Overview

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Dataset statistics

Number of variables350
Number of observations4183
Missing cells1126863
Missing cells (%)77.0%
Total size in memory11.8 MiB
Average record size in memory2.9 KiB

Variable types

Text13
Unsupported101
Numeric206
DateTime3
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

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w1_G03_9 has 2780 (66.5%) missing values Missing
w1_G03_10 has 2784 (66.6%) missing values Missing
w1_G04_1 has 2778 (66.4%) missing values Missing
w1_G04_2 has 2780 (66.5%) missing values Missing
w1_G04_3 has 2792 (66.7%) missing values Missing
w1_G04_4 has 2795 (66.8%) missing values Missing
w1_G04_5 has 2791 (66.7%) missing values Missing
w1_G04_6 has 2796 (66.8%) missing values Missing
w1_G04_7 has 2796 (66.8%) missing values Missing
w1_G04_8 has 2786 (66.6%) missing values Missing
w1_G04_9 has 2786 (66.6%) missing values Missing
w1_G04_10 has 2788 (66.7%) missing values Missing
w1_G05_1 has 2804 (67.0%) missing values Missing
w1_G05_2 has 2809 (67.2%) missing values Missing
w1_G06 has 2943 (70.4%) missing values Missing
w1_G07_1 has 2704 (64.6%) missing values Missing
w1_G07_2 has 2704 (64.6%) missing values Missing
w1_G08_1 has 2955 (70.6%) missing values Missing
w1_G08_2 has 2955 (70.6%) missing values Missing
w1_G08_3 has 2955 (70.6%) missing values Missing
w1_G08_4 has 2955 (70.6%) missing values Missing
w1_G08_5 has 2955 (70.6%) missing values Missing
w1_G08_6 has 2955 (70.6%) missing values Missing
w1_G08_7 has 2955 (70.6%) missing values Missing
w1_G09 has 3324 (79.5%) missing values Missing
w1_G10_1 has 2839 (67.9%) missing values Missing
w1_G10_2 has 2845 (68.0%) missing values Missing
w1_G10_3 has 2842 (67.9%) missing values Missing
w1_G10_4 has 2840 (67.9%) missing values Missing
w1_G11_1 has 2820 (67.4%) missing values Missing
w1_G11_2 has 2823 (67.5%) missing values Missing
w1_H01f has 2788 (66.7%) missing values Missing
w1_H01f_other has 4120 (98.5%) missing values Missing
w1_H01m has 2795 (66.8%) missing values Missing
w1_H01m_other has 4141 (99.0%) missing values Missing
w1_H01fLSE has 4183 (100.0%) missing values Missing
w1_H01mLSE has 4183 (100.0%) missing values Missing
w1_H02f has 2717 (65.0%) missing values Missing
w1_H03af has 3363 (80.4%) missing values Missing
w1_H03af_other has 4138 (98.9%) missing values Missing
w1_H03bf has 3781 (90.4%) missing values Missing
w1_H03bf_other has 4141 (99.0%) missing values Missing
w1_H02m has 2717 (65.0%) missing values Missing
w1_H03am has 3708 (88.6%) missing values Missing
w1_H03am_other has 4160 (99.5%) missing values Missing
w1_H03bm has 4110 (98.3%) missing values Missing
w1_H03bm_other has 4172 (99.7%) missing values Missing
w1_I00 has 2739 (65.5%) missing values Missing
w1_I01 has 3513 (84.0%) missing values Missing
w1_I03 has 3620 (86.5%) missing values Missing
w1_I04 has 3589 (85.8%) missing values Missing
w1_BFI15_1 has 4183 (100.0%) missing values Missing
w1_BFI15_2 has 4183 (100.0%) missing values Missing
w1_BFI15_3 has 4183 (100.0%) missing values Missing
w1_BFI15_4 has 4183 (100.0%) missing values Missing
w1_BFI15_5 has 4183 (100.0%) missing values Missing
w1_BFI15_6 has 4183 (100.0%) missing values Missing
w1_BFI15_7 has 4183 (100.0%) missing values Missing
w1_BFI15_8 has 4183 (100.0%) missing values Missing
w1_BFI15_9 has 4183 (100.0%) missing values Missing
w1_BFI15_10 has 4183 (100.0%) missing values Missing
w1_BFI15_11 has 4183 (100.0%) missing values Missing
w1_BFI15_12 has 4183 (100.0%) missing values Missing
w1_BFI15_13 has 4183 (100.0%) missing values Missing
w1_BFI15_14 has 4183 (100.0%) missing values Missing
w1_BFI15_15 has 4183 (100.0%) missing values Missing
w1_GT_BF15 has 4183 (100.0%) missing values Missing
w1_N01 has 4183 (100.0%) missing values Missing
w1_N01_other has 4183 (100.0%) missing values Missing
w1_N02 has 4183 (100.0%) missing values Missing
w1_N03 has 4183 (100.0%) missing values Missing
w1_N04 has 4183 (100.0%) missing values Missing
w1_N05_1 has 4183 (100.0%) missing values Missing
w1_N05_2 has 4183 (100.0%) missing values Missing
w1_N05_3 has 4183 (100.0%) missing values Missing
w1_N05_4 has 4183 (100.0%) missing values Missing
w1_N05_5 has 4183 (100.0%) missing values Missing
w1_N05_6 has 4183 (100.0%) missing values Missing
w1_N05_7 has 4183 (100.0%) missing values Missing
w1_N05_8 has 4183 (100.0%) missing values Missing
w1_N06 has 4183 (100.0%) missing values Missing
w1_N06_other has 4183 (100.0%) missing values Missing
w1_GT_A0 has 1321 (31.6%) missing values Missing
w1_GT_A1 has 1848 (44.2%) missing values Missing
w1_GT_B has 2330 (55.7%) missing values Missing
w1_GT_C has 2520 (60.2%) missing values Missing
w1_GT_D has 2550 (61.0%) missing values Missing
w1_GT_E has 2597 (62.1%) missing values Missing
w1_GT_F has 2616 (62.5%) missing values Missing
w1_GT_G1 has 2634 (63.0%) missing values Missing
w1_GT_G2 has 2651 (63.4%) missing values Missing
w1_GT_G3 has 2688 (64.3%) missing values Missing
w1_GT_H1 has 2706 (64.7%) missing values Missing
w1_GT_H2 has 2711 (64.8%) missing values Missing
w1_GT_I1 has 2732 (65.3%) missing values Missing
w1_GT_I2 has 3188 (76.2%) missing values Missing
w1_GT_N has 4183 (100.0%) missing values Missing
w1_D01 is highly skewed (γ1 = 36.30426972) Skewed
w1_D03 is highly skewed (γ1 = 20.82877965) Skewed
w1_G09 is highly skewed (γ1 = 28.88047441) Skewed
w1_I03 is highly skewed (γ1 = 23.72762104) Skewed
w1_GT_A0 is highly skewed (γ1 = 35.802166) Skewed
w1_GT_A1 is highly skewed (γ1 = 25.08832055) Skewed
w1_GT_G1 is highly skewed (γ1 = 22.3123213) Skewed
w1_GT_G3 is highly skewed (γ1 = 22.94745981) Skewed
w1_GT_H2 is highly skewed (γ1 = 31.99466355) Skewed
token has unique values Unique
w1_fillinquest is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A03JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AMRITA_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04JLU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A04UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_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_A05 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_A07 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A09 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_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_A10AAU is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10LSE is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10UC is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A10IPICYT is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11NUM is an unsupported type, check if it needs cleaning or further analysis Unsupported
w1_A11 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_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_lastpage has 114 (2.7%) zeros Zeros
w1_C01_1 has 238 (5.7%) zeros Zeros
w1_C01_2 has 441 (10.5%) zeros Zeros
w1_C01_3 has 512 (12.2%) zeros Zeros
w1_C01_4 has 476 (11.4%) zeros Zeros
w1_D01 has 51 (1.2%) zeros Zeros
w1_interviewtime has 1321 (31.6%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:41:46.412429
Analysis finished2025-02-26 16:41:47.494809
Duration1.08 second
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct4183
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size94.1 KiB
2025-02-26T17:41:47.753186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters62745
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

Unique4183 ?
Unique (%)100.0%

Sample

1st rowCam6u7OVbA1BIMh
2nd rowiDrEMwSQnEZUc9i
3rd row9MARAJYtwkbiSmn
4th rowIdfKCTVnUuFGD52
5th rowpTtiWJQVzxnM9nV
ValueCountFrequency (%)
cam6u7ovba1bimh 1
 
< 0.1%
idremwsqnezuc9i 1
 
< 0.1%
9marajytwkbismn 1
 
< 0.1%
idfkctvnuufgd52 1
 
< 0.1%
pttiwjqvzxnm9nv 1
 
< 0.1%
pxnu6tbhpjeuuuv 1
 
< 0.1%
pbpe2dzyhbv6utg 1
 
< 0.1%
zj9iiwn4ttpju6f 1
 
< 0.1%
e7vmcblfjkerk9y 1
 
< 0.1%
tpmzwg4dfpipbic 1
 
< 0.1%
Other values (4173) 4173
99.8%
2025-02-26T17:41:48.003319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 1968
 
3.1%
a 1939
 
3.1%
T 1072
 
1.7%
d 1055
 
1.7%
v 1050
 
1.7%
Y 1030
 
1.6%
k 1021
 
1.6%
4 1019
 
1.6%
O 1015
 
1.6%
e 1014
 
1.6%
Other values (52) 50562
80.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 62745
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 1968
 
3.1%
a 1939
 
3.1%
T 1072
 
1.7%
d 1055
 
1.7%
v 1050
 
1.7%
Y 1030
 
1.6%
k 1021
 
1.6%
4 1019
 
1.6%
O 1015
 
1.6%
e 1014
 
1.6%
Other values (52) 50562
80.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 62745
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 1968
 
3.1%
a 1939
 
3.1%
T 1072
 
1.7%
d 1055
 
1.7%
v 1050
 
1.7%
Y 1030
 
1.6%
k 1021
 
1.6%
4 1019
 
1.6%
O 1015
 
1.6%
e 1014
 
1.6%
Other values (52) 50562
80.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 62745
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 1968
 
3.1%
a 1939
 
3.1%
T 1072
 
1.7%
d 1055
 
1.7%
v 1050
 
1.7%
Y 1030
 
1.6%
k 1021
 
1.6%
4 1019
 
1.6%
O 1015
 
1.6%
e 1014
 
1.6%
Other values (52) 50562
80.6%

w1_experimentid
Text

Constant 

experiment id

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size73.7 KiB
2025-02-26T17:41:48.077741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters41830
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetIndia
2nd rowwenetIndia
3rd rowwenetIndia
4th rowwenetIndia
5th rowwenetIndia
ValueCountFrequency (%)
wenetindia 4183
100.0%
2025-02-26T17:41:48.187752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 8366
20.0%
n 8366
20.0%
w 4183
10.0%
t 4183
10.0%
I 4183
10.0%
d 4183
10.0%
i 4183
10.0%
a 4183
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 41830
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 8366
20.0%
n 8366
20.0%
w 4183
10.0%
t 4183
10.0%
I 4183
10.0%
d 4183
10.0%
i 4183
10.0%
a 4183
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 41830
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 8366
20.0%
n 8366
20.0%
w 4183
10.0%
t 4183
10.0%
I 4183
10.0%
d 4183
10.0%
i 4183
10.0%
a 4183
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 41830
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 8366
20.0%
n 8366
20.0%
w 4183
10.0%
t 4183
10.0%
I 4183
10.0%
d 4183
10.0%
i 4183
10.0%
a 4183
10.0%

w1_fillinquest
Unsupported

Missing  Rejected  Unsupported 

fillinquest

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_lastpage
Real number (ℝ)

Missing  Zeros 

last page

Distinct16
Distinct (%)0.6%
Missing1320
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean9.378973105
Minimum-1
Maximum15
Zeros114
Zeros (%)2.7%
Negative185
Negative (%)4.4%
Memory size36.9 KiB
2025-02-26T17:41:48.238871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q13
median15
Q315
95-th percentile15
Maximum15
Range16
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.375283504
Coefficient of variation (CV)0.6797421671
Kurtosis-1.656106216
Mean9.378973105
Median Absolute Deviation (MAD)0
Skewness-0.3851242959
Sum26852
Variance40.64423976
MonotonicityNot monotonic
2025-02-26T17:41:48.308539image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
15 1514
36.2%
3 481
 
11.5%
-1 185
 
4.4%
4 177
 
4.2%
1 171
 
4.1%
0 114
 
2.7%
6 39
 
0.9%
10 36
 
0.9%
9 34
 
0.8%
13 29
 
0.7%
Other values (6) 83
 
2.0%
(Missing) 1320
31.6%
ValueCountFrequency (%)
-1 185
 
4.4%
0 114
 
2.7%
1 171
 
4.1%
3 481
11.5%
4 177
 
4.2%
ValueCountFrequency (%)
15 1514
36.2%
14 18
 
0.4%
13 29
 
0.7%
12 4
 
0.1%
11 8
 
0.2%

w1_submitdate
Date

Missing 

date of submission

Distinct1502
Distinct (%)99.2%
Missing2669
Missing (%)63.8%
Memory size32.8 KiB
Minimum2021-05-26 12:01:26
Maximum2021-11-19 10:49:46
2025-02-26T17:41:48.390877image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:41:48.518384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_startlanguage
Text

Constant 

start language

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size41.0 KiB
2025-02-26T17:41:48.604693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters8366
Distinct characters2
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 rowen
2nd rowen
3rd rowen
4th rowen
5th rowen
ValueCountFrequency (%)
en 4183
100.0%
2025-02-26T17:41:48.755381image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4183
50.0%
n 4183
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8366
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 4183
50.0%
n 4183
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8366
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 4183
50.0%
n 4183
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8366
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 4183
50.0%
n 4183
50.0%

w1_startdate
Date

Start date

Distinct4092
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
Minimum2021-05-25 12:01:06
Maximum2021-12-05 06:26:49
2025-02-26T17:41:48.840084image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:41:48.901174image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_datestamp
Date

datestamp

Distinct4115
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
Minimum2021-05-25 12:01:06
Maximum2021-12-05 06:26:49
2025-02-26T17:41:48.956804image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:41:49.013790image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w1_refurl
Text

Missing 

reference url

Distinct4
Distinct (%)0.4%
Missing3276
Missing (%)78.3%
Memory size44.5 KiB
2025-02-26T17:41:49.097139image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.57331863
Min length4

Characters and Unicode

Total characters11404
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 857
94.5%
mail 40
 
4.4%
limesurvey 9
 
1.0%
search-engine 1
 
0.1%
2025-02-26T17:41:49.221820image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 1764
15.5%
a 1755
15.4%
d 1714
15.0%
m 906
7.9%
l 906
7.9%
r 867
7.6%
n 859
7.5%
- 858
7.5%
g 858
7.5%
o 857
7.5%
Other values (7) 60
 
0.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11404
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 1764
15.5%
a 1755
15.4%
d 1714
15.0%
m 906
7.9%
l 906
7.9%
r 867
7.6%
n 859
7.5%
- 858
7.5%
g 858
7.5%
o 857
7.5%
Other values (7) 60
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11404
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 1764
15.5%
a 1755
15.4%
d 1714
15.0%
m 906
7.9%
l 906
7.9%
r 867
7.6%
n 859
7.5%
- 858
7.5%
g 858
7.5%
o 857
7.5%
Other values (7) 60
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11404
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 1764
15.5%
a 1755
15.4%
d 1714
15.0%
m 906
7.9%
l 906
7.9%
r 867
7.6%
n 859
7.5%
- 858
7.5%
g 858
7.5%
o 857
7.5%
Other values (7) 60
 
0.5%

w1_A00_1
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing1532
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean1.038853263
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:49.284896image/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 deviation0.193281605
Coefficient of variation (CV)0.1860528449
Kurtosis20.81979747
Mean1.038853263
Median Absolute Deviation (MAD)0
Skewness4.775362908
Sum2754
Variance0.03735777884
MonotonicityNot monotonic
2025-02-26T17:41:49.338646image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2548
60.9%
2 103
 
2.5%
(Missing) 1532
36.6%
ValueCountFrequency (%)
1 2548
60.9%
2 103
 
2.5%
ValueCountFrequency (%)
2 103
 
2.5%
1 2548
60.9%

w1_A00_2
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing1563
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean1.264122137
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:49.391397image/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 deviation0.4409488021
Coefficient of variation (CV)0.3488181949
Kurtosis-0.8542919251
Mean1.264122137
Median Absolute Deviation (MAD)0
Skewness1.070682394
Sum3312
Variance0.1944358461
MonotonicityNot monotonic
2025-02-26T17:41:49.459142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1928
46.1%
2 692
 
16.5%
(Missing) 1563
37.4%
ValueCountFrequency (%)
1 1928
46.1%
2 692
 
16.5%
ValueCountFrequency (%)
2 692
 
16.5%
1 1928
46.1%

w1_A01
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing1864
Missing (%)44.6%
Infinite0
Infinite (%)0.0%
Mean1.523501509
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:49.511183image/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 deviation0.4995550944
Coefficient of variation (CV)0.3278993105
Kurtosis-1.992851288
Mean1.523501509
Median Absolute Deviation (MAD)0
Skewness-0.09417097608
Sum3533
Variance0.2495552924
MonotonicityNot monotonic
2025-02-26T17:41:49.560485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1214
29.0%
1 1105
26.4%
(Missing) 1864
44.6%
ValueCountFrequency (%)
1 1105
26.4%
2 1214
29.0%
ValueCountFrequency (%)
2 1214
29.0%
1 1105
26.4%

w1_A02
Real number (ℝ)

Missing 

When were you born? Year:

Distinct27
Distinct (%)1.2%
Missing1870
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean1999.417207
Minimum1954
Maximum2004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:49.606840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1954
5-th percentile1995
Q11998
median2000
Q32001
95-th percentile2002
Maximum2004
Range50
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.970325786
Coefficient of variation (CV)0.00148559579
Kurtosis32.6591162
Mean1999.417207
Median Absolute Deviation (MAD)1
Skewness-3.641512733
Sum4624652
Variance8.822835276
MonotonicityNot monotonic
2025-02-26T17:41:49.661236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2002 419
 
10.0%
2000 408
 
9.8%
2001 390
 
9.3%
1999 365
 
8.7%
1998 264
 
6.3%
1997 148
 
3.5%
2003 98
 
2.3%
1996 75
 
1.8%
1995 30
 
0.7%
1994 27
 
0.6%
Other values (17) 89
 
2.1%
(Missing) 1870
44.7%
ValueCountFrequency (%)
1954 1
< 0.1%
1973 1
< 0.1%
1977 1
< 0.1%
1980 1
< 0.1%
1981 2
< 0.1%
ValueCountFrequency (%)
2004 2
 
< 0.1%
2003 98
 
2.3%
2002 419
10.0%
2001 390
9.3%
2000 408
9.8%

w1_A03
Real number (ℝ)

Missing 

What is your nationality? [List, see Appendix]

Distinct14
Distinct (%)0.6%
Missing1883
Missing (%)45.0%
Infinite0
Infinite (%)0.0%
Mean98.04913043
Minimum4
Maximum191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:49.707424image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile98
Q198
median98
Q398
95-th percentile98
Maximum191
Range187
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.98073783
Coefficient of variation (CV)0.06099735718
Kurtosis190.5790918
Mean98.04913043
Median Absolute Deviation (MAD)0
Skewness-0.9624182487
Sum225513
Variance35.76922499
MonotonicityNot monotonic
2025-02-26T17:41:49.753148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
98 2281
54.5%
145 4
 
0.1%
4 3
 
0.1%
65 2
 
< 0.1%
94 1
 
< 0.1%
191 1
 
< 0.1%
190 1
 
< 0.1%
181 1
 
< 0.1%
168 1
 
< 0.1%
149 1
 
< 0.1%
Other values (4) 4
 
0.1%
(Missing) 1883
45.0%
ValueCountFrequency (%)
4 3
0.1%
5 1
 
< 0.1%
41 1
 
< 0.1%
65 2
< 0.1%
94 1
 
< 0.1%
ValueCountFrequency (%)
191 1
< 0.1%
190 1
< 0.1%
181 1
< 0.1%
168 1
< 0.1%
149 1
< 0.1%

w1_A03JLU
Unsupported

Missing  Rejected  Unsupported 

What is your nationality? [List, see Appendix]

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A04AMRITA
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A04AMRITA_other
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A04AAU
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A04JLU
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 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

Missing4183
Missing (%)100.0%
Memory size36.9 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

Missing4183
Missing (%)100.0%
Memory size36.9 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

Missing4183
Missing (%)100.0%
Memory size36.9 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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A04IPICYT
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A05
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A05UNITN
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A05AMRITA
Real number (ℝ)

Missing 

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

Distinct16
Distinct (%)0.7%
Missing1869
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean5.348314607
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:49.800929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q36
95-th percentile12
Maximum16
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.869043929
Coefficient of variation (CV)0.5364388859
Kurtosis1.393958284
Mean5.348314607
Median Absolute Deviation (MAD)1
Skewness0.6686532159
Sum12376
Variance8.231413068
MonotonicityNot monotonic
2025-02-26T17:41:49.844227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6 957
22.9%
1 343
 
8.2%
7 229
 
5.5%
5 225
 
5.4%
3 141
 
3.4%
2 106
 
2.5%
4 88
 
2.1%
12 46
 
1.1%
9 43
 
1.0%
14 42
 
1.0%
Other values (6) 94
 
2.2%
(Missing) 1869
44.7%
ValueCountFrequency (%)
1 343
8.2%
2 106
 
2.5%
3 141
3.4%
4 88
 
2.1%
5 225
5.4%
ValueCountFrequency (%)
16 3
 
0.1%
15 8
 
0.2%
14 42
1.0%
13 21
0.5%
12 46
1.1%

w1_A06
Real number (ℝ)

Missing 

Programme: 1. Full Time, 2. Part Time

Distinct2
Distinct (%)0.1%
Missing1862
Missing (%)44.5%
Infinite0
Infinite (%)0.0%
Mean1.025850926
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:49.884564image/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 deviation0.1587246374
Coefficient of variation (CV)0.1547248566
Kurtosis33.7851919
Mean1.025850926
Median Absolute Deviation (MAD)0
Skewness5.979638786
Sum2381
Variance0.02519351053
MonotonicityNot monotonic
2025-02-26T17:41:49.921938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2261
54.1%
2 60
 
1.4%
(Missing) 1862
44.5%
ValueCountFrequency (%)
1 2261
54.1%
2 60
 
1.4%
ValueCountFrequency (%)
2 60
 
1.4%
1 2261
54.1%

w1_A07
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A08
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing1899
Missing (%)45.4%
Infinite0
Infinite (%)0.0%
Mean1.003502627
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:49.957900image/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 deviation0.05909219426
Coefficient of variation (CV)0.05888593878
Kurtosis281.1211778
Mean1.003502627
Median Absolute Deviation (MAD)0
Skewness16.81888857
Sum2292
Variance0.003491887422
MonotonicityNot monotonic
2025-02-26T17:41:49.994492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 2276
54.4%
2 8
 
0.2%
(Missing) 1899
45.4%
ValueCountFrequency (%)
1 2276
54.4%
2 8
 
0.2%
ValueCountFrequency (%)
2 8
 
0.2%
1 2276
54.4%

w1_A09
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

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)

Missing4183
Missing (%)100.0%
Memory size36.9 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)

Missing4183
Missing (%)100.0%
Memory size36.9 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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A10AAU
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A10NUM
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 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

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_A10UC
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 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]

Missing4183
Missing (%)100.0%
Memory size36.9 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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_A11
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B01_1
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2415
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean3.047511312
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.034219image/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 deviation1.19374171
Coefficient of variation (CV)0.3917103458
Kurtosis-0.7841482778
Mean3.047511312
Median Absolute Deviation (MAD)1
Skewness-0.2634817543
Sum5388
Variance1.42501927
MonotonicityNot monotonic
2025-02-26T17:41:50.075353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 572
 
13.7%
4 505
 
12.1%
1 264
 
6.3%
2 249
 
6.0%
5 178
 
4.3%
(Missing) 2415
57.7%
ValueCountFrequency (%)
1 264
6.3%
2 249
6.0%
3 572
13.7%
4 505
12.1%
5 178
 
4.3%
ValueCountFrequency (%)
5 178
 
4.3%
4 505
12.1%
3 572
13.7%
2 249
6.0%
1 264
6.3%

w1_B01_2
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2399
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean4.056053812
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.116342image/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 deviation0.9947688805
Coefficient of variation (CV)0.2452553459
Kurtosis1.151365886
Mean4.056053812
Median Absolute Deviation (MAD)1
Skewness-1.190406504
Sum7236
Variance0.9895651255
MonotonicityNot monotonic
2025-02-26T17:41:50.157551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 751
 
18.0%
5 672
 
16.1%
3 202
 
4.8%
2 107
 
2.6%
1 52
 
1.2%
(Missing) 2399
57.4%
ValueCountFrequency (%)
1 52
 
1.2%
2 107
 
2.6%
3 202
 
4.8%
4 751
18.0%
5 672
16.1%
ValueCountFrequency (%)
5 672
16.1%
4 751
18.0%
3 202
 
4.8%
2 107
 
2.6%
1 52
 
1.2%

w1_B01_3
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2420
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean3.648326716
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.197783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.001123819
Coefficient of variation (CV)0.2744062956
Kurtosis0.01241143324
Mean3.648326716
Median Absolute Deviation (MAD)1
Skewness-0.6150806522
Sum6432
Variance1.002248901
MonotonicityNot monotonic
2025-02-26T17:41:50.239843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 750
 
17.9%
3 447
 
10.7%
5 339
 
8.1%
2 169
 
4.0%
1 58
 
1.4%
(Missing) 2420
57.9%
ValueCountFrequency (%)
1 58
 
1.4%
2 169
 
4.0%
3 447
10.7%
4 750
17.9%
5 339
8.1%
ValueCountFrequency (%)
5 339
8.1%
4 750
17.9%
3 447
10.7%
2 169
 
4.0%
1 58
 
1.4%

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 (%)0.3%
Missing2406
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean3.324141812
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.280083image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.280768684
Coefficient of variation (CV)0.3852930339
Kurtosis-0.9925472211
Mean3.324141812
Median Absolute Deviation (MAD)1
Skewness-0.3255868468
Sum5907
Variance1.640368421
MonotonicityNot monotonic
2025-02-26T17:41:50.380429image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 526
 
12.6%
5 374
 
8.9%
3 369
 
8.8%
2 318
 
7.6%
1 190
 
4.5%
(Missing) 2406
57.5%
ValueCountFrequency (%)
1 190
 
4.5%
2 318
7.6%
3 369
8.8%
4 526
12.6%
5 374
8.9%
ValueCountFrequency (%)
5 374
8.9%
4 526
12.6%
3 369
8.8%
2 318
7.6%
1 190
 
4.5%

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 (%)0.3%
Missing2409
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean3.855129651
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.420063image/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 deviation1.050815041
Coefficient of variation (CV)0.272575798
Kurtosis0.2144037082
Mean3.855129651
Median Absolute Deviation (MAD)1
Skewness-0.8325032695
Sum6839
Variance1.104212251
MonotonicityNot monotonic
2025-02-26T17:41:50.461988image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 674
 
16.1%
5 549
 
13.1%
3 361
 
8.6%
2 125
 
3.0%
1 65
 
1.6%
(Missing) 2409
57.6%
ValueCountFrequency (%)
1 65
 
1.6%
2 125
 
3.0%
3 361
8.6%
4 674
16.1%
5 549
13.1%
ValueCountFrequency (%)
5 549
13.1%
4 674
16.1%
3 361
8.6%
2 125
 
3.0%
1 65
 
1.6%

w1_B01_6
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2401
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean2.959034792
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.502318image/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 deviation1.357907682
Coefficient of variation (CV)0.4589022359
Kurtosis-1.227693793
Mean2.959034792
Median Absolute Deviation (MAD)1
Skewness-0.03755566766
Sum5273
Variance1.843913273
MonotonicityNot monotonic
2025-02-26T17:41:50.542232image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 440
 
10.5%
3 370
 
8.8%
1 354
 
8.5%
2 347
 
8.3%
5 271
 
6.5%
(Missing) 2401
57.4%
ValueCountFrequency (%)
1 354
8.5%
2 347
8.3%
3 370
8.8%
4 440
10.5%
5 271
6.5%
ValueCountFrequency (%)
5 271
6.5%
4 440
10.5%
3 370
8.8%
2 347
8.3%
1 354
8.5%

w1_B01_7
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2403
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean2.756741573
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.581216image/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 deviation1.18441944
Coefficient of variation (CV)0.4296447124
Kurtosis-0.7593870582
Mean2.756741573
Median Absolute Deviation (MAD)1
Skewness0.18624286
Sum4907
Variance1.40284941
MonotonicityNot monotonic
2025-02-26T17:41:50.622220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 577
 
13.8%
2 441
 
10.5%
1 305
 
7.3%
4 296
 
7.1%
5 161
 
3.8%
(Missing) 2403
57.4%
ValueCountFrequency (%)
1 305
7.3%
2 441
10.5%
3 577
13.8%
4 296
7.1%
5 161
 
3.8%
ValueCountFrequency (%)
5 161
 
3.8%
4 296
7.1%
3 577
13.8%
2 441
10.5%
1 305
7.3%

w1_B01_8
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2403
Missing (%)57.4%
Infinite0
Infinite (%)0.0%
Mean2.721348315
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.664473image/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 deviation1.301572699
Coefficient of variation (CV)0.4782822884
Kurtosis-1.138641103
Mean2.721348315
Median Absolute Deviation (MAD)1
Skewness0.1694387665
Sum4844
Variance1.694091492
MonotonicityNot monotonic
2025-02-26T17:41:50.704173image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 421
 
