Overview

Brought to you by YData

Dataset statistics

Number of variables192
Number of observations287
Missing cells4012
Missing cells (%)7.3%
Total size in memory420.6 KiB
Average record size in memory1.5 KiB

Variable types

Text6
Numeric147
DateTime3
Boolean36

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 "wenetItaly" Constant
w2_A05_6 is highly imbalanced (62.2%) Imbalance
w2_A05_10 is highly imbalanced (53.9%) Imbalance
w2_B02_4 is highly imbalanced (51.7%) Imbalance
w2_B02_5 is highly imbalanced (78.2%) Imbalance
w2_B02_8 is highly imbalanced (89.4%) Imbalance
w2_C07_2 is highly imbalanced (63.5%) Imbalance
w2_C07_3 is highly imbalanced (81.6%) Imbalance
w2_D06_1 is highly imbalanced (61.0%) Imbalance
w2_D06_2 is highly imbalanced (53.9%) Imbalance
w2_lastpage has 4 (1.4%) missing values Missing
w2_submitdate has 7 (2.4%) missing values Missing
w2_refurl has 181 (63.1%) missing values Missing
w2_A01 has 4 (1.4%) missing values Missing
w2_A01_other has 276 (96.2%) missing values Missing
w2_A02 has 39 (13.6%) missing values Missing
w2_A03 has 47 (16.4%) missing values Missing
w2_A04 has 26 (9.1%) missing values Missing
w2_A06_1 has 25 (8.7%) missing values Missing
w2_A06_2 has 22 (7.7%) missing values Missing
w2_A07 has 5 (1.7%) missing values Missing
w2_A08 has 5 (1.7%) missing values Missing
w2_B01_1 has 5 (1.7%) missing values Missing
w2_B01_2 has 7 (2.4%) missing values Missing
w2_B01_3 has 5 (1.7%) missing values Missing
w2_B01_4 has 5 (1.7%) missing values Missing
w2_B01_5 has 6 (2.1%) missing values Missing
w2_B01_6 has 5 (1.7%) missing values Missing
w2_B01_7 has 6 (2.1%) missing values Missing
w2_B03 has 4 (1.4%) missing values Missing
w2_C01 has 4 (1.4%) missing values Missing
w2_C02 has 129 (44.9%) missing values Missing
w2_C03_1 has 8 (2.8%) missing values Missing
w2_C03_2 has 9 (3.1%) missing values Missing
w2_C03_3 has 8 (2.8%) missing values Missing
w2_C03_4 has 9 (3.1%) missing values Missing
w2_C03_5 has 8 (2.8%) missing values Missing
w2_C04 has 7 (2.4%) missing values Missing
w2_C05_1 has 8 (2.8%) missing values Missing
w2_C05_2 has 7 (2.4%) missing values Missing
w2_C05_3 has 7 (2.4%) missing values Missing
w2_C05_4 has 7 (2.4%) missing values Missing
w2_C05_5 has 7 (2.4%) missing values Missing
w2_C05_6 has 7 (2.4%) missing values Missing
w2_C05_7 has 10 (3.5%) missing values Missing
w2_C05_8 has 7 (2.4%) missing values Missing
w2_C05_9 has 7 (2.4%) missing values Missing
w2_C08 has 8 (2.8%) missing values Missing
w2_C09 has 7 (2.4%) missing values Missing
w2_C10_1 has 53 (18.5%) missing values Missing
w2_C10_2 has 52 (18.1%) missing values Missing
w2_C10_3 has 53 (18.5%) missing values Missing
w2_C10_4 has 52 (18.1%) missing values Missing
w2_C10_5 has 52 (18.1%) missing values Missing
w2_C10_6 has 53 (18.5%) missing values Missing
w2_C10_7 has 52 (18.1%) missing values Missing
w2_C11 has 52 (18.1%) missing values Missing
w2_C12_1 has 52 (18.1%) missing values Missing
w2_C12_2 has 52 (18.1%) missing values Missing
w2_C12_3 has 52 (18.1%) missing values Missing
w2_C12_4 has 53 (18.5%) missing values Missing
w2_C12_5 has 54 (18.8%) missing values Missing
w2_D01 has 4 (1.4%) missing values Missing
w2_D02 has 4 (1.4%) missing values Missing
w2_D03_1 has 82 (28.6%) missing values Missing
w2_D03_2 has 82 (28.6%) missing values Missing
w2_D03_3 has 85 (29.6%) missing values Missing
w2_D03_4 has 82 (28.6%) missing values Missing
w2_D03_5 has 83 (28.9%) missing values Missing
w2_D03_6 has 84 (29.3%) missing values Missing
w2_D03_7 has 84 (29.3%) missing values Missing
w2_D03_8 has 83 (28.9%) missing values Missing
w2_D04 has 82 (28.6%) missing values Missing
w2_D05_1 has 81 (28.2%) missing values Missing
w2_D05_2 has 83 (28.9%) missing values Missing
w2_D05_3 has 83 (28.9%) missing values Missing
w2_D06_other has 277 (96.5%) missing values Missing
w2_D07_1 has 82 (28.6%) missing values Missing
w2_D07_2 has 82 (28.6%) missing values Missing
w2_D07_3 has 83 (28.9%) missing values Missing
w2_D07_4 has 83 (28.9%) missing values Missing
w2_D07_5 has 82 (28.6%) missing values Missing
w2_E01_1 has 5 (1.7%) missing values Missing
w2_E01_2 has 5 (1.7%) missing values Missing
w2_E01_3 has 7 (2.4%) missing values Missing
w2_E01_4 has 6 (2.1%) missing values Missing
w2_E01_5 has 6 (2.1%) missing values Missing
w2_E01_6 has 6 (2.1%) missing values Missing
w2_E02_1 has 6 (2.1%) missing values Missing
w2_E02_2 has 7 (2.4%) missing values Missing
w2_E02_3 has 6 (2.1%) missing values Missing
w2_E02_4 has 7 (2.4%) missing values Missing
w2_E02_5 has 7 (2.4%) missing values Missing
w2_F02_1 has 9 (3.1%) missing values Missing
w2_F02_2 has 9 (3.1%) missing values Missing
w2_F02_3 has 9 (3.1%) missing values Missing
w2_F02_4 has 9 (3.1%) missing values Missing
w2_F02_5 has 9 (3.1%) missing values Missing
w2_F02_6 has 9 (3.1%) missing values Missing
w2_F02_7 has 9 (3.1%) missing values Missing
w2_F02_8 has 9 (3.1%) missing values Missing
w2_F02_9 has 9 (3.1%) missing values Missing
w2_F02_10 has 10 (3.5%) missing values Missing
w2_F02_11 has 9 (3.1%) missing values Missing
w2_F02_12 has 9 (3.1%) missing values Missing
w2_F02_13 has 9 (3.1%) missing values Missing
w2_F02_14 has 10 (3.5%) missing values Missing
w2_F02_15 has 9 (3.1%) missing values Missing
w2_F02_16 has 9 (3.1%) missing values Missing
w2_F02_17 has 9 (3.1%) missing values Missing
w2_F02_18 has 9 (3.1%) missing values Missing
w2_F02_19 has 9 (3.1%) missing values Missing
w2_F02_20 has 9 (3.1%) missing values Missing
w2_F01_1 has 10 (3.5%) missing values Missing
w2_F01_2 has 10 (3.5%) missing values Missing
w2_F01_3 has 10 (3.5%) missing values Missing
w2_F01_4 has 10 (3.5%) missing values Missing
w2_F01_5 has 10 (3.5%) missing values Missing
w2_F01_6 has 10 (3.5%) missing values Missing
w2_F01_7 has 11 (3.8%) missing values Missing
w2_F01_8 has 10 (3.5%) missing values Missing
w2_F01_9 has 11 (3.8%) missing values Missing
w2_F01_10 has 11 (3.8%) missing values Missing
w2_F01_11 has 11 (3.8%) missing values Missing
w2_F01_12 has 11 (3.8%) missing values Missing
w2_F01_13 has 11 (3.8%) missing values Missing
w2_F01_14 has 10 (3.5%) missing values Missing
w2_F01_15 has 11 (3.8%) missing values Missing
w2_F01_16 has 10 (3.5%) missing values Missing
w2_F01_17 has 10 (3.5%) missing values Missing
w2_F01_18 has 10 (3.5%) missing values Missing
w2_F01_19 has 10 (3.5%) missing values Missing
w2_F01_20 has 10 (3.5%) missing values Missing
w2_F01_21 has 10 (3.5%) missing values Missing
w2_F01_22 has 10 (3.5%) missing values Missing
w2_F01_23 has 10 (3.5%) missing values Missing
w2_F01_24 has 10 (3.5%) missing values Missing
w2_F01_25 has 12 (4.2%) missing values Missing
w2_F01_26 has 10 (3.5%) missing values Missing
w2_F01_27 has 11 (3.8%) missing values Missing
w2_F01_28 has 10 (3.5%) missing values Missing
w2_F01_29 has 10 (3.5%) missing values Missing
w2_F01_30 has 10 (3.5%) missing values Missing
w2_F01_31 has 10 (3.5%) missing values Missing
w2_F01_32 has 11 (3.8%) missing values Missing
w2_F01_33 has 10 (3.5%) missing values Missing
w2_F01_34 has 10 (3.5%) missing values Missing
w2_F01_35 has 10 (3.5%) missing values Missing
w2_F01_36 has 10 (3.5%) missing values Missing
w2_F01_37 has 10 (3.5%) missing values Missing
w2_F01_38 has 10 (3.5%) missing values Missing
w2_F01_39 has 10 (3.5%) missing values Missing
w2_F01_40 has 10 (3.5%) missing values Missing
w2_GT_A1 has 4 (1.4%) missing values Missing
w2_GT_A2 has 4 (1.4%) missing values Missing
w2_GT_B has 4 (1.4%) missing values Missing
w2_GT_C has 4 (1.4%) missing values Missing
w2_GT_D has 4 (1.4%) missing values Missing
w2_GT_E has 4 (1.4%) missing values Missing
w2_GT_F has 6 (2.1%) missing values Missing
token has unique values Unique
w2_A03 has 82 (28.6%) zeros Zeros
w2_interviewtime has 4 (1.4%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:46:44.452333
Analysis finished2025-02-26 16:46:44.798626
Duration0.35 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct287
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2025-02-26T17:46:44.945317image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters4305
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

Unique287 ?
Unique (%)100.0%

Sample

1st row02kBW6BY0e7AYpM
2nd row0A1VvXvDVYUEbiJ
3rd row0HgQCJleNT0RO6v
4th row0qV69OJ7wQPIzz5
5th row1L9cHRxsPwjmYkj
ValueCountFrequency (%)
02kbw6by0e7aypm 1
 
0.3%
0a1vvxvdvyuebij 1
 
0.3%
0hgqcjlent0ro6v 1
 
0.3%
0qv69oj7wqpizz5 1
 
0.3%
1l9chrxspwjmykj 1
 
0.3%
1sawdxnapikiwlr 1
 
0.3%
1utfvzhxfx0eexx 1
 
0.3%
1wa5qfzqkwqpmdb 1
 
0.3%
1hotd9qxekzble8 1
 
0.3%
1zpgws1aaftlvbt 1
 
0.3%
Other values (277) 277
96.5%
2025-02-26T17:46:45.154455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 145
 
3.4%
a 139
 
3.2%
X 91
 
2.1%
F 87
 
2.0%
A 84
 
2.0%
V 81
 
1.9%
5 81
 
1.9%
T 76
 
1.8%
j 76
 
1.8%
i 74
 
1.7%
Other values (52) 3371
78.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4305
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 145
 
3.4%
a 139
 
3.2%
X 91
 
2.1%
F 87
 
2.0%
A 84
 
2.0%
V 81
 
1.9%
5 81
 
1.9%
T 76
 
1.8%
j 76
 
1.8%
i 74
 
1.7%
Other values (52) 3371
78.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4305
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 145
 
3.4%
a 139
 
3.2%
X 91
 
2.1%
F 87
 
2.0%
A 84
 
2.0%
V 81
 
1.9%
5 81
 
1.9%
T 76
 
1.8%
j 76
 
1.8%
i 74
 
1.7%
Other values (52) 3371
78.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4305
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 145
 
3.4%
a 139
 
3.2%
X 91
 
2.1%
F 87
 
2.0%
A 84
 
2.0%
V 81
 
1.9%
5 81
 
1.9%
T 76
 
1.8%
j 76
 
1.8%
i 74
 
1.7%
Other values (52) 3371
78.3%

w2_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2025-02-26T17:46:45.225259image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2870
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetItaly
2nd rowwenetItaly
3rd rowwenetItaly
4th rowwenetItaly
5th rowwenetItaly
ValueCountFrequency (%)
wenetitaly 287
100.0%
2025-02-26T17:46:45.327694image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 574
20.0%
t 574
20.0%
w 287
10.0%
n 287
10.0%
I 287
10.0%
a 287
10.0%
l 287
10.0%
y 287
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2870
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 574
20.0%
t 574
20.0%
w 287
10.0%
n 287
10.0%
I 287
10.0%
a 287
10.0%
l 287
10.0%
y 287
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2870
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 574
20.0%
t 574
20.0%
w 287
10.0%
n 287
10.0%
I 287
10.0%
a 287
10.0%
l 287
10.0%
y 287
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2870
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 574
20.0%
t 574
20.0%
w 287
10.0%
n 287
10.0%
I 287
10.0%
a 287
10.0%
l 287
10.0%
y 287
10.0%

w2_lastpage
Real number (ℝ)

Missing 

lastpage

Distinct2
Distinct (%)0.7%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.989399293
Minimum6
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:45.370767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q17
median7
Q37
95-th percentile7
Maximum7
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1025939784
Coefficient of variation (CV)0.01467851157
Kurtosis90.96438848
Mean6.989399293
Median Absolute Deviation (MAD)0
Skewness-9.608411139
Sum1978
Variance0.0105255244
MonotonicityNot monotonic
2025-02-26T17:46:45.408664image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
7 280
97.6%
6 3
 
1.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
6 3
 
1.0%
7 280
97.6%
ValueCountFrequency (%)
7 280
97.6%
6 3
 
1.0%

w2_submitdate
Date

Missing 

submitdate

Distinct279
Distinct (%)99.6%
Missing7
Missing (%)2.4%
Memory size2.4 KiB
Minimum2020-11-09 11:23:04
Maximum2021-01-25 11:30:16
2025-02-26T17:46:45.452589image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:46:45.504665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_startlanguage
Text

startlanguage

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2025-02-26T17:46:45.539568image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters574
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowit
2nd rowit
3rd rowit
4th rowit
5th rowit
ValueCountFrequency (%)
it 282
98.3%
en 5
 
