Overview

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Dataset statistics

Number of variables192
Number of observations141
Missing cells9234
Missing cells (%)34.1%
Total size in memory206.4 KiB
Average record size in memory1.5 KiB

Variable types

Text6
Numeric127
DateTime3
Boolean36
Unsupported20

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
w2_experimentidexperimentid
w2_lastpagelastpage
w2_submitdatesubmitdate
w2_startlanguagestartlanguage
w2_startdatestartdate
w2_datestampdatestamp
w2_refurlrefurl
w2_A01With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________
w2_A01_otherWith whom do you live? Answer: Other, please specify: ________
w2_A02In addition to you, how many people do you share the accommodation with? |__|
w2_A03How many of these people attend university? |__|
w2_A04 Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more
w2_A05_1In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)
w2_A05_2In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)
w2_A05_3In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system
w2_A05_4In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV
w2_A05_5In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC
w2_A05_6In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer
w2_A05_7In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet
w2_A05_8In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone
w2_A05_9In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher
w2_A05_10In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi
w2_A06_1All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________
w2_A06_2All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)
w2_A07Have you been in paid employment in the last year or so? 1. Yes 2. No
w2_A08Do you currently do any work, including occasional work? 1. Yes 2. No
w2_B01_1Do you have a car driver’s license? 1. Yes, 2. No
w2_B01_2Do you have a motorbike driver’s license? 1. Yes, 2. No
w2_B01_3Do you have a bike of your own? 1. Yes, 2. No
w2_B01_4Do you have a car of your own? 1. Yes, 2. No
w2_B01_5Do you have a motorbike of your own? 1. Yes, 2. No
w2_B01_6Do you have access to a car whenever you want? 1. Yes, 2. No
w2_B01_7Do you have access to a motorbike whenever you want? 1. Yes, 2. No
w2_B02_1What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking
w2_B02_2What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling
w2_B02_3What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question
w2_B02_4What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)
w2_B02_5What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike
w2_B02_6What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)
w2_B02_7What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train
w2_B02_8What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters
w2_B03How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday
w2_C01Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]
w2_C02Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.
w2_C03_1How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_2How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_3How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_4How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C03_5How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say
w2_C04How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never
w2_C05_1Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.
w2_C05_2Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.
w2_C05_3Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.
w2_C05_4Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly
w2_C05_5Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.
w2_C05_6Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.
w2_C05_7Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.
w2_C05_8Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.
w2_C05_9Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.
w2_C06_1When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips
w2_C06_2When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes
w2_C06_3When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines
w2_C06_4When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps
w2_C06_5When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV
w2_C06_6When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas
w2_C07_1Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet
w2_C07_2Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet
w2_C07_3Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons
w2_C07_4Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)
w2_C07_5Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly
w2_C07_6Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight
w2_C07_7Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.
w2_C08Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.
w2_C09Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday
w2_C10_1Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_2Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_3Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_4Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_5Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_6Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C10_7Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always
w2_C11How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.
w2_C12_1How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_2How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_3How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_4How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_C12_5How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops
w2_D01Beyond walking about, do you engage in other physical activities? 1. Yes 2. No
w2_D02Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]
w2_D03_1Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.
w2_D03_2Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.
w2_D03_3Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.
w2_D03_4Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.
w2_D03_5Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.
w2_D03_6Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.
w2_D03_7Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.
w2_D03_8Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.
w2_D04How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week
w2_D05_1How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_2How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D05_3How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always
w2_D06_1Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.
w2_D06_2Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.
w2_D06_3Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.
w2_D06_4Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.
w2_D06_5Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.
w2_D06_otherQuestion: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.
w2_D07_1Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.
w2_D07_2Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.
w2_D07_3Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.
w2_D07_4Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.
w2_D07_5Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.
w2_E01_1Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.
w2_E01_2Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.
w2_E01_3Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.
w2_E01_4Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.
w2_E01_5Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.
w2_E01_6Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.
w2_E02_1Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_2Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_3Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_4Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_E02_5Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.
w2_F02_1Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual
w2_F02_2Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet
w2_F02_3Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned
w2_F02_4Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating
w2_F02_5Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy
w2_F02_6Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed
w2_F02_7Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful
w2_F02_8Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual
w2_F02_9Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured
w2_F02_10Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant
w2_F02_11Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical
w2_F02_12Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive
w2_F02_13Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening
w2_F02_14Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract
w2_F02_15Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser
w2_F02_16Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety
w2_F02_17Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful
w2_F02_18Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate
w2_F02_19Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups
w2_F02_20Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel
w2_F01_1Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way
w2_F01_2Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things
w2_F01_3Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.
w2_F01_4Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does
w2_F01_5Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety
w2_F01_6Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try
w2_F01_7Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching
w2_F01_8Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them
w2_F01_9Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have
w2_F01_10Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure
w2_F01_11Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself
w2_F01_12Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people
w2_F01_13Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people
w2_F01_14Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without
w2_F01_15Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures
w2_F01_16Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong
w2_F01_17Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says
w2_F01_18Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them
w2_F01_19Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them
w2_F01_20Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires
w2_F01_21Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess
w2_F01_22Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things
w2_F01_23Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them
w2_F01_24Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is
w2_F01_25Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned
w2_F01_26Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself
w2_F01_27Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows
w2_F01_28Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people
w2_F01_29Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society
w2_F01_30Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life
w2_F01_31Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them
w2_F01_32Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others
w2_F01_33Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge
w2_F01_34Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself
w2_F01_35Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected
w2_F01_36Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations
w2_F01_37Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them
w2_F01_38Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself
w2_F01_39Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader
w2_F01_40Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature
w2_interviewtimeinterviewtime
w2_GT_A1
w2_GT_A2
w2_GT_B
w2_GT_C
w2_GT_D
w2_GT_E
w2_GT_F

Alerts

w2_experimentid has constant value "wenetIndia" Constant
w2_startlanguage has constant value "en" Constant
w2_D06_other has constant value "Hand counting method" Constant
w2_A05_2 is highly imbalanced (60.7%) Imbalance
w2_B02_8 is highly imbalanced (75.6%) Imbalance
w2_C06_2 is highly imbalanced (50.9%) Imbalance
w2_C07_4 is highly imbalanced (56.6%) Imbalance
w2_submitdate has 35 (24.8%) missing values Missing
w2_refurl has 107 (75.9%) missing values Missing
w2_A01 has 12 (8.5%) missing values Missing
w2_A01_other has 138 (97.9%) missing values Missing
w2_A02 has 43 (30.5%) missing values Missing
w2_A03 has 45 (31.9%) missing values Missing
w2_A04 has 24 (17.0%) missing values Missing
w2_A05_1 has 12 (8.5%) missing values Missing
w2_A05_2 has 12 (8.5%) missing values Missing
w2_A05_3 has 12 (8.5%) missing values Missing
w2_A05_4 has 12 (8.5%) missing values Missing
w2_A05_5 has 12 (8.5%) missing values Missing
w2_A05_6 has 12 (8.5%) missing values Missing
w2_A05_7 has 12 (8.5%) missing values Missing
w2_A05_8 has 12 (8.5%) missing values Missing
w2_A05_9 has 12 (8.5%) missing values Missing
w2_A05_10 has 12 (8.5%) missing values Missing
w2_A06_1 has 44 (31.2%) missing values Missing
w2_A06_2 has 52 (36.9%) missing values Missing
w2_A07 has 16 (11.3%) missing values Missing
w2_A08 has 14 (9.9%) missing values Missing
w2_B01_1 has 23 (16.3%) missing values Missing
w2_B01_2 has 20 (14.2%) missing values Missing
w2_B01_3 has 25 (17.7%) missing values Missing
w2_B01_4 has 28 (19.9%) missing values Missing
w2_B01_5 has 24 (17.0%) missing values Missing
w2_B01_6 has 26 (18.4%) missing values Missing
w2_B01_7 has 24 (17.0%) missing values Missing
w2_B02_1 has 17 (12.1%) missing values Missing
w2_B02_2 has 17 (12.1%) missing values Missing
w2_B02_3 has 17 (12.1%) missing values Missing
w2_B02_4 has 17 (12.1%) missing values Missing
w2_B02_5 has 17 (12.1%) missing values Missing
w2_B02_6 has 17 (12.1%) missing values Missing
w2_B02_7 has 17 (12.1%) missing values Missing
w2_B02_8 has 17 (12.1%) missing values Missing
w2_B03 has 19 (13.5%) missing values Missing
w2_C01 has 24 (17.0%) missing values Missing
w2_C02 has 102 (72.3%) missing values Missing
w2_C03_1 has 32 (22.7%) missing values Missing
w2_C03_2 has 32 (22.7%) missing values Missing
w2_C03_3 has 32 (22.7%) missing values Missing
w2_C03_4 has 32 (22.7%) missing values Missing
w2_C03_5 has 32 (22.7%) missing values Missing
w2_C04 has 34 (24.1%) missing values Missing
w2_C05_1 has 32 (22.7%) missing values Missing
w2_C05_2 has 32 (22.7%) missing values Missing
w2_C05_3 has 32 (22.7%) missing values Missing
w2_C05_4 has 33 (23.4%) missing values Missing
w2_C05_5 has 33 (23.4%) missing values Missing
w2_C05_6 has 32 (22.7%) missing values Missing
w2_C05_7 has 32 (22.7%) missing values Missing
w2_C05_8 has 32 (22.7%) missing values Missing
w2_C05_9 has 32 (22.7%) missing values Missing
w2_C06_1 has 29 (20.6%) missing values Missing
w2_C06_2 has 29 (20.6%) missing values Missing
w2_C06_3 has 29 (20.6%) missing values Missing
w2_C06_4 has 29 (20.6%) missing values Missing
w2_C06_5 has 29 (20.6%) missing values Missing
w2_C06_6 has 29 (20.6%) missing values Missing
w2_C07_1 has 29 (20.6%) missing values Missing
w2_C07_2 has 29 (20.6%) missing values Missing
w2_C07_3 has 29 (20.6%) missing values Missing
w2_C07_4 has 29 (20.6%) missing values Missing
w2_C07_5 has 29 (20.6%) missing values Missing
w2_C07_6 has 29 (20.6%) missing values Missing
w2_C07_7 has 29 (20.6%) missing values Missing
w2_C08 has 32 (22.7%) missing values Missing
w2_C09 has 30 (21.3%) missing values Missing
w2_C10_1 has 50 (35.5%) missing values Missing
w2_C10_2 has 56 (39.7%) missing values Missing
w2_C10_3 has 49 (34.8%) missing values Missing
w2_C10_4 has 50 (35.5%) missing values Missing
w2_C10_5 has 49 (34.8%) missing values Missing
w2_C10_6 has 50 (35.5%) missing values Missing
w2_C10_7 has 49 (34.8%) missing values Missing
w2_C11 has 50 (35.5%) missing values Missing
w2_C12_1 has 50 (35.5%) missing values Missing
w2_C12_2 has 52 (36.9%) missing values Missing
w2_C12_3 has 51 (36.2%) missing values Missing
w2_C12_4 has 52 (36.9%) missing values Missing
w2_C12_5 has 51 (36.2%) missing values Missing
w2_D01 has 25 (17.7%) missing values Missing
w2_D02 has 25 (17.7%) missing values Missing
w2_D03_1 has 53 (37.6%) missing values Missing
w2_D03_2 has 53 (37.6%) missing values Missing
w2_D03_3 has 55 (39.0%) missing values Missing
w2_D03_4 has 54 (38.3%) missing values Missing
w2_D03_5 has 55 (39.0%) missing values Missing
w2_D03_6 has 54 (38.3%) missing values Missing
w2_D03_7 has 55 (39.0%) missing values Missing
w2_D03_8 has 54 (38.3%) missing values Missing
w2_D04 has 53 (37.6%) missing values Missing
w2_D05_1 has 57 (40.4%) missing values Missing
w2_D05_2 has 57 (40.4%) missing values Missing
w2_D05_3 has 58 (41.1%) missing values Missing
w2_D06_1 has 51 (36.2%) missing values Missing
w2_D06_2 has 51 (36.2%) missing values Missing
w2_D06_3 has 51 (36.2%) missing values Missing
w2_D06_4 has 51 (36.2%) missing values Missing
w2_D06_5 has 51 (36.2%) missing values Missing
w2_D06_other has 140 (99.3%) missing values Missing
w2_D07_1 has 56 (39.7%) missing values Missing
w2_D07_2 has 55 (39.0%) missing values Missing
w2_D07_3 has 55 (39.0%) missing values Missing
w2_D07_4 has 56 (39.7%) missing values Missing
w2_D07_5 has 55 (39.0%) missing values Missing
w2_E01_1 has 30 (21.3%) missing values Missing
w2_E01_2 has 30 (21.3%) missing values Missing
w2_E01_3 has 31 (22.0%) missing values Missing
w2_E01_4 has 30 (21.3%) missing values Missing
w2_E01_5 has 31 (22.0%) missing values Missing
w2_E01_6 has 30 (21.3%) missing values Missing
w2_E02_1 has 40 (28.4%) missing values Missing
w2_E02_2 has 43 (30.5%) missing values Missing
w2_E02_3 has 39 (27.7%) missing values Missing
w2_E02_4 has 36 (25.5%) missing values Missing
w2_E02_5 has 54 (38.3%) missing values Missing
w2_F02_1 has 141 (100.0%) missing values Missing
w2_F02_2 has 141 (100.0%) missing values Missing
w2_F02_3 has 141 (100.0%) missing values Missing
w2_F02_4 has 141 (100.0%) missing values Missing
w2_F02_5 has 141 (100.0%) missing values Missing
w2_F02_6 has 141 (100.0%) missing values Missing
w2_F02_7 has 141 (100.0%) missing values Missing
w2_F02_8 has 141 (100.0%) missing values Missing
w2_F02_9 has 141 (100.0%) missing values Missing
w2_F02_10 has 141 (100.0%) missing values Missing
w2_F02_11 has 141 (100.0%) missing values Missing
w2_F02_12 has 141 (100.0%) missing values Missing
w2_F02_13 has 141 (100.0%) missing values Missing
w2_F02_14 has 141 (100.0%) missing values Missing
w2_F02_15 has 141 (100.0%) missing values Missing
w2_F02_16 has 141 (100.0%) missing values Missing
w2_F02_17 has 141 (100.0%) missing values Missing
w2_F02_18 has 141 (100.0%) missing values Missing
w2_F02_19 has 141 (100.0%) missing values Missing
w2_F02_20 has 141 (100.0%) missing values Missing
w2_F01_1 has 44 (31.2%) missing values Missing
w2_F01_2 has 44 (31.2%) missing values Missing
w2_F01_3 has 44 (31.2%) missing values Missing
w2_F01_4 has 44 (31.2%) missing values Missing
w2_F01_5 has 44 (31.2%) missing values Missing
w2_F01_6 has 44 (31.2%) missing values Missing
w2_F01_7 has 44 (31.2%) missing values Missing
w2_F01_8 has 44 (31.2%) missing values Missing
w2_F01_9 has 44 (31.2%) missing values Missing
w2_F01_10 has 45 (31.9%) missing values Missing
w2_F01_11 has 45 (31.9%) missing values Missing
w2_F01_12 has 45 (31.9%) missing values Missing
w2_F01_13 has 45 (31.9%) missing values Missing
w2_F01_14 has 45 (31.9%) missing values Missing
w2_F01_15 has 45 (31.9%) missing values Missing
w2_F01_16 has 45 (31.9%) missing values Missing
w2_F01_17 has 45 (31.9%) missing values Missing
w2_F01_18 has 45 (31.9%) missing values Missing
w2_F01_19 has 45 (31.9%) missing values Missing
w2_F01_20 has 45 (31.9%) missing values Missing
w2_F01_21 has 45 (31.9%) missing values Missing
w2_F01_22 has 45 (31.9%) missing values Missing
w2_F01_23 has 45 (31.9%) missing values Missing
w2_F01_24 has 46 (32.6%) missing values Missing
w2_F01_25 has 45 (31.9%) missing values Missing
w2_F01_26 has 45 (31.9%) missing values Missing
w2_F01_27 has 46 (32.6%) missing values Missing
w2_F01_28 has 46 (32.6%) missing values Missing
w2_F01_29 has 46 (32.6%) missing values Missing
w2_F01_30 has 47 (33.3%) missing values Missing
w2_F01_31 has 46 (32.6%) missing values Missing
w2_F01_32 has 46 (32.6%) missing values Missing
w2_F01_33 has 46 (32.6%) missing values Missing
w2_F01_34 has 46 (32.6%) missing values Missing
w2_F01_35 has 46 (32.6%) missing values Missing
w2_F01_36 has 46 (32.6%) missing values Missing
w2_F01_37 has 46 (32.6%) missing values Missing
w2_F01_38 has 46 (32.6%) missing values Missing
w2_F01_39 has 46 (32.6%) missing values Missing
w2_F01_40 has 46 (32.6%) missing values Missing
w2_GT_A1 has 12 (8.5%) missing values Missing
w2_GT_A2 has 13 (9.2%) missing values Missing
w2_GT_B has 17 (12.1%) missing values Missing
w2_GT_C has 23 (16.3%) missing values Missing
w2_GT_D has 25 (17.7%) missing values Missing
w2_GT_E has 26 (18.4%) missing values Missing
w2_GT_F has 33 (23.4%) missing values Missing
token has unique values Unique
w2_startdate has unique values Unique
w2_datestamp has unique values Unique
w2_interviewtime has unique values Unique
w2_F02_1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_4 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_5 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_6 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_7 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_8 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_9 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_10 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_11 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_12 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_13 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_14 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_15 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_16 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_17 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_18 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_19 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_F02_20 is an unsupported type, check if it needs cleaning or further analysis Unsupported
w2_A03 has 43 (30.5%) zeros Zeros
w2_A06_1 has 3 (2.1%) zeros Zeros
w2_A06_2 has 3 (2.1%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:45:06.647220
Analysis finished2025-02-26 16:45:06.954768
Duration0.31 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2025-02-26T17:45:07.095148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters2115
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

Unique141 ?
Unique (%)100.0%

Sample

1st row0e4axaFNgQnMoUT
2nd row17K9P0c7OWHwDlo
3rd row17pZQHekeNQ1X0g
4th row1EbkdkIvGcHbA6d
5th row1kjhL6JUMLDFkNr
ValueCountFrequency (%)
0e4axafngqnmout 1
 
0.7%
17k9p0c7owhwdlo 1
 
0.7%
17pzqhekenq1x0g 1
 
0.7%
1ebkdkivgchba6d 1
 
0.7%
1kjhl6jumldfknr 1
 
0.7%
2eamctvzcru2blq 1
 
0.7%
2v1yikhpejiaaln 1
 
0.7%
4feqgcejgpmlag8 1
 
0.7%
4oghd7qtrylvfsb 1
 
0.7%
4wcfiayafb5k91t 1
 
0.7%
Other values (131) 131
92.9%
2025-02-26T17:45:07.300933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 60
 
2.8%
z 60
 
2.8%
Y 46
 
2.2%
n 44
 
2.1%
e 43
 
2.0%
d 43
 
2.0%
t 43
 
2.0%
T 41
 
1.9%
v 40
 
1.9%
O 39
 
1.8%
Other values (52) 1656
78.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2115
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 60
 
2.8%
z 60
 
2.8%
Y 46
 
2.2%
n 44
 
2.1%
e 43
 
2.0%
d 43
 
2.0%
t 43
 
2.0%
T 41
 
1.9%
v 40
 
1.9%
O 39
 
1.8%
Other values (52) 1656
78.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2115
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 60
 
2.8%
z 60
 
2.8%
Y 46
 
2.2%
n 44
 
2.1%
e 43
 
2.0%
d 43
 
2.0%
t 43
 
2.0%
T 41
 
1.9%
v 40
 
1.9%
O 39
 
1.8%
Other values (52) 1656
78.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2115
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 60
 