10.1%
1 409
 
9.8%
4 391
 
9.3%
3 383
 
9.2%
5 176
 
4.2%
(Missing) 2403
57.4%
ValueCountFrequency (%)
1 409
9.8%
2 421
10.1%
3 383
9.2%
4 391
9.3%
5 176
4.2%
ValueCountFrequency (%)
5 176
4.2%
4 391
9.3%
3 383
9.2%
2 421
10.1%
1 409
9.8%

w1_B01_9
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2405
Missing (%)57.5%
Infinite0
Infinite (%)0.0%
Mean3.132733408
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.744516image/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 deviation1.193368215
Coefficient of variation (CV)0.3809351321
Kurtosis-0.8864920045
Mean3.132733408
Median Absolute Deviation (MAD)1
Skewness-0.1796286664
Sum5570
Variance1.424127696
MonotonicityNot monotonic
2025-02-26T17:41:50.785325image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 522
 
12.5%
3 473
 
11.3%
2 364
 
8.7%
5 229
 
5.5%
1 190
 
4.5%
(Missing) 2405
57.5%
ValueCountFrequency (%)
1 190
 
4.5%
2 364
8.7%
3 473
11.3%
4 522
12.5%
5 229
5.5%
ValueCountFrequency (%)
5 229
5.5%
4 522
12.5%
3 473
11.3%
2 364
8.7%
1 190
 
4.5%

w1_B01_10
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2417
Missing (%)57.8%
Infinite0
Infinite (%)0.0%
Mean2.496602492
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.825318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.068073804
Coefficient of variation (CV)0.4278109182
Kurtosis-0.4915605423
Mean2.496602492
Median Absolute Deviation (MAD)1
Skewness0.3300681675
Sum4409
Variance1.140781652
MonotonicityNot monotonic
2025-02-26T17:41:50.865293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 565
 
13.5%
2 557
 
13.3%
1 349
 
8.3%
4 224
 
5.4%
5 71
 
1.7%
(Missing) 2417
57.8%
ValueCountFrequency (%)
1 349
8.3%
2 557
13.3%
3 565
13.5%
4 224
 
5.4%
5 71
 
1.7%
ValueCountFrequency (%)
5 71
 
1.7%
4 224
 
5.4%
3 565
13.5%
2 557
13.3%
1 349
8.3%

w1_B01_11
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2408
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean3.016901408
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.904628image/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 deviation1.315395988
Coefficient of variation (CV)0.4360089409
Kurtosis-1.115402145
Mean3.016901408
Median Absolute Deviation (MAD)1
Skewness-0.09363754393
Sum5355
Variance1.730266605
MonotonicityNot monotonic
2025-02-26T17:41:50.944786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 440
 
10.5%
3 433
 
10.4%
2 326
 
7.8%
1 309
 
7.4%
5 267
 
6.4%
(Missing) 2408
57.6%
ValueCountFrequency (%)
1 309
7.4%
2 326
7.8%
3 433
10.4%
4 440
10.5%
5 267
6.4%
ValueCountFrequency (%)
5 267
6.4%
4 440
10.5%
3 433
10.4%
2 326
7.8%
1 309
7.4%

w1_B01_12
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2414
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean4.061051441
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:50.984007image/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 deviation0.9693861601
Coefficient of variation (CV)0.2387032457
Kurtosis1.221979376
Mean4.061051441
Median Absolute Deviation (MAD)1
Skewness-1.166574772
Sum7184
Variance0.9397095273
MonotonicityNot monotonic
2025-02-26T17:41:51.026245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 753
 
18.0%
5 655
 
15.7%
3 222
 
5.3%
2 92
 
2.2%
1 47
 
1.1%
(Missing) 2414
57.7%
ValueCountFrequency (%)
1 47
 
1.1%
2 92
 
2.2%
3 222
 
5.3%
4 753
18.0%
5 655
15.7%
ValueCountFrequency (%)
5 655
15.7%
4 753
18.0%
3 222
 
5.3%
2 92
 
2.2%
1 47
 
1.1%

w1_B01_13
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2429
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean3.521664766
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.066530image/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 deviation1.135356366
Coefficient of variation (CV)0.3223919485
Kurtosis-0.3860652599
Mean3.521664766
Median Absolute Deviation (MAD)1
Skewness-0.5066640706
Sum6177
Variance1.289034078
MonotonicityNot monotonic
2025-02-26T17:41:51.106947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 568
 
13.6%
3 511
 
12.2%
5 380
 
9.1%
2 177
 
4.2%
1 118
 
2.8%
(Missing) 2429
58.1%
ValueCountFrequency (%)
1 118
 
2.8%
2 177
 
4.2%
3 511
12.2%
4 568
13.6%
5 380
9.1%
ValueCountFrequency (%)
5 380
9.1%
4 568
13.6%
3 511
12.2%
2 177
 
4.2%
1 118
 
2.8%

w1_B01_14
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2413
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean3.189265537
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.147182image/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 deviation1.262494602
Coefficient of variation (CV)0.3958574749
Kurtosis-1.013259634
Mean3.189265537
Median Absolute Deviation (MAD)1
Skewness-0.1822304482
Sum5645
Variance1.59389262
MonotonicityNot monotonic
2025-02-26T17:41:51.188209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 478
 
11.4%
3 426
 
10.2%
2 353
 
8.4%
5 309
 
7.4%
1 204
 
4.9%
(Missing) 2413
57.7%
ValueCountFrequency (%)
1 204
4.9%
2 353
8.4%
3 426
10.2%
4 478
11.4%
5 309
7.4%
ValueCountFrequency (%)
5 309
7.4%
4 478
11.4%
3 426
10.2%
2 353
8.4%
1 204
4.9%

w1_B01_15
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2418
Missing (%)57.8%
Infinite0
Infinite (%)0.0%
Mean2.71388102
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.227830image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.052076533
Coefficient of variation (CV)0.3876649438
Kurtosis-0.552572245
Mean2.71388102
Median Absolute Deviation (MAD)1
Skewness0.1346541678
Sum4790
Variance1.106865031
MonotonicityNot monotonic
2025-02-26T17:41:51.268575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 628
 
15.0%
2 505
 
12.1%
4 312
 
7.5%
1 238
 
5.7%
5 82
 
2.0%
(Missing) 2418
57.8%
ValueCountFrequency (%)
1 238
 
5.7%
2 505
12.1%
3 628
15.0%
4 312
7.5%
5 82
 
2.0%
ValueCountFrequency (%)
5 82
 
2.0%
4 312
7.5%
3 628
15.0%
2 505
12.1%
1 238
 
5.7%

w1_B01_16
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2432
Missing (%)58.1%
Infinite0
Infinite (%)0.0%
Mean3.095374072
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.309252image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9905474763
Coefficient of variation (CV)0.3200089725
Kurtosis-0.09049255327
Mean3.095374072
Median Absolute Deviation (MAD)1
Skewness-0.1705879154
Sum5420
Variance0.9811843028
MonotonicityNot monotonic
2025-02-26T17:41:51.348527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 804
 
19.2%
4 420
 
10.0%
2 265
 
6.3%
5 134
 
3.2%
1 128
 
3.1%
(Missing) 2432
58.1%
ValueCountFrequency (%)
1 128
 
3.1%
2 265
 
6.3%
3 804
19.2%
4 420
10.0%
5 134
 
3.2%
ValueCountFrequency (%)
5 134
 
3.2%
4 420
10.0%
3 804
19.2%
2 265
 
6.3%
1 128
 
3.1%

w1_B01_17
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2424
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean2.601478113
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.388111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.132224284
Coefficient of variation (CV)0.4352234519
Kurtosis-0.6074544838
Mean2.601478113
Median Absolute Deviation (MAD)1
Skewness0.3008186464
Sum4576
Variance1.28193183
MonotonicityNot monotonic
2025-02-26T17:41:51.427960image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 561
 
13.4%
2 504
 
12.0%
1 334
 
8.0%
4 249
 
6.0%
5 111
 
2.7%
(Missing) 2424
57.9%
ValueCountFrequency (%)
1 334
8.0%
2 504
12.0%
3 561
13.4%
4 249
6.0%
5 111
 
2.7%
ValueCountFrequency (%)
5 111
 
2.7%
4 249
6.0%
3 561
13.4%
2 504
12.0%
1 334
8.0%

w1_B01_18
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2422
Missing (%)57.9%
Infinite0
Infinite (%)0.0%
Mean2.360590574
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.467924image/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 deviation1.150598902
Coefficient of variation (CV)0.4874199341
Kurtosis-0.6147644702
Mean2.360590574
Median Absolute Deviation (MAD)1
Skewness0.4906414467
Sum4157
Variance1.323877833
MonotonicityNot monotonic
2025-02-26T17:41:51.507771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 515
 
12.3%
1 497
 
11.9%
3 448
 
10.7%
4 219
 
5.2%
5 82
 
2.0%
(Missing) 2422
57.9%
ValueCountFrequency (%)
1 497
11.9%
2 515
12.3%
3 448
10.7%
4 219
5.2%
5 82
 
2.0%
ValueCountFrequency (%)
5 82
 
2.0%
4 219
5.2%
3 448
10.7%
2 515
12.3%
1 497
11.9%

w1_B01_19
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2442
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean2.802986789
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.547094image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.03596933
Coefficient of variation (CV)0.3695947959
Kurtosis-0.4189150789
Mean2.802986789
Median Absolute Deviation (MAD)1
Skewness-0.03413672591
Sum4880
Variance1.073232453
MonotonicityNot monotonic
2025-02-26T17:41:51.589214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 736
 
17.6%
2 379
 
9.1%
4 316
 
7.6%
1 225
 
5.4%
5 85
 
2.0%
(Missing) 2442
58.4%
ValueCountFrequency (%)
1 225
 
5.4%
2 379
9.1%
3 736
17.6%
4 316
7.6%
5 85
 
2.0%
ValueCountFrequency (%)
5 85
 
2.0%
4 316
7.6%
3 736
17.6%
2 379
9.1%
1 225
 
5.4%

w1_B01_20
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2425
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean2.082480091
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.629594image/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 deviation1.161672196
Coefficient of variation (CV)0.5578311175
Kurtosis-0.1036333908
Mean2.082480091
Median Absolute Deviation (MAD)1
Skewness0.9055278168
Sum3661
Variance1.349482292
MonotonicityNot monotonic
2025-02-26T17:41:51.672043image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 710
 
17.0%
2 522
 
12.5%
3 277
 
6.6%
4 169
 
4.0%
5 80
 
1.9%
(Missing) 2425
58.0%
ValueCountFrequency (%)
1 710
17.0%
2 522
12.5%
3 277
 
6.6%
4 169
 
4.0%
5 80
 
1.9%
ValueCountFrequency (%)
5 80
 
1.9%
4 169
 
4.0%
3 277
 
6.6%
2 522
12.5%
1 710
17.0%

w1_B02_1
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2443
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean5.283333333
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.711263image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.729445404
Coefficient of variation (CV)0.3273398242
Kurtosis-0.2468294841
Mean5.283333333
Median Absolute Deviation (MAD)1
Skewness-0.8028550939
Sum9193
Variance2.990981407
MonotonicityNot monotonic
2025-02-26T17:41:51.751904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 614
 
14.7%
5 310
 
7.4%
6 287
 
6.9%
4 259
 
6.2%
3 119
 
2.8%
2 79
 
1.9%
1 72
 
1.7%
(Missing) 2443
58.4%
ValueCountFrequency (%)
1 72
 
1.7%
2 79
 
1.9%
3 119
 
2.8%
4 259
6.2%
5 310
7.4%
ValueCountFrequency (%)
7 614
14.7%
6 287
6.9%
5 310
7.4%
4 259
6.2%
3 119
 
2.8%

w1_B02_2
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2441
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean5.860505166
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.788483image/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 deviation1.478760747
Coefficient of variation (CV)0.2523264983
Kurtosis1.898420625
Mean5.860505166
Median Absolute Deviation (MAD)1
Skewness-1.517438463
Sum10209
Variance2.186733346
MonotonicityNot monotonic
2025-02-26T17:41:51.824867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 812
 
19.4%
6 422
 
10.1%
5 226
 
5.4%
4 146
 
3.5%
3 53
 
1.3%
1 46
 
1.1%
2 37
 
0.9%
(Missing) 2441
58.4%
ValueCountFrequency (%)
1 46
 
1.1%
2 37
 
0.9%
3 53
 
1.3%
4 146
3.5%
5 226
5.4%
ValueCountFrequency (%)
7 812
19.4%
6 422
10.1%
5 226
 
5.4%
4 146
 
3.5%
3 53
 
1.3%

w1_B02_3
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2452
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean3.828422877
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.860416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.011820789
Coefficient of variation (CV)0.5254959689
Kurtosis-1.196494982
Mean3.828422877
Median Absolute Deviation (MAD)2
Skewness0.05997719645
Sum6627
Variance4.047422887
MonotonicityNot monotonic
2025-02-26T17:41:51.896735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 330
 
7.9%
1 324
 
7.7%
5 242
 
5.8%
7 228
 
5.5%
2 220
 
5.3%
3 195
 
4.7%
6 192
 
4.6%
(Missing) 2452
58.6%
ValueCountFrequency (%)
1 324
7.7%
2 220
5.3%
3 195
4.7%
4 330
7.9%
5 242
5.8%
ValueCountFrequency (%)
7 228
5.5%
6 192
4.6%
5 242
5.8%
4 330
7.9%
3 195
4.7%

w1_B02_4
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2442
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean5.587593337
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:51.932644image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.518448243
Coefficient of variation (CV)0.2717535353
Kurtosis0.5151197794
Mean5.587593337
Median Absolute Deviation (MAD)1
Skewness-1.062029086
Sum9728
Variance2.305685067
MonotonicityNot monotonic
2025-02-26T17:41:51.969148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 645
 
15.4%
6 425
 
10.2%
5 275
 
6.6%
4 227
 
5.4%
3 77
 
1.8%
2 57
 
1.4%
1 35
 
0.8%
(Missing) 2442
58.4%
ValueCountFrequency (%)
1 35
 
0.8%
2 57
 
1.4%
3 77
 
1.8%
4 227
5.4%
5 275
6.6%
ValueCountFrequency (%)
7 645
15.4%
6 425
10.2%
5 275
6.6%
4 227
 
5.4%
3 77
 
1.8%

w1_B02_5
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2444
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean5.498562392
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.004487image/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 deviation1.500047258
Coefficient of variation (CV)0.2728071723
Kurtosis0.4055224406
Mean5.498562392
Median Absolute Deviation (MAD)1
Skewness-0.972045837
Sum9562
Variance2.250141776
MonotonicityNot monotonic
2025-02-26T17:41:52.041151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 567
 
13.6%
6 448
 
10.7%
5 308
 
7.4%
4 237
 
5.7%
3 96
 
2.3%
2 46
 
1.1%
1 37
 
0.9%
(Missing) 2444
58.4%
ValueCountFrequency (%)
1 37
 
0.9%
2 46
 
1.1%
3 96
 
2.3%
4 237
5.7%
5 308
7.4%
ValueCountFrequency (%)
7 567
13.6%
6 448
10.7%
5 308
7.4%
4 237
5.7%
3 96
 
2.3%

w1_B02_6
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2445
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean4.81990794
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.076104image/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 deviation1.733982738
Coefficient of variation (CV)0.3597543271
Kurtosis-0.6445149792
Mean4.81990794
Median Absolute Deviation (MAD)1
Skewness-0.5075639117
Sum8377
Variance3.006696134
MonotonicityNot monotonic
2025-02-26T17:41:52.113757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 354
 
8.5%
6 351
 
8.4%
5 346
 
8.3%
4 303
 
7.2%
3 167
 
4.0%
2 133
 
3.2%
1 84
 
2.0%
(Missing) 2445
58.5%
ValueCountFrequency (%)
1 84
 
2.0%
2 133
 
3.2%
3 167
4.0%
4 303
7.2%
5 346
8.3%
ValueCountFrequency (%)
7 354
8.5%
6 351
8.4%
5 346
8.3%
4 303
7.2%
3 167
4.0%

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 (%)0.4%
Missing2455
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean5.513310185
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.150209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.680242811
Coefficient of variation (CV)0.3047611606
Kurtosis0.4108211994
Mean5.513310185
Median Absolute Deviation (MAD)1
Skewness-1.116349866
Sum9527
Variance2.823215904
MonotonicityNot monotonic
2025-02-26T17:41:52.188422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 668
 
16.0%
6 403
 
9.6%
5 232
 
5.5%
4 202
 
4.8%
3 90
 
2.2%
1 71
 
1.7%
2 62
 
1.5%
(Missing) 2455
58.7%
ValueCountFrequency (%)
1 71
 
1.7%
2 62
 
1.5%
3 90
 
2.2%
4 202
4.8%
5 232
5.5%
ValueCountFrequency (%)
7 668
16.0%
6 403
9.6%
5 232
 
5.5%
4 202
 
4.8%
3 90
 
2.2%

w1_B02_8
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: RELIGIOSITY. To believe in God as the savior of humanity; to fulfill the will of God.

Distinct7
Distinct (%)0.4%
Missing2454
Missing (%)58.7%
Infinite0
Infinite (%)0.0%
Mean4.674956622
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.224295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.036320327
Coefficient of variation (CV)0.4355805822
Kurtosis-1.052042673
Mean4.674956622
Median Absolute Deviation (MAD)2
Skewness-0.4356723687
Sum8083
Variance4.146600476
MonotonicityNot monotonic
2025-02-26T17:41:52.259724image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 476
 
11.4%
4 286
 
6.8%
6 252
 
6.0%
5 236
 
5.6%
1 190
 
4.5%
3 147
 
3.5%
2 142
 
3.4%
(Missing) 2454
58.7%
ValueCountFrequency (%)
1 190
4.5%
2 142
3.4%
3 147
3.5%
4 286
6.8%
5 236
5.6%
ValueCountFrequency (%)
7 476
11.4%
6 252
6.0%
5 236
5.6%
4 286
6.8%
3 147
 
3.5%

w1_B02_9
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2451
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean5.826789838
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.295354image/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 deviation1.526964825
Coefficient of variation (CV)0.2620593616
Kurtosis1.013708229
Mean5.826789838
Median Absolute Deviation (MAD)1
Skewness-1.30897543
Sum10092
Variance2.331621578
MonotonicityNot monotonic
2025-02-26T17:41:52.331007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 864
 
20.7%
6 310
 
7.4%
5 223
 
5.3%
4 180
 
4.3%
3 76
 
1.8%
2 42
 
1.0%
1 37
 
0.9%
(Missing) 2451
58.6%
ValueCountFrequency (%)
1 37
 
0.9%
2 42
 
1.0%
3 76
 
1.8%
4 180
4.3%
5 223
5.3%
ValueCountFrequency (%)
7 864
20.7%
6 310
 
7.4%
5 223
 
5.3%
4 180
 
4.3%
3 76
 
1.8%

w1_B02_10
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2453
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean5.264739884
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.366500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.667355597
Coefficient of variation (CV)0.3167023696
Kurtosis-0.1097406343
Mean5.264739884
Median Absolute Deviation (MAD)1
Skewness-0.8149249751
Sum9108
Variance2.780074686
MonotonicityNot monotonic
2025-02-26T17:41:52.402564image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 536
 
12.8%
6 361
 
8.6%
5 315
 
7.5%
4 261
 
6.2%
3 124
 
3.0%
1 67
 
1.6%
2 66
 
1.6%
(Missing) 2453
58.6%
ValueCountFrequency (%)
1 67
 
1.6%
2 66
 
1.6%
3 124
 
3.0%
4 261
6.2%
5 315
7.5%
ValueCountFrequency (%)
7 536
12.8%
6 361
8.6%
5 315
7.5%
4 261
6.2%
3 124
 
3.0%

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 (%)0.4%
Missing2452
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean4.744078567
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.437715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.745949367
Coefficient of variation (CV)0.3680270769
Kurtosis-0.6046756345
Mean4.744078567
Median Absolute Deviation (MAD)1
Skewness-0.4828919048
Sum8212
Variance3.048339194
MonotonicityNot monotonic
2025-02-26T17:41:52.536110image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 343
 
8.2%
5 338
 
8.1%
7 334
 
8.0%
6 329
 
7.9%
3 172
 
4.1%
1 108
 
2.6%
2 107
 
2.6%
(Missing) 2452
58.6%
ValueCountFrequency (%)
1 108
 
2.6%
2 107
 
2.6%
3 172
4.1%
4 343
8.2%
5 338
8.1%
ValueCountFrequency (%)
7 334
8.0%
6 329
7.9%
5 338
8.1%
4 343
8.2%
3 172
4.1%

w1_B02_12
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2452
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean5.747544772
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.572649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.519559768
Coefficient of variation (CV)0.264384155
Kurtosis1.092419318
Mean5.747544772
Median Absolute Deviation (MAD)1
Skewness-1.29631195
Sum9949
Variance2.309061887
MonotonicityNot monotonic
2025-02-26T17:41:52.610467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 757
 
18.1%
6 398
 
9.5%
5 248
 
5.9%
4 166
 
4.0%
3 75
 
1.8%
2 46
 
1.1%
1 41
 
1.0%
(Missing) 2452
58.6%
ValueCountFrequency (%)
1 41
 
1.0%
2 46
 
1.1%
3 75
 
1.8%
4 166
4.0%
5 248
5.9%
ValueCountFrequency (%)
7 757
18.1%
6 398
9.5%
5 248
 
5.9%
4 166
 
4.0%
3 75
 
1.8%

w1_B02_13
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2448
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean5.563112392
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.646976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.520114879
Coefficient of variation (CV)0.2732489966
Kurtosis0.7470862503
Mean5.563112392
Median Absolute Deviation (MAD)1
Skewness-1.111421511
Sum9652
Variance2.310749246
MonotonicityNot monotonic
2025-02-26T17:41:52.684451image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 613
 
14.7%
6 434
 
10.4%
5 316
 
7.6%
4 198
 
4.7%
3 83
 
2.0%
1 46
 
1.1%
2 45
 
1.1%
(Missing) 2448
58.5%
ValueCountFrequency (%)
1 46
 
1.1%
2 45
 
1.1%
3 83
 
2.0%
4 198
4.7%
5 316
7.6%
ValueCountFrequency (%)
7 613
14.7%
6 434
10.4%
5 316
7.6%
4 198
 
4.7%
3 83
 
2.0%

w1_B02_14
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2444
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean5.395054629
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.720088image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.564419816
Coefficient of variation (CV)0.2899729333
Kurtosis0.3362850051
Mean5.395054629
Median Absolute Deviation (MAD)1
Skewness-0.9736217177
Sum9382
Variance2.447409361
MonotonicityNot monotonic
2025-02-26T17:41:52.756753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 520
 
12.4%
6 453
 
10.8%
5 339
 
8.1%
4 214
 
5.1%
3 95
 
2.3%
2 70
 
1.7%
1 48
 
1.1%
(Missing) 2444
58.4%
ValueCountFrequency (%)
1 48
 
1.1%
2 70
 
1.7%
3 95
 
2.3%
4 214
5.1%
5 339
8.1%
ValueCountFrequency (%)
7 520
12.4%
6 453
10.8%
5 339
8.1%
4 214
5.1%
3 95
 
2.3%

w1_B02_15
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2450
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean5.295441431
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.791743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.633358586
Coefficient of variation (CV)0.3084461621
Kurtosis0.01680386305
Mean5.295441431
Median Absolute Deviation (MAD)1
Skewness-0.8712697735
Sum9177
Variance2.66786027
MonotonicityNot monotonic
2025-02-26T17:41:52.828220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 509
 
12.2%
6 428
 
10.2%
5 297
 
7.1%
4 256
 
6.1%
3 111
 
2.7%
2 72
 
1.7%
1 60
 
1.4%
(Missing) 2450
58.6%
ValueCountFrequency (%)
1 60
 
1.4%
2 72
 
1.7%
3 111
 
2.7%
4 256
6.1%
5 297
7.1%
ValueCountFrequency (%)
7 509
12.2%
6 428
10.2%
5 297
7.1%
4 256
6.1%
3 111
 
2.7%

w1_B02_16
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2453
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean4.997687861
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.864054image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7570795
Coefficient of variation (CV)0.3515784797
Kurtosis-0.4836172497
Mean4.997687861
Median Absolute Deviation (MAD)1
Skewness-0.6644627508
Sum8646
Variance3.08732837
MonotonicityNot monotonic
2025-02-26T17:41:52.899282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 427
 
10.2%
6 382
 
9.1%
5 310
 
7.4%
4 266
 
6.4%
3 152
 
3.6%
2 102
 
2.4%
1 91
 
2.2%
(Missing) 2453
58.6%
ValueCountFrequency (%)
1 91
 
2.2%
2 102
 
2.4%
3 152
3.6%
4 266
6.4%
5 310
7.4%
ValueCountFrequency (%)
7 427
10.2%
6 382
9.1%
5 310
7.4%
4 266
6.4%
3 152
 
3.6%

w1_B02_17
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2448
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean6.07204611
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:52.934497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.414212387
Coefficient of variation (CV)0.2329054098
Kurtosis2.655944852
Mean6.07204611
Median Absolute Deviation (MAD)0
Skewness-1.751687824
Sum10535
Variance1.999996676
MonotonicityNot monotonic
2025-02-26T17:41:52.970885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 996
23.8%
6 320
 
7.7%
5 187
 
4.5%
4 110
 
2.6%
3 59
 
1.4%
1 35
 
0.8%
2 28
 
0.7%
(Missing) 2448
58.5%
ValueCountFrequency (%)
1 35
 
0.8%
2 28
 
0.7%
3 59
 
1.4%
4 110
2.6%
5 187
4.5%
ValueCountFrequency (%)
7 996
23.8%
6 320
 
7.7%
5 187
 
4.5%
4 110
 
2.6%
3 59
 
1.4%

w1_B02_18
Real number (ℝ)

Missing 

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

Distinct7
Distinct (%)0.4%
Missing2444
Missing (%)58.4%
Infinite0
Infinite (%)0.0%
Mean5.824611846
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.006338image/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 deviation1.453440546
Coefficient of variation (CV)0.2495343182
Kurtosis1.531168005
Mean5.824611846
Median Absolute Deviation (MAD)1
Skewness-1.386032458
Sum10129
Variance2.112489421
MonotonicityNot monotonic
2025-02-26T17:41:53.042708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 782
 
18.7%
6 407
 
9.7%
5 256
 
6.1%
4 162
 
3.9%
3 58
 
1.4%
1 37
 
0.9%
2 37
 
0.9%
(Missing) 2444
58.4%
ValueCountFrequency (%)
1 37
 
0.9%
2 37
 
0.9%
3 58
 
1.4%
4 162
3.9%
5 256
6.1%
ValueCountFrequency (%)
7 782
18.7%
6 407
9.7%
5 256
 
6.1%
4 162
 
3.9%
3 58
 
1.4%

w1_B02JLU_1
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_2
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_3
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_4
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_5
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_6
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_7
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_8
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_9
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_10
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_11
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_12
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_13
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_14
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_15
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_16
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_17
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_B02JLU_18
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 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

Distinct42
Distinct (%)4.7%
Missing3294
Missing (%)78.7%
Infinite0
Infinite (%)0.0%
Mean8.557930259
Minimum0
Maximum99
Zeros238
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.088667image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q38
95-th percentile41.2
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation16.29552758
Coefficient of variation (CV)1.904143536
Kurtosis15.87156196
Mean8.557930259
Median Absolute Deviation (MAD)4
Skewness3.842589873
Sum7608
Variance265.5442191
MonotonicityNot monotonic
2025-02-26T17:41:53.139368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 238
 
5.7%
6 74
 
1.8%
5 63
 
1.5%
1 60
 
1.4%
7 57
 
1.4%
10 52
 
1.2%
8 52
 
1.2%
4 47
 
1.1%
3 46
 
1.1%
2 45
 
1.1%
Other values (32) 155
 
3.7%
(Missing) 3294
78.7%
ValueCountFrequency (%)
0 238
5.7%
1 60
 
1.4%
2 45
 
1.1%
3 46
 
1.1%
4 47
 
1.1%
ValueCountFrequency (%)
99 10
0.2%
90 6
0.1%
85 1
 
< 0.1%
80 2
 
< 0.1%
75 1
 
< 0.1%

w1_C01_2
Real number (ℝ)

Missing  Zeros 

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

Distinct32
Distinct (%)4.1%
Missing3394
Missing (%)81.1%
Infinite0
Infinite (%)0.0%
Mean4.144486692
Minimum0
Maximum99
Zeros441
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.188328image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile20
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.3620354
Coefficient of variation (CV)2.741481935
Kurtosis32.34361852
Mean4.144486692
Median Absolute Deviation (MAD)0
Skewness5.285484151
Sum3270
Variance129.0958484
MonotonicityNot monotonic
2025-02-26T17:41:53.234904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 441
 
10.5%
1 67
 
1.6%
2 39
 
0.9%
5 37
 
0.9%
3 33
 
0.8%
4 30
 
0.7%
10 26
 
0.6%
6 23
 
0.5%
20 15
 
0.4%
8 13
 
0.3%
Other values (22) 65
 
1.6%
(Missing) 3394
81.1%
ValueCountFrequency (%)
0 441
10.5%
1 67
 
1.6%
2 39
 
0.9%
3 33
 
0.8%
4 30
 
0.7%
ValueCountFrequency (%)
99 2
< 0.1%
90 2
< 0.1%
80 1
 
< 0.1%
75 2
< 0.1%
70 3
0.1%

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

Distinct26
Distinct (%)3.4%
Missing3428
Missing (%)82.0%
Infinite0
Infinite (%)0.0%
Mean2.671523179
Minimum0
Maximum99
Zeros512
Zeros (%)12.2%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.279773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation9.34744449
Coefficient of variation (CV)3.49891948
Kurtosis60.91025279
Mean2.671523179
Median Absolute Deviation (MAD)0
Skewness7.111181519
Sum2017
Variance87.3747185
MonotonicityNot monotonic
2025-02-26T17:41:53.325096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 512
 
12.2%
1 54
 
1.3%
2 37
 
0.9%
5 27
 
0.6%
3 27
 
0.6%
10 16
 
0.4%
7 15
 
0.4%
4 14
 
0.3%
6 9
 
0.2%
8 9
 
0.2%
Other values (16) 35
 
0.8%
(Missing) 3428
82.0%
ValueCountFrequency (%)
0 512
12.2%
1 54
 
1.3%
2 37
 
0.9%
3 27
 
0.6%
4 14
 
0.3%
ValueCountFrequency (%)
99 3
0.1%
90 1
 
< 0.1%
70 1
 
< 0.1%
50 3
0.1%
46 1
 
< 0.1%

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

Distinct37
Distinct (%)4.8%
Missing3410
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean4.816300129
Minimum0
Maximum99
Zeros476
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.371471image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile22.8
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation13.55271394
Coefficient of variation (CV)2.813926371
Kurtosis25.47758142
Mean4.816300129
Median Absolute Deviation (MAD)0
Skewness4.771686006
Sum3723
Variance183.6760552
MonotonicityNot monotonic
2025-02-26T17:41:53.419765image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 476
 