1.7%
2025-02-26T17:46:45.609856image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 282
49.1%
t 282
49.1%
e 5
 
0.9%
n 5
 
0.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 574
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 282
49.1%
t 282
49.1%
e 5
 
0.9%
n 5
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 574
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 282
49.1%
t 282
49.1%
e 5
 
0.9%
n 5
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 574
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 282
49.1%
t 282
49.1%
e 5
 
0.9%
n 5
 
0.9%

w2_startdate
Date

startdate

Distinct285
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2020-11-09 11:11:41
Maximum2021-01-25 11:10:29
2025-02-26T17:46:45.657869image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:46:45.764666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_datestamp
Date

datestamp

Distinct286
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2020-11-09 11:23:04
Maximum2021-01-25 11:30:16
2025-02-26T17:46:45.816383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:46:45.868786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w2_refurl
Text

Missing 

refurl

Distinct3
Distinct (%)2.8%
Missing181
Missing (%)63.1%
Memory size3.7 KiB
2025-02-26T17:46:45.943298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.17924528
Min length4

Characters and Unicode

Total characters1291
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowandroid-gmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 95
89.6%
mail 9
 
8.5%
limesurvey 2
 
1.9%
2025-02-26T17:46:46.054400image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 201
15.6%
a 199
15.4%
d 190
14.7%
m 106
8.2%
l 106
8.2%
r 97
7.5%
n 95
7.4%
o 95
7.4%
- 95
7.4%
g 95
7.4%
Other values (5) 12
 
0.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1291
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 201
15.6%
a 199
15.4%
d 190
14.7%
m 106
8.2%
l 106
8.2%
r 97
7.5%
n 95
7.4%
o 95
7.4%
- 95
7.4%
g 95
7.4%
Other values (5) 12
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1291
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 201
15.6%
a 199
15.4%
d 190
14.7%
m 106
8.2%
l 106
8.2%
r 97
7.5%
n 95
7.4%
o 95
7.4%
- 95
7.4%
g 95
7.4%
Other values (5) 12
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1291
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 201
15.6%
a 199
15.4%
d 190
14.7%
m 106
8.2%
l 106
8.2%
r 97
7.5%
n 95
7.4%
o 95
7.4%
- 95
7.4%
g 95
7.4%
Other values (5) 12
 
0.9%

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 (%)1.8%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.4204947
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:46.095387image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.620963214
Coefficient of variation (CV)0.4738973032
Kurtosis-1.75826461
Mean3.4204947
Median Absolute Deviation (MAD)2
Skewness0.03794138554
Sum968
Variance2.62752174
MonotonicityNot monotonic
2025-02-26T17:46:46.134481image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 123
42.9%
2 120
41.8%
1 20
 
7.0%
6 11
 
3.8%
3 9
 
3.1%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 20
 
7.0%
2 120
41.8%
3 9
 
3.1%
5 123
42.9%
6 11
 
3.8%
ValueCountFrequency (%)
6 11
 
3.8%
5 123
42.9%
3 9
 
3.1%
2 120
41.8%
1 20
 
7.0%

w2_A01_other
Text

Missing 

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

Distinct11
Distinct (%)100.0%
Missing276
Missing (%)96.2%
Memory size2.6 KiB
2025-02-26T17:46:46.206960image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length30
Median length24
Mean length21
Min length10

Characters and Unicode

Total characters231
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st rowstudentato
2nd rowAltri studenti e partner
3rd rowMoglie e una figlia
4th rowStudenti e lavoratori
5th rowCompagna e i nostri due figli
ValueCountFrequency (%)
e 5
 
13.5%
studenti 3
 
8.1%
due 3
 
8.1%
studentato 2
 
5.4%
lavoratrici 2
 
5.4%
altri 1
 
2.7%
partner 1
 
2.7%
moglie 1
 
2.7%
una 1
 
2.7%
figlia 1
 
2.7%
Other values (17) 17
45.9%
2025-02-26T17:46:46.340530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
11.3%
t 24
10.4%
i 22
9.5%
e 20
8.7%
a 20
8.7%
o 17
 
7.4%
r 17
 
7.4%
n 15
 
6.5%
d 11
 
4.8%
l 11
 
4.8%
Other values (18) 48
20.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 231
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
26
11.3%
t 24
10.4%
i 22
9.5%
e 20
8.7%
a 20
8.7%
o 17
 
7.4%
r 17
 
7.4%
n 15
 
6.5%
d 11
 
4.8%
l 11
 
4.8%
Other values (18) 48
20.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 231
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
26
11.3%
t 24
10.4%
i 22
9.5%
e 20
8.7%
a 20
8.7%
o 17
 
7.4%
r 17
 
7.4%
n 15
 
6.5%
d 11
 
4.8%
l 11
 
4.8%
Other values (18) 48
20.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 231
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
26
11.3%
t 24
10.4%
i 22
9.5%
e 20
8.7%
a 20
8.7%
o 17
 
7.4%
r 17
 
7.4%
n 15
 
6.5%
d 11
 
4.8%
l 11
 
4.8%
Other values (18) 48
20.8%

w2_A02
Real number (ℝ)

Missing 

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

Distinct15
Distinct (%)6.0%
Missing39
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean3.092741935
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:46.388017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile6
Maximum20
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.596218782
Coefficient of variation (CV)0.8394553559
Kurtosis18.81624263
Mean3.092741935
Median Absolute Deviation (MAD)1
Skewness3.948592183
Sum767
Variance6.740351966
MonotonicityNot monotonic
2025-02-26T17:46:46.429634image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3 86
30.0%
2 67
23.3%
1 40
13.9%
4 36
12.5%
5 4
 
1.4%
6 4
 
1.4%
14 2
 
0.7%
9 2
 
0.7%
19 1
 
0.3%
7 1
 
0.3%
Other values (5) 5
 
1.7%
(Missing) 39
13.6%
ValueCountFrequency (%)
1 40
13.9%
2 67
23.3%
3 86
30.0%
4 36
12.5%
5 4
 
1.4%
ValueCountFrequency (%)
20 1
0.3%
19 1
0.3%
16 1
0.3%
15 1
0.3%
14 2
0.7%

w2_A03
Real number (ℝ)

Missing  Zeros 

How many of these people attend university? |__|

Distinct16
Distinct (%)6.7%
Missing47
Missing (%)16.4%
Infinite0
Infinite (%)0.0%
Mean1.991666667
Minimum0
Maximum30
Zeros82
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:46.471735image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile5.05
Maximum30
Range30
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.449566908
Coefficient of variation (CV)1.732000121
Kurtosis25.51816911
Mean1.991666667
Median Absolute Deviation (MAD)1
Skewness4.467898806
Sum478
Variance11.89951185
MonotonicityNot monotonic
2025-02-26T17:46:46.513182image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 82
28.6%
1 55
19.2%
2 42
14.6%
3 34
11.8%
4 12
 
4.2%
5 3
 
1.0%
14 2
 
0.7%
6 2
 
0.7%
19 1
 
0.3%
15 1
 
0.3%
Other values (6) 6
 
2.1%
(Missing) 47
16.4%
ValueCountFrequency (%)
0 82
28.6%
1 55
19.2%
2 42
14.6%
3 34
11.8%
4 12
 
4.2%
ValueCountFrequency (%)
30 1
0.3%
20 1
0.3%
19 1
0.3%
16 1
0.3%
15 1
0.3%

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 (%)1.1%
Missing26
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean1.38697318
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:46.552985image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.525926687
Coefficient of variation (CV)0.3791902356
Kurtosis-0.4420724002
Mean1.38697318
Median Absolute Deviation (MAD)0
Skewness0.86290604
Sum362
Variance0.27659888
MonotonicityNot monotonic
2025-02-26T17:46:46.593932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 165
57.5%
2 91
31.7%
3 5
 
1.7%
(Missing) 26
 
9.1%
ValueCountFrequency (%)
1 165
57.5%
2 91
31.7%
3 5
 
1.7%
ValueCountFrequency (%)
3 5
 
1.7%
2 91
31.7%
1 165
57.5%

w2_A05_1
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
199 
False
88 
ValueCountFrequency (%)
True 199
69.3%
False 88
30.7%
2025-02-26T17:46:46.633954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_2
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
247 
True
40 
ValueCountFrequency (%)
False 247
86.1%
True 40
 
13.9%
2025-02-26T17:46:46.666005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_3
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
236 
True
51 
ValueCountFrequency (%)
False 236
82.2%
True 51
 
17.8%
2025-02-26T17:46:46.697595image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_4
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
233 
True
54 
ValueCountFrequency (%)
False 233
81.2%
True 54
 
18.8%
2025-02-26T17:46:46.730278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_5
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
211 
True
76 
ValueCountFrequency (%)
False 211
73.5%
True 76
 
26.5%
2025-02-26T17:46:46.761833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_6
Boolean

Imbalance 

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
266 
False
 
21
ValueCountFrequency (%)
True 266
92.7%
False 21
 
7.3%
2025-02-26T17:46:46.793839image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_7
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
186 
True
101 
ValueCountFrequency (%)
False 186
64.8%
True 101
35.2%
2025-02-26T17:46:46.824485image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_8
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
210 
True
77 
ValueCountFrequency (%)
False 210
73.2%
True 77
 
26.8%
2025-02-26T17:46:46.856091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_9
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
155 
False
132 
ValueCountFrequency (%)
True 155
54.0%
False 132
46.0%
2025-02-26T17:46:46.888516image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A05_10
Boolean

Imbalance 

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
259 
False
28 
ValueCountFrequency (%)
True 259
90.2%
False 28
 
9.8%
2025-02-26T17:46:46.920036image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_A06_1
Real number (ℝ)

Missing 

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

Distinct48
Distinct (%)18.3%
Missing25
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean41.1851145
Minimum0
Maximum480
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:46.962120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110.5
median20
Q353.75
95-th percentile120
Maximum480
Range480
Interquartile range (IQR)43.25

Descriptive statistics

Standard deviation50.58240392
Coefficient of variation (CV)1.228171987
Kurtosis22.4635463
Mean41.1851145
Median Absolute Deviation (MAD)10
Skewness3.602911736
Sum10790.5
Variance2558.579586
MonotonicityNot monotonic
2025-02-26T17:46:47.013394image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
10.0 34
11.8%
15.0 34
11.8%
30.0 28
 
9.8%
20.0 25
 
8.7%
60.0 15
 
5.2%
120.0 13
 
4.5%
5.0 13
 
4.5%
40.0 10
 
3.5%
25.0 10
 
3.5%
90.0 9
 
3.1%
Other values (38) 71
24.7%
(Missing) 25
 
8.7%
ValueCountFrequency (%)
0.0 1
 
0.3%
1.0 1
 
0.3%
1.5 1
 
0.3%
2.0 3
1.0%
3.0 4
1.4%
ValueCountFrequency (%)
480.0 1
 
0.3%
240.0 1
 
0.3%
200.0 3
1.0%
180.0 1
 
0.3%
165.0 1
 
0.3%

w2_A06_2
Real number (ℝ)

Missing 

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.)

Distinct116
Distinct (%)43.8%
Missing22
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean33.12075472
Minimum0
Maximum800
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.064895image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q11.5
median5
Q335
95-th percentile149.6
Maximum800
Range800
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation74.45949303
Coefficient of variation (CV)2.24812187
Kurtosis50.47412993
Mean33.12075472
Median Absolute Deviation (MAD)4.2
Skewness5.973212587
Sum8777
Variance5544.216102
MonotonicityNot monotonic
2025-02-26T17:46:47.120699image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 23
 
8.0%
5.0 11
 
3.8%
1.5 11
 
3.8%
2.5 9
 
3.1%
2.0 9
 
3.1%
100.0 8
 
2.8%
4.0 7
 
2.4%
0.5 7
 
2.4%
3.0 7
 
2.4%
0.2 5
 
1.7%
Other values (106) 168
58.5%
(Missing) 22
 
7.7%
ValueCountFrequency (%)
0.0 1
 
0.3%
0.15 1
 
0.3%
0.2 5
1.7%
0.3 3
1.0%
0.5 7
2.4%
ValueCountFrequency (%)
800.0 1
0.3%
540.0 1
0.3%
300.0 1
0.3%
230.0 1
0.3%
212.0 1
0.3%

w2_A07
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.634751773
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.166566image/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 deviation0.4823556986
Coefficient of variation (CV)0.2950635727
Kurtosis-1.695427423
Mean1.634751773
Median Absolute Deviation (MAD)0
Skewness-0.5627145532
Sum461
Variance0.23266702
MonotonicityNot monotonic
2025-02-26T17:46:47.205991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 179
62.4%
1 103
35.9%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
1 103
35.9%
2 179
62.4%
ValueCountFrequency (%)
2 179
62.4%
1 103
35.9%

w2_A08
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.684397163
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.243726image/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 deviation0.465581745
Coefficient of variation (CV)0.2764085307
Kurtosis-1.37334894
Mean1.684397163
Median Absolute Deviation (MAD)0
Skewness-0.7977730558
Sum475
Variance0.2167663613
MonotonicityNot monotonic
2025-02-26T17:46:47.282278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 193
67.2%
1 89
31.0%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
1 89
31.0%
2 193
67.2%
ValueCountFrequency (%)
2 193
67.2%
1 89
31.0%

w2_B01_1
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.138297872
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.338663image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.3458260675
Coefficient of variation (CV)0.3038098163
Kurtosis2.455791246
Mean1.138297872
Median Absolute Deviation (MAD)0
Skewness2.106756827
Sum321
Variance0.119595669
MonotonicityNot monotonic
2025-02-26T17:46:47.383752image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 243
84.7%
2 39
 
13.6%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
1 243
84.7%
2 39
 
13.6%
ValueCountFrequency (%)
2 39
 
13.6%
1 243
84.7%

w2_B01_2
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.832142857
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.426117image/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 deviation0.3744085624
Coefficient of variation (CV)0.2043555507
Kurtosis1.201870801
Mean1.832142857
Median Absolute Deviation (MAD)0
Skewness-1.786991045
Sum513
Variance0.1401817716
MonotonicityNot monotonic
2025-02-26T17:46:47.466723image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 233
81.2%
1 47
 
