4 52
12.6%
5 15
 
3.6%
ValueCountFrequency (%)
5 15
 
3.6%
4 52
12.6%
3 79
19.2%
2 56
13.6%
1 33
8.0%

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

Distinct4
Distinct (%)1.7%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean1.795744681
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.893061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9015555045
Coefficient of variation (CV)0.5020510511
Kurtosis0.483634221
Mean1.795744681
Median Absolute Deviation (MAD)1
Skewness1.085495766
Sum422
Variance0.8128023277
MonotonicityNot monotonic
2025-02-26T17:42:40.929430image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 105
25.5%
2 92
22.3%
3 19
 
4.6%
4 19
 
4.6%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 105
25.5%
2 92
22.3%
3 19
 
4.6%
4 19
 
4.6%
ValueCountFrequency (%)
4 19
 
4.6%
3 19
 
4.6%
2 92
22.3%
1 105
25.5%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean2.204255319
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:40.966669image/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 deviation1.102048878
Coefficient of variation (CV)0.4999642593
Kurtosis-0.6337031682
Mean2.204255319
Median Absolute Deviation (MAD)1
Skewness0.5727329214
Sum518
Variance1.214511729
MonotonicityNot monotonic
2025-02-26T17:42:41.007787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 77
18.7%
2 74
18.0%
3 48
 
11.7%
4 31
 
7.5%
5 5
 
1.2%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 77
18.7%
2 74
18.0%
3 48
11.7%
4 31
7.5%
5 5
 
1.2%
ValueCountFrequency (%)
5 5
 
1.2%
4 31
7.5%
3 48
11.7%
2 74
18.0%
1 77
18.7%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean2.642553191
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.047362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33.5
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.132228851
Coefficient of variation (CV)0.4284601933
Kurtosis-0.8472875161
Mean2.642553191
Median Absolute Deviation (MAD)1
Skewness0.1853227268
Sum621
Variance1.281942171
MonotonicityNot monotonic
2025-02-26T17:42:41.089524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 70
 
17.0%
3 64
 
15.5%
4 48
 
11.7%
1 42
 
10.2%
5 11
 
2.7%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 42
10.2%
2 70
17.0%
3 64
15.5%
4 48
11.7%
5 11
 
2.7%
ValueCountFrequency (%)
5 11
 
2.7%
4 48
11.7%
3 64
15.5%
2 70
17.0%
1 42
10.2%

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 (%)2.1%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean1.863829787
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.129915image/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 deviation0.973237072
Coefficient of variation (CV)0.5221705751
Kurtosis0.8843751305
Mean1.863829787
Median Absolute Deviation (MAD)1
Skewness1.146168532
Sum438
Variance0.9471903983
MonotonicityNot monotonic
2025-02-26T17:42:41.170674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 102
24.8%
2 86
20.9%
3 28
 
6.8%
4 15
 
3.6%
5 4
 
1.0%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 102
24.8%
2 86
20.9%
3 28
 
6.8%
4 15
 
3.6%
5 4
 
1.0%
ValueCountFrequency (%)
5 4
 
1.0%
4 15
 
3.6%
3 28
 
6.8%
2 86
20.9%
1 102
24.8%

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 (%)3.0%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean5.641025641
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.208187image/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 deviation1.370827503
Coefficient of variation (CV)0.24301033
Kurtosis0.2337657235
Mean5.641025641
Median Absolute Deviation (MAD)1
Skewness-0.9236531157
Sum1320
Variance1.879168042
MonotonicityNot monotonic
2025-02-26T17:42:41.243864image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 81
19.7%
6 62
 
15.0%
5 45
 
10.9%
4 26
 
6.3%
3 13
 
3.2%
2 6
 
1.5%
1 1
 
0.2%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 1
 
0.2%
2 6
 
1.5%
3 13
 
3.2%
4 26
6.3%
5 45
10.9%
ValueCountFrequency (%)
7 81
19.7%
6 62
15.0%
5 45
10.9%
4 26
 
6.3%
3 13
 
3.2%

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 (%)3.0%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean5.226495726
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.279419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14.25
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.278739532
Coefficient of variation (CV)0.2446648002
Kurtosis0.215328406
Mean5.226495726
Median Absolute Deviation (MAD)1
Skewness-0.5684957247
Sum1223
Variance1.635174792
MonotonicityNot monotonic
2025-02-26T17:42:41.316608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 74
18.0%
6 60
 
14.6%
7 41
 
10.0%
4 37
 
9.0%
3 16
 
3.9%
2 4
 
1.0%
1 2
 
0.5%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 2
 
0.5%
2 4
 
1.0%
3 16
 
3.9%
4 37
9.0%
5 74
18.0%
ValueCountFrequency (%)
7 41
10.0%
6 60
14.6%
5 74
18.0%
4 37
9.0%
3 16
 
3.9%

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 (%)3.0%
Missing179
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean4.317596567
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.353243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.587257793
Coefficient of variation (CV)0.3676253139
Kurtosis-0.6926461676
Mean4.317596567
Median Absolute Deviation (MAD)1
Skewness-0.1808767132
Sum1006
Variance2.519387302
MonotonicityNot monotonic
2025-02-26T17:42:41.390196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 58
 
14.1%
4 51
 
12.4%
6 34
 
8.3%
3 32
 
7.8%
2 28
 
6.8%
7 21
 
5.1%
1 9
 
2.2%
(Missing) 179
43.4%
ValueCountFrequency (%)
1 9
 
2.2%
2 28
6.8%
3 32
7.8%
4 51
12.4%
5 58
14.1%
ValueCountFrequency (%)
7 21
 
5.1%
6 34
8.3%
5 58
14.1%
4 51
12.4%
3 32
7.8%

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.

Distinct6
Distinct (%)2.6%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean5.337606838
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.427740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median6
Q36
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.284321199
Coefficient of variation (CV)0.2406174225
Kurtosis-0.3203720957
Mean5.337606838
Median Absolute Deviation (MAD)1
Skewness-0.5788116195
Sum1249
Variance1.649480943
MonotonicityNot monotonic
2025-02-26T17:42:41.531546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 77
18.7%
5 51
 
12.4%
7 45
 
10.9%
4 40
 
9.7%
3 15
 
3.6%
2 6
 
1.5%
(Missing) 178
43.2%
ValueCountFrequency (%)
2 6
 
1.5%
3 15
 
3.6%
4 40
9.7%
5 51
12.4%
6 77
18.7%
ValueCountFrequency (%)
7 45
10.9%
6 77
18.7%
5 51
12.4%
4 40
9.7%
3 15
 
3.6%

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 (%)3.0%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean5.30212766
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.565343image/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 deviation1.313228123
Coefficient of variation (CV)0.2476794614
Kurtosis-0.1024555037
Mean5.30212766
Median Absolute Deviation (MAD)1
Skewness-0.6075858028
Sum1246
Variance1.724568103
MonotonicityNot monotonic
2025-02-26T17:42:41.603209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 71
17.2%
5 56
 
13.6%
7 46
 
11.2%
4 40
 
9.7%
3 15
 
3.6%
2 6
 
1.5%
1 1
 
0.2%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 1
 
0.2%
2 6
 
1.5%
3 15
 
3.6%
4 40
9.7%
5 56
13.6%
ValueCountFrequency (%)
7 46
11.2%
6 71
17.2%
5 56
13.6%
4 40
9.7%
3 15
 
3.6%

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 (%)3.0%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean3.70212766
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.638999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6.3
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.589426785
Coefficient of variation (CV)0.4293279247
Kurtosis-0.6532245438
Mean3.70212766
Median Absolute Deviation (MAD)1
Skewness0.1379056294
Sum870
Variance2.526277505
MonotonicityNot monotonic
2025-02-26T17:42:41.675526image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 59
 
14.3%
5 43
 
10.4%
2 42
 
10.2%
3 41
 
10.0%
1 20
 
4.9%
6 18
 
4.4%
7 12
 
2.9%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 20
 
4.9%
2 42
10.2%
3 41
10.0%
4 59
14.3%
5 43
10.4%
ValueCountFrequency (%)
7 12
 
2.9%
6 18
 
4.4%
5 43
10.4%
4 59
14.3%
3 41
10.0%

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 (%)3.0%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean5.8
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.711737image/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 deviation1.273664878
Coefficient of variation (CV)0.2195973928
Kurtosis1.095116279
Mean5.8
Median Absolute Deviation (MAD)1
Skewness-1.158524335
Sum1363
Variance1.622222222
MonotonicityNot monotonic
2025-02-26T17:42:41.747042image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 86
20.9%
6 72
17.5%
5 42
 
10.2%
4 21
 
5.1%
3 8
 
1.9%
2 5
 
1.2%
1 1
 
0.2%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 1
 
0.2%
2 5
 
1.2%
3 8
 
1.9%
4 21
5.1%
5 42
10.2%
ValueCountFrequency (%)
7 86
20.9%
6 72
17.5%
5 42
10.2%
4 21
 
5.1%
3 8
 
1.9%

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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Distinct6
Distinct (%)2.6%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean5.476595745
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.785231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.390783578
Coefficient of variation (CV)0.2539503813
Kurtosis-0.2292572734
Mean5.476595745
Median Absolute Deviation (MAD)1
Skewness-0.6963047296
Sum1287
Variance1.93427896
MonotonicityNot monotonic
2025-02-26T17:42:41.824066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 72
17.5%
5 62
 
15.0%
6 51
 
12.4%
4 26
 
6.3%
3 15
 
3.6%
2 9
 
2.2%
(Missing) 177
43.0%
ValueCountFrequency (%)
2 9
 
2.2%
3 15
 
3.6%
4 26
6.3%
5 62
15.0%
6 51
12.4%
ValueCountFrequency (%)
7 72
17.5%
6 51
12.4%
5 62
15.0%
4 26
 
6.3%
3 15
 
3.6%

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 (%)3.0%
Missing180
Missing (%)43.7%
Infinite0
Infinite (%)0.0%
Mean4.818965517
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.858661image/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 deviation1.500932685
Coefficient of variation (CV)0.3114636699
Kurtosis-0.4700696023
Mean4.818965517
Median Absolute Deviation (MAD)1
Skewness-0.4468209555
Sum1118
Variance2.252798925
MonotonicityNot monotonic
2025-02-26T17:42:41.896084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 64
 
15.5%
6 52
 
12.6%
4 37
 
9.0%
7 31
 
7.5%
3 29
 
7.0%
2 15
 
3.6%
1 4
 
1.0%
(Missing) 180
43.7%
ValueCountFrequency (%)
1 4
 
1.0%
2 15
 
3.6%
3 29
7.0%
4 37
9.0%
5 64
15.5%
ValueCountFrequency (%)
7 31
7.5%
6 52
12.6%
5 64
15.5%
4 37
9.0%
3 29
7.0%

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 (%)3.0%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean3.804255319
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:41.931350image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6.3
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.636908365
Coefficient of variation (CV)0.4302835187
Kurtosis-0.9327310543
Mean3.804255319
Median Absolute Deviation (MAD)1
Skewness0.1119848677
Sum894
Variance2.679468994
MonotonicityNot monotonic
2025-02-26T17:42:41.968002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 52
 
12.6%
3 48
 
11.7%
2 45
 
10.9%
4 36
 
8.7%
6 26
 
6.3%
1 16
 
3.9%
7 12
 
2.9%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 16
 
3.9%
2 45
10.9%
3 48
11.7%
4 36
8.7%
5 52
12.6%
ValueCountFrequency (%)
7 12
 
2.9%
6 26
6.3%
5 52
12.6%
4 36
8.7%
3 48
11.7%

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 (%)3.0%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean4.391489362
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.004003image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.697135569
Coefficient of variation (CV)0.3864601344
Kurtosis-0.7725874343
Mean4.391489362
Median Absolute Deviation (MAD)1
Skewness-0.211331082
Sum1032
Variance2.88026914
MonotonicityNot monotonic
2025-02-26T17:42:42.042186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 52
 
12.6%
5 49
 
11.9%
6 36
 
8.7%
3 30
 
7.3%
7 30
 
7.3%
2 25
 
6.1%
1 13
 
3.2%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 13
 
3.2%
2 25
6.1%
3 30
7.3%
4 52
12.6%
5 49
11.9%
ValueCountFrequency (%)
7 30
7.3%
6 36
8.7%
5 49
11.9%
4 52
12.6%
3 30
7.3%

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 (%)3.0%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean5.102564103
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.078050image/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 deviation1.419572658
Coefficient of variation (CV)0.2782077068
Kurtosis-0.5099611335
Mean5.102564103
Median Absolute Deviation (MAD)1
Skewness-0.4641404683
Sum1194
Variance2.01518653
MonotonicityNot monotonic
2025-02-26T17:42:42.114596image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 59
 
14.3%
5 58
 
14.1%
7 43
 
10.4%
4 39
 
9.5%
3 24
 
5.8%
2 10
 
2.4%
1 1
 
0.2%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 1
 
0.2%
2 10
 
2.4%
3 24
5.8%
4 39
9.5%
5 58
14.1%
ValueCountFrequency (%)
7 43
10.4%
6 59
14.3%
5 58
14.1%
4 39
9.5%
3 24
5.8%

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.).

Distinct6
Distinct (%)2.6%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean5.025531915
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.152781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median5
Q36
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.364768551
Coefficient of variation (CV)0.2715669852
Kurtosis-0.5682608527
Mean5.025531915
Median Absolute Deviation (MAD)1
Skewness-0.3414699458
Sum1181
Variance1.862593199
MonotonicityNot monotonic
2025-02-26T17:42:42.191515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 74
18.0%
6 50
 
12.1%
7 38
 
9.2%
4 36
 
8.7%
3 27
 
6.6%
2 10
 
2.4%
(Missing) 177
43.0%
ValueCountFrequency (%)
2 10
 
2.4%
3 27
 
6.6%
4 36
8.7%
5 74
18.0%
6 50
12.1%
ValueCountFrequency (%)
7 38
9.2%
6 50
12.1%
5 74
18.0%
4 36
8.7%
3 27
 
6.6%

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 (%)3.0%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean4.982978723
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.226956image/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 deviation1.420141914
Coefficient of variation (CV)0.2849985907
Kurtosis-0.5818105429
Mean4.982978723
Median Absolute Deviation (MAD)1
Skewness-0.3489811366
Sum1171
Variance2.016803055
MonotonicityNot monotonic
2025-02-26T17:42:42.263110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 56
 
13.6%
5 54
 
13.1%
4 52
 
12.6%
7 38
 
9.2%
3 22
 
5.3%
2 12
 
2.9%
1 1
 
0.2%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 1
 
0.2%
2 12
 
2.9%
3 22
5.3%
4 52
12.6%
5 54
13.1%
ValueCountFrequency (%)
7 38
9.2%
6 56
13.6%
5 54
13.1%
4 52
12.6%
3 22
 
5.3%

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 (%)3.0%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean3.659574468
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.298311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.693080384
Coefficient of variation (CV)0.4626440583
Kurtosis-1.002929272
Mean3.659574468
Median Absolute Deviation (MAD)1
Skewness0.1246086139
Sum860
Variance2.866521186
MonotonicityNot monotonic
2025-02-26T17:42:42.335339image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 51
 
12.4%
4 46
 
11.2%
5 42
 
10.2%
3 34
 
8.3%
6 28
 
6.8%
1 24
 
5.8%
7 10
 
2.4%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 24
5.8%
2 51
12.4%
3 34
8.3%
4 46
11.2%
5 42
10.2%
ValueCountFrequency (%)
7 10
 
2.4%
6 28
6.8%
5 42
10.2%
4 46
11.2%
3 34
8.3%

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 (%)3.0%
Missing178
Missing (%)43.2%
Infinite0
Infinite (%)0.0%
Mean6.329059829
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.370705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q16
median7
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.185865239
Coefficient of variation (CV)0.1873683092
Kurtosis4.556262288
Mean6.329059829
Median Absolute Deviation (MAD)0
Skewness-2.172136841
Sum1481
Variance1.406276366
MonotonicityNot monotonic
2025-02-26T17:42:42.408802image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 151
36.7%
6 48
 
11.7%
5 14
 
3.4%
4 9
 
2.2%
3 7
 
1.7%
2 4
 
1.0%
1 1
 
0.2%
(Missing) 178
43.2%
ValueCountFrequency (%)
1 1
 
0.2%
2 4
 
1.0%
3 7
1.7%
4 9
2.2%
5 14
3.4%
ValueCountFrequency (%)
7 151
36.7%
6 48
 
11.7%
5 14
 
3.4%
4 9
 
2.2%
3 7
 
1.7%

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 (%)3.0%
Missing177
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean5.821276596
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.444884image/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 deviation1.230824921
Coefficient of variation (CV)0.2114355676
Kurtosis1.912906479
Mean5.821276596
Median Absolute Deviation (MAD)1
Skewness-1.221872204
Sum1368
Variance1.514929987
MonotonicityNot monotonic
2025-02-26T17:42:42.480429image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 86
20.9%
6 69
 
16.7%
5 48
 
11.7%
4 23
 
5.6%
3 5
 
1.2%
1 3
 
0.7%
2 1
 
0.2%
(Missing) 177
43.0%
ValueCountFrequency (%)
1 3
 
0.7%
2 1
 
0.2%
3 5
 
1.2%
4 23
5.6%
5 48
11.7%
ValueCountFrequency (%)
7 86
20.9%
6 69
16.7%
5 48
11.7%
4 23
 
5.6%
3 5
 
1.2%

w1_B02JLU_1
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_2
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_3
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_4
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_5
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_6
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_7
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_8
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_9
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_10
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_11
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_12
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_13
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_14
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_15
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_16
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_17
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_B02JLU_18
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 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

Distinct9
Distinct (%)5.4%
Missing245
Missing (%)59.5%
Infinite0
Infinite (%)0.0%
Mean1.604790419
Minimum0
Maximum30
Zeros84
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.518905image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.5
95-th percentile4
Maximum30
Range30
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation3.783219264
Coefficient of variation (CV)2.357453795
Kurtosis40.26807781
Mean1.604790419
Median Absolute Deviation (MAD)0
Skewness5.915040805
Sum268
Variance14.312748
MonotonicityNot monotonic
2025-02-26T17:42:42.557034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 84
 
20.4%
1 30
 
7.3%
3 29
 
7.0%
2 11
 
2.7%
4 6
 
1.5%
5 3
 
0.7%
30 2
 
0.5%
10 1
 
0.2%
20 1
 
0.2%
(Missing) 245
59.5%
ValueCountFrequency (%)
0 84
20.4%
1 30
 
7.3%
2 11
 
2.7%
3 29
 
7.0%
4 6
 
1.5%
ValueCountFrequency (%)
30 2
 
0.5%
20 1
 
0.2%
10 1
 
0.2%
5 3
0.7%
4 6
1.5%

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

Distinct8
Distinct (%)5.3%
Missing262
Missing (%)63.6%
Infinite0
Infinite (%)0.0%
Mean0.6666666667
Minimum0
Maximum30
Zeros117
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.595052image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.643636571
Coefficient of variation (CV)3.965454856
Kurtosis103.0950152
Mean0.6666666667
Median Absolute Deviation (MAD)0
Skewness9.439244214
Sum100
Variance6.988814318
MonotonicityNot monotonic
2025-02-26T17:42:42.633424image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 117
28.4%
1 14
 
3.4%
3 9
 
2.2%
2 5
 
1.2%
4 2
 
0.5%
6 1
 
0.2%
5 1
 
0.2%
30 1
 
0.2%
(Missing) 262
63.6%
ValueCountFrequency (%)
0 117
28.4%
1 14
 
3.4%
2 5
 
1.2%
3 9
 
2.2%
4 2
 
0.5%
ValueCountFrequency (%)
30 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%
4 2
 
0.5%
3 9
2.2%

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

Distinct6
Distinct (%)3.9%
Missing259
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean0.6470588235
Minimum0
Maximum30
Zeros112
Zeros (%)27.2%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.671163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.55844985
Coefficient of variation (CV)3.95396795
Kurtosis115.6106689
Mean0.6470588235
Median Absolute Deviation (MAD)0
Skewness10.14006218
Sum99
Variance6.545665635
MonotonicityNot monotonic
2025-02-26T17:42:42.709022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 112
27.2%
1 25
 
6.1%
3 10
 
2.4%
2 3
 
0.7%
4 2
 
0.5%
30 1
 
0.2%
(Missing) 259
62.9%
ValueCountFrequency (%)
0 112
27.2%
1 25
 
6.1%
2 3
 
0.7%
3 10
 
2.4%
4 2
 
0.5%
ValueCountFrequency (%)
30 1
 
0.2%
4 2
 
0.5%
3 10
 
2.4%
2 3
 
0.7%
1 25
6.1%

w1_C01_4
Real number (ℝ)

Missing  Zeros 

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

Distinct16
Distinct (%)8.0%
Missing211
Missing (%)51.2%
Infinite0
Infinite (%)0.0%
Mean4.552238806
Minimum0
Maximum99
Zeros34
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.750568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile20
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.377553384
Coefficient of variation (CV)2.059987137
Kurtosis53.86181988
Mean4.552238806
Median Absolute Deviation (MAD)2
Skewness6.328830227
Sum915
Variance87.93850746
MonotonicityNot monotonic
2025-02-26T17:42:42.793088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 46
 
11.2%
1 37
 
9.0%
4 34
 
8.3%
0 34
 
8.3%
2 15
 
3.6%
5 14
 
3.4%
30 7
 
1.7%
6 3
 
0.7%
20 3
 
0.7%
10 2
 
0.5%
Other values (6) 6
 
1.5%
(Missing) 211
51.2%
ValueCountFrequency (%)
0 34
8.3%
1 37
9.0%
2 15
 
3.6%
3 46
11.2%
4 34
8.3%
ValueCountFrequency (%)
99 1
 
0.2%
45 1
 
0.2%
30 7
1.7%
20 3
0.7%
16 1
 
0.2%

w1_C02_1
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.2%
Missing183
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean4.419213974
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.830999image/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 deviation1.008202018
Coefficient of variation (CV)0.2281405752
Kurtosis2.498002513
Mean4.419213974
Median Absolute Deviation (MAD)0
Skewness-1.797531585
Sum1012
Variance1.016471309
MonotonicityNot monotonic
2025-02-26T17:42:42.872628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 156
37.9%
4 35
 