11.4%
1 47
 
1.1%
5 31
 
0.7%
4 23
 
0.5%
10 22
 
0.5%
3 20
 
0.5%
8 19
 
0.5%
2 19
 
0.5%
7 19
 
0.5%
6 18
 
0.4%
Other values (27) 79
 
1.9%
(Missing) 3410
81.5%
ValueCountFrequency (%)
0 476
11.4%
1 47
 
1.1%
2 19
 
0.5%
3 20
 
0.5%
4 23
 
0.5%
ValueCountFrequency (%)
99 4
0.1%
98 1
 
< 0.1%
90 4
0.1%
80 1
 
< 0.1%
75 1
 
< 0.1%

w1_C02_1
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2643
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean4.293506494
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.459278image/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 deviation1.011735899
Coefficient of variation (CV)0.2356432674
Kurtosis1.226418913
Mean4.293506494
Median Absolute Deviation (MAD)0
Skewness-1.39974672
Sum6612
Variance1.023609529
MonotonicityNot monotonic
2025-02-26T17:41:53.499118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 904
 
21.6%
4 327
 
7.8%
3 199
 
4.8%
2 77
 
1.8%
1 33
 
0.8%
(Missing) 2643
63.2%
ValueCountFrequency (%)
1 33
 
0.8%
2 77
 
1.8%
3 199
 
4.8%
4 327
 
7.8%
5 904
21.6%
ValueCountFrequency (%)
5 904
21.6%
4 327
 
7.8%
3 199
 
4.8%
2 77
 
1.8%
1 33
 
0.8%

w1_C02_2
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2645
Missing (%)63.2%
Infinite0
Infinite (%)0.0%
Mean3.965539662
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.538120image/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 deviation1.120337109
Coefficient of variation (CV)0.2825181955
Kurtosis-0.111583892
Mean3.965539662
Median Absolute Deviation (MAD)1
Skewness-0.8883412153
Sum6099
Variance1.255155239
MonotonicityNot monotonic
2025-02-26T17:41:53.579156image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 645
 
15.4%
4 439
 
10.5%
3 260
 
6.2%
2 144
 
3.4%
1 50
 
1.2%
(Missing) 2645
63.2%
ValueCountFrequency (%)
1 50
 
1.2%
2 144
 
3.4%
3 260
6.2%
4 439
10.5%
5 645
15.4%
ValueCountFrequency (%)
5 645
15.4%
4 439
10.5%
3 260
6.2%
2 144
 
3.4%
1 50
 
1.2%

w1_C02_3
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2652
Missing (%)63.4%
Infinite0
Infinite (%)0.0%
Mean3.557152188
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.618826image/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 deviation1.223342999
Coefficient of variation (CV)0.3439107844
Kurtosis-0.8262879471
Mean3.557152188
Median Absolute Deviation (MAD)1
Skewness-0.4393236803
Sum5446
Variance1.496568094
MonotonicityNot monotonic
2025-02-26T17:41:53.658573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 432
 
10.3%
4 416
 
9.9%
3 353
 
8.4%
2 233
 
5.6%
1 97
 
2.3%
(Missing) 2652
63.4%
ValueCountFrequency (%)
1 97
 
2.3%
2 233
5.6%
3 353
8.4%
4 416
9.9%
5 432
10.3%
ValueCountFrequency (%)
5 432
10.3%
4 416
9.9%
3 353
8.4%
2 233
5.6%
1 97
 
2.3%

w1_C02_4
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2648
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean2.995439739
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.698840image/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 deviation1.512436079
Coefficient of variation (CV)0.5049128711
Kurtosis-1.455033763
Mean2.995439739
Median Absolute Deviation (MAD)1
Skewness-0.01150800233
Sum4598
Variance2.287462893
MonotonicityNot monotonic
2025-02-26T17:41:53.739973image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 379
 
9.1%
5 362
 
8.7%
4 286
 
6.8%
2 259
 
6.2%
3 249
 
6.0%
(Missing) 2648
63.3%
ValueCountFrequency (%)
1 379
9.1%
2 259
6.2%
3 249
6.0%
4 286
6.8%
5 362
8.7%
ValueCountFrequency (%)
5 362
8.7%
4 286
6.8%
3 249
6.0%
2 259
6.2%
1 379
9.1%

w1_C02_5
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2648
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean3.439087948
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.781020image/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 deviation1.194853895
Coefficient of variation (CV)0.347433364
Kurtosis-0.7618735893
Mean3.439087948
Median Absolute Deviation (MAD)1
Skewness-0.358472089
Sum5279
Variance1.42767583
MonotonicityNot monotonic
2025-02-26T17:41:53.820688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 438
 
10.5%
3 411
 
9.8%
5 344
 
8.2%
2 232
 
5.5%
1 110
 
2.6%
(Missing) 2648
63.3%
ValueCountFrequency (%)
1 110
 
2.6%
2 232
5.5%
3 411
9.8%
4 438
10.5%
5 344
8.2%
ValueCountFrequency (%)
5 344
8.2%
4 438
10.5%
3 411
9.8%
2 232
5.5%
1 110
 
2.6%

w1_C02_6
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2649
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean3.514993481
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.860500image/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 deviation1.165148154
Coefficient of variation (CV)0.3314794638
Kurtosis-0.6752878587
Mean3.514993481
Median Absolute Deviation (MAD)1
Skewness-0.419073193
Sum5392
Variance1.357570222
MonotonicityNot monotonic
2025-02-26T17:41:53.900898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 469
 
11.2%
3 396
 
9.5%
5 360
 
8.6%
2 219
 
5.2%
1 90
 
2.2%
(Missing) 2649
63.3%
ValueCountFrequency (%)
1 90
 
2.2%
2 219
5.2%
3 396
9.5%
4 469
11.2%
5 360
8.6%
ValueCountFrequency (%)
5 360
8.6%
4 469
11.2%
3 396
9.5%
2 219
5.2%
1 90
 
2.2%

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 (%)0.3%
Missing2648
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean3.900977199
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:53.939829image/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 deviation1.045555732
Coefficient of variation (CV)0.2680240562
Kurtosis0.06443038535
Mean3.900977199
Median Absolute Deviation (MAD)1
Skewness-0.8054219795
Sum5988
Variance1.093186789
MonotonicityNot monotonic
2025-02-26T17:41:53.980479image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 546
 
13.1%
5 521
 
12.5%
3 307
 
7.3%
2 117
 
2.8%
1 44
 
1.1%
(Missing) 2648
63.3%
ValueCountFrequency (%)
1 44
 
1.1%
2 117
 
2.8%
3 307
7.3%
4 546
13.1%
5 521
12.5%
ValueCountFrequency (%)
5 521
12.5%
4 546
13.1%
3 307
7.3%
2 117
 
2.8%
1 44
 
1.1%

w1_C02_8
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2651
Missing (%)63.4%
Infinite0
Infinite (%)0.0%
Mean3.526762402
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.019935image/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 deviation1.26602149
Coefficient of variation (CV)0.3589755547
Kurtosis-0.7734331943
Mean3.526762402
Median Absolute Deviation (MAD)1
Skewness-0.50885615
Sum5403
Variance1.602810412
MonotonicityNot monotonic
2025-02-26T17:41:54.060242image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 433
 
10.4%
5 424
 
10.1%
3 339
 
8.1%
2 198
 
4.7%
1 138
 
3.3%
(Missing) 2651
63.4%
ValueCountFrequency (%)
1 138
 
3.3%
2 198
4.7%
3 339
8.1%
4 433
10.4%
5 424
10.1%
ValueCountFrequency (%)
5 424
10.1%
4 433
10.4%
3 339
8.1%
2 198
4.7%
1 138
 
3.3%

w1_C02_9
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2651
Missing (%)63.4%
Infinite0
Infinite (%)0.0%
Mean3.875326371
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.099193image/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 deviation1.183709183
Coefficient of variation (CV)0.3054476114
Kurtosis-0.1957603573
Mean3.875326371
Median Absolute Deviation (MAD)1
Skewness-0.8532010701
Sum5937
Variance1.401167431
MonotonicityNot monotonic
2025-02-26T17:41:54.139945image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 608
 
14.5%
4 424
 
10.1%
3 283
 
6.8%
2 135
 
3.2%
1 82
 
2.0%
(Missing) 2651
63.4%
ValueCountFrequency (%)
1 82
 
2.0%
2 135
 
3.2%
3 283
6.8%
4 424
10.1%
5 608
14.5%
ValueCountFrequency (%)
5 608
14.5%
4 424
10.1%
3 283
6.8%
2 135
 
3.2%
1 82
 
2.0%

w1_C02_10
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2655
Missing (%)63.5%
Infinite0
Infinite (%)0.0%
Mean3.341623037
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.181752image/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 deviation1.337013448
Coefficient of variation (CV)0.400108999
Kurtosis-1.078059368
Mean3.341623037
Median Absolute Deviation (MAD)1
Skewness-0.2904051346
Sum5106
Variance1.787604961
MonotonicityNot monotonic
2025-02-26T17:41:54.221661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 396
 
9.5%
3 357
 
8.5%
4 344
 
8.2%
2 248
 
5.9%
1 183
 
4.4%
(Missing) 2655
63.5%
ValueCountFrequency (%)
1 183
4.4%
2 248
5.9%
3 357
8.5%
4 344
8.2%
5 396
9.5%
ValueCountFrequency (%)
5 396
9.5%
4 344
8.2%
3 357
8.5%
2 248
5.9%
1 183
4.4%

w1_C02_11
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2651
Missing (%)63.4%
Infinite0
Infinite (%)0.0%
Mean3.392950392
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.261603image/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 deviation1.36711491
Coefficient of variation (CV)0.4029280574
Kurtosis-1.026872751
Mean3.392950392
Median Absolute Deviation (MAD)1
Skewness-0.4090726162
Sum5198
Variance1.869003177
MonotonicityNot monotonic
2025-02-26T17:41:54.301105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 423
 
10.1%
4 369
 
8.8%
3 339
 
8.1%
1 212
 
5.1%
2 189
 
4.5%
(Missing) 2651
63.4%
ValueCountFrequency (%)
1 212
5.1%
2 189
4.5%
3 339
8.1%
4 369
8.8%
5 423
10.1%
ValueCountFrequency (%)
5 423
10.1%
4 369
8.8%
3 339
8.1%
2 189
4.5%
1 212
5.1%

w1_C02_12
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2650
Missing (%)63.4%
Infinite0
Infinite (%)0.0%
Mean3.679060665
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.340126image/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 deviation1.321171707
Coefficient of variation (CV)0.3591057139
Kurtosis-0.6773455094
Mean3.679060665
Median Absolute Deviation (MAD)1
Skewness-0.7013661341
Sum5640
Variance1.745494678
MonotonicityNot monotonic
2025-02-26T17:41:54.443056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 553
 
13.2%
4 401
 
9.6%
3 264
 
6.3%
2 164
 
3.9%
1 151
 
3.6%
(Missing) 2650
63.4%
ValueCountFrequency (%)
1 151
 
3.6%
2 164
 
3.9%
3 264
6.3%
4 401
9.6%
5 553
13.2%
ValueCountFrequency (%)
5 553
13.2%
4 401
9.6%
3 264
6.3%
2 164
 
3.9%
1 151
 
3.6%

w1_D01
Real number (ℝ)

Missing  Skewed  Zeros 

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

Distinct60
Distinct (%)4.6%
Missing2865
Missing (%)68.5%
Infinite0
Infinite (%)0.0%
Mean7587253452
Minimum0
Maximum1 × 1013
Zeros51
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.493547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q310
95-th percentile50
Maximum1 × 1013
Range1 × 1013
Interquartile range (IQR)7

Descriptive statistics

Standard deviation2.754496944 × 1011
Coefficient of variation (CV)36.30426954
Kurtosis1318
Mean7587253452
Median Absolute Deviation (MAD)3
Skewness36.30426972
Sum1.000000005 × 1013
Variance7.587253414 × 1022
MonotonicityNot monotonic
2025-02-26T17:41:54.546904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 236
 
5.6%
10 184
 
4.4%
3 131
 
3.1%
4 115
 
2.7%
2 110
 
2.6%
20 63
 
1.5%
6 58
 
1.4%
1 56
 
1.3%
15 53
 
1.3%
0 51
 
1.2%
Other values (50) 261
 
6.2%
(Missing) 2865
68.5%
ValueCountFrequency (%)
0 51
 
1.2%
1 56
1.3%
2 110
2.6%
3 131
3.1%
4 115
2.7%
ValueCountFrequency (%)
10000000000000 1
 
< 0.1%
10000 3
0.1%
5000 1
 
< 0.1%
250 1
 
< 0.1%
201 1
 
< 0.1%

w1_D02
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2565
Missing (%)61.3%
Infinite0
Infinite (%)0.0%
Mean1.703337454
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.590084image/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 deviation0.4569276941
Coefficient of variation (CV)0.2682543574
Kurtosis-1.207395967
Mean1.703337454
Median Absolute Deviation (MAD)0
Skewness-0.8911217751
Sum2756
Variance0.2087829176
MonotonicityNot monotonic
2025-02-26T17:41:54.627055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1138
27.2%
1 480
 
11.5%
(Missing) 2565
61.3%
ValueCountFrequency (%)
1 480
11.5%
2 1138
27.2%
ValueCountFrequency (%)
2 1138
27.2%
1 480
11.5%

w1_D03
Real number (ℝ)

Missing  Skewed 

How many informal study groups do you participate in?

Distinct12
Distinct (%)2.7%
Missing3742
Missing (%)89.5%
Infinite0
Infinite (%)0.0%
Mean3.757369615
Minimum1
Maximum610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.663732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum610
Range609
Interquartile range (IQR)2

Descriptive statistics

Standard deviation29.0138305
Coefficient of variation (CV)7.721846259
Kurtosis436.1527144
Mean3.757369615
Median Absolute Deviation (MAD)1
Skewness20.82877965
Sum1657
Variance841.8023603
MonotonicityNot monotonic
2025-02-26T17:41:54.701768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 177
 
4.2%
2 124
 
3.0%
3 72
 
1.7%
4 23
 
0.5%
5 21
 
0.5%
10 8
 
0.2%
6 7
 
0.2%
7 4
 
0.1%
8 2
 
< 0.1%
20 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 3742
89.5%
ValueCountFrequency (%)
1 177
4.2%
2 124
3.0%
3 72
1.7%
4 23
 
0.5%
5 21
 
0.5%
ValueCountFrequency (%)
610 1
 
< 0.1%
23 1
 
< 0.1%
20 1
 
< 0.1%
10 8
0.2%
8 2
 
< 0.1%

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

Distinct56
Distinct (%)12.9%
Missing3750
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean65.75981524
Minimum1
Maximum17000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.747942image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q312
95-th percentile69.4
Maximum17000
Range16999
Interquartile range (IQR)8

Descriptive statistics

Standard deviation830.6143267
Coefficient of variation (CV)12.63103194
Kurtosis402.8696415
Mean65.75981524
Median Absolute Deviation (MAD)2
Skewness19.81339568
Sum28474
Variance689920.1598
MonotonicityNot monotonic
2025-02-26T17:41:54.799393image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 69
 
1.6%
5 58
 
1.4%
3 48
 
1.1%
10 35
 
0.8%
6 25
 
0.6%
2 25
 
0.6%
20 24
 
0.6%
7 20
 
0.5%
1 18
 
0.4%
8 11
 
0.3%
Other values (46) 100
 
2.4%
(Missing) 3750
89.6%
ValueCountFrequency (%)
1 18
 
0.4%
2 25
 
0.6%
3 48
1.1%
4 69
1.6%
5 58
1.4%
ValueCountFrequency (%)
17000 1
< 0.1%
3000 1
< 0.1%
998 1
< 0.1%
500 1
< 0.1%
450 1
< 0.1%

w1_D05
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)1.3%
Missing3737
Missing (%)89.3%
Infinite0
Infinite (%)0.0%
Mean2.946188341
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.843714image/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 deviation1.865541172
Coefficient of variation (CV)0.6332049946
Kurtosis-1.120934908
Mean2.946188341
Median Absolute Deviation (MAD)1
Skewness0.5771753117
Sum1314
Variance3.480243866
MonotonicityNot monotonic
2025-02-26T17:41:54.883356image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 134
 
3.2%
2 101
 
2.4%
6 89
 
2.1%
3 61
 
1.5%
4 44
 
1.1%
5 17
 
0.4%
(Missing) 3737
89.3%
ValueCountFrequency (%)
1 134
3.2%
2 101
2.4%
3 61
1.5%
4 44
 
1.1%
5 17
 
0.4%
ValueCountFrequency (%)
6 89
2.1%
5 17
 
0.4%
4 44
1.1%
3 61
1.5%
2 101
2.4%

w1_E01_1
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2679
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean54.67220745
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.921807image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median99
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)95

Descriptive statistics

Standard deviation47.59589122
Coefficient of variation (CV)0.8705683096
Kurtosis-1.980589489
Mean54.67220745
Median Absolute Deviation (MAD)0
Skewness-0.1426973178
Sum82227
Variance2265.368861
MonotonicityNot monotonic
2025-02-26T17:41:54.958787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 805
 
19.2%
5 300
 
7.2%
3 131
 
3.1%
2 113
 
2.7%
4 86
 
2.1%
1 69
 
1.6%
(Missing) 2679
64.0%
ValueCountFrequency (%)
1 69
 
1.6%
2 113
 
2.7%
3 131
3.1%
4 86
 
2.1%
5 300
7.2%
ValueCountFrequency (%)
99 805
19.2%
5 300
 
7.2%
4 86
 
2.1%
3 131
 
3.1%
2 113
 
2.7%

w1_E01_2
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2675
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean35.91777188
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:54.996002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)96

Descriptive statistics

Standard deviation45.12504049
Coefficient of variation (CV)1.256342978
Kurtosis-1.53309092
Mean35.91777188
Median Absolute Deviation (MAD)3
Skewness0.6825459503
Sum54164
Variance2036.269279
MonotonicityNot monotonic
2025-02-26T17:41:55.033758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 510
 
12.2%
5 453
 
10.8%
3 163
 
3.9%
4 135
 
3.2%
2 133
 
3.2%
1 114
 
2.7%
(Missing) 2675
63.9%
ValueCountFrequency (%)
1 114
 
2.7%
2 133
 
3.2%
3 163
 
3.9%
4 135
 
3.2%
5 453
10.8%
ValueCountFrequency (%)
99 510
12.2%
5 453
10.8%
4 135
 
3.2%
3 163
 
3.9%
2 133
 
3.2%

w1_E01_3
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2683
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean33.79866667
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.070657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)96

Descriptive statistics

Standard deviation44.75731907
Coefficient of variation (CV)1.324233275
Kurtosis-1.405331444
Mean33.79866667
Median Absolute Deviation (MAD)2
Skewness0.7704079631
Sum50698
Variance2003.21761
MonotonicityNot monotonic
2025-02-26T17:41:55.109067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 480
 
11.5%
5 231
 
5.5%
3 222
 
5.3%
2 211
 
5.0%
4 193
 
4.6%
1 163
 
3.9%
(Missing) 2683
64.1%
ValueCountFrequency (%)
1 163
3.9%
2 211
5.0%
3 222
5.3%
4 193
4.6%
5 231
5.5%
ValueCountFrequency (%)
99 480
11.5%
5 231
5.5%
4 193
4.6%
3 222
5.3%
2 211
5.0%

w1_E01_4
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2671
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean4.60978836
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.149649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation16.5682068
Coefficient of variation (CV)3.594136109
Kurtosis28.49312209
Mean4.60978836
Median Absolute Deviation (MAD)0
Skewness5.507330438
Sum6970
Variance274.5054766
MonotonicityNot monotonic
2025-02-26T17:41:55.190755image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 850
 
20.3%
2 334
 
8.0%
3 182
 
4.4%
4 54
 
1.3%
5 47
 
1.1%
99 45
 
1.1%
(Missing) 2671
63.9%
ValueCountFrequency (%)
1 850
20.3%
2 334
 
8.0%
3 182
 
4.4%
4 54
 
1.3%
5 47
 
1.1%
ValueCountFrequency (%)
99 45
 
1.1%
5 47
 
1.1%
4 54
 
1.3%
3 182
4.4%
2 334
8.0%

w1_E01_5
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2672
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean15.51224355
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.228901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation33.85062164
Coefficient of variation (CV)2.18218735
Kurtosis2.258480336
Mean15.51224355
Median Absolute Deviation (MAD)0
Skewness2.060686177
Sum23439
Variance1145.864585
MonotonicityNot monotonic
2025-02-26T17:41:55.267165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 781
 
18.7%
2 239
 
5.7%
99 213
 
5.1%
3 110
 
2.6%
5 91
 
2.2%
4 77
 
1.8%
(Missing) 2672
63.9%
ValueCountFrequency (%)
1 781
18.7%
2 239
 
5.7%
3 110
 
2.6%
4 77
 
1.8%
5 91
 
2.2%
ValueCountFrequency (%)
99 213
5.1%
5 91
 
2.2%
4 77
 
1.8%
3 110
2.6%
2 239
5.7%

w1_E01_6
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2676
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean17.88586596
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.305442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)3

Descriptive statistics

Standard deviation34.63676406
Coefficient of variation (CV)1.936543869
Kurtosis1.675500672
Mean17.88586596
Median Absolute Deviation (MAD)1
Skewness1.913737026
Sum26954
Variance1199.705424
MonotonicityNot monotonic
2025-02-26T17:41:55.343635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 303
 
7.2%
3 271
 
6.5%
2 240
 
5.7%
4 239
 
5.7%
99 232
 
5.5%
1 222
 
5.3%
(Missing) 2676
64.0%
ValueCountFrequency (%)
1 222
5.3%
2 240
5.7%
3 271
6.5%
4 239
5.7%
5 303
7.2%
ValueCountFrequency (%)
99 232
5.5%
5 303
7.2%
4 239
5.7%
3 271
6.5%
2 240
5.7%

w1_E01_7
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2684
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean42.42761841
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.381759image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)96

Descriptive statistics

Standard deviation46.89014301
Coefficient of variation (CV)1.10517971
Kurtosis-1.857620624
Mean42.42761841
Median Absolute Deviation (MAD)3
Skewness0.3775759387
Sum63599
Variance2198.685512
MonotonicityNot monotonic
2025-02-26T17:41:55.418680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 610
 
14.6%
5 351
 
8.4%
3 174
 
4.2%
4 161
 
3.8%
1 118
 
2.8%
2 85
 
2.0%
(Missing) 2684
64.2%
ValueCountFrequency (%)
1 118
 
2.8%
2 85
 
2.0%
3 174
4.2%
4 161
3.8%
5 351
8.4%
ValueCountFrequency (%)
99 610
14.6%
5 351
8.4%
4 161
 
3.8%
3 174
 
4.2%
2 85
 
2.0%

w1_E01_8
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2684
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean66.29953302
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.455045image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median99
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)94

Descriptive statistics

Standard deviation45.22342185
Coefficient of variation (CV)0.682107698
Kurtosis-1.564319582
Mean66.29953302
Median Absolute Deviation (MAD)0
Skewness-0.6605236159
Sum99383
Variance2045.157884
MonotonicityNot monotonic
2025-02-26T17:41:55.493374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 984
 
23.5%
5 249
 
6.0%
4 83
 
2.0%
3 76
 
1.8%
2 55
 
1.3%
1 52
 
1.2%
(Missing) 2684
64.2%
ValueCountFrequency (%)
1 52
 
1.2%
2 55
 
1.3%
3 76
 
1.8%
4 83
 
2.0%
5 249
6.0%
ValueCountFrequency (%)
99 984
23.5%
5 249
 
6.0%
4 83
 
2.0%
3 76
 
1.8%
2 55
 
1.3%

w1_E01_9
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2687
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean76.17446524
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.530147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q199
median99
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.49046681
Coefficient of variation (CV)0.5315490786
Kurtosis-0.5328773274
Mean76.17446524
Median Absolute Deviation (MAD)0
Skewness-1.21108334
Sum113957
Variance1639.477903
MonotonicityNot monotonic
2025-02-26T17:41:55.568524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 1135
27.1%
5 268
 
6.4%
4 30
 
0.7%
3 24
 
0.6%
2 21
 
0.5%
1 18
 
0.4%
(Missing) 2687
64.2%
ValueCountFrequency (%)
1 18
 
0.4%
2 21
 
0.5%
3 24
 
0.6%
4 30
 
0.7%
5 268
6.4%
ValueCountFrequency (%)
99 1135
27.1%
5 268
 
6.4%
4 30
 
0.7%
3 24
 
0.6%
2 21
 
0.5%

w1_E01_10
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2683
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean49.34666667
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.605662image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)94

Descriptive statistics

Standard deviation47.34866157
Coefficient of variation (CV)0.9595108398
Kurtosis-1.992135591
Mean49.34666667
Median Absolute Deviation (MAD)4
Skewness0.09513235005
Sum74020
Variance2241.895753
MonotonicityNot monotonic
2025-02-26T17:41:55.643375image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 714
 
17.1%
5 511
 
12.2%
4 103
 
2.5%
3 74
 
1.8%
1 51
 
1.2%
2 47
 
1.1%
(Missing) 2683
64.1%
ValueCountFrequency (%)
1 51
 
1.2%
2 47
 
1.1%
3 74
 
1.8%
4 103
 
2.5%
5 511
12.2%
ValueCountFrequency (%)
99 714
17.1%
5 511
12.2%
4 103
 
2.5%
3 74
 
1.8%
2 47
 
1.1%

w1_E01_11
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2670
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean5.619960344
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.680344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.12392948
Coefficient of variation (CV)3.580795638
Kurtosis17.62222978
Mean5.619960344
Median Absolute Deviation (MAD)0
Skewness4.42287138
Sum8503
Variance404.9725378
MonotonicityNot monotonic
2025-02-26T17:41:55.719364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1235
29.5%
2 107
 
2.6%
99 67
 
1.6%
5 38
 
0.9%
4 33
 
0.8%
3 33
 
0.8%
(Missing) 2670
63.8%
ValueCountFrequency (%)
1 1235
29.5%
2 107
 
2.6%
3 33
 
0.8%
4 33
 
0.8%
5 38
 
0.9%
ValueCountFrequency (%)
99 67
1.6%
5 38
 
0.9%
4 33
 
0.8%
3 33
 
0.8%
2 107
2.6%

w1_E01_12
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2687
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean40.7092246
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.757966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)95

Descriptive statistics

Standard deviation46.28199526
Coefficient of variation (CV)1.136892086
Kurtosis-1.783249348
Mean40.7092246
Median Absolute Deviation (MAD)3
Skewness0.4654423711
Sum60901
Variance2142.023085
MonotonicityNot monotonic
2025-02-26T17:41:55.794864image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 578
 
13.8%
5 542
 
13.0%
4 118
 
2.8%
1 102
 
2.4%
3 83
 
2.0%
2 73
 
1.7%
(Missing) 2687
64.2%
ValueCountFrequency (%)
1 102
 
2.4%
2 73
 
1.7%
3 83
 
2.0%
4 118
 
2.8%
5 542
13.0%
ValueCountFrequency (%)
99 578
13.8%
5 542
13.0%
4 118
 
2.8%
3 83
 
2.0%
2 73
 
1.7%

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 (%)0.4%
Missing2677
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean50.61686587
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.831941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q15
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)94

Descriptive statistics

Standard deviation47.32535252
Coefficient of variation (CV)0.934972004
Kurtosis-1.999496843
Mean50.61686587
Median Absolute Deviation (MAD)4
Skewness0.04433868056
Sum76229
Variance2239.688991
MonotonicityNot monotonic
2025-02-26T17:41:55.869330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 736
 
17.6%
5 529
 
12.6%
4 109
 
2.6%
3 56
 
1.3%
2 40
 
1.0%
1 36
 
0.9%
(Missing) 2677
64.0%
ValueCountFrequency (%)
1 36
 
0.9%
2 40
 
1.0%
3 56
 
1.3%
4 109
 
2.6%
5 529
12.6%
ValueCountFrequency (%)
99 736
17.6%
5 529
12.6%
4 109
 
2.6%
3 56
 
1.3%
2 40
 
1.0%

w1_E01_14
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2688
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean28.20334448
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.905745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)96

Descriptive statistics

Standard deviation41.72789223
Coefficient of variation (CV)1.479537019
Kurtosis-0.770729442
Mean28.20334448
Median Absolute Deviation (MAD)2
Skewness1.106975867
Sum42164
Variance1741.21699
MonotonicityNot monotonic
2025-02-26T17:41:55.944238image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 463
 
11.1%
99 385
 
9.2%
4 226
 
5.4%
1 172
 
4.1%
3 160
 
3.8%
2 89
 
2.1%
(Missing) 2688
64.3%
ValueCountFrequency (%)
1 172
 
4.1%
2 89
 
2.1%
3 160
 
3.8%
4 226
5.4%
5 463
11.1%
ValueCountFrequency (%)
99 385
9.2%
5 463
11.1%
4 226
5.4%
3 160
 
3.8%
2 89
 
2.1%

w1_E01_15
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2683
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean42.84733333
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:55.980999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)97

Descriptive statistics

Standard deviation47.36001837
Coefficient of variation (CV)1.105320091
Kurtosis-1.882778455
Mean42.84733333
Median Absolute Deviation (MAD)4
Skewness0.3418379844
Sum64271
Variance2242.97134
MonotonicityNot monotonic
2025-02-26T17:41:56.018780image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 623
 