16.4%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 47
 
16.4%
2 233
81.2%
ValueCountFrequency (%)
2 233
81.2%
1 47
 
16.4%

w2_B01_3
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.265957447
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.506241image/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 deviation0.4426271918
Coefficient of variation (CV)0.349638286
Kurtosis-0.8718617363
Mean1.265957447
Median Absolute Deviation (MAD)0
Skewness1.06506916
Sum357
Variance0.1959188309
MonotonicityNot monotonic
2025-02-26T17:46:47.547601image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 207
72.1%
2 75
 
26.1%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
1 207
72.1%
2 75
 
26.1%
ValueCountFrequency (%)
2 75
 
26.1%
1 207
72.1%

w2_B01_4
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.74822695
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.595493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.25
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.4348031562
Coefficient of variation (CV)0.2487109331
Kurtosis-0.6825161333
Mean1.74822695
Median Absolute Deviation (MAD)0
Skewness-1.149945655
Sum493
Variance0.1890537846
MonotonicityNot monotonic
2025-02-26T17:46:47.639406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 211
73.5%
1 71
 
24.7%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
1 71
 
24.7%
2 211
73.5%
ValueCountFrequency (%)
2 211
73.5%
1 71
 
24.7%

w2_B01_5
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing6
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.928825623
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.679418image/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 deviation0.2575746248
Coefficient of variation (CV)0.1335396118
Kurtosis9.312789442
Mean1.928825623
Median Absolute Deviation (MAD)0
Skewness-3.353588436
Sum542
Variance0.06634468734
MonotonicityNot monotonic
2025-02-26T17:46:47.720532image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 261
90.9%
1 20
 
7.0%
(Missing) 6
 
2.1%
ValueCountFrequency (%)
1 20
 
7.0%
2 261
90.9%
ValueCountFrequency (%)
2 261
90.9%
1 20
 
7.0%

w2_B01_6
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.453900709
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.763133image/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 deviation0.4987554233
Coefficient of variation (CV)0.3430464131
Kurtosis-1.979427185
Mean1.453900709
Median Absolute Deviation (MAD)0
Skewness0.1861777106
Sum410
Variance0.2487569723
MonotonicityNot monotonic
2025-02-26T17:46:47.803954image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 154
53.7%
2 128
44.6%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
1 154
53.7%
2 128
44.6%
ValueCountFrequency (%)
2 128
44.6%
1 154
53.7%

w2_B01_7
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing6
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.918149466
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:47.841424image/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 deviation0.2746259646
Coefficient of variation (CV)0.1431723489
Kurtosis7.459893855
Mean1.918149466
Median Absolute Deviation (MAD)0
Skewness-3.067058528
Sum539
Variance0.07541942044
MonotonicityNot monotonic
2025-02-26T17:46:47.945478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 258
89.9%
1 23
 
8.0%
(Missing) 6
 
2.1%
ValueCountFrequency (%)
1 23
 
8.0%
2 258
89.9%
ValueCountFrequency (%)
2 258
89.9%
1 23
 
8.0%

w2_B02_1
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
225 
False
62 
ValueCountFrequency (%)
True 225
78.4%
False 62
 
21.6%
2025-02-26T17:46:47.980989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_2
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
192 
True
95 
ValueCountFrequency (%)
False 192
66.9%
True 95
33.1%
2025-02-26T17:46:48.012586image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_3
Boolean

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
145 
False
142 
ValueCountFrequency (%)
True 145
50.5%
False 142
49.5%
2025-02-26T17:46:48.044870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_4
Boolean

Imbalance 

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
257 
True
30 
ValueCountFrequency (%)
False 257
89.5%
True 30
 
10.5%
2025-02-26T17:46:48.076627image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_5
Boolean

Imbalance 

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
277 
True
 
10
ValueCountFrequency (%)
False 277
96.5%
True 10
 
3.5%
2025-02-26T17:46:48.108208image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_6
Boolean

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
173 
False
114 
ValueCountFrequency (%)
True 173
60.3%
False 114
39.7%
2025-02-26T17:46:48.138602image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_7
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
157 
True
130 
ValueCountFrequency (%)
False 157
54.7%
True 130
45.3%
2025-02-26T17:46:48.169862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_B02_8
Boolean

Imbalance 

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
283 
True
 
4
ValueCountFrequency (%)
False 283
98.6%
True 4
 
1.4%
2025-02-26T17:46:48.201648image/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 (%)2.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.961130742
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.233335image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q34.5
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.657320359
Coefficient of variation (CV)0.5596917204
Kurtosis-1.301948315
Mean2.961130742
Median Absolute Deviation (MAD)1
Skewness0.3211392937
Sum838
Variance2.746710774
MonotonicityNot monotonic
2025-02-26T17:46:48.273220image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 76
26.5%
1 70
24.4%
5 53
18.5%
4 45
15.7%
3 21
 
7.3%
6 18
 
6.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 70
24.4%
2 76
26.5%
3 21
 
7.3%
4 45
15.7%
5 53
18.5%
ValueCountFrequency (%)
6 18
 
6.3%
5 53
18.5%
4 45
15.7%
3 21
 
7.3%
2 76
26.5%

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 (%)1.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.32155477
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.310114image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4901096849
Coefficient of variation (CV)0.3708583979
Kurtosis-0.2759857524
Mean1.32155477
Median Absolute Deviation (MAD)0
Skewness1.038866534
Sum374
Variance0.2402075032
MonotonicityNot monotonic
2025-02-26T17:46:48.349495image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 195
67.9%
2 85
29.6%
3 3
 
1.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 195
67.9%
2 85
29.6%
3 3
 
1.0%
ValueCountFrequency (%)
3 3
 
1.0%
2 85
29.6%
1 195
67.9%

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 (%)1.9%
Missing129
Missing (%)44.9%
Infinite0
Infinite (%)0.0%
Mean1.018987342
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.389375image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.1774382098
Coefficient of variation (CV)0.1741319078
Kurtosis105.9405929
Mean1.018987342
Median Absolute Deviation (MAD)0
Skewness10.06644272
Sum161
Variance0.03148431831
MonotonicityNot monotonic
2025-02-26T17:46:48.430153image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 156
54.4%
2 1
 
0.3%
3 1
 
0.3%
(Missing) 129
44.9%
ValueCountFrequency (%)
1 156
54.4%
2 1
 
0.3%
3 1
 
0.3%
ValueCountFrequency (%)
3 1
 
0.3%
2 1
 
0.3%
1 156
54.4%

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 (%)2.9%
Missing8
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean4.53046595
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.470200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q36
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.084104831
Coefficient of variation (CV)0.4600199746
Kurtosis-1.109230739
Mean4.53046595
Median Absolute Deviation (MAD)2
Skewness-0.1862098487
Sum1264
Variance4.343492948
MonotonicityNot monotonic
2025-02-26T17:46:48.509055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 52
18.1%
7 42
14.6%
5 42
14.6%
3 34
11.8%
4 33
11.5%
2 33
11.5%
1 28
9.8%
8 15
 
5.2%
(Missing) 8
 
2.8%
ValueCountFrequency (%)
1 28
9.8%
2 33
11.5%
3 34
11.8%
4 33
11.5%
5 42
14.6%
ValueCountFrequency (%)
8 15
 
5.2%
7 42
14.6%
6 52
18.1%
5 42
14.6%
4 33
11.5%

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 (%)2.9%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean5.68705036
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.547661image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.488552445
Coefficient of variation (CV)0.2617441996
Kurtosis1.253117775
Mean5.68705036
Median Absolute Deviation (MAD)1
Skewness-1.223995971
Sum1581
Variance2.21578838
MonotonicityNot monotonic
2025-02-26T17:46:48.586584image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 103
35.9%
6 69
24.0%
5 55
19.2%
4 23
 
8.0%
3 12
 
4.2%
1 7
 
2.4%
2 6
 
2.1%
8 3
 
1.0%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 7
 
2.4%
2 6
 
2.1%
3 12
 
4.2%
4 23
8.0%
5 55
19.2%
ValueCountFrequency (%)
8 3
 
1.0%
7 103
35.9%
6 69
24.0%
5 55
19.2%
4 23
 
8.0%

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 (%)2.9%
Missing8
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean5.046594982
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.624477image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median5
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.799674496
Coefficient of variation (CV)0.3566116367
Kurtosis-0.1534041768
Mean5.046594982
Median Absolute Deviation (MAD)1
Skewness-0.6668879396
Sum1408
Variance3.238828292
MonotonicityNot monotonic
2025-02-26T17:46:48.664907image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 65
22.6%
6 60
20.9%
7 54
18.8%
4 41
14.3%
1 19
 
6.6%
3 16
 
5.6%
2 13
 
4.5%
8 11
 
3.8%
(Missing) 8
 
2.8%
ValueCountFrequency (%)
1 19
 
6.6%
2 13
 
4.5%
3 16
 
5.6%
4 41
14.3%
5 65
22.6%
ValueCountFrequency (%)
8 11
 
3.8%
7 54
18.8%
6 60
20.9%
5 65
22.6%
4 41
14.3%

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 (%)2.9%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean3.708633094
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.703308image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.233159424
Coefficient of variation (CV)0.6021516197
Kurtosis-0.8946541863
Mean3.708633094
Median Absolute Deviation (MAD)2
Skewness0.4601699574
Sum1031
Variance4.987001013
MonotonicityNot monotonic
2025-02-26T17:46:48.743523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 59
20.6%
2 46
16.0%
5 39
13.6%
3 37
12.9%
4 36
12.5%
8 25
8.7%
6 22
 
7.7%
7 14
 
4.9%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 59
20.6%
2 46
16.0%
3 37
12.9%
4 36
12.5%
5 39
13.6%
ValueCountFrequency (%)
8 25
8.7%
7 14
 
4.9%
6 22
7.7%
5 39
13.6%
4 36
12.5%

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 (%)2.9%
Missing8
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean5.64516129
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.781873image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median6
Q37
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.468948344
Coefficient of variation (CV)0.2602137066
Kurtosis0.8846819003
Mean5.64516129
Median Absolute Deviation (MAD)1
Skewness-1.104130358
Sum1575
Variance2.157809236
MonotonicityNot monotonic
2025-02-26T17:46:48.820758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
7 93
32.4%
6 78
27.2%
5 53
18.5%
4 23
 
8.0%
3 16
 
5.6%
2 7
 
2.4%
1 5
 
1.7%
8 4
 
1.4%
(Missing) 8
 
2.8%
ValueCountFrequency (%)
1 5
 
1.7%
2 7
 
2.4%
3 16
 
5.6%
4 23
8.0%
5 53
18.5%
ValueCountFrequency (%)
8 4
 
1.4%
7 93
32.4%
6 78
27.2%
5 53
18.5%
4 23
 
8.0%

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 (%)1.8%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.732142857
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.858964image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.111862905
Coefficient of variation (CV)0.6419002338
Kurtosis1.562818033
Mean1.732142857
Median Absolute Deviation (MAD)0
Skewness1.585120978
Sum485
Variance1.236239119
MonotonicityNot monotonic
2025-02-26T17:46:48.899841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 165
57.5%
2 69
24.0%
4 22
 
7.7%
3 13
 
4.5%
5 11
 
3.8%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 165
57.5%
2 69
24.0%
3 13
 
4.5%
4 22
 
7.7%
5 11
 
3.8%
ValueCountFrequency (%)
5 11
 
3.8%
4 22
 
7.7%
3 13
 
4.5%
2 69
24.0%
1 165
57.5%

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 (%)2.5%
Missing8
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean4.82437276
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:48.938738image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q14
median5
Q36.5
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.789652779
Coefficient of variation (CV)0.3709607172
Kurtosis-0.7969421518
Mean4.82437276
Median Absolute Deviation (MAD)1
Skewness-0.4123424554
Sum1346
Variance3.202857069
MonotonicityNot monotonic
2025-02-26T17:46:48.976299image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7 70
24.4%
4 51
17.8%
5 51
17.8%
6 41
14.3%
3 33
11.5%
2 19
 
6.6%
1 14
 
4.9%
(Missing) 8
 
2.8%
ValueCountFrequency (%)
1 14
 
4.9%
2 19
 
6.6%
3 33
11.5%
4 51
17.8%
5 51
17.8%
ValueCountFrequency (%)
7 70
24.4%
6 41
14.3%
5 51
17.8%
4 51
17.8%
3 33
11.5%

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.

Distinct6
Distinct (%)2.1%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean5.757142857
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:49.015246image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q15
median6
Q37
95-th percentile7
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.116005605
Coefficient of variation (CV)0.1938471274
Kurtosis-0.2463026737
Mean5.757142857
Median Absolute Deviation (MAD)1
Skewness-0.6306618345
Sum1612
Variance1.24546851
MonotonicityNot monotonic
2025-02-26T17:46:49.052787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
7 88
30.7%
6 85
29.6%
5 68
23.7%
4 30
 
10.5%
3 8
 
2.8%
2 1
 
0.3%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
2 1
 
0.3%
3 8
 
2.8%
4 30
 
10.5%
5 68
23.7%
6 85
29.6%
ValueCountFrequency (%)
7 88
30.7%
6 85
29.6%
5 68
23.7%
4 30
 
10.5%
3 8
 
2.8%

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 (%)2.5%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean4.564285714
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:49.086901image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.534364844
Coefficient of variation (CV)0.3361675714
Kurtosis-0.5799067698
Mean4.564285714
Median Absolute Deviation (MAD)1
Skewness-0.3140509369
Sum1278
Variance2.354275474
MonotonicityNot monotonic
2025-02-26T17:46:49.124796image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 62
21.6%
6 61
21.3%
4 59
20.6%
3 44
15.3%
7 27
9.4%
2 18
 
6.3%
1 9
 
3.1%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 9
 
3.1%
2 18
 
6.3%
3 44
15.3%
4 59
20.6%
5 62
21.6%
ValueCountFrequency (%)
7 27
9.4%
6 61
21.3%
5 62
21.6%
4 59
20.6%
3 44
15.3%

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 (%)2.5%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean3.478571429
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:49.160650image/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 deviation1.43917468
Coefficient of variation (CV)0.4137257806
Kurtosis-0.4181621955
Mean3.478571429
Median Absolute Deviation (MAD)1
Skewness0.348365667
Sum974
Variance2.071223758
MonotonicityNot monotonic
2025-02-26T17:46:49.198828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 69
24.0%
3 68
23.7%
2 61
21.3%
5 37
12.9%
6 20
 