8.5%
3 22
 
5.3%
2 10
 
2.4%
1 6
 
1.5%
(Missing) 183
44.4%
ValueCountFrequency (%)
1 6
 
1.5%
2 10
 
2.4%
3 22
 
5.3%
4 35
 
8.5%
5 156
37.9%
ValueCountFrequency (%)
5 156
37.9%
4 35
 
8.5%
3 22
 
5.3%
2 10
 
2.4%
1 6
 
1.5%

w1_C02_2
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.2%
Missing183
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3.877729258
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.912514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.271441403
Coefficient of variation (CV)0.3278829745
Kurtosis-0.6505887238
Mean3.877729258
Median Absolute Deviation (MAD)1
Skewness-0.7758005736
Sum888
Variance1.616563242
MonotonicityNot monotonic
2025-02-26T17:42:42.953152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 106
25.7%
4 43
 
10.4%
3 38
 
9.2%
2 30
 
7.3%
1 12
 
2.9%
(Missing) 183
44.4%
ValueCountFrequency (%)
1 12
 
2.9%
2 30
 
7.3%
3 38
 
9.2%
4 43
10.4%
5 106
25.7%
ValueCountFrequency (%)
5 106
25.7%
4 43
10.4%
3 38
 
9.2%
2 30
 
7.3%
1 12
 
2.9%

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 (%)2.2%
Missing184
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean2.526315789
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:42.992637image/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 deviation1.322196319
Coefficient of variation (CV)0.5233693764
Kurtosis-0.8810039965
Mean2.526315789
Median Absolute Deviation (MAD)1
Skewness0.5079137573
Sum576
Variance1.748203107
MonotonicityNot monotonic
2025-02-26T17:42:43.034754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 66
 
16.0%
1 62
 
15.0%
3 44
 
10.7%
4 30
 
7.3%
5 26
 
6.3%
(Missing) 184
44.7%
ValueCountFrequency (%)
1 62
15.0%
2 66
16.0%
3 44
10.7%
4 30
7.3%
5 26
 
6.3%
ValueCountFrequency (%)
5 26
 
6.3%
4 30
7.3%
3 44
10.7%
2 66
16.0%
1 62
15.0%

w1_C02_4
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.2%
Missing185
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean1.370044053
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.074732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.9286880544
Coefficient of variation (CV)0.6778526957
Kurtosis6.648416157
Mean1.370044053
Median Absolute Deviation (MAD)0
Skewness2.709344148
Sum311
Variance0.8624615025
MonotonicityNot monotonic
2025-02-26T17:42:43.116030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 187
45.4%
2 16
 
3.9%
3 11
 
2.7%
5 7
 
1.7%
4 6
 
1.5%
(Missing) 185
44.9%
ValueCountFrequency (%)
1 187
45.4%
2 16
 
3.9%
3 11
 
2.7%
4 6
 
1.5%
5 7
 
1.7%
ValueCountFrequency (%)
5 7
 
1.7%
4 6
 
1.5%
3 11
 
2.7%
2 16
 
3.9%
1 187
45.4%

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 (%)2.2%
Missing184
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean2.736842105
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.157303image/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 deviation1.234972268
Coefficient of variation (CV)0.4512398673
Kurtosis-0.9520390831
Mean2.736842105
Median Absolute Deviation (MAD)1
Skewness0.1450632202
Sum624
Variance1.525156504
MonotonicityNot monotonic
2025-02-26T17:42:43.198176image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 64
 
15.5%
2 53
 
12.9%
1 46
 
11.2%
4 45
 
10.9%
5 20
 
4.9%
(Missing) 184
44.7%
ValueCountFrequency (%)
1 46
11.2%
2 53
12.9%
3 64
15.5%
4 45
10.9%
5 20
 
4.9%
ValueCountFrequency (%)
5 20
 
4.9%
4 45
10.9%
3 64
15.5%
2 53
12.9%
1 46
11.2%

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 (%)2.2%
Missing184
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean3.083333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.239261image/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 deviation1.349525397
Coefficient of variation (CV)0.4376839124
Kurtosis-1.160937087
Mean3.083333333
Median Absolute Deviation (MAD)1
Skewness-0.1093737312
Sum703
Variance1.821218796
MonotonicityNot monotonic
2025-02-26T17:42:43.279442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 53
 
12.9%
4 53
 
12.9%
2 42
 
10.2%
5 42
 
10.2%
1 38
 
9.2%
(Missing) 184
44.7%
ValueCountFrequency (%)
1 38
9.2%
2 42
10.2%
3 53
12.9%
4 53
12.9%
5 42
10.2%
ValueCountFrequency (%)
5 42
10.2%
4 53
12.9%
3 53
12.9%
2 42
10.2%
1 38
9.2%

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 (%)2.2%
Missing183
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3.925764192
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.318760image/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 deviation1.123391621
Coefficient of variation (CV)0.286158711
Kurtosis0.5209723069
Mean3.925764192
Median Absolute Deviation (MAD)1
Skewness-1.051200266
Sum899
Variance1.262008734
MonotonicityNot monotonic
2025-02-26T17:42:43.359180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 85
20.6%
4 80
19.4%
3 39
 
9.5%
1 13
 
3.2%
2 12
 
2.9%
(Missing) 183
44.4%
ValueCountFrequency (%)
1 13
 
3.2%
2 12
 
2.9%
3 39
9.5%
4 80
19.4%
5 85
20.6%
ValueCountFrequency (%)
5 85
20.6%
4 80
19.4%
3 39
9.5%
2 12
 
2.9%
1 13
 
3.2%

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 (%)2.2%
Missing183
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean3.257641921
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.398240image/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 deviation1.245692801
Coefficient of variation (CV)0.3823909538
Kurtosis-0.9908221332
Mean3.257641921
Median Absolute Deviation (MAD)1
Skewness-0.1702470721
Sum746
Variance1.551750555
MonotonicityNot monotonic
2025-02-26T17:42:43.439667image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 58
 
14.1%
3 58
 
14.1%
2 47
 
11.4%
5 45
 
10.9%
1 21
 
5.1%
(Missing) 183
44.4%
ValueCountFrequency (%)
1 21
 
5.1%
2 47
11.4%
3 58
14.1%
4 58
14.1%
5 45
10.9%
ValueCountFrequency (%)
5 45
10.9%
4 58
14.1%
3 58
14.1%
2 47
11.4%
1 21
 
5.1%

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 (%)2.2%
Missing184
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean2.605263158
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.479504image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.493707336
Coefficient of variation (CV)0.5733422096
Kurtosis-1.386617759
Mean2.605263158
Median Absolute Deviation (MAD)1
Skewness0.3384442147
Sum594
Variance2.231161604
MonotonicityNot monotonic
2025-02-26T17:42:43.519768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 79
19.2%
4 45
 
10.9%
2 45
 
10.9%
5 34
 
8.3%
3 25
 
6.1%
(Missing) 184
44.7%
ValueCountFrequency (%)
1 79
19.2%
2 45
10.9%
3 25
 
6.1%
4 45
10.9%
5 34
8.3%
ValueCountFrequency (%)
5 34
8.3%
4 45
10.9%
3 25
 
6.1%
2 45
10.9%
1 79
19.2%

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 (%)2.2%
Missing183
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean4.283842795
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.560427image/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 deviation0.95639633
Coefficient of variation (CV)0.2232566357
Kurtosis2.135718821
Mean4.283842795
Median Absolute Deviation (MAD)0
Skewness-1.536675284
Sum981
Variance0.9146939401
MonotonicityNot monotonic
2025-02-26T17:42:43.602093image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 120
29.1%
4 75
18.2%
3 18
 
4.4%
2 11
 
2.7%
1 5
 
1.2%
(Missing) 183
44.4%
ValueCountFrequency (%)
1 5
 
1.2%
2 11
 
2.7%
3 18
 
4.4%
4 75
18.2%
5 120
29.1%
ValueCountFrequency (%)
5 120
29.1%
4 75
18.2%
3 18
 
4.4%
2 11
 
2.7%
1 5
 
1.2%

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 (%)2.2%
Missing183
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean2.318777293
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.715026image/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 deviation1.340543974
Coefficient of variation (CV)0.5781253675
Kurtosis-0.8652541054
Mean2.318777293
Median Absolute Deviation (MAD)1
Skewness0.6239994828
Sum531
Variance1.797058148
MonotonicityNot monotonic
2025-02-26T17:42:43.754580image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 89
21.6%
2 49
 
11.9%
3 40
 
9.7%
4 31
 
7.5%
5 20
 
4.9%
(Missing) 183
44.4%
ValueCountFrequency (%)
1 89
21.6%
2 49
11.9%
3 40
9.7%
4 31
 
7.5%
5 20
 
4.9%
ValueCountFrequency (%)
5 20
 
4.9%
4 31
 
7.5%
3 40
9.7%
2 49
11.9%
1 89
21.6%

w1_C02_12
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_D01
Real number (ℝ)

Missing  Zeros 

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

Distinct23
Distinct (%)10.1%
Missing185
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean9.070484581
Minimum0
Maximum200
Zeros6
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.797861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q310
95-th percentile30
Maximum200
Range200
Interquartile range (IQR)7

Descriptive statistics

Standard deviation17.60089401
Coefficient of variation (CV)1.940457961
Kurtosis67.11331346
Mean9.070484581
Median Absolute Deviation (MAD)2
Skewness7.251303099
Sum2059
Variance309.7914701
MonotonicityNot monotonic
2025-02-26T17:42:43.844141image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 48
 
11.7%
10 33
 
8.0%
3 28
 
6.8%
4 27
 
6.6%
2 26
 
6.3%
6 13
 
3.2%
8 10
 
2.4%
15 7
 
1.7%
0 6
 
1.5%
30 5
 
1.2%
Other values (13) 24
 
5.8%
(Missing) 185
44.9%
ValueCountFrequency (%)
0 6
 
1.5%
1 4
 
1.0%
2 26
6.3%
3 28
6.8%
4 27
6.6%
ValueCountFrequency (%)
200 1
 
0.2%
100 2
0.5%
55 1
 
0.2%
50 3
0.7%
40 2
0.5%

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 (%)0.9%
Missing180
Missing (%)43.7%
Infinite0
Infinite (%)0.0%
Mean1.767241379
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.886555image/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 deviation0.4235033974
Coefficient of variation (CV)0.2396409468
Kurtosis-0.3827818227
Mean1.767241379
Median Absolute Deviation (MAD)0
Skewness-1.273025053
Sum410
Variance0.1793551276
MonotonicityNot monotonic
2025-02-26T17:42:43.924789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 178
43.2%
1 54
 
13.1%
(Missing) 180
43.7%
ValueCountFrequency (%)
1 54
 
13.1%
2 178
43.2%
ValueCountFrequency (%)
2 178
43.2%
1 54
 
13.1%

w1_D03
Real number (ℝ)

Missing 

How many informal study groups do you participate in?

Distinct6
Distinct (%)12.0%
Missing362
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean2.32
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:43.960366image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum36
Range35
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.958768774
Coefficient of variation (CV)2.137400334
Kurtosis45.90860219
Mean2.32
Median Absolute Deviation (MAD)0
Skewness6.659947446
Sum116
Variance24.58938776
MonotonicityNot monotonic
2025-02-26T17:42:43.999846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 28
 
6.8%
2 16
 
3.9%
4 2
 
0.5%
3 2
 
0.5%
6 1
 
0.2%
36 1
 
0.2%
(Missing) 362
87.9%
ValueCountFrequency (%)
1 28
6.8%
2 16
3.9%
3 2
 
0.5%
4 2
 
0.5%
6 1
 
0.2%
ValueCountFrequency (%)
36 1
 
0.2%
6 1
 
0.2%
4 2
 
0.5%
3 2
 
0.5%
2 16
3.9%

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

Distinct11
Distinct (%)21.6%
Missing361
Missing (%)87.6%
Infinite0
Infinite (%)0.0%
Mean5.098039216
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.037431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q13
median5
Q36
95-th percentile11
Maximum15
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.920649941
Coefficient of variation (CV)0.5728967192
Kurtosis2.074962297
Mean5.098039216
Median Absolute Deviation (MAD)2
Skewness1.282973306
Sum260
Variance8.530196078
MonotonicityNot monotonic
2025-02-26T17:42:44.076248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3 10
 
2.4%
4 8
 
1.9%
6 8
 
1.9%
5 7
 
1.7%
2 4
 
1.0%
1 3
 
0.7%
8 3
 
0.7%
7 3
 
0.7%
10 2
 
0.5%
12 2
 
0.5%
(Missing) 361
87.6%
ValueCountFrequency (%)
1 3
 
0.7%
2 4
 
1.0%
3 10
2.4%
4 8
1.9%
5 7
1.7%
ValueCountFrequency (%)
15 1
 
0.2%
12 2
0.5%
10 2
0.5%
8 3
0.7%
7 3
0.7%

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 (%)11.5%
Missing360
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean2.519230769
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.114364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.25
95-th percentile5.45
Maximum6
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.488391481
Coefficient of variation (CV)0.5908118856
Kurtosis-0.1538364377
Mean2.519230769
Median Absolute Deviation (MAD)1
Skewness0.8518143296
Sum131
Variance2.215309201
MonotonicityNot monotonic
2025-02-26T17:42:44.153785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 16
 
3.9%
2 15
 
3.6%
3 8
 
1.9%
4 7
 
1.7%
6 3
 
0.7%
5 3
 
0.7%
(Missing) 360
87.4%
ValueCountFrequency (%)
1 16
3.9%
2 15
3.6%
3 8
1.9%
4 7
1.7%
5 3
 
0.7%
ValueCountFrequency (%)
6 3
 
0.7%
5 3
 
0.7%
4 7
1.7%
3 8
1.9%
2 15
3.6%

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 (%)2.7%
Missing187
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean2.791111111
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.190542image/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 deviation2.227248284
Coefficient of variation (CV)0.7979790828
Kurtosis-1.526628346
Mean2.791111111
Median Absolute Deviation (MAD)0
Skewness0.5908938946
Sum628
Variance4.960634921
MonotonicityNot monotonic
2025-02-26T17:42:44.229598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 125
30.3%
6 62
 
15.0%
2 13
 
3.2%
4 10
 
2.4%
5 10
 
2.4%
3 5
 
1.2%
(Missing) 187
45.4%
ValueCountFrequency (%)
1 125
30.3%
2 13
 
3.2%
3 5
 
1.2%
4 10
 
2.4%
5 10
 
2.4%
ValueCountFrequency (%)
6 62
15.0%
5 10
 
2.4%
4 10
 
2.4%
3 5
 
1.2%
2 13
 
3.2%

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 (%)2.7%
Missing187
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean2.582222222
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.266156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.023668318
Coefficient of variation (CV)0.396429211
Kurtosis1.694235633
Mean2.582222222
Median Absolute Deviation (MAD)0
Skewness1.438597773
Sum581
Variance1.047896825
MonotonicityNot monotonic
2025-02-26T17:42:44.305219image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 140
34.0%
3 36
 
8.7%
4 29
 
7.0%
5 8
 
1.9%
1 7
 
1.7%
6 5
 
1.2%
(Missing) 187
45.4%
ValueCountFrequency (%)
1 7
 
1.7%
2 140
34.0%
3 36
 
8.7%
4 29
 
7.0%
5 8
 
1.9%
ValueCountFrequency (%)
6 5
 
1.2%
5 8
 
1.9%
4 29
 
7.0%
3 36
 
8.7%
2 140
34.0%

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 (%)2.7%
Missing187
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean3.502222222
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.343129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.650553058
Coefficient of variation (CV)0.4712873579
Kurtosis-1.138014439
Mean3.502222222
Median Absolute Deviation (MAD)1
Skewness-0.04902692653
Sum788
Variance2.724325397
MonotonicityNot monotonic
2025-02-26T17:42:44.380906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 57
 
13.8%
2 36
 
8.7%
1 36
 
8.7%
6 34
 
8.3%
5 31
 
7.5%
3 31
 
7.5%
(Missing) 187
45.4%
ValueCountFrequency (%)
1 36
8.7%
2 36
8.7%
3 31
7.5%
4 57
13.8%
5 31
7.5%
ValueCountFrequency (%)
6 34
8.3%
5 31
7.5%
4 57
13.8%
3 31
7.5%
2 36
8.7%

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 (%)2.7%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean3.044642857
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.417769image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.20453845
Coefficient of variation (CV)0.3956255318
Kurtosis-0.4726807724
Mean3.044642857
Median Absolute Deviation (MAD)1
Skewness0.6748090732
Sum682
Variance1.450912876
MonotonicityNot monotonic
2025-02-26T17:42:44.455481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 96
23.3%
4 48
 
11.7%
3 45
 
10.9%
5 22
 
5.3%
6 8
 
1.9%
1 5
 
1.2%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 5
 
1.2%
2 96
23.3%
3 45
10.9%
4 48
11.7%
5 22
 
5.3%
ValueCountFrequency (%)
6 8
 
1.9%
5 22
 
5.3%
4 48
11.7%
3 45
10.9%
2 96
23.3%

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 (%)2.7%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.566964286
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.491558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.380510622
Coefficient of variation (CV)0.5377989205
Kurtosis0.914807342
Mean2.566964286
Median Absolute Deviation (MAD)0
Skewness1.340225642
Sum575
Variance1.905809577
MonotonicityNot monotonic
2025-02-26T17:42:44.530804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 125
30.3%
1 31
 
7.5%
3 24
 
5.8%
6 18
 
4.4%
4 16
 
3.9%
5 10
 
2.4%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 31
 
7.5%
2 125
30.3%
3 24
 
5.8%
4 16
 
3.9%
5 10
 
2.4%
ValueCountFrequency (%)
6 18
 
4.4%
5 10
 
2.4%
4 16
 
3.9%
3 24
 
5.8%
2 125
30.3%

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 (%)2.7%
Missing187
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean2.022222222
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.568018image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.843047855
Coefficient of variation (CV)0.9113972911
Kurtosis0.4075959257
Mean2.022222222
Median Absolute Deviation (MAD)0
Skewness1.473694102
Sum455
Variance3.396825397
MonotonicityNot monotonic
2025-02-26T17:42:44.607121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 161
39.1%
6 31
 
7.5%
2 14
 
3.4%
5 8
 
1.9%
4 7
 
1.7%
3 4
 
1.0%
(Missing) 187
45.4%
ValueCountFrequency (%)
1 161
39.1%
2 14
 
3.4%
3 4
 
1.0%
4 7
 
1.7%
5 8
 
1.9%
ValueCountFrequency (%)
6 31
7.5%
5 8
 
1.9%
4 7
 
1.7%
3 4
 
1.0%
2 14
3.4%

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 (%)2.7%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean3.116071429
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.643586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.135522896
Coefficient of variation (CV)0.6853253993
Kurtosis-1.752925517
Mean3.116071429
Median Absolute Deviation (MAD)2
Skewness0.1874755795
Sum698
Variance4.56045804
MonotonicityNot monotonic
2025-02-26T17:42:44.681865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 104
25.2%
6 46
 
11.2%
5 42
 
10.2%
4 17
 
4.1%
3 10
 
2.4%
2 5
 
1.2%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 104
25.2%
2 5
 
1.2%
3 10
 
2.4%
4 17
 
4.1%
5 42
10.2%
ValueCountFrequency (%)
6 46
11.2%
5 42
10.2%
4 17
 
4.1%
3 10
 
2.4%
2 5
 
1.2%

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 (%)2.7%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.491071429
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.717792image/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 deviation1.956915005
Coefficient of variation (CV)0.7855716148
Kurtosis-1.022489101
Mean2.491071429
Median Absolute Deviation (MAD)0
Skewness0.8231699646
Sum558
Variance3.829516336
MonotonicityNot monotonic
2025-02-26T17:42:44.755957image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 126
30.6%
6 32
 
7.8%
5 22
 
5.3%
2 17
 
4.1%
4 15
 
3.6%
3 12
 
2.9%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 126
30.6%
2 17
 
4.1%
3 12
 
2.9%
4 15
 
3.6%
5 22
 
5.3%
ValueCountFrequency (%)
6 32
7.8%
5 22
5.3%
4 15
3.6%
3 12
 
2.9%
2 17
4.1%

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

Distinct5
Distinct (%)2.3%
Missing190
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean1.977477477
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.793002image/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 deviation1.945975528
Coefficient of variation (CV)0.9840696294
Kurtosis0.4142838002
Mean1.977477477
Median Absolute Deviation (MAD)0
Skewness1.533901316
Sum439
Variance3.786820757
MonotonicityNot monotonic
2025-02-26T17:42:44.832110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 176
42.7%
6 39
 
9.5%
5 3
 
0.7%
3 2
 
0.5%
4 2
 
0.5%
(Missing) 190
46.1%
ValueCountFrequency (%)
1 176
42.7%
3 2
 
0.5%
4 2
 
0.5%
5 3
 
0.7%
6 39
 
9.5%
ValueCountFrequency (%)
6 39
 
9.5%
5 3
 
0.7%
4 2
 
0.5%
3 2
 
0.5%
1 176
42.7%

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 (%)2.7%
Missing187
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean2.195555556
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.869477image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6924192693
Coefficient of variation (CV)0.315373149
Kurtosis9.465957881
Mean2.195555556
Median Absolute Deviation (MAD)0
Skewness2.568622331
Sum494
Variance0.4794444444
MonotonicityNot monotonic
2025-02-26T17:42:44.908249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 180
43.7%
3 21
 
5.1%
4 11
 
2.7%
1 10
 
2.4%
6 2
 
0.5%
5 1
 
0.2%
(Missing) 187
45.4%
ValueCountFrequency (%)
1 10
 
2.4%
2 180
43.7%
3 21
 
5.1%
4 11
 
2.7%
5 1
 
0.2%
ValueCountFrequency (%)
6 2
 
0.5%
5 1
 
0.2%
4 11
 
2.7%
3 21
 
5.1%
2 180
43.7%

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 (%)2.7%
Missing187
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean2.724444444
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:44.945067image/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 deviation1.733230308
Coefficient of variation (CV)0.6361775194
Kurtosis-0.761375008
Mean2.724444444
Median Absolute Deviation (MAD)1
Skewness0.8001940209
Sum613
Variance3.004087302
MonotonicityNot monotonic
2025-02-26T17:42:44.982941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 78
18.9%
1 64
 