14.9%
5 274
 
6.6%
1 254
 
6.1%
2 163
 
3.9%
3 100
 
2.4%
4 86
 
2.1%
(Missing) 2683
64.1%
ValueCountFrequency (%)
1 254
6.1%
2 163
3.9%
3 100
 
2.4%
4 86
 
2.1%
5 274
6.6%
ValueCountFrequency (%)
99 623
14.9%
5 274
6.6%
4 86
 
2.1%
3 100
 
2.4%
2 163
 
3.9%

w1_E01_16
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2684
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean77.61374249
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.055231image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q199
median99
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.57757046
Coefficient of variation (CV)0.5099299323
Kurtosis-0.2799862055
Mean77.61374249
Median Absolute Deviation (MAD)0
Skewness-1.311212677
Sum116343
Variance1566.384083
MonotonicityNot monotonic
2025-02-26T17:41:56.093574image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 1160
27.7%
5 257
 
6.1%
3 26
 
0.6%
4 22
 
0.5%
2 18
 
0.4%
1 16
 
0.4%
(Missing) 2684
64.2%
ValueCountFrequency (%)
1 16
 
0.4%
2 18
 
0.4%
3 26
 
0.6%
4 22
 
0.5%
5 257
6.1%
ValueCountFrequency (%)
99 1160
27.7%
5 257
 
6.1%
4 22
 
0.5%
3 26
 
0.6%
2 18
 
0.4%

w1_E01_17
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2685
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean80.54405874
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.131764image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q199
median99
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.4426624
Coefficient of variation (CV)0.4648718103
Kurtosis0.3631924768
Mean80.54405874
Median Absolute Deviation (MAD)0
Skewness-1.536851846
Sum120655
Variance1401.952967
MonotonicityNot monotonic
2025-02-26T17:41:56.170208image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 1205
28.8%
5 247
 
5.9%
3 16
 
0.4%
4 12
 
0.3%
2 11
 
0.3%
1 7
 
0.2%
(Missing) 2685
64.2%
ValueCountFrequency (%)
1 7
 
0.2%
2 11
 
0.3%
3 16
 
0.4%
4 12
 
0.3%
5 247
5.9%
ValueCountFrequency (%)
99 1205
28.8%
5 247
 
5.9%
4 12
 
0.3%
3 16
 
0.4%
2 11
 
0.3%

w1_E01_18
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2685
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean80.15353805
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.209500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q199
median99
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.75539782
Coefficient of variation (CV)0.4710384437
Kurtosis0.2668102833
Mean80.15353805
Median Absolute Deviation (MAD)0
Skewness-1.505171023
Sum120070
Variance1425.470064
MonotonicityNot monotonic
2025-02-26T17:41:56.247787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 1199
28.7%
5 245
 
5.9%
3 19
 
0.5%
2 13
 
0.3%
4 13
 
0.3%
1 9
 
0.2%
(Missing) 2685
64.2%
ValueCountFrequency (%)
1 9
 
0.2%
2 13
 
0.3%
3 19
 
0.5%
4 13
 
0.3%
5 245
5.9%
ValueCountFrequency (%)
99 1199
28.7%
5 245
 
5.9%
4 13
 
0.3%
3 19
 
0.5%
2 13
 
0.3%

w1_E01_19
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)0.4%
Missing2681
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean78.03728362
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.285111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q199
median99
Q399
95-th percentile99
Maximum99
Range98
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.29351034
Coefficient of variation (CV)0.5035222719
Kurtosis-0.1981068172
Mean78.03728362
Median Absolute Deviation (MAD)0
Skewness-1.341989981
Sum117212
Variance1543.979955
MonotonicityNot monotonic
2025-02-26T17:41:56.324051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
99 1169
27.9%
5 262
 
6.3%
1 21
 
0.5%
3 20
 
0.5%
2 15
 
0.4%
4 15
 
0.4%
(Missing) 2681
64.1%
ValueCountFrequency (%)
1 21
 
0.5%
2 15
 
0.4%
3 20
 
0.5%
4 15
 
0.4%
5 262
6.3%
ValueCountFrequency (%)
99 1169
27.9%
5 262
 
6.3%
4 15
 
0.4%
3 20
 
0.5%
2 15
 
0.4%

w1_E01JLU_1
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_2
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_3
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_4
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_5
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_6
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_7
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_8
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_9
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_10
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_11
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_12
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_13
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_14
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_15
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_16
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_17
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_18
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_19
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_20
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_21
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_22
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_23
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E01JLU_24
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_E02_1
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2674
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean3.579191518
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.361279image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.050384107
Coefficient of variation (CV)0.2934696571
Kurtosis-0.2696875633
Mean3.579191518
Median Absolute Deviation (MAD)1
Skewness-0.4401239475
Sum5401
Variance1.103306773
MonotonicityNot monotonic
2025-02-26T17:41:56.402027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 503
 
12.0%
3 482
 
11.5%
5 319
 
7.6%
2 143
 
3.4%
1 62
 
1.5%
(Missing) 2674
63.9%
ValueCountFrequency (%)
1 62
 
1.5%
2 143
 
3.4%
3 482
11.5%
4 503
12.0%
5 319
7.6%
ValueCountFrequency (%)
5 319
7.6%
4 503
12.0%
3 482
11.5%
2 143
 
3.4%
1 62
 
1.5%

w1_E02_2
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2680
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean3.677977379
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.441504image/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 deviation1.155701737
Coefficient of variation (CV)0.3142220896
Kurtosis-0.3446262998
Mean3.677977379
Median Absolute Deviation (MAD)1
Skewness-0.643401355
Sum5528
Variance1.335646505
MonotonicityNot monotonic
2025-02-26T17:41:56.482097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 482
 
11.5%
5 429
 
10.3%
3 360
 
8.6%
2 143
 
3.4%
1 89
 
2.1%
(Missing) 2680
64.1%
ValueCountFrequency (%)
1 89
 
2.1%
2 143
 
3.4%
3 360
8.6%
4 482
11.5%
5 429
10.3%
ValueCountFrequency (%)
5 429
10.3%
4 482
11.5%
3 360
8.6%
2 143
 
3.4%
1 89
 
2.1%

w1_E02_3
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2680
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean3.664670659
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.586756image/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 deviation1.175366904
Coefficient of variation (CV)0.3207292041
Kurtosis-0.4674557629
Mean3.664670659
Median Absolute Deviation (MAD)1
Skewness-0.6125338393
Sum5508
Variance1.381487358
MonotonicityNot monotonic
2025-02-26T17:41:56.626126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 465
 
11.1%
5 438
 
10.5%
3 348
 
8.3%
2 162
 
3.9%
1 90
 
2.2%
(Missing) 2680
64.1%
ValueCountFrequency (%)
1 90
 
2.2%
2 162
 
3.9%
3 348
8.3%
4 465
11.1%
5 438
10.5%
ValueCountFrequency (%)
5 438
10.5%
4 465
11.1%
3 348
8.3%
2 162
 
3.9%
1 90
 
2.2%

w1_E02_4
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2682
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean3.848767488
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.665467image/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 deviation1.097472921
Coefficient of variation (CV)0.2851491873
Kurtosis0.05636402786
Mean3.848767488
Median Absolute Deviation (MAD)1
Skewness-0.8373827167
Sum5777
Variance1.204446813
MonotonicityNot monotonic
2025-02-26T17:41:56.706207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 532
 
12.7%
5 495
 
11.8%
3 290
 
6.9%
2 120
 
2.9%
1 64
 
1.5%
(Missing) 2682
64.1%
ValueCountFrequency (%)
1 64
 
1.5%
2 120
 
2.9%
3 290
6.9%
4 532
12.7%
5 495
11.8%
ValueCountFrequency (%)
5 495
11.8%
4 532
12.7%
3 290
6.9%
2 120
 
2.9%
1 64
 
1.5%

w1_E02_5
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2673
Missing (%)63.9%
Infinite0
Infinite (%)0.0%
Mean3.994701987
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.746745image/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 deviation1.095795209
Coefficient of variation (CV)0.2743121297
Kurtosis0.4732112059
Mean3.994701987
Median Absolute Deviation (MAD)1
Skewness-1.045537148
Sum6032
Variance1.200767141
MonotonicityNot monotonic
2025-02-26T17:41:56.787119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 619
 
14.8%
4 481
 
11.5%
3 259
 
6.2%
2 85
 
2.0%
1 66
 
1.6%
(Missing) 2673
63.9%
ValueCountFrequency (%)
1 66
 
1.6%
2 85
 
2.0%
3 259
6.2%
4 481
11.5%
5 619
14.8%
ValueCountFrequency (%)
5 619
14.8%
4 481
11.5%
3 259
6.2%
2 85
 
2.0%
1 66
 
1.6%

w1_E02_6
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2682
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean3.700866089
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.826835image/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 deviation1.164671305
Coefficient of variation (CV)0.3147023635
Kurtosis-0.3690596947
Mean3.700866089
Median Absolute Deviation (MAD)1
Skewness-0.6511022805
Sum5555
Variance1.356459249
MonotonicityNot monotonic
2025-02-26T17:41:56.866853image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 459
 
11.0%
5 455
 
10.9%
3 358
 
8.6%
2 141
 
3.4%
1 88
 
2.1%
(Missing) 2682
64.1%
ValueCountFrequency (%)
1 88
 
2.1%
2 141
 
3.4%
3 358
8.6%
4 459
11.0%
5 455
10.9%
ValueCountFrequency (%)
5 455
10.9%
4 459
11.0%
3 358
8.6%
2 141
 
3.4%
1 88
 
2.1%

w1_E02_7
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2686
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean3.928523714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.906372image/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 deviation1.104000999
Coefficient of variation (CV)0.2810218494
Kurtosis0.08626306669
Mean3.928523714
Median Absolute Deviation (MAD)1
Skewness-0.8881660306
Sum5881
Variance1.218818207
MonotonicityNot monotonic
2025-02-26T17:41:56.947447image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 577
 
13.8%
4 461
 
11.0%
3 294
 
7.0%
2 105
 
2.5%
1 60
 
1.4%
(Missing) 2686
64.2%
ValueCountFrequency (%)
1 60
 
1.4%
2 105
 
2.5%
3 294
7.0%
4 461
11.0%
5 577
13.8%
ValueCountFrequency (%)
5 577
13.8%
4 461
11.0%
3 294
7.0%
2 105
 
2.5%
1 60
 
1.4%

w1_E02_8
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2680
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean3.554224884
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:56.987113image/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 deviation1.156044346
Coefficient of variation (CV)0.3252592011
Kurtosis-0.6299262223
Mean3.554224884
Median Absolute Deviation (MAD)1
Skewness-0.4144192718
Sum5342
Variance1.33643853
MonotonicityNot monotonic
2025-02-26T17:41:57.027133image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 432
 
10.3%
4 419
 
10.0%
5 383
 
9.2%
2 186
 
4.4%
1 83
 
2.0%
(Missing) 2680
64.1%
ValueCountFrequency (%)
1 83
 
2.0%
2 186
4.4%
3 432
10.3%
4 419
10.0%
5 383
9.2%
ValueCountFrequency (%)
5 383
9.2%
4 419
10.0%
3 432
10.3%
2 186
4.4%
1 83
 
2.0%

w1_E02_9
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2692
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean3.837692824
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.065886image/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 deviation1.177165765
Coefficient of variation (CV)0.306737881
Kurtosis-0.3100507759
Mean3.837692824
Median Absolute Deviation (MAD)1
Skewness-0.7754702335
Sum5722
Variance1.385719237
MonotonicityNot monotonic
2025-02-26T17:41:57.105794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 565
 
13.5%
4 409
 
9.8%
3 303
 
7.2%
2 138
 
3.3%
1 76
 
1.8%
(Missing) 2692
64.4%
ValueCountFrequency (%)
1 76
 
1.8%
2 138
 
3.3%
3 303
7.2%
4 409
9.8%
5 565
13.5%
ValueCountFrequency (%)
5 565
13.5%
4 409
9.8%
3 303
7.2%
2 138
 
3.3%
1 76
 
1.8%

w1_E02_10
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2703
Missing (%)64.6%
Infinite0
Infinite (%)0.0%
Mean3.390540541
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.145853image/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 deviation1.317759169
Coefficient of variation (CV)0.3886575469
Kurtosis-0.9785911262
Mean3.390540541
Median Absolute Deviation (MAD)1
Skewness-0.3690162531
Sum5018
Variance1.736489228
MonotonicityNot monotonic
2025-02-26T17:41:57.185622image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 383
 
9.2%
4 366
 
8.7%
3 348
 
8.3%
2 212
 
5.1%
1 171
 
4.1%
(Missing) 2703
64.6%
ValueCountFrequency (%)
1 171
4.1%
2 212
5.1%
3 348
8.3%
4 366
8.7%
5 383
9.2%
ValueCountFrequency (%)
5 383
9.2%
4 366
8.7%
3 348
8.3%
2 212
5.1%
1 171
4.1%

w1_E02_11
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2697
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean3.17833109
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.226117image/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 deviation1.307255655
Coefficient of variation (CV)0.4113025415
Kurtosis-1.067805565
Mean3.17833109
Median Absolute Deviation (MAD)1
Skewness-0.1204651363
Sum4723
Variance1.708917348
MonotonicityNot monotonic
2025-02-26T17:41:57.265639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 398
 
9.5%
4 310
 
7.4%
5 308
 
7.4%
2 279
 
6.7%
1 191
 
4.6%
(Missing) 2697
64.5%
ValueCountFrequency (%)
1 191
4.6%
2 279
6.7%
3 398
9.5%
4 310
7.4%
5 308
7.4%
ValueCountFrequency (%)
5 308
7.4%
4 310
7.4%
3 398
9.5%
2 279
6.7%
1 191
4.6%

w1_E02_12
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2684
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean4.174116077
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.304715image/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 deviation0.9918074638
Coefficient of variation (CV)0.2376089801
Kurtosis0.9936623671
Mean4.174116077
Median Absolute Deviation (MAD)1
Skewness-1.204920393
Sum6257
Variance0.9836820453
MonotonicityNot monotonic
2025-02-26T17:41:57.346631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 717
 
17.1%
4 465
 
11.1%
3 212
 
5.1%
2 71
 
1.7%
1 34
 
0.8%
(Missing) 2684
64.2%
ValueCountFrequency (%)
1 34
 
0.8%
2 71
 
1.7%
3 212
 
5.1%
4 465
11.1%
5 717
17.1%
ValueCountFrequency (%)
5 717
17.1%
4 465
11.1%
3 212
 
5.1%
2 71
 
1.7%
1 34
 
0.8%

w1_E02_13
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2681
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean3.649134487
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.386741image/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 deviation1.254464081
Coefficient of variation (CV)0.3437703064
Kurtosis-0.6632692029
Mean3.649134487
Median Absolute Deviation (MAD)1
Skewness-0.6014399768
Sum5481
Variance1.57368013
MonotonicityNot monotonic
2025-02-26T17:41:57.427282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 492
 
11.8%
4 393
 
9.4%
3 331
 
7.9%
2 170
 
4.1%
1 116
 
2.8%
(Missing) 2681
64.1%
ValueCountFrequency (%)
1 116
 
2.8%
2 170
 
4.1%
3 331
7.9%
4 393
9.4%
5 492
11.8%
ValueCountFrequency (%)
5 492
11.8%
4 393
9.4%
3 331
7.9%
2 170
 
4.1%
1 116
 
2.8%

w1_E02_14
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2684
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean3.90527018
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.466520image/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 deviation1.088398698
Coefficient of variation (CV)0.2786999741
Kurtosis-0.1691975757
Mean3.90527018
Median Absolute Deviation (MAD)1
Skewness-0.7727019415
Sum5854
Variance1.184611726
MonotonicityNot monotonic
2025-02-26T17:41:57.507050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 560
 
13.4%
4 454
 
10.9%
3 314
 
7.5%
2 125
 
3.0%
1 46
 
1.1%
(Missing) 2684
64.2%
ValueCountFrequency (%)
1 46
 
1.1%
2 125
 
3.0%
3 314
7.5%
4 454
10.9%
5 560
13.4%
ValueCountFrequency (%)
5 560
13.4%
4 454
10.9%
3 314
7.5%
2 125
 
3.0%
1 46
 
1.1%

w1_E02_15
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2680
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean3.479707252
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.546270image/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 deviation1.299167784
Coefficient of variation (CV)0.3733554837
Kurtosis-0.9873657361
Mean3.479707252
Median Absolute Deviation (MAD)1
Skewness-0.3767744177
Sum5230
Variance1.687836932
MonotonicityNot monotonic
2025-02-26T17:41:57.585744image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 443
 
10.6%
3 353
 
8.4%
4 338
 
8.1%
2 235
 
5.6%
1 134
 
3.2%
(Missing) 2680
64.1%
ValueCountFrequency (%)
1 134
 
3.2%
2 235
5.6%
3 353
8.4%
4 338
8.1%
5 443
10.6%
ValueCountFrequency (%)
5 443
10.6%
4 338
8.1%
3 353
8.4%
2 235
5.6%
1 134
 
3.2%

w1_E02_16
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2689
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean3.629852744
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.625642image/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 deviation1.24341765
Coefficient of variation (CV)0.3425531937
Kurtosis-0.7119767538
Mean3.629852744
Median Absolute Deviation (MAD)1
Skewness-0.555407455
Sum5423
Variance1.546087453
MonotonicityNot monotonic
2025-02-26T17:41:57.665303image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 474
 
11.3%
4 392
 
9.4%
3 336
 
8.0%
2 185
 
4.4%
1 107
 
2.6%
(Missing) 2689
64.3%
ValueCountFrequency (%)
1 107
 
2.6%
2 185
 
4.4%
3 336
8.0%
4 392
9.4%
5 474
11.3%
ValueCountFrequency (%)
5 474
11.3%
4 392
9.4%
3 336
8.0%
2 185
 
4.4%
1 107
 
2.6%

w1_E02_17
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2686
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean3.657314629
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.705775image/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 deviation1.214661548
Coefficient of variation (CV)0.3321184179
Kurtosis-0.5576578242
Mean3.657314629
Median Absolute Deviation (MAD)1
Skewness-0.5967041355
Sum5475
Variance1.475402677
MonotonicityNot monotonic
2025-02-26T17:41:57.745364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 470
 
11.2%
4 405
 
9.7%
3 365
 
8.7%
2 153
 
3.7%
1 104
 
2.5%
(Missing) 2686
64.2%
ValueCountFrequency (%)
1 104
 
2.5%
2 153
 
3.7%
3 365
8.7%
4 405
9.7%
5 470
11.2%
ValueCountFrequency (%)
5 470
11.2%
4 405
9.7%
3 365
8.7%
2 153
 
3.7%
1 104
 
2.5%

w1_E02_18
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2687
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean3.989304813
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.784410image/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 deviation1.040911897
Coefficient of variation (CV)0.2609256363
Kurtosis0.251575401
Mean3.989304813
Median Absolute Deviation (MAD)1
Skewness-0.894396483
Sum5968
Variance1.083497577
MonotonicityNot monotonic
2025-02-26T17:41:57.825900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 589
 
14.1%
4 471
 
11.3%
3 311
 
7.4%
2 81
 
1.9%
1 44
 
1.1%
(Missing) 2687
64.2%
ValueCountFrequency (%)
1 44
 
1.1%
2 81
 
1.9%
3 311
7.4%
4 471
11.3%
5 589
14.1%
ValueCountFrequency (%)
5 589
14.1%
4 471
11.3%
3 311
7.4%
2 81
 
1.9%
1 44
 
1.1%

w1_E02_19
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2683
Missing (%)64.1%
Infinite0
Infinite (%)0.0%
Mean3.802666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.865823image/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 deviation1.102967473
Coefficient of variation (CV)0.2900510536
Kurtosis-0.2592090243
Mean3.802666667
Median Absolute Deviation (MAD)1
Skewness-0.6914541843
Sum5704
Variance1.216537247
MonotonicityNot monotonic
2025-02-26T17:41:57.907023image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 486
 
11.6%
5 485
 
11.6%
3 333
 
8.0%
2 140
 
3.3%
1 56
 
1.3%
(Missing) 2683
64.1%
ValueCountFrequency (%)
1 56
 
1.3%
2 140
 
3.3%
3 333
8.0%
4 486
11.6%
5 485
11.6%
ValueCountFrequency (%)
5 485
11.6%
4 486
11.6%
3 333
8.0%
2 140
 
3.3%
1 56
 
1.3%

w1_E02_20
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)0.3%
Missing2694
Missing (%)64.4%
Infinite0
Infinite (%)0.0%
Mean3.61047683
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:57.946606image/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 deviation1.174916081
Coefficient of variation (CV)0.325418535
Kurtosis-0.6095854231
Mean3.61047683
Median Absolute Deviation (MAD)1
Skewness-0.5027398367
Sum5376
Variance1.380427797
MonotonicityNot monotonic
2025-02-26T17:41:57.987307image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 429
 
10.3%
5 415
 
9.9%
3 380
 
9.1%
2 180
 
4.3%
1 85
 
2.0%
(Missing) 2694
64.4%
ValueCountFrequency (%)
1 85
 
2.0%
2 180
4.3%
3 380
9.1%
4 429
10.3%
5 415
9.9%
ValueCountFrequency (%)
5 415
9.9%
4 429
10.3%
3 380
9.1%
2 180
4.3%
1 85
 
2.0%

w1_E02_21
Real number (ℝ)

Missing 

Distinct5
Distinct (%)0.3%
Missing2686
Missing (%)64.2%
Infinite0
Infinite (%)0.0%
Mean3.750835003
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.027230image/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 deviation1.214347566
Coefficient of variation (CV)0.3237539281
Kurtosis-0.3618950301
Mean3.750835003
Median Absolute Deviation (MAD)1
Skewness-0.7456317267
Sum5615
Variance1.474640011
MonotonicityNot monotonic
2025-02-26T17:41:58.067454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 518
 
12.4%
4 429
 
10.3%
3 313
 
7.5%
2 133
 
3.2%
1 104
 
2.5%
(Missing) 2686
64.2%
ValueCountFrequency (%)
1 104
 
2.5%
2 133
 
3.2%
3 313
7.5%
4 429
10.3%
5 518
12.4%
ValueCountFrequency (%)
5 518
12.4%
4 429
10.3%
3 313
7.5%
2 133
 
3.2%
1 104
 
2.5%

w1_E03
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2604
Missing (%)62.3%
Infinite0
Infinite (%)0.0%
Mean1.474350855
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.108340image/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 deviation0.4994998827
Coefficient of variation (CV)0.3387930906
Kurtosis-1.991950745
Mean1.474350855
Median Absolute Deviation (MAD)0
Skewness0.1028295499
Sum2328
Variance0.2495001328
MonotonicityNot monotonic
2025-02-26T17:41:58.144746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 830
 
19.8%
2 749
 
17.9%
(Missing) 2604
62.3%
ValueCountFrequency (%)
1 830
19.8%
2 749
17.9%
ValueCountFrequency (%)
2 749
17.9%
1 830
19.8%

w1_E04
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.2%
Missing3353
Missing (%)80.2%
Infinite0
Infinite (%)0.0%
Mean1.897590361
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.180399image/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 deviation0.3033690613
Coefficient of variation (CV)0.1598706799
Kurtosis4.915582094
Mean1.897590361
Median Absolute Deviation (MAD)0
Skewness-2.627497497
Sum1575
Variance0.09203278736
MonotonicityNot monotonic
2025-02-26T17:41:58.220654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 745
 
17.8%
1 85
 
2.0%
(Missing) 3353
80.2%
ValueCountFrequency (%)
1 85
 
2.0%
2 745
17.8%
ValueCountFrequency (%)
2 745
17.8%
1 85
 
2.0%

w1_E05
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.3%
Missing3438
Missing (%)82.2%
Infinite0
Infinite (%)0.0%
Mean1.353020134
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.258114image/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 deviation0.47822997
Coefficient of variation (CV)0.353453698
Kurtosis-1.624496524
Mean1.353020134
Median Absolute Deviation (MAD)0
Skewness0.6163373856
Sum1008
Variance0.2287039042
MonotonicityNot monotonic
2025-02-26T17:41:58.295812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 482
 
11.5%
2 263
 
6.3%
(Missing) 3438
82.2%
ValueCountFrequency (%)
1 482
11.5%
2 263
6.3%
ValueCountFrequency (%)
2 263
6.3%
1 482
11.5%

w1_E06
Real number (ℝ)

Missing 

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

Distinct6
Distinct (%)8.3%
Missing4111
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean1.888888889
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.331881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32.25
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.306059071
Coefficient of variation (CV)0.6914430377
Kurtosis1.072958488
Mean1.888888889
Median Absolute Deviation (MAD)0
Skewness1.420619392
Sum136
Variance1.705790297
MonotonicityNot monotonic
2025-02-26T17:41:58.368763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 42
 
1.0%
2 12
 
0.3%
3 8
 
0.2%
4 5
 
0.1%
5 4
 
0.1%
6 1
 
< 0.1%
(Missing) 4111
98.3%
ValueCountFrequency (%)
1 42
1.0%
2 12
 
0.3%
3 8
 
0.2%
4 5
 
0.1%
5 4
 
0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
5 4
 
0.1%
4 5
0.1%
3 8
0.2%
2 12
0.3%

w1_E07
Text

Missing 

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

Distinct54
Distinct (%)80.6%
Missing4116
Missing (%)98.4%
Memory size34.3 KiB
2025-02-26T17:41:58.468121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length84
Median length35
Mean length15.59701493
Min length1

Characters and Unicode

Total characters1045
Distinct characters53
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

Unique47 ?
Unique (%)70.1%

Sample

1st rowDiscord chatbot
2nd rowwhatsapp
3rd rowDiscord
4th rowSiri
5th rowDiscord
ValueCountFrequency (%)
google 19
 
13.3%
assistant 16
 
11.2%
telegram 9
 
6.3%
discord 7
 
4.9%
alexa 7
 
4.9%
whatsapp 7
 
4.9%
7
 
4.9%
instagram 6
 
4.2%
siri 5
 
3.5%
duolingo 3
 
2.1%
Other values (51) 57
39.9%
2025-02-26T17:41:58.626751image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 108
 
10.3%
s 90
 
8.6%
o 82
 
7.8%
76
 
7.3%
t 71
 
6.8%
e 70
 
6.7%
i 51
 
4.9%
g 50
 
4.8%
l 46
 
4.4%
r 44
 
4.2%
Other values (43) 357
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1045
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 108
 
10.3%
s 90
 
8.6%
o 82
 
7.8%
76
 
7.3%
t 71
 
6.8%
e 70
 
6.7%
i 51
 
4.9%
g 50
 
4.8%
l 46
 
4.4%
r 44
 
4.2%
Other values (43) 357
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1045
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 108
 
10.3%
s 90
 
8.6%
o 82
 
7.8%
76
 
7.3%
t 71
 
6.8%
e 70
 
6.7%
i 51
 
4.9%
g 50
 
4.8%
l 46
 
4.4%
r 44
 
4.2%
Other values (43) 357
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1045
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 108
 
10.3%
s 90
 
8.6%
o 82
 
7.8%
76
 
7.3%
t 71
 
6.8%
e 70
 
6.7%
i 51
 
4.9%
g 50
 
4.8%
l 46
 
4.4%
r 44
 
4.2%
Other values (43) 357
34.2%

w1_E08
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)6.5%
Missing4106
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean2.597402597
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.673239image/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 deviation1.340264509
Coefficient of variation (CV)0.516001836
Kurtosis-1.090927781
Mean2.597402597
Median Absolute Deviation (MAD)1
Skewness0.3417792371
Sum200
Variance1.796308954
MonotonicityNot monotonic
2025-02-26T17:41:58.713840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 21
 
0.5%
2 19
 
0.5%
3 15
 
0.4%
4 14
 
0.3%
5 8
 
0.2%
(Missing) 4106
98.2%
ValueCountFrequency (%)
1 21
0.5%
2 19
0.5%
3 15
0.4%
4 14
0.3%
5 8
 
0.2%
ValueCountFrequency (%)
5 8
 
0.2%
4 14
0.3%
3 15
0.4%
2 19
0.5%
1 21
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)

Distinct5
Distinct (%)6.8%
Missing4110
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean2.835616438
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.753069image/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 deviation1.20200872
Coefficient of variation (CV)0.4238967948
Kurtosis-0.9627716052
Mean2.835616438
Median Absolute Deviation (MAD)1
Skewness-0.06886060987
Sum207
Variance1.444824962
MonotonicityNot monotonic
2025-02-26T17:41:58.792599image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 21
 
0.5%
4 19
 
0.5%
2 15
 
0.4%
1 13
 
0.3%
5 5
 
0.1%
(Missing) 4110
98.3%
ValueCountFrequency (%)
1 13
0.3%
2 15
0.4%
3 21
0.5%
4 19
0.5%
5 5
 
0.1%
ValueCountFrequency (%)
5 5
 
0.1%
4 19
0.5%
3 21
0.5%
2 15
0.4%
1 13
0.3%

w1_E09_2
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)6.8%
Missing4110
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean2.863013699
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.832290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.502914469
Coefficient of variation (CV)0.5249414176
Kurtosis-1.392172981
Mean2.863013699
Median Absolute Deviation (MAD)1
Skewness0.1641490015
Sum209
Variance2.258751903
MonotonicityNot monotonic
2025-02-26T17:41:58.873511image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 19
 
0.5%
5 16
 
0.4%
3 14
 
0.3%
2 14
 
0.3%
4 10
 
0.2%
(Missing) 4110
98.3%
ValueCountFrequency (%)
1 19
0.5%
2 14
0.3%
3 14
0.3%
4 10
0.2%
5 16
0.4%
ValueCountFrequency (%)
5 16
0.4%
4 10
0.2%
3 14
0.3%
2 14
0.3%
1 19
0.5%

w1_E09_3
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)6.9%
Missing4111
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean2.944444444
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.915337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.471694328
Coefficient of variation (CV)0.4998207151
Kurtosis-1.340742808
Mean2.944444444
Median Absolute Deviation (MAD)1
Skewness0.01655237271
Sum212
Variance2.165884194
MonotonicityNot monotonic
2025-02-26T17:41:58.956924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 18
 