2.8%
z 60
 
2.8%
Y 46
 
2.2%
n 44
 
2.1%
e 43
 
2.0%
d 43
 
2.0%
t 43
 
2.0%
T 41
 
1.9%
v 40
 
1.9%
O 39
 
1.8%
Other values (52) 1656
78.3%

w2_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2025-02-26T17:45:07.369681image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1410
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 141
100.0%
2025-02-26T17:45:07.472402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 282
20.0%
n 282
20.0%
w 141
10.0%
t 141
10.0%
I 141
10.0%
d 141
10.0%
i 141
10.0%
a 141
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1410
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 282
20.0%
n 282
20.0%
w 141
10.0%
t 141
10.0%
I 141
10.0%
d 141
10.0%
i 141
10.0%
a 141
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1410
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 282
20.0%
n 282
20.0%
w 141
10.0%
t 141
10.0%
I 141
10.0%
d 141
10.0%
i 141
10.0%
a 141
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1410
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 282
20.0%
n 282
20.0%
w 141
10.0%
t 141
10.0%
I 141
10.0%
d 141
10.0%
i 141
10.0%
a 141
10.0%

w2_lastpage
Real number (ℝ)

lastpage

Distinct7
Distinct (%)5.0%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean6.935714286
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:07.512454image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18
median8
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.228690341
Coefficient of variation (CV)0.3213353736
Kurtosis2.142295466
Mean6.935714286
Median Absolute Deviation (MAD)0
Skewness-1.927676347
Sum971
Variance4.967060637
MonotonicityNot monotonic
2025-02-26T17:45:07.551488image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 106
75.2%
1 12
 
8.5%
7 9
 
6.4%
4 7
 
5.0%
3 4
 
2.8%
6 1
 
0.7%
2 1
 
0.7%
(Missing) 1
 
0.7%
ValueCountFrequency (%)
1 12
8.5%
2 1
 
0.7%
3 4
 
2.8%
4 7
5.0%
6 1
 
0.7%
ValueCountFrequency (%)
8 106
75.2%
7 9
 
6.4%
6 1
 
0.7%
4 7
 
5.0%
3 4
 
2.8%

w2_submitdate
Date

Missing 

submitdate

Distinct106
Distinct (%)100.0%
Missing35
Missing (%)24.8%
Memory size1.2 KiB
Minimum2021-07-09 11:02:45
Maximum2021-11-22 10:35:33
2025-02-26T17:45:07.599268image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:45:07.654112image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_startlanguage
Text

Constant 

startlanguage

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2025-02-26T17:45:07.691993image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters282
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 141
100.0%
2025-02-26T17:45:07.761917image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 141
50.0%
n 141
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 282
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 141
50.0%
n 141
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 282
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 141
50.0%
n 141
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 282
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 141
50.0%
n 141
50.0%

w2_startdate
Date

Unique 

startdate

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2021-07-09 10:54:35
Maximum2021-11-22 10:10:10
2025-02-26T17:45:07.811466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:45:07.867406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_datestamp
Date

Unique 

datestamp

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2021-07-09 10:54:39
Maximum2021-11-22 10:35:33
2025-02-26T17:45:07.919232image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:45:07.977570image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_refurl
Text

Missing 

refurl

Distinct3
Distinct (%)8.8%
Missing107
Missing (%)75.9%
Memory size1.7 KiB
2025-02-26T17:45:08.051918image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.64705882
Min length4

Characters and Unicode

Total characters430
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowandroid-gmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 32
94.1%
mail 1
 
2.9%
limesurvey 1
 
2.9%
2025-02-26T17:45:08.218753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 66
15.3%
a 65
15.1%
d 64
14.9%
m 34
7.9%
l 34
7.9%
r 33
7.7%
n 32
7.4%
o 32
7.4%
- 32
7.4%
g 32
7.4%
Other values (5) 6
 
1.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 430
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 66
15.3%
a 65
15.1%
d 64
14.9%
m 34
7.9%
l 34
7.9%
r 33
7.7%
n 32
7.4%
o 32
7.4%
- 32
7.4%
g 32
7.4%
Other values (5) 6
 
1.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 430
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 66
15.3%
a 65
15.1%
d 64
14.9%
m 34
7.9%
l 34
7.9%
r 33
7.7%
n 32
7.4%
o 32
7.4%
- 32
7.4%
g 32
7.4%
Other values (5) 6
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 430
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 66
15.3%
a 65
15.1%
d 64
14.9%
m 34
7.9%
l 34
7.9%
r 33
7.7%
n 32
7.4%
o 32
7.4%
- 32
7.4%
g 32
7.4%
Other values (5) 6
 
1.4%

w2_A01
Real number (ℝ)

Missing 

With whom do you live? 1. Alone [Go to w2_A07] 2. Other students 3. Partner 4. Your children 5. Parents or other relatives [Skip C01] 6. Other, please specify: ________

Distinct5
Distinct (%)3.9%
Missing12
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean4.093023256
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:08.259370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q12
median5
Q35
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.470766491
Coefficient of variation (CV)0.3593349949
Kurtosis-0.8279832061
Mean4.093023256
Median Absolute Deviation (MAD)0
Skewness-0.9562405893
Sum528
Variance2.16315407
MonotonicityNot monotonic
2025-02-26T17:45:08.296297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 87
61.7%
2 28
 
19.9%
1 7
 
5.0%
3 4
 
2.8%
6 3
 
2.1%
(Missing) 12
 
8.5%
ValueCountFrequency (%)
1 7
 
5.0%
2 28
 
19.9%
3 4
 
2.8%
5 87
61.7%
6 3
 
2.1%
ValueCountFrequency (%)
6 3
 
2.1%
5 87
61.7%
3 4
 
2.8%
2 28
 
19.9%
1 7
 
5.0%

w2_A01_other
Text

Missing 

With whom do you live? Answer: Other, please specify: ________

Distinct3
Distinct (%)100.0%
Missing138
Missing (%)97.9%
Memory size1.3 KiB
2025-02-26T17:45:08.357928image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length33
Median length14
Mean length17.66666667
Min length6

Characters and Unicode

Total characters53
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

Unique3 ?
Unique (%)100.0%

Sample

1st rowonline classes
2nd rowHostel
3rd rowStaying outside as a paying guest
ValueCountFrequency (%)
online 1
11.1%
classes 1
11.1%
hostel 1
11.1%
staying 1
11.1%
outside 1
11.1%
as 1
11.1%
a 1
11.1%
paying 1
11.1%
guest 1
11.1%
2025-02-26T17:45:08.469172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
s 7
13.2%
6
11.3%
e 5
9.4%
a 5
9.4%
n 4
7.5%
i 4
7.5%
t 4
7.5%
o 3
 
5.7%
l 3
 
5.7%
g 3
 
5.7%
Other values (7) 9
17.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 53
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 7
13.2%
6
11.3%
e 5
9.4%
a 5
9.4%
n 4
7.5%
i 4
7.5%
t 4
7.5%
o 3
 
5.7%
l 3
 
5.7%
g 3
 
5.7%
Other values (7) 9
17.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 53
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 7
13.2%
6
11.3%
e 5
9.4%
a 5
9.4%
n 4
7.5%
i 4
7.5%
t 4
7.5%
o 3
 
5.7%
l 3
 
5.7%
g 3
 
5.7%
Other values (7) 9
17.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 53
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 7
13.2%
6
11.3%
e 5
9.4%
a 5
9.4%
n 4
7.5%
i 4
7.5%
t 4
7.5%
o 3
 
5.7%
l 3
 
5.7%
g 3
 
5.7%
Other values (7) 9
17.0%

w2_A02
Real number (ℝ)

Missing 

In addition to you, how many people do you share the accommodation with? |__|

Distinct9
Distinct (%)9.2%
Missing43
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean3.979591837
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:08.512537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median3
Q34
95-th percentile6.15
Maximum30
Range29
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation4.969970839
Coefficient of variation (CV)1.248864467
Kurtosis22.02335138
Mean3.979591837
Median Absolute Deviation (MAD)1
Skewness4.646848029
Sum390
Variance24.70061014
MonotonicityNot monotonic
2025-02-26T17:45:08.549384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 44
31.2%
4 17
 
12.1%
2 14
 
9.9%
1 11
 
7.8%
5 4
 
2.8%
30 3
 
2.1%
6 3
 
2.1%
7 1
 
0.7%
16 1
 
0.7%
(Missing) 43
30.5%
ValueCountFrequency (%)
1 11
 
7.8%
2 14
 
9.9%
3 44
31.2%
4 17
 
12.1%
5 4
 
2.8%
ValueCountFrequency (%)
30 3
2.1%
16 1
 
0.7%
7 1
 
0.7%
6 3
2.1%
5 4
2.8%

w2_A03
Real number (ℝ)

Missing  Zeros 

How many of these people attend university? |__|

Distinct8
Distinct (%)8.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean1.697916667
Minimum0
Maximum30
Zeros43
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:08.586129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.396457406
Coefficient of variation (CV)2.589324607
Kurtosis35.48806817
Mean1.697916667
Median Absolute Deviation (MAD)1
Skewness5.758773586
Sum163
Variance19.32883772
MonotonicityNot monotonic
2025-02-26T17:45:08.622781image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 43
30.5%
1 27
19.1%
3 10
 
7.1%
2 8
 
5.7%
4 4
 
2.8%
30 2
 
1.4%
8 1
 
0.7%
6 1
 
0.7%
(Missing) 45
31.9%
ValueCountFrequency (%)
0 43
30.5%
1 27
19.1%
2 8
 
5.7%
3 10
 
7.1%
4 4
 
2.8%
ValueCountFrequency (%)
30 2
 
1.4%
8 1
 
0.7%
6 1
 
0.7%
4 4
 
2.8%
3 10
7.1%

w2_A04
Real number (ℝ)

Missing 

Do you have a: 1. Single bedroom 2. Bedroom shared with another person 3. Bedroom shared with two people or more

Distinct3
Distinct (%)2.6%
Missing24
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean1.846153846
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:08.659258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8470576316
Coefficient of variation (CV)0.4588228838
Kurtosis-1.546069781
Mean1.846153846
Median Absolute Deviation (MAD)1
Skewness0.3007418039
Sum216
Variance0.7175066313
MonotonicityNot monotonic
2025-02-26T17:45:08.699858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 52
36.9%
3 34
24.1%
2 31
22.0%
(Missing) 24
17.0%
ValueCountFrequency (%)
1 52
36.9%
2 31
22.0%
3 34
24.1%
ValueCountFrequency (%)
3 34
24.1%
2 31
22.0%
1 52
36.9%

w2_A05_1
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 1. Colour television (common area)

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
True
73 
False
56 
(Missing)
12 
ValueCountFrequency (%)
True 73
51.8%
False 56
39.7%
(Missing) 12
 
8.5%
2025-02-26T17:45:08.739086image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_2
Boolean

Imbalance  Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 2. Colour television (in your bedroom)

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
False
119 
True
 
10
(Missing)
12 
ValueCountFrequency (%)
False 119
84.4%
True 10
 
7.1%
(Missing) 12
 
8.5%
2025-02-26T17:45:08.771975image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_3
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 3. Home theatre/Stereo system

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
False
112 
True
17 
(Missing)
12 
ValueCountFrequency (%)
False 112
79.4%
True 17
 
12.1%
(Missing) 12
 
8.5%
2025-02-26T17:45:08.803699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_4
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 4. Satellite dish / Sky TV

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
False
88 
True
41 
(Missing)
12 
ValueCountFrequency (%)
False 88
62.4%
True 41
29.1%
(Missing) 12
 
8.5%
2025-02-26T17:45:08.837730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_5
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 5. Home computer/PC

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
False
92 
True
37 
(Missing)
12 
ValueCountFrequency (%)
False 92
65.2%
True 37
26.2%
(Missing) 12
 
8.5%
2025-02-26T17:45:08.870468image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_6
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 6. Laptop computer

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
True
105 
False
24 
(Missing)
12 
ValueCountFrequency (%)
True 105
74.5%
False 24
 
17.0%
(Missing) 12
 
8.5%
2025-02-26T17:45:08.903867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_7
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 7. Tablet

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
False
101 
True
28 
(Missing)
12 
ValueCountFrequency (%)
False 101
71.6%
True 28
 
19.9%
(Missing) 12
 
8.5%
2025-02-26T17:45:08.938182image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_8
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 8. Landline telephone

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
False
105 
True
24 
(Missing)
12 
ValueCountFrequency (%)
False 105
74.5%
True 24
 
17.0%
(Missing) 12
 
8.5%
2025-02-26T17:45:08.971738image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_9
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 9. Dishwasher

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
False
114 
True
15 
(Missing)
12 
ValueCountFrequency (%)
False 114
80.9%
True 15
 
10.6%
(Missing) 12
 
8.5%
2025-02-26T17:45:09.005902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_10
Boolean

Missing 

In your accommodation, which items do you have? (Multiple choice): Answer: 10. Wi-Fi

Distinct2
Distinct (%)1.6%
Missing12
Missing (%)8.5%
Memory size414.0 B
True
86 
False
43 
(Missing)
12 
ValueCountFrequency (%)
True 86
61.0%
False 43
30.5%
(Missing) 12
 
8.5%
2025-02-26T17:45:09.038880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A06_1
Real number (ℝ)

Missing  Zeros 

All in all, what is your commute time and distance from your accommodation to university department? Time in minutes __________

Distinct41
Distinct (%)42.3%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean2945.058144
Minimum0
Maximum240109
Zeros3
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.079900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median20
Q3120
95-th percentile1752
Maximum240109
Range240109
Interquartile range (IQR)110

Descriptive statistics

Standard deviation24475.84164
Coefficient of variation (CV)8.310817799
Kurtosis94.66326756
Mean2945.058144
Median Absolute Deviation (MAD)15
Skewness9.68358417
Sum285670.64
Variance599066824.2
MonotonicityNot monotonic
2025-02-26T17:45:09.128878image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
10.0 18
12.8%
5.0 8
 
5.7%
20.0 7
 
5.0%
45.0 6
 
4.3%
15.0 5
 
3.5%
60.0 4
 
2.8%
120.0 3
 
2.1%
90.0 3
 
2.1%
8.0 3
 
2.1%
0.0 3
 
2.1%
Other values (31) 37
26.2%
(Missing) 44
31.2%
ValueCountFrequency (%)
0.0 3
 
2.1%
1.0 1
 
0.7%
3.0 2
 
1.4%
5.0 8
5.7%
6.0 2
 
1.4%
ValueCountFrequency (%)
240109.0 1
0.7%
25920.0 1
0.7%
2880.0 1
0.7%
1800.0 2
1.4%
1740.0 1
0.7%

w2_A06_2
Real number (ℝ)

Missing  Zeros 

All in all, what is your commute time and distance from your accommodation to university department? Distance in Km ________ (Note: use decimals to indicate meters. For example, enter 0.800 if you travel 800 meter or write in 2.5 if you travel two and a half kilometres.)

Distinct52
Distinct (%)58.4%
Missing52
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean233.5783146
Minimum0
Maximum2500
Zeros3
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.178777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.216
Q11
median5
Q3100
95-th percentile1515.4
Maximum2500
Range2500
Interquartile range (IQR)99

Descriptive statistics

Standard deviation524.3781377
Coefficient of variation (CV)2.244977829
Kurtosis6.284685632
Mean233.5783146
Median Absolute Deviation (MAD)5
Skewness2.618365218
Sum20788.47
Variance274972.4312
MonotonicityNot monotonic
2025-02-26T17:45:09.231546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 11
 
7.8%
0.5 7
 
5.0%
2.0 6
 
4.3%
1.5 5
 
3.5%
5.0 4
 
2.8%
30.0 3
 
2.1%
0.0 3
 
2.1%
100.0 2
 
1.4%
25.0 2
 
1.4%
0.8 2
 
1.4%
Other values (42) 44
31.2%
(Missing) 52
36.9%
ValueCountFrequency (%)
0.0 3
2.1%
0.01 1
 
0.7%
0.16 1
 
0.7%
0.3 1
 
0.7%
0.4 1
 
0.7%
ValueCountFrequency (%)
2500.0 1
0.7%
2000.0 1
0.7%
1887.4 1
0.7%
1800.0 1
0.7%
1543.0 1
0.7%

w2_A07
Real number (ℝ)

Missing 

Have you been in paid employment in the last year or so? 1. Yes 2. No

Distinct2
Distinct (%)1.6%
Missing16
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean1.904
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.273254image/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 deviation0.2957767249
Coefficient of variation (CV)0.1553449185
Kurtosis5.799892432
Mean1.904
Median Absolute Deviation (MAD)0
Skewness-2.776209696
Sum238
Variance0.08748387097
MonotonicityNot monotonic
2025-02-26T17:45:09.310290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 113
80.1%
1 12
 
8.5%
(Missing) 16
 
11.3%
ValueCountFrequency (%)
1 12
 
8.5%
2 113
80.1%
ValueCountFrequency (%)
2 113
80.1%
1 12
 
8.5%

w2_A08
Real number (ℝ)

Missing 

Do you currently do any work, including occasional work? 1. Yes 2. No

Distinct2
Distinct (%)1.6%
Missing14
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean1.850393701
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.346967image/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 deviation0.3580977112
Coefficient of variation (CV)0.193525146
Kurtosis1.984276174
Mean1.850393701
Median Absolute Deviation (MAD)0
Skewness-1.988284141
Sum235
Variance0.1282339708
MonotonicityNot monotonic
2025-02-26T17:45:09.384131image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 108
76.6%
1 19
 
13.5%
(Missing) 14
 
9.9%
ValueCountFrequency (%)
1 19
 
13.5%
2 108
76.6%
ValueCountFrequency (%)
2 108
76.6%
1 19
 
13.5%

w2_B01_1
Real number (ℝ)

Missing 

Do you have a car driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)1.7%
Missing23
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean1.542372881
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.420174image/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 deviation0.5003258391
Coefficient of variation (CV)0.3243870825
Kurtosis-2.004582865
Mean1.542372881
Median Absolute Deviation (MAD)0
Skewness-0.172301508
Sum182
Variance0.2503259452
MonotonicityNot monotonic
2025-02-26T17:45:09.459328image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 64
45.4%
1 54
38.3%
(Missing) 23
 
16.3%
ValueCountFrequency (%)
1 54
38.3%
2 64
45.4%
ValueCountFrequency (%)
2 64
45.4%
1 54
38.3%

w2_B01_2
Real number (ℝ)

Missing 

Do you have a motorbike driver’s license? 1. Yes, 2. No

Distinct2
Distinct (%)1.7%
Missing20
Missing (%)14.2%
Infinite0
Infinite (%)0.0%
Mean1.487603306
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.496154image/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 deviation0.5019246703
Coefficient of variation (CV)0.3374049173
Kurtosis-2.031333166
Mean1.487603306
Median Absolute Deviation (MAD)0
Skewness0.0502268279
Sum180
Variance0.2519283747
MonotonicityNot monotonic
2025-02-26T17:45:09.534702image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 62
44.0%
2 59
41.8%
(Missing) 20
 
14.2%
ValueCountFrequency (%)
1 62
44.0%
2 59
41.8%
ValueCountFrequency (%)
2 59
41.8%
1 62
44.0%

w2_B01_3
Real number (ℝ)

Missing 

Do you have a bike of your own? 1. Yes, 2. No

Distinct2
Distinct (%)1.7%
Missing25
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean1.482758621
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.571241image/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 deviation0.501870564
Coefficient of variation (CV)0.3384708455
Kurtosis-2.030424513
Mean1.482758621
Median Absolute Deviation (MAD)0
Skewness0.06991388182
Sum172
Variance0.251874063
MonotonicityNot monotonic
2025-02-26T17:45:09.608870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 60
42.6%
2 56
39.7%
(Missing) 25
17.7%
ValueCountFrequency (%)
1 60
42.6%
2 56
39.7%
ValueCountFrequency (%)
2 56
39.7%
1 60
42.6%

w2_B01_4
Real number (ℝ)