15.5%
6 29
 
7.0%
5 19
 
4.6%
4 19
 
4.6%
3 16
 
3.9%
(Missing) 187
45.4%
ValueCountFrequency (%)
1 64
15.5%
2 78
18.9%
3 16
 
3.9%
4 19
 
4.6%
5 19
 
4.6%
ValueCountFrequency (%)
6 29
 
7.0%
5 19
 
4.6%
4 19
 
4.6%
3 16
 
3.9%
2 78
18.9%

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 (%)2.7%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.71875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.018614image/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 deviation2.270182279
Coefficient of variation (CV)0.8350095738
Kurtosis-1.526124418
Mean2.71875
Median Absolute Deviation (MAD)0
Skewness0.6356642127
Sum609
Variance5.153727578
MonotonicityNot monotonic
2025-02-26T17:42:45.058983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 138
33.5%
6 62
 
15.0%
5 12
 
2.9%
4 6
 
1.5%
3 3
 
0.7%
2 3
 
0.7%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 138
33.5%
2 3
 
0.7%
3 3
 
0.7%
4 6
 
1.5%
5 12
 
2.9%
ValueCountFrequency (%)
6 62
15.0%
5 12
 
2.9%
4 6
 
1.5%
3 3
 
0.7%
2 3
 
0.7%

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 (%)2.7%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean4.695067265
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.095866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.880751927
Coefficient of variation (CV)0.4005804009
Kurtosis-0.102742501
Mean4.695067265
Median Absolute Deviation (MAD)0
Skewness-1.240274726
Sum1047
Variance3.537227811
MonotonicityNot monotonic
2025-02-26T17:42:45.134685image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 119
28.9%
5 45
 
10.9%
1 40
 
9.7%
4 13
 
3.2%
3 4
 
1.0%
2 2
 
0.5%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 40
9.7%
2 2
 
0.5%
3 4
 
1.0%
4 13
 
3.2%
5 45
10.9%
ValueCountFrequency (%)
6 119
28.9%
5 45
 
10.9%
4 13
 
3.2%
3 4
 
1.0%
2 2
 
0.5%

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 (%)2.7%
Missing190
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean4.27027027
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.171268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.822165913
Coefficient of variation (CV)0.4267097391
Kurtosis-0.6526759539
Mean4.27027027
Median Absolute Deviation (MAD)1
Skewness-0.8825026782
Sum948
Variance3.320288614
MonotonicityNot monotonic
2025-02-26T17:42:45.210065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 70
 
17.0%
5 63
 
15.3%
1 43
 
10.4%
4 35
 
8.5%
3 8
 
1.9%
2 3
 
0.7%
(Missing) 190
46.1%
ValueCountFrequency (%)
1 43
10.4%
2 3
 
0.7%
3 8
 
1.9%
4 35
8.5%
5 63
15.3%
ValueCountFrequency (%)
6 70
17.0%
5 63
15.3%
4 35
8.5%
3 8
 
1.9%
2 3
 
0.7%

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 (%)2.7%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.883408072
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.247829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.016786099
Coefficient of variation (CV)0.6994452569
Kurtosis-1.382750163
Mean2.883408072
Median Absolute Deviation (MAD)1
Skewness0.5364641255
Sum643
Variance4.067426171
MonotonicityNot monotonic
2025-02-26T17:42:45.284888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 91
22.1%
6 46
 
11.2%
2 35
 
8.5%
5 20
 
4.9%
3 18
 
4.4%
4 13
 
3.2%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 91
22.1%
2 35
 
8.5%
3 18
 
4.4%
4 13
 
3.2%
5 20
 
4.9%
ValueCountFrequency (%)
6 46
11.2%
5 20
4.9%
4 13
 
3.2%
3 18
 
4.4%
2 35
8.5%

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 (%)2.7%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.401785714
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.320435image/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 deviation2.037583293
Coefficient of variation (CV)0.8483618172
Kurtosis-0.9035464173
Mean2.401785714
Median Absolute Deviation (MAD)0
Skewness0.94858505
Sum538
Variance4.151745676
MonotonicityNot monotonic
2025-02-26T17:42:45.359940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 142
34.5%
6 40
 
9.7%
5 15
 
3.6%
4 9
 
2.2%
2 9
 
2.2%
3 9
 
2.2%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 142
34.5%
2 9
 
2.2%
3 9
 
2.2%
4 9
 
2.2%
5 15
 
3.6%
ValueCountFrequency (%)
6 40
9.7%
5 15
 
3.6%
4 9
 
2.2%
3 9
 
2.2%
2 9
 
2.2%

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

Distinct5
Distinct (%)2.2%
Missing187
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean1.88
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.396527image/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 deviation1.882437629
Coefficient of variation (CV)1.001296611
Kurtosis0.9691384317
Mean1.88
Median Absolute Deviation (MAD)0
Skewness1.710517233
Sum423
Variance3.543571429
MonotonicityNot monotonic
2025-02-26T17:42:45.435718image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 183
44.4%
6 37
 
9.0%
2 2
 
0.5%
5 2
 
0.5%
4 1
 
0.2%
(Missing) 187
45.4%
ValueCountFrequency (%)
1 183
44.4%
2 2
 
0.5%
4 1
 
0.2%
5 2
 
0.5%
6 37
 
9.0%
ValueCountFrequency (%)
6 37
 
9.0%
5 2
 
0.5%
4 1
 
0.2%
2 2
 
0.5%
1 183
44.4%

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 (%)2.7%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.196428571
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.472366image/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 deviation2.003760079
Coefficient of variation (CV)0.9122810114
Kurtosis-0.3923459367
Mean2.196428571
Median Absolute Deviation (MAD)0
Skewness1.208439715
Sum492
Variance4.015054452
MonotonicityNot monotonic
2025-02-26T17:42:45.511727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 159
38.6%
6 40
 
9.7%
5 8
 
1.9%
4 7
 
1.7%
2 5
 
1.2%
3 5
 
1.2%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 159
38.6%
2 5
 
1.2%
3 5
 
1.2%
4 7
 
1.7%
5 8
 
1.9%
ValueCountFrequency (%)
6 40
9.7%
5 8
 
1.9%
4 7
 
1.7%
3 5
 
1.2%
2 5
 
1.2%

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 (%)2.7%
Missing187
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean2.151111111
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.548706image/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 deviation1.921288424
Coefficient of variation (CV)0.8931609407
Kurtosis-0.1850120805
Mean2.151111111
Median Absolute Deviation (MAD)0
Skewness1.257767425
Sum484
Variance3.691349206
MonotonicityNot monotonic
2025-02-26T17:42:45.587246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 158
38.3%
6 34
 
8.3%
3 12
 
2.9%
5 10
 
2.4%
4 7
 
1.7%
2 4
 
1.0%
(Missing) 187
45.4%
ValueCountFrequency (%)
1 158
38.3%
2 4
 
1.0%
3 12
 
2.9%
4 7
 
1.7%
5 10
 
2.4%
ValueCountFrequency (%)
6 34
8.3%
5 10
 
2.4%
4 7
 
1.7%
3 12
 
2.9%
2 4
 
1.0%

w1_E01JLU_1
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_2
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_3
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_4
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_5
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_6
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_7
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_8
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_9
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_10
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_11
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_12
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_13
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_14
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_15
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_16
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_17
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_18
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_19
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_20
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_21
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_22
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_23
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_E01JLU_24
Unsupported

Missing  Rejected  Unsupported 

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

Missing412
Missing (%)100.0%
Memory size3.8 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 (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean3.421524664
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.625566image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.174765995
Coefficient of variation (CV)0.3433457626
Kurtosis-0.8758328322
Mean3.421524664
Median Absolute Deviation (MAD)1
Skewness-0.2639194234
Sum763
Variance1.380075142
MonotonicityNot monotonic
2025-02-26T17:42:45.666222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 64
 
15.5%
3 57
 
13.8%
5 48
 
11.7%
2 42
 
10.2%
1 12
 
2.9%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 12
 
2.9%
2 42
10.2%
3 57
13.8%
4 64
15.5%
5 48
11.7%
ValueCountFrequency (%)
5 48
11.7%
4 64
15.5%
3 57
13.8%
2 42
10.2%
1 12
 
2.9%

w1_E02_2
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean3.470852018
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.707056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.207261323
Coefficient of variation (CV)0.3478285206
Kurtosis-0.9061294521
Mean3.470852018
Median Absolute Deviation (MAD)1
Skewness-0.3185742253
Sum774
Variance1.457479901
MonotonicityNot monotonic
2025-02-26T17:42:45.747823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 61
 
14.8%
5 55
 
13.3%
3 54
 
13.1%
2 40
 
9.7%
1 13
 
3.2%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 13
 
3.2%
2 40
9.7%
3 54
13.1%
4 61
14.8%
5 55
13.3%
ValueCountFrequency (%)
5 55
13.3%
4 61
14.8%
3 54
13.1%
2 40
9.7%
1 13
 
3.2%

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 (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.852017937
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.787691image/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 deviation1.291197837
Coefficient of variation (CV)0.4527313172
Kurtosis-1.01121748
Mean2.852017937
Median Absolute Deviation (MAD)1
Skewness0.3167906832
Sum636
Variance1.667191856
MonotonicityNot monotonic
2025-02-26T17:42:45.829728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 73
 
17.7%
3 49
 
11.9%
5 35
 
8.5%
4 34
 
8.3%
1 32
 
7.8%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 32
7.8%
2 73
17.7%
3 49
11.9%
4 34
8.3%
5 35
8.5%
ValueCountFrequency (%)
5 35
8.5%
4 34
8.3%
3 49
11.9%
2 73
17.7%
1 32
7.8%

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 (%)2.2%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.455357143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:45.870568image/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 deviation1.159003692
Coefficient of variation (CV)0.4720305945
Kurtosis-0.1798592968
Mean2.455357143
Median Absolute Deviation (MAD)1
Skewness0.7197045672
Sum550
Variance1.343289558
MonotonicityNot monotonic
2025-02-26T17:42:45.977403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 90
21.8%
3 50
 
12.1%
1 45
 
10.9%
4 20
 
4.9%
5 19
 
4.6%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 45
10.9%
2 90
21.8%
3 50
12.1%
4 20
 
4.9%
5 19
 
4.6%
ValueCountFrequency (%)
5 19
 
4.6%
4 20
 
4.9%
3 50
12.1%
2 90
21.8%
1 45
10.9%

w1_E02_5
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.914798206
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.016558image/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 deviation1.214368122
Coefficient of variation (CV)0.4166216789
Kurtosis-0.8642561554
Mean2.914798206
Median Absolute Deviation (MAD)1
Skewness0.1797438877
Sum650
Variance1.474689937
MonotonicityNot monotonic
2025-02-26T17:42:46.058524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 65
 
15.8%
2 61
 
14.8%
4 40
 
9.7%
5 29
 
7.0%
1 28
 
6.8%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 28
6.8%
2 61
14.8%
3 65
15.8%
4 40
9.7%
5 29
7.0%
ValueCountFrequency (%)
5 29
7.0%
4 40
9.7%
3 65
15.8%
2 61
14.8%
1 28
6.8%

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 (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.511210762
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.098373image/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 deviation1.177342352
Coefficient of variation (CV)0.4688345438
Kurtosis-0.4722518062
Mean2.511210762
Median Absolute Deviation (MAD)1
Skewness0.5745112332
Sum560
Variance1.386135014
MonotonicityNot monotonic
2025-02-26T17:42:46.137750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 82
19.9%
3 51
 
12.4%
1 45
 
10.9%
4 27
 
6.6%
5 18
 
4.4%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 45
10.9%
2 82
19.9%
3 51
12.4%
4 27
 
6.6%
5 18
 
4.4%
ValueCountFrequency (%)
5 18
 
4.4%
4 27
 
6.6%
3 51
12.4%
2 82
19.9%
1 45
10.9%

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 (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean4.170403587
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.177366image/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 deviation1.13010536
Coefficient of variation (CV)0.270982253
Kurtosis0.5861659859
Mean4.170403587
Median Absolute Deviation (MAD)0
Skewness-1.247230021
Sum930
Variance1.277138125
MonotonicityNot monotonic
2025-02-26T17:42:46.217701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 124
30.1%
4 45
 
10.9%
3 30
 
7.3%
2 16
 
3.9%
1 8
 
1.9%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 8
 
1.9%
2 16
 
3.9%
3 30
 
7.3%
4 45
 
10.9%
5 124
30.1%
ValueCountFrequency (%)
5 124
30.1%
4 45
 
10.9%
3 30
 
7.3%
2 16
 
3.9%
1 8
 
1.9%

w1_E02_8
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.2%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.254464286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.258218image/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 deviation1.168525067
Coefficient of variation (CV)0.5183160694
Kurtosis-0.4252521949
Mean2.254464286
Median Absolute Deviation (MAD)1
Skewness0.6830298878
Sum505
Variance1.365450833
MonotonicityNot monotonic
2025-02-26T17:42:46.299400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 72
 
17.5%
2 71
 
17.2%
3 44
 
10.7%
4 26
 
6.3%
5 11
 
2.7%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 72
17.5%
2 71
17.2%
3 44
10.7%
4 26
 
6.3%
5 11
 
2.7%
ValueCountFrequency (%)
5 11
 
2.7%
4 26
 
6.3%
3 44
10.7%
2 71
17.2%
1 72
17.5%

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 (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean3.30941704
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.340184image/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 deviation1.307721738
Coefficient of variation (CV)0.3951516906
Kurtosis-1.056344394
Mean3.30941704
Median Absolute Deviation (MAD)1
Skewness-0.2845728861
Sum738
Variance1.710136145
MonotonicityNot monotonic
2025-02-26T17:42:46.380692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 60
 
14.6%
5 50
 
12.1%
3 47
 
11.4%
2 41
 
10.0%
1 25
 
6.1%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 25
6.1%
2 41
10.0%
3 47
11.4%
4 60
14.6%
5 50
12.1%
ValueCountFrequency (%)
5 50
12.1%
4 60
14.6%
3 47
11.4%
2 41
10.0%
1 25
6.1%

w1_E02_10
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.632286996
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.420326image/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 deviation1.169907083
Coefficient of variation (CV)0.4444451101
Kurtosis-0.69409106
Mean2.632286996
Median Absolute Deviation (MAD)1
Skewness0.3754727491
Sum587
Variance1.368682584
MonotonicityNot monotonic
2025-02-26T17:42:46.462629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 74
 
18.0%
3 57
 
13.8%
1 39
 
9.5%
4 36
 
8.7%
5 17
 
4.1%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 39
9.5%
2 74
18.0%
3 57
13.8%
4 36
8.7%
5 17
 
4.1%
ValueCountFrequency (%)
5 17
 
4.1%
4 36
8.7%
3 57
13.8%
2 74
18.0%
1 39
9.5%

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 (%)2.2%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean1.727678571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.502808image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8843137058
Coefficient of variation (CV)0.5118508271
Kurtosis3.04398429
Mean1.727678571
Median Absolute Deviation (MAD)1
Skewness1.583337621
Sum387
Variance0.7820107303
MonotonicityNot monotonic
2025-02-26T17:42:46.543723image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 105
25.5%
2 91
22.1%
3 17
 
4.1%
4 6
 
1.5%
5 5
 
1.2%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 105
25.5%
2 91
22.1%
3 17
 
4.1%
4 6
 
1.5%
5 5
 
1.2%
ValueCountFrequency (%)
5 5
 
1.2%
4 6
 
1.5%
3 17
 
4.1%
2 91
22.1%
1 105
25.5%

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 (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.161434978
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.583417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.9
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.219563393
Coefficient of variation (CV)0.5642378352
Kurtosis-0.4002972848
Mean2.161434978
Median Absolute Deviation (MAD)1
Skewness0.8147608844
Sum482
Variance1.487334869
MonotonicityNot monotonic
2025-02-26T17:42:46.623639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 87
21.1%
2 64
 
15.5%
3 33
 
8.0%
4 27
 
6.6%
5 12
 
2.9%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 87
21.1%
2 64
15.5%
3 33
 
8.0%
4 27
 
6.6%
5 12
 
2.9%
ValueCountFrequency (%)
5 12
 
2.9%
4 27
 
6.6%
3 33
 
8.0%
2 64
15.5%
1 87
21.1%

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 (%)2.2%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.160714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.662610image/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 deviation1.03787962
Coefficient of variation (CV)0.4803409813
Kurtosis0.3074872202
Mean2.160714286
Median Absolute Deviation (MAD)1
Skewness0.8387820208
Sum484
Variance1.077194106
MonotonicityNot monotonic
2025-02-26T17:42:46.702041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 90
21.8%
1 65
 
15.8%
3 45
 
10.9%
4 16
 
3.9%
5 8
 
1.9%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 65
15.8%
2 90
21.8%
3 45
10.9%
4 16
 
3.9%
5 8
 
1.9%
ValueCountFrequency (%)
5 8
 
1.9%
4 16
 
3.9%
3 45
10.9%
2 90
21.8%
1 65
15.8%

w1_E02_14
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean3.076233184
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.741761image/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 deviation1.345168257
Coefficient of variation (CV)0.4372777278
Kurtosis-1.16058614
Mean3.076233184
Median Absolute Deviation (MAD)1
Skewness-0.1063808019
Sum686
Variance1.809477639
MonotonicityNot monotonic
2025-02-26T17:42:46.781853image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 53
 
12.9%
3 51
 
12.4%
2 42
 
10.2%
5 40
 
9.7%
1 37
 
9.0%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 37
9.0%
2 42
10.2%
3 51
12.4%
4 53
12.9%
5 40
9.7%
ValueCountFrequency (%)
5 40
9.7%
4 53
12.9%
3 51
12.4%
2 42
10.2%
1 37
9.0%

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 (%)2.2%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.660714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.821971image/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 deviation1.263872414
Coefficient of variation (CV)0.4750124509
Kurtosis-0.8545873352
Mean2.660714286
Median Absolute Deviation (MAD)1
Skewness0.3929359789
Sum596
Variance1.597373479
MonotonicityNot monotonic
2025-02-26T17:42:46.863241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 69
 
16.7%
3 52
 
12.6%
1 45
 
10.9%
4 33
 
8.0%
5 25
 
6.1%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 45
10.9%
2 69
16.7%
3 52
12.6%
4 33
8.0%
5 25
 
6.1%
ValueCountFrequency (%)
5 25
 
6.1%
4 33
8.0%
3 52
12.6%
2 69
16.7%
1 45
10.9%

w1_E02_16
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.3%
Missing191
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean3.122171946
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.904066image/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 deviation1.413733544
Coefficient of variation (CV)0.452804512
Kurtosis-1.336850403
Mean3.122171946
Median Absolute Deviation (MAD)1
Skewness-0.03337772479
Sum690
Variance1.998642534
MonotonicityNot monotonic
2025-02-26T17:42:46.944976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 53
 
12.9%
5 53
 
12.9%
4 42
 
10.2%
3 39
 
9.5%
1 34
 
8.3%
(Missing) 191
46.4%
ValueCountFrequency (%)
1 34
8.3%
2 53
12.9%
3 39
9.5%
4 42
10.2%
5 53
12.9%
ValueCountFrequency (%)
5 53
12.9%
4 42
10.2%
3 39
9.5%
2 53
12.9%
1 34
8.3%

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 (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.520179372
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:46.984311image/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 deviation1.240566553
Coefficient of variation (CV)0.4922532765
Kurtosis-0.7175784807
Mean2.520179372
Median Absolute Deviation (MAD)1
Skewness0.5605046549
Sum562
Variance1.539005373
MonotonicityNot monotonic
2025-02-26T17:42:47.024428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 83
20.1%
1 49
 
11.9%
3 37
 
9.0%
4 34
 
8.3%
5 20
 
4.9%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 49
11.9%
2 83
20.1%
3 37
9.0%
4 34
8.3%
5 20
 
4.9%
ValueCountFrequency (%)
5 20
 
4.9%
4 34
8.3%
3 37
9.0%
2 83
20.1%
1 49
11.9%

w1_E02_18
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.2%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.486607143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.064419image/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 deviation1.159789337
Coefficient of variation (CV)0.4664143834
Kurtosis-0.1973290107
Mean2.486607143
Median Absolute Deviation (MAD)1
Skewness0.7114670831
Sum557
Variance1.345111307
MonotonicityNot monotonic
2025-02-26T17:42:47.104913image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 91
22.1%
3 51
 
12.4%
1 42
 
10.2%
4 20
 
4.9%
5 20
 
4.9%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 42
10.2%
2 91
22.1%
3 51
12.4%
4 20
 
4.9%
5 20
 
4.9%
ValueCountFrequency (%)
5 20
 
4.9%
4 20
 
4.9%
3 51
12.4%
2 91
22.1%
1 42
10.2%

w1_E02_19
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)2.3%
Missing191
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean3.511312217
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.144012image/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 deviation1.274258643
Coefficient of variation (CV)0.3629009794
Kurtosis-0.8977922229
Mean3.511312217
Median Absolute Deviation (MAD)1
Skewness-0.4577928924
Sum776
Variance1.623735088
MonotonicityNot monotonic
2025-02-26T17:42:47.184586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 63
 
15.3%
5 61
 
14.8%
3 43
 
10.4%
2 36
 
8.7%
1 18
 
4.4%
(Missing) 191
46.4%
ValueCountFrequency (%)
1 18
 
4.4%
2 36
8.7%
3 43
10.4%
4 63
15.3%
5 61
14.8%
ValueCountFrequency (%)
5 61
14.8%
4 63
15.3%
3 43
10.4%
2 36
8.7%
1 18
 
4.4%

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 (%)2.2%
Missing188
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean2.879464286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.225130image/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 deviation1.237938283
Coefficient of variation (CV)0.4299196516
Kurtosis-0.8423400062
Mean2.879464286
Median Absolute Deviation (MAD)1
Skewness0.2455859496
Sum645
Variance1.532491192
MonotonicityNot monotonic
2025-02-26T17:42:47.266851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 68
 
16.5%
2 61
 
14.8%
5 32
 
7.8%
4 32
 
7.8%
1 31
 
7.5%
(Missing) 188
45.6%
ValueCountFrequency (%)
1 31
7.5%
2 61
14.8%
3 68
16.5%
4 32
7.8%
5 32
7.8%
ValueCountFrequency (%)
5 32
7.8%
4 32
7.8%
3 68
16.5%
2 61
14.8%
1 31
7.5%

w1_E02_21
Real number (ℝ)

Missing 

Distinct5
Distinct (%)2.2%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean2.878923767
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.308152image/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 deviation1.244322135
Coefficient of variation (CV)0.4322178132
Kurtosis-0.8551450844
Mean2.878923767
Median Absolute Deviation (MAD)1
Skewness0.2317865122
Sum642
Variance1.548337575
MonotonicityNot monotonic
2025-02-26T17:42:47.349481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 68
 