0.4%
3 17
 
0.4%
5 15
 
0.4%
4 12
 
0.3%
2 10
 
0.2%
(Missing) 4111
98.3%
ValueCountFrequency (%)
1 18
0.4%
2 10
0.2%
3 17
0.4%
4 12
0.3%
5 15
0.4%
ValueCountFrequency (%)
5 15
0.4%
4 12
0.3%
3 17
0.4%
2 10
0.2%
1 18
0.4%

w1_E09_4
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)6.9%
Missing4111
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean2.902777778
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:58.997414image/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 deviation1.140295517
Coefficient of variation (CV)0.3928290775
Kurtosis-0.6514103971
Mean2.902777778
Median Absolute Deviation (MAD)1
Skewness-0.1564021656
Sum209
Variance1.300273865
MonotonicityNot monotonic
2025-02-26T17:41:59.102342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 27
 
0.6%
4 17
 
0.4%
2 12
 
0.3%
1 11
 
0.3%
5 5
 
0.1%
(Missing) 4111
98.3%
ValueCountFrequency (%)
1 11
0.3%
2 12
0.3%
3 27
0.6%
4 17
0.4%
5 5
 
0.1%
ValueCountFrequency (%)
5 5
 
0.1%
4 17
0.4%
3 27
0.6%
2 12
0.3%
1 11
0.3%

w1_E09_5
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)6.8%
Missing4110
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean2.890410959
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:59.142120image/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 deviation1.219763682
Coefficient of variation (CV)0.4220035487
Kurtosis-0.8346104036
Mean2.890410959
Median Absolute Deviation (MAD)1
Skewness-0.0683423778
Sum211
Variance1.48782344
MonotonicityNot monotonic
2025-02-26T17:41:59.182693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 25
 
0.6%
4 16
 
0.4%
1 13
 
0.3%
2 12
 
0.3%
5 7
 
0.2%
(Missing) 4110
98.3%
ValueCountFrequency (%)
1 13
0.3%
2 12
0.3%
3 25
0.6%
4 16
0.4%
5 7
 
0.2%
ValueCountFrequency (%)
5 7
 
0.2%
4 16
0.4%
3 25
0.6%
2 12
0.3%
1 13
0.3%

w1_E09_6
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)6.9%
Missing4111
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean3.041666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:59.222678image/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 deviation1.336776657
Coefficient of variation (CV)0.439488216
Kurtosis-1.082435323
Mean3.041666667
Median Absolute Deviation (MAD)1
Skewness-0.04163070154
Sum219
Variance1.786971831
MonotonicityNot monotonic
2025-02-26T17:41:59.263076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 20
 
0.5%
4 14
 
0.3%
2 13
 
0.3%
5 13
 
0.3%
1 12
 
0.3%
(Missing) 4111
98.3%
ValueCountFrequency (%)
1 12
0.3%
2 13
0.3%
3 20
0.5%
4 14
0.3%
5 13
0.3%
ValueCountFrequency (%)
5 13
0.3%
4 14
0.3%
3 20
0.5%
2 13
0.3%
1 12
0.3%

w1_E09_7
Real number (ℝ)

Missing 

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

Distinct5
Distinct (%)6.9%
Missing4111
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean3.041666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:59.302400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.622357006
Coefficient of variation (CV)0.5333776457
Kurtosis-1.579172136
Mean3.041666667
Median Absolute Deviation (MAD)2
Skewness-0.008022162342
Sum219
Variance2.632042254
MonotonicityNot monotonic
2025-02-26T17:41:59.342379image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 23
 
0.5%
1 20
 
0.5%
3 14
 
0.3%
2 9
 
0.2%
4 6
 
0.1%
(Missing) 4111
98.3%
ValueCountFrequency (%)
1 20
0.5%
2 9
 
0.2%
3 14
0.3%
4 6
 
0.1%
5 23
0.5%
ValueCountFrequency (%)
5 23
0.5%
4 6
 
0.1%
3 14
0.3%
2 9
 
0.2%
1 20
0.5%

w1_F01
Real number (ℝ)

Missing 

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

Distinct4
Distinct (%)0.3%
Missing2620
Missing (%)62.6%
Infinite0
Infinite (%)0.0%
Mean3.366602687
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:59.379743image/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 deviation1.115292564
Coefficient of variation (CV)0.3312813146
Kurtosis0.3247353703
Mean3.366602687
Median Absolute Deviation (MAD)0
Skewness-1.431896372
Sum5262
Variance1.243877503
MonotonicityNot monotonic
2025-02-26T17:41:59.415914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 1120
26.8%
1 243
 
5.8%
3 139
 
3.3%
2 61
 
1.5%
(Missing) 2620
62.6%
ValueCountFrequency (%)
1 243
 
5.8%
2 61
 
1.5%
3 139
 
3.3%
4 1120
26.8%
ValueCountFrequency (%)
4 1120
26.8%
3 139
 
3.3%
2 61
 
1.5%
1 243
 
5.8%

w1_F02
Real number (ℝ)

Missing 

Distinct25
Distinct (%)5.6%
Missing3739
Missing (%)89.4%
Infinite0
Infinite (%)0.0%
Mean5.29954955
Minimum0
Maximum400
Zeros29
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:41:59.458095image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile10
Maximum400
Range400
Interquartile range (IQR)2

Descriptive statistics

Standard deviation25.34543115
Coefficient of variation (CV)4.782563294
Kurtosis156.4038097
Mean5.29954955
Median Absolute Deviation (MAD)1
Skewness11.54841421
Sum2353
Variance642.3908802
MonotonicityNot monotonic
2025-02-26T17:41:59.503155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 174
 
4.2%
2 126
 
3.0%
3 50
 
1.2%
0 29
 
0.7%
4 20
 
0.5%
5 14
 
0.3%
10 5
 
0.1%
100 3
 
0.1%
6 3
 
0.1%
20 3
 
0.1%
Other values (15) 17
 
0.4%
(Missing) 3739
89.4%
ValueCountFrequency (%)
0 29
 
0.7%
1 174
4.2%
2 126
3.0%
3 50
 
1.2%
4 20
 
0.5%
ValueCountFrequency (%)
400 1
 
< 0.1%
253 1
 
< 0.1%
150 1
 
< 0.1%
100 3
0.1%
71 1
 
< 0.1%

w1_F03_1
Boolean

Missing 

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

Distinct2
Distinct (%)0.5%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
319
True
 
63
(Missing)
3801 
ValueCountFrequency (%)
False 319
 
7.6%
True 63
 
1.5%
(Missing) 3801
90.9%
2025-02-26T17:41:59.553797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_2
Boolean

Missing 

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

Distinct2
Distinct (%)0.5%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
229
True
 
153
(Missing)
3801 
ValueCountFrequency (%)
False 229
 
5.5%
True 153
 
3.7%
(Missing) 3801
90.9%
2025-02-26T17:41:59.588625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_3
Boolean

Missing 

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%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
322
True
 
60
(Missing)
3801 
ValueCountFrequency (%)
False 322
 
7.7%
True 60
 
1.4%
(Missing) 3801
90.9%
2025-02-26T17:41:59.623746image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_4
Boolean

Missing 

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

Distinct2
Distinct (%)0.5%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
263
True
 
119
(Missing)
3801 
ValueCountFrequency (%)
False 263
 
6.3%
True 119
 
2.8%
(Missing) 3801
90.9%
2025-02-26T17:41:59.658066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_5
Boolean

Missing 

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

Distinct2
Distinct (%)0.5%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
210
True
 
172
(Missing)
3801 
ValueCountFrequency (%)
False 210
 
5.0%
True 172
 
4.1%
(Missing) 3801
90.9%
2025-02-26T17:41:59.693394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_6
Boolean

Missing 

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

Distinct2
Distinct (%)0.5%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
236
True
 
146
(Missing)
3801 
ValueCountFrequency (%)
False 236
 
5.6%
True 146
 
3.5%
(Missing) 3801
90.9%
2025-02-26T17:41:59.728987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_7
Boolean

Imbalance  Missing 

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%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
344
True
 
38
(Missing)
3801 
ValueCountFrequency (%)
False 344
 
8.2%
True 38
 
0.9%
(Missing) 3801
90.9%
2025-02-26T17:41:59.763501image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_8
Boolean

Missing 

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

Distinct2
Distinct (%)0.5%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
319
True
 
63
(Missing)
3801 
ValueCountFrequency (%)
False 319
 
7.6%
True 63
 
1.5%
(Missing) 3801
90.9%
2025-02-26T17:41:59.798817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_9
Boolean

Missing 

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

Distinct2
Distinct (%)0.5%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
262
True
 
120
(Missing)
3801 
ValueCountFrequency (%)
False 262
 
6.3%
True 120
 
2.9%
(Missing) 3801
90.9%
2025-02-26T17:41:59.833183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F03_10
Boolean

Missing 

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

Distinct2
Distinct (%)0.5%
Missing3801
Missing (%)90.9%
Memory size8.3 KiB
False
 
319
True
 
63
(Missing)
3801 
ValueCountFrequency (%)
False 319
 
7.6%
True 63
 
1.5%
(Missing) 3801
90.9%
2025-02-26T17:41:59.868410image/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: ________

Distinct45
Distinct (%)11.8%
Missing3801
Missing (%)90.9%
Memory size34.5 KiB
2025-02-26T17:41:59.976749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length192
Median length1
Mean length3.185863874
Min length1

Characters and Unicode

Total characters1217
Distinct characters50
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

Unique41 ?
Unique (%)10.7%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2
ValueCountFrequency (%)
2 335
72.4%
related 5
 
1.1%
technical 4
 
0.9%
clubs 4
 
0.9%
to 4
 
0.9%
student 3
 
0.6%
club 3
 
0.6%
and 3
 
0.6%
a 3
 
0.6%
engineering 2
 
0.4%
Other values (87) 97
 
21.0%
2025-02-26T17:42:00.165383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 335
27.5%
e 87
 
7.1%
81
 
6.7%
i 63
 
5.2%
n 58
 
4.8%
t 55
 
4.5%
a 54
 
4.4%
o 54
 
4.4%
r 42
 
3.5%
c 39
 
3.2%
Other values (40) 349
28.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1217
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 335
27.5%
e 87
 
7.1%
81
 
6.7%
i 63
 
5.2%
n 58
 
4.8%
t 55
 
4.5%
a 54
 
4.4%
o 54
 
4.4%
r 42
 
3.5%
c 39
 
3.2%
Other values (40) 349
28.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1217
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 335
27.5%
e 87
 
7.1%
81
 
6.7%
i 63
 
5.2%
n 58
 
4.8%
t 55
 
4.5%
a 54
 
4.4%
o 54
 
4.4%
r 42
 
3.5%
c 39
 
3.2%
Other values (40) 349
28.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1217
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 335
27.5%
e 87
 
7.1%
81
 
6.7%
i 63
 
5.2%
n 58
 
4.8%
t 55
 
4.5%
a 54
 
4.4%
o 54
 
4.4%
r 42
 
3.5%
c 39
 
3.2%
Other values (40) 349
28.7%

w1_F04_1
Boolean

Missing 

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

Distinct2
Distinct (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
153
True
 
47
(Missing)
3983 
ValueCountFrequency (%)
False 153
 
3.7%
True 47
 
1.1%
(Missing) 3983
95.2%
2025-02-26T17:42:00.217715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_2
Boolean

Missing 

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

Distinct2
Distinct (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
128
True
 
72
(Missing)
3983 
ValueCountFrequency (%)
False 128
 
3.1%
True 72
 
1.7%
(Missing) 3983
95.2%
2025-02-26T17:42:00.253714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_3
Boolean

Missing 

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 (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
158
True
 
42
(Missing)
3983 
ValueCountFrequency (%)
False 158
 
3.8%
True 42
 
1.0%
(Missing) 3983
95.2%
2025-02-26T17:42:00.289403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_4
Boolean

Missing 

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

Distinct2
Distinct (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
146
True
 
54
(Missing)
3983 
ValueCountFrequency (%)
False 146
 
3.5%
True 54
 
1.3%
(Missing) 3983
95.2%
2025-02-26T17:42:00.326009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_5
Boolean

Missing 

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

Distinct2
Distinct (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
148
True
 
52
(Missing)
3983 
ValueCountFrequency (%)
False 148
 
3.5%
True 52
 
1.2%
(Missing) 3983
95.2%
2025-02-26T17:42:00.361666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_6
Boolean

Missing 

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

Distinct2
Distinct (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
101
True
 
99
(Missing)
3983 
ValueCountFrequency (%)
False 101
 
2.4%
True 99
 
2.4%
(Missing) 3983
95.2%
2025-02-26T17:42:00.398049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_7
Boolean

Missing 

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 (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
161
True
 
39
(Missing)
3983 
ValueCountFrequency (%)
False 161
 
3.8%
True 39
 
0.9%
(Missing) 3983
95.2%
2025-02-26T17:42:00.433624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_8
Boolean

Missing 

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

Distinct2
Distinct (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
161
True
 
39
(Missing)
3983 
ValueCountFrequency (%)
False 161
 
3.8%
True 39
 
0.9%
(Missing) 3983
95.2%
2025-02-26T17:42:00.469116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_9
Boolean

Missing 

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

Distinct2
Distinct (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
138
True
 
62
(Missing)
3983 
ValueCountFrequency (%)
False 138
 
3.3%
True 62
 
1.5%
(Missing) 3983
95.2%
2025-02-26T17:42:00.505594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_F04_10
Boolean

Missing 

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

Distinct2
Distinct (%)1.0%
Missing3983
Missing (%)95.2%
Memory size8.3 KiB
False
 
169
True
 
31
(Missing)
3983 
ValueCountFrequency (%)
False 169
 
4.0%
True 31
 
0.7%
(Missing) 3983
95.2%
2025-02-26T17:42:00.541165image/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

Distinct18
Distinct (%)9.0%
Missing3983
Missing (%)95.2%
Memory size33.7 KiB
2025-02-26T17:42:00.600268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length56
Median length1
Mean length2.15
Min length1

Characters and Unicode

Total characters430
Distinct characters38
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

Unique16 ?
Unique (%)8.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2
ValueCountFrequency (%)
2 182
84.3%
and 3
 
1.4%
gaming 2
 
0.9%
making 1
 
0.5%
monthly 1
 
0.5%
magazine 1
 
0.5%
with 1
 
0.5%
dada 1
 
0.5%
bhagwan 1
 
0.5%
akram 1
 
0.5%
Other values (22) 22
 
10.2%
2025-02-26T17:42:00.719898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 182
42.3%
i 28
 
6.5%
a 25
 
5.8%
n 19
 
4.4%
17
 
4.0%
t 13
 
3.0%
e 13
 
3.0%
c 11
 
2.6%
m 10
 
2.3%
g 10
 
2.3%
Other values (28) 102
23.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 430
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 182
42.3%
i 28
 
6.5%
a 25
 
5.8%
n 19
 
4.4%
17
 
4.0%
t 13
 
3.0%
e 13
 
3.0%
c 11
 
2.6%
m 10
 
2.3%
g 10
 
2.3%
Other values (28) 102
23.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 430
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 182
42.3%
i 28
 
6.5%
a 25
 
5.8%
n 19
 
4.4%
17
 
4.0%
t 13
 
3.0%
e 13
 
3.0%
c 11
 
2.6%
m 10
 
2.3%
g 10
 
2.3%
Other values (28) 102
23.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 430
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 182
42.3%
i 28
 
6.5%
a 25
 
5.8%
n 19
 
4.4%
17
 
4.0%
t 13
 
3.0%
e 13
 
3.0%
c 11
 
2.6%
m 10
 
2.3%
g 10
 
2.3%
Other values (28) 102
23.7%

w1_G01_1
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2698
Missing (%)64.5%
Infinite0
Infinite (%)0.0%
Mean1.786531987
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:00.768014image/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 deviation0.4098933526
Coefficient of variation (CV)0.2294352162
Kurtosis-0.04015067868
Mean1.786531987
Median Absolute Deviation (MAD)0
Skewness-1.399966147
Sum2653
Variance0.1680125605
MonotonicityNot monotonic
2025-02-26T17:42:00.806009image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1168
27.9%
1 317
 
7.6%
(Missing) 2698
64.5%
ValueCountFrequency (%)
1 317
 
7.6%
2 1168
27.9%
ValueCountFrequency (%)
2 1168
27.9%
1 317
 
7.6%

w1_G01_2
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2715
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean1.933242507
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:00.842730image/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 deviation0.2496866007
Coefficient of variation (CV)0.1291543093
Kurtosis10.08954126
Mean1.933242507
Median Absolute Deviation (MAD)0
Skewness-3.475024768
Sum2838
Variance0.06234339855
MonotonicityNot monotonic
2025-02-26T17:42:00.882006image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1370
32.8%
1 98
 
2.3%
(Missing) 2715
64.9%
ValueCountFrequency (%)
1 98
 
2.3%
2 1370
32.8%
ValueCountFrequency (%)
2 1370
32.8%
1 98
 
2.3%

w1_G01_3
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2723
Missing (%)65.1%
Infinite0
Infinite (%)0.0%
Mean1.948630137
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:00.919201image/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 deviation0.2208266299
Coefficient of variation (CV)0.113324035
Kurtosis14.5747909
Mean1.948630137
Median Absolute Deviation (MAD)0
Skewness-4.068762378
Sum2845
Variance0.04876440046
MonotonicityNot monotonic
2025-02-26T17:42:00.958966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1385
33.1%
1 75
 
1.8%
(Missing) 2723
65.1%
ValueCountFrequency (%)
1 75
 
1.8%
2 1385
33.1%
ValueCountFrequency (%)
2 1385
33.1%
1 75
 
1.8%

w1_G01_4
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2706
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean1.718348003
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:00.996247image/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 deviation0.4499569154
Coefficient of variation (CV)0.2618543593
Kurtosis-1.056951395
Mean1.718348003
Median Absolute Deviation (MAD)0
Skewness-0.9718444603
Sum2538
Variance0.2024612257
MonotonicityNot monotonic
2025-02-26T17:42:01.033535image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1061
 
25.4%
1 416
 
9.9%
(Missing) 2706
64.7%
ValueCountFrequency (%)
1 416
 
9.9%
2 1061
25.4%
ValueCountFrequency (%)
2 1061
25.4%
1 416
 
9.9%

w1_G01_5
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2719
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean1.87431694
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.070653image/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 deviation0.3316050951
Coefficient of variation (CV)0.1769205027
Kurtosis3.11499578
Mean1.87431694
Median Absolute Deviation (MAD)0
Skewness-2.260695067
Sum2744
Variance0.1099619391
MonotonicityNot monotonic
2025-02-26T17:42:01.108352image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1280
30.6%
1 184
 
4.4%
(Missing) 2719
65.0%
ValueCountFrequency (%)
1 184
 
4.4%
2 1280
30.6%
ValueCountFrequency (%)
2 1280
30.6%
1 184
 
4.4%

w1_G01_6
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2724
Missing (%)65.1%
Infinite0
Infinite (%)0.0%
Mean1.930774503
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.145775image/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 deviation0.2539242416
Coefficient of variation (CV)0.1315141883
Kurtosis9.556747832
Mean1.930774503
Median Absolute Deviation (MAD)0
Skewness-3.397594633
Sum2817
Variance0.06447752045
MonotonicityNot monotonic
2025-02-26T17:42:01.184209image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1358
32.5%
1 101
 
2.4%
(Missing) 2724
65.1%
ValueCountFrequency (%)
1 101
 
2.4%
2 1358
32.5%
ValueCountFrequency (%)
2 1358
32.5%
1 101
 
2.4%

w1_G01_7
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2728
Missing (%)65.2%
Infinite0
Infinite (%)0.0%
Mean1.957388316
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.222022image/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 deviation0.2020494642
Coefficient of variation (CV)0.1032240064
Kurtosis18.58015901
Mean1.957388316
Median Absolute Deviation (MAD)0
Skewness-4.533720452
Sum2848
Variance0.04082398597
MonotonicityNot monotonic
2025-02-26T17:42:01.261569image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1393
33.3%
1 62
 
1.5%
(Missing) 2728
65.2%
ValueCountFrequency (%)
1 62
 
1.5%
2 1393
33.3%
ValueCountFrequency (%)
2 1393
33.3%
1 62
 
1.5%

w1_G01_8
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2707
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean1.603658537
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.299041image/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 deviation0.4893026819
Coefficient of variation (CV)0.3051165013
Kurtosis-1.822462934
Mean1.603658537
Median Absolute Deviation (MAD)0
Skewness-0.4242739299
Sum2367
Variance0.2394171145
MonotonicityNot monotonic
2025-02-26T17:42:01.337101image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 891
 
21.3%
1 585
 
14.0%
(Missing) 2707
64.7%
ValueCountFrequency (%)
1 585
14.0%
2 891
21.3%
ValueCountFrequency (%)
2 891
21.3%
1 585
14.0%

w1_G01_9
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2732
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean1.794624397
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.444520image/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 deviation0.4041150999
Coefficient of variation (CV)0.2251808794
Kurtosis0.132170958
Mean1.794624397
Median Absolute Deviation (MAD)0
Skewness-1.460133788
Sum2604
Variance0.163309014
MonotonicityNot monotonic
2025-02-26T17:42:01.482336image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 1153
27.6%
1 298
 
7.1%
(Missing) 2732
65.3%
ValueCountFrequency (%)
1 298
 
7.1%
2 1153
27.6%
ValueCountFrequency (%)
2 1153
27.6%
1 298
 
7.1%

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

Distinct5
Distinct (%)0.3%
Missing2747
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean1.954735376
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.520016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.36201782
Coefficient of variation (CV)0.6967786214
Kurtosis0.003370420591
Mean1.954735376
Median Absolute Deviation (MAD)0
Skewness1.190543291
Sum2807
Variance1.855092543
MonotonicityNot monotonic
2025-02-26T17:42:01.559666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 836
 
20.0%
2 218
 
5.2%
5 140
 
3.3%
3 133
 
3.2%
4 109
 
2.6%
(Missing) 2747
65.7%
ValueCountFrequency (%)
1 836
20.0%
2 218
 
5.2%
3 133
 
3.2%
4 109
 
2.6%
5 140
 
3.3%
ValueCountFrequency (%)
5 140
 
3.3%
4 109
 
2.6%
3 133
 
3.2%
2 218
 
5.2%
1 836
20.0%

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

Distinct5
Distinct (%)0.3%
Missing2749
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean2.739888424
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.598655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.595085435
Coefficient of variation (CV)0.5821716757
Kurtosis-1.51330033
Mean2.739888424
Median Absolute Deviation (MAD)2
Skewness0.2388827227
Sum3929
Variance2.544297545
MonotonicityNot monotonic
2025-02-26T17:42:01.639399image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 513
 
12.3%
5 328
 
7.8%
3 214
 
5.1%
2 191
 
4.6%
4 188
 
4.5%
(Missing) 2749
65.7%
ValueCountFrequency (%)
1 513
12.3%
2 191
 
4.6%
3 214
5.1%
4 188
 
4.5%
5 328
7.8%
ValueCountFrequency (%)
5 328
7.8%
4 188
 
4.5%
3 214
5.1%
2 191
 
4.6%
1 513
12.3%

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

Distinct5
Distinct (%)0.3%
Missing2747
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean2.47632312
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.678837image/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 deviation1.583053765
Coefficient of variation (CV)0.63927593
Kurtosis-1.349352893
Mean2.47632312
Median Absolute Deviation (MAD)1
Skewness0.493568833
Sum3556
Variance2.506059224
MonotonicityNot monotonic
2025-02-26T17:42:01.721118image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 651
 
15.6%
5 268
 
6.4%
3 203
 
4.9%
4 164
 
3.9%
2 150
 
3.6%
(Missing) 2747
65.7%
ValueCountFrequency (%)
1 651
15.6%
2 150
 
3.6%
3 203
 
4.9%
4 164
 
3.9%
5 268
6.4%
ValueCountFrequency (%)
5 268
6.4%
4 164
 
3.9%
3 203
 
4.9%
2 150
 
3.6%
1 651
15.6%

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

Distinct5
Distinct (%)0.3%
Missing2734
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean2.708764665
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.761679image/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 deviation1.571302265
Coefficient of variation (CV)0.5800807596
Kurtosis-1.464764006
Mean2.708764665
Median Absolute Deviation (MAD)1
Skewness0.2836779244
Sum3925
Variance2.468990807
MonotonicityNot monotonic
2025-02-26T17:42:01.802469image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 505
 
12.1%
5 314
 
7.5%
2 231
 
5.5%
3 208
 
5.0%
4 191
 
4.6%
(Missing) 2734
65.4%
ValueCountFrequency (%)
1 505
12.1%
2 231
5.5%
3 208
5.0%
4 191
 
4.6%
5 314
7.5%
ValueCountFrequency (%)
5 314
7.5%
4 191
 
4.6%
3 208
5.0%
2 231
5.5%
1 505
12.1%

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

Distinct5
Distinct (%)0.4%
Missing2766
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean1.646436133
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.841927image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.126800036
Coefficient of variation (CV)0.6843873343
Kurtosis2.191560411
Mean1.646436133
Median Absolute Deviation (MAD)0
Skewness1.787767748
Sum2333
Variance1.269678321
MonotonicityNot monotonic
2025-02-26T17:42:01.882791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 955
 
22.8%
2 216
 
5.2%
3 113
 
2.7%
5 75
 
1.8%
4 58
 
1.4%
(Missing) 2766
66.1%
ValueCountFrequency (%)
1 955
22.8%
2 216
 
5.2%
3 113
 
2.7%
4 58
 
1.4%
5 75
 
1.8%
ValueCountFrequency (%)
5 75
 
1.8%
4 58
 
1.4%
3 113
 
2.7%
2 216
 
5.2%
1 955
22.8%

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

Distinct5
Distinct (%)0.3%
Missing2747
Missing (%)65.7%
Infinite0
Infinite (%)0.0%
Mean3.06545961
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:01.922427image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.647265033
Coefficient of variation (CV)0.5373631502
Kurtosis-1.62453611
Mean3.06545961
Median Absolute Deviation (MAD)2
Skewness-0.0635527043
Sum4402
Variance2.713482088
MonotonicityNot monotonic
2025-02-26T17:42:01.962111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 465
 
11.1%
1 421
 
10.1%
3 194
 
4.6%
4 181
 
4.3%
2 175
 
4.2%
(Missing) 2747
65.7%
ValueCountFrequency (%)
1 421
10.1%
2 175
 
4.2%
3 194
4.6%
4 181
 
4.3%
5 465
11.1%
ValueCountFrequency (%)
5 465
11.1%
4 181
 
4.3%
3 194
4.6%
2 175
 
4.2%
1 421
10.1%

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

Distinct5
Distinct (%)0.4%
Missing2767
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean3.023305085
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.002721image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.691013649
Coefficient of variation (CV)0.5593261684
Kurtosis-1.68084719
Mean3.023305085
Median Absolute Deviation (MAD)2
Skewness-0.04711423407
Sum4281
Variance2.859527161
MonotonicityNot monotonic
2025-02-26T17:42:02.042391image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 473
 
11.3%
5 461
 
11.0%
4 184
 
4.4%
3 171
 
4.1%
2 127
 
3.0%
(Missing) 2767
66.1%
ValueCountFrequency (%)
1 473
11.3%
2 127
 
3.0%
3 171
 
4.1%
4 184
 
4.4%
5 461
11.0%
ValueCountFrequency (%)
5 461
11.0%
4 184
 
4.4%
3 171
 
4.1%
2 127
 
3.0%
1 473
11.3%

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

Distinct5
Distinct (%)0.4%
Missing2774
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean2.486870121
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.082322image/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 deviation1.579342655
Coefficient of variation (CV)0.6350724318
Kurtosis-1.322968594
Mean2.486870121
Median Absolute Deviation (MAD)1
Skewness0.5083628682
Sum3504
Variance2.494323222
MonotonicityNot monotonic
2025-02-26T17:42:02.123064image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 616
 
14.7%
5 273
 
6.5%
3 193
 
4.6%
2 182
 
4.4%
4 145
 
3.5%
(Missing) 2774
66.3%
ValueCountFrequency (%)
1 616
14.7%
2 182
 
4.4%
3 193
 
4.6%
4 145
 
3.5%
5 273
6.5%
ValueCountFrequency (%)
5 273
6.5%
4 145
 
3.5%
3 193
 
4.6%
2 182
 
4.4%
1 616
14.7%

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

Distinct5
Distinct (%)0.4%
Missing2772
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean2.564138909
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.163123image/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 deviation1.556716272
Coefficient of variation (CV)0.6071107408
Kurtosis-1.349367849
Mean2.564138909
Median Absolute Deviation (MAD)1
Skewness0.434472231
Sum3618
Variance2.423365552
MonotonicityNot monotonic
2025-02-26T17:42:02.204106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 551
 
13.2%
5 274
 
6.6%
2 223
 
5.3%
3 201
 
4.8%
4 162
 
3.9%
(Missing) 2772
66.3%
ValueCountFrequency (%)
1 551
13.2%
2 223
5.3%
3 201
 
4.8%
4 162
 
3.9%
5 274
6.6%
ValueCountFrequency (%)
5 274
6.6%
4 162
 
3.9%
3 201
 
4.8%
2 223
5.3%
1 551
13.2%

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

Distinct5
Distinct (%)0.4%
Missing2773
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean2.931205674
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.246116image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.673134895
Coefficient of variation (CV)0.5708009199
Kurtosis-1.653844411
Mean2.931205674
Median Absolute Deviation (MAD)2
Skewness0.05515923311
Sum4133
Variance2.799380376
MonotonicityNot monotonic
2025-02-26T17:42:02.290243image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 485
 
11.6%
5 426
 
10.2%
3 192
 
4.6%
4 164
 
3.9%
2 143
 
3.4%
(Missing) 2773
66.3%
ValueCountFrequency (%)
1 485
11.6%
2 143
 
3.4%
3 192
 
4.6%
4 164
 
3.9%
5 426
10.2%
ValueCountFrequency (%)
5 426
10.2%
4 164
 
3.9%
3 192
 
4.6%
2 143
 
3.4%
1 485
11.6%

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

Distinct5
Distinct (%)0.4%
Missing2769
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean2.914427157
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.330159image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.676752009
Coefficient of variation (CV)0.5753281585
Kurtosis-1.655432009
Mean2.914427157
Median Absolute Deviation (MAD)2
Skewness0.07753450382
Sum4121
Variance2.811497301
MonotonicityNot monotonic
2025-02-26T17:42:02.370967image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 492
 