Missing 

Do you have a car of your own? 1. Yes, 2. No

Distinct2
Distinct (%)1.8%
Missing28
Missing (%)19.9%
Infinite0
Infinite (%)0.0%
Mean1.831858407
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.646232image/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 deviation0.3756578722
Coefficient of variation (CV)0.2050692732
Kurtosis1.257065189
Mean1.831858407
Median Absolute Deviation (MAD)0
Skewness-1.79864639
Sum207
Variance0.1411188369
MonotonicityNot monotonic
2025-02-26T17:45:09.683204image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 94
66.7%
1 19
 
13.5%
(Missing) 28
 
19.9%
ValueCountFrequency (%)
1 19
 
13.5%
2 94
66.7%
ValueCountFrequency (%)
2 94
66.7%
1 19
 
13.5%

w2_B01_5
Real number (ℝ)

Missing 

Do you have a motorbike of your own? 1. Yes, 2. No

Distinct2
Distinct (%)1.7%
Missing24
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean1.794871795
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.719764image/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 deviation0.4055320375
Coefficient of variation (CV)0.225939278
Kurtosis0.1920203735
Mean1.794871795
Median Absolute Deviation (MAD)0
Skewness-1.479537853
Sum210
Variance0.1644562334
MonotonicityNot monotonic
2025-02-26T17:45:09.756432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 93
66.0%
1 24
 
17.0%
(Missing) 24
 
17.0%
ValueCountFrequency (%)
1 24
 
17.0%
2 93
66.0%
ValueCountFrequency (%)
2 93
66.0%
1 24
 
17.0%

w2_B01_6
Real number (ℝ)

Missing 

Do you have access to a car whenever you want? 1. Yes, 2. No

Distinct2
Distinct (%)1.7%
Missing26
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean1.47826087
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.792117image/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 deviation0.5017133117
Coefficient of variation (CV)0.3393942991
Kurtosis-2.027798529
Mean1.47826087
Median Absolute Deviation (MAD)0
Skewness0.08819336976
Sum170
Variance0.2517162471
MonotonicityNot monotonic
2025-02-26T17:45:09.830771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 60
42.6%
2 55
39.0%
(Missing) 26
18.4%
ValueCountFrequency (%)
1 60
42.6%
2 55
39.0%
ValueCountFrequency (%)
2 55
39.0%
1 60
42.6%

w2_B01_7
Real number (ℝ)

Missing 

Do you have access to a motorbike whenever you want? 1. Yes, 2. No

Distinct2
Distinct (%)1.7%
Missing24
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean1.401709402
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:09.867795image/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 deviation0.4923523595
Coefficient of variation (CV)0.3512513784
Kurtosis-1.867208447
Mean1.401709402
Median Absolute Deviation (MAD)0
Skewness0.4062131442
Sum164
Variance0.2424108459
MonotonicityNot monotonic
2025-02-26T17:45:09.905941image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 70
49.6%
2 47
33.3%
(Missing) 24
 
17.0%
ValueCountFrequency (%)
1 70
49.6%
2 47
33.3%
ValueCountFrequency (%)
2 47
33.3%
1 70
49.6%

w2_B02_1
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Walking

Distinct2
Distinct (%)1.6%
Missing17
Missing (%)12.1%
Memory size414.0 B
True
104 
False
20 
(Missing)
17 
ValueCountFrequency (%)
True 104
73.8%
False 20
 
14.2%
(Missing) 17
 
12.1%
2025-02-26T17:45:09.943246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_2
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Cycling

Distinct2
Distinct (%)1.6%
Missing17
Missing (%)12.1%
Memory size414.0 B
False
83 
True
41 
(Missing)
17 
ValueCountFrequency (%)
False 83
58.9%
True 41
29.1%
(Missing) 17
 
12.1%
2025-02-26T17:45:09.976221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_3
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car (Filter: go to question

Distinct2
Distinct (%)1.6%
Missing17
Missing (%)12.1%
Memory size414.0 B
False
87 
True
37 
(Missing)
17 
ValueCountFrequency (%)
False 87
61.7%
True 37
26.2%
(Missing) 17
 
12.1%
2025-02-26T17:45:10.009811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_4
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Car-sharing (with friends/relative etc.)

Distinct2
Distinct (%)1.6%
Missing17
Missing (%)12.1%
Memory size414.0 B
False
96 
True
28 
(Missing)
17 
ValueCountFrequency (%)
False 96
68.1%
True 28
 
19.9%
(Missing) 17
 
12.1%
2025-02-26T17:45:10.042561image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_5
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Motorbike

Distinct2
Distinct (%)1.6%
Missing17
Missing (%)12.1%
Memory size414.0 B
True
62 
False
62 
(Missing)
17 
ValueCountFrequency (%)
True 62
44.0%
False 62
44.0%
(Missing) 17
 
12.1%
2025-02-26T17:45:10.075148image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_6
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: City bus/suburban bus/Tube (Public Transport)

Distinct2
Distinct (%)1.6%
Missing17
Missing (%)12.1%
Memory size414.0 B
False
69 
True
55 
(Missing)
17 
ValueCountFrequency (%)
False 69
48.9%
True 55
39.0%
(Missing) 17
 
12.1%
2025-02-26T17:45:10.170327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_7
Boolean

Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Train

Distinct2
Distinct (%)1.6%
Missing17
Missing (%)12.1%
Memory size414.0 B
False
99 
True
25 
(Missing)
17 
ValueCountFrequency (%)
False 99
70.2%
True 25
 
17.7%
(Missing) 17
 
12.1%
2025-02-26T17:45:10.203314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_8
Boolean

Imbalance  Missing 

What is the main method that you use for getting about in your daily life? (Multiple choice) Answer: Electric scooters

Distinct2
Distinct (%)1.6%
Missing17
Missing (%)12.1%
Memory size414.0 B
False
119 
True
 
5
(Missing)
17 
ValueCountFrequency (%)
False 119
84.4%
True 5
 
3.5%
(Missing) 17
 
12.1%
2025-02-26T17:45:10.236429image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B03
Real number (ℝ)

Missing 

How often do you use public transport in the weekday? 1. Never 2. Less than once a week 3. Once a week 4. Once or twice a week 5. Most days 6. Everyday

Distinct6
Distinct (%)4.9%
Missing19
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean3.073770492
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.268582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.367679055
Coefficient of variation (CV)0.4449515858
Kurtosis-1.141268637
Mean3.073770492
Median Absolute Deviation (MAD)1
Skewness0.1801766175
Sum375
Variance1.870545996
MonotonicityNot monotonic
2025-02-26T17:45:10.305872image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 44
31.2%
4 36
25.5%
5 17
 
12.1%
1 13
 
9.2%
3 9
 
6.4%
6 3
 
2.1%
(Missing) 19
13.5%
ValueCountFrequency (%)
1 13
 
9.2%
2 44
31.2%
3 9
 
6.4%
4 36
25.5%
5 17
 
12.1%
ValueCountFrequency (%)
6 3
 
2.1%
5 17
 
12.1%
4 36
25.5%
3 9
 
6.4%
2 44
31.2%

w2_C01
Real number (ℝ)

Missing 

Would you say you know how to cook? 1. Yes, I know how to cook. 2. Yes, but only basic things. 3. No, I do not know how to cook. [go to D01]

Distinct3
Distinct (%)2.6%
Missing24
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean1.564102564
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.341977image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2.2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5928396798
Coefficient of variation (CV)0.3790286477
Kurtosis-0.6371242354
Mean1.564102564
Median Absolute Deviation (MAD)1
Skewness0.5052917747
Sum183
Variance0.3514588859
MonotonicityNot monotonic
2025-02-26T17:45:10.381732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 57
40.4%
2 54
38.3%
3 6
 
4.3%
(Missing) 24
17.0%
ValueCountFrequency (%)
1 57
40.4%
2 54
38.3%
3 6
 
4.3%
ValueCountFrequency (%)
3 6
 
4.3%
2 54
38.3%
1 57
40.4%

w2_C02
Real number (ℝ)

Missing 

Is there a kitchen in your accommodation that you can use? 1. Yes, there is a kitchen that I can regularly use. 2. Yes, there is one but I don’t have regular access to it. 3. No, there is no kitchen.

Distinct3
Distinct (%)7.7%
Missing102
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean2.051282051
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.421553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9444775205
Coefficient of variation (CV)0.4604327913
Kurtosis-1.93050528
Mean2.051282051
Median Absolute Deviation (MAD)1
Skewness-0.1060215077
Sum80
Variance0.8920377868
MonotonicityNot monotonic
2025-02-26T17:45:10.463343image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 18
 
12.8%
1 16
 
11.3%
2 5
 
3.5%
(Missing) 102
72.3%
ValueCountFrequency (%)
1 16
11.3%
2 5
 
3.5%
3 18
12.8%
ValueCountFrequency (%)
3 18
12.8%
2 5
 
3.5%
1 16
11.3%

w2_C03_1
Real number (ℝ)

Missing 

How good you are at each of the following tasks: baking cakes, cupcakes, cookies, bread from raw ingredients. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)7.3%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean4.055045872
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.503144image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.406914662
Coefficient of variation (CV)0.5935604032
Kurtosis-1.381357013
Mean4.055045872
Median Absolute Deviation (MAD)2
Skewness0.1249137427
Sum442
Variance5.793238192
MonotonicityNot monotonic
2025-02-26T17:45:10.542403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 26
18.4%
7 21
14.9%
4 15
10.6%
3 12
 
8.5%
5 11
 
7.8%
2 10
 
7.1%
6 7
 
5.0%
8 7
 
5.0%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 26
18.4%
2 10
 
7.1%
3 12
8.5%
4 15
10.6%
5 11
7.8%
ValueCountFrequency (%)
8 7
 
5.0%
7 21
14.9%
6 7
 
5.0%
5 11
7.8%
4 15
10.6%

w2_C03_2
Real number (ℝ)

Missing 

How good you are at each of the following tasks: peeling and chopping raw vegetables (including potatoes, carrots, onions, broccoli). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)7.3%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean6.064220183
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.580893image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median7
Q37
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.517034323
Coefficient of variation (CV)0.2501614844
Kurtosis1.866705746
Mean6.064220183
Median Absolute Deviation (MAD)0
Skewness-1.520811415
Sum661
Variance2.301393136
MonotonicityNot monotonic
2025-02-26T17:45:10.621082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 60
42.6%
6 16
 
11.3%
5 12
 
8.5%
4 9
 
6.4%
8 4
 
2.8%
3 3
 
2.1%
2 3
 
2.1%
1 2
 
1.4%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 2
 
1.4%
2 3
 
2.1%
3 3
 
2.1%
4 9
6.4%
5 12
8.5%
ValueCountFrequency (%)
8 4
 
2.8%
7 60
42.6%
6 16
 
11.3%
5 12
 
8.5%
4 9
 
6.4%

w2_C03_3
Real number (ℝ)

Missing 

How good you are at each of the following tasks: preparing and cooking raw meat (red meat and poultry). 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)7.3%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean4.19266055
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.658886image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.496208474
Coefficient of variation (CV)0.5953757629
Kurtosis-1.374733082
Mean4.19266055
Median Absolute Deviation (MAD)3
Skewness0.07111254586
Sum457
Variance6.231056745
MonotonicityNot monotonic
2025-02-26T17:45:10.697838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 28
19.9%
4 19
13.5%
7 18
12.8%
8 12
 
8.5%
5 10
 
7.1%
3 9
 
6.4%
6 7
 
5.0%
2 6
 
4.3%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 28
19.9%
2 6
 
4.3%
3 9
 
6.4%
4 19
13.5%
5 10
 
7.1%
ValueCountFrequency (%)
8 12
8.5%
7 18
12.8%
6 7
 
5.0%
5 10
7.1%
4 19
13.5%

w2_C03_4
Real number (ℝ)

Missing 

How good you are at each of the following tasks: preparing and cooking raw fish. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)7.3%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean3.963302752
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.735126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median4
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.648992141
Coefficient of variation (CV)0.6683799614
Kurtosis-1.488024761
Mean3.963302752
Median Absolute Deviation (MAD)3
Skewness0.2442969328
Sum432
Variance7.017159361
MonotonicityNot monotonic
2025-02-26T17:45:10.774525image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 33
23.4%
8 15
10.6%
7 14
9.9%
5 13
 
9.2%
2 13
 
9.2%
4 9
 
6.4%
6 6
 
4.3%
3 6
 
4.3%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 33
23.4%
2 13
 
9.2%
3 6
 
4.3%
4 9
 
6.4%
5 13
 
9.2%
ValueCountFrequency (%)
8 15
10.6%
7 14
9.9%
6 6
 
4.3%
5 13
9.2%
4 9
6.4%

w2_C03_5
Real number (ℝ)

Missing 

How good you are at each of the following tasks: following recipes when cooking. 1. Very poor, 2, 3, 4, 5, 6, 7. Very good, 99. Don’t Know/Can’t say

Distinct8
Distinct (%)7.3%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean5.798165138
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.812227image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q15
median7
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.778367002
Coefficient of variation (CV)0.3067120305
Kurtosis-0.01386663113
Mean5.798165138
Median Absolute Deviation (MAD)1
Skewness-0.8557955469
Sum632
Variance3.162589195
MonotonicityNot monotonic
2025-02-26T17:45:10.849994image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 42
29.8%
4 15
 
10.6%
5 15
 
10.6%
8 13
 
9.2%
6 12
 
8.5%
3 6
 
4.3%
1 3
 
2.1%
2 3
 
2.1%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 3
 
2.1%
2 3
 
2.1%
3 6
 
4.3%
4 15
10.6%
5 15
10.6%
ValueCountFrequency (%)
8 13
 
9.2%
7 42
29.8%
6 12
 
8.5%
5 15
 
10.6%
4 15
 
10.6%

w2_C04
Real number (ℝ)

Missing 

How often do you cook a main meal? 1. Daily 2. Several times a week 3. Once a week 4. Less than once a week 5. Never

Distinct5
Distinct (%)4.7%
Missing34
Missing (%)24.1%
Infinite0
Infinite (%)0.0%
Mean3.056074766
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.888967image/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 deviation1.227297812
Coefficient of variation (CV)0.401592862
Kurtosis-1.096302281
Mean3.056074766
Median Absolute Deviation (MAD)1
Skewness-0.1709803399
Sum327
Variance1.506259919
MonotonicityNot monotonic
2025-02-26T17:45:10.930001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 37
26.2%
2 27
19.1%
3 19
13.5%
1 13
 
9.2%
5 11
 
7.8%
(Missing) 34
24.1%
ValueCountFrequency (%)
1 13
 
9.2%
2 27
19.1%
3 19
13.5%
4 37
26.2%
5 11
 
7.8%
ValueCountFrequency (%)
5 11
 
7.8%
4 37
26.2%
3 19
13.5%
2 27
19.1%
1 13
 
9.2%

w2_C05_1
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking makes me happy.

Distinct7
Distinct (%)6.4%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean4.779816514
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:10.969523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.827555533
Coefficient of variation (CV)0.3823484704
Kurtosis-0.9144116388
Mean4.779816514
Median Absolute Deviation (MAD)1
Skewness-0.306839488
Sum521
Variance3.339959225
MonotonicityNot monotonic
2025-02-26T17:45:11.006288image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 30
21.3%
4 28
19.9%
5 15
10.6%
6 12
 
8.5%
2 10
 
7.1%
3 9
 
6.4%
1 5
 
3.5%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 5
 
3.5%
2 10
 
7.1%
3 9
 
6.4%
4 28
19.9%
5 15
10.6%
ValueCountFrequency (%)
7 30
21.3%
6 12
 
8.5%
5 15
10.6%
4 28
19.9%
3 9
 
6.4%

w2_C05_2
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is time consuming.

Distinct7
Distinct (%)6.4%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean4.19266055
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:11.041641image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.707700773
Coefficient of variation (CV)0.4073071866
Kurtosis-0.7516895283
Mean4.19266055
Median Absolute Deviation (MAD)1
Skewness-0.1246588044
Sum457
Variance2.91624193
MonotonicityNot monotonic
2025-02-26T17:45:11.078324image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 26
18.4%
4 22
15.6%
3 17
12.1%
2 12
 
8.5%
7 12
 
8.5%
6 12
 
8.5%
1 8
 
5.7%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 8
 
5.7%
2 12
8.5%
3 17
12.1%
4 22
15.6%
5 26
18.4%
ValueCountFrequency (%)
7 12
8.5%
6 12
8.5%
5 26
18.4%
4 22
15.6%
3 17
12.1%

w2_C05_3
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: I am good at cooking.

Distinct7
Distinct (%)6.4%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean4.568807339
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:11.113057image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.78661159
Coefficient of variation (CV)0.3910455085
Kurtosis-0.9106561371
Mean4.568807339
Median Absolute Deviation (MAD)1
Skewness-0.1890842007
Sum498
Variance3.191980972
MonotonicityNot monotonic
2025-02-26T17:45:11.149687image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 25
17.7%
7 22
15.6%
3 17
12.1%
6 16
11.3%
5 15
10.6%
2 8
 
5.7%
1 6
 
4.3%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 6
 
4.3%
2 8
 
5.7%
3 17
12.1%
4 25
17.7%
5 15
10.6%
ValueCountFrequency (%)
7 22
15.6%
6 16
11.3%
5 15
10.6%
4 25
17.7%
3 17
12.1%

w2_C05_4
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is costly

Distinct7
Distinct (%)6.5%
Missing33
Missing (%)23.4%
Infinite0
Infinite (%)0.0%
Mean2.888888889
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:11.184497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.613803387
Coefficient of variation (CV)0.5586242492
Kurtosis-0.8153706321
Mean2.888888889
Median Absolute Deviation (MAD)1
Skewness0.4418749028
Sum312
Variance2.604361371
MonotonicityNot monotonic
2025-02-26T17:45:11.220928image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 29
20.6%
4 23
16.3%
2 22
15.6%
3 16
11.3%
5 10
 
7.1%
6 7
 
5.0%
7 1
 
0.7%
(Missing) 33
23.4%
ValueCountFrequency (%)
1 29
20.6%
2 22
15.6%
3 16
11.3%
4 23
16.3%
5 10
 
7.1%
ValueCountFrequency (%)
7 1
 
0.7%
6 7
 
5.0%
5 10
7.1%
4 23
16.3%
3 16
11.3%

w2_C05_5
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking helps me eat healthy.

Distinct7
Distinct (%)6.5%
Missing33
Missing (%)23.4%
Infinite0
Infinite (%)0.0%
Mean5.361111111
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:11.256866image/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 deviation1.654550979
Coefficient of variation (CV)0.3086209079
Kurtosis0.2080739025
Mean5.361111111
Median Absolute Deviation (MAD)1
Skewness-0.974228801
Sum579
Variance2.737538941
MonotonicityNot monotonic
2025-02-26T17:45:11.294041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 34
24.1%
6 27
19.1%
5 19
13.5%
4 12
 
8.5%
3 8
 
5.7%
1 4
 
2.8%
2 4
 
2.8%
(Missing) 33
23.4%
ValueCountFrequency (%)
1 4
 
2.8%
2 4
 
2.8%
3 8
5.7%
4 12
8.5%
5 19
13.5%
ValueCountFrequency (%)
7 34
24.1%
6 27
19.1%
5 19
13.5%
4 12
 
8.5%
3 8
 
5.7%

w2_C05_6
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is difficult.