16.5%
2 59
 
14.3%
5 32
 
7.8%
4 32
 
7.8%
1 32
 
7.8%
(Missing) 189
45.9%
ValueCountFrequency (%)
1 32
7.8%
2 59
14.3%
3 68
16.5%
4 32
7.8%
5 32
7.8%
ValueCountFrequency (%)
5 32
7.8%
4 32
7.8%
3 68
16.5%
2 59
14.3%
1 32
7.8%

w1_E03
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.9%
Missing185
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean1.348017621
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.391065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4773943284
Coefficient of variation (CV)0.3541454659
Kurtosis-1.60154208
Mean1.348017621
Median Absolute Deviation (MAD)0
Skewness0.6423760158
Sum306
Variance0.2279053448
MonotonicityNot monotonic
2025-02-26T17:42:47.429408image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 148
35.9%
2 79
19.2%
(Missing) 185
44.9%
ValueCountFrequency (%)
1 148
35.9%
2 79
19.2%
ValueCountFrequency (%)
2 79
19.2%
1 148
35.9%

w1_E04
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)1.4%
Missing264
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean1.966216216
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.466516image/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 deviation0.1812856783
Coefficient of variation (CV)0.09220027624
Kurtosis25.52960034
Mean1.966216216
Median Absolute Deviation (MAD)0
Skewness-5.213900449
Sum291
Variance0.03286449715
MonotonicityNot monotonic
2025-02-26T17:42:47.505615image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 143
34.7%
1 5
 
1.2%
(Missing) 264
64.1%
ValueCountFrequency (%)
1 5
 
1.2%
2 143
34.7%
ValueCountFrequency (%)
2 143
34.7%
1 5
 
1.2%

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 (%)1.4%
Missing269
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean1.237762238
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.542806image/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 deviation0.4272091212
Coefficient of variation (CV)0.3451463521
Kurtosis-0.4563243373
Mean1.237762238
Median Absolute Deviation (MAD)0
Skewness1.245092549
Sum177
Variance0.1825076332
MonotonicityNot monotonic
2025-02-26T17:42:47.581109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 109
26.5%
2 34
 
8.3%
(Missing) 269
65.3%
ValueCountFrequency (%)
1 109
26.5%
2 34
 
8.3%
ValueCountFrequency (%)
2 34
 
8.3%
1 109
26.5%

w1_E06
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)60.0%
Missing407
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean0.8
Minimum0
Maximum2
Zeros2
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.616705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1.8
Maximum2
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8366600265
Coefficient of variation (CV)1.045825033
Kurtosis-0.612244898
Mean0.8
Median Absolute Deviation (MAD)1
Skewness0.5122408326
Sum4
Variance0.7
MonotonicityNot monotonic
2025-02-26T17:42:47.655896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 2
 
0.5%
1 2
 
0.5%
2 1
 
0.2%
(Missing) 407
98.8%
ValueCountFrequency (%)
0 2
0.5%
1 2
0.5%
2 1
0.2%
ValueCountFrequency (%)
2 1
0.2%
1 2
0.5%
0 2
0.5%

w1_E07
Text

Missing 

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

Distinct4
Distinct (%)100.0%
Missing408
Missing (%)99.0%
Memory size3.5 KiB
2025-02-26T17:42:47.721827image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length28
Median length23.5
Mean length19.25
Min length2

Characters and Unicode

Total characters77
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

Unique4 ?
Unique (%)100.0%

Sample

1st rowSiri (if that counts)
2nd rowWhatsapp, Facebook Messanger
3rd rowNo
4th rowGrocery List Bot -Telegram
ValueCountFrequency (%)
siri 1
8.3%
if 1
8.3%
that 1
8.3%
counts 1
8.3%
whatsapp 1
8.3%
facebook 1
8.3%
messanger 1
8.3%
no 1
8.3%
grocery 1
8.3%
list 1
8.3%
Other values (2) 2
16.7%
2025-02-26T17:42:47.828309image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
10.4%
t 6
 
7.8%
a 6
 
7.8%
o 6
 
7.8%
e 6
 
7.8%
r 5
 
6.5%
s 5
 
6.5%
i 4
 
5.2%
c 3
 
3.9%
h 2
 
2.6%
Other values (23) 26
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 77
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8
 
10.4%
t 6
 
7.8%
a 6
 
7.8%
o 6
 
7.8%
e 6
 
7.8%
r 5
 
6.5%
s 5
 
6.5%
i 4
 
5.2%
c 3
 
3.9%
h 2
 
2.6%
Other values (23) 26
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 77
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8
 
10.4%
t 6
 
7.8%
a 6
 
7.8%
o 6
 
7.8%
e 6
 
7.8%
r 5
 
6.5%
s 5
 
6.5%
i 4
 
5.2%
c 3
 
3.9%
h 2
 
2.6%
Other values (23) 26
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 77
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8
 
10.4%
t 6
 
7.8%
a 6
 
7.8%
o 6
 
7.8%
e 6
 
7.8%
r 5
 
6.5%
s 5
 
6.5%
i 4
 
5.2%
c 3
 
3.9%
h 2
 
2.6%
Other values (23) 26
33.8%

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

Distinct4
Distinct (%)80.0%
Missing407
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean2.6
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.872702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile4.8
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.816590212
Coefficient of variation (CV)0.6986885433
Kurtosis-2.231404959
Mean2.6
Median Absolute Deviation (MAD)1
Skewness0.5671631517
Sum13
Variance3.3
MonotonicityNot monotonic
2025-02-26T17:42:47.912468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 2
 
0.5%
2 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
(Missing) 407
98.8%
ValueCountFrequency (%)
1 2
0.5%
2 1
0.2%
4 1
0.2%
5 1
0.2%
ValueCountFrequency (%)
5 1
0.2%
4 1
0.2%
2 1
0.2%
1 2
0.5%

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)

Distinct4
Distinct (%)80.0%
Missing407
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean3.2
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:47.951927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q13
median3
Q34
95-th percentile4.8
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.483239697
Coefficient of variation (CV)0.4635124054
Kurtosis0.867768595
Mean3.2
Median Absolute Deviation (MAD)1
Skewness-0.5516180693
Sum16
Variance2.2
MonotonicityNot monotonic
2025-02-26T17:42:47.990952image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 2
 
0.5%
1 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
(Missing) 407
98.8%
ValueCountFrequency (%)
1 1
0.2%
3 2
0.5%
4 1
0.2%
5 1
0.2%
ValueCountFrequency (%)
5 1
0.2%
4 1
0.2%
3 2
0.5%
1 1
0.2%

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)

Distinct3
Distinct (%)60.0%
Missing407
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:48.028223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q13
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.224744871
Coefficient of variation (CV)0.4082482905
Kurtosis2
Mean3
Median Absolute Deviation (MAD)1
Skewness-1.360827635
Sum15
Variance1.5
MonotonicityNot monotonic
2025-02-26T17:42:48.064909image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 2
 
0.5%
4 2
 
0.5%
1 1
 
0.2%
(Missing) 407
98.8%
ValueCountFrequency (%)
1 1
0.2%
3 2
0.5%
4 2
0.5%
ValueCountFrequency (%)
4 2
0.5%
3 2
0.5%
1 1
0.2%

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)

Distinct3
Distinct (%)60.0%
Missing407
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:48.100222image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q13
median3
Q33
95-th percentile3.8
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.095445115
Coefficient of variation (CV)0.3912303982
Kurtosis2.916666667
Mean2.8
Median Absolute Deviation (MAD)0
Skewness-1.293233816
Sum14
Variance1.2
MonotonicityNot monotonic
2025-02-26T17:42:48.136328image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 3
 
0.7%
1 1
 
0.2%
4 1
 
0.2%
(Missing) 407
98.8%
ValueCountFrequency (%)
1 1
 
0.2%
3 3
0.7%
4 1
 
0.2%
ValueCountFrequency (%)
4 1
 
0.2%
3 3
0.7%
1 1
 
0.2%

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)

Distinct2
Distinct (%)40.0%
Missing407
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:48.173178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.2
Q13
median3
Q33
95-th percentile3
Maximum3
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4472135955
Coefficient of variation (CV)0.1597191412
Kurtosis5
Mean2.8
Median Absolute Deviation (MAD)0
Skewness-2.236067977
Sum14
Variance0.2
MonotonicityNot monotonic
2025-02-26T17:42:48.209713image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
3 4
 
1.0%
2 1
 
0.2%
(Missing) 407
98.8%
ValueCountFrequency (%)
2 1
 
0.2%
3 4
1.0%
ValueCountFrequency (%)
3 4
1.0%
2 1
 
0.2%

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)

Distinct2
Distinct (%)40.0%
Missing407
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:48.246702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.2
Q13
median3
Q33
95-th percentile3
Maximum3
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4472135955
Coefficient of variation (CV)0.1597191412
Kurtosis5
Mean2.8
Median Absolute Deviation (MAD)0
Skewness-2.236067977
Sum14
Variance0.2
MonotonicityNot monotonic
2025-02-26T17:42:48.283335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
3 4
 
1.0%
2 1
 
0.2%
(Missing) 407
98.8%
ValueCountFrequency (%)
2 1
 
0.2%
3 4
1.0%
ValueCountFrequency (%)
3 4
1.0%
2 1
 
0.2%

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)

Distinct3
Distinct (%)60.0%
Missing407
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:48.317324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q13
median3
Q33
95-th percentile3.8
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.095445115
Coefficient of variation (CV)0.3912303982
Kurtosis2.916666667
Mean2.8
Median Absolute Deviation (MAD)0
Skewness-1.293233816
Sum14
Variance1.2
MonotonicityNot monotonic
2025-02-26T17:42:48.353737image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 3
 
0.7%
1 1
 
0.2%
4 1
 
0.2%
(Missing) 407
98.8%
ValueCountFrequency (%)
1 1
 
0.2%
3 3
0.7%
4 1
 
0.2%
ValueCountFrequency (%)
4 1
 
0.2%
3 3
0.7%
1 1
 
0.2%

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)

Distinct3
Distinct (%)60.0%
Missing407
Missing (%)98.8%
Infinite0
Infinite (%)0.0%
Mean3.4
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:48.389945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q13
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.673320053
Coefficient of variation (CV)0.4921529568
Kurtosis-0.612244898
Mean3.4
Median Absolute Deviation (MAD)2
Skewness-0.5122408326
Sum17
Variance2.8
MonotonicityNot monotonic
2025-02-26T17:42:48.429358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 2
 
0.5%
5 2
 
0.5%
1 1
 
0.2%
(Missing) 407
98.8%
ValueCountFrequency (%)
1 1
0.2%
3 2
0.5%
5 2
0.5%
ValueCountFrequency (%)
5 2
0.5%
3 2
0.5%
1 1
0.2%

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 (%)1.8%
Missing186
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean3.389380531
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:48.534331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9746441249
Coefficient of variation (CV)0.2875581883
Kurtosis0.09474039829
Mean3.389380531
Median Absolute Deviation (MAD)0
Skewness-1.254480031
Sum766
Variance0.9499311701
MonotonicityNot monotonic
2025-02-26T17:42:48.571739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 154
37.4%
2 38
 
9.2%
3 20
 
4.9%
1 14
 
3.4%
(Missing) 186
45.1%
ValueCountFrequency (%)
1 14
 
3.4%
2 38
 
9.2%
3 20
 
4.9%
4 154
37.4%
ValueCountFrequency (%)
4 154
37.4%
3 20
 
4.9%
2 38
 
9.2%
1 14
 
3.4%

w1_F02
Real number (ℝ)

Missing  Zeros 

Distinct7
Distinct (%)9.7%
Missing340
Missing (%)82.5%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum0
Maximum6
Zeros22
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:48.609470image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.286440662
Coefficient of variation (CV)1.02915253
Kurtosis2.369453838
Mean1.25
Median Absolute Deviation (MAD)1
Skewness1.434083418
Sum90
Variance1.654929577
MonotonicityNot monotonic
2025-02-26T17:42:48.645951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 28
 
6.8%
0 22
 
5.3%
2 12
 
2.9%
3 5
 
1.2%
4 3
 
0.7%
6 1
 
0.2%
5 1
 
0.2%
(Missing) 340
82.5%
ValueCountFrequency (%)
0 22
5.3%
1 28
6.8%
2 12
2.9%
3 5
 
1.2%
4 3
 
0.7%
ValueCountFrequency (%)
6 1
 
0.2%
5 1
 
0.2%
4 3
 
0.7%
3 5
1.2%
2 12
2.9%

w1_F03_1
Boolean

Imbalance 

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

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
410 
True
 
2
ValueCountFrequency (%)
False 410
99.5%
True 2
 
0.5%
2025-02-26T17:42:48.684637image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
409 
True
 
3
ValueCountFrequency (%)
False 409
99.3%
True 3
 
0.7%
2025-02-26T17:42:48.719328image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
410 
True
 
2
ValueCountFrequency (%)
False 410
99.5%
True 2
 
0.5%
2025-02-26T17:42:48.754046image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
405 
True
 
7
ValueCountFrequency (%)
False 405
98.3%
True 7
 
1.7%
2025-02-26T17:42:48.789534image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
403 
True
 
9
ValueCountFrequency (%)
False 403
97.8%
True 9
 
2.2%
2025-02-26T17:42:48.824165image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
405 
True
 
7
ValueCountFrequency (%)
False 405
98.3%
True 7
 
1.7%
2025-02-26T17:42:48.859618image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
403 
True
 
9
ValueCountFrequency (%)
False 403
97.8%
True 9
 
2.2%
2025-02-26T17:42:48.894274image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
409 
True
 
3
ValueCountFrequency (%)
False 409
99.3%
True 3
 
0.7%
2025-02-26T17:42:48.930215image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
407 
True
 
5
ValueCountFrequency (%)
False 407
98.8%
True 5
 
1.2%
2025-02-26T17:42:48.964669image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
407 
True
 
5
ValueCountFrequency (%)
False 407
98.8%
True 5
 
1.2%
2025-02-26T17:42:48.999350image/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: ________

Distinct8
Distinct (%)100.0%
Missing404
Missing (%)98.1%
Memory size3.6 KiB
2025-02-26T17:42:49.086730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length65
Median length21
Mean length25.125
Min length5

Characters and Unicode

Total characters201
Distinct characters32
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

Unique8 ?
Unique (%)100.0%

Sample

1st rowSustainability
2nd rowClimate club, sustainability on campus
3rd rowRelated to field of study
4th rowSocial gatherings
5th rowTutor
ValueCountFrequency (%)
sustainability 2
 
6.9%
climate 1
 
3.4%
club 1
 
3.4%
on 1
 
3.4%
campus 1
 
3.4%
related 1
 
3.4%
to 1
 
3.4%
field 1
 
3.4%
of 1
 
3.4%
study 1
 
3.4%
Other values (18) 18
62.1%
2025-02-26T17:42:49.227794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
10.4%
t 17
 
8.5%
o 16
 
8.0%
a 15
 
7.5%
i 15
 
7.5%
e 13
 
6.5%
s 12
 
6.0%
n 12
 
6.0%
u 8
 
4.0%
l 8
 
4.0%
Other values (22) 64
31.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 201
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
21
 
10.4%
t 17
 
8.5%
o 16
 
8.0%
a 15
 
7.5%
i 15
 
7.5%
e 13
 
6.5%
s 12
 
6.0%
n 12
 
6.0%
u 8
 
4.0%
l 8
 
4.0%
Other values (22) 64
31.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 201
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
21
 
10.4%
t 17
 
8.5%
o 16
 
8.0%
a 15
 
7.5%
i 15
 
7.5%
e 13
 
6.5%
s 12
 
6.0%
n 12
 
6.0%
u 8
 
4.0%
l 8
 
4.0%
Other values (22) 64
31.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 201
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
21
 
10.4%
t 17
 
8.5%
o 16
 
8.0%
a 15
 
7.5%
i 15
 
7.5%
e 13
 
6.5%
s 12
 
6.0%
n 12
 
6.0%
u 8
 
4.0%
l 8
 
4.0%
Other values (22) 64
31.8%

w1_F04_1
Boolean

Imbalance 

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

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
407 
True
 
5
ValueCountFrequency (%)
False 407
98.8%
True 5
 
1.2%
2025-02-26T17:42:49.274228image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
401 
True
 
11
ValueCountFrequency (%)
False 401
97.3%
True 11
 
2.7%
2025-02-26T17:42:49.310041image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
409 
True
 
3
ValueCountFrequency (%)
False 409
99.3%
True 3
 
0.7%
2025-02-26T17:42:49.345141image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
402 
True
 
10
ValueCountFrequency (%)
False 402
97.6%
True 10
 
2.4%
2025-02-26T17:42:49.379773image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
408 
True
 
4
ValueCountFrequency (%)
False 408
99.0%
True 4
 
1.0%
2025-02-26T17:42:49.415362image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
391 
True
 
21
ValueCountFrequency (%)
False 391
94.9%
True 21
 
5.1%
2025-02-26T17:42:49.450028image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
399 
True
 
13
ValueCountFrequency (%)
False 399
96.8%
True 13
 
3.2%
2025-02-26T17:42:49.485488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_8
Boolean

Constant 

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

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
412 
ValueCountFrequency (%)
False 412
100.0%
2025-02-26T17:42:49.519091image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
388 
True
 
24
ValueCountFrequency (%)
False 388
94.2%
True 24
 
5.8%
2025-02-26T17:42:49.552970image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
402 
True
 
10
ValueCountFrequency (%)
False 402
97.6%
True 10
 
2.4%
2025-02-26T17:42:49.588496image/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

Distinct5
Distinct (%)100.0%
Missing407
Missing (%)98.8%
Memory size3.5 KiB
2025-02-26T17:42:49.654645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length59
Median length8
Mean length16.8
Min length5

Characters and Unicode

Total characters84
Distinct characters24
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

Unique5 ?
Unique (%)100.0%

Sample

1st rowa group that work on getting district heating in their area
2nd rowDance
3rd rowHealth
4th rowGaming
5th rowSorority
ValueCountFrequency (%)
a 1
 
6.7%
group 1
 
6.7%
that 1
 
6.7%
work 1
 
6.7%
on 1
 
6.7%
getting 1
 
6.7%
district 1
 
6.7%
heating 1
 
6.7%
in 1
 
6.7%
their 1
 
6.7%
Other values (5) 5
33.3%
2025-02-26T17:42:49.772576image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10
11.9%
t 10
11.9%
a 8
9.5%
i 8
9.5%
r 7
8.3%
n 6
 
7.1%
e 6
 
7.1%
g 5
 
6.0%
o 5
 
6.0%
h 4
 
4.8%
Other values (14) 15
17.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 84
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
10
11.9%
t 10
11.9%
a 8
9.5%
i 8
9.5%
r 7
8.3%
n 6
 
7.1%
e 6
 
7.1%
g 5
 
6.0%
o 5
 
6.0%
h 4
 
4.8%
Other values (14) 15
17.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 84
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
10
11.9%
t 10
11.9%
a 8
9.5%
i 8
9.5%
r 7
8.3%
n 6
 
7.1%
e 6
 
7.1%
g 5
 
6.0%
o 5
 
6.0%
h 4
 
4.8%
Other values (14) 15
17.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 84
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
10
11.9%
t 10
11.9%
a 8
9.5%
i 8
9.5%
r 7
8.3%
n 6
 
7.1%
e 6
 
7.1%
g 5
 
6.0%
o 5
 
6.0%
h 4
 
4.8%
Other values (14) 15
17.9%

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 (%)0.9%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.917431193
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:49.817260image/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 deviation0.2758627979
Coefficient of variation (CV)0.1438710286
Kurtosis7.397080175
Mean1.917431193
Median Absolute Deviation (MAD)0
Skewness-3.054390077
Sum418
Variance0.07610028326
MonotonicityNot monotonic
2025-02-26T17:42:49.853949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 200
48.5%
1 18
 
4.4%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 18
 
4.4%
2 200
48.5%
ValueCountFrequency (%)
2 200
48.5%
1 18
 
4.4%

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 (%)0.9%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.995412844
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:49.889697image/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 deviation0.06772854615
Coefficient of variation (CV)0.03394212198
Kurtosis218
Mean1.995412844
Median Absolute Deviation (MAD)0
Skewness-14.76482306
Sum435
Variance0.004587155963
MonotonicityNot monotonic
2025-02-26T17:42:49.927057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 217
52.7%
1 1
 
0.2%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 1
 
0.2%
2 217
52.7%
ValueCountFrequency (%)
2 217
52.7%
1 1
 
0.2%

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 (%)0.9%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.972477064
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:49.964804image/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 deviation0.1639779459
Coefficient of variation (CV)0.08313300515
Kurtosis32.1210377
Mean1.972477064
Median Absolute Deviation (MAD)0
Skewness-5.816048605
Sum430
Variance0.02688876675
MonotonicityNot monotonic
2025-02-26T17:42:50.001801image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 212
51.5%
1 6
 
1.5%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 6
 
1.5%
2 212
51.5%
ValueCountFrequency (%)
2 212
51.5%
1 6
 
1.5%

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 (%)0.9%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.876146789
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.038524image/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 deviation0.3301721608
Coefficient of variation (CV)0.1759841835
Kurtosis3.318456788
Mean1.876146789
Median Absolute Deviation (MAD)0
Skewness-2.299585941
Sum409
Variance0.1090136558
MonotonicityNot monotonic
2025-02-26T17:42:50.075997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 191
46.4%
1 27
 
6.6%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 27
 
6.6%
2 191
46.4%
ValueCountFrequency (%)
2 191
46.4%
1 27
 
6.6%

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 (%)0.9%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.779816514
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.112557image/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 deviation0.4153239403
Coefficient of variation (CV)0.2333521108
Kurtosis-0.1520481519
Mean1.779816514
Median Absolute Deviation (MAD)0
Skewness-1.359938015
Sum388
Variance0.1724939754
MonotonicityNot monotonic
2025-02-26T17:42:50.152138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 170
41.3%
1 48
 
11.7%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 48
 
11.7%
2 170
41.3%
ValueCountFrequency (%)
2 170
41.3%
1 48
 
11.7%

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 (%)0.9%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.885321101
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.189379image/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 deviation0.3193673724
Coefficient of variation (CV)0.1693968058
Kurtosis3.967342571
Mean1.885321101
Median Absolute Deviation (MAD)0
Skewness-2.435370188
Sum411
Variance0.1019955185
MonotonicityNot monotonic
2025-02-26T17:42:50.226903image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 193
46.8%
1 25
 