11.8%
5 428
 
10.2%
3 191
 
4.6%
4 155
 
3.7%
2 148
 
3.5%
(Missing) 2769
66.2%
ValueCountFrequency (%)
1 492
11.8%
2 148
 
3.5%
3 191
 
4.6%
4 155
 
3.7%
5 428
10.2%
ValueCountFrequency (%)
5 428
10.2%
4 155
 
3.7%
3 191
 
4.6%
2 148
 
3.5%
1 492
11.8%

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

Distinct5
Distinct (%)0.4%
Missing2755
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean3.025210084
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.410475image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.673632533
Coefficient of variation (CV)0.5532285318
Kurtosis-1.662983943
Mean3.025210084
Median Absolute Deviation (MAD)2
Skewness-0.02100565851
Sum4320
Variance2.801045856
MonotonicityNot monotonic
2025-02-26T17:42:02.449937image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 468
 
11.2%
1 447
 
10.7%
3 175
 
4.2%
2 172
 
4.1%
4 166
 
4.0%
(Missing) 2755
65.9%
ValueCountFrequency (%)
1 447
10.7%
2 172
 
4.1%
3 175
 
4.2%
4 166
 
4.0%
5 468
11.2%
ValueCountFrequency (%)
5 468
11.2%
4 166
 
4.0%
3 175
 
4.2%
2 172
 
4.1%
1 447
10.7%

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

Distinct5
Distinct (%)0.4%
Missing2764
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean3.239605356
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.489743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.681756038
Coefficient of variation (CV)0.5191237367
Kurtosis-1.615239546
Mean3.239605356
Median Absolute Deviation (MAD)1
Skewness-0.2619591424
Sum4597
Variance2.82830337
MonotonicityNot monotonic
2025-02-26T17:42:02.529754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 538
 
12.9%
1 405
 
9.7%
4 197
 
4.7%
3 156
 
3.7%
2 123
 
2.9%
(Missing) 2764
66.1%
ValueCountFrequency (%)
1 405
9.7%
2 123
 
2.9%
3 156
 
3.7%
4 197
 
4.7%
5 538
12.9%
ValueCountFrequency (%)
5 538
12.9%
4 197
 
4.7%
3 156
 
3.7%
2 123
 
2.9%
1 405
9.7%

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

Distinct5
Distinct (%)0.4%
Missing2755
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean3.295518207
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.569909image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.692410884
Coefficient of variation (CV)0.5135492441
Kurtosis-1.604900699
Mean3.295518207
Median Absolute Deviation (MAD)1
Skewness-0.3098664358
Sum4706
Variance2.864254602
MonotonicityNot monotonic
2025-02-26T17:42:02.610528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 581
 
13.9%
1 398
 
9.5%
4 176
 
4.2%
3 153
 
3.7%
2 120
 
2.9%
(Missing) 2755
65.9%
ValueCountFrequency (%)
1 398
9.5%
2 120
 
2.9%
3 153
 
3.7%
4 176
 
4.2%
5 581
13.9%
ValueCountFrequency (%)
5 581
13.9%
4 176
 
4.2%
3 153
 
3.7%
2 120
 
2.9%
1 398
9.5%

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

Distinct5
Distinct (%)0.4%
Missing2770
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean3.310686483
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.650337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.673110247
Coefficient of variation (CV)0.5053665625
Kurtosis-1.577294206
Mean3.310686483
Median Absolute Deviation (MAD)1
Skewness-0.3088289161
Sum4678
Variance2.7992979
MonotonicityNot monotonic
2025-02-26T17:42:02.691799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 580
 
13.9%
1 372
 
8.9%
3 180
 
4.3%
4 152
 
3.6%
2 129
 
3.1%
(Missing) 2770
66.2%
ValueCountFrequency (%)
1 372
8.9%
2 129
 
3.1%
3 180
 
4.3%
4 152
 
3.6%
5 580
13.9%
ValueCountFrequency (%)
5 580
13.9%
4 152
 
3.6%
3 180
 
4.3%
2 129
 
3.1%
1 372
8.9%

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

Distinct5
Distinct (%)0.4%
Missing2761
Missing (%)66.0%
Infinite0
Infinite (%)0.0%
Mean3.021097046
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.732431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.665007473
Coefficient of variation (CV)0.5511267754
Kurtosis-1.653518277
Mean3.021097046
Median Absolute Deviation (MAD)2
Skewness-0.01150261116
Sum4296
Variance2.772249886
MonotonicityNot monotonic
2025-02-26T17:42:02.773360image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 461
 
11.0%
1 437
 
10.4%
2 183
 
4.4%
3 176
 
4.2%
4 165
 
3.9%
(Missing) 2761
66.0%
ValueCountFrequency (%)
1 437
10.4%
2 183
 
4.4%
3 176
 
4.2%
4 165
 
3.9%
5 461
11.0%
ValueCountFrequency (%)
5 461
11.0%
4 165
 
3.9%
3 176
 
4.2%
2 183
 
4.4%
1 437
10.4%

w1_G03_1
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created paintings, drawings, graphical works (by hand) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2757
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean2.810659187
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.812581image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.556171185
Coefficient of variation (CV)0.5536676922
Kurtosis-1.453560608
Mean2.810659187
Median Absolute Deviation (MAD)2
Skewness0.2274735962
Sum4008
Variance2.421668758
MonotonicityNot monotonic
2025-02-26T17:42:02.852788image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 425
 
10.2%
5 345
 
8.2%
2 266
 
6.4%
3 234
 
5.6%
4 156
 
3.7%
(Missing) 2757
65.9%
ValueCountFrequency (%)
1 425
10.2%
2 266
6.4%
3 234
5.6%
4 156
 
3.7%
5 345
8.2%
ValueCountFrequency (%)
5 345
8.2%
4 156
 
3.7%
3 234
5.6%
2 266
6.4%
1 425
10.2%

w1_G03_2
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created photographs as a hobby (excluding family and/or holiday pictures) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2768
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean2.76254417
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.891855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.51237583
Coefficient of variation (CV)0.5474576105
Kurtosis-1.37399963
Mean2.76254417
Median Absolute Deviation (MAD)2
Skewness0.2520035617
Sum3909
Variance2.287280651
MonotonicityNot monotonic
2025-02-26T17:42:02.931370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 423
 
10.1%
5 297
 
7.1%
3 261
 
6.2%
2 259
 
6.2%
4 175
 
4.2%
(Missing) 2768
66.2%
ValueCountFrequency (%)
1 423
10.1%
2 259
6.2%
3 261
6.2%
4 175
4.2%
5 297
7.1%
ValueCountFrequency (%)
5 297
7.1%
4 175
4.2%
3 261
6.2%
2 259
6.2%
1 423
10.1%

w1_G03_3
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Created sculptures, pottery, glass, jewels, textile works (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2773
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean2.079432624
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:02.971702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.46332102
Coefficient of variation (CV)0.7037116774
Kurtosis-0.6757588133
Mean2.079432624
Median Absolute Deviation (MAD)0
Skewness0.9441098139
Sum2932
Variance2.141308407
MonotonicityNot monotonic
2025-02-26T17:42:03.011850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 823
 
19.7%
5 161
 
3.8%
4 151
 
3.6%
3 150
 
3.6%
2 125
 
3.0%
(Missing) 2773
66.3%
ValueCountFrequency (%)
1 823
19.7%
2 125
 
3.0%
3 150
 
3.6%
4 151
 
3.6%
5 161
 
3.8%
ValueCountFrequency (%)
5 161
 
3.8%
4 151
 
3.6%
3 150
 
3.6%
2 125
 
3.0%
1 823
19.7%

w1_G03_4
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Written any poetry, prose, fiction or non-fiction in your leisure time (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2766
Missing (%)66.1%
Infinite0
Infinite (%)0.0%
Mean2.254763585
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.051913image/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 deviation1.490798128
Coefficient of variation (CV)0.6611771352
Kurtosis-0.9645876803
Mean2.254763585
Median Absolute Deviation (MAD)1
Skewness0.7497010576
Sum3195
Variance2.222479058
MonotonicityNot monotonic
2025-02-26T17:42:03.093374image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 702
 
16.8%
2 196
 
4.7%
5 193
 
4.6%
3 168
 
4.0%
4 158
 
3.8%
(Missing) 2766
66.1%
ValueCountFrequency (%)
1 702
16.8%
2 196
 
4.7%
3 168
 
4.0%
4 158
 
3.8%
5 193
 
4.6%
ValueCountFrequency (%)
5 193
 
4.6%
4 158
 
3.8%
3 168
 
4.0%
2 196
 
4.7%
1 702
16.8%

w1_G03_5
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Had a blog or an own website on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2777
Missing (%)66.4%
Infinite0
Infinite (%)0.0%
Mean1.92745377
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.133908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.439305953
Coefficient of variation (CV)0.746739546
Kurtosis-0.1842002454
Mean1.92745377
Median Absolute Deviation (MAD)0
Skewness1.191407183
Sum2710
Variance2.071601626
MonotonicityNot monotonic
2025-02-26T17:42:03.174441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 925
 
22.1%
5 157
 
3.8%
3 124
 
3.0%
4 114
 
2.7%
2 86
 
2.1%
(Missing) 2777
66.4%
ValueCountFrequency (%)
1 925
22.1%
2 86
 
2.1%
3 124
 
3.0%
4 114
 
2.7%
5 157
 
3.8%
ValueCountFrequency (%)
5 157
 
3.8%
4 114
 
2.7%
3 124
 
3.0%
2 86
 
2.1%
1 925
22.1%

w1_G03_6
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) on paper (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2780
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean1.65787598
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.213741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.296813958
Coefficient of variation (CV)0.7822140941
Kurtosis1.480706913
Mean1.65787598
Median Absolute Deviation (MAD)0
Skewness1.74835143
Sum2326
Variance1.681726441
MonotonicityNot monotonic
2025-02-26T17:42:03.255589image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1064
 
25.4%
5 120
 
2.9%
4 77
 
1.8%
2 72
 
1.7%
3 70
 
1.7%
(Missing) 2780
66.5%
ValueCountFrequency (%)
1 1064
25.4%
2 72
 
1.7%
3 70
 
1.7%
4 77
 
1.8%
5 120
 
2.9%
ValueCountFrequency (%)
5 120
 
2.9%
4 77
 
1.8%
3 70
 
1.7%
2 72
 
1.7%
1 1064
25.4%

w1_G03_7
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Published your own work (novel) in whatever form on the internet (including weblogs, ezines, and other internet publications) (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2783
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean1.706428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.295544image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.330980748
Coefficient of variation (CV)0.7799803463
Kurtosis1.06305214
Mean1.706428571
Median Absolute Deviation (MAD)0
Skewness1.630623653
Sum2389
Variance1.771509752
MonotonicityNot monotonic
2025-02-26T17:42:03.336593image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 1038
 
24.8%
5 127
 
3.0%
4 86
 
2.1%
2 75
 
1.8%
3 74
 
1.8%
(Missing) 2783
66.5%
ValueCountFrequency (%)
1 1038
24.8%
2 75
 
1.8%
3 74
 
1.8%
4 86
 
2.1%
5 127
 
3.0%
ValueCountFrequency (%)
5 127
 
3.0%
4 86
 
2.1%
3 74
 
1.8%
2 75
 
1.8%
1 1038
24.8%

w1_G03_8
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded your own film(s) or video(s) on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2775
Missing (%)66.3%
Infinite0
Infinite (%)0.0%
Mean1.916193182
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.376389image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.448011846
Coefficient of variation (CV)0.7556711189
Kurtosis-0.09603995854
Mean1.916193182
Median Absolute Deviation (MAD)0
Skewness1.237900685
Sum2698
Variance2.096738305
MonotonicityNot monotonic
2025-02-26T17:42:03.416015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 930
 
22.2%
5 167
 
4.0%
4 108
 
2.6%
2 108
 
2.6%
3 95
 
2.3%
(Missing) 2775
66.3%
ValueCountFrequency (%)
1 930
22.2%
2 108
 
2.6%
3 95
 
2.3%
4 108
 
2.6%
5 167
 
4.0%
ValueCountFrequency (%)
5 167
 
4.0%
4 108
 
2.6%
3 95
 
2.3%
2 108
 
2.6%
1 930
22.2%

w1_G03_9
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded images of your work of visual arts and crafts on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2780
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean2.208125445
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.456216image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.566688579
Coefficient of variation (CV)0.7095106765
Kurtosis-0.9639203714
Mean2.208125445
Median Absolute Deviation (MAD)0
Skewness0.8341429912
Sum3098
Variance2.454513103
MonotonicityNot monotonic
2025-02-26T17:42:03.495787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 778
 
18.6%
5 233
 
5.6%
2 149
 
3.6%
4 128
 
3.1%
3 115
 
2.7%
(Missing) 2780
66.5%
ValueCountFrequency (%)
1 778
18.6%
2 149
 
3.6%
3 115
 
2.7%
4 128
 
3.1%
5 233
 
5.6%
ValueCountFrequency (%)
5 233
 
5.6%
4 128
 
3.1%
3 115
 
2.7%
2 149
 
3.6%
1 778
18.6%

w1_G03_10
Real number (ℝ)

Missing 

Have you done any of the following activities during the last year or so?: Uploaded either your own performance or performance of your company, ensemble, or group on the internet (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2784
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean2.010007148
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.535068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.477019943
Coefficient of variation (CV)0.7348331792
Kurtosis-0.4258387059
Mean2.010007148
Median Absolute Deviation (MAD)0
Skewness1.085849429
Sum2812
Variance2.181587911
MonotonicityNot monotonic
2025-02-26T17:42:03.575598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 871
 
20.8%
5 180
 
4.3%
3 131
 
3.1%
2 110
 
2.6%
4 107
 
2.6%
(Missing) 2784
66.6%
ValueCountFrequency (%)
1 871
20.8%
2 110
 
2.6%
3 131
 
3.1%
4 107
 
2.6%
5 180
 
4.3%
ValueCountFrequency (%)
5 180
 
4.3%
4 107
 
2.6%
3 131
 
3.1%
2 110
 
2.6%
1 871
20.8%

w1_G04_1
Real number (ℝ)

Missing 

During the last year or so... Did you view paintings, drawings, graphical works, photos, and sculptures, products of crafts or virtual exhibitions of visual arts or crafts (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2778
Missing (%)66.4%
Infinite0
Infinite (%)0.0%
Mean3.195729537
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.614774image/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 deviation1.540797139
Coefficient of variation (CV)0.4821425347
Kurtosis-1.477979906
Mean3.195729537
Median Absolute Deviation (MAD)2
Skewness-0.1206483685
Sum4490
Variance2.374055824
MonotonicityNot monotonic
2025-02-26T17:42:03.721151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 462
 
11.0%
1 283
 
6.8%
3 253
 
6.0%
2 245
 
5.9%
4 162
 
3.9%
(Missing) 2778
66.4%
ValueCountFrequency (%)
1 283
6.8%
2 245
5.9%
3 253
6.0%
4 162
 
3.9%
5 462
11.0%
ValueCountFrequency (%)
5 462
11.0%
4 162
 
3.9%
3 253
6.0%
2 245
5.9%
1 283
6.8%

w1_G04_2
Real number (ℝ)

Missing 

During the last year or so... Did you view or listen to a programme about visual arts and crafts (on television, radio, video, DVD, internet, or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2780
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean3.084818247
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.760700image/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 deviation1.52368524
Coefficient of variation (CV)0.4939303124
Kurtosis-1.458903619
Mean3.084818247
Median Absolute Deviation (MAD)2
Skewness-0.03555510692
Sum4328
Variance2.321616711
MonotonicityNot monotonic
2025-02-26T17:42:03.800703image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 397
 
9.5%
1 308
 
7.4%
3 253
 
6.0%
2 252
 
6.0%
4 193
 
4.6%
(Missing) 2780
66.5%
ValueCountFrequency (%)
1 308
7.4%
2 252
6.0%
3 253
6.0%
4 193
4.6%
5 397
9.5%
ValueCountFrequency (%)
5 397
9.5%
4 193
4.6%
3 253
6.0%
2 252
6.0%
1 308
7.4%

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 (%)0.4%
Missing2792
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean2.306254493
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.839468image/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 deviation1.43780798
Coefficient of variation (CV)0.6234385601
Kurtosis-1.110799052
Mean2.306254493
Median Absolute Deviation (MAD)1
Skewness0.6011038191
Sum3208
Variance2.067291788
MonotonicityNot monotonic
2025-02-26T17:42:03.879859image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 642
 
15.3%
4 221
 
5.3%
3 200
 
4.8%
2 186
 
4.4%
5 142
 
3.4%
(Missing) 2792
66.7%
ValueCountFrequency (%)
1 642
15.3%
2 186
 
4.4%
3 200
 
4.8%
4 221
 
5.3%
5 142
 
3.4%
ValueCountFrequency (%)
5 142
 
3.4%
4 221
 
5.3%
3 200
 
4.8%
2 186
 
4.4%
1 642
15.3%

w1_G04_4
Real number (ℝ)

Missing 

During the last year or so... Did you visit galleries or exhibitions in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2795
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean2.246397695
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:03.920275image/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 deviation1.439912075
Coefficient of variation (CV)0.6409871584
Kurtosis-1.024200991
Mean2.246397695
Median Absolute Deviation (MAD)1
Skewness0.6780235736
Sum3118
Variance2.073346783
MonotonicityNot monotonic
2025-02-26T17:42:03.961256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 683
 
16.3%
4 200
 
4.8%
3 199
 
4.8%
2 164
 
3.9%
5 142
 
3.4%
(Missing) 2795
66.8%
ValueCountFrequency (%)
1 683
16.3%
2 164
 
3.9%
3 199
 
4.8%
4 200
 
4.8%
5 142
 
3.4%
ValueCountFrequency (%)
5 142
 
3.4%
4 200
 
4.8%
3 199
 
4.8%
2 164
 
3.9%
1 683
16.3%

w1_G04_5
Real number (ℝ)

Missing 

During the last year or so... Did you visit monuments, historical or artistic places, famous buildings or archaeological sites in your own country or abroad? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2791
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean2.407327586
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.002151image/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 deviation1.434915653
Coefficient of variation (CV)0.5960616501
Kurtosis-1.136961733
Mean2.407327586
Median Absolute Deviation (MAD)1
Skewness0.5139463596
Sum3351
Variance2.058982932
MonotonicityNot monotonic
2025-02-26T17:42:04.043143image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 572
 
13.7%
3 247
 
5.9%
2 209
 
5.0%
4 200
 
4.8%
5 164
 
3.9%
(Missing) 2791
66.7%
ValueCountFrequency (%)
1 572
13.7%
2 209
 
5.0%
3 247
5.9%
4 200
 
4.8%
5 164
 
3.9%
ValueCountFrequency (%)
5 164
 
3.9%
4 200
 
4.8%
3 247
5.9%
2 209
 
5.0%
1 572
13.7%

w1_G04_6
Real number (ℝ)

Missing 

During the last year or so... Did you view virtual exhibitions of art or any kind of museum objects, monuments, historical or artistic places, buildings or sites (on the internet or other media)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2796
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean2.370583994
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.083757image/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 deviation1.467178145
Coefficient of variation (CV)0.618910002
Kurtosis-1.185521977
Mean2.370583994
Median Absolute Deviation (MAD)1
Skewness0.5409411335
Sum3288
Variance2.152611708
MonotonicityNot monotonic
2025-02-26T17:42:04.124305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 623
 
14.9%
3 221
 
5.3%
4 209
 
5.0%
2 168
 
4.0%
5 166
 
4.0%
(Missing) 2796
66.8%
ValueCountFrequency (%)
1 623
14.9%
2 168
 
4.0%
3 221
 
5.3%
4 209
 
5.0%
5 166
 
4.0%
ValueCountFrequency (%)
5 166
 
4.0%
4 209
 
5.0%
3 221
 
5.3%
2 168
 
4.0%
1 623
14.9%

w1_G04_7
Real number (ℝ)

Missing 

During the last year or so... Did you make at least one film or one video as an artistic hobby (thus excluding family and holidays films or videos)? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2796
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean2.090843547
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.164128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.473320629
Coefficient of variation (CV)0.7046536937
Kurtosis-0.717718803
Mean2.090843547
Median Absolute Deviation (MAD)0
Skewness0.9328685118
Sum2900
Variance2.170673675
MonotonicityNot monotonic
2025-02-26T17:42:04.204185image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 804
 
19.2%
5 161
 
3.8%
4 160
 
3.8%
2 135
 
3.2%
3 127
 
3.0%
(Missing) 2796
66.8%
ValueCountFrequency (%)
1 804
19.2%
2 135
 
3.2%
3 127
 
3.0%
4 160
 
3.8%
5 161
 
3.8%
ValueCountFrequency (%)
5 161
 
3.8%
4 160
 
3.8%
3 127
 
3.0%
2 135
 
3.2%
1 804
19.2%

w1_G04_8
Real number (ℝ)

Missing 

During the last year or so... Did you go to the cinema or a film festival in your own country? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2786
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean2.530422334
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.244704image/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 deviation1.529077538
Coefficient of variation (CV)0.6042776012
Kurtosis-1.300387883
Mean2.530422334
Median Absolute Deviation (MAD)1
Skewness0.4540190734
Sum3535
Variance2.338078117
MonotonicityNot monotonic
2025-02-26T17:42:04.285888image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 549
 
13.1%
5 245
 
5.9%
2 222
 
5.3%
3 207
 
4.9%
4 174
 
4.2%
(Missing) 2786
66.6%
ValueCountFrequency (%)
1 549
13.1%
2 222
5.3%
3 207
 
4.9%
4 174
 
4.2%
5 245
5.9%
ValueCountFrequency (%)
5 245
5.9%
4 174
 
4.2%
3 207
 
4.9%
2 222
5.3%
1 549
13.1%

w1_G04_9
Real number (ℝ)

Missing 

During the last year or so... Did you visit a zoo or animal park? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2786
Missing (%)66.6%
Infinite0
Infinite (%)0.0%
Mean2.438081603
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.325550image/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 deviation1.456113989
Coefficient of variation (CV)0.5972375935
Kurtosis-1.188465841
Mean2.438081603
Median Absolute Deviation (MAD)1
Skewness0.4964300817
Sum3406
Variance2.12026795
MonotonicityNot monotonic
2025-02-26T17:42:04.366142image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 564
 
13.5%
2 223
 
5.3%
3 222
 
5.3%
4 210
 
5.0%
5 178
 
4.3%
(Missing) 2786
66.6%
ValueCountFrequency (%)
1 564
13.5%
2 223
 
5.3%
3 222
 
5.3%
4 210
 
5.0%
5 178
 
4.3%
ValueCountFrequency (%)
5 178
 
4.3%
4 210
 
5.0%
3 222
 
5.3%
2 223
 
5.3%
1 564
13.5%

w1_G04_10
Real number (ℝ)

Missing 

During the last year or so... Did you visit a natural reserve? (1) Never, (2) ... , (5) Very often

Distinct5
Distinct (%)0.4%
Missing2788
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean2.435125448
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.405337image/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 deviation1.471118133
Coefficient of variation (CV)0.6041241669
Kurtosis-1.225839459
Mean2.435125448
Median Absolute Deviation (MAD)1
Skewness0.4869130089
Sum3397
Variance2.16418856
MonotonicityNot monotonic
2025-02-26T17:42:04.446070image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 583
 
13.9%
3 222
 
5.3%
4 214
 
5.1%
2 196
 
4.7%
5 180
 
4.3%
(Missing) 2788
66.7%
ValueCountFrequency (%)
1 583
13.9%
2 196
 
4.7%
3 222
 
5.3%
4 214
 
5.1%
5 180
 
4.3%
ValueCountFrequency (%)
5 180
 
4.3%
4 214
 
5.1%
3 222
 
5.3%
2 196
 
4.7%
1 583
13.9%

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

Distinct5
Distinct (%)0.4%
Missing2804
Missing (%)67.0%
Infinite0
Infinite (%)0.0%
Mean2.863669326
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.486770image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.473611578
Coefficient of variation (CV)0.5145885962
Kurtosis-1.345717119
Mean2.863669326
Median Absolute Deviation (MAD)1
Skewness0.1638241074
Sum3949
Variance2.171531084
MonotonicityNot monotonic
2025-02-26T17:42:04.528446image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 346
 
8.3%
5 293
 
7.0%
3 278
 
6.6%
2 272
 
6.5%
4 190
 
4.5%
(Missing) 2804
67.0%
ValueCountFrequency (%)
1 346
8.3%
2 272
6.5%
3 278
6.6%
4 190
4.5%
5 293
7.0%
ValueCountFrequency (%)
5 293
7.0%
4 190
4.5%
3 278
6.6%
2 272
6.5%
1 346
8.3%

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

Distinct5
Distinct (%)0.4%
Missing2809
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean3.443231441
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.570586image/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 deviation1.492167473
Coefficient of variation (CV)0.4333625254
Kurtosis-1.286327478
Mean3.443231441
Median Absolute Deviation (MAD)1
Skewness-0.4056207186
Sum4731
Variance2.226563767
MonotonicityNot monotonic
2025-02-26T17:42:04.612873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 507
 
12.1%
4 228
 
5.5%
3 225
 
5.4%
1 219
 
5.2%
2 195
 
4.7%
(Missing) 2809
67.2%
ValueCountFrequency (%)
1 219
5.2%
2 195
 
4.7%
3 225
5.4%
4 228
5.5%
5 507
12.1%
ValueCountFrequency (%)
5 507
12.1%
4 228
5.5%
3 225
5.4%
2 195
 
4.7%
1 219
5.2%

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

Distinct6
Distinct (%)0.5%
Missing2943
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean3.172580645
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.653899image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q34
95-th percentile6
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.471018859
Coefficient of variation (CV)0.4636663408
Kurtosis0.3576642096
Mean3.172580645
Median Absolute Deviation (MAD)1
Skewness1.172184895
Sum3934
Variance2.163896483
MonotonicityNot monotonic
2025-02-26T17:42:04.692317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 593
 
14.2%
3 251
 
6.0%
4 174
 
4.2%
5 92
 
2.2%
6 71
 
1.7%
7 59
 
1.4%
(Missing) 2943
70.4%
ValueCountFrequency (%)
2 593
14.2%
3 251
6.0%
4 174
 
4.2%
5 92
 
2.2%
6 71
 
1.7%
ValueCountFrequency (%)
7 59
 
1.4%
6 71
 
1.7%
5 92
 
2.2%
4 174
4.2%
3 251
6.0%

w1_G07_1
Real number (ℝ)

Missing 

During the last year or so... Did you read a printed book in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.1%
Missing2704
Missing (%)64.6%
Infinite0
Infinite (%)0.0%
Mean1.272481406
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.729540image/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 deviation0.4453868134
Coefficient of variation (CV)0.350014398
Kurtosis-0.9546597729
Mean1.272481406
Median Absolute Deviation (MAD)0
Skewness1.023050835
Sum1882
Variance0.1983694136
MonotonicityNot monotonic
2025-02-26T17:42:04.768242image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 1076
 
25.7%
2 403
 
9.6%
(Missing) 2704
64.6%
ValueCountFrequency (%)
1 1076
25.7%
2 403
 
9.6%
ValueCountFrequency (%)
2 403
 
9.6%
1 1076
25.7%

w1_G07_2
Real number (ℝ)

Missing 

During the last year or so... Did you read a book in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? [If YES go to G17] (1) Yes; (2) No

Distinct2
Distinct (%)0.1%
Missing2704
Missing (%)64.6%
Infinite0
Infinite (%)0.0%
Mean1.36984449
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:04.804664image/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 deviation0.482925697
Coefficient of variation (CV)0.3525405261
Kurtosis-1.710975711
Mean1.36984449
Median Absolute Deviation (MAD)0
Skewness0.5397590327
Sum2026
Variance0.2332172288
MonotonicityNot monotonic
2025-02-26T17:42:04.841897image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 932
 
22.3%
2 547
 
13.1%
(Missing) 2704
64.6%
ValueCountFrequency (%)
1 932
22.3%
2 547
13.1%
ValueCountFrequency (%)
2 547
13.1%
1 932
22.3%

w1_G08_1
Boolean

Missing 

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

Distinct2
Distinct (%)0.2%
Missing2955
Missing (%)70.6%
Memory size8.3 KiB
True
638 
False
590 
(Missing)
2955 
ValueCountFrequency (%)
True 638
 
15.3%
False 590
 
14.1%
(Missing) 2955
70.6%
2025-02-26T17:42:04.877149image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_2
Boolean

Missing 

Which kind of books did you read? (tick all that apply): Science Fiction & Fantasy

Distinct2
Distinct (%)0.2%
Missing2955
Missing (%)70.6%
Memory size8.3 KiB
True
629 
False
599 
(Missing)
2955 
ValueCountFrequency (%)
True 629
 
15.0%
False 599
 
14.3%
(Missing) 2955
70.6%
2025-02-26T17:42:04.909884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_3
Boolean

Missing 

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

Distinct2
Distinct (%)0.2%
Missing2955
Missing (%)70.6%
Memory size8.3 KiB
False
615 
True
613 
(Missing)
2955 
ValueCountFrequency (%)
False 615
 
14.7%
True 613
 
14.7%
(Missing) 2955
70.6%
2025-02-26T17:42:04.943397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_4
Boolean

Missing 

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

Distinct2
Distinct (%)0.2%
Missing2955
Missing (%)70.6%
Memory size8.3 KiB
False
972 
True
 
256
(Missing)
2955 
ValueCountFrequency (%)
False 972
 
23.2%
True 256
 
6.1%
(Missing) 2955
70.6%
2025-02-26T17:42:04.976102image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_5
Boolean

Missing 

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

Distinct2
Distinct (%)0.2%
Missing2955
Missing (%)70.6%
Memory size8.3 KiB
False
958 
True
 
270
(Missing)
2955 
ValueCountFrequency (%)
False 958
 
22.9%
True 270
 
6.5%
(Missing) 2955
70.6%
2025-02-26T17:42:05.008773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_6
Boolean

Missing 

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

Distinct2
Distinct (%)0.2%
Missing2955
Missing (%)70.6%
Memory size8.3 KiB
False
886 
True
342 
(Missing)
2955 
ValueCountFrequency (%)
False 886
 
21.2%
True 342
 
8.2%
(Missing) 2955
70.6%
2025-02-26T17:42:05.042865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G08_7
Boolean