7.0%
1 18
 
6.3%
7 7
 
2.4%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 18
 
6.3%
2 61
21.3%
3 68
23.7%
4 69
24.0%
5 37
12.9%
ValueCountFrequency (%)
7 7
 
2.4%
6 20
 
7.0%
5 37
12.9%
4 69
24.0%
3 68
23.7%

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 (%)2.5%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean5.425
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:49.234882image/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 deviation1.469431656
Coefficient of variation (CV)0.270862978
Kurtosis0.4729204794
Mean5.425
Median Absolute Deviation (MAD)1
Skewness-0.9609590127
Sum1519
Variance2.159229391
MonotonicityNot monotonic
2025-02-26T17:46:49.270700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
6 79
27.5%
7 77
26.8%
5 61
21.3%
4 32
11.1%
3 16
 
5.6%
2 10
 
3.5%
1 5
 
1.7%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 5
 
1.7%
2 10
 
3.5%
3 16
 
5.6%
4 32
11.1%
5 61
21.3%
ValueCountFrequency (%)
7 77
26.8%
6 79
27.5%
5 61
21.3%
4 32
11.1%
3 16
 
5.6%

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 (%)2.5%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean3.507142857
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:49.306484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile6
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.35200066
Coefficient of variation (CV)0.38549917
Kurtosis-0.3393475252
Mean3.507142857
Median Absolute Deviation (MAD)1
Skewness0.2126449502
Sum982
Variance1.827905786
MonotonicityNot monotonic
2025-02-26T17:46:49.342128image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 80
27.9%
3 67
23.3%
2 55
19.2%
5 42
14.6%
1 16
 
5.6%
6 15
 
5.2%
7 5
 
1.7%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 16
 
5.6%
2 55
19.2%
3 67
23.3%
4 80
27.9%
5 42
14.6%
ValueCountFrequency (%)
7 5
 
1.7%
6 15
 
5.2%
5 42
14.6%
4 80
27.9%
3 67
23.3%

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 (%)2.5%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean4.397111913
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:49.377068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.677124102
Coefficient of variation (CV)0.3814149229
Kurtosis-0.8744574224
Mean4.397111913
Median Absolute Deviation (MAD)1
Skewness-0.1564326335
Sum1218
Variance2.812745252
MonotonicityNot monotonic
2025-02-26T17:46:49.414939image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
4 60
20.9%
6 51
17.8%
5 48
16.7%
3 43
15.0%
7 33
11.5%
2 30
10.5%
1 12
 
4.2%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 12
 
4.2%
2 30
10.5%
3 43
15.0%
4 60
20.9%
5 48
16.7%
ValueCountFrequency (%)
7 33
11.5%
6 51
17.8%
5 48
16.7%
4 60
20.9%
3 43
15.0%

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 (%)2.5%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:49.450588image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.750192002
Coefficient of variation (CV)0.6087624354
Kurtosis-0.2607238608
Mean2.875
Median Absolute Deviation (MAD)1
Skewness0.8228757418
Sum805
Variance3.063172043
MonotonicityNot monotonic
2025-02-26T17:46:49.488695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 76
26.5%
1 72
25.1%
3 44
15.3%
4 34
11.8%
5 26
 
9.1%
7 15
 
5.2%
6 13
 
4.5%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 72
25.1%
2 76
26.5%
3 44
15.3%
4 34
11.8%
5 26
 
9.1%
ValueCountFrequency (%)
7 15
 
5.2%
6 13
 
4.5%
5 26
9.1%
4 34
11.8%
3 44
15.3%

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 (%)2.5%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean4.642857143
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:49.524851image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.687276564
Coefficient of variation (CV)0.3634134137
Kurtosis-0.7525944825
Mean4.642857143
Median Absolute Deviation (MAD)1
Skewness-0.269218861
Sum1300
Variance2.846902202
MonotonicityNot monotonic
2025-02-26T17:46:49.562947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 65
22.6%
4 58
20.2%
7 52
18.1%
6 37
12.9%
3 31
10.8%
2 27
9.4%
1 10
 
3.5%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 10
 
3.5%
2 27
9.4%
3 31
10.8%
4 58
20.2%
5 65
22.6%
ValueCountFrequency (%)
7 52
18.1%
6 37
12.9%
5 65
22.6%
4 58
20.2%
3 31
10.8%

w2_C06_1
Boolean

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
187 
False
100 
ValueCountFrequency (%)
True 187
65.2%
False 100
34.8%
2025-02-26T17:46:49.600465image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_2
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
238 
False
49 
ValueCountFrequency (%)
True 238
82.9%
False 49
 
17.1%
2025-02-26T17:46:49.632055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_3
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
249 
True
38 
ValueCountFrequency (%)
False 249
86.8%
True 38
 
13.2%
2025-02-26T17:46:49.664739image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_4
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
251 
True
36 
ValueCountFrequency (%)
False 251
87.5%
True 36
 
12.5%
2025-02-26T17:46:49.696368image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_5
Boolean

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
223 
True
64 
ValueCountFrequency (%)
False 223
77.7%
True 64
 
22.3%
2025-02-26T17:46:49.727932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C06_6
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
198 
True
89 
ValueCountFrequency (%)
False 198
69.0%
True 89
31.0%
2025-02-26T17:46:49.760545image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_1
Boolean

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
175 
False
112 
ValueCountFrequency (%)
True 175
61.0%
False 112
39.0%
2025-02-26T17:46:49.791932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_2
Boolean

Imbalance 

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
267 
True
 
20
ValueCountFrequency (%)
False 267
93.0%
True 20
 
7.0%
2025-02-26T17:46:49.824028image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_3
Boolean

Imbalance 

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
279 
True
 
8
ValueCountFrequency (%)
False 279
97.2%
True 8
 
2.8%
2025-02-26T17:46:49.854544image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_4
Boolean

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
244 
True
43 
ValueCountFrequency (%)
False 244
85.0%
True 43
 
15.0%
2025-02-26T17:46:49.885073image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_5
Boolean

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
253 
True
34 
ValueCountFrequency (%)
False 253
88.2%
True 34
 
11.8%
2025-02-26T17:46:49.979709image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_6
Boolean

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
179 
True
108 
ValueCountFrequency (%)
False 179
62.4%
True 108
37.6%
2025-02-26T17:46:50.011518image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_C07_7
Boolean

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 (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
True
174 
False
113 
ValueCountFrequency (%)
True 174
60.6%
False 113
39.4%
2025-02-26T17:46:50.043010image/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 (%)0.7%
Missing8
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean1.100358423
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.077105image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.3010172451
Coefficient of variation (CV)0.2735629035
Kurtosis5.189809902
Mean1.100358423
Median Absolute Deviation (MAD)0
Skewness2.674445284
Sum307
Variance0.09061138186
MonotonicityNot monotonic
2025-02-26T17:46:50.115186image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 251
87.5%
2 28
 
9.8%
(Missing) 8
 
2.8%
ValueCountFrequency (%)
1 251
87.5%
2 28
 
9.8%
ValueCountFrequency (%)
2 28
 
9.8%
1 251
87.5%

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 (%)1.8%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2.65
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.152021image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.9422386216
Coefficient of variation (CV)0.355561744
Kurtosis-0.4350387233
Mean2.65
Median Absolute Deviation (MAD)1
Skewness-0.3103241796
Sum742
Variance0.8878136201
MonotonicityNot monotonic
2025-02-26T17:46:50.193624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 139
48.4%
2 55
 
19.2%
1 44
 
15.3%
4 39
 
13.6%
5 3
 
1.0%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 44
 
15.3%
2 55
 
19.2%
3 139
48.4%
4 39
 
13.6%
5 3
 
1.0%
ValueCountFrequency (%)
5 3
 
1.0%
4 39
 
13.6%
3 139
48.4%
2 55
 
19.2%
1 44
 
15.3%

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 (%)1.7%
Missing53
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.333333333
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.233058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8234753111
Coefficient of variation (CV)0.3529179905
Kurtosis-0.6830966372
Mean2.333333333
Median Absolute Deviation (MAD)1
Skewness-0.08268922589
Sum546
Variance0.678111588
MonotonicityNot monotonic
2025-02-26T17:46:50.270008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 92
32.1%
2 89
31.0%
1 40
13.9%
4 13
 
4.5%
(Missing) 53
18.5%
ValueCountFrequency (%)
1 40
13.9%
2 89
31.0%
3 92
32.1%
4 13
 
4.5%
ValueCountFrequency (%)
4 13
 
4.5%
3 92
32.1%
2 89
31.0%
1 40
13.9%

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 (%)1.7%
Missing52
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.204255319
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.305790image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7958110003
Coefficient of variation (CV)0.361033948
Kurtosis-0.7783013937
Mean2.204255319
Median Absolute Deviation (MAD)1
Skewness-0.0240471077
Sum518
Variance0.6333151482
MonotonicityNot monotonic
2025-02-26T17:46:50.343245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 98
34.1%
3 82
28.6%
1 48
16.7%
4 7
 
2.4%
(Missing) 52
18.1%
ValueCountFrequency (%)
1 48
16.7%
2 98
34.1%
3 82
28.6%
4 7
 
2.4%
ValueCountFrequency (%)
4 7
 
2.4%
3 82
28.6%
2 98
34.1%
1 48
16.7%

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

Distinct3
Distinct (%)1.3%
Missing53
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.055555556
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.380733image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.35
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2475439682
Coefficient of variation (CV)0.2345153383
Kurtosis23.9923523
Mean1.055555556
Median Absolute Deviation (MAD)0
Skewness4.731576863
Sum247
Variance0.06127801621
MonotonicityNot monotonic
2025-02-26T17:46:50.420669image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 222
77.4%
2 11
 
3.8%
3 1
 
0.3%
(Missing) 53
 
18.5%
ValueCountFrequency (%)
1 222
77.4%
2 11
 
3.8%
3 1
 
0.3%
ValueCountFrequency (%)
3 1
 
0.3%
2 11
 
3.8%
1 222
77.4%

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 (%)1.7%
Missing52
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean1.595744681
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.459510image/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 deviation0.8687247375
Coefficient of variation (CV)0.5444008355
Kurtosis0.4152634001
Mean1.595744681
Median Absolute Deviation (MAD)0
Skewness1.240533804
Sum375
Variance0.7546826696
MonotonicityNot monotonic
2025-02-26T17:46:50.497538image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 146
50.9%
2 47
 
16.4%
3 33
 
11.5%
4 9
 
3.1%
(Missing) 52
 
18.1%
ValueCountFrequency (%)
1 146
50.9%
2 47
 
16.4%
3 33
 
11.5%
4 9
 
3.1%
ValueCountFrequency (%)
4 9
 
3.1%
3 33
 
11.5%
2 47
 
16.4%
1 146
50.9%

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 (%)1.7%
Missing52
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.370212766
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.535187image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8080563611
Coefficient of variation (CV)0.340921445
Kurtosis-0.4563341765
Mean2.370212766
Median Absolute Deviation (MAD)1
Skewness0.1093011149
Sum557
Variance0.6529550827
MonotonicityNot monotonic
2025-02-26T17:46:50.572024image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 104
36.2%
3 82
28.6%
1 31
 
10.8%
4 18
 
6.3%
(Missing) 52
18.1%
ValueCountFrequency (%)
1 31
 
10.8%
2 104
36.2%
3 82
28.6%
4 18
 
6.3%
ValueCountFrequency (%)
4 18
 
6.3%
3 82
28.6%
2 104
36.2%
1 31
 
10.8%

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 (%)1.7%
Missing53
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean1.512820513
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.608135image/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 deviation0.927550511
Coefficient of variation (CV)0.613126609
Kurtosis1.492272704
Mean1.512820513
Median Absolute Deviation (MAD)0
Skewness1.670958179
Sum354
Variance0.8603499505
MonotonicityNot monotonic
2025-02-26T17:46:50.647107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 168
58.5%
2 29
 
10.1%
3 20
 
7.0%
4 17
 
5.9%
(Missing) 53
 
18.5%
ValueCountFrequency (%)
1 168
58.5%
2 29
 
10.1%
3 20
 
7.0%
4 17
 
5.9%
ValueCountFrequency (%)
4 17
 
5.9%
3 20
 
7.0%
2 29
 
10.1%
1 168
58.5%

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 (%)1.7%
Missing52
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean1.65106383
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.684249image/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 deviation0.6899375484
Coefficient of variation (CV)0.4178745461
Kurtosis0.4150566598
Mean1.65106383
Median Absolute Deviation (MAD)1
Skewness0.8213682736
Sum388
Variance0.4760138207
MonotonicityNot monotonic
2025-02-26T17:46:50.721806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 108
37.6%
2 104
36.2%
3 20
 
7.0%
4 3
 
1.0%
(Missing) 52
18.1%
ValueCountFrequency (%)
1 108
37.6%
2 104
36.2%
3 20
 
7.0%
4 3
 
1.0%
ValueCountFrequency (%)
4 3
 
1.0%
3 20
 
7.0%
2 104
36.2%
1 108
37.6%

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 (%)1.3%
Missing52
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean2.038297872
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.759326image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5174531613
Coefficient of variation (CV)0.2538653297
Kurtosis0.7634481556
Mean2.038297872
Median Absolute Deviation (MAD)0
Skewness0.05562570574
Sum479
Variance0.2677577741
MonotonicityNot monotonic
2025-02-26T17:46:50.800850image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 172
59.9%
3 36
 
12.5%
1 27
 
9.4%
(Missing) 52
 
18.1%
ValueCountFrequency (%)
1 27
 
9.4%
2 172
59.9%
3 36
 
12.5%
ValueCountFrequency (%)
3 36
 
12.5%
2 172
59.9%
1 27
 
9.4%

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 (%)2.1%
Missing52
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean1.94893617
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.842405image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9137768763
Coefficient of variation (CV)0.4688593143
Kurtosis-0.08666192727
Mean1.94893617
Median Absolute Deviation (MAD)1
Skewness0.6776769828
Sum458
Variance0.8349881797
MonotonicityNot monotonic
2025-02-26T17:46:50.882330image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 89
31.0%
2 82
28.6%
3 53
18.5%
4 9
 
3.1%
5 2
 
0.7%
(Missing) 52
18.1%
ValueCountFrequency (%)
1 89
31.0%
2 82
28.6%
3 53
18.5%
4 9
 