6.1%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 25
 
6.1%
2 193
46.8%
ValueCountFrequency (%)
2 193
46.8%
1 25
 
6.1%

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 (%)0.9%
Missing196
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean1.851851852
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.262861image/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 deviation0.3560719764
Coefficient of variation (CV)0.1922788672
Kurtosis1.99750259
Mean1.851851852
Median Absolute Deviation (MAD)0
Skewness-1.994766286
Sum400
Variance0.1267872524
MonotonicityNot monotonic
2025-02-26T17:42:50.301040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 184
44.7%
1 32
 
7.8%
(Missing) 196
47.6%
ValueCountFrequency (%)
1 32
 
7.8%
2 184
44.7%
ValueCountFrequency (%)
2 184
44.7%
1 32
 
7.8%

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 (%)0.9%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.80733945
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.338798image/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 deviation0.3952964056
Coefficient of variation (CV)0.2187173006
Kurtosis0.467155812
Mean1.80733945
Median Absolute Deviation (MAD)0
Skewness-1.569380246
Sum394
Variance0.1562592483
MonotonicityNot monotonic
2025-02-26T17:42:50.377071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 176
42.7%
1 42
 
10.2%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 42
 
10.2%
2 176
42.7%
ValueCountFrequency (%)
2 176
42.7%
1 42
 
10.2%

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 (%)0.9%
Missing198
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean1.985981308
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.415087image/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 deviation0.1178433735
Coefficient of variation (CV)0.05933760455
Kurtosis67.95278802
Mean1.985981308
Median Absolute Deviation (MAD)0
Skewness-8.325729705
Sum425
Variance0.01388706068
MonotonicityNot monotonic
2025-02-26T17:42:50.451768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 211
51.2%
1 3
 
0.7%
(Missing) 198
48.1%
ValueCountFrequency (%)
1 3
 
0.7%
2 211
51.2%
ValueCountFrequency (%)
2 211
51.2%
1 3
 
0.7%

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 (%)2.8%
Missing195
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean1.894009217
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.487252image/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 deviation1.277588534
Coefficient of variation (CV)0.6745418782
Kurtosis2.060973288
Mean1.894009217
Median Absolute Deviation (MAD)0
Skewness1.611917666
Sum411
Variance1.632232463
MonotonicityNot monotonic
2025-02-26T17:42:50.526238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 117
28.4%
2 52
 
12.6%
3 21
 
5.1%
4 15
 
3.6%
6 7
 
1.7%
5 5
 
1.2%
(Missing) 195
47.3%
ValueCountFrequency (%)
1 117
28.4%
2 52
12.6%
3 21
 
5.1%
4 15
 
3.6%
5 5
 
1.2%
ValueCountFrequency (%)
6 7
 
1.7%
5 5
 
1.2%
4 15
 
3.6%
3 21
5.1%
2 52
12.6%

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 (%)2.8%
Missing196
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean2.62962963
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.562576image/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 deviation1.540719207
Coefficient of variation (CV)0.5859073042
Kurtosis-0.4221245672
Mean2.62962963
Median Absolute Deviation (MAD)1
Skewness0.7548260021
Sum568
Variance2.373815676
MonotonicityNot monotonic
2025-02-26T17:42:50.602060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 64
 
15.5%
2 55
 
13.3%
3 41
 
10.0%
4 25
 
6.1%
6 16
 
3.9%
5 15
 
3.6%
(Missing) 196
47.6%
ValueCountFrequency (%)
1 64
15.5%
2 55
13.3%
3 41
10.0%
4 25
 
6.1%
5 15
 
3.6%
ValueCountFrequency (%)
6 16
 
3.9%
5 15
 
3.6%
4 25
6.1%
3 41
10.0%
2 55
13.3%

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 (%)2.8%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.651376147
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.638537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.130850557
Coefficient of variation (CV)0.6847928373
Kurtosis4.340629428
Mean1.651376147
Median Absolute Deviation (MAD)0
Skewness2.108049965
Sum360
Variance1.278822982
MonotonicityNot monotonic
2025-02-26T17:42:50.677356image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 141
34.2%
2 43
 
10.4%
3 16
 
3.9%
4 10
 
2.4%
6 5
 
1.2%
5 3
 
0.7%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 141
34.2%
2 43
 
10.4%
3 16
 
3.9%
4 10
 
2.4%
5 3
 
0.7%
ValueCountFrequency (%)
6 5
 
1.2%
5 3
 
0.7%
4 10
 
2.4%
3 16
 
3.9%
2 43
10.4%

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 (%)2.8%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean2.573394495
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.714886image/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 deviation1.619759452
Coefficient of variation (CV)0.6294252416
Kurtosis-0.6728852469
Mean2.573394495
Median Absolute Deviation (MAD)1
Skewness0.7273176593
Sum561
Variance2.623620682
MonotonicityNot monotonic
2025-02-26T17:42:50.751797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 80
19.4%
2 45
 
10.9%
3 31
 
7.5%
4 28
 
6.8%
5 18
 
4.4%
6 16
 
3.9%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 80
19.4%
2 45
10.9%
3 31
 
7.5%
4 28
 
6.8%
5 18
 
4.4%
ValueCountFrequency (%)
6 16
 
3.9%
5 18
 
4.4%
4 28
6.8%
3 31
7.5%
2 45
10.9%

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 (%)2.8%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.435779817
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.788185image/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 deviation0.9396560735
Coefficient of variation (CV)0.6544569458
Kurtosis6.976728581
Mean1.435779817
Median Absolute Deviation (MAD)0
Skewness2.592515574
Sum313
Variance0.8829535365
MonotonicityNot monotonic
2025-02-26T17:42:50.826335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 165
40.0%
2 30
 
7.3%
3 10
 
2.4%
4 9
 
2.2%
5 2
 
0.5%
6 2
 
0.5%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 165
40.0%
2 30
 
7.3%
3 10
 
2.4%
4 9
 
2.2%
5 2
 
0.5%
ValueCountFrequency (%)
6 2
 
0.5%
5 2
 
0.5%
4 9
 
2.2%
3 10
 
2.4%
2 30
7.3%

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 (%)2.8%
Missing196
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean2.143518519
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:50.862707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1.5
Q33
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.488796808
Coefficient of variation (CV)0.694557474
Kurtosis0.3540758934
Mean2.143518519
Median Absolute Deviation (MAD)0.5
Skewness1.202387226
Sum463
Variance2.216515935
MonotonicityNot monotonic
2025-02-26T17:42:50.968866image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 108
26.2%
2 43
 
10.4%
3 24
 
5.8%
4 18
 
4.4%
5 13
 
3.2%
6 10
 
2.4%
(Missing) 196
47.6%
ValueCountFrequency (%)
1 108
26.2%
2 43
 
10.4%
3 24
 
5.8%
4 18
 
4.4%
5 13
 
3.2%
ValueCountFrequency (%)
6 10
 
2.4%
5 13
 
3.2%
4 18
4.4%
3 24
5.8%
2 43
10.4%

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 (%)2.8%
Missing196
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean4.194444444
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.005100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.735850885
Coefficient of variation (CV)0.4138452441
Kurtosis-0.955965067
Mean4.194444444
Median Absolute Deviation (MAD)1
Skewness-0.6044994384
Sum906
Variance3.013178295
MonotonicityNot monotonic
2025-02-26T17:42:51.044489image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 68
 
16.5%
5 47
 
11.4%
4 32
 
7.8%
1 26
 
6.3%
3 23
 
5.6%
2 20
 
4.9%
(Missing) 196
47.6%
ValueCountFrequency (%)
1 26
6.3%
2 20
4.9%
3 23
5.6%
4 32
7.8%
5 47
11.4%
ValueCountFrequency (%)
6 68
16.5%
5 47
11.4%
4 32
7.8%
3 23
 
5.6%
2 20
 
4.9%

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 (%)2.8%
Missing196
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean2.99537037
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.081394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.808243874
Coefficient of variation (CV)0.6036795623
Kurtosis-1.230742358
Mean2.99537037
Median Absolute Deviation (MAD)1
Skewness0.4547849737
Sum647
Variance3.269745909
MonotonicityNot monotonic
2025-02-26T17:42:51.120503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 60
 
14.6%
2 50
 
12.1%
6 32
 
7.8%
3 27
 
6.6%
5 26
 
6.3%
4 21
 
5.1%
(Missing) 196
47.6%
ValueCountFrequency (%)
1 60
14.6%
2 50
12.1%
3 27
6.6%
4 21
 
5.1%
5 26
6.3%
ValueCountFrequency (%)
6 32
7.8%
5 26
6.3%
4 21
5.1%
3 27
6.6%
2 50
12.1%

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 (%)2.8%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean2.435779817
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.156848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.642748228
Coefficient of variation (CV)0.6744239428
Kurtosis-0.3933542724
Mean2.435779817
Median Absolute Deviation (MAD)1
Skewness0.9078974738
Sum531
Variance2.698621739
MonotonicityNot monotonic
2025-02-26T17:42:51.193852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 94
22.8%
2 38
 
9.2%
3 34
 
8.3%
4 19
 
4.6%
6 18
 
4.4%
5 15
 
3.6%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 94
22.8%
2 38
9.2%
3 34
 
8.3%
4 19
 
4.6%
5 15
 
3.6%
ValueCountFrequency (%)
6 18
4.4%
5 15
 
3.6%
4 19
4.6%
3 34
8.3%
2 38
9.2%

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 (%)2.8%
Missing196
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean2.828703704
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.230199image/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 deviation1.77405335
Coefficient of variation (CV)0.6271612497
Kurtosis-1.088212164
Mean2.828703704
Median Absolute Deviation (MAD)1
Skewness0.5194691705
Sum611
Variance3.147265289
MonotonicityNot monotonic
2025-02-26T17:42:51.268892image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 75
 
18.2%
2 36
 
8.7%
4 32
 
7.8%
3 28
 
6.8%
6 27
 
6.6%
5 18
 
4.4%
(Missing) 196
47.6%
ValueCountFrequency (%)
1 75
18.2%
2 36
8.7%
3 28
 
6.8%
4 32
7.8%
5 18
 
4.4%
ValueCountFrequency (%)
6 27
6.6%
5 18
4.4%
4 32
7.8%
3 28
6.8%
2 36
8.7%

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 (%)2.8%
Missing195
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean3.193548387
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.306956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.843244633
Coefficient of variation (CV)0.5771776123
Kurtosis-1.358039463
Mean3.193548387
Median Absolute Deviation (MAD)2
Skewness0.2628700509
Sum693
Variance3.397550777
MonotonicityNot monotonic
2025-02-26T17:42:51.344925image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 57
 
13.8%
6 39
 
9.5%
2 38
 
9.2%
3 30
 
7.3%
4 29
 
7.0%
5 24
 
5.8%
(Missing) 195
47.3%
ValueCountFrequency (%)
1 57
13.8%
2 38
9.2%
3 30
7.3%
4 29
7.0%
5 24
5.8%
ValueCountFrequency (%)
6 39
9.5%
5 24
5.8%
4 29
7.0%
3 30
7.3%
2 38
9.2%

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 (%)2.8%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean2.816513761
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.381054image/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 deviation1.768464864
Coefficient of variation (CV)0.6278914337
Kurtosis-1.088877242
Mean2.816513761
Median Absolute Deviation (MAD)1
Skewness0.554098852
Sum614
Variance3.127467974
MonotonicityNot monotonic
2025-02-26T17:42:51.421191image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 72
 
17.5%
2 47
 
11.4%
4 29
 
7.0%
6 26
 
6.3%
3 22
 
5.3%
5 22
 
5.3%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 72
17.5%
2 47
11.4%
3 22
 
5.3%
4 29
7.0%
5 22
 
5.3%
ValueCountFrequency (%)
6 26
6.3%
5 22
5.3%
4 29
7.0%
3 22
5.3%
2 47
11.4%

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 (%)2.8%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean3.013761468
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.458157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.779243763
Coefficient of variation (CV)0.5903731206
Kurtosis-1.191599616
Mean3.013761468
Median Absolute Deviation (MAD)2
Skewness0.3605445445
Sum657
Variance3.165708367
MonotonicityNot monotonic
2025-02-26T17:42:51.497175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 66
 
16.0%
4 36
 
8.7%
3 34
 
8.3%
2 32
 
7.8%
6 31
 
7.5%
5 19
 
4.6%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 66
16.0%
2 32
7.8%
3 34
8.3%
4 36
8.7%
5 19
 
4.6%
ValueCountFrequency (%)
6 31
7.5%
5 19
4.6%
4 36
8.7%
3 34
8.3%
2 32
7.8%

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 (%)2.8%
Missing194
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean3.444954128
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.533717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.767394721
Coefficient of variation (CV)0.5130386806
Kurtosis-1.306865487
Mean3.444954128
Median Absolute Deviation (MAD)1.5
Skewness-0.01434421044
Sum751
Variance3.123684099
MonotonicityNot monotonic
2025-02-26T17:42:51.571692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 47
 
11.4%
4 38
 
9.2%
6 37
 
9.0%
3 36
 
8.7%
5 34
 
8.3%
2 26
 
6.3%
(Missing) 194
47.1%
ValueCountFrequency (%)
1 47
11.4%
2 26
6.3%
3 36
8.7%
4 38
9.2%
5 34
8.3%
ValueCountFrequency (%)
6 37
9.0%
5 34
8.3%
4 38
9.2%
3 36
8.7%
2 26
6.3%

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 (%)2.8%
Missing197
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean3.534883721
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.608136image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.966409951
Coefficient of variation (CV)0.5562870255
Kurtosis-1.557210757
Mean3.534883721
Median Absolute Deviation (MAD)2
Skewness-0.06558859097
Sum760
Variance3.866768094
MonotonicityNot monotonic
2025-02-26T17:42:51.646417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 58
 
14.1%
6 53
 
12.9%
5 36
 
8.7%
3 32
 
7.8%
2 18
 
4.4%
4 18
 
4.4%
(Missing) 197
47.8%
ValueCountFrequency (%)
1 58
14.1%
2 18
 
4.4%
3 32
7.8%
4 18
 
4.4%
5 36
8.7%
ValueCountFrequency (%)
6 53
12.9%
5 36
8.7%
4 18
 
4.4%
3 32
7.8%
2 18
 
4.4%

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 (%)2.8%
Missing197
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean2.525581395
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.683499image/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 deviation1.820969884
Coefficient of variation (CV)0.7210101752
Kurtosis-0.8155922417
Mean2.525581395
Median Absolute Deviation (MAD)1
Skewness0.820925153
Sum543
Variance3.315931319
MonotonicityNot monotonic
2025-02-26T17:42:51.721004image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 102
24.8%
2 28
 
6.8%
6 26
 
6.3%
3 25
 
6.1%
5 18
 
4.4%
4 16
 
3.9%
(Missing) 197
47.8%
ValueCountFrequency (%)
1 102
24.8%
2 28
 
6.8%
3 25
 
6.1%
4 16
 
3.9%
5 18
 
4.4%
ValueCountFrequency (%)
6 26
6.3%
5 18
4.4%
4 16
3.9%
3 25
6.1%
2 28
6.8%

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 (%)2.4%
Missing200
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean3.141509434
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.757614image/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 deviation1.463221656
Coefficient of variation (CV)0.465770257
Kurtosis-1.376056839
Mean3.141509434
Median Absolute Deviation (MAD)1
Skewness-0.1013825734
Sum666
Variance2.141017616
MonotonicityNot monotonic
2025-02-26T17:42:51.797612image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 55
 
13.3%
2 41
 
10.0%
4 39
 
9.5%
1 39
 
9.5%
3 38
 
9.2%
(Missing) 200
48.5%
ValueCountFrequency (%)
1 39
9.5%
2 41
10.0%
3 38
9.2%
4 39
9.5%
5 55
13.3%
ValueCountFrequency (%)
5 55
13.3%
4 39
9.5%
3 38
9.2%
2 41
10.0%
1 39
9.5%

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 (%)2.4%
Missing200
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean3.405660377
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.836889image/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 deviation1.510019
Coefficient of variation (CV)0.4433850805
Kurtosis-1.31914022
Mean3.405660377
Median Absolute Deviation (MAD)1
Skewness-0.4136226064
Sum722
Variance2.280157382
MonotonicityNot monotonic
2025-02-26T17:42:51.878775image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 73
 
17.7%
4 45
 
10.9%
1 37
 
9.0%
2 31
 
7.5%
3 26
 
6.3%
(Missing) 200
48.5%
ValueCountFrequency (%)
1 37
9.0%
2 31
7.5%
3 26
 
6.3%
4 45
10.9%
5 73
17.7%
ValueCountFrequency (%)
5 73
17.7%
4 45
10.9%
3 26
 
6.3%
2 31
7.5%
1 37
9.0%

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 (%)2.4%
Missing201
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean4.203791469
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:51.920123image/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 deviation1.26535703
Coefficient of variation (CV)0.301003758
Kurtosis0.6457045236
Mean4.203791469
Median Absolute Deviation (MAD)0
Skewness-1.400841632
Sum887
Variance1.601128413
MonotonicityNot monotonic
2025-02-26T17:42:51.963190image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 137
33.3%
4 23
 
5.6%
3 22
 
5.3%
2 15
 
3.6%
1 14
 
3.4%
(Missing) 201
48.8%
ValueCountFrequency (%)
1 14
 
3.4%
2 15
 
3.6%
3 22
 
5.3%
4 23
 
5.6%
5 137
33.3%
ValueCountFrequency (%)
5 137
33.3%
4 23
 
5.6%
3 22
 
5.3%
2 15
 
3.6%
1 14
 
3.4%

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 (%)2.4%
Missing201
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean3.872037915
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.004404image/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 deviation1.3999065
Coefficient of variation (CV)0.3615425599
Kurtosis-0.6291503561
Mean3.872037915
Median Absolute Deviation (MAD)0
Skewness-0.8841835453
Sum817
Variance1.959738208
MonotonicityNot monotonic
2025-02-26T17:42:52.045138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 109
26.5%
4 30
 
7.3%
3 29
 
7.0%
2 22
 
5.3%
1 21
 
5.1%
(Missing) 201
48.8%
ValueCountFrequency (%)
1 21
 
5.1%
2 22
 
5.3%
3 29
 
7.0%
4 30
 
7.3%
5 109
26.5%
ValueCountFrequency (%)
5 109
26.5%
4 30
 
7.3%
3 29
 
7.0%
2 22
 
5.3%
1 21
 
5.1%

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 (%)2.4%
Missing201
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean4.142180095
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.085051image/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 deviation1.386558942
Coefficient of variation (CV)0.3347413465
Kurtosis0.2514850132
Mean4.142180095
Median Absolute Deviation (MAD)0
Skewness-1.33962375
Sum874
Variance1.922545701
MonotonicityNot monotonic
2025-02-26T17:42:52.127948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 140
34.0%
1 21
 
5.1%
4 19
 
4.6%
2 16
 
3.9%
3 15
 
3.6%
(Missing) 201
48.8%
ValueCountFrequency (%)
1 21
 
5.1%
2 16
 
3.9%
3 15
 
3.6%
4 19
 
4.6%
5 140
34.0%
ValueCountFrequency (%)
5 140
34.0%
4 19
 
4.6%
3 15
 
3.6%
2 16
 
3.9%
1 21
 
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 (%)2.4%
Missing202
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean4.647619048
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.168566image/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 deviation1.025800678
Coefficient of variation (CV)0.2207153098
Kurtosis7.118303768
Mean4.647619048
Median Absolute Deviation (MAD)0
Skewness-2.901418598
Sum976
Variance1.052267031
MonotonicityNot monotonic
2025-02-26T17:42:52.209956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 184
44.7%
1 12
 
2.9%
3 8
 
1.9%
4 4
 
1.0%
2 2
 
0.5%
(Missing) 202
49.0%
ValueCountFrequency (%)
1 12
 
2.9%
2 2
 
0.5%
3 8
 
1.9%
4 4
 
1.0%
5 184
44.7%
ValueCountFrequency (%)
5 184
44.7%
4 4
 
1.0%
3 8
 
1.9%
2 2
 
0.5%
1 12
 
2.9%

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 (%)2.4%
Missing201
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean4.55450237
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.251177image/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 deviation1.121485458
Coefficient of variation (CV)0.2462366614
Kurtosis4.68929913
Mean4.55450237
Median Absolute Deviation (MAD)0
Skewness-2.46877501
Sum961
Variance1.257729632
MonotonicityNot monotonic
2025-02-26T17:42:52.292660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 176
42.7%
1 14
 
3.4%
4 9
 
2.2%
3 7
 
1.7%
2 5
 
1.2%
(Missing) 201
48.8%
ValueCountFrequency (%)
1 14
 
3.4%
2 5
 
1.2%
3 7
 
1.7%
4 9
 
2.2%
5 176
42.7%
ValueCountFrequency (%)
5 176
42.7%
4 9
 
2.2%
3 7
 
1.7%
2 5
 
1.2%
1 14
 
3.4%

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 (%)2.4%
Missing200
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean4.29245283
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.333912image/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 deviation1.284002784
Coefficient of variation (CV)0.2991303189
Kurtosis1.162023445
Mean4.29245283
Median Absolute Deviation (MAD)0
Skewness-1.619410865
Sum910
Variance1.648663149
MonotonicityNot monotonic
2025-02-26T17:42:52.375518image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 152
36.9%
1 16
 
3.9%
4 16
 
3.9%
2 14
 
3.4%
3 14
 
3.4%
(Missing) 200
48.5%
ValueCountFrequency (%)
1 16
 
3.9%
2 14
 
3.4%
3 14
 
3.4%
4 16
 
3.9%
5 152
36.9%
ValueCountFrequency (%)
5 152
36.9%
4 16
 
3.9%
3 14
 
3.4%
2 14
 
3.4%
1 16
 
3.9%

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 (%)2.4%
Missing201
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean3.962085308
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.415848image/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 deviation1.433770724
Coefficient of variation (CV)0.3618727544
Kurtosis-0.5256860655
Mean3.962085308
Median Absolute Deviation (MAD)0
Skewness-0.9996711039
Sum836
Variance2.055698488
MonotonicityNot monotonic
2025-02-26T17:42:52.457310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 125
30.3%
3 25
 