Distinct7
Distinct (%)6.4%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean2.990825688
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:11.331322image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.750636989
Coefficient of variation (CV)0.5853356804
Kurtosis-0.4480182006
Mean2.990825688
Median Absolute Deviation (MAD)1
Skewness0.7526376822
Sum326
Variance3.064729867
MonotonicityNot monotonic
2025-02-26T17:45:11.367982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 32
22.7%
1 23
16.3%
3 19
13.5%
5 11
 
7.8%
4 11
 
7.8%
6 8
 
5.7%
7 5
 
3.5%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 23
16.3%
2 32
22.7%
3 19
13.5%
4 11
 
7.8%
5 11
 
7.8%
ValueCountFrequency (%)
7 5
 
3.5%
6 8
5.7%
5 11
7.8%
4 11
7.8%
3 19
13.5%

w2_C05_7
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is important to me.

Distinct7
Distinct (%)6.4%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean4.550458716
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:11.403330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.868284213
Coefficient of variation (CV)0.4105705225
Kurtosis-1.096138903
Mean4.550458716
Median Absolute Deviation (MAD)1
Skewness-0.2845132781
Sum496
Variance3.490485899
MonotonicityNot monotonic
2025-02-26T17:45:11.439390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 23
16.3%
4 21
14.9%
7 20
14.2%
2 15
10.6%
5 13
9.2%
3 11
 
7.8%
1 6
 
4.3%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 6
 
4.3%
2 15
10.6%
3 11
7.8%
4 21
14.9%
5 13
9.2%
ValueCountFrequency (%)
7 20
14.2%
6 23
16.3%
5 13
9.2%
4 21
14.9%
3 11
7.8%

w2_C05_8
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: Cooking is just a chore I have to do.

Distinct7
Distinct (%)6.4%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean3.385321101
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:11.474167image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6.6
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.815102573
Coefficient of variation (CV)0.5361685107
Kurtosis-0.9281775686
Mean3.385321101
Median Absolute Deviation (MAD)1
Skewness0.3445673435
Sum369
Variance3.29459735
MonotonicityNot monotonic
2025-02-26T17:45:11.510999image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 22
15.6%
4 22
15.6%
1 20
14.2%
3 16
11.3%
6 12
 
8.5%
5 11
 
7.8%
7 6
 
4.3%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 20
14.2%
2 22
15.6%
3 16
11.3%
4 22
15.6%
5 11
7.8%
ValueCountFrequency (%)
7 6
 
4.3%
6 12
8.5%
5 11
7.8%
4 22
15.6%
3 16
11.3%

w2_C05_9
Real number (ℝ)

Missing 

Please, indicate your level of agreement with the following statements. (1) strongly disagree - (7) strongly agree. Statement: When cooking, I like to try new recipes.

Distinct7
Distinct (%)6.4%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean5.532110092
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:11.545825image/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 deviation1.702769027
Coefficient of variation (CV)0.3077973862
Kurtosis0.6411121362
Mean5.532110092
Median Absolute Deviation (MAD)1
Skewness-1.19654618
Sum603
Variance2.899422358
MonotonicityNot monotonic
2025-02-26T17:45:11.581432image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 43
30.5%
6 25
17.7%
5 16
 
11.3%
4 11
 
7.8%
1 5
 
3.5%
3 5
 
3.5%
2 4
 
2.8%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 5
 
3.5%
2 4
 
2.8%
3 5
 
3.5%
4 11
7.8%
5 16
11.3%
ValueCountFrequency (%)
7 43
30.5%
6 25
17.7%
5 16
 
11.3%
4 11
 
7.8%
3 5
 
3.5%

w2_C06_1
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Turn to your family for tips

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
True
75 
False
37 
(Missing)
29 
ValueCountFrequency (%)
True 75
53.2%
False 37
26.2%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.618195image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_2
Boolean

Imbalance  Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look online for recipes

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
True
100 
False
12 
(Missing)
29 
ValueCountFrequency (%)
True 100
70.9%
False 12
 
8.5%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.649500image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_3
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Look in cookbooks/magazines

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
False
91 
True
21 
(Missing)
29 
ValueCountFrequency (%)
False 91
64.5%
True 21
 
14.9%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.681498image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_4
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Use recipe apps

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
False
69 
True
43 
(Missing)
29 
ValueCountFrequency (%)
False 69
48.9%
True 43
30.5%
(Missing) 29
20.6%
2025-02-26T17:45:11.712742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_5
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Watch cooking shows online or on TV

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
False
63 
True
49 
(Missing)
29 
ValueCountFrequency (%)
False 63
44.7%
True 49
34.8%
(Missing) 29
20.6%
2025-02-26T17:45:11.743852image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_6
Boolean

Missing 

When looking for ideas or inspiration about cooking, what are you most likely to do? (Multiple choice) Answer: Ask friends for ideas

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
False
80 
True
32 
(Missing)
29 
ValueCountFrequency (%)
False 80
56.7%
True 32
 
22.7%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.775860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_1
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I don’t follow a specific diet

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
True
67 
False
45 
(Missing)
29 
ValueCountFrequency (%)
True 67
47.5%
False 45
31.9%
(Missing) 29
20.6%
2025-02-26T17:45:11.806955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_2
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I follow a vegetarian or vegan diet

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
False
83 
True
29 
(Missing)
29 
ValueCountFrequency (%)
False 83
58.9%
True 29
 
20.6%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.838183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_3
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid certain foods for religious or cultural reasons

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
False
86 
True
26 
(Missing)
29 
ValueCountFrequency (%)
False 86
61.0%
True 26
 
18.4%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.870266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_4
Boolean

Imbalance  Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I avoid or limit my intake of certain foods due to health problems (allergies, gluten intolerance, ...)

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
False
102 
True
 
10
(Missing)
29 
ValueCountFrequency (%)
False 102
72.3%
True 10
 
7.1%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.901904image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_5
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I have no health issues but follow a health-food diet rigidly

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
False
83 
True
29 
(Missing)
29 
ValueCountFrequency (%)
False 83
58.9%
True 29
 
20.6%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.933059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_6
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I limit consumption of certain foods to lose/maintain weight

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
False
88 
True
24 
(Missing)
29 
ValueCountFrequency (%)
False 88
62.4%
True 24
 
17.0%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.965592image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_7
Boolean

Missing 

Let us talk about your diet. Which of the following applies to you? (Multiple choice). Answer: I like to try new foods and tastes.

Distinct2
Distinct (%)1.8%
Missing29
Missing (%)20.6%
Memory size414.0 B
True
74 
False
38 
(Missing)
29 
ValueCountFrequency (%)
True 74
52.5%
False 38
27.0%
(Missing) 29
 
20.6%
2025-02-26T17:45:11.997189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C08
Real number (ℝ)

Missing 

Which of the following statements best describes you? 1. For me, eating is a pleasure. 2. Eating for me is just a way not to feel hungry.

Distinct2
Distinct (%)1.8%
Missing32
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean1.28440367
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.030716image/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 deviation0.4532136917
Coefficient of variation (CV)0.3528592314
Kurtosis-1.080836593
Mean1.28440367
Median Absolute Deviation (MAD)0
Skewness0.9691947628
Sum140
Variance0.2054026504
MonotonicityNot monotonic
2025-02-26T17:45:12.067575image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 78
55.3%
2 31
 
22.0%
(Missing) 32
22.7%
ValueCountFrequency (%)
1 78
55.3%
2 31
 
22.0%
ValueCountFrequency (%)
2 31
 
22.0%
1 78
55.3%

w2_C09
Real number (ℝ)

Missing 

Last month, how often did you shop for food groceries? 1. Rarely/Never [go to C13] 2. Once every 2 weeks 3. Once a week 4. A few times per week 5. Everyday

Distinct5
Distinct (%)4.5%
Missing30
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean2.81981982
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.103121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.054843359
Coefficient of variation (CV)0.3740818303
Kurtosis-0.825226383
Mean2.81981982
Median Absolute Deviation (MAD)1
Skewness-0.2933403128
Sum313
Variance1.112694513
MonotonicityNot monotonic
2025-02-26T17:45:12.143831image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 39
27.7%
4 31
22.0%
2 23
16.3%
1 16
11.3%
5 2
 
1.4%
(Missing) 30
21.3%
ValueCountFrequency (%)
1 16
11.3%
2 23
16.3%
3 39
27.7%
4 31
22.0%
5 2
 
1.4%
ValueCountFrequency (%)
5 2
 
1.4%
4 31
22.0%
3 39
27.7%
2 23
16.3%
1 16
11.3%

w2_C10_1
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Organic. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)4.4%
Missing50
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean2.747252747
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.181597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.5
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.783062458
Coefficient of variation (CV)0.2850347347
Kurtosis-0.2696755318
Mean2.747252747
Median Absolute Deviation (MAD)1
Skewness-0.2291683136
Sum250
Variance0.6131868132
MonotonicityNot monotonic
2025-02-26T17:45:12.218106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 45
31.9%
2 27
19.1%
4 14
 
9.9%
1 5
 
3.5%
(Missing) 50
35.5%
ValueCountFrequency (%)
1 5
 
3.5%
2 27
19.1%
3 45
31.9%
4 14
 
9.9%
ValueCountFrequency (%)
4 14
 
9.9%
3 45
31.9%
2 27
19.1%
1 5
 
3.5%

w2_C10_2
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Zero-mile. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)4.7%
Missing56
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean1.894117647
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.315748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8021330108
Coefficient of variation (CV)0.4234863721
Kurtosis-0.9668059975
Mean1.894117647
Median Absolute Deviation (MAD)1
Skewness0.3370617663
Sum161
Variance0.6434173669
MonotonicityNot monotonic
2025-02-26T17:45:12.352540image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 33
23.4%
1 31
22.0%
3 20
 
14.2%
4 1
 
0.7%
(Missing) 56
39.7%
ValueCountFrequency (%)
1 31
22.0%
2 33
23.4%
3 20
14.2%
4 1
 
0.7%
ValueCountFrequency (%)
4 1
 
0.7%
3 20
14.2%
2 33
23.4%
1 31
22.0%

w2_C10_3
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Weight-loss pills, teas and products - slim fast, weight watchers, meal replacements. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)4.3%
Missing49
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean1.630434783
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.389071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.873509925
Coefficient of variation (CV)0.535752754
Kurtosis0.4724635834
Mean1.630434783
Median Absolute Deviation (MAD)0
Skewness1.207172482
Sum150
Variance0.7630195891
MonotonicityNot monotonic
2025-02-26T17:45:12.425041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 54
38.3%
2 22
15.6%
3 12
 
8.5%
4 4
 
2.8%
(Missing) 49
34.8%
ValueCountFrequency (%)
1 54
38.3%
2 22
15.6%
3 12
 
8.5%
4 4
 
2.8%
ValueCountFrequency (%)
4 4
 
2.8%
3 12
 
8.5%
2 22
15.6%
1 54
38.3%

w2_C10_4
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Dietary supplements - vitamins, iron, potassium... 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)4.4%
Missing50
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean2.010989011
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.460832image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9717624938
Coefficient of variation (CV)0.4832261581
Kurtosis-0.8760892824
Mean2.010989011
Median Absolute Deviation (MAD)1
Skewness0.4976607565
Sum183
Variance0.9443223443
MonotonicityNot monotonic
2025-02-26T17:45:12.499307image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 35
24.8%
2 27
19.1%
3 22
15.6%
4 7
 
5.0%
(Missing) 50
35.5%
ValueCountFrequency (%)
1 35
24.8%
2 27
19.1%
3 22
15.6%
4 7
 
5.0%
ValueCountFrequency (%)
4 7
 
5.0%
3 22
15.6%
2 27
19.1%
1 35
24.8%

w2_C10_5
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Frozen items. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)4.3%
Missing49
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.108695652
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.535848image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q33
95-th percentile3.45
Maximum4
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.844588745
Coefficient of variation (CV)0.4005266213
Kurtosis-0.4890399341
Mean2.108695652
Median Absolute Deviation (MAD)1
Skewness0.3489374469
Sum194
Variance0.7133301481
MonotonicityNot monotonic
2025-02-26T17:45:12.572425image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 41
29.1%
1 23
16.3%
3 23
16.3%
4 5
 
3.5%
(Missing) 49
34.8%
ValueCountFrequency (%)
1 23
16.3%
2 41
29.1%
3 23
16.3%
4 5
 
3.5%
ValueCountFrequency (%)
4 5
 
3.5%
3 23
16.3%
2 41
29.1%
1 23
16.3%

w2_C10_6
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Allergen-free products - gluten free, lactose free. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)4.4%
Missing50
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean1.571428571
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.607732image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.7622023228
Coefficient of variation (CV)0.4850378418
Kurtosis0.893125427
Mean1.571428571
Median Absolute Deviation (MAD)0
Skewness1.215805791
Sum143
Variance0.580952381
MonotonicityNot monotonic
2025-02-26T17:45:12.644672image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 52
36.9%
2 28
19.9%
3 9
 
6.4%
4 2
 
1.4%
(Missing) 50
35.5%
ValueCountFrequency (%)
1 52
36.9%
2 28
19.9%
3 9
 
6.4%
4 2
 
1.4%
ValueCountFrequency (%)
4 2
 
1.4%
3 9
 
6.4%
2 28
19.9%
1 52
36.9%

w2_C10_7
Real number (ℝ)

Missing 

Last month, how often did you buy the types of food products and supplements: Ready meals - to be just heated or defrosted in microwave/oven. 1. Never, 2. Rarely, 3. Often, 4. Always

Distinct4
Distinct (%)4.3%
Missing49
Missing (%)34.8%
Infinite0
Infinite (%)0.0%
Mean2.065217391
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.680310image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3.45
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8993813237
Coefficient of variation (CV)0.4354899041
Kurtosis-0.8322339575
Mean2.065217391
Median Absolute Deviation (MAD)1
Skewness0.3331029063
Sum190
Variance0.8088867654
MonotonicityNot monotonic
2025-02-26T17:45:12.717172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 33
23.4%
1 29
20.6%
3 25
17.7%
4 5
 
3.5%
(Missing) 49
34.8%
ValueCountFrequency (%)
1 29
20.6%
2 33
23.4%
3 25
17.7%
4 5
 
3.5%
ValueCountFrequency (%)
4 5
 
3.5%
3 25
17.7%
2 33
23.4%
1 29
20.6%

w2_C11
Real number (ℝ)

Missing 

How much time do you spend shopping for your food groceries? Do not include the time to get to and from the store. 1. Little time, I shop as quickly as possible. 2. Time enough to find all I need. 3. More time than the strictly necessary.

Distinct3
Distinct (%)3.3%
Missing50
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean1.714285714
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.755244image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5225092085
Coefficient of variation (CV)0.3047970383
Kurtosis-0.5308379706
Mean1.714285714
Median Absolute Deviation (MAD)0
Skewness-0.2242900648
Sum156
Variance0.273015873
MonotonicityNot monotonic
2025-02-26T17:45:12.795645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 59
41.8%
1 29
20.6%
3 3
 
2.1%
(Missing) 50
35.5%
ValueCountFrequency (%)
1 29
20.6%
2 59
41.8%
3 3
 
2.1%
ValueCountFrequency (%)
3 3
 
2.1%
2 59
41.8%
1 29
20.6%

w2_C12_1
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Specialised food shops (fishery, butchery, bakery, fruit and vegetable shops). 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)5.5%
Missing50
Missing (%)35.5%
Infinite0
Infinite (%)0.0%
Mean2.813186813
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.836337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.094553059
Coefficient of variation (CV)0.3890794075
Kurtosis-0.8196860938
Mean2.813186813
Median Absolute Deviation (MAD)1
Skewness-0.1904067106
Sum256
Variance1.198046398
MonotonicityNot monotonic
2025-02-26T17:45:12.877514image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 31
22.0%
4 24
17.0%
2 19
 
13.5%
1 14
 
9.9%
5 3
 
2.1%
(Missing) 50
35.5%
ValueCountFrequency (%)
1 14
9.9%
2 19
13.5%
3 31
22.0%
4 24
17.0%
5 3
 
2.1%
ValueCountFrequency (%)
5 3
 
2.1%
4 24
17.0%
3 31
22.0%
2 19
13.5%
1 14
9.9%

w2_C12_2
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Organic Shops. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)5.6%
Missing52
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean2.449438202
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:12.917837image/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 deviation1.022599583
Coefficient of variation (CV)0.4174833162
Kurtosis-0.7823011345
Mean2.449438202
Median Absolute Deviation (MAD)1
Skewness0.3027038797
Sum218
Variance1.045709908
MonotonicityNot monotonic
2025-02-26T17:45:12.960415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 35
24.8%
3 21
14.9%
1 16
 
11.3%
4 16
 
11.3%
5 1
 
0.7%
(Missing) 52
36.9%
ValueCountFrequency (%)
1 16
11.3%
2 35
24.8%
3 21
14.9%
4 16
11.3%
5 1
 
0.7%
ValueCountFrequency (%)
5 1
 
0.7%
4 16
11.3%
3 21
14.9%
2 35
24.8%
1 16
11.3%

w2_C12_3
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Supermarkets. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)5.6%
Missing51
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean3.377777778
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.001331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q13
median4
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8686522918
Coefficient of variation (CV)0.2571667969
Kurtosis1.239950698
Mean3.377777778
Median Absolute Deviation (MAD)1
Skewness-1.033722444
Sum304
Variance0.754556804
MonotonicityNot monotonic
2025-02-26T17:45:13.041442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 43
30.5%
3 34
24.1%
1 5
 
3.5%
2 5
 
3.5%
5 3
 
2.1%
(Missing) 51
36.2%
ValueCountFrequency (%)
1 5
 
3.5%
2 5
 
3.5%
3 34
24.1%
4 43
30.5%
5 3
 
2.1%
ValueCountFrequency (%)
5 3
 
2.1%
4 43
30.5%
3 34
24.1%
2 5
 
3.5%
1 5
 
3.5%

w2_C12_4
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Discount supermarket. 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)5.6%
Missing52
Missing (%)36.9%
Infinite0
Infinite (%)0.0%
Mean2.775280899
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.080407image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.052624523
Coefficient of variation (CV)0.3792857592
Kurtosis-0.9495287784
Mean2.775280899
Median Absolute Deviation (MAD)1
Skewness-0.2517274148
Sum247
Variance1.108018386
MonotonicityNot monotonic
2025-02-26T17:45:13.121595image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 29
20.6%
4 25
17.7%
2 21
14.9%
1 13
 
9.2%
5 1
 
0.7%
(Missing) 52
36.9%
ValueCountFrequency (%)
1 13
9.2%
2 21
14.9%
3 29
20.6%
4 25
17.7%
5 1
 
0.7%
ValueCountFrequency (%)
5 1
 
0.7%
4 25
17.7%
3 29
20.6%
2 21
14.9%
1 13
9.2%

w2_C12_5
Real number (ℝ)

Missing 

How often did you shop at the following super/markets last month? Answer: Street markets 1. Never, 2. Rarely, 3. Often, 4. Always, 5. No nearby shops

Distinct5
Distinct (%)5.6%
Missing51
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean2.9
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.161189image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.039122361
Coefficient of variation (CV)0.3583180555
Kurtosis-0.5967134457
Mean2.9
Median Absolute Deviation (MAD)1
Skewness-0.1032357914
Sum261
Variance1.079775281
MonotonicityNot monotonic
2025-02-26T17:45:13.201675image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 32
22.7%
4 23
16.3%
2 22
15.6%
1 9
 
6.4%
5 4
 
2.8%
(Missing) 51
36.2%
ValueCountFrequency (%)
1 9
 
6.4%
2 22
15.6%
3 32
22.7%
4 23
16.3%
5 4
 
2.8%
ValueCountFrequency (%)
5 4
 
2.8%
4 23
16.3%
3 32
22.7%
2 22
15.6%
1 9
 
6.4%

w2_D01
Real number (ℝ)

Missing 

Beyond walking about, do you engage in other physical activities? 1. Yes 2. No

Distinct2
Distinct (%)1.7%
Missing25
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean1.25862069
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.242526image/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 deviation0.4397764186
Coefficient of variation (CV)0.3494114011
Kurtosis-0.7658279265
Mean1.25862069
Median Absolute Deviation (MAD)0
Skewness1.116995022
Sum146
Variance0.1934032984
MonotonicityNot monotonic
2025-02-26T17:45:13.278985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 86
61.0%
2 30
 
21.3%
(Missing) 25
 
17.7%
ValueCountFrequency (%)
1 86
61.0%
2 30
 
21.3%
ValueCountFrequency (%)
2 30
 
21.3%
1 86
61.0%

w2_D02
Real number (ℝ)

Missing 

Have you been physically active on a regular basis in the last year or so? 1. Yes 2. No [If w2_D01=No and w2_D02=No go to F01]

Distinct2
Distinct (%)1.7%
Missing25
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean1.422413793
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.315520image/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 deviation0.4960866346
Coefficient of variation (CV)0.348763937
Kurtosis-1.9323182
Mean1.422413793
Median Absolute Deviation (MAD)0
Skewness0.31828057
Sum165
Variance0.246101949
MonotonicityNot monotonic
2025-02-26T17:45:13.353782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 67
47.5%
2 49
34.8%
(Missing) 25
 
17.7%
ValueCountFrequency (%)
1 67
47.5%
2 49
34.8%
ValueCountFrequency (%)
2 49
34.8%
1 67
47.5%

w2_D03_1
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Cardio/fitness activities like swimming, running, jogging, stair climbing, cycling or rope skipping.