3.1%
5 2
 
0.7%
ValueCountFrequency (%)
5 2
 
0.7%
4 9
 
3.1%
3 53
18.5%
2 82
28.6%
1 89
31.0%

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 (%)2.1%
Missing52
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean1.417021277
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:50.922670image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8601627626
Coefficient of variation (CV)0.6070217694
Kurtosis8.316236422
Mean1.417021277
Median Absolute Deviation (MAD)0
Skewness2.779182982
Sum333
Variance0.7398799782
MonotonicityNot monotonic
2025-02-26T17:46:50.964230image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 170
59.2%
2 49
 
17.1%
5 8
 
2.8%
3 7
 
2.4%
4 1
 
0.3%
(Missing) 52
 
18.1%
ValueCountFrequency (%)
1 170
59.2%
2 49
 
17.1%
3 7
 
2.4%
4 1
 
0.3%
5 8
 
2.8%
ValueCountFrequency (%)
5 8
 
2.8%
4 1
 
0.3%
3 7
 
2.4%
2 49
 
17.1%
1 170
59.2%

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 (%)2.1%
Missing52
Missing (%)18.1%
Infinite0
Infinite (%)0.0%
Mean3.714893617
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.005773image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median4
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5843320108
Coefficient of variation (CV)0.157294413
Kurtosis2.099696474
Mean3.714893617
Median Absolute Deviation (MAD)0
Skewness-1.020007369
Sum873
Variance0.3414438989
MonotonicityNot monotonic
2025-02-26T17:46:51.047026image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 159
55.4%
3 62
 
21.6%
5 8
 
2.8%
2 5
 
1.7%
1 1
 
0.3%
(Missing) 52
 
18.1%
ValueCountFrequency (%)
1 1
 
0.3%
2 5
 
1.7%
3 62
 
21.6%
4 159
55.4%
5 8
 
2.8%
ValueCountFrequency (%)
5 8
 
2.8%
4 159
55.4%
3 62
 
21.6%
2 5
 
1.7%
1 1
 
0.3%

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 (%)2.1%
Missing53
Missing (%)18.5%
Infinite0
Infinite (%)0.0%
Mean2.264957265
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.087255image/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 deviation1.272982119
Coefficient of variation (CV)0.5620336147
Kurtosis-0.6827253005
Mean2.264957265
Median Absolute Deviation (MAD)1
Skewness0.6747153726
Sum530
Variance1.620483475
MonotonicityNot monotonic
2025-02-26T17:46:51.128490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 88
30.7%
2 58
20.2%
3 42
14.6%
4 30
 
10.5%
5 16
 
5.6%
(Missing) 53
18.5%
ValueCountFrequency (%)
1 88
30.7%
2 58
20.2%
3 42
14.6%
4 30
 
10.5%
5 16
 
5.6%
ValueCountFrequency (%)
5 16
 
5.6%
4 30
 
10.5%
3 42
14.6%
2 58
20.2%
1 88
30.7%

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 (%)2.1%
Missing54
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean1.622317597
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.167782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9209345621
Coefficient of variation (CV)0.5676660131
Kurtosis2.250248993
Mean1.622317597
Median Absolute Deviation (MAD)0
Skewness1.589164774
Sum378
Variance0.8481204677
MonotonicityNot monotonic
2025-02-26T17:46:51.210524image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 140
48.8%
2 56
 
19.5%
3 26
 
9.1%
4 7
 
2.4%
5 4
 
1.4%
(Missing) 54
 
18.8%
ValueCountFrequency (%)
1 140
48.8%
2 56
 
19.5%
3 26
 
9.1%
4 7
 
2.4%
5 4
 
1.4%
ValueCountFrequency (%)
5 4
 
1.4%
4 7
 
2.4%
3 26
 
9.1%
2 56
 
19.5%
1 140
48.8%

w2_D01
Real number (ℝ)

Missing 

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

Distinct2
Distinct (%)0.7%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.427561837
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.251597image/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 deviation0.4956012813
Coefficient of variation (CV)0.3471662441
Kurtosis-1.926994522
Mean1.427561837
Median Absolute Deviation (MAD)0
Skewness0.2944049558
Sum404
Variance0.24562063
MonotonicityNot monotonic
2025-02-26T17:46:51.289779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 162
56.4%
2 121
42.2%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 162
56.4%
2 121
42.2%
ValueCountFrequency (%)
2 121
42.2%
1 162
56.4%

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 (%)0.7%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.381625442
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.327851image/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 deviation0.4866459688
Coefficient of variation (CV)0.3522271334
Kurtosis-1.772522123
Mean1.381625442
Median Absolute Deviation (MAD)0
Skewness0.4899540508
Sum391
Variance0.2368242989
MonotonicityNot monotonic
2025-02-26T17:46:51.366712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 175
61.0%
2 108
37.6%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 175
61.0%
2 108
37.6%
ValueCountFrequency (%)
2 108
37.6%
1 175
61.0%

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 (%)2.0%
Missing82
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2.531707317
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.403286image/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 deviation0.8661496453
Coefficient of variation (CV)0.3421207655
Kurtosis-0.6121365996
Mean2.531707317
Median Absolute Deviation (MAD)1
Skewness-0.2585548146
Sum519
Variance0.750215208
MonotonicityNot monotonic
2025-02-26T17:46:51.439639image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 94
32.8%
2 60
20.9%
1 29
 
10.1%
4 22
 
7.7%
(Missing) 82
28.6%
ValueCountFrequency (%)
1 29
 
10.1%
2 60
20.9%
3 94
32.8%
4 22
 
7.7%
ValueCountFrequency (%)
4 22
 
7.7%
3 94
32.8%
2 60
20.9%
1 29
 
10.1%

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 (%)2.0%
Missing82
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2.063414634
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.475414image/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 deviation1.048284335
Coefficient of variation (CV)0.5080337796
Kurtosis-1.175278201
Mean2.063414634
Median Absolute Deviation (MAD)1
Skewness0.4138235535
Sum423
Variance1.098900048
MonotonicityNot monotonic
2025-02-26T17:46:51.512395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 85
29.6%
3 56
19.5%
2 43
15.0%
4 21
 
7.3%
(Missing) 82
28.6%
ValueCountFrequency (%)
1 85
29.6%
2 43
15.0%
3 56
19.5%
4 21
 
7.3%
ValueCountFrequency (%)
4 21
 
7.3%
3 56
19.5%
2 43
15.0%
1 85
29.6%

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.

Distinct3
Distinct (%)1.5%
Missing85
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean1.173267327
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.549278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4832294119
Coefficient of variation (CV)0.4118664186
Kurtosis7.137176667
Mean1.173267327
Median Absolute Deviation (MAD)0
Skewness2.830052495
Sum237
Variance0.2335106645
MonotonicityNot monotonic
2025-02-26T17:46:51.592314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 176
61.3%
2 17
 
5.9%
3 9
 
3.1%
(Missing) 85
29.6%
ValueCountFrequency (%)
1 176
61.3%
2 17
 
5.9%
3 9
 
3.1%
ValueCountFrequency (%)
3 9
 
3.1%
2 17
 
5.9%
1 176
61.3%

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 (%)2.0%
Missing82
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2.453658537
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.631528image/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 deviation1.035662514
Coefficient of variation (CV)0.4220890963
Kurtosis-1.17402004
Mean2.453658537
Median Absolute Deviation (MAD)1
Skewness-0.08883471403
Sum503
Variance1.072596844
MonotonicityNot monotonic
2025-02-26T17:46:51.669492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 75
26.1%
1 50
17.4%
2 46
16.0%
4 34
11.8%
(Missing) 82
28.6%
ValueCountFrequency (%)
1 50
17.4%
2 46
16.0%
3 75
26.1%
4 34
11.8%
ValueCountFrequency (%)
4 34
11.8%
3 75
26.1%
2 46
16.0%
1 50
17.4%

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 (%)2.0%
Missing83
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean1.514705882
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.707489image/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 deviation0.8092929541
Coefficient of variation (CV)0.5342904939
Kurtosis1.404582533
Mean1.514705882
Median Absolute Deviation (MAD)0
Skewness1.500615879
Sum309
Variance0.6549550855
MonotonicityNot monotonic
2025-02-26T17:46:51.744898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 133
46.3%
2 44
 
15.3%
3 20
 
7.0%
4 7
 
2.4%
(Missing) 83
28.9%
ValueCountFrequency (%)
1 133
46.3%
2 44
 
15.3%
3 20
 
7.0%
4 7
 
2.4%
ValueCountFrequency (%)
4 7
 
2.4%
3 20
 
7.0%
2 44
 
15.3%
1 133
46.3%

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 (%)2.0%
Missing84
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean1.206896552
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.782402image/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 deviation0.6344497297
Coefficient of variation (CV)0.5256869189
Kurtosis9.583810397
Mean1.206896552
Median Absolute Deviation (MAD)0
Skewness3.205493536
Sum245
Variance0.4025264595
MonotonicityNot monotonic
2025-02-26T17:46:51.820241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 180
62.7%
3 9
 
3.1%
2 9
 
3.1%
4 5
 
1.7%
(Missing) 84
29.3%
ValueCountFrequency (%)
1 180
62.7%
2 9
 
3.1%
3 9
 
3.1%
4 5
 
1.7%
ValueCountFrequency (%)
4 5
 
1.7%
3 9
 
3.1%
2 9
 
3.1%
1 180
62.7%

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 (%)2.0%
Missing84
Missing (%)29.3%
Infinite0
Infinite (%)0.0%
Mean1.216748768
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.857223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2.9
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5649106395
Coefficient of variation (CV)0.4642787847
Kurtosis7.918253438
Mean1.216748768
Median Absolute Deviation (MAD)0
Skewness2.829291579
Sum247
Variance0.3191240306
MonotonicityNot monotonic
2025-02-26T17:46:51.895855image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 172
59.9%
2 20
 
7.0%
3 9
 
3.1%
4 2
 
0.7%
(Missing) 84
29.3%
ValueCountFrequency (%)
1 172
59.9%
2 20
 
7.0%
3 9
 
3.1%
4 2
 
0.7%
ValueCountFrequency (%)
4 2
 
0.7%
3 9
 
3.1%
2 20
 
7.0%
1 172
59.9%

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 (%)2.0%
Missing83
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean1.745098039
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:51.932704image/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 deviation0.8086511851
Coefficient of variation (CV)0.4633843869
Kurtosis-0.4369289094
Mean1.745098039
Median Absolute Deviation (MAD)1
Skewness0.7233808479
Sum356
Variance0.6539167391
MonotonicityNot monotonic
2025-02-26T17:46:51.969269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1 95
33.1%
2 70
24.4%
3 35
 
12.2%
4 4
 
1.4%
(Missing) 83
28.9%
ValueCountFrequency (%)
1 95
33.1%
2 70
24.4%
3 35
 
12.2%
4 4
 
1.4%
ValueCountFrequency (%)
4 4
 
1.4%
3 35
 
12.2%
2 70
24.4%
1 95
33.1%

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 (%)2.0%
Missing82
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2.243902439
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:52.004841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8337397383
Coefficient of variation (CV)0.3715579269
Kurtosis-0.8158421532
Mean2.243902439
Median Absolute Deviation (MAD)1
Skewness-0.0233533107
Sum460
Variance0.6951219512
MonotonicityNot monotonic
2025-02-26T17:46:52.040705image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 78
27.2%
3 75
26.1%
1 43
15.0%
4 9
 
3.1%
(Missing) 82
28.6%
ValueCountFrequency (%)
1 43
15.0%
2 78
27.2%
3 75
26.1%
4 9
 
3.1%
ValueCountFrequency (%)
4 9
 
3.1%
3 75
26.1%
2 78
27.2%
1 43
15.0%

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 (%)2.4%
Missing81
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean3.912621359
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:52.078571image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.078452334
Coefficient of variation (CV)0.2756342193
Kurtosis0.1426647097
Mean3.912621359
Median Absolute Deviation (MAD)1
Skewness-0.8850371032
Sum806
Variance1.163059436
MonotonicityNot monotonic
2025-02-26T17:46:52.120051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 73
25.4%
5 73
25.4%
3 36
12.5%
2 17
 
5.9%
1 7
 
2.4%
(Missing) 81
28.2%
ValueCountFrequency (%)
1 7
 
2.4%
2 17
 
5.9%
3 36
12.5%
4 73
25.4%
5 73
25.4%
ValueCountFrequency (%)
5 73
25.4%
4 73
25.4%
3 36
12.5%
2 17
 
5.9%
1 7
 
2.4%

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 (%)2.5%
Missing83
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean2.431372549
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:52.161053image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.140476125
Coefficient of variation (CV)0.4690667933
Kurtosis-0.6877976466
Mean2.431372549
Median Absolute Deviation (MAD)1
Skewness0.3619545787
Sum496
Variance1.300685792
MonotonicityNot monotonic
2025-02-26T17:46:52.203067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 60
20.9%
2 55
19.2%
1 53
18.5%
4 27
 
9.4%
5 9
 
3.1%
(Missing) 83
28.9%
ValueCountFrequency (%)
1 53
18.5%
2 55
19.2%
3 60
20.9%
4 27
9.4%
5 9
 
3.1%
ValueCountFrequency (%)
5 9
 
3.1%
4 27
9.4%
3 60
20.9%
2 55
19.2%
1 53
18.5%

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 (%)2.5%
Missing83
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean1.990196078
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:52.243213image/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 deviation1.403690407
Coefficient of variation (CV)0.7053025692
Kurtosis-0.5962165985
Mean1.990196078
Median Absolute Deviation (MAD)0
Skewness0.9996763709
Sum406
Variance1.970346759
MonotonicityNot monotonic
2025-02-26T17:46:52.349449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 125
43.6%
4 31
 
10.8%
2 17
 
5.9%
3 16
 
5.6%
5 15
 
5.2%
(Missing) 83
28.9%
ValueCountFrequency (%)
1 125
43.6%
2 17
 
5.9%
3 16
 
5.6%
4 31
 
10.8%
5 15
 
5.2%
ValueCountFrequency (%)
5 15
 
5.2%
4 31
 
10.8%
3 16
 
5.6%
2 17
 
5.9%
1 125
43.6%

w2_D06_1
Boolean

Imbalance 

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
265 
True
 
22
ValueCountFrequency (%)
False 265
92.3%
True 22
 
7.7%
2025-02-26T17:46:52.388543image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_2
Boolean

Imbalance 

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
259 
True
28 
ValueCountFrequency (%)
False 259
90.2%
True 28
 
9.8%
2025-02-26T17:46:52.419885image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_3
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
237 
True
50 
ValueCountFrequency (%)
False 237
82.6%
True 50
 