6.1%
1 22
 
5.3%
2 21
 
5.1%
4 18
 
4.4%
(Missing) 201
48.8%
ValueCountFrequency (%)
1 22
 
5.3%
2 21
 
5.1%
3 25
 
6.1%
4 18
 
4.4%
5 125
30.3%
ValueCountFrequency (%)
5 125
30.3%
4 18
 
4.4%
3 25
 
6.1%
2 21
 
5.1%
1 22
 
5.3%

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 (%)2.4%
Missing200
Missing (%)48.5%
Infinite0
Infinite (%)0.0%
Mean4.372641509
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.497032image/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 deviation1.25732229
Coefficient of variation (CV)0.2875429616
Kurtosis1.984884957
Mean4.372641509
Median Absolute Deviation (MAD)0
Skewness-1.860367419
Sum927
Variance1.58085934
MonotonicityNot monotonic
2025-02-26T17:42:52.538216image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 160
38.8%
1 17
 
4.1%
4 15
 
3.6%
3 10
 
2.4%
2 10
 
2.4%
(Missing) 200
48.5%
ValueCountFrequency (%)
1 17
 
4.1%
2 10
 
2.4%
3 10
 
2.4%
4 15
 
3.6%
5 160
38.8%
ValueCountFrequency (%)
5 160
38.8%
4 15
 
3.6%
3 10
 
2.4%
2 10
 
2.4%
1 17
 
4.1%

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 (%)2.3%
Missing195
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean2.414746544
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.577867image/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 deviation1.375501274
Coefficient of variation (CV)0.5696255276
Kurtosis-0.9177407932
Mean2.414746544
Median Absolute Deviation (MAD)1
Skewness0.5889798521
Sum524
Variance1.892003755
MonotonicityNot monotonic
2025-02-26T17:42:52.620262image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 76
 
18.4%
2 52
 
12.6%
3 37
 
9.0%
4 27
 
6.6%
5 25
 
6.1%
(Missing) 195
47.3%
ValueCountFrequency (%)
1 76
18.4%
2 52
12.6%
3 37
9.0%
4 27
 
6.6%
5 25
 
6.1%
ValueCountFrequency (%)
5 25
 
6.1%
4 27
 
6.6%
3 37
9.0%
2 52
12.6%
1 76
18.4%

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 (%)2.3%
Missing195
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean3.156682028
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.660534image/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 deviation1.516380942
Coefficient of variation (CV)0.480371773
Kurtosis-1.431201762
Mean3.156682028
Median Absolute Deviation (MAD)1
Skewness-0.1638879238
Sum685
Variance2.299411162
MonotonicityNot monotonic
2025-02-26T17:42:52.701243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 60
 
14.6%
1 47
 
11.4%
4 41
 
10.0%
3 36
 
8.7%
2 33
 
8.0%
(Missing) 195
47.3%
ValueCountFrequency (%)
1 47
11.4%
2 33
8.0%
3 36
8.7%
4 41
10.0%
5 60
14.6%
ValueCountFrequency (%)
5 60
14.6%
4 41
10.0%
3 36
8.7%
2 33
8.0%
1 47
11.4%

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 (%)2.3%
Missing197
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean2.874418605
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.741896image/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 deviation1.259745751
Coefficient of variation (CV)0.4382610622
Kurtosis-0.944239173
Mean2.874418605
Median Absolute Deviation (MAD)1
Skewness0.09761107603
Sum618
Variance1.586959357
MonotonicityNot monotonic
2025-02-26T17:42:52.782417image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 64
 
15.5%
2 47
 
11.4%
4 40
 
9.7%
1 37
 
9.0%
5 27
 
6.6%
(Missing) 197
47.8%
ValueCountFrequency (%)
1 37
9.0%
2 47
11.4%
3 64
15.5%
4 40
9.7%
5 27
6.6%
ValueCountFrequency (%)
5 27
6.6%
4 40
9.7%
3 64
15.5%
2 47
11.4%
1 37
9.0%

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 (%)2.4%
Missing201
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean3.066350711
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.823014image/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 deviation1.336432868
Coefficient of variation (CV)0.4358382304
Kurtosis-1.148694754
Mean3.066350711
Median Absolute Deviation (MAD)1
Skewness-0.02561969487
Sum647
Variance1.78605281
MonotonicityNot monotonic
2025-02-26T17:42:52.863306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 51
 
12.4%
2 45
 
10.9%
4 43
 
10.4%
5 40
 
9.7%
1 32
 
7.8%
(Missing) 201
48.8%
ValueCountFrequency (%)
1 32
7.8%
2 45
10.9%
3 51
12.4%
4 43
10.4%
5 40
9.7%
ValueCountFrequency (%)
5 40
9.7%
4 43
10.4%
3 51
12.4%
2 45
10.9%
1 32
7.8%

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 (%)2.3%
Missing198
Missing (%)48.1%
Infinite0
Infinite (%)0.0%
Mean2.869158879
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.902738image/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 deviation1.267759194
Coefficient of variation (CV)0.4418574389
Kurtosis-1.008499862
Mean2.869158879
Median Absolute Deviation (MAD)1
Skewness0.09502257948
Sum614
Variance1.607213374
MonotonicityNot monotonic
2025-02-26T17:42:52.943728image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 57
 
13.8%
2 50
 
12.1%
4 44
 
10.7%
1 37
 
9.0%
5 26
 
6.3%
(Missing) 198
48.1%
ValueCountFrequency (%)
1 37
9.0%
2 50
12.1%
3 57
13.8%
4 44
10.7%
5 26
6.3%
ValueCountFrequency (%)
5 26
6.3%
4 44
10.7%
3 57
13.8%
2 50
12.1%
1 37
9.0%

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 (%)2.3%
Missing196
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean3.546296296
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:52.983083image/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 deviation1.393568344
Coefficient of variation (CV)0.3929644418
Kurtosis-1.112812067
Mean3.546296296
Median Absolute Deviation (MAD)1
Skewness-0.4813927499
Sum766
Variance1.94203273
MonotonicityNot monotonic
2025-02-26T17:42:53.023846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 77
 
18.7%
4 46
 
11.2%
2 36
 
8.7%
3 34
 
8.3%
1 23
 
5.6%
(Missing) 196
47.6%
ValueCountFrequency (%)
1 23
 
5.6%
2 36
8.7%
3 34
8.3%
4 46
11.2%
5 77
18.7%
ValueCountFrequency (%)
5 77
18.7%
4 46
11.2%
3 34
8.3%
2 36
8.7%
1 23
 
5.6%

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 (%)2.3%
Missing196
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean4.194444444
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:53.062759image/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 deviation1.336140456
Coefficient of variation (CV)0.3185500425
Kurtosis0.503165042
Mean4.194444444
Median Absolute Deviation (MAD)0
Skewness-1.412087073
Sum906
Variance1.785271318
MonotonicityNot monotonic
2025-02-26T17:42:53.104962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 146
35.4%
4 19
 
4.6%
1 18
 
4.4%
2 17
 
4.1%
3 16
 
3.9%
(Missing) 196
47.6%
ValueCountFrequency (%)
1 18
 
4.4%
2 17
 
4.1%
3 16
 
3.9%
4 19
 
4.6%
5 146
35.4%
ValueCountFrequency (%)
5 146
35.4%
4 19
 
4.6%
3 16
 
3.9%
2 17
 
4.1%
1 18
 
4.4%

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 (%)2.3%
Missing196
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean3.319444444
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:53.215633image/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 deviation1.409202864
Coefficient of variation (CV)0.4245297332
Kurtosis-1.251431687
Mean3.319444444
Median Absolute Deviation (MAD)1
Skewness-0.2301786923
Sum717
Variance1.985852713
MonotonicityNot monotonic
2025-02-26T17:42:53.326079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 64
 
15.5%
3 46
 
11.2%
2 39
 
9.5%
4 38
 
9.2%
1 29
 
7.0%
(Missing) 196
47.6%
ValueCountFrequency (%)
1 29
7.0%
2 39
9.5%
3 46
11.2%
4 38
9.2%
5 64
15.5%
ValueCountFrequency (%)
5 64
15.5%
4 38
9.2%
3 46
11.2%
2 39
9.5%
1 29
7.0%

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 (%)2.3%
Missing195
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean3.737327189
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:53.376136image/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 deviation1.340307541
Coefficient of variation (CV)0.3586272952
Kurtosis-0.9131871519
Mean3.737327189
Median Absolute Deviation (MAD)1
Skewness-0.6390550345
Sum811
Variance1.796424304
MonotonicityNot monotonic
2025-02-26T17:42:53.416670image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 92
22.3%
4 41
 
10.0%
3 35
 
8.5%
2 33
 
8.0%
1 16
 
3.9%
(Missing) 195
47.3%
ValueCountFrequency (%)
1 16
 
3.9%
2 33
 
8.0%
3 35
 
8.5%
4 41
10.0%
5 92
22.3%
ValueCountFrequency (%)
5 92
22.3%
4 41
10.0%
3 35
 
8.5%
2 33
 
8.0%
1 16
 
3.9%

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 (%)2.3%
Missing195
Missing (%)47.3%
Infinite0
Infinite (%)0.0%
Mean3.350230415
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:53.457623image/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 deviation1.426246188
Coefficient of variation (CV)0.4257158496
Kurtosis-1.221213316
Mean3.350230415
Median Absolute Deviation (MAD)1
Skewness-0.3075859222
Sum727
Variance2.034178187
MonotonicityNot monotonic
2025-02-26T17:42:53.498772image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 66
 
16.0%
3 45
 
10.9%
4 41
 
10.0%
2 33
 
8.0%
1 32
 
7.8%
(Missing) 195
47.3%
ValueCountFrequency (%)
1 32
7.8%
2 33
8.0%
3 45
10.9%
4 41
10.0%
5 66
16.0%
ValueCountFrequency (%)
5 66
16.0%
4 41
10.0%
3 45
10.9%
2 33
8.0%
1 32
7.8%

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 (%)2.8%
Missing197
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean3.288372093
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:53.539728image/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 deviation1.677393575
Coefficient of variation (CV)0.5100984706
Kurtosis-1.169956278
Mean3.288372093
Median Absolute Deviation (MAD)1
Skewness0.2437936487
Sum707
Variance2.813649207
MonotonicityNot monotonic
2025-02-26T17:42:53.577437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 49
 
11.9%
3 37
 
9.0%
1 36
 
8.7%
4 35
 
8.5%
6 32
 
7.8%
5 26
 
6.3%
(Missing) 197
47.8%
ValueCountFrequency (%)
1 36
8.7%
2 49
11.9%
3 37
9.0%
4 35
8.5%
5 26
6.3%
ValueCountFrequency (%)
6 32
7.8%
5 26
6.3%
4 35
8.5%
3 37
9.0%
2 49
11.9%

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 (%)2.8%
Missing197
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean4.03255814
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:53.614415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.69492383
Coefficient of variation (CV)0.420309831
Kurtosis-1.299376585
Mean4.03255814
Median Absolute Deviation (MAD)2
Skewness-0.2257630245
Sum867
Variance2.87276679
MonotonicityNot monotonic
2025-02-26T17:42:53.654479image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 67
 
16.3%
3 42
 
10.2%
2 33
 
8.0%
5 29
 
7.0%
4 28
 
6.8%
1 16
 
3.9%
(Missing) 197
47.8%
ValueCountFrequency (%)
1 16
 
3.9%
2 33
8.0%
3 42
10.2%
4 28
6.8%
5 29
7.0%
ValueCountFrequency (%)
6 67
16.3%
5 29
7.0%
4 28
6.8%
3 42
10.2%
2 33
8.0%

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 (%)3.3%
Missing201
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean3.132701422
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:53.689147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.313454841
Coefficient of variation (CV)0.4192722716
Kurtosis0.3017538563
Mean3.132701422
Median Absolute Deviation (MAD)1
Skewness0.9107770381
Sum661
Variance1.72516362
MonotonicityNot monotonic
2025-02-26T17:42:53.725220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 84
20.4%
3 48
 
11.7%
4 44
 
10.7%
5 16
 
3.9%
6 10
 
2.4%
1 5
 
1.2%
7 4
 
1.0%
(Missing) 201
48.8%
ValueCountFrequency (%)
1 5
 
1.2%
2 84
20.4%
3 48
11.7%
4 44
10.7%
5 16
 
3.9%
ValueCountFrequency (%)
7 4
 
1.0%
6 10
 
2.4%
5 16
 
3.9%
4 44
10.7%
3 48
11.7%

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 (%)0.9%
Missing199
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean1.201877934
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:53.762133image/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 deviation0.4023471749
Coefficient of variation (CV)0.3347654229
Kurtosis0.2400653523
Mean1.201877934
Median Absolute Deviation (MAD)0
Skewness1.49596113
Sum256
Variance0.1618832492
MonotonicityNot monotonic
2025-02-26T17:42:53.800239image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 170
41.3%
2 43
 
10.4%
(Missing) 199
48.3%
ValueCountFrequency (%)
1 170
41.3%
2 43
 
10.4%
ValueCountFrequency (%)
2 43
 
10.4%
1 170
41.3%

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 (%)0.9%
Missing199
Missing (%)48.3%
Infinite0
Infinite (%)0.0%
Mean1.450704225
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:53.837996image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4987361119
Coefficient of variation (CV)0.3437889703
Kurtosis-1.978847311
Mean1.450704225
Median Absolute Deviation (MAD)0
Skewness0.1995565671
Sum309
Variance0.2487377093
MonotonicityNot monotonic
2025-02-26T17:42:53.875680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 117
28.4%
2 96
23.3%
(Missing) 199
48.3%
ValueCountFrequency (%)
1 117
28.4%
2 96
23.3%
ValueCountFrequency (%)
2 96
23.3%
1 117
28.4%

w1_G08_1
Boolean

Which kind of books did you read? (tick all that apply): Literature & Novels

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
280 
True
132 
ValueCountFrequency (%)
False 280
68.0%
True 132
32.0%
2025-02-26T17:42:53.914273image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
342 
True
70 
ValueCountFrequency (%)
False 342
83.0%
True 70
 
17.0%
2025-02-26T17:42:53.950179image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_3
Boolean

Imbalance 

Which kind of books did you read? (tick all that apply): Mystery & Thrillers

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
368 
True
44 
ValueCountFrequency (%)
False 368
89.3%
True 44
 
10.7%
2025-02-26T17:42:53.986780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_4
Boolean

Imbalance 

Which kind of books did you read? (tick all that apply): History

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
374 
True
38 
ValueCountFrequency (%)
False 374
90.8%
True 38
 
9.2%
2025-02-26T17:42:54.023157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_5
Boolean

Imbalance 

Which kind of books did you read? (tick all that apply): Biographies

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
376 
True
 
36
ValueCountFrequency (%)
False 376
91.3%
True 36
 
8.7%
2025-02-26T17:42:54.058862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_6
Boolean

Which kind of books did you read? (tick all that apply): Health, Mind & Body

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
353 
True
59 
ValueCountFrequency (%)
False 353
85.7%
True 59
 
14.3%
2025-02-26T17:42:54.095484image/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 (%)0.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
False
327 
True
85 
ValueCountFrequency (%)
False 327
79.4%
True 85
 
20.6%
2025-02-26T17:42:54.132591image/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)? |__|__|

Distinct21
Distinct (%)12.4%
Missing242
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean7.952941176
Minimum0
Maximum72
Zeros4
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:54.169951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q310
95-th percentile20
Maximum72
Range72
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.892805206
Coefficient of variation (CV)1.243917814
Kurtosis15.72745806
Mean7.952941176
Median Absolute Deviation (MAD)3
Skewness3.532201911
Sum1352
Variance97.86759485
MonotonicityNot monotonic
2025-02-26T17:42:54.212884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 28
 
6.8%
5 22
 
5.3%
3 21
 
5.1%
4 18
 
4.4%
10 16
 
3.9%
6 12
 
2.9%
20 10
 
2.4%
1 7
 
1.7%
15 6
 
1.5%
7 5
 
1.2%
Other values (11) 25
 
6.1%
(Missing) 242
58.7%
ValueCountFrequency (%)
0 4
 
1.0%
1 7
 
1.7%
2 28
6.8%
3 21
5.1%
4 18
4.4%
ValueCountFrequency (%)
72 1
 
0.2%
50 3
0.7%
48 1
 
0.2%
25 2
0.5%
24 1
 
0.2%

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 (%)2.9%
Missing202
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean4.666666667
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:54.253972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.324532357
Coefficient of variation (CV)0.2838283622
Kurtosis-0.5208073883
Mean4.666666667
Median Absolute Deviation (MAD)1
Skewness-0.7765638269
Sum980
Variance1.754385965
MonotonicityNot monotonic
2025-02-26T17:42:54.293039image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 70
 
17.0%
5 68
 
16.5%
3 27
 
6.6%
4 25
 
6.1%
2 19
 
4.6%
1 1
 
0.2%
(Missing) 202
49.0%
ValueCountFrequency (%)
1 1
 
0.2%
2 19
 
4.6%
3 27
 
6.6%
4 25
 
6.1%
5 68
16.5%
ValueCountFrequency (%)
6 70
17.0%
5 68
16.5%
4 25
 
6.1%
3 27
 
6.6%
2 19
 
4.6%

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 (%)2.9%
Missing203
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean4.062200957
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:54.329989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.590523903
Coefficient of variation (CV)0.3915423978
Kurtosis-1.30140741
Mean4.062200957
Median Absolute Deviation (MAD)1
Skewness-0.2258856261
Sum849
Variance2.529766286
MonotonicityNot monotonic
2025-02-26T17:42:54.368956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 54
 
13.1%
5 45
 
10.9%
2 39
 
9.5%
3 38
 
9.2%
4 25
 
6.1%
1 8
 
1.9%
(Missing) 203
49.3%
ValueCountFrequency (%)
1 8
 
1.9%
2 39
9.5%
3 38
9.2%
4 25
6.1%
5 45
10.9%
ValueCountFrequency (%)
6 54
13.1%
5 45
10.9%
4 25
6.1%
3 38
9.2%
2 39
9.5%

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 (%)2.9%
Missing203
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean4.966507177
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:54.404973image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q36
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.287449682
Coefficient of variation (CV)0.2592263811
Kurtosis0.513142704
Mean4.966507177
Median Absolute Deviation (MAD)1
Skewness-1.220030282
Sum1038
Variance1.657526684
MonotonicityNot monotonic
2025-02-26T17:42:54.443348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 97
23.5%
5 60
 
14.6%
3 18
 
4.4%
4 18
 
4.4%
2 14
 
3.4%
1 2
 
0.5%
(Missing) 203
49.3%
ValueCountFrequency (%)
1 2
 
0.5%
2 14
 
3.4%
3 18
 
4.4%
4 18
 
4.4%
5 60
14.6%
ValueCountFrequency (%)
6 97
23.5%
5 60
14.6%
4 18
 
4.4%
3 18
 
4.4%
2 14
 
3.4%

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 (%)2.9%
Missing203
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean2.937799043
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:54.479265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.800362393
Coefficient of variation (CV)0.6128269385
Kurtosis-1.067091928
Mean2.937799043
Median Absolute Deviation (MAD)1
Skewness0.5929728745
Sum614
Variance3.241304748
MonotonicityNot monotonic
2025-02-26T17:42:54.517643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 56
 
13.6%
2 54
 
13.1%
3 34
 
8.3%
6 34
 
8.3%
5 20
 
4.9%
4 11
 
2.7%
(Missing) 203
49.3%
ValueCountFrequency (%)
1 56
13.6%
2 54
13.1%
3 34
8.3%
4 11
 
2.7%
5 20
 
4.9%
ValueCountFrequency (%)
6 34
8.3%
5 20
 
4.9%
4 11
 
2.7%
3 34
8.3%
2 54
13.1%

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 (%)2.4%
Missing202
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean1.738095238
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:54.553585image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8600524021
Coefficient of variation (CV)0.4948246697
Kurtosis2.332797082
Mean1.738095238
Median Absolute Deviation (MAD)1
Skewness1.399006442
Sum365
Variance0.7396901344
MonotonicityNot monotonic
2025-02-26T17:42:54.593639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 96
23.3%
2 86
20.9%
3 18
 
4.4%
4 7
 
1.7%
5 3
 
0.7%
(Missing) 202
49.0%
ValueCountFrequency (%)
1 96
23.3%
2 86
20.9%
3 18
 
4.4%
4 7
 
1.7%
5 3
 
0.7%
ValueCountFrequency (%)
5 3
 
0.7%
4 7
 
1.7%
3 18
 
4.4%
2 86
20.9%
1 96
23.3%

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 (%)2.4%
Missing204
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean4.009615385
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:54.634753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.247181885
Coefficient of variation (CV)0.3110477602
Kurtosis0.04425584112
Mean4.009615385
Median Absolute Deviation (MAD)0.5
Skewness-1.089464642
Sum834
Variance1.555462653
MonotonicityNot monotonic
2025-02-26T17:42:54.674940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 104
25.2%
4 47
 
11.4%
3 25
 
6.1%
2 19
 
4.6%
1 13
 
3.2%
(Missing) 204
49.5%
ValueCountFrequency (%)
1 13
 
3.2%
2 19
 
4.6%
3 25
 
6.1%
4 47
11.4%
5 104
25.2%
ValueCountFrequency (%)
5 104
25.2%
4 47
11.4%
3 25
 
6.1%
2 19
 
4.6%
1 13
 
3.2%

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 (%)4.8%
Missing204
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean4.846153846
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:54.716214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.240467648
Coefficient of variation (CV)0.462318721
Kurtosis-0.4220524096
Mean4.846153846
Median Absolute Deviation (MAD)1
Skewness0.1892457637
Sum1008
Variance5.019695281
MonotonicityNot monotonic
2025-02-26T17:42:54.753462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6 58
 
14.1%
5 34
 
8.3%
3 30
 
7.3%
2 21
 
5.1%
4 18
 
4.4%
1 15
 
3.6%
9 13
 
3.2%
7 8
 
1.9%
8 6
 
1.5%
10 5
 
1.2%
(Missing) 204
49.5%
ValueCountFrequency (%)
1 15
3.6%
2 21
5.1%
3 30
7.3%
4 18
4.4%
5 34
8.3%
ValueCountFrequency (%)
10 5
 
1.2%
9 13
 
3.2%
8 6
 
1.5%
7 8
 
1.9%
6 58
14.1%

w1_H01f_other
Text

Missing 

Which is/was the highest educational level of your father or guardian …? Answer: Other, please specify: _____

Distinct5
Distinct (%)100.0%
Missing407
Missing (%)98.8%
Memory size3.5 KiB
2025-02-26T17:42:54.816022image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length60
Median length19
Mean length23.4
Min length3

Characters and Unicode

Total characters117
Distinct characters29
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