Distinct4
Distinct (%)4.5%
Missing53
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean2.693181818
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.388933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065206845
Coefficient of variation (CV)0.395519841
Kurtosis-1.223170605
Mean2.693181818
Median Absolute Deviation (MAD)1
Skewness-0.1712170616
Sum237
Variance1.134665622
MonotonicityNot monotonic
2025-02-26T17:45:13.425982image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 26
18.4%
2 25
17.7%
3 23
16.3%
1 14
 
9.9%
(Missing) 53
37.6%
ValueCountFrequency (%)
1 14
9.9%
2 25
17.7%
3 23
16.3%
4 26
18.4%
ValueCountFrequency (%)
4 26
18.4%
3 23
16.3%
2 25
17.7%
1 14
9.9%

w2_D03_2
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Yoga, stretching and fitness dancing activities like aerobics, dance exercise, Pilates.

Distinct4
Distinct (%)4.5%
Missing53
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean2.613636364
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.461592image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.021963607
Coefficient of variation (CV)0.3910121626
Kurtosis-1.109064475
Mean2.613636364
Median Absolute Deviation (MAD)1
Skewness-0.08380677584
Sum230
Variance1.044409613
MonotonicityNot monotonic
2025-02-26T17:45:13.499090image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 27
19.1%
3 26
18.4%
4 21
 
14.9%
1 14
 
9.9%
(Missing) 53
37.6%
ValueCountFrequency (%)
1 14
9.9%
2 27
19.1%
3 26
18.4%
4 21
14.9%
ValueCountFrequency (%)
4 21
14.9%
3 26
18.4%
2 27
19.1%
1 14
9.9%

w2_D03_3
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Water sports like skiing, snowboarding, wakeboarding, diving, canoeing or rowing.

Distinct4
Distinct (%)4.7%
Missing55
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean1.255813953
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.534867image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.61712896
Coefficient of variation (CV)0.4914175051
Kurtosis8.721136084
Mean1.255813953
Median Absolute Deviation (MAD)0
Skewness2.855335158
Sum108
Variance0.3808481532
MonotonicityNot monotonic
2025-02-26T17:45:13.572228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 70
49.6%
2 12
 
8.5%
4 2
 
1.4%
3 2
 
1.4%
(Missing) 55
39.0%
ValueCountFrequency (%)
1 70
49.6%
2 12
 
8.5%
3 2
 
1.4%
4 2
 
1.4%
ValueCountFrequency (%)
4 2
 
1.4%
3 2
 
1.4%
2 12
 
8.5%
1 70
49.6%

w2_D03_4
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Weightlifting and resistance training including free weights, bench press, leg press, push-ups, pull-ups or sit-ups.

Distinct4
Distinct (%)4.6%
Missing54
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean2.24137931
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.609400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.077955831
Coefficient of variation (CV)0.4809341399
Kurtosis-1.363950207
Mean2.24137931
Median Absolute Deviation (MAD)1
Skewness0.1274418542
Sum195
Variance1.161988773
MonotonicityNot monotonic
2025-02-26T17:45:13.646159image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 31
22.0%
3 30
21.3%
2 15
 
10.6%
4 11
 
7.8%
(Missing) 54
38.3%
ValueCountFrequency (%)
1 31
22.0%
2 15
10.6%
3 30
21.3%
4 11
 
7.8%
ValueCountFrequency (%)
4 11
 
7.8%
3 30
21.3%
2 15
10.6%
1 31
22.0%

w2_D03_5
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Team sports like soccer, basketball, hockey, baseball, and volleyball.

Distinct4
Distinct (%)4.7%
Missing55
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean1.802325581
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.682098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.026928801
Coefficient of variation (CV)0.5697798512
Kurtosis-0.6320697304
Mean1.802325581
Median Absolute Deviation (MAD)0
Skewness0.8766576564
Sum155
Variance1.054582763
MonotonicityNot monotonic
2025-02-26T17:45:13.719085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 48
34.0%
3 17
 
12.1%
2 14
 
9.9%
4 7
 
5.0%
(Missing) 55
39.0%
ValueCountFrequency (%)
1 48
34.0%
2 14
 
9.9%
3 17
 
12.1%
4 7
 
5.0%
ValueCountFrequency (%)
4 7
 
5.0%
3 17
 
12.1%
2 14
 
9.9%
1 48
34.0%

w2_D03_6
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Boxing and martial arts like judo, karate and taekwondo.

Distinct4
Distinct (%)4.6%
Missing54
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean1.413793103
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.754556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.814858015
Coefficient of variation (CV)0.5763629862
Kurtosis2.38380001
Mean1.413793103
Median Absolute Deviation (MAD)0
Skewness1.868588445
Sum123
Variance0.6639935846
MonotonicityNot monotonic
2025-02-26T17:45:13.792152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 66
46.8%
3 9
 
6.4%
2 9
 
6.4%
4 3
 
2.1%
(Missing) 54
38.3%
ValueCountFrequency (%)
1 66
46.8%
2 9
 
6.4%
3 9
 
6.4%
4 3
 
2.1%
ValueCountFrequency (%)
4 3
 
2.1%
3 9
 
6.4%
2 9
 
6.4%
1 66
46.8%

w2_D03_7
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Racket sports such as tennis, ping pong, and squash.

Distinct4
Distinct (%)4.7%
Missing55
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean1.674418605
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.828168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3.75
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9386079864
Coefficient of variation (CV)0.5605575474
Kurtosis0.09784704299
Mean1.674418605
Median Absolute Deviation (MAD)0
Skewness1.137773923
Sum144
Variance0.8809849521
MonotonicityNot monotonic
2025-02-26T17:45:13.864441image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 51
36.2%
2 17
 
12.1%
3 13
 
9.2%
4 5
 
3.5%
(Missing) 55
39.0%
ValueCountFrequency (%)
1 51
36.2%
2 17
 
12.1%
3 13
 
9.2%
4 5
 
3.5%
ValueCountFrequency (%)
4 5
 
3.5%
3 13
 
9.2%
2 17
 
12.1%
1 51
36.2%

w2_D03_8
Real number (ℝ)

Missing 

Question: During the last year or so, how often have you done the following types of sport activities? | Answer: Outdoor recreational sports like climbing, hill trekking, walking, mountain biking, orienteering, skateboarding.

Distinct4
Distinct (%)4.6%
Missing54
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean1.735632184
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.900916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.005331949
Coefficient of variation (CV)0.5792309906
Kurtosis-0.01752655708
Mean1.735632184
Median Absolute Deviation (MAD)0
Skewness1.11911655
Sum151
Variance1.010692328
MonotonicityNot monotonic
2025-02-26T17:45:13.937915image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 50
35.5%
2 18
 
12.8%
3 11
 
7.8%
4 8
 
5.7%
(Missing) 54
38.3%
ValueCountFrequency (%)
1 50
35.5%
2 18
 
12.8%
3 11
 
7.8%
4 8
 
5.7%
ValueCountFrequency (%)
4 8
 
5.7%
3 11
 
7.8%
2 18
 
12.8%
1 50
35.5%

w2_D04
Real number (ℝ)

Missing 

How often do you do physical exercise? 1. Every few weeks or less 2. Once or twice a week 3. Three to five days a week 4. Six to seven days a week

Distinct4
Distinct (%)4.5%
Missing53
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean2.568181818
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:13.975258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9443778533
Coefficient of variation (CV)0.36772235
Kurtosis-0.8516008644
Mean2.568181818
Median Absolute Deviation (MAD)1
Skewness-0.1172850818
Sum226
Variance0.8918495298
MonotonicityNot monotonic
2025-02-26T17:45:14.012548image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 33
23.4%
2 27
19.1%
4 15
 
10.6%
1 13
 
9.2%
(Missing) 53
37.6%
ValueCountFrequency (%)
1 13
 
9.2%
2 27
19.1%
3 33
23.4%
4 15
10.6%
ValueCountFrequency (%)
4 15
10.6%
3 33
23.4%
2 27
19.1%
1 13
 
9.2%

w2_D05_1
Real number (ℝ)

Missing 

How often do you exercise alone? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct5
Distinct (%)6.0%
Missing57
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean4.154761905
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:14.050102image/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 deviation1.166748624
Coefficient of variation (CV)0.2808220185
Kurtosis0.4501461912
Mean4.154761905
Median Absolute Deviation (MAD)0
Skewness-1.24151229
Sum349
Variance1.361302352
MonotonicityNot monotonic
2025-02-26T17:45:14.090380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 47
33.3%
4 17
 
12.1%
3 9
 
6.4%
2 8
 
5.7%
1 3
 
2.1%
(Missing) 57
40.4%
ValueCountFrequency (%)
1 3
 
2.1%
2 8
 
5.7%
3 9
 
6.4%
4 17
 
12.1%
5 47
33.3%
ValueCountFrequency (%)
5 47
33.3%
4 17
 
12.1%
3 9
 
6.4%
2 8
 
5.7%
1 3
 
2.1%

w2_D05_2
Real number (ℝ)

Missing 

How often do you exercise with Friends, family members? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct5
Distinct (%)6.0%
Missing57
Missing (%)40.4%
Infinite0
Infinite (%)0.0%
Mean2.357142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:14.129343image/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 deviation1.267222151
Coefficient of variation (CV)0.5376093973
Kurtosis-0.6070203552
Mean2.357142857
Median Absolute Deviation (MAD)1
Skewness0.6026605572
Sum198
Variance1.605851979
MonotonicityNot monotonic
2025-02-26T17:45:14.170245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 28
19.9%
3 21
 
14.9%
2 20
 
14.2%
4 8
 
5.7%
5 7
 
5.0%
(Missing) 57
40.4%
ValueCountFrequency (%)
1 28
19.9%
2 20
14.2%
3 21
14.9%
4 8
 
5.7%
5 7
 
5.0%
ValueCountFrequency (%)
5 7
 
5.0%
4 8
 
5.7%
3 21
14.9%
2 20
14.2%
1 28
19.9%

w2_D05_3
Real number (ℝ)

Missing 

How often do you exercise with Trainer, a group or sport team? 1. Never, 2. Seldom, 3. Sometimes, 4. Often, 5. Always

Distinct5
Distinct (%)6.0%
Missing58
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean1.879518072
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:14.209650image/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 deviation1.243496157
Coefficient of variation (CV)0.6616037244
Kurtosis0.6205900605
Mean1.879518072
Median Absolute Deviation (MAD)0
Skewness1.286635902
Sum156
Variance1.546282692
MonotonicityNot monotonic
2025-02-26T17:45:14.249820image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 48
34.0%
3 14
 
9.9%
2 12
 
8.5%
5 6
 
4.3%
4 3
 
2.1%
(Missing) 58
41.1%
ValueCountFrequency (%)
1 48
34.0%
2 12
 
8.5%
3 14
 
9.9%
4 3
 
2.1%
5 6
 
4.3%
ValueCountFrequency (%)
5 6
 
4.3%
4 3
 
2.1%
3 14
 
9.9%
2 12
 
8.5%
1 48
34.0%

w2_D06_1
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Wearable fitness trackers.

Distinct2
Distinct (%)2.2%
Missing51
Missing (%)36.2%
Memory size414.0 B
False
73 
True
17 
(Missing)
51 
ValueCountFrequency (%)
False 73
51.8%
True 17
 
12.1%
(Missing) 51
36.2%
2025-02-26T17:45:14.292254image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_2
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartwatches.

Distinct2
Distinct (%)2.2%
Missing51
Missing (%)36.2%
Memory size414.0 B
False
80 
True
10 
(Missing)
51 
ValueCountFrequency (%)
False 80
56.7%
True 10
 
7.1%
(Missing) 51
36.2%
2025-02-26T17:45:14.329107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_3
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Smartphone fitness apps.

Distinct2
Distinct (%)2.2%
Missing51
Missing (%)36.2%
Memory size414.0 B
False
67 
True
23 
(Missing)
51 
ValueCountFrequency (%)
False 67
47.5%
True 23
 
16.3%
(Missing) 51
36.2%
2025-02-26T17:45:14.427622image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_4
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Headphones.

Distinct2
Distinct (%)2.2%
Missing51
Missing (%)36.2%
Memory size414.0 B
True
47 
False
43 
(Missing)
51 
ValueCountFrequency (%)
True 47
33.3%
False 43
30.5%
(Missing) 51
36.2%
2025-02-26T17:45:14.464861image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_5
Boolean

Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: None.

Distinct2
Distinct (%)2.2%
Missing51
Missing (%)36.2%
Memory size414.0 B
False
56 
True
34 
(Missing)
51 
ValueCountFrequency (%)
False 56
39.7%
True 34
24.1%
(Missing) 51
36.2%
2025-02-26T17:45:14.502792image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_other
Text

Constant  Missing 

Question: When exercising, which of the following devices do you use? (Multiple choice) | Answer: Other, please specify.

Distinct1
Distinct (%)100.0%
Missing140
Missing (%)99.3%
Memory size1.3 KiB
2025-02-26T17:45:14.554598image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters20
Distinct characters14
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 (%)100.0%

Sample

1st rowHand counting method
ValueCountFrequency (%)
hand 1
33.3%
counting 1
33.3%
method 1
33.3%
2025-02-26T17:45:14.652635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 3
15.0%
d 2
10.0%
2
10.0%
o 2
10.0%
t 2
10.0%
H 1
 
5.0%
a 1
 
5.0%
c 1
 
5.0%
u 1
 
5.0%
i 1
 
5.0%
Other values (4) 4
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 3
15.0%
d 2
10.0%
2
10.0%
o 2
10.0%
t 2
10.0%
H 1
 
5.0%
a 1
 
5.0%
c 1
 
5.0%
u 1
 
5.0%
i 1
 
5.0%
Other values (4) 4
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 3
15.0%
d 2
10.0%
2
10.0%
o 2
10.0%
t 2
10.0%
H 1
 
5.0%
a 1
 
5.0%
c 1
 
5.0%
u 1
 
5.0%
i 1
 
5.0%
Other values (4) 4
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 3
15.0%
d 2
10.0%
2
10.0%
o 2
10.0%
t 2
10.0%
H 1
 
5.0%
a 1
 
5.0%
c 1
 
5.0%
u 1
 
5.0%
i 1
 
5.0%
Other values (4) 4
20.0%

w2_D07_1
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Look for fitness information on the Internet.

Distinct4
Distinct (%)4.7%
Missing56
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean3.105882353
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:14.693584image/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 deviation1.345393635
Coefficient of variation (CV)0.433175981
Kurtosis-0.8560336047
Mean3.105882353
Median Absolute Deviation (MAD)1
Skewness-0.3173879054
Sum264
Variance1.810084034
MonotonicityNot monotonic
2025-02-26T17:45:14.735010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 34
24.1%
1 19
 
13.5%
4 17
 
12.1%
5 15
 
10.6%
(Missing) 56
39.7%
ValueCountFrequency (%)
1 19
13.5%
3 34
24.1%
4 17
12.1%
5 15
10.6%
ValueCountFrequency (%)
5 15
10.6%
4 17
12.1%
3 34
24.1%
1 19
13.5%

w2_D07_2
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Read specialised magazines about sports and physical activities.

Distinct4
Distinct (%)4.7%
Missing55
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean2.023255814
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:14.774684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.337044539
Coefficient of variation (CV)0.6608381053
Kurtosis-1.047483246
Mean2.023255814
Median Absolute Deviation (MAD)0
Skewness0.7427672893
Sum174
Variance1.787688098
MonotonicityNot monotonic
2025-02-26T17:45:14.814459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 52
36.9%
3 17
 
12.1%
4 14
 
9.9%
5 3
 
2.1%
(Missing) 55
39.0%
ValueCountFrequency (%)
1 52
36.9%
3 17
 
12.1%
4 14
 
9.9%
5 3
 
2.1%
ValueCountFrequency (%)
5 3
 
2.1%
4 14
 
9.9%
3 17
 
12.1%
1 52
36.9%

w2_D07_3
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Ask fitness trainers for advice on how to improve your workout routines.

Distinct4
Distinct (%)4.7%
Missing55
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean1.744186047
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:14.854316image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.266640267
Coefficient of variation (CV)0.7262070862
Kurtosis0.3514681352
Mean1.744186047
Median Absolute Deviation (MAD)0
Skewness1.351949933
Sum150
Variance1.604377565
MonotonicityNot monotonic
2025-02-26T17:45:14.894613image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 62
44.0%
3 12
 
8.5%
4 8
 
5.7%
5 4
 
2.8%
(Missing) 55
39.0%
ValueCountFrequency (%)
1 62
44.0%
3 12
 
8.5%
4 8
 
5.7%
5 4
 
2.8%
ValueCountFrequency (%)
5 4
 
2.8%
4 8
 
5.7%
3 12
 
8.5%
1 62
44.0%

w2_D07_4
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Talk with sporty people about training routines and sports equipment.

Distinct4
Distinct (%)4.7%
Missing56
Missing (%)39.7%
Infinite0
Infinite (%)0.0%
Mean2.152941176
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:14.934702image/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 deviation1.418465656
Coefficient of variation (CV)0.6588501682
Kurtosis-0.9895520646
Mean2.152941176
Median Absolute Deviation (MAD)0
Skewness0.6969319904
Sum183
Variance2.012044818
MonotonicityNot monotonic
2025-02-26T17:45:14.975290image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 48
34.0%
3 20
 
14.2%
4 10
 
7.1%
5 7
 
5.0%
(Missing) 56
39.7%
ValueCountFrequency (%)
1 48
34.0%
3 20
14.2%
4 10
 
7.1%
5 7
 
5.0%
ValueCountFrequency (%)
5 7
 
5.0%
4 10
 
7.1%
3 20
14.2%
1 48
34.0%

w2_D07_5
Real number (ℝ)

Missing 

Question: Read the following statements and indicate how often you do the following. | Answer: Use Apps for fitness information.