Missing 

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

Distinct2
Distinct (%)0.2%
Missing2955
Missing (%)70.6%
Memory size8.3 KiB
False
873 
True
355 
(Missing)
2955 
ValueCountFrequency (%)
False 873
 
20.9%
True 355
 
8.5%
(Missing) 2955
70.6%
2025-02-26T17:42:05.075943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w1_G09
Real number (ℝ)

Missing  Skewed 

In the last year or so, approximately how many books have you read (not for study)? |__|__|

Distinct46
Distinct (%)5.4%
Missing3324
Missing (%)79.5%
Infinite0
Infinite (%)0.0%
Mean21.15948778
Minimum0
Maximum8909
Zeros19
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:05.119556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q310
95-th percentile32.2
Maximum8909
Range8909
Interquartile range (IQR)8

Descriptive statistics

Standard deviation305.1292079
Coefficient of variation (CV)14.42044397
Kurtosis841.8910229
Mean21.15948778
Median Absolute Deviation (MAD)3
Skewness28.88047441
Sum18176
Variance93103.83351
MonotonicityNot monotonic
2025-02-26T17:42:05.167524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2 155
 
3.7%
3 107
 
2.6%
5 107
 
2.6%
10 76
 
1.8%
4 68
 
1.6%
1 62
 
1.5%
6 49
 
1.2%
7 28
 
0.7%
8 25
 
0.6%
20 19
 
0.5%
Other values (36) 163
 
3.9%
(Missing) 3324
79.5%
ValueCountFrequency (%)
0 19
 
0.5%
1 62
 
1.5%
2 155
3.7%
3 107
2.6%
4 68
1.6%
ValueCountFrequency (%)
8909 1
 
< 0.1%
500 1
 
< 0.1%
400 1
 
< 0.1%
378 1
 
< 0.1%
200 3
0.1%

w1_G10_1
Real number (ℝ)

Missing 

Do you read printed magazines and/or periodicals in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.4%
Missing2839
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean4.014880952
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:05.206603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.547871592
Coefficient of variation (CV)0.385533621
Kurtosis-1.011304728
Mean4.014880952
Median Absolute Deviation (MAD)1
Skewness-0.3409593788
Sum5396
Variance2.395906464
MonotonicityNot monotonic
2025-02-26T17:42:05.246749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
5 341
 
8.2%
6 277
 
6.6%
3 257
 
6.1%
4 206
 
4.9%
2 171
 
4.1%
1 92
 
2.2%
(Missing) 2839
67.9%
ValueCountFrequency (%)
1 92
 
2.2%
2 171
4.1%
3 257
6.1%
4 206
4.9%
5 341
8.2%
ValueCountFrequency (%)
6 277
6.6%
5 341
8.2%
4 206
4.9%
3 257
6.1%
2 171
4.1%

w1_G10_2
Real number (ℝ)

Missing 

Do you read magazines and/or periodicals in digital form (i.e., on the internet, downloaded from the internet) in your leisure time? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.4%
Missing2845
Missing (%)68.0%
Infinite0
Infinite (%)0.0%
Mean4.036621824
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:05.286244image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.604314846
Coefficient of variation (CV)0.3974399675
Kurtosis-1.079098153
Mean4.036621824
Median Absolute Deviation (MAD)1
Skewness-0.3535830567
Sum5401
Variance2.573826126
MonotonicityNot monotonic
2025-02-26T17:42:05.325999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 316
 
7.6%
5 315
 
7.5%
3 241
 
5.8%
4 189
 
4.5%
2 174
 
4.2%
1 103
 
2.5%
(Missing) 2845
68.0%
ValueCountFrequency (%)
1 103
 
2.5%
2 174
4.2%
3 241
5.8%
4 189
4.5%
5 315
7.5%
ValueCountFrequency (%)
6 316
7.6%
5 315
7.5%
4 189
4.5%
3 241
5.8%
2 174
4.2%

w1_G10_3
Real number (ℝ)

Missing 

Do you read printed newspapers? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.4%
Missing2842
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean3.011931394
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:05.363731image/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 deviation1.799628713
Coefficient of variation (CV)0.5974999021
Kurtosis-1.224045314
Mean3.011931394
Median Absolute Deviation (MAD)2
Skewness0.4414571112
Sum4039
Variance3.238663506
MonotonicityNot monotonic
2025-02-26T17:42:05.403339image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 369
 
8.8%
2 287
 
6.9%
3 214
 
5.1%
6 198
 
4.7%
5 174
 
4.2%
4 99
 
2.4%
(Missing) 2842
67.9%
ValueCountFrequency (%)
1 369
8.8%
2 287
6.9%
3 214
5.1%
4 99
 
2.4%
5 174
4.2%
ValueCountFrequency (%)
6 198
4.7%
5 174
4.2%
4 99
 
2.4%
3 214
5.1%
2 287
6.9%

w1_G10_4
Real number (ℝ)

Missing 

Do you read newspapers in digital form (i.e., on the internet, downloaded from the internet)? (1) At least five times a week, (2) Every week or almost every week, (3) Few times a month, (4) Once a month, (5) Less often, (6) Never

Distinct6
Distinct (%)0.4%
Missing2840
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean3.134772897
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:05.440770image/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 deviation1.827633169
Coefficient of variation (CV)0.583019322
Kurtosis-1.338595615
Mean3.134772897
Median Absolute Deviation (MAD)2
Skewness0.3502671292
Sum4210
Variance3.340243
MonotonicityNot monotonic
2025-02-26T17:42:05.480598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 334
 
8.0%
2 301
 
7.2%
6 224
 
5.4%
3 194
 
4.6%
5 188
 
4.5%
4 102
 
2.4%
(Missing) 2840
67.9%
ValueCountFrequency (%)
1 334
8.0%
2 301
7.2%
3 194
4.6%
4 102
 
2.4%
5 188
4.5%
ValueCountFrequency (%)
6 224
5.4%
5 188
4.5%
4 102
 
2.4%
3 194
4.6%
2 301
7.2%

w1_G11_1
Real number (ℝ)

Missing 

Do you watch films on television, videos, DVD, internet, or other media? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.4%
Missing2820
Missing (%)67.4%
Infinite0
Infinite (%)0.0%
Mean1.969919296
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:05.517531image/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 deviation1.013769623
Coefficient of variation (CV)0.5146249519
Kurtosis0.5091943071
Mean1.969919296
Median Absolute Deviation (MAD)1
Skewness1.021451778
Sum2685
Variance1.027728848
MonotonicityNot monotonic
2025-02-26T17:42:05.558583image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 525
 
12.6%
2 519
 
12.4%
3 185
 
4.4%
4 103
 
2.5%
5 31
 
0.7%
(Missing) 2820
67.4%
ValueCountFrequency (%)
1 525
12.6%
2 519
12.4%
3 185
 
4.4%
4 103
 
2.5%
5 31
 
0.7%
ValueCountFrequency (%)
5 31
 
0.7%
4 103
 
2.5%
3 185
 
4.4%
2 519
12.4%
1 525
12.6%

w1_G11_2
Real number (ℝ)

Missing 

Do you download films from the internet? (1) Every day or almost every day, (2) Few times a week, (3) Few times a month, (4) Less than once a month, (5) Never

Distinct5
Distinct (%)0.4%
Missing2823
Missing (%)67.5%
Infinite0
Infinite (%)0.0%
Mean2.799264706
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:05.598125image/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 deviation1.332836349
Coefficient of variation (CV)0.4761380181
Kurtosis-1.182231001
Mean2.799264706
Median Absolute Deviation (MAD)1
Skewness0.2196841936
Sum3807
Variance1.776452733
MonotonicityNot monotonic
2025-02-26T17:42:05.637724image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 400
 
9.6%
4 289
 
6.9%
1 263
 
6.3%
3 226
 
5.4%
5 182
 
4.4%
(Missing) 2823
67.5%
ValueCountFrequency (%)
1 263
6.3%
2 400
9.6%
3 226
5.4%
4 289
6.9%
5 182
4.4%
ValueCountFrequency (%)
5 182
4.4%
4 289
6.9%
3 226
5.4%
2 400
9.6%
1 263
6.3%

w1_H01f
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)0.7%
Missing2788
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean5.434408602
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:05.678481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.968683876
Coefficient of variation (CV)0.3622627631
Kurtosis0.1991126684
Mean5.434408602
Median Absolute Deviation (MAD)1
Skewness0.2143516089
Sum7581
Variance3.875716203
MonotonicityNot monotonic
2025-02-26T17:42:05.714631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 422
 
10.1%
6 290
 
6.9%
3 153
 
3.7%
4 124
 
3.0%
7 120
 
2.9%
8 107
 
2.6%
10 65
 
1.6%
1 43
 
1.0%
2 36
 
0.9%
9 35
 
0.8%
(Missing) 2788
66.7%
ValueCountFrequency (%)
1 43
 
1.0%
2 36
 
0.9%
3 153
 
3.7%
4 124
 
3.0%
5 422
10.1%
ValueCountFrequency (%)
10 65
 
1.6%
9 35
 
0.8%
8 107
 
2.6%
7 120
2.9%
6 290
6.9%

w1_H01f_other
Text

Missing 

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

Distinct51
Distinct (%)81.0%
Missing4120
Missing (%)98.5%
Memory size34.1 KiB
2025-02-26T17:42:05.822248image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length59
Median length34
Mean length13.01587302
Min length1

Characters and Unicode

Total characters820
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)71.4%

Sample

1st rowB.Arch
2nd rowProfessional degree
3rd rowDiploma in Homoeopathic Medicine and Surgery
4th rowMba
5th rowBA, LLB
ValueCountFrequency (%)
diploma 17
 
13.2%
degree 7
 
5.4%
in 7
 
5.4%
mba 5
 
3.9%
engineering 4
 
3.1%
professional 3
 
2.3%
and 3
 
2.3%
mechanical 3
 
2.3%
post 3
 
2.3%
mphil 2
 
1.6%
Other values (69) 75
58.1%
2025-02-26T17:42:05.994245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 84
 
10.2%
66
 
8.0%
i 64
 
7.8%
a 61
 
7.4%
o 49
 
6.0%
n 44
 
5.4%
l 39
 
4.8%
r 39
 
4.8%
c 31
 
3.8%
t 31
 
3.8%
Other values (42) 312
38.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 820
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 84
 
10.2%
66
 
8.0%
i 64
 
7.8%
a 61
 
7.4%
o 49
 
6.0%
n 44
 
5.4%
l 39
 
4.8%
r 39
 
4.8%
c 31
 
3.8%
t 31
 
3.8%
Other values (42) 312
38.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 820
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 84
 
10.2%
66
 
8.0%
i 64
 
7.8%
a 61
 
7.4%
o 49
 
6.0%
n 44
 
5.4%
l 39
 
4.8%
r 39
 
4.8%
c 31
 
3.8%
t 31
 
3.8%
Other values (42) 312
38.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 820
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 84
 
10.2%
66
 
8.0%
i 64
 
7.8%
a 61
 
7.4%
o 49
 
6.0%
n 44
 
5.4%
l 39
 
4.8%
r 39
 
4.8%
c 31
 
3.8%
t 31
 
3.8%
Other values (42) 312
38.0%

w1_H01m
Real number (ℝ)

Missing 

Which is/was the highest educational level of your father or guardian …? 1. Primary education 2. Lower secondary education 3. Upper secondary education 4. Post-secondary non-tertiary education 5. First stage of tertiary education (undergraduate qualification: BA) 6. Second stage of tertiary education (graduate degree qualification: MA) 7. Higher tertiary education (post-graduate degree qualification: Doctoral degree) 8. Prefer not to say 9. Don’t know 10. Other, please specify: _____

Distinct10
Distinct (%)0.7%
Missing2795
Missing (%)66.8%
Infinite0
Infinite (%)0.0%
Mean5.346541787
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:06.043180image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q36
95-th percentile9
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.873488509
Coefficient of variation (CV)0.3504112721
Kurtosis0.4413614642
Mean5.346541787
Median Absolute Deviation (MAD)1
Skewness0.1284658671
Sum7421
Variance3.509959193
MonotonicityNot monotonic
2025-02-26T17:42:06.080981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 449
 
10.7%
6 316
 
7.6%
3 139
 
3.3%
4 121
 
2.9%
7 103
 
2.5%
8 96
 
2.3%
1 48
 
1.1%
10 43
 
1.0%
9 38
 
0.9%
2 35
 
0.8%
(Missing) 2795
66.8%
ValueCountFrequency (%)
1 48
 
1.1%
2 35
 
0.8%
3 139
 
3.3%
4 121
 
2.9%
5 449
10.7%
ValueCountFrequency (%)
10 43
 
1.0%
9 38
 
0.9%
8 96
 
2.3%
7 103
 
2.5%
6 316
7.6%

w1_H01m_other
Text

Missing 

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

Distinct39
Distinct (%)92.9%
Missing4141
Missing (%)99.0%
Memory size33.7 KiB
2025-02-26T17:42:06.236147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length61
Median length18.5
Mean length9.738095238
Min length1

Characters and Unicode

Total characters409
Distinct characters45
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

Unique36 ?
Unique (%)85.7%

Sample

1st rowB.Tech
2nd rowProfessional degree
3rd rowDpharm
4th rowMba
5th rowM.Phil
ValueCountFrequency (%)
bsc 6
 
7.9%
in 5
 
6.6%
diploma 3
 
3.9%
degree 3
 
3.9%
nursing 3
 
3.9%
b.tech 2
 
2.6%
llb 2
 
2.6%
professional 2
 
2.6%
mba 2
 
2.6%
bed 2
 
2.6%
Other values (44) 46
60.5%
2025-02-26T17:42:06.388046image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 39
 
9.5%
34
 
8.3%
c 22
 
5.4%
r 22
 
5.4%
s 22
 
5.4%
d 22
 
5.4%
B 21
 
5.1%
a 21
 
5.1%
n 21
 
5.1%
i 19
 
4.6%
Other values (35) 166
40.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 409
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 39
 
9.5%
34
 
8.3%
c 22
 
5.4%
r 22
 
5.4%
s 22
 
5.4%
d 22
 
5.4%
B 21
 
5.1%
a 21
 
5.1%
n 21
 
5.1%
i 19
 
4.6%
Other values (35) 166
40.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 409
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 39
 
9.5%
34
 
8.3%
c 22
 
5.4%
r 22
 
5.4%
s 22
 
5.4%
d 22
 
5.4%
B 21
 
5.1%
a 21
 
5.1%
n 21
 
5.1%
i 19
 
4.6%
Other values (35) 166
40.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 409
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 39
 
9.5%
34
 
8.3%
c 22
 
5.4%
r 22
 
5.4%
s 22
 
5.4%
d 22
 
5.4%
B 21
 
5.1%
a 21
 
5.1%
n 21
 
5.1%
i 19
 
4.6%
Other values (35) 166
40.6%

w1_H01fLSE
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_H01mLSE
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_H02f
Real number (ℝ)

Missing 

When you were 14 years old, did your father or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)0.6%
Missing2717
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean2.111869031
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:06.433714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.005394343
Coefficient of variation (CV)0.9495827218
Kurtosis3.870541929
Mean2.111869031
Median Absolute Deviation (MAD)0
Skewness2.245845821
Sum3096
Variance4.02160647
MonotonicityNot monotonic
2025-02-26T17:42:06.473842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 804
 
19.2%
2 427
 
10.2%
8 97
 
2.3%
3 61
 
1.5%
6 28
 
0.7%
5 18
 
0.4%
9 14
 
0.3%
7 9
 
0.2%
4 8
 
0.2%
(Missing) 2717
65.0%
ValueCountFrequency (%)
1 804
19.2%
2 427
10.2%
3 61
 
1.5%
4 8
 
0.2%
5 18
 
0.4%
ValueCountFrequency (%)
9 14
 
0.3%
8 97
2.3%
7 9
 
0.2%
6 28
 
0.7%
5 18
 
0.4%

w1_H03af
Real number (ℝ)

Missing 

More precisely he or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct19
Distinct (%)2.3%
Missing3363
Missing (%)80.4%
Infinite0
Infinite (%)0.0%
Mean7.126829268
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:06.513105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q310
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.872142981
Coefficient of variation (CV)0.8239488783
Kurtosis-0.5491704863
Mean7.126829268
Median Absolute Deviation (MAD)3
Skewness0.9134099574
Sum5844
Variance34.48206319
MonotonicityNot monotonic
2025-02-26T17:42:06.554948image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 169
 
4.0%
3 162
 
3.9%
7 101
 
2.4%
19 70
 
1.7%
1 47
 
1.1%
17 45
 
1.1%
9 41
 
1.0%
5 37
 
0.9%
12 37
 
0.9%
4 21
 
0.5%
Other values (9) 90
 
2.2%
(Missing) 3363
80.4%
ValueCountFrequency (%)
1 47
 
1.1%
2 169
4.0%
3 162
3.9%
4 21
 
0.5%
5 37
 
0.9%
ValueCountFrequency (%)
19 70
1.7%
18 17
 
0.4%
17 45
1.1%
16 3
 
0.1%
15 2
 
< 0.1%

w1_H03af_other
Text

Missing 

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

Distinct44
Distinct (%)97.8%
Missing4138
Missing (%)98.9%
Memory size34.3 KiB
2025-02-26T17:42:06.691855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length85
Median length30
Mean length21.53333333
Min length5

Characters and Unicode

Total characters969
Distinct characters50
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

Unique43 ?
Unique (%)95.6%

Sample

1st rowElectrician
2nd rowmanager in poultry farm
3rd rowHe was senior accountant in sub treasury and now he is a junior superintendent
4th rowPrinciple Software Engineer
5th rowDoctor
ValueCountFrequency (%)
in 10
 
6.9%
manager 8
 
5.5%
employee 5
 
3.4%
he 4
 
2.8%
govt 4
 
2.8%
senior 3
 
2.1%
a 3
 
2.1%
engineer 3
 
2.1%
railway 3
 
2.1%
merchant 2
 
1.4%
Other values (86) 100
69.0%
2025-02-26T17:42:06.885313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
101
 
10.4%
e 95
 
9.8%
a 81
 
8.4%
r 71
 
7.3%
i 69
 
7.1%
n 67
 
6.9%
o 55
 
5.7%
t 47
 
4.9%
l 44
 
4.5%
c 40
 
4.1%
Other values (40) 299
30.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 969
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
101
 
10.4%
e 95
 
9.8%
a 81
 
8.4%
r 71
 
7.3%
i 69
 
7.1%
n 67
 
6.9%
o 55
 
5.7%
t 47
 
4.9%
l 44
 
4.5%
c 40
 
4.1%
Other values (40) 299
30.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 969
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
101
 
10.4%
e 95
 
9.8%
a 81
 
8.4%
r 71
 
7.3%
i 69
 
7.1%
n 67
 
6.9%
o 55
 
5.7%
t 47
 
4.9%
l 44
 
4.5%
c 40
 
4.1%
Other values (40) 299
30.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 969
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
101
 
10.4%
e 95
 
9.8%
a 81
 
8.4%
r 71
 
7.3%
i 69
 
7.1%
n 67
 
6.9%
o 55
 
5.7%
t 47
 
4.9%
l 44
 
4.5%
c 40
 
4.1%
Other values (40) 299
30.9%

w1_H03bf
Real number (ℝ)

Missing 

w1_H04bf - More precisely he or guardian is/was an….? 1. Entrepreneur, CEO, Tenant farmer or similar with more than 50 employees 2. Entrepreneur, CEO, Tenant farmer or similar with 14-49 employees 3. High-rank administrator, managing director (e.g., banker, executive in big business, high government official, union official) 4. Freelance worker (e.g., teacher, engineer, artist, accountant) 5. Self-employed worker/ craftworker with 1-14 employees 6. Self-employed worker/ craftworker without employees 7. Occasional self-employed worker 8. Self-employed workers without specific qualification (e.g., delivery person, driver, street vendor) 9. Tenant farmer or similar with 1-14 employees 10. Tenant farmer or similar without employees 11. Family helper in industry and services 12. Family helper in the agricultural sector 13. Member of a Co-operative company 14. Prefer not to say 15. Don’t know 16. Other position as self-employed worker

Distinct16
Distinct (%)4.0%
Missing3781
Missing (%)90.4%
Infinite0
Infinite (%)0.0%
Mean7.711442786
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:06.933881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q314
95-th percentile16
Maximum16
Range15
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.128407842
Coefficient of variation (CV)0.6650386943
Kurtosis-1.194182729
Mean7.711442786
Median Absolute Deviation (MAD)3
Skewness0.5374706129
Sum3100
Variance26.30056699
MonotonicityNot monotonic
2025-02-26T17:42:06.973452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
5 92
 
2.2%
16 65
 
1.6%
2 47
 
1.1%
6 40
 
1.0%
14 34
 
0.8%
1 24
 
0.6%
4 23
 
0.5%
7 13
 
0.3%
3 13
 
0.3%
8 11
 
0.3%
Other values (6) 40
 
1.0%
(Missing) 3781
90.4%
ValueCountFrequency (%)
1 24
 
0.6%
2 47
1.1%
3 13
 
0.3%
4 23
 
0.5%
5 92
2.2%
ValueCountFrequency (%)
16 65
1.6%
15 6
 
0.1%
14 34
0.8%
13 6
 
0.1%
12 8
 
0.2%

w1_H03bf_other
Text

Missing 

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

Distinct29
Distinct (%)69.0%
Missing4141
Missing (%)99.0%
Memory size33.8 KiB
2025-02-26T17:42:07.057370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length41
Median length22
Mean length11.52380952
Min length5

Characters and Unicode

Total characters484
Distinct characters42
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

Unique22 ?
Unique (%)52.4%

Sample

1st rowDoctor
2nd rowDriver
3rd rowBusiness
4th rowtax consultant
5th rowBusiness man
ValueCountFrequency (%)
business 14
20.3%
man 5
 
7.2%
doctor 4
 
5.8%
driver 3
 
4.3%
farmer 3
 
4.3%
lawyer 2
 
2.9%
consultant 2
 
2.9%
bussiness 2
 
2.9%
hotel 2
 
2.9%
2
 
2.9%
Other values (29) 30
43.5%
2025-02-26T17:42:07.203157image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 68
14.0%
e 51
 
10.5%
n 42
 
8.7%
r 35
 
7.2%
i 31
 
6.4%
27
 
5.6%
o 25
 
5.2%
u 25
 
5.2%
a 25
 
5.2%
t 21
 
4.3%
Other values (32) 134
27.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 484
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 68
14.0%
e 51
 
10.5%
n 42
 
8.7%
r 35
 
7.2%
i 31
 
6.4%
27
 
5.6%
o 25
 
5.2%
u 25
 
5.2%
a 25
 
5.2%
t 21
 
4.3%
Other values (32) 134
27.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 484
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 68
14.0%
e 51
 
10.5%
n 42
 
8.7%
r 35
 
7.2%
i 31
 
6.4%
27
 
5.6%
o 25
 
5.2%
u 25
 
5.2%
a 25
 
5.2%
t 21
 
4.3%
Other values (32) 134
27.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 484
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 68
14.0%
e 51
 
10.5%
n 42
 
8.7%
r 35
 
7.2%
i 31
 
6.4%
27
 
5.6%
o 25
 
5.2%
u 25
 
5.2%
a 25
 
5.2%
t 21
 
4.3%
Other values (32) 134
27.7%

w1_H02m
Real number (ℝ)

Missing 

When you were 14 years old, did your mother or guardian work as …? 1. Employee [go to H03F/M] 2. Self-employed person [go to H04F/M] 3. Employed in law enforcement / armed forces [go to H03F/M] 4. Household 5. Retired 6. Other/unemployed 7. Missed/absent when I was 14 years old. 8. I prefer not to answer 9. Don’t know

Distinct9
Distinct (%)0.6%
Missing2717
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean3.34106412
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:07.251012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q34
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.088726107
Coefficient of variation (CV)0.6251679202
Kurtosis-0.1204085129
Mean3.34106412
Median Absolute Deviation (MAD)2
Skewness0.6038290825
Sum4898
Variance4.362776751
MonotonicityNot monotonic
2025-02-26T17:42:07.302951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 675
 
16.1%
1 487
 
11.6%
8 98
 
2.3%
6 94
 
2.2%
2 79
 
1.9%
9 13
 
0.3%
3 11
 
0.3%
7 5
 
0.1%
5 4
 
0.1%
(Missing) 2717
65.0%
ValueCountFrequency (%)
1 487
11.6%
2 79
 
1.9%
3 11
 
0.3%
4 675
16.1%
5 4
 
0.1%
ValueCountFrequency (%)
9 13
 
0.3%
8 98
2.3%
7 5
 
0.1%
6 94
2.2%
5 4
 
0.1%

w1_H03am
Real number (ℝ)

Missing 

More precisely she or guardian is/was an….? 1. High-ranking executive (e.g., high government official, judge, university professor, general or colonel) 2. Senior employee – Manager/official (e.g., director, head researcher in private institutes, serving members of the military forces with a lower rank to a colonel, etc.) 3. Employee with high technical/scientific and professional qualification (e.g., engineer, chemist, physicist, social worker, graduate technician, publicist, etc.) 4. University lecturer (Associate professor) 5. Secondary school teacher 6. Primary school or pre-school teacher 7. Employee with high and middle qualification level (e.g., university researcher, chartered surveyor, accountant, data analyst, bank cashier, chief secretary, public relations agent, professional nurse, archivist, non-commissioned armed forces officer, etc.) 8. Secretary or similar 9. Managerial employee (e.g., front officer, receptionist, professional soldier, policeman and/or similar) 10. Salesman or similar 11. Worker in services (e.g., barman, waiter, chef, delivery person, domestic worker) 12. Foreman or supervisor 13. Skilled worker or similar (e.g., chief motor mechanic, chief printer, chief tool and die maker, chief electrician) 14. Semi-skilled worker (e.g., bricklayer, bus driver, cannery worker, carpenter, sheet metal worker, baker) 15. Unskilled worker 16. Agricultural worker – farm labourer–fisherman 17. Prefer not to say 18. Don’t know 19. Other position as employee

Distinct15
Distinct (%)3.2%
Missing3708
Missing (%)88.6%
Infinite0
Infinite (%)0.0%
Mean6.338947368
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:07.438817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile19
Maximum19
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.437667088
Coefficient of variation (CV)0.700063722
Kurtosis2.86421578
Mean6.338947368
Median Absolute Deviation (MAD)2
Skewness1.842358767
Sum3011
Variance19.69288918
MonotonicityNot monotonic
2025-02-26T17:42:07.480768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
5 112
 
2.7%
7 81
 
1.9%
6 68
 
1.6%
3 54
 
1.3%
2 39
 
0.9%
19 32
 
0.8%
4 30
 
0.7%
1 18
 
0.4%
9 16
 
0.4%
17 10
 
0.2%
Other values (5) 15
 
0.4%
(Missing) 3708
88.6%
ValueCountFrequency (%)
1 18
 
0.4%
2 39
 
0.9%
3 54
1.3%
4 30
 
0.7%
5 112
2.7%
ValueCountFrequency (%)
19 32
0.8%
18 4
 
0.1%
17 10
 
0.2%
13 2
 
< 0.1%
12 1
 
< 0.1%

w1_H03am_other
Text

Missing 

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

Distinct19
Distinct (%)82.6%
Missing4160
Missing (%)99.5%
Memory size33.6 KiB
2025-02-26T17:42:07.564666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length38
Median length17
Mean length12.13043478
Min length5

Characters and Unicode

Total characters279
Distinct characters42
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

Unique16 ?
Unique (%)69.6%

Sample

1st rowNurse
2nd rowAccountant
3rd rowAccountant
4th rowDaily wages
5th rowcreative writer
ValueCountFrequency (%)
nurse 4
 
9.5%
teacher 3
 
7.1%
employee 3
 
7.1%
accountant 2
 
4.8%
clerk 2
 
4.8%
daily 1
 
2.4%
wages 1
 
2.4%
creative 1
 
2.4%
writer 1
 
2.4%
doctor 1
 
2.4%
Other values (23) 23
54.8%
2025-02-26T17:42:07.699469image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 36
 
12.9%
r 22
 
7.9%
a 21
 
7.5%
19
 
6.8%
o 16
 
5.7%
t 15
 
5.4%
s 13
 
4.7%
c 11
 
3.9%
n 11
 
3.9%
l 9
 
3.2%
Other values (32) 106
38.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 279
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 36
 
12.9%
r 22
 
7.9%
a 21
 
7.5%
19
 
6.8%
o 16
 
5.7%
t 15
 
5.4%
s 13
 
4.7%
c 11
 
3.9%
n 11
 
3.9%
l 9
 
3.2%
Other values (32) 106
38.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 279
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 36
 
12.9%
r 22
 
7.9%
a 21
 
7.5%
19
 
6.8%
o 16
 
5.7%
t 15
 
5.4%
s 13
 
4.7%
c 11
 
3.9%
n 11
 
3.9%
l 9
 
3.2%
Other values (32) 106
38.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 279
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 36
 
12.9%
r 22
 
7.9%
a 21
 
7.5%
19
 
6.8%
o 16
 
5.7%
t 15
 
5.4%
s 13
 
4.7%
c 11
 
3.9%
n 11
 
3.9%
l 9
 
3.2%
Other values (32) 106
38.0%

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

Distinct12
Distinct (%)16.4%
Missing4110
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean7.671232877
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:07.745955image/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 deviation5.058147428
Coefficient of variation (CV)0.6593656469
Kurtosis-1.07019315
Mean7.671232877
Median Absolute Deviation (MAD)2
Skewness0.7536063045
Sum560
Variance25.5848554
MonotonicityNot monotonic
2025-02-26T17:42:07.786015image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 15
 
0.4%
16 14
 
0.3%
5 13
 
0.3%
6 8
 
0.2%
2 6
 
0.1%
14 5
 
0.1%
7 4
 
0.1%
3 3
 
0.1%
12 2
 
< 0.1%
1 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 4110
98.3%
ValueCountFrequency (%)
1 1
 
< 0.1%
2 6
 
0.1%
3 3
 
0.1%
4 15
0.4%
5 13
0.3%
ValueCountFrequency (%)
16 14
0.3%
14 5
 
0.1%
12 2
 
< 0.1%
11 1
 
< 0.1%
8 1
 
< 0.1%

w1_H03bm_other
Text

Missing 

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

Distinct10
Distinct (%)90.9%
Missing4172
Missing (%)99.7%
Memory size33.4 KiB
2025-02-26T17:42:07.856153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length32
Median length13
Mean length10.90909091
Min length1