Unique5 ?
Unique (%)100.0%

Sample

1st rowPhD
2nd rowNo formal education
3rd rowHe didn’t have the chance to go to school because of poverty
4th rowHe's a jeweler
5th rownot sure but mechanic
ValueCountFrequency (%)
to 2
 
8.7%
phd 1
 
4.3%
no 1
 
4.3%
formal 1
 
4.3%
education 1
 
4.3%
he 1
 
4.3%
didn’t 1
 
4.3%
have 1
 
4.3%
the 1
 
4.3%
chance 1
 
4.3%
Other values (12) 12
52.2%
2025-02-26T17:42:54.928446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
15.4%
e 14
12.0%
o 11
 
9.4%
t 8
 
6.8%
a 7
 
6.0%
c 7
 
6.0%
h 6
 
5.1%
n 5
 
4.3%
r 4
 
3.4%
u 4
 
3.4%
Other values (19) 33
28.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 117
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
18
15.4%
e 14
12.0%
o 11
 
9.4%
t 8
 
6.8%
a 7
 
6.0%
c 7
 
6.0%
h 6
 
5.1%
n 5
 
4.3%
r 4
 
3.4%
u 4
 
3.4%
Other values (19) 33
28.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 117
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
18
15.4%
e 14
12.0%
o 11
 
9.4%
t 8
 
6.8%
a 7
 
6.0%
c 7
 
6.0%
h 6
 
5.1%
n 5
 
4.3%
r 4
 
3.4%
u 4
 
3.4%
Other values (19) 33
28.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 117
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
18
15.4%
e 14
12.0%
o 11
 
9.4%
t 8
 
6.8%
a 7
 
6.0%
c 7
 
6.0%
h 6
 
5.1%
n 5
 
4.3%
r 4
 
3.4%
u 4
 
3.4%
Other values (19) 33
28.2%

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 (%)4.8%
Missing204
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean4.870192308
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:54.974368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.011434934
Coefficient of variation (CV)0.4130093448
Kurtosis0.07395544338
Mean4.870192308
Median Absolute Deviation (MAD)1
Skewness0.1831698179
Sum1013
Variance4.045870494
MonotonicityNot monotonic
2025-02-26T17:42:55.011077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 50
 
12.1%
6 50
 
12.1%
3 33
 
8.0%
4 23
 
5.6%
1 13
 
3.2%
2 10
 
2.4%
7 10
 
2.4%
9 9
 
2.2%
8 6
 
1.5%
10 4
 
1.0%
(Missing) 204
49.5%
ValueCountFrequency (%)
1 13
 
3.2%
2 10
 
2.4%
3 33
8.0%
4 23
5.6%
5 50
12.1%
ValueCountFrequency (%)
10 4
 
1.0%
9 9
 
2.2%
8 6
 
1.5%
7 10
 
2.4%
6 50
12.1%

w1_H01m_other
Text

Missing 

Which is/was the highest educational level of your mother or guardian …? Answer: Other, please specify: _____

Distinct4
Distinct (%)100.0%
Missing408
Missing (%)99.0%
Memory size3.5 KiB
2025-02-26T17:42:55.087778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length28
Median length20.5
Mean length19.5
Min length9

Characters and Unicode

Total characters78
Distinct characters21
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

Unique4 ?
Unique (%)100.0%

Sample

1st rowOftalmologist specialization
2nd rowshe did not go to school
3rd rowpedagogue
4th rowpædagogseminariet
ValueCountFrequency (%)
oftalmologist 1
10.0%
specialization 1
10.0%
she 1
10.0%
did 1
10.0%
not 1
10.0%
go 1
10.0%
to 1
10.0%
school 1
10.0%
pedagogue 1
10.0%
pædagogseminariet 1
10.0%
2025-02-26T17:42:55.220946image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 10
12.8%
i 7
 
9.0%
t 6
 
7.7%
a 6
 
7.7%
g 6
 
7.7%
6
 
7.7%
e 6
 
7.7%
s 5
 
6.4%
l 4
 
5.1%
d 4
 
5.1%
Other values (11) 18
23.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 10
12.8%
i 7
 
9.0%
t 6
 
7.7%
a 6
 
7.7%
g 6
 
7.7%
6
 
7.7%
e 6
 
7.7%
s 5
 
6.4%
l 4
 
5.1%
d 4
 
5.1%
Other values (11) 18
23.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 10
12.8%
i 7
 
9.0%
t 6
 
7.7%
a 6
 
7.7%
g 6
 
7.7%
6
 
7.7%
e 6
 
7.7%
s 5
 
6.4%
l 4
 
5.1%
d 4
 
5.1%
Other values (11) 18
23.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 10
12.8%
i 7
 
9.0%
t 6
 
7.7%
a 6
 
7.7%
g 6
 
7.7%
6
 
7.7%
e 6
 
7.7%
s 5
 
6.4%
l 4
 
5.1%
d 4
 
5.1%
Other values (11) 18
23.1%

w1_H01fLSE
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_H01mLSE
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 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 (%)4.3%
Missing202
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean1.957142857
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:55.264737image/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 deviation1.915205194
Coefficient of variation (CV)0.9785719971
Kurtosis4.09941737
Mean1.957142857
Median Absolute Deviation (MAD)0
Skewness2.273063529
Sum411
Variance3.668010936
MonotonicityNot monotonic
2025-02-26T17:42:55.305976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 139
33.7%
2 38
 
9.2%
7 8
 
1.9%
8 6
 
1.5%
5 5
 
1.2%
3 5
 
1.2%
4 4
 
1.0%
6 3
 
0.7%
9 2
 
0.5%
(Missing) 202
49.0%
ValueCountFrequency (%)
1 139
33.7%
2 38
 
9.2%
3 5
 
1.2%
4 4
 
1.0%
5 5
 
1.2%
ValueCountFrequency (%)
9 2
 
0.5%
8 6
1.5%
7 8
1.9%
6 3
 
0.7%
5 5
1.2%

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

Distinct18
Distinct (%)12.5%
Missing268
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean7.666666667
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:55.346906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median5.5
Q313
95-th percentile18
Maximum19
Range18
Interquartile range (IQR)11

Descriptive statistics

Standard deviation5.832151062
Coefficient of variation (CV)0.760715356
Kurtosis-1.157945155
Mean7.666666667
Median Absolute Deviation (MAD)3.5
Skewness0.5502809659
Sum1104
Variance34.01398601
MonotonicityNot monotonic
2025-02-26T17:42:55.387098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 30
 
7.3%
3 26
 
6.3%
14 12
 
2.9%
7 11
 
2.7%
13 10
 
2.4%
18 8
 
1.9%
5 7
 
1.7%
1 7
 
1.7%
15 6
 
1.5%
19 6
 
1.5%
Other values (8) 21
 
5.1%
(Missing) 268
65.0%
ValueCountFrequency (%)
1 7
 
1.7%
2 30
7.3%
3 26
6.3%
4 2
 
0.5%
5 7
 
1.7%
ValueCountFrequency (%)
19 6
1.5%
18 8
1.9%
17 1
 
0.2%
15 6
1.5%
14 12
2.9%

w1_H03af_other
Text

Missing 

More precisely he or guardian is/was an….? Answer: Other, please specify: _____

Distinct6
Distinct (%)100.0%
Missing406
Missing (%)98.5%
Memory size3.6 KiB
2025-02-26T17:42:55.468319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length167
Median length14
Mean length37
Min length8

Characters and Unicode

Total characters222
Distinct characters27
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

Unique6 ?
Unique (%)100.0%

Sample

1st rowIt manager
2nd rowi dont know where he fits in your categories. he managed serveral services for the mentally ill. including activity centers and at home help for them. and other things
3rd rowJournalist
4th rowemployee in a bank
5th rowPoliceman
ValueCountFrequency (%)
he 2
 
5.3%
in 2
 
5.3%
for 2
 
5.3%
and 2
 
5.3%
it 1
 
2.6%
manager 1
 
2.6%
i 1
 
2.6%
dont 1
 
2.6%
know 1
 
2.6%
where 1
 
2.6%
Other values (24) 24
63.2%
2025-02-26T17:42:55.602721image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
14.4%
e 27
12.2%
n 18
 
8.1%
a 15
 
6.8%
i 15
 
6.8%
t 14
 
6.3%
r 13
 
5.9%
o 11
 
5.0%
l 10
 
4.5%
h 9
 
4.1%
Other values (17) 58
26.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
32
14.4%
e 27
12.2%
n 18
 
8.1%
a 15
 
6.8%
i 15
 
6.8%
t 14
 
6.3%
r 13
 
5.9%
o 11
 
5.0%
l 10
 
4.5%
h 9
 
4.1%
Other values (17) 58
26.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
32
14.4%
e 27
12.2%
n 18
 
8.1%
a 15
 
6.8%
i 15
 
6.8%
t 14
 
6.3%
r 13
 
5.9%
o 11
 
5.0%
l 10
 
4.5%
h 9
 
4.1%
Other values (17) 58
26.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 222
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
32
14.4%
e 27
12.2%
n 18
 
8.1%
a 15
 
6.8%
i 15
 
6.8%
t 14
 
6.3%
r 13
 
5.9%
o 11
 
5.0%
l 10
 
4.5%
h 9
 
4.1%
Other values (17) 58
26.1%

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

Distinct10
Distinct (%)26.3%
Missing374
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean6.342105263
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:55.648447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median5
Q36
95-th percentile15.15
Maximum16
Range15
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation4.616517441
Coefficient of variation (CV)0.7279156132
Kurtosis-0.1951215205
Mean6.342105263
Median Absolute Deviation (MAD)1.5
Skewness1.002147375
Sum241
Variance21.31223329
MonotonicityNot monotonic
2025-02-26T17:42:55.686605image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
6 9
 
2.2%
5 7
 
1.7%
2 7
 
1.7%
14 4
 
1.0%
1 3
 
0.7%
4 3
 
0.7%
16 2
 
0.5%
7 1
 
0.2%
15 1
 
0.2%
13 1
 
0.2%
(Missing) 374
90.8%
ValueCountFrequency (%)
1 3
 
0.7%
2 7
1.7%
4 3
 
0.7%
5 7
1.7%
6 9
2.2%
ValueCountFrequency (%)
16 2
0.5%
15 1
 
0.2%
14 4
1.0%
13 1
 
0.2%
7 1
 
0.2%

w1_H03bf_other
Text

Missing 

w1_H04bf_other - More precisely he or guardian is/was an….? Other, please specify: _____

Distinct2
Distinct (%)100.0%
Missing410
Missing (%)99.5%
Memory size3.4 KiB
2025-02-26T17:42:55.747757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length30
Median length21
Mean length21
Min length12

Characters and Unicode

Total characters42
Distinct characters18
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowdentist and co-owner of clinic
2nd rowBusiness man
ValueCountFrequency (%)
dentist 1
14.3%
and 1
14.3%
co-owner 1
14.3%
of 1
14.3%
clinic 1
14.3%
business 1
14.3%
man 1
14.3%
2025-02-26T17:42:55.930856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 6
14.3%
5
11.9%
i 4
9.5%
s 4
9.5%
e 3
 
7.1%
c 3
 
7.1%
o 3
 
7.1%
d 2
 
4.8%
t 2
 
4.8%
a 2
 
4.8%
Other values (8) 8
19.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 6
14.3%
5
11.9%
i 4
9.5%
s 4
9.5%
e 3
 
7.1%
c 3
 
7.1%
o 3
 
7.1%
d 2
 
4.8%
t 2
 
4.8%
a 2
 
4.8%
Other values (8) 8
19.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 6
14.3%
5
11.9%
i 4
9.5%
s 4
9.5%
e 3
 
7.1%
c 3
 
7.1%
o 3
 
7.1%
d 2
 
4.8%
t 2
 
4.8%
a 2
 
4.8%
Other values (8) 8
19.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 42
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 6
14.3%
5
11.9%
i 4
9.5%
s 4
9.5%
e 3
 
7.1%
c 3
 
7.1%
o 3
 
7.1%
d 2
 
4.8%
t 2
 
4.8%
a 2
 
4.8%
Other values (8) 8
19.0%

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 (%)4.3%
Missing202
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean2.095238095
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:55.973593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile6
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.922039435
Coefficient of variation (CV)0.917337003
Kurtosis2.654242171
Mean2.095238095
Median Absolute Deviation (MAD)0
Skewness1.843177064
Sum440
Variance3.694235589
MonotonicityNot monotonic
2025-02-26T17:42:56.014699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 138
33.5%
4 25
 
6.1%
2 23
 
5.6%
6 12
 
2.9%
8 4
 
1.0%
9 3
 
0.7%
5 3
 
0.7%
3 1
 
0.2%
7 1
 
0.2%
(Missing) 202
49.0%
ValueCountFrequency (%)
1 138
33.5%
2 23
 
5.6%
3 1
 
0.2%
4 25
 
6.1%
5 3
 
0.7%
ValueCountFrequency (%)
9 3
 
0.7%
8 4
 
1.0%
7 1
 
0.2%
6 12
2.9%
5 3
 
0.7%

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

Distinct16
Distinct (%)11.5%
Missing273
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean7.841726619
Minimum2
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:56.056142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median7
Q39.5
95-th percentile19
Maximum19
Range17
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.060874348
Coefficient of variation (CV)0.6453775545
Kurtosis-0.00103485621
Mean7.841726619
Median Absolute Deviation (MAD)3
Skewness0.9859581966
Sum1090
Variance25.61244917
MonotonicityNot monotonic
2025-02-26T17:42:56.096818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
7 28
 
6.8%
3 22
 
5.3%
6 15
 
3.6%
2 14
 
3.4%
19 10
 
2.4%
5 9
 
2.2%
9 8
 
1.9%
11 6
 
1.5%
8 6
 
1.5%
15 5
 
1.2%
Other values (6) 16
 
3.9%
(Missing) 273
66.3%
ValueCountFrequency (%)
2 14
3.4%
3 22
5.3%
4 2
 
0.5%
5 9
2.2%
6 15
3.6%
ValueCountFrequency (%)
19 10
2.4%
18 4
 
1.0%
17 3
 
0.7%
15 5
1.2%
14 1
 
0.2%

w1_H03am_other
Text

Missing 

More precisely she or guardian is/was an….? Answer: Other, please specify: _____

Distinct10
Distinct (%)100.0%
Missing402
Missing (%)97.6%
Memory size3.6 KiB
2025-02-26T17:42:56.179189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length51
Median length14.5
Mean length20
Min length5

Characters and Unicode

Total characters200
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

Unique10 ?
Unique (%)100.0%

Sample

1st rowPsychologist in nursery home
2nd rowpædagog
3rd rowPedagogue
4th rowpharmacist
5th rowEmployed on a flex-contract at a municipal function
ValueCountFrequency (%)
pædagog 2
 
7.4%
a 2
 
7.4%
psychologist 1
 
3.7%
in 1
 
3.7%
nursery 1
 
3.7%
home 1
 
3.7%
pedagogue 1
 
3.7%
pharmacist 1
 
3.7%
employed 1
 
3.7%
on 1
 
3.7%
Other values (15) 15
55.6%
2025-02-26T17:42:56.311488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 18
 
9.0%
17
 
8.5%
c 15
 
7.5%
i 15
 
7.5%
n 14
 
7.0%
a 14
 
7.0%
e 13
 
6.5%
r 11
 
5.5%
s 10
 
5.0%
t 10
 
5.0%
Other values (18) 63
31.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 18
 
9.0%
17
 
8.5%
c 15
 
7.5%
i 15
 
7.5%
n 14
 
7.0%
a 14
 
7.0%
e 13
 
6.5%
r 11
 
5.5%
s 10
 
5.0%
t 10
 
5.0%
Other values (18) 63
31.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 18
 
9.0%
17
 
8.5%
c 15
 
7.5%
i 15
 
7.5%
n 14
 
7.0%
a 14
 
7.0%
e 13
 
6.5%
r 11
 
5.5%
s 10
 
5.0%
t 10
 
5.0%
Other values (18) 63
31.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 200
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 18
 
9.0%
17
 
8.5%
c 15
 
7.5%
i 15
 
7.5%
n 14
 
7.0%
a 14
 
7.0%
e 13
 
6.5%
r 11
 
5.5%
s 10
 
5.0%
t 10
 
5.0%
Other values (18) 63
31.5%

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

Distinct9
Distinct (%)39.1%
Missing389
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean7.47826087
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:56.356781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q314
95-th percentile16
Maximum16
Range15
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.375614681
Coefficient of variation (CV)0.7188321958
Kurtosis-1.204482976
Mean7.47826087
Median Absolute Deviation (MAD)2
Skewness0.7410585083
Sum172
Variance28.8972332
MonotonicityNot monotonic
2025-02-26T17:42:56.395826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 6
 
1.5%
16 4
 
1.0%
14 3
 
0.7%
5 3
 
0.7%
6 2
 
0.5%
2 2
 
0.5%
1 1
 
0.2%
3 1
 
0.2%
7 1
 
0.2%
(Missing) 389
94.4%
ValueCountFrequency (%)
1 1
 
0.2%
2 2
 
0.5%
3 1
 
0.2%
4 6
1.5%
5 3
0.7%
ValueCountFrequency (%)
16 4
1.0%
14 3
0.7%
7 1
 
0.2%
6 2
0.5%
5 3
0.7%

w1_H03bm_other
Text

Missing 

w1_H04bf_other - More precisely she or guardian is/was an….? Other, please specify: _____

Distinct3
Distinct (%)100.0%
Missing409
Missing (%)99.3%
Memory size3.5 KiB
2025-02-26T17:42:56.466747image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length58
Median length30
Mean length33.66666667
Min length13

Characters and Unicode

Total characters101
Distinct characters20
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

Unique3 ?
Unique (%)100.0%

Sample

1st rowdentist and co-owner of clinic
2nd rowpiano teacher
3rd rowprofessional knitter, knit for stores, private persons etc
ValueCountFrequency (%)
dentist 1
 
6.7%
and 1
 
6.7%
co-owner 1
 
6.7%
of 1
 
6.7%
clinic 1
 
6.7%
piano 1
 
6.7%
teacher 1
 
6.7%
professional 1
 
6.7%
knitter 1
 
6.7%
knit 1
 
6.7%
Other values (5) 5
33.3%
2025-02-26T17:42:56.581069image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
11.9%
e 10
9.9%
n 9
8.9%
t 9
8.9%
o 9
8.9%
i 8
7.9%
r 8
7.9%
s 7
 
6.9%
a 5
 
5.0%
c 5
 
5.0%
Other values (10) 19
18.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 101
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12
11.9%
e 10
9.9%
n 9
8.9%
t 9
8.9%
o 9
8.9%
i 8
7.9%
r 8
7.9%
s 7
 
6.9%
a 5
 
5.0%
c 5
 
5.0%
Other values (10) 19
18.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 101
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12
11.9%
e 10
9.9%
n 9
8.9%
t 9
8.9%
o 9
8.9%
i 8
7.9%
r 8
7.9%
s 7
 
6.9%
a 5
 
5.0%
c 5
 
5.0%
Other values (10) 19
18.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 101
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12
11.9%
e 10
9.9%
n 9
8.9%
t 9
8.9%
o 9
8.9%
i 8
7.9%
r 8
7.9%
s 7
 
6.9%
a 5
 
5.0%
c 5
 
5.0%
Other values (10) 19
18.8%

w1_I00
Real number (ℝ)

Missing 

Do you want to participate? 1. Yes, 2. No [go to I05]

Distinct2
Distinct (%)1.0%
Missing204
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean1.615384615
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:56.626174image/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 deviation0.4876779706
Coefficient of variation (CV)0.3018958866
Kurtosis-1.789008406
Mean1.615384615
Median Absolute Deviation (MAD)0
Skewness-0.4777942059
Sum336
Variance0.237829803
MonotonicityNot monotonic
2025-02-26T17:42:56.664441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 128
31.1%
1 80
 
19.4%
(Missing) 204
49.5%
ValueCountFrequency (%)
1 80
19.4%
2 128
31.1%
ValueCountFrequency (%)
2 128
31.1%
1 80
19.4%

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’

Distinct2
Distinct (%)2.5%
Missing332
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean1.575
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:56.701980image/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 deviation0.4974619125
Coefficient of variation (CV)0.3158488334
Kurtosis-1.953851775
Mean1.575
Median Absolute Deviation (MAD)0
Skewness-0.3092621766
Sum126
Variance0.2474683544
MonotonicityNot monotonic
2025-02-26T17:42:56.738601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 46
 
11.2%
1 34
 
8.3%
(Missing) 332
80.6%
ValueCountFrequency (%)
1 34
8.3%
2 46
11.2%
ValueCountFrequency (%)
2 46
11.2%
1 34
8.3%

w1_I03
Real number (ℝ)

Missing 

How many Mobile phones do you have? N. |__|

Distinct3
Distinct (%)7.0%
Missing369
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean1.069767442
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:56.773682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3377339639
Coefficient of variation (CV)0.3157078358
Kurtosis27.66283344
Mean1.069767442
Median Absolute Deviation (MAD)0
Skewness5.174406493
Sum46
Variance0.1140642303
MonotonicityNot monotonic
2025-02-26T17:42:56.813668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 41
 
10.0%
2 1
 
0.2%
3 1
 
0.2%
(Missing) 369
89.6%
ValueCountFrequency (%)
1 41
10.0%
2 1
 
0.2%
3 1
 
0.2%
ValueCountFrequency (%)
3 1
 
0.2%
2 1
 
0.2%
1 41
10.0%

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 (%)4.5%
Missing368
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean1.022727273
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:56.852848image/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 deviation0.1507556723
Coefficient of variation (CV)0.1474055462
Kurtosis44
Mean1.022727273
Median Absolute Deviation (MAD)0
Skewness6.633249581
Sum45
Variance0.02272727273
MonotonicityNot monotonic
2025-02-26T17:42:56.890075image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 43
 
10.4%
2 1
 
0.2%
(Missing) 368
89.3%
ValueCountFrequency (%)
1 43
10.4%
2 1
 
0.2%
ValueCountFrequency (%)
2 1
 
0.2%
1 43
10.4%

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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_GT_BF15
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 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: ____

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_N01_other
Unsupported

Missing  Rejected  Unsupported 

How did you make a decision to become a student? | Answer: Other, please specify: ____

Missing412
Missing (%)100.0%
Memory size3.4 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]

Missing412
Missing (%)100.0%
Memory size3.8 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

Missing412
Missing (%)100.0%
Memory size3.8 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

Missing412
Missing (%)100.0%
Memory size3.8 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.

Missing412
Missing (%)100.0%
Memory size3.4 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.