Distinct4
Distinct (%)4.7%
Missing55
Missing (%)39.0%
Infinite0
Infinite (%)0.0%
Mean2.930232558
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.014727image/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 deviation1.532323861
Coefficient of variation (CV)0.5229359209
Kurtosis-1.454570067
Mean2.930232558
Median Absolute Deviation (MAD)2
Skewness-0.141266715
Sum252
Variance2.348016416
MonotonicityNot monotonic
2025-02-26T17:45:15.056710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 29
20.6%
3 21
 
14.9%
4 20
 
14.2%
5 16
 
11.3%
(Missing) 55
39.0%
ValueCountFrequency (%)
1 29
20.6%
3 21
14.9%
4 20
14.2%
5 16
11.3%
ValueCountFrequency (%)
5 16
11.3%
4 20
14.2%
3 21
14.9%
1 29
20.6%

w2_E01_1
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out at a local club, group, organization or place of worship. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.8%
Missing30
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.495495495
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.097285image/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 deviation0.5022472023
Coefficient of variation (CV)0.3358399967
Kurtosis-2.036697248
Mean1.495495495
Median Absolute Deviation (MAD)0
Skewness0.01826652669
Sum166
Variance0.2522522523
MonotonicityNot monotonic
2025-02-26T17:45:15.135181image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 56
39.7%
2 55
39.0%
(Missing) 30
21.3%
ValueCountFrequency (%)
1 56
39.7%
2 55
39.0%
ValueCountFrequency (%)
2 55
39.0%
1 56
39.7%

w2_E01_2
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Helped out other organizations. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.8%
Missing30
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.54954955
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.171568image/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 deviation0.4997952079
Coefficient of variation (CV)0.3225422562
Kurtosis-1.995518123
Mean1.54954955
Median Absolute Deviation (MAD)0
Skewness-0.2019175646
Sum172
Variance0.2497952498
MonotonicityNot monotonic
2025-02-26T17:45:15.210008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 61
43.3%
1 50
35.5%
(Missing) 30
21.3%
ValueCountFrequency (%)
1 50
35.5%
2 61
43.3%
ValueCountFrequency (%)
2 61
43.3%
1 50
35.5%

w2_E01_3
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Raised money for charity (including taking part in a sponsored event). | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.8%
Missing31
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean1.572727273
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.246708image/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 deviation0.4969464725
Coefficient of variation (CV)0.3159775258
Kurtosis-1.946863395
Mean1.572727273
Median Absolute Deviation (MAD)0
Skewness-0.2981169127
Sum173
Variance0.2469557965
MonotonicityNot monotonic
2025-02-26T17:45:15.284601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 63
44.7%
1 47
33.3%
(Missing) 31
22.0%
ValueCountFrequency (%)
1 47
33.3%
2 63
44.7%
ValueCountFrequency (%)
2 63
44.7%
1 47
33.3%

w2_E01_4
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Contacted someone (e.g., council, media, school) about something affecting your local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.8%
Missing30
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.720720721
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.322123image/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 deviation0.4506797123
Coefficient of variation (CV)0.2619133407
Kurtosis-1.023823616
Mean1.720720721
Median Absolute Deviation (MAD)0
Skewness-0.9974739756
Sum191
Variance0.2031122031
MonotonicityNot monotonic
2025-02-26T17:45:15.361562image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 80
56.7%
1 31
 
22.0%
(Missing) 30
 
21.3%
ValueCountFrequency (%)
1 31
 
22.0%
2 80
56.7%
ValueCountFrequency (%)
2 80
56.7%
1 31
 
22.0%

w2_E01_5
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Organized a petition or event to support a local or national issue. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.8%
Missing31
Missing (%)22.0%
Infinite0
Infinite (%)0.0%
Mean1.8
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.397793image/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 deviation0.4018306732
Coefficient of variation (CV)0.2232392629
Kurtosis0.3183411215
Mean1.8
Median Absolute Deviation (MAD)0
Skewness-1.520817478
Sum198
Variance0.1614678899
MonotonicityNot monotonic
2025-02-26T17:45:15.435445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 88
62.4%
1 22
 
15.6%
(Missing) 31
 
22.0%
ValueCountFrequency (%)
1 22
 
15.6%
2 88
62.4%
ValueCountFrequency (%)
2 88
62.4%
1 22
 
15.6%

w2_E01_6
Real number (ℝ)

Missing 

Question: Have you given your time to help in any of the following ways outside of school or college hours in the last three months? Statement: Done something to help other people, or to improve a local area. | Answer: 1. Yes, 2. No.

Distinct2
Distinct (%)1.8%
Missing30
Missing (%)21.3%
Infinite0
Infinite (%)0.0%
Mean1.531531532
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.471426image/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 deviation0.5012678438
Coefficient of variation (CV)0.3272984157
Kurtosis-2.020322237
Mean1.531531532
Median Absolute Deviation (MAD)0
Skewness-0.1281155061
Sum170
Variance0.2512694513
MonotonicityNot monotonic
2025-02-26T17:45:15.511430image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 59
41.8%
1 52
36.9%
(Missing) 30
21.3%
ValueCountFrequency (%)
1 52
36.9%
2 59
41.8%
ValueCountFrequency (%)
2 59
41.8%
1 52
36.9%

w2_E02_1
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different school or college to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)3.0%
Missing40
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean3.158415842
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.547806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.595527888
Coefficient of variation (CV)0.1885527169
Kurtosis-0.2731212962
Mean3.158415842
Median Absolute Deviation (MAD)0
Skewness-0.06068615455
Sum319
Variance0.3546534653
MonotonicityNot monotonic
2025-02-26T17:45:15.588364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 63
44.7%
4 27
19.1%
2 11
 
7.8%
(Missing) 40
28.4%
ValueCountFrequency (%)
2 11
 
7.8%
3 63
44.7%
4 27
19.1%
ValueCountFrequency (%)
4 27
19.1%
3 63
44.7%
2 11
 
7.8%

w2_E02_2
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different ethnicity to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)3.1%
Missing43
Missing (%)30.5%
Infinite0
Infinite (%)0.0%
Mean3.102040816
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.628813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6005117391
Coefficient of variation (CV)0.1935860212
Kurtosis-0.2162381138
Mean3.102040816
Median Absolute Deviation (MAD)0
Skewness-0.03946944819
Sum304
Variance0.3606143488
MonotonicityNot monotonic
2025-02-26T17:45:15.669420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 62
44.0%
4 23
 
16.3%
2 13
 
9.2%
(Missing) 43
30.5%
ValueCountFrequency (%)
2 13
 
9.2%
3 62
44.0%
4 23
 
16.3%
ValueCountFrequency (%)
4 23
 
16.3%
3 62
44.0%
2 13
 
9.2%

w2_E02_3
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a different religious background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)2.9%
Missing39
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean3.156862745
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.709908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6711169652
Coefficient of variation (CV)0.2125898461
Kurtosis-0.7675830775
Mean3.156862745
Median Absolute Deviation (MAD)0
Skewness-0.1938096819
Sum322
Variance0.450397981
MonotonicityNot monotonic
2025-02-26T17:45:15.749922image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 54
38.3%
4 32
22.7%
2 16
 
11.3%
(Missing) 39
27.7%
ValueCountFrequency (%)
2 16
 
11.3%
3 54
38.3%
4 32
22.7%
ValueCountFrequency (%)
4 32
22.7%
3 54
38.3%
2 16
 
11.3%

w2_E02_4
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are from a richer or poorer background to you? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)2.9%
Missing36
Missing (%)25.5%
Infinite0
Infinite (%)0.0%
Mean3.257142857
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.789073image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6654751256
Coefficient of variation (CV)0.2043125386
Kurtosis-0.7575691845
Mean3.257142857
Median Absolute Deviation (MAD)1
Skewness-0.3430810913
Sum342
Variance0.4428571429
MonotonicityNot monotonic
2025-02-26T17:45:15.830294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 52
36.9%
4 40
28.4%
2 13
 
9.2%
(Missing) 36
25.5%
ValueCountFrequency (%)
2 13
 
9.2%
3 52
36.9%
4 40
28.4%
ValueCountFrequency (%)
4 40
28.4%
3 52
36.9%
2 13
 
9.2%

w2_E02_5
Real number (ℝ)

Missing 

Question: Now, think about people you know who you would feel happy getting in touch with to ask for advice or a favour. How many are of a different sexual orientation than yours? | Answer: 1. None, 2. Almost none, 3. Someone, 4. Many.

Distinct3
Distinct (%)3.4%
Missing54
Missing (%)38.3%
Infinite0
Infinite (%)0.0%
Mean3.114942529
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.869688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.738088155
Coefficient of variation (CV)0.2369508099
Kurtosis-1.126208949
Mean3.114942529
Median Absolute Deviation (MAD)1
Skewness-0.1861034259
Sum271
Variance0.5447741246
MonotonicityNot monotonic
2025-02-26T17:45:15.909862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 39
27.7%
4 29
20.6%
2 19
 
13.5%
(Missing) 54
38.3%
ValueCountFrequency (%)
2 19
13.5%
3 39
27.7%
4 29
20.6%
ValueCountFrequency (%)
4 29
20.6%
3 39
27.7%
2 19
13.5%

w2_F02_1
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: systematic ... casual

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_2
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: talkative ... quiet

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_3
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: open-ended ... planned

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_4
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: questioning ... accommodating

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_5
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: logic ... empathy

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_6
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sociable ... reversed

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_7
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: impartial ... merciful

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_8
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: practical ... conceptual

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_9
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: pressured ... unpressured

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_10
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: sceptical ... tolerant

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_11
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: hands-on ... theoretical

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_12
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: contained ... expressive

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_13
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: reading ... listening

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_14
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: concrete ... abstract

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_15
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more : methodical ... improviser

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_16
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: routine ... variety

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_17
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: truthful ... tactful

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_18
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: fact-finding ... speculate

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_19
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: individuals ... groups

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F02_20
Unsupported

Missing  Rejected  Unsupported 

Chose the left or the right circle that better describe yourself. Select the middle circle if both apply equally. You are more: traditional ... novel

Missing141
Missing (%)100.0%
Memory size1.4 KiB

w2_F01_1
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Thinking up new ideas and being creative is important to them. They like to do things in their own original way

Distinct7
Distinct (%)7.2%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean2.257731959
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:15.948654image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4.2
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.494980146
Coefficient of variation (CV)0.6621601558
Kurtosis4.485730852
Mean2.257731959
Median Absolute Deviation (MAD)1
Skewness1.876350247
Sum219
Variance2.234965636
MonotonicityNot monotonic
2025-02-26T17:45:15.989648image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 37
26.2%
2 26
18.4%
3 21
14.9%
4 8
 
5.7%
7 2
 
1.4%
8 2
 
1.4%
5 1
 
0.7%
(Missing) 44
31.2%
ValueCountFrequency (%)
1 37
26.2%
2 26
18.4%
3 21
14.9%
4 8
 
5.7%
5 1
 
0.7%
ValueCountFrequency (%)
8 2
 
1.4%
7 2
 
1.4%
5 1
 
0.7%
4 8
 
5.7%
3 21
14.9%

w2_F01_2
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be rich. They want to have a lot of money and expensive things

Distinct8
Distinct (%)8.2%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean4.494845361
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.028602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.58195364
Coefficient of variation (CV)0.3519484016
Kurtosis-0.220112486
Mean4.494845361
Median Absolute Deviation (MAD)1
Skewness-0.216025357
Sum436
Variance2.50257732
MonotonicityNot monotonic
2025-02-26T17:45:16.067206image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 26
18.4%
4 23
16.3%
6 16
 
11.3%
3 11
 
7.8%
2 8
 
5.7%
7 7
 
5.0%
1 4
 
2.8%
8 2
 
1.4%
(Missing) 44
31.2%
ValueCountFrequency (%)
1 4
 
2.8%
2 8
 
5.7%
3 11
7.8%
4 23
16.3%
5 26
18.4%
ValueCountFrequency (%)
8 2
 
1.4%
7 7
 
5.0%
6 16
11.3%
5 26
18.4%
4 23
16.3%

w2_F01_3
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important that every person in the world be treated equally. They want justice for everybody, even for people they don't know.

Distinct7
Distinct (%)7.2%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean2.020618557
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.105297image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.600646884
Coefficient of variation (CV)0.7921568762
Kurtosis4.604633693
Mean2.020618557
Median Absolute Deviation (MAD)0
Skewness2.097603959
Sum196
Variance2.562070447
MonotonicityNot monotonic
2025-02-26T17:45:16.143437image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 53
37.6%
2 21
 
14.9%
3 9
 
6.4%
4 6
 
4.3%
5 4
 
2.8%
8 3
 
2.1%
6 1
 
0.7%
(Missing) 44
31.2%
ValueCountFrequency (%)
1 53
37.6%
2 21
 
14.9%
3 9
 
6.4%
4 6
 
4.3%
5 4
 
2.8%
ValueCountFrequency (%)
8 3
 
2.1%
6 1
 
0.7%
5 4
2.8%
4 6
4.3%
3 9
6.4%

w2_F01_4
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to show their abilities. They want people to admire what he does

Distinct8
Distinct (%)8.2%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean3.237113402
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.181660image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.858388616
Coefficient of variation (CV)0.574088203
Kurtosis-0.347869979
Mean3.237113402
Median Absolute Deviation (MAD)1
Skewness0.679215666
Sum314
Variance3.453608247
MonotonicityNot monotonic
2025-02-26T17:45:16.220078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 26
18.4%
1 18
12.8%
4 16
 
11.3%
3 13
 
9.2%
5 12
 
8.5%
7 5
 
3.5%
6 5
 
3.5%
8 2
 
1.4%
(Missing) 44
31.2%
ValueCountFrequency (%)
1 18
12.8%
2 26
18.4%
3 13
9.2%
4 16
11.3%
5 12
8.5%
ValueCountFrequency (%)
8 2
 
1.4%
7 5
 
3.5%
6 5
 
3.5%
5 12
8.5%
4 16
11.3%

w2_F01_5
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to live in secure surroundings. They avoid anything that might endanger their safety

Distinct8
Distinct (%)8.2%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean2.783505155
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.257519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.883186595
Coefficient of variation (CV)0.6765522213
Kurtosis1.018077686
Mean2.783505155
Median Absolute Deviation (MAD)1
Skewness1.304474762
Sum270
Variance3.546391753
MonotonicityNot monotonic
2025-02-26T17:45:16.297930image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 35
24.8%
1 25
17.7%
4 11
 
7.8%
3 10
 
7.1%
5 6
 
4.3%
8 4
 
2.8%
7 3
 
2.1%
6 3
 
2.1%
(Missing) 44
31.2%
ValueCountFrequency (%)
1 25
17.7%
2 35
24.8%
3 10
 
7.1%
4 11
 
7.8%
5 6
 
4.3%
ValueCountFrequency (%)
8 4
 
2.8%
7 3
 
2.1%
6 3
 
2.1%
5 6
4.3%
4 11
7.8%

w2_F01_6
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to do lots of different things in life. They always look for new things to try

Distinct7
Distinct (%)7.2%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean2.268041237
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.335955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.551313045
Coefficient of variation (CV)0.6839880246
Kurtosis2.684583298
Mean2.268041237
Median Absolute Deviation (MAD)1
Skewness1.590701259
Sum220
Variance2.406572165
MonotonicityNot monotonic
2025-02-26T17:45:16.374266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 39
27.7%
2 29
20.6%
4 10
 
7.1%
3 10
 
7.1%
5 5
 
3.5%
6 2
 
1.4%
8 2
 
1.4%
(Missing) 44
31.2%
ValueCountFrequency (%)
1 39
27.7%
2 29
20.6%
3 10
 
7.1%
4 10
 
7.1%
5 5
 
3.5%
ValueCountFrequency (%)
8 2
 
1.4%
6 2
 
1.4%
5 5
3.5%
4 10
7.1%
3 10
7.1%

w2_F01_7
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe that people should do what they're told. They think people should follow rules at all times, even when no-one is watching

Distinct8
Distinct (%)8.2%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean4.010309278
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.411304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7.2
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.944516035
Coefficient of variation (CV)0.4848793199
Kurtosis-0.7349985369
Mean4.010309278
Median Absolute Deviation (MAD)2
Skewness0.2282317799
Sum389
Variance3.781142612
MonotonicityNot monotonic
2025-02-26T17:45:16.449871image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 21
14.9%
2 17
 
12.1%
5 16
 
11.3%
3 11
 
7.8%
6 11
 
7.8%
1 10
 
7.1%
7 6
 
4.3%
8 5
 
3.5%
(Missing) 44
31.2%
ValueCountFrequency (%)
1 10
7.1%
2 17
12.1%
3 11
7.8%
4 21
14.9%
5 16
11.3%
ValueCountFrequency (%)
8 5
 
3.5%
7 6
 
4.3%
6 11
7.8%
5 16
11.3%
4 21
14.9%

w2_F01_8
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to listen to people who are different from them. Even when he disagrees with them, they still want to understand them

Distinct7
Distinct (%)7.2%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean2.412371134
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.487050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.2
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.572899243
Coefficient of variation (CV)0.6520137886
Kurtosis2.107241749
Mean2.412371134
Median Absolute Deviation (MAD)1
Skewness1.419570808
Sum234
Variance2.474012027
MonotonicityNot monotonic
2025-02-26T17:45:16.526777image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 34
24.1%
2 28
19.9%
3 15
 
10.6%
4 10
 
7.1%
5 5
 
3.5%
6 3
 
2.1%
8 2
 
1.4%
(Missing) 44
31.2%
ValueCountFrequency (%)
1 34
24.1%
2 28
19.9%
3 15
10.6%
4 10
 
7.1%
5 5
 
3.5%
ValueCountFrequency (%)
8 2
 
1.4%
6 3
 
2.1%
5 5
 
3.5%
4 10
7.1%
3 15
10.6%

w2_F01_9
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it's important not to ask for more than what you have. They believe that people should be satisfied with what they have

Distinct8
Distinct (%)8.2%
Missing44
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean3.072164948
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.566490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.792620421
Coefficient of variation (CV)0.5835039624
Kurtosis0.1029101687
Mean3.072164948
Median Absolute Deviation (MAD)1
Skewness0.8201002952
Sum298
Variance3.213487973
MonotonicityNot monotonic
2025-02-26T17:45:16.604551image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 23
16.3%
1 21
14.9%
3 18
12.8%
4 16
 
11.3%
5 9
 
6.4%
6 4
 
2.8%
7 4
 
2.8%
8 2
 
1.4%
(Missing) 44
31.2%
ValueCountFrequency (%)
1 21
14.9%
2 23
16.3%
3 18
12.8%
4 16
11.3%
5 9
 
6.4%
ValueCountFrequency (%)
8 2
 
1.4%
7 4
 
2.8%
6 4
 
2.8%
5 9
6.4%
4 16
11.3%

w2_F01_10
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They seek every chance he can to have fun. It is important to them to do things that give them pleasure

Distinct7
Distinct (%)7.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.520833333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.642034image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.479538809
Coefficient of variation (CV)0.5869244863
Kurtosis2.627524531
Mean2.520833333
Median Absolute Deviation (MAD)1
Skewness1.392433465
Sum242
Variance2.189035088
MonotonicityNot monotonic
2025-02-26T17:45:16.743210image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 30
21.3%
1 26
18.4%
3 20
14.2%
4 12
 
8.5%
5 4
 
2.8%
6 2
 
1.4%
8 2
 
1.4%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 26
18.4%
2 30
21.3%
3 20
14.2%
4 12
 