Characters and Unicode

Total characters120
Distinct characters26
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

Unique9 ?
Unique (%)81.8%

Sample

1st rowBusiness
2nd rowDoctor
3rd rowDoctor
4th rowHelp father as well as household
5th row2
ValueCountFrequency (%)
doctor 2
 
9.1%
as 2
 
9.1%
teacher 2
 
9.1%
business 1
 
4.5%
help 1
 
4.5%
father 1
 
4.5%
well 1
 
4.5%
household 1
 
4.5%
2 1
 
4.5%
have 1
 
4.5%
Other values (9) 9
40.9%
2025-02-26T17:42:07.976955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 15
12.5%
o 11
 
9.2%
11
 
9.2%
a 11
 
9.2%
r 8
 
6.7%
s 8
 
6.7%
t 7
 
5.8%
c 6
 
5.0%
l 6
 
5.0%
h 6
 
5.0%
Other values (16) 31
25.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 120
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 15
12.5%
o 11
 
9.2%
11
 
9.2%
a 11
 
9.2%
r 8
 
6.7%
s 8
 
6.7%
t 7
 
5.8%
c 6
 
5.0%
l 6
 
5.0%
h 6
 
5.0%
Other values (16) 31
25.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 120
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 15
12.5%
o 11
 
9.2%
11
 
9.2%
a 11
 
9.2%
r 8
 
6.7%
s 8
 
6.7%
t 7
 
5.8%
c 6
 
5.0%
l 6
 
5.0%
h 6
 
5.0%
Other values (16) 31
25.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 120
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 15
12.5%
o 11
 
9.2%
11
 
9.2%
a 11
 
9.2%
r 8
 
6.7%
s 8
 
6.7%
t 7
 
5.8%
c 6
 
5.0%
l 6
 
5.0%
h 6
 
5.0%
Other values (16) 31
25.8%

w1_I00
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.1%
Missing2739
Missing (%)65.5%
Infinite0
Infinite (%)0.0%
Mean1.53601108
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.022153image/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 deviation0.4988742864
Coefficient of variation (CV)0.3247856039
Kurtosis-1.981846495
Mean1.53601108
Median Absolute Deviation (MAD)0
Skewness-0.1445695933
Sum2218
Variance0.2488755536
MonotonicityNot monotonic
2025-02-26T17:42:08.060424image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 774
 
18.5%
1 670
 
16.0%
(Missing) 2739
65.5%
ValueCountFrequency (%)
1 670
16.0%
2 774
18.5%
ValueCountFrequency (%)
2 774
18.5%
1 670
16.0%

w1_I01
Real number (ℝ)

Missing 

Your personal main smartphone is an: 1. iPhone1 [go to I05] 2. Android operating system (Samsung, etc...) with version 5.0 or higher?2 3. Another operating system [go to I05] 1Unfortunately, the app is ONLY available for Android devices. 2To know your operating system go to Settings on your smartphone and click ‘Info on the device/phone’

Distinct3
Distinct (%)0.4%
Missing3513
Missing (%)84.0%
Infinite0
Infinite (%)0.0%
Mean2.962686567
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.096151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile2
Maximum31
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.414654748
Coefficient of variation (CV)1.827616464
Kurtosis23.01084346
Mean2.962686567
Median Absolute Deviation (MAD)0
Skewness4.986860965
Sum1985
Variance29.31848605
MonotonicityNot monotonic
2025-02-26T17:42:08.134616image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 595
 
14.2%
1 51
 
1.2%
31 24
 
0.6%
(Missing) 3513
84.0%
ValueCountFrequency (%)
1 51
 
1.2%
2 595
14.2%
31 24
 
0.6%
ValueCountFrequency (%)
31 24
 
0.6%
2 595
14.2%
1 51
 
1.2%

w1_I03
Real number (ℝ)

Missing  Skewed 

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

Distinct8
Distinct (%)1.4%
Missing3620
Missing (%)86.5%
Infinite0
Infinite (%)0.0%
Mean15144803.64
Minimum0
Maximum8526523515
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.173486image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum8526523515
Range8526523515
Interquartile range (IQR)0

Descriptive statistics

Standard deviation359350122
Coefficient of variation (CV)23.72761843
Kurtosis563
Mean15144803.64
Median Absolute Deviation (MAD)0
Skewness23.72762104
Sum8526524448
Variance1.291325102 × 1017
MonotonicityNot monotonic
2025-02-26T17:42:08.211734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 513
 
12.3%
2 41
 
1.0%
3 2
 
< 0.1%
4 2
 
< 0.1%
0 2
 
< 0.1%
213 1
 
< 0.1%
8526523515 1
 
< 0.1%
111 1
 
< 0.1%
(Missing) 3620
86.5%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 513
12.3%
2 41
 
1.0%
3 2
 
< 0.1%
4 2
 
< 0.1%
ValueCountFrequency (%)
8526523515 1
< 0.1%
213 1
< 0.1%
111 1
< 0.1%
4 2
< 0.1%
3 2
< 0.1%

w1_I04
Real number (ℝ)

Missing 

I agree to report my name to the person in charge of the research project entitled WeNet - Internet of us (https://www.internetofus.eu/) and to be contacted to receive further explanations for my possible participation. 1. Yes 2. No [go to I05]

Distinct2
Distinct (%)0.3%
Missing3589
Missing (%)85.8%
Infinite0
Infinite (%)0.0%
Mean1.138047138
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.250620image/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 deviation0.3452401825
Coefficient of variation (CV)0.3033619355
Kurtosis2.434587642
Mean1.138047138
Median Absolute Deviation (MAD)0
Skewness2.103901539
Sum676
Variance0.1191907836
MonotonicityNot monotonic
2025-02-26T17:42:08.291007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 512
 
12.2%
2 82
 
2.0%
(Missing) 3589
85.8%
ValueCountFrequency (%)
1 512
12.2%
2 82
 
2.0%
ValueCountFrequency (%)
2 82
 
2.0%
1 512
12.2%

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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_GT_BF15
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 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: ____

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_N01_other
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_N02
Unsupported

Missing  Rejected  Unsupported 

Are you a resident of the city? 1. Born in the city 2. Migrated to the city [go to N03]

Missing4183
Missing (%)100.0%
Memory size36.9 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

Missing4183
Missing (%)100.0%
Memory size36.9 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

Missing4183
Missing (%)100.0%
Memory size36.9 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.

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_N05_2
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_N05_3
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_N05_4
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_N05_5
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_N05_6
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_N05_7
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_N05_8
Unsupported

Missing  Rejected  Unsupported 

Before coming to the current place, where were you living? * ______ *Please, find zip code of the place using the website http://zipcode.mn/map#mongolia Please choose the last place.

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_N06
Unsupported

Missing  Rejected  Unsupported 

Please, give the reason to migrate to the city 1. To study 2. Followed my parent's decision 3. Followed my brother/sister's decision 4. To work 5. To change my living place 6. Other, please specify: ____

Missing4183
Missing (%)100.0%
Memory size36.9 KiB

w1_N06_other
Unsupported

Missing  Rejected  Unsupported 

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

Missing4183
Missing (%)100.0%
Memory size33.3 KiB

w1_interviewtime
Real number (ℝ)

Zeros 

time of interview

Distinct2815
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean681.928152
Minimum0
Maximum27912.9
Zeros1321
Zeros (%)31.6%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.336365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median75.46
Q31032.45
95-th percentile2465.224
Maximum27912.9
Range27912.9
Interquartile range (IQR)1032.45

Descriptive statistics

Standard deviation1400.184588
Coefficient of variation (CV)2.05327289
Kurtosis91.15323183
Mean681.928152
Median Absolute Deviation (MAD)75.46
Skewness7.324479231
Sum2852505.46
Variance1960516.879
MonotonicityNot monotonic
2025-02-26T17:42:08.385715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1321
31.6%
14.69 3
 
0.1%
58.62 3
 
0.1%
50.43 2
 
< 0.1%
987.95 2
 
< 0.1%
24.51 2
 
< 0.1%
74.13 2
 
< 0.1%
16.32 2
 
< 0.1%
970.52 2
 
< 0.1%
15.2 2
 
< 0.1%
Other values (2805) 2842
67.9%
ValueCountFrequency (%)
0.0 1321
31.6%
1.63 1
 
< 0.1%
1.73 1
 
< 0.1%
2.26 1
 
< 0.1%
2.34 1
 
< 0.1%
ValueCountFrequency (%)
27912.9 1
< 0.1%
24660.3 1
< 0.1%
18861.6 1
< 0.1%
17455.9 1
< 0.1%
16076.8 1
< 0.1%

w1_GT_A0
Real number (ℝ)

Missing  Skewed 

Distinct2202
Distinct (%)76.9%
Missing1321
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean51.51021314
Minimum1.63
Maximum17448.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.435386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.63
5-th percentile8.1205
Q115.79
median23.39
Q336.47
95-th percentile98.8905
Maximum17448.2
Range17446.57
Interquartile range (IQR)20.68

Descriptive statistics

Standard deviation418.1131262
Coefficient of variation (CV)8.117091753
Kurtosis1371.707456
Mean51.51021314
Median Absolute Deviation (MAD)9.495
Skewness35.802166
Sum147422.23
Variance174818.5863
MonotonicityNot monotonic
2025-02-26T17:42:08.487692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.2 6
 
0.1%
22.23 6
 
0.1%
27.99 5
 
0.1%
25.51 5
 
0.1%
25.9 5
 
0.1%
13.34 5
 
0.1%
19.29 4
 
0.1%
15.17 4
 
0.1%
16.32 4
 
0.1%
30.65 4
 
0.1%
Other values (2192) 2814
67.3%
(Missing) 1321
31.6%
ValueCountFrequency (%)
1.63 1
< 0.1%
1.73 1
< 0.1%
2.26 1
< 0.1%
2.34 1
< 0.1%
2.35 1
< 0.1%
ValueCountFrequency (%)
17448.2 1
< 0.1%
13021.4 1
< 0.1%
2280.54 1
< 0.1%
1903.61 1
< 0.1%
1518.27 1
< 0.1%

w1_GT_A1
Real number (ℝ)

Missing  Skewed 

Distinct1945
Distinct (%)83.3%
Missing1848
Missing (%)44.2%
Infinite0
Infinite (%)0.0%
Mean82.96166595
Minimum6.53
Maximum15877.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.539077image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.53
5-th percentile24.797
Q133.405
median43.23
Q362.05
95-th percentile145.165
Maximum15877.8
Range15871.27
Interquartile range (IQR)28.645

Descriptive statistics

Standard deviation466.4762316
Coefficient of variation (CV)5.622792482
Kurtosis719.0279954
Mean82.96166595
Median Absolute Deviation (MAD)11.97
Skewness25.08832055
Sum193715.49
Variance217600.0746
MonotonicityNot monotonic
2025-02-26T17:42:08.592456image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 4
 
0.1%
38.49 4
 
0.1%
43.23 4
 
0.1%
71.79 4
 
0.1%
35.61 4
 
0.1%
40.95 4
 
0.1%
43.9 3
 
0.1%
37.33 3
 
0.1%
34.66 3
 
0.1%
35.49 3
 
0.1%
Other values (1935) 2299
55.0%
(Missing) 1848
44.2%
ValueCountFrequency (%)
6.53 1
< 0.1%
6.76 1
< 0.1%
11.75 1
< 0.1%
12.73 1
< 0.1%
14.74 1
< 0.1%
ValueCountFrequency (%)
15877.8 1
< 0.1%
10145.1 1
< 0.1%
8219.54 1
< 0.1%
6990.97 1
< 0.1%
4602.07 1
< 0.1%

w1_GT_B
Real number (ℝ)

Missing 

Distinct1824
Distinct (%)98.4%
Missing2330
Missing (%)55.7%
Infinite0
Infinite (%)0.0%
Mean444.0047113
Minimum4.56
Maximum27850.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.643642image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.56
5-th percentile68.488
Q1188.79
median294.66
Q3452.29
95-th percentile1111.508
Maximum27850.2
Range27845.64
Interquartile range (IQR)263.5

Descriptive statistics

Standard deviation918.492384
Coefficient of variation (CV)2.06865459
Kurtosis460.2676934
Mean444.0047113
Median Absolute Deviation (MAD)122.67
Skewness17.8478409
Sum822740.73
Variance843628.2594
MonotonicityNot monotonic
2025-02-26T17:42:08.765821image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344.54 2
 
< 0.1%
367.87 2
 
< 0.1%
414.41 2
 
< 0.1%
188.18 2
 
< 0.1%
128.07 2
 
< 0.1%
289.17 2
 
< 0.1%
331.03 2
 
< 0.1%
341.49 2
 
< 0.1%
330.18 2
 
< 0.1%
400.87 2
 
< 0.1%
Other values (1814) 1833
43.8%
(Missing) 2330
55.7%
ValueCountFrequency (%)
4.56 1
< 0.1%
6.01 1
< 0.1%
8.17 1
< 0.1%
8.48 1
< 0.1%
8.84 1
< 0.1%
ValueCountFrequency (%)
27850.2 1
< 0.1%
11585.8 1
< 0.1%
11566.2 1
< 0.1%
8311.42 1
< 0.1%
8033.83 1
< 0.1%

w1_GT_C
Real number (ℝ)

Missing 

Distinct1602
Distinct (%)96.3%
Missing2520
Missing (%)60.2%
Infinite0
Infinite (%)0.0%
Mean149.5417739
Minimum2.82
Maximum3787.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.816299image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.82
5-th percentile25.673
Q169.635
median102.24
Q3148.7
95-th percentile360.645
Maximum3787.2
Range3784.38
Interquartile range (IQR)79.065

Descriptive statistics

Standard deviation238.9280225
Coefficient of variation (CV)1.597734307
Kurtosis96.0210908
Mean149.5417739
Median Absolute Deviation (MAD)36.57
Skewness8.613623867
Sum248687.97
Variance57086.59994
MonotonicityNot monotonic
2025-02-26T17:42:08.869489image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157.02 3
 
0.1%
111.52 3
 
0.1%
81.52 2
 
< 0.1%
88.73 2
 
< 0.1%
62.62 2
 
< 0.1%
91.99 2
 
< 0.1%
121.63 2
 
< 0.1%
106.55 2
 
< 0.1%
82.88 2
 
< 0.1%
178.82 2
 
< 0.1%
Other values (1592) 1641
39.2%
(Missing) 2520
60.2%
ValueCountFrequency (%)
2.82 1
< 0.1%
3.4 1
< 0.1%
3.58 1
< 0.1%
3.69 1
< 0.1%
4.55 1
< 0.1%
ValueCountFrequency (%)
3787.2 1
< 0.1%
3250.84 1
< 0.1%
3032.03 1
< 0.1%
2866.02 1
< 0.1%
2770.77 1
< 0.1%

w1_GT_D
Real number (ℝ)

Missing 

Distinct1463
Distinct (%)89.6%
Missing2550
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean57.9206981
Minimum1.9
Maximum876.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:08.923061image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.9
5-th percentile15.656
Q126.06
median40.57
Q365.64
95-th percentile157.614
Maximum876.19
Range874.29
Interquartile range (IQR)39.58

Descriptive statistics

Standard deviation63.14321577
Coefficient of variation (CV)1.090166691
Kurtosis43.53458636
Mean57.9206981
Median Absolute Deviation (MAD)17.68
Skewness5.214654472
Sum94584.5
Variance3987.065698
MonotonicityNot monotonic
2025-02-26T17:42:08.972130image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.81 4
 
0.1%
37.34 3
 
0.1%
19.75 3
 
0.1%
22.27 3
 
0.1%
21.07 3
 
0.1%
27.74 3
 
0.1%
25.49 3
 
0.1%
23.68 3
 
0.1%
19.39 3
 
0.1%
26.17 3
 
0.1%
Other values (1453) 1602
38.3%
(Missing) 2550
61.0%
ValueCountFrequency (%)
1.9 1
< 0.1%
2.52 1
< 0.1%
2.53 1
< 0.1%
2.73 1
< 0.1%
3.27 1
< 0.1%
ValueCountFrequency (%)
876.19 1
< 0.1%
808.85 1
< 0.1%
597.23 1
< 0.1%
577.04 1
< 0.1%
526.7 1
< 0.1%

w1_GT_E
Real number (ℝ)

Missing 

Distinct1550
Distinct (%)97.7%
Missing2597
Missing (%)62.1%
Infinite0
Infinite (%)0.0%
Mean213.8974779
Minimum4.18
Maximum6307.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:09.020648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.18
5-th percentile51.0875
Q1121.35
median163.135
Q3234.3625
95-th percentile482.985
Maximum6307.06
Range6302.88
Interquartile range (IQR)113.0125

Descriptive statistics

Standard deviation288.6413222
Coefficient of variation (CV)1.349437707
Kurtosis211.7275328
Mean213.8974779
Median Absolute Deviation (MAD)51.445
Skewness12.39530527
Sum339241.4
Variance83313.81287
MonotonicityNot monotonic
2025-02-26T17:42:09.070956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.3 3
 
0.1%
119.38 2
 
< 0.1%
144.54 2
 
< 0.1%
127.42 2
 
< 0.1%
137.04 2
 
< 0.1%
172.42 2
 
< 0.1%
149.8 2
 
< 0.1%
172.32 2
 
< 0.1%
142.1 2
 
< 0.1%
149.45 2
 
< 0.1%
Other values (1540) 1565
37.4%
(Missing) 2597
62.1%
ValueCountFrequency (%)
4.18 1
< 0.1%
4.6 1
< 0.1%
5.09 1
< 0.1%
6.32 1
< 0.1%
6.49 1
< 0.1%
ValueCountFrequency (%)
6307.06 1
< 0.1%
5173.23 1
< 0.1%
3830.55 1
< 0.1%
3712.25 1
< 0.1%
2335.14 1
< 0.1%

w1_GT_F
Real number (ℝ)

Missing 

Distinct1379
Distinct (%)88.0%
Missing2616
Missing (%)62.5%
Infinite0
Infinite (%)0.0%
Mean49.78911934
Minimum2.59
Maximum4706.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:09.121558image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.59
5-th percentile8.81
Q114.345
median23.95
Q348.43
95-th percentile123.748
Maximum4706.96
Range4704.37
Interquartile range (IQR)34.085

Descriptive statistics

Standard deviation178.1044804
Coefficient of variation (CV)3.577176756
Kurtosis453.5240225
Mean49.78911934
Median Absolute Deviation (MAD)12.13
Skewness19.68805618
Sum78019.55
Variance31721.20594
MonotonicityNot monotonic
2025-02-26T17:42:09.172879image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49.67 3
 
0.1%
13.91 3
 
0.1%
11.67 3
 
0.1%
9.66 3
 
0.1%
14.97 3
 
0.1%
12.04 3
 
0.1%
10.53 3
 
0.1%
12.28 3
 
0.1%
9.58 3
 
0.1%
10.88 3
 
0.1%
Other values (1369) 1537
36.7%
(Missing) 2616
62.5%
ValueCountFrequency (%)
2.59 1
< 0.1%
4.64 1
< 0.1%
4.86 1
< 0.1%
5.85 1
< 0.1%
5.96 1
< 0.1%
ValueCountFrequency (%)
4706.96 1
< 0.1%
3905.87 1
< 0.1%
1798.11 1
< 0.1%
1796.11 1
< 0.1%
1607.78 1
< 0.1%

w1_GT_G1
Real number (ℝ)

Missing  Skewed 

Distinct1465
Distinct (%)94.6%
Missing2634
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean124.1606004
Minimum3.35
Maximum17895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:09.222060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.35
5-th percentile26.008
Q155.7
median76.17
Q3103.38
95-th percentile205.184
Maximum17895
Range17891.65
Interquartile range (IQR)47.68

Descriptive statistics

Standard deviation642.8782853
Coefficient of variation (CV)5.177796203
Kurtosis536.5641287
Mean124.1606004
Median Absolute Deviation (MAD)22.84
Skewness22.3123213
Sum192324.77
Variance413292.4897
MonotonicityNot monotonic
2025-02-26T17:42:09.276629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61.34 3
 
0.1%
44.07 3
 
0.1%
87.31 3
 
0.1%
52.26 3
 
0.1%
85.42 2
 
< 0.1%
41.43 2
 
< 0.1%
76.85 2
 
< 0.1%
65.14 2
 
< 0.1%
77.14 2
 
< 0.1%
89.06 2
 
< 0.1%
Other values (1455) 1525
36.5%
(Missing) 2634
63.0%
ValueCountFrequency (%)
3.35 1
< 0.1%
3.48 1
< 0.1%
3.5 1
< 0.1%
3.57 1
< 0.1%
3.73 1
< 0.1%
ValueCountFrequency (%)
17895.0 1
< 0.1%
12762.0 1
< 0.1%
11493.1 1
< 0.1%
3195.79 1
< 0.1%
2915.74 1
< 0.1%

w1_GT_G2
Real number (ℝ)

Missing 

Distinct1472
Distinct (%)96.1%
Missing2651
Missing (%)63.4%
Infinite0
Infinite (%)0.0%
Mean124.8623107
Minimum2.73
Maximum3988.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:09.330299image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.73
5-th percentile17.155
Q161.83
median90.435
Q3131.36
95-th percentile285.3525
Maximum3988.16
Range3985.43
Interquartile range (IQR)69.53

Descriptive statistics

Standard deviation193.2396112
Coefficient of variation (CV)1.547621617
Kurtosis146.9008824
Mean124.8623107
Median Absolute Deviation (MAD)33.345
Skewness9.935283821
Sum191289.06
Variance37341.54733
MonotonicityNot monotonic
2025-02-26T17:42:09.385777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72.96 3
 
0.1%
85.56 3
 
0.1%
45.55 2
 
< 0.1%
108.48 2
 
< 0.1%
27.97 2
 
< 0.1%
91.02 2
 
< 0.1%
120.83 2
 
< 0.1%
68.8 2
 
< 0.1%
104.42 2
 
< 0.1%
92.79 2
 
< 0.1%
Other values (1462) 1510
36.1%
(Missing) 2651
63.4%
ValueCountFrequency (%)
2.73 1
< 0.1%
2.76 1
< 0.1%
2.88 1
< 0.1%
3.03 1
< 0.1%
3.17 1
< 0.1%
ValueCountFrequency (%)
3988.16 1
< 0.1%
2806.2 1
< 0.1%
2104.99 1
< 0.1%
1707.44 1
< 0.1%
1521.96 1
< 0.1%

w1_GT_G3
Real number (ℝ)

Missing  Skewed 

Distinct1423
Distinct (%)95.2%
Missing2688
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean144.1492508
Minimum2.94
Maximum18696.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:09.438691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.94
5-th percentile29.824
Q165.96
median93.29
Q3129.575
95-th percentile229.597
Maximum18696.6
Range18693.66
Interquartile range (IQR)63.615

Descriptive statistics

Standard deviation626.1263592
Coefficient of variation (CV)4.343597733
Kurtosis599.2620925
Mean144.1492508
Median Absolute Deviation (MAD)30.75
Skewness22.94745981
Sum215503.13
Variance392034.2177
MonotonicityNot monotonic
2025-02-26T17:42:09.491838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.12 4
 
0.1%
73.13 3
 
0.1%
81.05 3
 
0.1%
55.59 2
 
< 0.1%
69.03 2
 
< 0.1%
100.68 2
 
< 0.1%
72.71 2
 
< 0.1%
87.33 2
 
< 0.1%
99.87 2
 
< 0.1%
41.32 2
 
< 0.1%
Other values (1413) 1471
35.2%
(Missing) 2688
64.3%
ValueCountFrequency (%)
2.94 1
< 0.1%
3.13 1
< 0.1%
6.45 1
< 0.1%
8.8 1
< 0.1%
9.82 1
< 0.1%
ValueCountFrequency (%)
18696.6 1
< 0.1%
10389.3 1
< 0.1%
9585.41 1
< 0.1%
3894.36 1
< 0.1%
2655.19 1
< 0.1%

w1_GT_H1
Real number (ℝ)

Missing 

Distinct1323
Distinct (%)89.6%
Missing2706
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean49.79574814
Minimum2.16
Maximum3058.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:09.543489image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.16
5-th percentile13.082
Q123.53
median32.85
Q348.38
95-th percentile119.926
Maximum3058.48
Range3056.32
Interquartile range (IQR)24.85

Descriptive statistics

Standard deviation104.0837236
Coefficient of variation (CV)2.09021307
Kurtosis498.7928689
Mean49.79574814
Median Absolute Deviation (MAD)11.25
Skewness19.08038691
Sum73548.32
Variance10833.42151
MonotonicityNot monotonic
2025-02-26T17:42:09.595053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.71 4
 
0.1%
18.95 4
 
0.1%
33.34 3
 
0.1%
39.64 3
 
0.1%
24.14 3
 
0.1%
17.6 3
 
0.1%
35.54 3
 
0.1%
25.97 3
 
0.1%
34.99 3
 
0.1%
20.36 3
 
0.1%
Other values (1313) 1445
34.5%
(Missing) 2706
64.7%
ValueCountFrequency (%)
2.16 1
< 0.1%
2.8 1
< 0.1%
3.01 1
< 0.1%
3.08 1
< 0.1%
3.15 1
< 0.1%
ValueCountFrequency (%)
3058.48 1
< 0.1%
1418.36 1
< 0.1%
832.85 1
< 0.1%
824.92 1
< 0.1%
622.84 1
< 0.1%

w1_GT_H2
Real number (ℝ)

Missing  Skewed 

Distinct1370
Distinct (%)93.1%
Missing2711
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean92.25036005
Minimum5.97
Maximum15296.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:09.645803image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.97
5-th percentile21.8665
Q139.575
median59.995
Q385.6925
95-th percentile173.091
Maximum15296.9
Range15290.93
Interquartile range (IQR)46.1175

Descriptive statistics

Standard deviation424.1550218
Coefficient of variation (CV)4.59786847
Kurtosis1128.441184
Mean92.25036005
Median Absolute Deviation (MAD)22.28
Skewness31.99466355
Sum135792.53
Variance179907.4825
MonotonicityNot monotonic
2025-02-26T17:42:09.700011image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61.04 3
 
0.1%
37.17 3
 
0.1%
71.28 3
 
0.1%
73.96 2
 
< 0.1%
34.4 2
 
< 0.1%
32.53 2
 
< 0.1%
61.7 2
 
< 0.1%
104.85 2
 
< 0.1%
120.97 2
 
< 0.1%
67.51 2
 
< 0.1%
Other values (1360) 1449
34.6%
(Missing) 2711
64.8%
ValueCountFrequency (%)
5.97 1
< 0.1%
6.34 1
< 0.1%
6.35 1
< 0.1%
7.06 1
< 0.1%
7.57 1
< 0.1%
ValueCountFrequency (%)
15296.9 1
< 0.1%
3472.41 1
< 0.1%
2912.67 1
< 0.1%
1542.4 1
< 0.1%
1396.86 1
< 0.1%

w1_GT_I1
Real number (ℝ)

Missing 

Distinct1372
Distinct (%)94.6%
Missing2732
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean76.88751895
Minimum4.56
Maximum2931.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:09.824640image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.56
5-th percentile10.815
Q126.23
median47.86
Q382.425
95-th percentile198.31
Maximum2931.85
Range2927.29
Interquartile range (IQR)56.195

Descriptive statistics

Standard deviation143.3415262
Coefficient of variation (CV)1.864301621
Kurtosis168.6796444
Mean76.88751895
Median Absolute Deviation (MAD)25
Skewness10.9191603
Sum111563.79
Variance20546.79314
MonotonicityNot monotonic
2025-02-26T17:42:09.875282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.94 3
 
0.1%
41.85 2
 
< 0.1%
46.55 2
 
< 0.1%
9.07 2
 
< 0.1%
41.91 2
 
< 0.1%
37.53 2
 
< 0.1%
83.02 2
 
< 0.1%
61.96 2
 
< 0.1%
82.8 2
 
< 0.1%
14.66 2
 
< 0.1%
Other values (1362) 1430
34.2%
(Missing) 2732
65.3%
ValueCountFrequency (%)
4.56 1
< 0.1%
4.77 1
< 0.1%
4.87 1
< 0.1%
5.16 1
< 0.1%
5.33 2
< 0.1%
ValueCountFrequency (%)
2931.85 1
< 0.1%
2088.42 1
< 0.1%
2044.27 1
< 0.1%
1401.32 1
< 0.1%
1236.67 1
< 0.1%

w1_GT_I2
Real number (ℝ)

Missing 

Distinct667
Distinct (%)67.0%
Missing3188
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean9.50561809
Minimum1.37
Maximum186.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.9 KiB
2025-02-26T17:42:09.925024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.37
5-th percentile2.727
Q15.345
median6.87
Q39.435
95-th percentile19.457
Maximum186.88
Range185.51
Interquartile range (IQR)4.09

Descriptive statistics

Standard deviation13.60131807
Coefficient of variation (CV)1.430871506
Kurtosis84.09112757
Mean9.50561809
Median Absolute Deviation (MAD)1.85
Skewness8.331923409
Sum9458.09
Variance184.9958532
MonotonicityNot monotonic
2025-02-26T17:42:09.976433image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.02 6
 
0.1%
6.02 5
 
0.1%
6.99 5
 
0.1%
6.9 5
 
0.1%
5.5 5
 
0.1%
5.21 5
 
0.1%
7.64 5
 
0.1%
4.72 5
 
0.1%
5.11 4
 
0.1%
6.81 4
 
0.1%
Other values (657) 946
 
22.6%
(Missing) 3188
76.2%
ValueCountFrequency (%)
1.37 1
< 0.1%
1.53 1
< 0.1%
1.6 1
< 0.1%
1.62 1
< 0.1%
1.73 1
< 0.1%
ValueCountFrequency (%)
186.88 1
< 0.1%
166.34 1
< 0.1%
163.37 1
< 0.1%
134.35 1
< 0.1%
133.94 1
< 0.1%

w1_GT_N
Unsupported

Missing  Rejected  Unsupported 

Missing4183
Missing (%)100.0%
Memory size36.9 KiB