17.4%
2025-02-26T17:46:52.451091image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_4
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
189 
True
98 
ValueCountFrequency (%)
False 189
65.9%
True 98
34.1%
2025-02-26T17:46:52.482388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_5
Boolean

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

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size706.0 B
False
211 
True
76 
ValueCountFrequency (%)
False 211
73.5%
True 76
 
26.5%
2025-02-26T17:46:52.514503image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

w2_D06_other
Text

Missing 

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

Distinct10
Distinct (%)100.0%
Missing277
Missing (%)96.5%
Memory size2.6 KiB
2025-02-26T17:46:52.590944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length48
Median length19.5
Mean length20.4
Min length2

Characters and Unicode

Total characters204
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st rowcellulare , mentre mi alleno guardo una serie tv
2nd rowWorkout su YouTube
3rd rowpesi
4th rowattrezzatura arrampicata
5th rowtv per guardare le serie
ValueCountFrequency (%)
cellulare 2
 
6.7%
serie 2
 
6.7%
tv 2
 
6.7%
orologio 2
 
6.7%
1
 
3.3%
mentre 1
 
3.3%
mi 1
 
3.3%
alleno 1
 
3.3%
guardo 1
 
3.3%
una 1
 
3.3%
Other values (16) 16
53.3%
2025-02-26T17:46:52.724556image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 22
10.8%
e 21
10.3%
a 20
9.8%
20
9.8%
o 17
 
8.3%
i 13
 
6.4%
l 12
 
5.9%
u 11
 
5.4%
t 11
 
5.4%
m 8
 
3.9%
Other values (20) 49
24.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 204
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 22
10.8%
e 21
10.3%
a 20
9.8%
20
9.8%
o 17
 
8.3%
i 13
 
6.4%
l 12
 
5.9%
u 11
 
5.4%
t 11
 
5.4%
m 8
 
3.9%
Other values (20) 49
24.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 204
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 22
10.8%
e 21
10.3%
a 20
9.8%
20
9.8%
o 17
 
8.3%
i 13
 
6.4%
l 12
 
5.9%
u 11
 
5.4%
t 11
 
5.4%
m 8
 
3.9%
Other values (20) 49
24.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 204
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 22
10.8%
e 21
10.3%
a 20
9.8%
20
9.8%
o 17
 
8.3%
i 13
 
6.4%
l 12
 
5.9%
u 11
 
5.4%
t 11
 
5.4%
m 8
 
3.9%
Other values (20) 49
24.0%

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.

Distinct5
Distinct (%)2.4%
Missing82
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2.668292683
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:52.770024image/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 deviation1.215592937
Coefficient of variation (CV)0.455569565
Kurtosis-1.02477464
Mean2.668292683
Median Absolute Deviation (MAD)1
Skewness0.06464087634
Sum547
Variance1.477666188
MonotonicityNot monotonic
2025-02-26T17:46:52.811683image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 61
21.3%
1 48
16.7%
4 44
15.3%
2 40
13.9%
5 12
 
4.2%
(Missing) 82
28.6%
ValueCountFrequency (%)
1 48
16.7%
2 40
13.9%
3 61
21.3%
4 44
15.3%
5 12
 
4.2%
ValueCountFrequency (%)
5 12
 
4.2%
4 44
15.3%
3 61
21.3%
2 40
13.9%
1 48
16.7%

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.

Distinct5
Distinct (%)2.4%
Missing82
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean1.326829268
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:52.851695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum5
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7109177961
Coefficient of variation (CV)0.5358020155
Kurtosis6.447457354
Mean1.326829268
Median Absolute Deviation (MAD)0
Skewness2.490313001
Sum272
Variance0.5054041129
MonotonicityNot monotonic
2025-02-26T17:46:52.893152image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 160
55.7%
2 29
 
10.1%
3 11
 
3.8%
4 4
 
1.4%
5 1
 
0.3%
(Missing) 82
28.6%
ValueCountFrequency (%)
1 160
55.7%
2 29
 
10.1%
3 11
 
3.8%
4 4
 
1.4%
5 1
 
0.3%
ValueCountFrequency (%)
5 1
 
0.3%
4 4
 
1.4%
3 11
 
3.8%
2 29
 
10.1%
1 160
55.7%

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.

Distinct5
Distinct (%)2.5%
Missing83
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean2.098039216
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:52.942942image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.267321787
Coefficient of variation (CV)0.6040505712
Kurtosis-0.7766954156
Mean2.098039216
Median Absolute Deviation (MAD)1
Skewness0.7232482521
Sum428
Variance1.606104511
MonotonicityNot monotonic
2025-02-26T17:46:52.985743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 101
35.2%
3 42
14.6%
2 26
 
9.1%
4 26
 
9.1%
5 9
 
3.1%
(Missing) 83
28.9%
ValueCountFrequency (%)
1 101
35.2%
2 26
 
9.1%
3 42
14.6%
4 26
 
9.1%
5 9
 
3.1%
ValueCountFrequency (%)
5 9
 
3.1%
4 26
 
9.1%
3 42
14.6%
2 26
 
9.1%
1 101
35.2%

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.

Distinct5
Distinct (%)2.5%
Missing83
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean2.107843137
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.025779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.148199385
Coefficient of variation (CV)0.54472715
Kurtosis-0.8503373782
Mean2.107843137
Median Absolute Deviation (MAD)1
Skewness0.5756556276
Sum430
Variance1.318361827
MonotonicityNot monotonic
2025-02-26T17:46:53.065768image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 88
30.7%
3 50
17.4%
2 38
13.2%
4 24
 
8.4%
5 4
 
1.4%
(Missing) 83
28.9%
ValueCountFrequency (%)
1 88
30.7%
2 38
13.2%
3 50
17.4%
4 24
 
8.4%
5 4
 
1.4%
ValueCountFrequency (%)
5 4
 
1.4%
4 24
 
8.4%
3 50
17.4%
2 38
13.2%
1 88
30.7%

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.

Distinct5
Distinct (%)2.4%
Missing82
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean2.048780488
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.106235image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.235726735
Coefficient of variation (CV)0.6031523351
Kurtosis-0.3905483445
Mean2.048780488
Median Absolute Deviation (MAD)1
Skewness0.8824745366
Sum420
Variance1.527020564
MonotonicityNot monotonic
2025-02-26T17:46:53.146902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 99
34.5%
2 39
 
13.6%
3 35
 
12.2%
4 22
 
7.7%
5 10
 
3.5%
(Missing) 82
28.6%
ValueCountFrequency (%)
1 99
34.5%
2 39
 
13.6%
3 35
 
12.2%
4 22
 
7.7%
5 10
 
3.5%
ValueCountFrequency (%)
5 10
 
3.5%
4 22
 
7.7%
3 35
 
12.2%
2 39
 
13.6%
1 99
34.5%

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 (%)0.7%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.762411348
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.188772image/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 deviation0.4263624187
Coefficient of variation (CV)0.2419199237
Kurtosis-0.4664447988
Mean1.762411348
Median Absolute Deviation (MAD)0
Skewness-1.239723309
Sum497
Variance0.181784912
MonotonicityNot monotonic
2025-02-26T17:46:53.225962image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 215
74.9%
1 67
 
23.3%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
1 67
 
23.3%
2 215
74.9%
ValueCountFrequency (%)
2 215
74.9%
1 67
 
23.3%

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 (%)0.7%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean1.737588652
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.262040image/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 deviation0.4407271583
Coefficient of variation (CV)0.2536429768
Kurtosis-0.8268056241
Mean1.737588652
Median Absolute Deviation (MAD)0
Skewness-1.085867797
Sum490
Variance0.1942404281
MonotonicityNot monotonic
2025-02-26T17:46:53.299909image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 208
72.5%
1 74
 
25.8%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
1 74
 
25.8%
2 208
72.5%
ValueCountFrequency (%)
2 208
72.5%
1 74
 
25.8%

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 (%)0.7%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean1.907142857
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.336111image/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 deviation0.290751802
Coefficient of variation (CV)0.1524541284
Kurtosis5.999545718
Mean1.907142857
Median Absolute Deviation (MAD)0
Skewness-2.82076974
Sum534
Variance0.08453661034
MonotonicityNot monotonic
2025-02-26T17:46:53.374411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 254
88.5%
1 26
 
9.1%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 26
 
9.1%
2 254
88.5%
ValueCountFrequency (%)
2 254
88.5%
1 26
 
9.1%

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 (%)0.7%
Missing6
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.850533808
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.411110image/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 deviation0.3571835259
Coefficient of variation (CV)0.1930164823
Kurtosis1.921505581
Mean1.850533808
Median Absolute Deviation (MAD)0
Skewness-1.976835825
Sum520
Variance0.1275800712
MonotonicityNot monotonic
2025-02-26T17:46:53.448789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 239
83.3%
1 42
 
14.6%
(Missing) 6
 
2.1%
ValueCountFrequency (%)
1 42
 
14.6%
2 239
83.3%
ValueCountFrequency (%)
2 239
83.3%
1 42
 
14.6%

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 (%)0.7%
Missing6
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.943060498
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.486393image/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 deviation0.232140413
Coefficient of variation (CV)0.1194715312
Kurtosis12.87205586
Mean1.943060498
Median Absolute Deviation (MAD)0
Skewness-3.844540065
Sum546
Variance0.05388917133
MonotonicityNot monotonic
2025-02-26T17:46:53.523894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 265
92.3%
1 16
 
5.6%
(Missing) 6
 
2.1%
ValueCountFrequency (%)
1 16
 
5.6%
2 265
92.3%
ValueCountFrequency (%)
2 265
92.3%
1 16
 
5.6%

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 (%)0.7%
Missing6
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1.690391459
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.560650image/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 deviation0.463157089
Coefficient of variation (CV)0.2739939832
Kurtosis-1.32382325
Mean1.690391459
Median Absolute Deviation (MAD)0
Skewness-0.8280398896
Sum475
Variance0.2145144891
MonotonicityNot monotonic
2025-02-26T17:46:53.598546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 194
67.6%
1 87
30.3%
(Missing) 6
 
2.1%
ValueCountFrequency (%)
1 87
30.3%
2 194
67.6%
ValueCountFrequency (%)
2 194
67.6%
1 87
30.3%

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.

Distinct4
Distinct (%)1.4%
Missing6
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean3.192170819
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.633002image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7550373118
Coefficient of variation (CV)0.2365278535
Kurtosis0.3122676397
Mean3.192170819
Median Absolute Deviation (MAD)1
Skewness-0.7355528513
Sum897
Variance0.5700813421
MonotonicityNot monotonic
2025-02-26T17:46:53.671643image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 135
47.0%
4 104
36.2%
2 34
 
11.8%
1 8
 
2.8%
(Missing) 6
 
2.1%
ValueCountFrequency (%)
1 8
 
2.8%
2 34
 
11.8%
3 135
47.0%
4 104
36.2%
ValueCountFrequency (%)
4 104
36.2%
3 135
47.0%
2 34
 
11.8%
1 8
 
2.8%

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.

Distinct4
Distinct (%)1.4%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2.482142857
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.708848image/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 deviation0.8250354924
Coefficient of variation (CV)0.3323883998
Kurtosis-0.5581154626
Mean2.482142857
Median Absolute Deviation (MAD)1
Skewness-0.3668885385
Sum695
Variance0.6806835637
MonotonicityNot monotonic
2025-02-26T17:46:53.746714image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 138
48.1%
2 82
28.6%
1 41
 
14.3%
4 19
 
6.6%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 41
 
14.3%
2 82
28.6%
3 138
48.1%
4 19
 
6.6%
ValueCountFrequency (%)
4 19
 
6.6%
3 138
48.1%
2 82
28.6%
1 41
 
14.3%

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.

Distinct4
Distinct (%)1.4%
Missing6
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean2.487544484
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.784492image/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 deviation0.9106638193
Coefficient of variation (CV)0.366089461
Kurtosis-0.7999534517
Mean2.487544484
Median Absolute Deviation (MAD)1
Skewness-0.148590994
Sum699
Variance0.8293085918
MonotonicityNot monotonic
2025-02-26T17:46:53.821787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 116
40.4%
2 84
29.3%
1 47
16.4%
4 34
 
11.8%
(Missing) 6
 
2.1%
ValueCountFrequency (%)
1 47
16.4%
2 84
29.3%
3 116
40.4%
4 34
 
11.8%
ValueCountFrequency (%)
4 34
 
11.8%
3 116
40.4%
2 84
29.3%
1 47
16.4%

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.

Distinct4
Distinct (%)1.4%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2.992857143
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.858894image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q33
95-th percentile4
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7183855713
Coefficient of variation (CV)0.2400333651
Kurtosis1.061670977
Mean2.992857143
Median Absolute Deviation (MAD)0
Skewness-0.7489354585
Sum838
Variance0.516077829
MonotonicityNot monotonic
2025-02-26T17:46:53.897700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 175
61.0%
4 58
 
20.2%
2 34
 
11.8%
1 13
 
4.5%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 13
 
4.5%
2 34
 
11.8%
3 175
61.0%
4 58
 
20.2%
ValueCountFrequency (%)
4 58
 
20.2%
3 175
61.0%
2 34
 
11.8%
1 13
 
4.5%

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.