8.5%
5 4
 
2.8%
ValueCountFrequency (%)
8 2
 
1.4%
6 2
 
1.4%
5 4
 
2.8%
4 12
8.5%
3 20
14.2%

w2_F01_11
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to make their own decisions about what he does. They like to be free to plan and to choose their activities for themself

Distinct7
Distinct (%)7.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.270833333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.780864image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.25
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.417775624
Coefficient of variation (CV)0.6243415591
Kurtosis2.894112454
Mean2.270833333
Median Absolute Deviation (MAD)1
Skewness1.610509635
Sum218
Variance2.010087719
MonotonicityNot monotonic
2025-02-26T17:45:16.820512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 35
24.8%
1 32
22.7%
3 15
 
10.6%
4 6
 
4.3%
6 4
 
2.8%
5 3
 
2.1%
8 1
 
0.7%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 32
22.7%
2 35
24.8%
3 15
10.6%
4 6
 
4.3%
5 3
 
2.1%
ValueCountFrequency (%)
8 1
 
0.7%
6 4
 
2.8%
5 3
 
2.1%
4 6
 
4.3%
3 15
10.6%

w2_F01_12
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It's very important to them to help the people around them. They want to care for other people

Distinct7
Distinct (%)7.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.1875
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.858342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.724818831
Coefficient of variation (CV)0.7884886085
Kurtosis3.775657761
Mean2.1875
Median Absolute Deviation (MAD)1
Skewness2.003662773
Sum210
Variance2.975
MonotonicityNot monotonic
2025-02-26T17:45:16.896396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 44
31.2%
2 29
20.6%
3 9
 
6.4%
5 5
 
3.5%
8 4
 
2.8%
4 3
 
2.1%
6 2
 
1.4%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 44
31.2%
2 29
20.6%
3 9
 
6.4%
4 3
 
2.1%
5 5
 
3.5%
ValueCountFrequency (%)
8 4
2.8%
6 2
 
1.4%
5 5
3.5%
4 3
 
2.1%
3 9
6.4%

w2_F01_13
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Being very successful is important to them. They like to impress other people

Distinct7
Distinct (%)7.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3.104166667
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:16.931799image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.651023075
Coefficient of variation (CV)0.5318732053
Kurtosis-0.3752517711
Mean3.104166667
Median Absolute Deviation (MAD)1
Skewness0.5469319138
Sum298
Variance2.725877193
MonotonicityNot monotonic
2025-02-26T17:45:16.967865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 20
14.2%
3 20
14.2%
4 19
13.5%
1 19
13.5%
5 9
 
6.4%
6 5
 
3.5%
7 4
 
2.8%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 19
13.5%
2 20
14.2%
3 20
14.2%
4 19
13.5%
5 9
6.4%
ValueCountFrequency (%)
7 4
 
2.8%
6 5
 
3.5%
5 9
6.4%
4 19
13.5%
3 20
14.2%

w2_F01_14
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is very important to them that their country is safe. They think the state must be on watch against threats from within and without

Distinct7
Distinct (%)7.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.583333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.004484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.763170987
Coefficient of variation (CV)0.6825178015
Kurtosis0.4016266744
Mean2.583333333
Median Absolute Deviation (MAD)1
Skewness1.047533918
Sum248
Variance3.10877193
MonotonicityNot monotonic
2025-02-26T17:45:17.043707image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 37
26.2%
2 20
14.2%
3 13
 
9.2%
5 10
 
7.1%
4 9
 
6.4%
6 5
 
3.5%
8 2
 
1.4%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 37
26.2%
2 20
14.2%
3 13
 
9.2%
4 9
 
6.4%
5 10
 
7.1%
ValueCountFrequency (%)
8 2
 
1.4%
6 5
 
3.5%
5 10
7.1%
4 9
6.4%
3 13
9.2%

w2_F01_15
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like to take risks. They are always looking for adventures

Distinct7
Distinct (%)7.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.9375
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.082448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.690920024
Coefficient of variation (CV)0.5756323485
Kurtosis0.9015019777
Mean2.9375
Median Absolute Deviation (MAD)1
Skewness1.047196679
Sum282
Variance2.859210526
MonotonicityNot monotonic
2025-02-26T17:45:17.120513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 28
19.9%
3 19
13.5%
1 19
13.5%
4 15
 
10.6%
6 6
 
4.3%
5 6
 
4.3%
8 3
 
2.1%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 19
13.5%
2 28
19.9%
3 19
13.5%
4 15
10.6%
5 6
 
4.3%
ValueCountFrequency (%)
8 3
 
2.1%
6 6
 
4.3%
5 6
 
4.3%
4 15
10.6%
3 19
13.5%

w2_F01_16
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them always to behave properly. They want to avoid doing to anything people would say is wrong

Distinct7
Distinct (%)7.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.989583333
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.157041image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.75
median2
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.838161505
Coefficient of variation (CV)0.6148554164
Kurtosis-0.7864660638
Mean2.989583333
Median Absolute Deviation (MAD)1
Skewness0.6595217488
Sum287
Variance3.378837719
MonotonicityNot monotonic
2025-02-26T17:45:17.192860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 28
19.9%
1 24
17.0%
4 12
 
8.5%
5 10
 
7.1%
6 9
 
6.4%
3 9
 
6.4%
7 4
 
2.8%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 24
17.0%
2 28
19.9%
3 9
 
6.4%
4 12
8.5%
5 10
 
7.1%
ValueCountFrequency (%)
7 4
 
2.8%
6 9
6.4%
5 10
7.1%
4 12
8.5%
3 9
6.4%

w2_F01_17
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be in charge and tell others what to do. They want people to do what he says

Distinct8
Distinct (%)8.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3.5625
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.229126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.74604817
Coefficient of variation (CV)0.4901187844
Kurtosis-0.6304739753
Mean3.5625
Median Absolute Deviation (MAD)1
Skewness0.2871208975
Sum342
Variance3.048684211
MonotonicityNot monotonic
2025-02-26T17:45:17.269670image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 19
13.5%
2 18
 
12.8%
5 18
 
12.8%
3 16
 
11.3%
1 13
 
9.2%
6 6
 
4.3%
7 5
 
3.5%
8 1
 
0.7%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 13
9.2%
2 18
12.8%
3 16
11.3%
4 19
13.5%
5 18
12.8%
ValueCountFrequency (%)
8 1
 
0.7%
7 5
 
3.5%
6 6
 
4.3%
5 18
12.8%
4 19
13.5%

w2_F01_18
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be loyal to their friends. They want to devote themself to people close to them

Distinct8
Distinct (%)8.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.166666667
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.308150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.25
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.613539207
Coefficient of variation (CV)0.7447104031
Kurtosis4.46059752
Mean2.166666667
Median Absolute Deviation (MAD)1
Skewness2.057203395
Sum208
Variance2.603508772
MonotonicityNot monotonic
2025-02-26T17:45:17.346663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 42
29.8%
2 29
20.6%
3 12
 
8.5%
4 5
 
3.5%
5 3
 
2.1%
8 3
 
2.1%
7 1
 
0.7%
6 1
 
0.7%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 42
29.8%
2 29
20.6%
3 12
 
8.5%
4 5
 
3.5%
5 3
 
2.1%
ValueCountFrequency (%)
8 3
2.1%
7 1
 
0.7%
6 1
 
0.7%
5 3
2.1%
4 5
3.5%

w2_F01_19
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They strongly believe that people should care for nature. Looking after the environment is important to them

Distinct8
Distinct (%)8.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.260416667
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.383744image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.45272732
Coefficient of variation (CV)0.6426812108
Kurtosis2.852683735
Mean2.260416667
Median Absolute Deviation (MAD)1
Skewness1.594284266
Sum217
Variance2.110416667
MonotonicityNot monotonic
2025-02-26T17:45:17.423997image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 35
24.8%
2 31
22.0%
3 15
 
10.6%
4 7
 
5.0%
5 4
 
2.8%
6 2
 
1.4%
7 1
 
0.7%
8 1
 
0.7%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 35
24.8%
2 31
22.0%
3 15
10.6%
4 7
 
5.0%
5 4
 
2.8%
ValueCountFrequency (%)
8 1
 
0.7%
7 1
 
0.7%
6 2
 
1.4%
5 4
2.8%
4 7
5.0%

w2_F01_20
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Religious belief is important to them. They try hard to do what their religion requires

Distinct8
Distinct (%)8.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3.4375
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.462013image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6.25
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.845691997
Coefficient of variation (CV)0.5369285809
Kurtosis-0.8379106709
Mean3.4375
Median Absolute Deviation (MAD)1
Skewness0.3679515701
Sum330
Variance3.406578947
MonotonicityNot monotonic
2025-02-26T17:45:17.502826image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 19
13.5%
4 18
 
12.8%
1 17
 
12.1%
3 15
 
10.6%
6 12
 
8.5%
5 10
 
7.1%
7 4
 
2.8%
8 1
 
0.7%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 17
12.1%
2 19
13.5%
3 15
10.6%
4 18
12.8%
5 10
7.1%
ValueCountFrequency (%)
8 1
 
0.7%
7 4
 
2.8%
6 12
8.5%
5 10
7.1%
4 18
12.8%

w2_F01_21
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them that things be organized and clean. They do not want things to be a mess

Distinct7
Distinct (%)7.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.604166667
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.540152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.454424586
Coefficient of variation (CV)0.5584990411
Kurtosis-0.3925602681
Mean2.604166667
Median Absolute Deviation (MAD)1
Skewness0.6589757756
Sum250
Variance2.115350877
MonotonicityNot monotonic
2025-02-26T17:45:17.576135image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 27
19.1%
2 27
19.1%
4 16
 
11.3%
3 14
 
9.9%
5 10
 
7.1%
7 1
 
0.7%
6 1
 
0.7%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 27
19.1%
2 27
19.1%
3 14
9.9%
4 16
11.3%
5 10
 
7.1%
ValueCountFrequency (%)
7 1
 
0.7%
6 1
 
0.7%
5 10
7.1%
4 16
11.3%
3 14
9.9%

w2_F01_22
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be interested in things. They like to be curious and to try to understand all sorts of things

Distinct7
Distinct (%)7.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.612950image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.546926778
Coefficient of variation (CV)0.6629686191
Kurtosis3.533798017
Mean2.333333333
Median Absolute Deviation (MAD)1
Skewness1.774723427
Sum224
Variance2.392982456
MonotonicityNot monotonic
2025-02-26T17:45:17.651914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 35
24.8%
1 32
22.7%
3 12
 
8.5%
4 9
 
6.4%
5 4
 
2.8%
7 2
 
1.4%
8 2
 
1.4%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 32
22.7%
2 35
24.8%
3 12
 
8.5%
4 9
 
6.4%
5 4
 
2.8%
ValueCountFrequency (%)
8 2
 
1.4%
7 2
 
1.4%
5 4
 
2.8%
4 9
6.4%
3 12
8.5%

w2_F01_23
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe all the worlds' people should live in harmony. Promoting peace among all groups in the world is important to them

Distinct8
Distinct (%)8.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean2.40625
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.690607image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6.25
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.768604118
Coefficient of variation (CV)0.7350043088
Kurtosis2.308838773
Mean2.40625
Median Absolute Deviation (MAD)1
Skewness1.668091085
Sum231
Variance3.127960526
MonotonicityNot monotonic
2025-02-26T17:45:17.730138image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 36
25.5%
2 30
21.3%
3 14
 
9.9%
5 5
 
3.5%
6 3
 
2.1%
4 3
 
2.1%
8 3
 
2.1%
7 2
 
1.4%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 36
25.5%
2 30
21.3%
3 14
 
9.9%
4 3
 
2.1%
5 5
 
3.5%
ValueCountFrequency (%)
8 3
2.1%
7 2
 
1.4%
6 3
2.1%
5 5
3.5%
4 3
2.1%

w2_F01_24
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They think it is important to be ambitious. They want to show how capable he is

Distinct8
Distinct (%)8.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.294736842
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.768271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.443058839
Coefficient of variation (CV)0.6288559161
Kurtosis2.496366809
Mean2.294736842
Median Absolute Deviation (MAD)1
Skewness1.441031564
Sum218
Variance2.082418813
MonotonicityNot monotonic
2025-02-26T17:45:17.808658image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 35
24.8%
2 27
19.1%
3 16
 
11.3%
4 10
 
7.1%
5 4
 
2.8%
6 1
 
0.7%
8 1
 
0.7%
7 1
 
0.7%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 35
24.8%
2 27
19.1%
3 16
11.3%
4 10
 
7.1%
5 4
 
2.8%
ValueCountFrequency (%)
8 1
 
0.7%
7 1
 
0.7%
6 1
 
0.7%
5 4
 
2.8%
4 10
7.1%

w2_F01_25
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They believe it is best to do things in traditional ways. It is important to them to follow the customs he has learned

Distinct8
Distinct (%)8.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3.40625
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.846688image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile6.25
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.72033121
Coefficient of variation (CV)0.5050513645
Kurtosis-0.3001468085
Mean3.40625
Median Absolute Deviation (MAD)1
Skewness0.6121223279
Sum327
Variance2.959539474
MonotonicityNot monotonic
2025-02-26T17:45:17.885701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 26
18.4%
3 22
15.6%
5 20
14.2%
1 10
 
7.1%
4 8
 
5.7%
6 5
 
3.5%
7 3
 
2.1%
8 2
 
1.4%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 10
 
7.1%
2 26
18.4%
3 22
15.6%
4 8
 
5.7%
5 20
14.2%
ValueCountFrequency (%)
8 2
 
1.4%
7 3
 
2.1%
6 5
 
3.5%
5 20
14.2%
4 8
 
5.7%

w2_F01_26
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Enjoying life's pleasures is important to them. They like to 'spoil' themself

Distinct8
Distinct (%)8.3%
Missing45
Missing (%)31.9%
Infinite0
Infinite (%)0.0%
Mean3.5625
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.922932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.972508422
Coefficient of variation (CV)0.5536865745
Kurtosis-0.8420727759
Mean3.5625
Median Absolute Deviation (MAD)1
Skewness0.4134644265
Sum342
Variance3.890789474
MonotonicityNot monotonic
2025-02-26T17:45:17.961305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 21
14.9%
1 16
 
11.3%
4 15
 
10.6%
3 13
 
9.2%
6 13
 
9.2%
5 11
 
7.8%
7 4
 
2.8%
8 3
 
2.1%
(Missing) 45
31.9%
ValueCountFrequency (%)
1 16
11.3%
2 21
14.9%
3 13
9.2%
4 15
10.6%
5 11
7.8%
ValueCountFrequency (%)
8 3
 
2.1%
7 4
 
2.8%
6 13
9.2%
5 11
7.8%
4 15
10.6%

w2_F01_27
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to respond to the needs of others. They try to support those he knows

Distinct6
Distinct (%)6.3%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.336842105
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:17.998722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.403722455
Coefficient of variation (CV)0.6006920415
Kurtosis4.128033874
Mean2.336842105
Median Absolute Deviation (MAD)1
Skewness1.733416947
Sum222
Variance1.97043673
MonotonicityNot monotonic
2025-02-26T17:45:18.037306image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 39
27.7%
1 27
19.1%
3 12
 
8.5%
4 10
 
7.1%
5 5
 
3.5%
8 2
 
1.4%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 27
19.1%
2 39
27.7%
3 12
 
8.5%
4 10
 
7.1%
5 5
 
3.5%
ValueCountFrequency (%)
8 2
 
1.4%
5 5
 
3.5%
4 10
 
7.1%
3 12
 
8.5%
2 39
27.7%

w2_F01_28
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be obedient. They believe he should always show respect to their parents and to older people

Distinct8
Distinct (%)8.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.410526316
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.075717image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.3
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.594503437
Coefficient of variation (CV)0.6614752248
Kurtosis2.068217926
Mean2.410526316
Median Absolute Deviation (MAD)1
Skewness1.517483915
Sum229
Variance2.542441209
MonotonicityNot monotonic
2025-02-26T17:45:18.114608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 33
23.4%
1 31
22.0%
3 14
 
9.9%
5 7
 
5.0%
4 5
 
3.5%
7 3
 
2.1%
8 1
 
0.7%
6 1
 
0.7%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 31
22.0%
2 33
23.4%
3 14
9.9%
4 5
 
3.5%
5 7
 
5.0%
ValueCountFrequency (%)
8 1
 
0.7%
7 3
2.1%
6 1
 
0.7%
5 7
5.0%
4 5
3.5%

w2_F01_29
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They want everyone to be treated justly, even people he doesn't know. It is important to them to protect the weak in society

Distinct7
Distinct (%)7.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.578947368
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.152865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.3
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.614949755
Coefficient of variation (CV)0.6262050069
Kurtosis2.301362864
Mean2.578947368
Median Absolute Deviation (MAD)1
Skewness1.379743519
Sum245
Variance2.60806271
MonotonicityNot monotonic
2025-02-26T17:45:18.191420image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 29
20.6%
2 24
17.0%
3 20
14.2%
4 13
 
9.2%
5 4
 
2.8%
8 3
 
2.1%
6 2
 
1.4%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 29
20.6%
2 24
17.0%
3 20
14.2%
4 13
9.2%
5 4
 
2.8%
ValueCountFrequency (%)
8 3
 
2.1%
6 2
 
1.4%
5 4
 
2.8%
4 13
9.2%
3 20
14.2%

w2_F01_30
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They like surprises. It is important to them to have an exciting life

Distinct8
Distinct (%)8.5%
Missing47
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean2.670212766
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.229078image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33.75
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.774298576
Coefficient of variation (CV)0.6644783513
Kurtosis0.5255698439
Mean2.670212766
Median Absolute Deviation (MAD)1
Skewness1.105450161
Sum251
Variance3.148135438
MonotonicityNot monotonic
2025-02-26T17:45:18.268829image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 30
21.3%
2 26
18.4%
3 14
 
9.9%
5 10
 
7.1%
4 6
 
4.3%
6 5
 
3.5%
8 2
 
1.4%
7 1
 
0.7%
(Missing) 47
33.3%
ValueCountFrequency (%)
1 30
21.3%
2 26
18.4%
3 14
9.9%
4 6
 
4.3%
5 10
 
7.1%
ValueCountFrequency (%)
8 2
 
1.4%
7 1
 
0.7%
6 5
3.5%
5 10
7.1%
4 6
4.3%

w2_F01_31
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They try hard to avoid getting sick. Staying healthy is very important to them

Distinct8
Distinct (%)8.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.6
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.306571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.620349319
Coefficient of variation (CV)0.6232112765
Kurtosis1.625927021
Mean2.6
Median Absolute Deviation (MAD)1
Skewness1.272698234
Sum247
Variance2.625531915
MonotonicityNot monotonic
2025-02-26T17:45:18.345568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 28
19.9%
2 26
18.4%
3 19
13.5%
4 11
 
7.8%
5 5
 
3.5%
6 3
 
2.1%
8 2
 
1.4%
7 1
 
0.7%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 28
19.9%
2 26
18.4%
3 19
13.5%
4 11
 
7.8%
5 5
 
3.5%
ValueCountFrequency (%)
8 2
 
1.4%
7 1
 
0.7%
6 3
 
2.1%
5 5
3.5%
4 11
7.8%

w2_F01_32
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Getting ahead in life is important to them. They strive to do better than others

Distinct8
Distinct (%)8.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.642105263
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.383016image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.706781153
Coefficient of variation (CV)0.6459928666
Kurtosis0.8013238904
Mean2.642105263
Median Absolute Deviation (MAD)1
Skewness1.063017471
Sum251
Variance2.913101904
MonotonicityNot monotonic
2025-02-26T17:45:18.422655image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 33
23.4%
3 19
13.5%
2 18
 