Missing412
Missing (%)100.0%
Memory size3.4 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.

Missing412
Missing (%)100.0%
Memory size3.4 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.

Missing412
Missing (%)100.0%
Memory size3.4 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.

Missing412
Missing (%)100.0%
Memory size3.4 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.

Missing412
Missing (%)100.0%
Memory size3.4 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.

Missing412
Missing (%)100.0%
Memory size3.4 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.

Missing412
Missing (%)100.0%
Memory size3.4 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: ____

Missing412
Missing (%)100.0%
Memory size3.8 KiB

w1_N06_other
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city. | Answer: Other, please specify: ____

Missing412
Missing (%)100.0%
Memory size3.4 KiB

w1_interviewtime
Real number (ℝ)

Zeros 

time of interview

Distinct317
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1078.053665
Minimum0
Maximum25083.8
Zeros96
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:56.935882image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.8625
median795.205
Q31350.16
95-th percentile3341.398
Maximum25083.8
Range25083.8
Interquartile range (IQR)1339.2975

Descriptive statistics

Standard deviation1946.660335
Coefficient of variation (CV)1.805717468
Kurtosis70.8080819
Mean1078.053665
Median Absolute Deviation (MAD)758.815
Skewness7.003035258
Sum444158.11
Variance3789486.46
MonotonicityNot monotonic
2025-02-26T17:42:56.989036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 96
 
23.3%
647.83 1
 
0.2%
1235.56 1
 
0.2%
5090.54 1
 
0.2%
1153.96 1
 
0.2%
1125.23 1
 
0.2%
812.7 1
 
0.2%
1220.78 1
 
0.2%
109.89 1
 
0.2%
1280.44 1
 
0.2%
Other values (307) 307
74.5%
ValueCountFrequency (%)
0.0 96
23.3%
6.82 1
 
0.2%
7.53 1
 
0.2%
8.24 1
 
0.2%
9.42 1
 
0.2%
ValueCountFrequency (%)
25083.8 1
0.2%
17358.2 1
0.2%
12837.3 1
0.2%
8403.79 1
0.2%
6446.38 1
0.2%

w1_GT_A0
Real number (ℝ)

Missing 

Distinct297
Distinct (%)94.0%
Missing96
Missing (%)23.3%
Infinite0
Infinite (%)0.0%
Mean34.87949367
Minimum4.49
Maximum1326.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:57.038321image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.49
5-th percentile7.95
Q113.3675
median19.62
Q330.9725
95-th percentile67.485
Maximum1326.1
Range1321.61
Interquartile range (IQR)17.605

Descriptive statistics

Standard deviation95.98608684
Coefficient of variation (CV)2.751934639
Kurtosis129.2534466
Mean34.87949367
Median Absolute Deviation (MAD)7.45
Skewness10.76016466
Sum11021.92
Variance9213.328866
MonotonicityNot monotonic
2025-02-26T17:42:57.091314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.88 3
 
0.7%
10.55 2
 
0.5%
19.04 2
 
0.5%
40.8 2
 
0.5%
15.08 2
 
0.5%
16.53 2
 
0.5%
20.93 2
 
0.5%
12.5 2
 
0.5%
67.21 2
 
0.5%
18.82 2
 
0.5%
Other values (287) 295
71.6%
(Missing) 96
 
23.3%
ValueCountFrequency (%)
4.49 1
0.2%
5.2 1
0.2%
5.5 1
0.2%
6.03 1
0.2%
6.07 1
0.2%
ValueCountFrequency (%)
1326.1 1
0.2%
935.57 1
0.2%
398.98 1
0.2%
379.52 1
0.2%
157.09 1
0.2%

w1_GT_A1
Real number (ℝ)

Missing 

Distinct271
Distinct (%)98.2%
Missing136
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean160.219058
Minimum18.28
Maximum5822.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:57.141202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum18.28
5-th percentile50.565
Q176.02
median96.415
Q3141.94
95-th percentile339.065
Maximum5822.61
Range5804.33
Interquartile range (IQR)65.92

Descriptive statistics

Standard deviation377.2998447
Coefficient of variation (CV)2.354899907
Kurtosis186.6250532
Mean160.219058
Median Absolute Deviation (MAD)28.3
Skewness12.75591243
Sum44220.46
Variance142355.1728
MonotonicityNot monotonic
2025-02-26T17:42:57.192598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
114.56 2
 
0.5%
78.47 2
 
0.5%
94.36 2
 
0.5%
53.24 2
 
0.5%
78.34 2
 
0.5%
185.11 1
 
0.2%
107.1 1
 
0.2%
45.99 1
 
0.2%
91.47 1
 
0.2%
5822.61 1
 
0.2%
Other values (261) 261
63.3%
(Missing) 136
33.0%
ValueCountFrequency (%)
18.28 1
0.2%
30.69 1
0.2%
30.83 1
0.2%
42.55 1
0.2%
43.46 1
0.2%
ValueCountFrequency (%)
5822.61 1
0.2%
1446.6 1
0.2%
1287.09 1
0.2%
1196.47 1
0.2%
982.82 1
0.2%

w1_GT_B
Real number (ℝ)

Missing 

Distinct242
Distinct (%)99.6%
Missing169
Missing (%)41.0%
Infinite0
Infinite (%)0.0%
Mean545.4527984
Minimum12.96
Maximum24408.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:57.243764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum12.96
5-th percentile125.939
Q1202.83
median271.01
Q3398.24
95-th percentile1227.011
Maximum24408.5
Range24395.54
Interquartile range (IQR)195.41

Descriptive statistics

Standard deviation1767.031112
Coefficient of variation (CV)3.239567415
Kurtosis144.7174339
Mean545.4527984
Median Absolute Deviation (MAD)86.96
Skewness11.3906087
Sum132545.03
Variance3122398.95
MonotonicityNot monotonic
2025-02-26T17:42:57.295203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362.05 2
 
0.5%
154.79 1
 
0.2%
234.52 1
 
0.2%
417.75 1
 
0.2%
221.2 1
 
0.2%
2162.33 1
 
0.2%
736.67 1
 
0.2%
409.73 1
 
0.2%
148.57 1
 
0.2%
256.22 1
 
0.2%
Other values (232) 232
56.3%
(Missing) 169
41.0%
ValueCountFrequency (%)
12.96 1
0.2%
13.54 1
0.2%
16.63 1
0.2%
44.14 1
0.2%
45.48 1
0.2%
ValueCountFrequency (%)
24408.5 1
0.2%
11689.5 1
0.2%
4405.91 1
0.2%
3698.23 1
0.2%
3026.81 1
0.2%

w1_GT_C
Real number (ℝ)

Missing 

Distinct245
Distinct (%)98.4%
Missing163
Missing (%)39.6%
Infinite0
Infinite (%)0.0%
Mean145.5458233
Minimum3.34
Maximum3378.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:57.344348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.34
5-th percentile22.526
Q168.16
median92.86
Q3121.69
95-th percentile288.162
Maximum3378.35
Range3375.01
Interquartile range (IQR)53.53

Descriptive statistics

Standard deviation323.6542604
Coefficient of variation (CV)2.223727573
Kurtosis72.50653696
Mean145.5458233
Median Absolute Deviation (MAD)25.48
Skewness8.188403286
Sum36240.91
Variance104752.0803
MonotonicityNot monotonic
2025-02-26T17:42:57.397274image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.88 2
 
0.5%
74.51 2
 
0.5%
98.42 2
 
0.5%
61.64 2
 
0.5%
3378.35 1
 
0.2%
185.79 1
 
0.2%
223.41 1
 
0.2%
67.94 1
 
0.2%
75.79 1
 
0.2%
71.06 1
 
0.2%
Other values (235) 235
57.0%
(Missing) 163
39.6%
ValueCountFrequency (%)
3.34 1
0.2%
4.58 1
0.2%
5.51 1
0.2%
6.23 1
0.2%
6.67 1
0.2%
ValueCountFrequency (%)
3378.35 1
0.2%
3098.77 1
0.2%
2052.53 1
0.2%
1346.97 1
0.2%
538.72 1
0.2%

w1_GT_D
Real number (ℝ)

Missing 

Distinct228
Distinct (%)97.9%
Missing179
Missing (%)43.4%
Infinite0
Infinite (%)0.0%
Mean67.68429185
Minimum8.59
Maximum5357.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:57.450059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum8.59
5-th percentile13.97
Q122.11
median31.44
Q347.97
95-th percentile103.364
Maximum5357.18
Range5348.59
Interquartile range (IQR)25.86

Descriptive statistics

Standard deviation356.5734736
Coefficient of variation (CV)5.268186516
Kurtosis211.5079442
Mean67.68429185
Median Absolute Deviation (MAD)11.12
Skewness14.30797229
Sum15770.44
Variance127144.6421
MonotonicityNot monotonic
2025-02-26T17:42:57.501900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.27 2
 
0.5%
24.45 2
 
0.5%
15.56 2
 
0.5%
40.65 2
 
0.5%
15.86 2
 
0.5%
102.67 1
 
0.2%
77.13 1
 
0.2%
13.88 1
 
0.2%
53.95 1
 
0.2%
82.58 1
 
0.2%
Other values (218) 218
52.9%
(Missing) 179
43.4%
ValueCountFrequency (%)
8.59 1
0.2%
10.87 1
0.2%
12.07 1
0.2%
12.19 1
0.2%
12.6 1
0.2%
ValueCountFrequency (%)
5357.18 1
0.2%
1134.12 1
0.2%
216.44 1
0.2%
178.02 1
0.2%
157.35 1
0.2%

w1_GT_E
Real number (ℝ)

Missing 

Distinct226
Distinct (%)99.6%
Missing185
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean182.9635683
Minimum14.05
Maximum705.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:57.550722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum14.05
5-th percentile90.791
Q1127.69
median159.33
Q3199.02
95-th percentile384.505
Maximum705.95
Range691.9
Interquartile range (IQR)71.33

Descriptive statistics

Standard deviation102.6862032
Coefficient of variation (CV)0.5612385249
Kurtosis9.421054455
Mean182.9635683
Median Absolute Deviation (MAD)34.42
Skewness2.71628565
Sum41532.73
Variance10544.45632
MonotonicityNot monotonic
2025-02-26T17:42:57.677321image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.57 2
 
0.5%
128.25 1
 
0.2%
153.29 1
 
0.2%
188.26 1
 
0.2%
211.37 1
 
0.2%
338.25 1
 
0.2%
223.08 1
 
0.2%
295.81 1
 
0.2%
166.25 1
 
0.2%
187.07 1
 
0.2%
Other values (216) 216
52.4%
(Missing) 185
44.9%
ValueCountFrequency (%)
14.05 1
0.2%
40.18 1
0.2%
65.68 1
0.2%
65.82 1
0.2%
69.34 1
0.2%
ValueCountFrequency (%)
705.95 1
0.2%
701.56 1
0.2%
689.06 1
0.2%
599.67 1
0.2%
552.41 1
0.2%

w1_GT_F
Real number (ℝ)

Missing 

Distinct222
Distinct (%)98.2%
Missing186
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean36.57792035
Minimum6.25
Maximum447.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:57.730195image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.25
5-th percentile8.17
Q113.1025
median19.78
Q341.0475
95-th percentile103.2775
Maximum447.93
Range441.68
Interquartile range (IQR)27.945

Descriptive statistics

Standard deviation46.6127902
Coefficient of variation (CV)1.274342274
Kurtosis31.45733948
Mean36.57792035
Median Absolute Deviation (MAD)9.18
Skewness4.628538168
Sum8266.61
Variance2172.75221
MonotonicityNot monotonic
2025-02-26T17:42:57.779914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.43 2
 
0.5%
13.07 2
 
0.5%
12.43 2
 
0.5%
8.15 2
 
0.5%
15.77 1
 
0.2%
23.8 1
 
0.2%
24.34 1
 
0.2%
36.92 1
 
0.2%
41.48 1
 
0.2%
33.79 1
 
0.2%
Other values (212) 212
51.5%
(Missing) 186
45.1%
ValueCountFrequency (%)
6.25 1
0.2%
6.59 1
0.2%
6.7 1
0.2%
6.83 1
0.2%
7.44 1
0.2%
ValueCountFrequency (%)
447.93 1
0.2%
299.91 1
0.2%
199.68 1
0.2%
169.55 1
0.2%
167.41 1
0.2%

w1_GT_G1
Real number (ℝ)

Missing 

Distinct219
Distinct (%)99.1%
Missing191
Missing (%)46.4%
Infinite0
Infinite (%)0.0%
Mean141.2931222
Minimum4.86
Maximum8471.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:57.828952image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.86
5-th percentile44.26
Q166.41
median83.67
Q3105.97
95-th percentile212.92
Maximum8471.22
Range8466.36
Interquartile range (IQR)39.56

Descriptive statistics

Standard deviation575.0343287
Coefficient of variation (CV)4.069797028
Kurtosis202.8525003
Mean141.2931222
Median Absolute Deviation (MAD)18.34
Skewness14.02144308
Sum31225.78
Variance330664.4792
MonotonicityNot monotonic
2025-02-26T17:42:57.877691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.6 2
 
0.5%
79.9 2
 
0.5%
80.79 1
 
0.2%
82.22 1
 
0.2%
137.12 1
 
0.2%
79.93 1
 
0.2%
73.37 1
 
0.2%
181.38 1
 
0.2%
103.61 1
 
0.2%
65.37 1
 
0.2%
Other values (209) 209
50.7%
(Missing) 191
46.4%
ValueCountFrequency (%)
4.86 1
0.2%
7.77 1
0.2%
8.96 1
0.2%
32.24 1
0.2%
33.59 1
0.2%
ValueCountFrequency (%)
8471.22 1
0.2%
1618.66 1
0.2%
443.19 1
0.2%
431.07 1
0.2%
349.92 1
0.2%

w1_GT_G2
Real number (ℝ)

Missing 

Distinct221
Distinct (%)99.1%
Missing189
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean184.6244395
Minimum3.46
Maximum7559.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:57.925803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.46
5-th percentile36.072
Q176.915
median101.83
Q3141.48
95-th percentile311.215
Maximum7559.69
Range7556.23
Interquartile range (IQR)64.565

Descriptive statistics

Standard deviation598.2605713
Coefficient of variation (CV)3.240419162
Kurtosis119.2626563
Mean184.6244395
Median Absolute Deviation (MAD)30.88
Skewness10.54950051
Sum41171.25
Variance357915.7112
MonotonicityNot monotonic
2025-02-26T17:42:57.979295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89.17 2
 
0.5%
113.78 2
 
0.5%
150.77 1
 
0.2%
58.84 1
 
0.2%
87.82 1
 
0.2%
184.47 1
 
0.2%
101.39 1
 
0.2%
93.41 1
 
0.2%
234.78 1
 
0.2%
191.32 1
 
0.2%
Other values (211) 211
51.2%
(Missing) 189
45.9%
ValueCountFrequency (%)
3.46 1
0.2%
3.74 1
0.2%
4.39 1
0.2%
5.97 1
0.2%
7.65 1
0.2%
ValueCountFrequency (%)
7559.69 1
0.2%
4722.73 1
0.2%
1430.63 1
0.2%
959.35 1
0.2%
678.41 1
0.2%

w1_GT_G3
Real number (ℝ)

Missing 

Distinct218
Distinct (%)99.1%
Missing192
Missing (%)46.6%
Infinite0
Infinite (%)0.0%
Mean139.9621818
Minimum2.44
Maximum5113.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:58.032831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.44
5-th percentile38.424
Q171.3325
median97.935
Q3134.3775
95-th percentile254.8525
Maximum5113.55
Range5111.11
Interquartile range (IQR)63.045

Descriptive statistics

Standard deviation350.2923632
Coefficient of variation (CV)2.50276438
Kurtosis187.9649636
Mean139.9621818
Median Absolute Deviation (MAD)28.145
Skewness13.29363502
Sum30791.68
Variance122704.7397
MonotonicityNot monotonic
2025-02-26T17:42:58.085305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.65 2
 
0.5%
4.04 2
 
0.5%
78.34 1
 
0.2%
98.36 1
 
0.2%
140.98 1
 
0.2%
222.23 1
 
0.2%
132.62 1
 
0.2%
192.14 1
 
0.2%
171.29 1
 
0.2%
184.18 1
 
0.2%
Other values (208) 208
50.5%
(Missing) 192
46.6%
ValueCountFrequency (%)
2.44 1
0.2%
4.04 2
0.5%
12.12 1
0.2%
13.23 1
0.2%
16.42 1
0.2%
ValueCountFrequency (%)
5113.55 1
0.2%
1100.93 1
0.2%
539.21 1
0.2%
391.51 1
0.2%
389.29 1
0.2%

w1_GT_H1
Real number (ℝ)

Missing 

Distinct209
Distinct (%)99.1%
Missing201
Missing (%)48.8%
Infinite0
Infinite (%)0.0%
Mean43.82843602
Minimum4.7
Maximum461.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:58.136846image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.7
5-th percentile14.095
Q122.065
median29.81
Q344.945
95-th percentile101.52
Maximum461.84
Range457.14
Interquartile range (IQR)22.88

Descriptive statistics

Standard deviation52.69230135
Coefficient of variation (CV)1.202240056
Kurtosis26.78276702
Mean43.82843602
Median Absolute Deviation (MAD)9.69
Skewness4.723233736
Sum9247.8
Variance2776.478622
MonotonicityNot monotonic
2025-02-26T17:42:58.187916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.87 2
 
0.5%
46.26 2
 
0.5%
47.67 1
 
0.2%
21.75 1
 
0.2%
22.47 1
 
0.2%
60.86 1
 
0.2%
31.4 1
 
0.2%
45.73 1
 
0.2%
259.73 1
 
0.2%
108.0 1
 
0.2%
Other values (199) 199
48.3%
(Missing) 201
48.8%
ValueCountFrequency (%)
4.7 1
0.2%
9.37 1
0.2%
9.56 1
0.2%
9.89 1
0.2%
12.52 1
0.2%
ValueCountFrequency (%)
461.84 1
0.2%
305.29 1
0.2%
288.94 1
0.2%
273.1 1
0.2%
259.73 1
0.2%

w1_GT_H2
Real number (ℝ)

Missing 

Distinct209
Distinct (%)99.5%
Missing202
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean74.87252381
Minimum9.56
Maximum706.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:58.236117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum9.56
5-th percentile17.6205
Q144.1875
median63.135
Q387.75
95-th percentile160.7865
Maximum706.92
Range697.36
Interquartile range (IQR)43.5625

Descriptive statistics

Standard deviation65.6784571
Coefficient of variation (CV)0.8772037292
Kurtosis42.35855321
Mean74.87252381
Median Absolute Deviation (MAD)21.21
Skewness5.177359499
Sum15723.23
Variance4313.659727
MonotonicityNot monotonic
2025-02-26T17:42:58.291094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52.3 2
 
0.5%
65.39 1
 
0.2%
117.36 1
 
0.2%
174.57 1
 
0.2%
161.43 1
 
0.2%
106.87 1
 
0.2%
259.95 1
 
0.2%
53.56 1
 
0.2%
25.85 1
 
0.2%
50.25 1
 
0.2%
Other values (199) 199
48.3%
(Missing) 202
49.0%
ValueCountFrequency (%)
9.56 1
0.2%
9.68 1
0.2%
10.08 1
0.2%
10.61 1
0.2%
10.74 1
0.2%
ValueCountFrequency (%)
706.92 1
0.2%
341.01 1
0.2%
305.08 1
0.2%
259.95 1
0.2%
246.91 1
0.2%

w1_GT_I1
Real number (ℝ)

Missing 

Distinct208
Distinct (%)99.5%
Missing203
Missing (%)49.3%
Infinite0
Infinite (%)0.0%
Mean120.785933
Minimum5.89
Maximum4317.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:58.345894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.89
5-th percentile9.448
Q131.72
median61.64
Q3104.99
95-th percentile209.348
Maximum4317.99
Range4312.1
Interquartile range (IQR)73.27

Descriptive statistics

Standard deviation358.8904197
Coefficient of variation (CV)2.971293186
Kurtosis98.67589425
Mean120.785933
Median Absolute Deviation (MAD)35.65
Skewness9.326567643
Sum25244.26
Variance128802.3334
MonotonicityNot monotonic
2025-02-26T17:42:58.399280image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.94 2
 
0.5%
97.54 1
 
0.2%
33.19 1
 
0.2%
72.01 1
 
0.2%
55.26 1
 
0.2%
64.11 1
 
0.2%
21.11 1
 
0.2%
34.24 1
 
0.2%
7.41 1
 
0.2%
131.22 1
 
0.2%
Other values (198) 198
48.1%
(Missing) 203
49.3%
ValueCountFrequency (%)
5.89 1
0.2%
5.91 1
0.2%
6.09 1
0.2%
6.91 1
0.2%
7.1 1
0.2%
ValueCountFrequency (%)
4317.99 1
0.2%
2404.81 1
0.2%
1407.57 1
0.2%
1012.2 1
0.2%
590.68 1
0.2%

w1_GT_I2
Real number (ℝ)

Missing 

Distinct161
Distinct (%)94.2%
Missing241
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean6.760701754
Minimum1.38
Maximum49.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2025-02-26T17:42:58.449621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.38
5-th percentile2.205
Q14.305
median5.8
Q37.69
95-th percentile14.43
Maximum49.78
Range48.4
Interquartile range (IQR)3.385

Descriptive statistics

Standard deviation4.94186647
Coefficient of variation (CV)0.730969454
Kurtosis34.7484953
Mean6.760701754
Median Absolute Deviation (MAD)1.59
Skewness4.719575297
Sum1156.08
Variance24.42204421
MonotonicityNot monotonic
2025-02-26T17:42:58.502005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.03 2
 
0.5%
5.08 2
 
0.5%
7.69 2
 
0.5%
4.0 2
 
0.5%
6.92 2
 
0.5%
5.33 2
 
0.5%
6.66 2
 
0.5%
7.73 2
 
0.5%
5.27 2
 
0.5%
6.89 2
 
0.5%
Other values (151) 151
36.7%
(Missing) 241
58.5%
ValueCountFrequency (%)
1.38 1
0.2%
1.69 1
0.2%
1.75 1
0.2%
1.92 1
0.2%
1.96 1
0.2%
ValueCountFrequency (%)
49.78 1
0.2%
24.24 1
0.2%
23.77 1
0.2%
19.92 1
0.2%
19.11 1
0.2%

w1_GT_N
Unsupported

Missing  Rejected  Unsupported 

Missing412
Missing (%)100.0%
Memory size3.8 KiB