Distinct4
Distinct (%)1.4%
Missing7
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2.632142857
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:53.934609image/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 deviation0.9101394479
Coefficient of variation (CV)0.3457788947
Kurtosis-0.6959077736
Mean2.632142857
Median Absolute Deviation (MAD)1
Skewness-0.2682188894
Sum737
Variance0.8283538146
MonotonicityNot monotonic
2025-02-26T17:46:53.972678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 122
42.5%
2 75
26.1%
4 46
 
16.0%
1 37
 
12.9%
(Missing) 7
 
2.4%
ValueCountFrequency (%)
1 37
 
12.9%
2 75
26.1%
3 122
42.5%
4 46
 
16.0%
ValueCountFrequency (%)
4 46
 
16.0%
3 122
42.5%
2 75
26.1%
1 37
 
12.9%

w2_F02_1
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.600719424
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.010487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.7126496451
Coefficient of variation (CV)0.4452058457
Kurtosis-0.6944774734
Mean1.600719424
Median Absolute Deviation (MAD)0
Skewness0.7556034398
Sum445
Variance0.5078695167
MonotonicityNot monotonic
2025-02-26T17:46:54.052645image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 148
51.6%
2 93
32.4%
3 37
 
12.9%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 148
51.6%
2 93
32.4%
3 37
 
12.9%
ValueCountFrequency (%)
3 37
 
12.9%
2 93
32.4%
1 148
51.6%

w2_F02_2
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2.097122302
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.093147image/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 deviation0.8158574985
Coefficient of variation (CV)0.3890366803
Kurtosis-1.475516045
Mean2.097122302
Median Absolute Deviation (MAD)1
Skewness-0.1806319161
Sum583
Variance0.6656234579
MonotonicityNot monotonic
2025-02-26T17:46:54.133426image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 107
37.3%
2 91
31.7%
1 80
27.9%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 80
27.9%
2 91
31.7%
3 107
37.3%
ValueCountFrequency (%)
3 107
37.3%
2 91
31.7%
1 80
27.9%

w2_F02_3
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2.316546763
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.173951image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7213702487
Coefficient of variation (CV)0.3113989583
Kurtosis-0.9127833774
Mean2.316546763
Median Absolute Deviation (MAD)1
Skewness-0.5589547769
Sum644
Variance0.5203750357
MonotonicityNot monotonic
2025-02-26T17:46:54.215332image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 130
45.3%
2 106
36.9%
1 42
 
14.6%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 42
 
14.6%
2 106
36.9%
3 130
45.3%
ValueCountFrequency (%)
3 130
45.3%
2 106
36.9%
1 42
 
14.6%

w2_F02_4
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.737410072
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.255523image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8102032888
Coefficient of variation (CV)0.4663281869
Kurtosis-1.290355584
Mean1.737410072
Median Absolute Deviation (MAD)1
Skewness0.5146617995
Sum483
Variance0.6564293691
MonotonicityNot monotonic
2025-02-26T17:46:54.297906image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 137
47.7%
2 77
26.8%
3 64
22.3%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 137
47.7%
2 77
26.8%
3 64
22.3%
ValueCountFrequency (%)
3 64
22.3%
2 77
26.8%
1 137
47.7%

w2_F02_5
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.985611511
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.338336image/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 deviation0.8104516859
Coefficient of variation (CV)0.4081622621
Kurtosis-1.476513244
Mean1.985611511
Median Absolute Deviation (MAD)1
Skewness0.02632921868
Sum552
Variance0.6568319352
MonotonicityNot monotonic
2025-02-26T17:46:54.379402image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 96
33.4%
1 93
32.4%
3 89
31.0%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 93
32.4%
2 96
33.4%
3 89
31.0%
ValueCountFrequency (%)
3 89
31.0%
2 96
33.4%
1 93
32.4%

w2_F02_6
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2.107913669
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.419164image/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 deviation0.8639648967
Coefficient of variation (CV)0.4098673059
Kurtosis-1.631631431
Mean2.107913669
Median Absolute Deviation (MAD)1
Skewness-0.2102440982
Sum586
Variance0.7464353427
MonotonicityNot monotonic
2025-02-26T17:46:54.460936image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 120
41.8%
1 90
31.4%
2 68
23.7%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 90
31.4%
2 68
23.7%
3 120
41.8%
ValueCountFrequency (%)
3 120
41.8%
2 68
23.7%
1 90
31.4%

w2_F02_7
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.525179856
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.501165image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.6396178377
Coefficient of variation (CV)0.4193720729
Kurtosis-0.366101922
Mean1.525179856
Median Absolute Deviation (MAD)0
Skewness0.8224450464
Sum424
Variance0.4091109784
MonotonicityNot monotonic
2025-02-26T17:46:54.542172image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 154
53.7%
2 102
35.5%
3 22
 
7.7%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 154
53.7%
2 102
35.5%
3 22
 
7.7%
ValueCountFrequency (%)
3 22
 
7.7%
2 102
35.5%
1 154
53.7%

w2_F02_8
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.647482014
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.584217image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.7867431322
Coefficient of variation (CV)0.4775427745
Kurtosis-1.024763964
Mean1.647482014
Median Absolute Deviation (MAD)0
Skewness0.7131119731
Sum458
Variance0.618964756
MonotonicityNot monotonic
2025-02-26T17:46:54.626371image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 152
53.0%
2 72
25.1%
3 54
 
18.8%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 152
53.0%
2 72
25.1%
3 54
 
18.8%
ValueCountFrequency (%)
3 54
 
18.8%
2 72
25.1%
1 152
53.0%

w2_F02_9
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.809352518
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.667814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7991323893
Coefficient of variation (CV)0.4416676028
Kurtosis-1.347859255
Mean1.809352518
Median Absolute Deviation (MAD)1
Skewness0.3569783786
Sum503
Variance0.6386125756
MonotonicityNot monotonic
2025-02-26T17:46:54.775497image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 120
41.8%
2 91
31.7%
3 67
23.3%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 120
41.8%
2 91
31.7%
3 67
23.3%
ValueCountFrequency (%)
3 67
23.3%
2 91
31.7%
1 120
41.8%

w2_F02_10
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.097472924
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.815605image/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 deviation0.8039040407
Coefficient of variation (CV)0.3832726666
Kurtosis-1.43070433
Mean2.097472924
Median Absolute Deviation (MAD)1
Skewness-0.1785299658
Sum581
Variance0.6462617067
MonotonicityNot monotonic
2025-02-26T17:46:54.856293image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 104
36.2%
2 96
33.4%
1 77
26.8%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 77
26.8%
2 96
33.4%
3 104
36.2%
ValueCountFrequency (%)
3 104
36.2%
2 96
33.4%
1 77
26.8%

w2_F02_11
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2.071942446
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.895863image/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 deviation0.8206740891
Coefficient of variation (CV)0.3960892305
Kurtosis-1.503292848
Mean2.071942446
Median Absolute Deviation (MAD)1
Skewness-0.1339994637
Sum576
Variance0.6735059606
MonotonicityNot monotonic
2025-02-26T17:46:54.936692image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 104
36.2%
2 90
31.4%
1 84
29.3%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 84
29.3%
2 90
31.4%
3 104
36.2%
ValueCountFrequency (%)
3 104
36.2%
2 90
31.4%
1 84
29.3%

w2_F02_12
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.830935252
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:54.976277image/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 deviation0.8603876988
Coefficient of variation (CV)0.4699170535
Kurtosis-1.571473881
Mean1.830935252
Median Absolute Deviation (MAD)1
Skewness0.3331051502
Sum509
Variance0.7402669922
MonotonicityNot monotonic
2025-02-26T17:46:55.017745image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 130
45.3%
3 83
28.9%
2 65
22.6%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 130
45.3%
2 65
22.6%
3 83
28.9%
ValueCountFrequency (%)
3 83
28.9%
2 65
22.6%
1 130
45.3%

w2_F02_13
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.95323741
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.057839image/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 deviation0.8673626699
Coefficient of variation (CV)0.4440641294
Kurtosis-1.668474829
Mean1.95323741
Median Absolute Deviation (MAD)1
Skewness0.09062794545
Sum543
Variance0.7523180012
MonotonicityNot monotonic
2025-02-26T17:46:55.099461image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 111
38.7%
3 98
34.1%
2 69
24.0%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 111
38.7%
2 69
24.0%
3 98
34.1%
ValueCountFrequency (%)
3 98
34.1%
2 69
24.0%
1 111
38.7%

w2_F02_14
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.555956679
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.140715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.7182473421
Coefficient of variation (CV)0.4616114009
Kurtosis-0.5384273865
Mean1.555956679
Median Absolute Deviation (MAD)0
Skewness0.895566224
Sum431
Variance0.5158792445
MonotonicityNot monotonic
2025-02-26T17:46:55.181547image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 160
55.7%
2 80
27.9%
3 37
 
12.9%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 160
55.7%
2 80
27.9%
3 37
 
12.9%
ValueCountFrequency (%)
3 37
 
12.9%
2 80
27.9%
1 160
55.7%

w2_F02_15
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.636690647
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.222908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.7607372336
Coefficient of variation (CV)0.46480209
Kurtosis-0.9210677855
Mean1.636690647
Median Absolute Deviation (MAD)0
Skewness0.7190120706
Sum455
Variance0.5787211386
MonotonicityNot monotonic
2025-02-26T17:46:55.264305image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 149
51.9%
2 81
28.2%
3 48
 
16.7%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 149
51.9%
2 81
28.2%
3 48
 
16.7%
ValueCountFrequency (%)
3 48
 
16.7%
2 81
28.2%
1 149
51.9%

w2_F02_16
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2.010791367
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.304644image/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 deviation0.757555507
Coefficient of variation (CV)0.376744957
Kurtosis-1.251961459
Mean2.010791367
Median Absolute Deviation (MAD)1
Skewness-0.01795563517
Sum559
Variance0.5738903462
MonotonicityNot monotonic
2025-02-26T17:46:55.346331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 119
41.5%
3 81
28.2%
1 78
27.2%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 78
27.2%
2 119
41.5%
3 81
28.2%
ValueCountFrequency (%)
3 81
28.2%
2 119
41.5%
1 78
27.2%

w2_F02_17
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2.039568345
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.386298image/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 deviation0.8250691869
Coefficient of variation (CV)0.4045312768
Kurtosis-1.527885554
Mean2.039568345
Median Absolute Deviation (MAD)1
Skewness-0.07381089128
Sum567
Variance0.6807391632
MonotonicityNot monotonic
2025-02-26T17:46:55.427398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 100
34.8%
1 89
31.0%
2 89
31.0%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 89
31.0%
2 89
31.0%
3 100
34.8%
ValueCountFrequency (%)
3 100
34.8%
2 89
31.0%
1 89
31.0%

w2_F02_18
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.276978417
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.467059image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5363086221
Coefficient of variation (CV)0.4199825266
Kurtosis2.385431716
Mean1.276978417
Median Absolute Deviation (MAD)0
Skewness1.81251357
Sum355
Variance0.2876269382
MonotonicityNot monotonic
2025-02-26T17:46:55.507207image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 213
74.2%
2 53
 
18.5%
3 12
 
4.2%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 213
74.2%
2 53
 
18.5%
3 12
 
4.2%
ValueCountFrequency (%)
3 12
 
4.2%
2 53
 
18.5%
1 213
74.2%

w2_F02_19
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean1.582733813
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.546035image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.714969193
Coefficient of variation (CV)0.4517305356
Kurtosis-0.6384300038
Mean1.582733813
Median Absolute Deviation (MAD)0
Skewness0.8103528409
Sum440
Variance0.5111809469
MonotonicityNot monotonic
2025-02-26T17:46:55.586651image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 153
53.3%
2 88
30.7%
3 37
 
12.9%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 153
53.3%
2 88
30.7%
3 37
 
12.9%
ValueCountFrequency (%)
3 37
 
12.9%
2 88
30.7%
1 153
53.3%

w2_F02_20
Real number (ℝ)

Missing 

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

Distinct3
Distinct (%)1.1%
Missing9
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean2.395683453
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.627178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median2
Q33
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5777924507
Coefficient of variation (CV)0.2411806326
Kurtosis-0.7417520925
Mean2.395683453
Median Absolute Deviation (MAD)0
Skewness-0.3203670008
Sum666
Variance0.333844116
MonotonicityNot monotonic
2025-02-26T17:46:55.668365image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 142
49.5%
3 123
42.9%
1 13
 
4.5%
(Missing) 9
 
3.1%
ValueCountFrequency (%)
1 13
 
4.5%
2 142
49.5%
3 123
42.9%
ValueCountFrequency (%)
3 123
42.9%
2 142
49.5%
1 13
 
4.5%

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 (%)2.5%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.718411552
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.708949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.419374353
Coefficient of variation (CV)0.5221337262
Kurtosis2.445904334
Mean2.718411552
Median Absolute Deviation (MAD)1
Skewness1.189374668
Sum753
Variance2.014623555
MonotonicityNot monotonic
2025-02-26T17:46:55.747367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 78
27.2%
3 74
25.8%
1 56
19.5%
4 47
16.4%
5 13
 
4.5%
8 6
 
2.1%
6 3
 
1.0%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 56
19.5%
2 78
27.2%
3 74
25.8%
4 47
16.4%
5 13
 
4.5%
ValueCountFrequency (%)
8 6
 
2.1%
6 3
 
1.0%
5 13
 
4.5%
4 47
16.4%
3 74
25.8%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean4.386281588
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.784457image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q36
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.356236093
Coefficient of variation (CV)0.3091995044
Kurtosis-0.4863631696
Mean4.386281588
Median Absolute Deviation (MAD)1
Skewness-0.2447151106
Sum1215
Variance1.839376341
MonotonicityNot monotonic
2025-02-26T17:46:55.823459image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 78
27.2%
6 65
22.6%
5 58
20.2%
3 45
15.7%
2 20
 
7.0%
1 5
 
1.7%
7 5
 
1.7%
8 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 5
 
1.7%
2 20
 
7.0%
3 45
15.7%
4 78
27.2%
5 58
20.2%
ValueCountFrequency (%)
8 1
 
0.3%
7 5
 
1.7%
6 65
22.6%
5 58
20.2%
4 78
27.2%

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.