12.8%
4 11
 
7.8%
5 8
 
5.7%
6 3
 
2.1%
8 2
 
1.4%
7 1
 
0.7%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 33
23.4%
2 18
12.8%
3 19
13.5%
4 11
 
7.8%
5 8
 
5.7%
ValueCountFrequency (%)
8 2
 
1.4%
7 1
 
0.7%
6 3
 
2.1%
5 8
5.7%
4 11
7.8%

w2_F01_33
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Forgiving people who might have wronged them is important to them. They try to see what is good in them and not to hold a grudge

Distinct8
Distinct (%)8.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.631578947
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.460855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.3
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.631163477
Coefficient of variation (CV)0.6198421213
Kurtosis1.375951288
Mean2.631578947
Median Absolute Deviation (MAD)1
Skewness1.20233907
Sum250
Variance2.660694289
MonotonicityNot monotonic
2025-02-26T17:45:18.499736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 28
19.9%
2 24
17.0%
3 22
15.6%
5 9
 
6.4%
4 7
 
5.0%
6 2
 
1.4%
8 2
 
1.4%
7 1
 
0.7%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 28
19.9%
2 24
17.0%
3 22
15.6%
4 7
 
5.0%
5 9
 
6.4%
ValueCountFrequency (%)
8 2
 
1.4%
7 1
 
0.7%
6 2
 
1.4%
5 9
6.4%
4 7
5.0%

w2_F01_34
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be independent. They like to rely on themself

Distinct8
Distinct (%)8.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.178947368
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.538813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5.3
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.508690762
Coefficient of variation (CV)0.6923943112
Kurtosis2.76674122
Mean2.178947368
Median Absolute Deviation (MAD)1
Skewness1.663269111
Sum207
Variance2.276147816
MonotonicityNot monotonic
2025-02-26T17:45:18.576758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 41
29.1%
2 27
19.1%
3 12
 
8.5%
4 7
 
5.0%
6 3
 
2.1%
5 3
 
2.1%
7 1
 
0.7%
8 1
 
0.7%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 41
29.1%
2 27
19.1%
3 12
 
8.5%
4 7
 
5.0%
5 3
 
2.1%
ValueCountFrequency (%)
8 1
 
0.7%
7 1
 
0.7%
6 3
2.1%
5 3
2.1%
4 7
5.0%

w2_F01_35
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: Having a stable government is important to them. They are concerned that the social order be protected

Distinct7
Distinct (%)7.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.726315789
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.677080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.836057903
Coefficient of variation (CV)0.6734575319
Kurtosis1.424360669
Mean2.726315789
Median Absolute Deviation (MAD)1
Skewness1.320518044
Sum259
Variance3.371108623
MonotonicityNot monotonic
2025-02-26T17:45:18.715700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 29
20.6%
2 25
17.7%
4 15
 
10.6%
3 14
 
9.9%
5 5
 
3.5%
8 4
 
2.8%
7 3
 
2.1%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 29
20.6%
2 25
17.7%
3 14
9.9%
4 15
10.6%
5 5
 
3.5%
ValueCountFrequency (%)
8 4
 
2.8%
7 3
 
2.1%
5 5
 
3.5%
4 15
10.6%
3 14
9.9%

w2_F01_36
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be polite to other people all the time. They try never to disturb or irritate other expectations

Distinct7
Distinct (%)7.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.389473684
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.753120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.423919798
Coefficient of variation (CV)0.595913572
Kurtosis2.199915096
Mean2.389473684
Median Absolute Deviation (MAD)1
Skewness1.402859332
Sum227
Variance2.027547592
MonotonicityNot monotonic
2025-02-26T17:45:18.792298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 33
23.4%
1 28
19.9%
3 19
13.5%
5 6
 
4.3%
4 5
 
3.5%
6 3
 
2.1%
8 1
 
0.7%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 28
19.9%
2 33
23.4%
3 19
13.5%
4 5
 
3.5%
5 6
 
4.3%
ValueCountFrequency (%)
8 1
 
0.7%
6 3
 
2.1%
5 6
 
4.3%
4 5
 
3.5%
3 19
13.5%

w2_F01_37
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They really want to enjoy life. Having a good time is very important to them

Distinct8
Distinct (%)8.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.063157895
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.829677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32.5
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.405237364
Coefficient of variation (CV)0.6811099469
Kurtosis4.060220903
Mean2.063157895
Median Absolute Deviation (MAD)1
Skewness1.859429502
Sum196
Variance1.974692049
MonotonicityNot monotonic
2025-02-26T17:45:18.867934image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 43
30.5%
2 28
19.9%
3 11
 
7.8%
4 7
 
5.0%
5 3
 
2.1%
6 1
 
0.7%
8 1
 
0.7%
7 1
 
0.7%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 43
30.5%
2 28
19.9%
3 11
 
7.8%
4 7
 
5.0%
5 3
 
2.1%
ValueCountFrequency (%)
8 1
 
0.7%
7 1
 
0.7%
6 1
 
0.7%
5 3
2.1%
4 7
5.0%

w2_F01_38
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to be humble and modest. They try not to draw to themself

Distinct8
Distinct (%)8.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.526315789
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.905085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.569944472
Coefficient of variation (CV)0.6214363533
Kurtosis2.394623634
Mean2.526315789
Median Absolute Deviation (MAD)1
Skewness1.450071156
Sum240
Variance2.464725644
MonotonicityNot monotonic
2025-02-26T17:45:18.944032image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 28
19.9%
2 27
19.1%
3 22
15.6%
4 9
 
6.4%
6 3
 
2.1%
5 3
 
2.1%
8 2
 
1.4%
7 1
 
0.7%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 28
19.9%
2 27
19.1%
3 22
15.6%
4 9
 
6.4%
5 3
 
2.1%
ValueCountFrequency (%)
8 2
 
1.4%
7 1
 
0.7%
6 3
 
2.1%
5 3
 
2.1%
4 9
6.4%

w2_F01_39
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: They always want to be the one who makes the decisions. They like to be the leader

Distinct8
Distinct (%)8.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean3.305263158
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:18.982482image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.810569936
Coefficient of variation (CV)0.5477838979
Kurtosis-0.3352664005
Mean3.305263158
Median Absolute Deviation (MAD)1
Skewness0.6080441469
Sum314
Variance3.278163494
MonotonicityNot monotonic
2025-02-26T17:45:19.022484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 23
16.3%
1 16
 
11.3%
3 16
 
11.3%
4 15
 
10.6%
5 14
 
9.9%
6 5
 
3.5%
7 4
 
2.8%
8 2
 
1.4%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 16
11.3%
2 23
16.3%
3 16
11.3%
4 15
10.6%
5 14
9.9%
ValueCountFrequency (%)
8 2
 
1.4%
7 4
 
2.8%
6 5
 
3.5%
5 14
9.9%
4 15
10.6%

w2_F01_40
Real number (ℝ)

Missing 

Below is a brief description of some people. Please read each description and tell us how much each person is or is not like you. Use this scale for your answer: 1. Very much like me; 2. Like me; 3. Somewhat like me; 4. A little like me; 5. Not like me; 6. Not like me at all; 7. Prefer not to say; 8. Don’t know The items must be expressed for men, women and non-binary (for LSE). Statement: It is important to them to adapt to nature and to fit into it. They believe that people should not change nature

Distinct7
Distinct (%)7.4%
Missing46
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean2.557894737
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:19.059692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6.6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.82019282
Coefficient of variation (CV)0.7115980162
Kurtosis2.173847239
Mean2.557894737
Median Absolute Deviation (MAD)1
Skewness1.559229917
Sum243
Variance3.313101904
MonotonicityNot monotonic
2025-02-26T17:45:19.098509image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 33
23.4%
2 25
17.7%
3 18
 
12.8%
5 6
 
4.3%
4 6
 
4.3%
8 5
 
3.5%
6 2
 
1.4%
(Missing) 46
32.6%
ValueCountFrequency (%)
1 33
23.4%
2 25
17.7%
3 18
12.8%
4 6
 
4.3%
5 6
 
4.3%
ValueCountFrequency (%)
8 5
 
3.5%
6 2
 
1.4%
5 6
 
4.3%
4 6
 
4.3%
3 18
12.8%

w2_interviewtime
Real number (ℝ)

Unique 

interviewtime

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1103.163617
Minimum0
Maximum14389.6
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:19.145674image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.51
Q1440.06
median788.4
Q31262.97
95-th percentile2893.08
Maximum14389.6
Range14389.6
Interquartile range (IQR)822.91

Descriptive statistics

Standard deviation1519.854737
Coefficient of variation (CV)1.37772377
Kurtosis44.14060241
Mean1103.163617
Median Absolute Deviation (MAD)404.73
Skewness5.707487475
Sum155546.07
Variance2309958.423
MonotonicityNot monotonic
2025-02-26T17:45:19.198730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
503.4 1
 
0.7%
1213.54 1
 
0.7%
411.37 1
 
0.7%
164.11 1
 
0.7%
833.24 1
 
0.7%
4612.55 1
 
0.7%
184.18 1
 
0.7%
777.79 1
 
0.7%
562.04 1
 
0.7%
1828.53 1
 
0.7%
Other values (131) 131
92.9%
ValueCountFrequency (%)
0.0 1
0.7%
3.04 1
0.7%
3.48 1
0.7%
3.76 1
0.7%
3.85 1
0.7%
ValueCountFrequency (%)
14389.6 1
0.7%
7985.96 1
0.7%
4612.55 1
0.7%
4110.68 1
0.7%
3512.64 1
0.7%

w2_GT_A1
Real number (ℝ)

Missing 

Distinct129
Distinct (%)100.0%
Missing12
Missing (%)8.5%
Infinite0
Infinite (%)0.0%
Mean132.8807752
Minimum9.32
Maximum999.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:19.251842image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum9.32
5-th percentile41.162
Q169.33
median99.75
Q3150.35
95-th percentile316.392
Maximum999.12
Range989.8
Interquartile range (IQR)81.02

Descriptive statistics

Standard deviation120.6665338
Coefficient of variation (CV)0.9080812004
Kurtosis23.32463193
Mean132.8807752
Median Absolute Deviation (MAD)33.93
Skewness4.100991959
Sum17141.62
Variance14560.41239
MonotonicityNot monotonic
2025-02-26T17:45:19.303007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61.05 1
 
0.7%
64.09 1
 
0.7%
9.32 1
 
0.7%
522.95 1
 
0.7%
83.51 1
 
0.7%
135.46 1
 
0.7%
67.45 1
 
0.7%
57.26 1
 
0.7%
181.54 1
 
0.7%
120.24 1
 
0.7%
Other values (119) 119
84.4%
(Missing) 12
 
8.5%
ValueCountFrequency (%)
9.32 1
0.7%
30.82 1
0.7%
31.01 1
0.7%
35.62 1
0.7%
36.83 1
0.7%
ValueCountFrequency (%)
999.12 1
0.7%
666.77 1
0.7%
522.95 1
0.7%
416.22 1
0.7%
352.28 1
0.7%

w2_GT_A2
Real number (ℝ)

Missing 

Distinct122
Distinct (%)95.3%
Missing13
Missing (%)9.2%
Infinite0
Infinite (%)0.0%
Mean15.09546875
Minimum1.26
Maximum88.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:19.353594image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1.26
5-th percentile7.373
Q19.855
median12.365
Q315.61
95-th percentile27.3585
Maximum88.38
Range87.12
Interquartile range (IQR)5.755

Descriptive statistics

Standard deviation11.38862147
Coefficient of variation (CV)0.7544397368
Kurtosis23.89945651
Mean15.09546875
Median Absolute Deviation (MAD)2.855
Skewness4.372326458
Sum1932.22
Variance129.700699
MonotonicityNot monotonic
2025-02-26T17:45:19.402282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.55 2
 
1.4%
14.9 2
 
1.4%
7.7 2
 
1.4%
17.84 2
 
1.4%
8.49 2
 
1.4%
11.58 2
 
1.4%
14.73 1
 
0.7%
11.96 1
 
0.7%
9.86 1
 
0.7%
8.4 1
 
0.7%
Other values (112) 112
79.4%
(Missing) 13
 
9.2%
ValueCountFrequency (%)
1.26 1
0.7%
5.86 1
0.7%
6.44 1
0.7%
7.06 1
0.7%
7.16 1
0.7%
ValueCountFrequency (%)
88.38 1
0.7%
84.8 1
0.7%
46.42 1
0.7%
45.56 1
0.7%
38.66 1
0.7%

w2_GT_B
Real number (ℝ)

Missing 

Distinct123
Distinct (%)99.2%
Missing17
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean66.45185484
Minimum10.96
Maximum622.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:19.449098image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum10.96
5-th percentile28.704
Q137.4475
median49.04
Q371.1475
95-th percentile151.967
Maximum622.08
Range611.12
Interquartile range (IQR)33.7

Descriptive statistics

Standard deviation66.25822014
Coefficient of variation (CV)0.9970860903
Kurtosis41.8873753
Mean66.45185484
Median Absolute Deviation (MAD)14.065
Skewness5.63274635
Sum8240.03
Variance4390.151736
MonotonicityNot monotonic
2025-02-26T17:45:19.501472image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.96 2
 
1.4%
39.21 1
 
0.7%
26.1 1
 
0.7%
20.59 1
 
0.7%
51.19 1
 
0.7%
39.84 1
 
0.7%
31.34 1
 
0.7%
152.75 1
 
0.7%
35.69 1
 
0.7%
42.76 1
 
0.7%
Other values (113) 113
80.1%
(Missing) 17
 
12.1%
ValueCountFrequency (%)
10.96 1
0.7%
20.59 1
0.7%
25.36 1
0.7%
26.1 1
0.7%
26.53 1
0.7%
ValueCountFrequency (%)
622.08 1
0.7%
332.07 1
0.7%
211.52 1
0.7%
196.13 1
0.7%
186.74 1
0.7%

w2_GT_C
Real number (ℝ)

Missing 

Distinct118
Distinct (%)100.0%
Missing23
Missing (%)16.3%
Infinite0
Infinite (%)0.0%
Mean291.5027966
Minimum5.45
Maximum2428.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:19.554286image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum5.45
5-th percentile13.6295
Q1148.0275
median198.73
Q3287.555
95-th percentile763.9095
Maximum2428.28
Range2422.83
Interquartile range (IQR)139.5275

Descriptive statistics

Standard deviation363.561133
Coefficient of variation (CV)1.247196038
Kurtosis19.30658029
Mean291.5027966
Median Absolute Deviation (MAD)60.99
Skewness4.177144285
Sum34397.33
Variance132176.6975
MonotonicityNot monotonic
2025-02-26T17:45:19.606748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157.73 1
 
0.7%
127.0 1
 
0.7%
164.32 1
 
0.7%
190.72 1
 
0.7%
217.35 1
 
0.7%
184.77 1
 
0.7%
222.55 1
 
0.7%
164.98 1
 
0.7%
213.04 1
 
0.7%
305.49 1
 
0.7%
Other values (108) 108
76.6%
(Missing) 23
 
16.3%
ValueCountFrequency (%)
5.45 1
0.7%
6.85 1
0.7%
9.13 1
0.7%
10.21 1
0.7%
12.19 1
0.7%
ValueCountFrequency (%)
2428.28 1
0.7%
2189.58 1
0.7%
1914.16 1
0.7%
1513.04 1
0.7%
1003.77 1
0.7%

w2_GT_D
Real number (ℝ)

Missing 

Distinct115
Distinct (%)99.1%
Missing25
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean126.1859483
Minimum7.84
Maximum3084.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:19.655673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.84
5-th percentile10.9475
Q160.685
median89.575
Q3136.1775
95-th percentile216.99
Maximum3084.4
Range3076.56
Interquartile range (IQR)75.4925

Descriptive statistics

Standard deviation288.3988727
Coefficient of variation (CV)2.285507037
Kurtosis98.43508417
Mean126.1859483
Median Absolute Deviation (MAD)36.005
Skewness9.588430624
Sum14637.57
Variance83173.90979
MonotonicityNot monotonic
2025-02-26T17:45:19.706577image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.25 2
 
1.4%
184.64 1
 
0.7%
198.06 1
 
0.7%
105.88 1
 
0.7%
7.84 1
 
0.7%
122.3 1
 
0.7%
87.56 1
 
0.7%
18.98 1
 
0.7%
19.18 1
 
0.7%
103.22 1
 
0.7%
Other values (105) 105
74.5%
(Missing) 25
 
17.7%
ValueCountFrequency (%)
7.84 1
0.7%
8.42 1
0.7%
8.65 1
0.7%
9.82 1
0.7%
10.29 1
0.7%
ValueCountFrequency (%)
3084.4 1
0.7%
638.22 1
0.7%
296.91 1
0.7%
255.3 1
0.7%
231.67 1
0.7%

w2_GT_E
Real number (ℝ)

Missing 

Distinct114
Distinct (%)99.1%
Missing26
Missing (%)18.4%
Infinite0
Infinite (%)0.0%
Mean137.0183478
Minimum4.6
Maximum2937.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:19.756704image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.6
5-th percentile15.03
Q150.77
median70.81
Q396.795
95-th percentile263.24
Maximum2937.3
Range2932.7
Interquartile range (IQR)46.025

Descriptive statistics

Standard deviation342.0230757
Coefficient of variation (CV)2.496184497
Kurtosis45.63472562
Mean137.0183478
Median Absolute Deviation (MAD)22.9
Skewness6.45625211
Sum15757.11
Variance116979.7843
MonotonicityNot monotonic
2025-02-26T17:45:19.806943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208.76 2
 
1.4%
70.6 1
 
0.7%
55.19 1
 
0.7%
51.59 1
 
0.7%
70.58 1
 
0.7%
76.87 1
 
0.7%
58.15 1
 
0.7%
99.24 1
 
0.7%
46.79 1
 
0.7%
57.48 1
 
0.7%
Other values (104) 104
73.8%
(Missing) 26
 
18.4%
ValueCountFrequency (%)
4.6 1
0.7%
5.18 1
0.7%
5.87 1
0.7%
5.88 1
0.7%
12.62 1
0.7%
ValueCountFrequency (%)
2937.3 1
0.7%
1742.05 1
0.7%
1544.93 1
0.7%
521.03 1
0.7%
491.04 1
0.7%

w2_GT_F
Real number (ℝ)

Missing 

Distinct108
Distinct (%)100.0%
Missing33
Missing (%)23.4%
Infinite0
Infinite (%)0.0%
Mean571.2999074
Minimum9.65
Maximum8563.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2025-02-26T17:45:19.858497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum9.65
5-th percentile21.018
Q1192.915
median354.355
Q3537.975
95-th percentile1528.426
Maximum8563.24
Range8553.59
Interquartile range (IQR)345.06

Descriptive statistics

Standard deviation1024.950382
Coefficient of variation (CV)1.794067125
Kurtosis38.02948559
Mean571.2999074
Median Absolute Deviation (MAD)164.6
Skewness5.679360289
Sum61700.39
Variance1050523.286
MonotonicityNot monotonic
2025-02-26T17:45:19.973649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.47 1
 
0.7%
373.32 1
 
0.7%
391.22 1
 
0.7%
348.57 1
 
0.7%
512.86 1
 
0.7%
251.92 1
 
0.7%
13.47 1
 
0.7%
530.0 1
 
0.7%
238.81 1
 
0.7%
9.65 1
 
0.7%
Other values (98) 98
69.5%
(Missing) 33
 
23.4%
ValueCountFrequency (%)
9.65 1
0.7%
9.71 1
0.7%
11.37 1
0.7%
12.63 1
0.7%
13.47 1
0.7%
ValueCountFrequency (%)
8563.24 1
0.7%
4873.03 1
0.7%
3939.14 1
0.7%
2997.75 1
0.7%
1685.74 1
0.7%