Distinct8
Distinct (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.833935018
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.860844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.207406207
Coefficient of variation (CV)0.6583691327
Kurtosis5.700458366
Mean1.833935018
Median Absolute Deviation (MAD)0
Skewness2.101827117
Sum508
Variance1.457829749
MonotonicityNot monotonic
2025-02-26T17:46:55.901563image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 148
51.6%
2 68
23.7%
3 42
 
14.6%
4 8
 
2.8%
5 5
 
1.7%
7 3
 
1.0%
6 2
 
0.7%
8 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 148
51.6%
2 68
23.7%
3 42
 
14.6%
4 8
 
2.8%
5 5
 
1.7%
ValueCountFrequency (%)
8 1
 
0.3%
7 3
 
1.0%
6 2
 
0.7%
5 5
1.7%
4 8
2.8%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean3.202166065
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:55.940096image/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 deviation1.530698785
Coefficient of variation (CV)0.4780198009
Kurtosis0.1071476789
Mean3.202166065
Median Absolute Deviation (MAD)1
Skewness0.5530567919
Sum887
Variance2.343038769
MonotonicityNot monotonic
2025-02-26T17:46:55.980691image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 75
26.1%
4 59
20.6%
2 54
18.8%
1 40
13.9%
5 25
 
8.7%
6 18
 
6.3%
8 3
 
1.0%
7 3
 
1.0%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 40
13.9%
2 54
18.8%
3 75
26.1%
4 59
20.6%
5 25
 
8.7%
ValueCountFrequency (%)
8 3
 
1.0%
7 3
 
1.0%
6 18
 
6.3%
5 25
8.7%
4 59
20.6%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.866425993
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.019203image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5.2
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.429576001
Coefficient of variation (CV)0.4987311741
Kurtosis1.499926845
Mean2.866425993
Median Absolute Deviation (MAD)1
Skewness1.001435529
Sum794
Variance2.043687543
MonotonicityNot monotonic
2025-02-26T17:46:56.057364image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 78
27.2%
2 77
26.8%
4 48
16.7%
1 45
15.7%
5 15
 
5.2%
6 8
 
2.8%
8 4
 
1.4%
7 2
 
0.7%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 45
15.7%
2 77
26.8%
3 78
27.2%
4 48
16.7%
5 15
 
5.2%
ValueCountFrequency (%)
8 4
 
1.4%
7 2
 
0.7%
6 8
 
2.8%
5 15
 
5.2%
4 48
16.7%

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

Distinct8
Distinct (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.407942238
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.095595image/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 deviation1.31173981
Coefficient of variation (CV)0.5447555134
Kurtosis1.74389445
Mean2.407942238
Median Absolute Deviation (MAD)1
Skewness1.046156898
Sum667
Variance1.72066133
MonotonicityNot monotonic
2025-02-26T17:46:56.133836image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 85
29.6%
3 75
26.1%
2 69
24.0%
4 31
 
10.8%
5 12
 
4.2%
8 2
 
0.7%
6 2
 
0.7%
7 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 85
29.6%
2 69
24.0%
3 75
26.1%
4 31
 
10.8%
5 12
 
4.2%
ValueCountFrequency (%)
8 2
 
0.7%
7 1
 
0.3%
6 2
 
0.7%
5 12
 
4.2%
4 31
10.8%

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 (%)2.9%
Missing11
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean3.460144928
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.171976image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.647655739
Coefficient of variation (CV)0.476181135
Kurtosis-0.199130232
Mean3.460144928
Median Absolute Deviation (MAD)1
Skewness0.5056903329
Sum955
Variance2.714769433
MonotonicityNot monotonic
2025-02-26T17:46:56.211271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 62
21.6%
3 58
20.2%
4 56
19.5%
5 37
12.9%
1 29
10.1%
6 25
8.7%
8 6
 
2.1%
7 3
 
1.0%
(Missing) 11
 
3.8%
ValueCountFrequency (%)
1 29
10.1%
2 62
21.6%
3 58
20.2%
4 56
19.5%
5 37
12.9%
ValueCountFrequency (%)
8 6
 
2.1%
7 3
 
1.0%
6 25
8.7%
5 37
12.9%
4 56
19.5%

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

Distinct8
Distinct (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.050541516
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.249978image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.065418913
Coefficient of variation (CV)0.5195792936
Kurtosis6.388874019
Mean2.050541516
Median Absolute Deviation (MAD)1
Skewness1.890475771
Sum568
Variance1.135117459
MonotonicityNot monotonic
2025-02-26T17:46:56.290072image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 120
41.8%
1 88
30.7%
3 52
18.1%
4 9
 
3.1%
5 4
 
1.4%
7 2
 
0.7%
6 1
 
0.3%
8 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 88
30.7%
2 120
41.8%
3 52
18.1%
4 9
 
3.1%
5 4
 
1.4%
ValueCountFrequency (%)
8 1
 
0.3%
7 2
 
0.7%
6 1
 
0.3%
5 4
1.4%
4 9
3.1%

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 (%)2.9%
Missing11
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean3.710144928
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.332245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6.25
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.584942321
Coefficient of variation (CV)0.4271914849
Kurtosis0.1483357335
Mean3.710144928
Median Absolute Deviation (MAD)1
Skewness0.5790696661
Sum1024
Variance2.512042161
MonotonicityNot monotonic
2025-02-26T17:46:56.373767image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 69
24.0%
3 68
23.7%
2 50
17.4%
5 37
12.9%
6 23
 
8.0%
1 15
 
5.2%
8 8
 
2.8%
7 6
 
2.1%
(Missing) 11
 
3.8%
ValueCountFrequency (%)
1 15
 
5.2%
2 50
17.4%
3 68
23.7%
4 69
24.0%
5 37
12.9%
ValueCountFrequency (%)
8 8
 
2.8%
7 6
 
2.1%
6 23
 
8.0%
5 37
12.9%
4 69
24.0%

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

Distinct8
Distinct (%)2.9%
Missing11
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean2.949275362
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.412684image/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 deviation1.443845692
Coefficient of variation (CV)0.4895594729
Kurtosis2.079224547
Mean2.949275362
Median Absolute Deviation (MAD)1
Skewness1.228211993
Sum814
Variance2.084690382
MonotonicityNot monotonic
2025-02-26T17:46:56.451991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 94
32.8%
2 78
27.2%
4 41
14.3%
1 34
 
11.8%
6 10
 
3.5%
5 10
 
3.5%
8 5
 
1.7%
7 4
 
1.4%
(Missing) 11
 
3.8%
ValueCountFrequency (%)
1 34
 
11.8%
2 78
27.2%
3 94
32.8%
4 41
14.3%
5 10
 
3.5%
ValueCountFrequency (%)
8 5
 
1.7%
7 4
 
1.4%
6 10
 
3.5%
5 10
 
3.5%
4 41
14.3%

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

Distinct8
Distinct (%)2.9%
Missing11
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean1.985507246
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.489667image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.184662635
Coefficient of variation (CV)0.596654904
Kurtosis6.103836646
Mean1.985507246
Median Absolute Deviation (MAD)1
Skewness1.997763757
Sum548
Variance1.40342556
MonotonicityNot monotonic
2025-02-26T17:46:56.528622image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 114
39.7%
2 94
32.8%
3 46
16.0%
4 13
 
4.5%
5 4
 
1.4%
7 2
 
0.7%
8 2
 
0.7%
6 1
 
0.3%
(Missing) 11
 
3.8%
ValueCountFrequency (%)
1 114
39.7%
2 94
32.8%
3 46
16.0%
4 13
 
4.5%
5 4
 
1.4%
ValueCountFrequency (%)
8 2
 
0.7%
7 2
 
0.7%
6 1
 
0.3%
5 4
 
1.4%
4 13
4.5%

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

Distinct8
Distinct (%)2.9%
Missing11
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean2.221014493
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.567419image/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 deviation1.298275942
Coefficient of variation (CV)0.5845418597
Kurtosis4.745487304
Mean2.221014493
Median Absolute Deviation (MAD)1
Skewness1.792204602
Sum613
Variance1.685520422
MonotonicityNot monotonic
2025-02-26T17:46:56.605697image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 94
32.8%
1 90
31.4%
3 64
22.3%
4 13
 
4.5%
5 8
 
2.8%
8 3
 
1.0%
7 3
 
1.0%
6 1
 
0.3%
(Missing) 11
 
3.8%
ValueCountFrequency (%)
1 90
31.4%
2 94
32.8%
3 64
22.3%
4 13
 
4.5%
5 8
 
2.8%
ValueCountFrequency (%)
8 3
 
1.0%
7 3
 
1.0%
6 1
 
0.3%
5 8
2.8%
4 13
4.5%

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

Distinct8
Distinct (%)2.9%
Missing11
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean3.144927536
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.644012image/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 deviation1.506595076
Coefficient of variation (CV)0.4790555771
Kurtosis-0.3050338606
Mean3.144927536
Median Absolute Deviation (MAD)1
Skewness0.43890797
Sum868
Variance2.269828722
MonotonicityNot monotonic
2025-02-26T17:46:56.685287image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 68
23.7%
4 60
20.9%
3 56
19.5%
1 40
13.9%
5 33
11.5%
6 16
 
5.6%
8 2
 
0.7%
7 1
 
0.3%
(Missing) 11
 
3.8%
ValueCountFrequency (%)
1 40
13.9%
2 68
23.7%
3 56
19.5%
4 60
20.9%
5 33
11.5%
ValueCountFrequency (%)
8 2
 
0.7%
7 1
 
0.3%
6 16
 
5.6%
5 33
11.5%
4 60
20.9%

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

Distinct8
Distinct (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean3.23465704
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.723954image/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 deviation1.746370244
Coefficient of variation (CV)0.5398934796
Kurtosis0.5695911138
Mean3.23465704
Median Absolute Deviation (MAD)1
Skewness0.8941107131
Sum896
Variance3.049809031
MonotonicityNot monotonic
2025-02-26T17:46:56.764990image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 67
23.3%
2 63
22.0%
4 49
17.1%
1 43
15.0%
5 27
9.4%
6 13
 
4.5%
8 12
 
4.2%
7 3
 
1.0%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 43
15.0%
2 63
22.0%
3 67
23.3%
4 49
17.1%
5 27
9.4%
ValueCountFrequency (%)
8 12
 
4.2%
7 3
 
1.0%
6 13
 
4.5%
5 27
9.4%
4 49
17.1%

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

Distinct8
Distinct (%)2.9%
Missing11
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean3.684782609
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.803835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.461725116
Coefficient of variation (CV)0.396692362
Kurtosis0.1339593993
Mean3.684782609
Median Absolute Deviation (MAD)1
Skewness0.3275514838
Sum1017
Variance2.136640316
MonotonicityNot monotonic
2025-02-26T17:46:56.908264image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 80
27.9%
3 68
23.7%
5 41
14.3%
2 39
13.6%
6 22
 
7.7%
1 18
 
6.3%
7 4
 
1.4%
8 4
 
1.4%
(Missing) 11
 
3.8%
ValueCountFrequency (%)
1 18
 
6.3%
2 39
13.6%
3 68
23.7%
4 80
27.9%
5 41
14.3%
ValueCountFrequency (%)
8 4
 
1.4%
7 4
 
1.4%
6 22
 
7.7%
5 41
14.3%
4 80
27.9%

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

Distinct8
Distinct (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.844765343
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:56.945742image/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 deviation1.546764868
Coefficient of variation (CV)0.5437231833
Kurtosis1.32544907
Mean2.844765343
Median Absolute Deviation (MAD)1
Skewness1.102130165
Sum788
Variance2.392481557
MonotonicityNot monotonic
2025-02-26T17:46:56.984578image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 86
30.0%
3 58
20.2%
4 53
18.5%
1 51
17.8%
6 11
 
3.8%
5 9
 
3.1%
8 5
 
1.7%
7 4
 
1.4%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 51
17.8%
2 86
30.0%
3 58
20.2%
4 53
18.5%
5 9
 
3.1%
ValueCountFrequency (%)
8 5
 
1.7%
7 4
 
1.4%
6 11
 
3.8%
5 9
 
3.1%
4 53
18.5%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean3.703971119
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.021835image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.51529118
Coefficient of variation (CV)0.4090990809
Kurtosis-0.2229722731
Mean3.703971119
Median Absolute Deviation (MAD)1
Skewness0.2286570783
Sum1026
Variance2.296107361
MonotonicityNot monotonic
2025-02-26T17:46:57.059949image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 79
27.5%
3 72
25.1%
6 37
12.9%
2 32
11.1%
5 28
 
9.8%
1 23
 
8.0%
8 3
 
1.0%
7 3
 
1.0%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 23
 
8.0%
2 32
11.1%
3 72
25.1%
4 79
27.5%
5 28
 
9.8%
ValueCountFrequency (%)
8 3
 
1.0%
7 3
 
1.0%
6 37
12.9%
5 28
 
9.8%
4 79
27.5%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.888086643
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.097942image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.144505915
Coefficient of variation (CV)0.6061723489
Kurtosis7.961279734
Mean1.888086643
Median Absolute Deviation (MAD)1
Skewness2.309639361
Sum523
Variance1.30989379
MonotonicityNot monotonic
2025-02-26T17:46:57.137191image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 123
42.9%
2 98
34.1%
3 40
 
13.9%
4 7
 
2.4%
5 4
 
1.4%
7 2
 
0.7%
8 2
 
0.7%
6 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 123
42.9%
2 98
34.1%
3 40
 
13.9%
4 7
 
2.4%
5 4
 
1.4%
ValueCountFrequency (%)
8 2
 
0.7%
7 2
 
0.7%
6 1
 
0.3%
5 4
1.4%
4 7
2.4%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.003610108
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.176058image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.187184573
Coefficient of variation (CV)0.5925227507
Kurtosis4.44817031
Mean2.003610108
Median Absolute Deviation (MAD)1
Skewness1.759714318
Sum555
Variance1.40940721
MonotonicityNot monotonic
2025-02-26T17:46:57.215282image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 115
40.1%
2 90
31.4%
3 48
16.7%
4 14
 
4.9%
5 4
 
1.4%
6 3
 
1.0%
7 2
 
0.7%
8 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 115
40.1%
2 90
31.4%
3 48
16.7%
4 14
 
4.9%
5 4
 
1.4%
ValueCountFrequency (%)
8 1
 
0.3%
7 2
 
0.7%
6 3
 
1.0%
5 4
 
1.4%
4 14
4.9%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean5.025270758
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.254797image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q36
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.542658049
Coefficient of variation (CV)0.306980086
Kurtosis0.29939349
Mean5.025270758
Median Absolute Deviation (MAD)1
Skewness-0.8477660786
Sum1392
Variance2.379793858
MonotonicityNot monotonic
2025-02-26T17:46:57.294146image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 120
41.8%
5 44
 
15.3%
4 44
 
15.3%
3 23
 
8.0%
7 18
 
6.3%
2 11
 
3.8%
1 11
 
3.8%
8 6
 
2.1%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 11
 
3.8%
2 11
 
3.8%
3 23
8.0%
4 44
15.3%
5 44
15.3%
ValueCountFrequency (%)
8 6
 
2.1%
7 18
 
6.3%
6 120
41.8%
5 44
 
15.3%
4 44
 
15.3%

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 (%)2.5%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.350180505
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.332146image/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 deviation1.358057664
Coefficient of variation (CV)0.5778524931
Kurtosis2.174018821
Mean2.350180505
Median Absolute Deviation (MAD)1
Skewness1.224450483
Sum651
Variance1.844320619
MonotonicityNot monotonic
2025-02-26T17:46:57.370726image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 93
32.4%
2 73
25.4%
3 61
21.3%
4 34
 
11.8%
5 9
 
3.1%
6 4
 
1.4%
8 3
 
1.0%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 93
32.4%
2 73
25.4%
3 61
21.3%
4 34
 
11.8%
5 9
 
3.1%
ValueCountFrequency (%)
8 3
 
1.0%
6 4
 
1.4%
5 9
 
3.1%
4 34
11.8%
3 61
21.3%

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 (%)2.5%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.906137184
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.407823image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.041806484
Coefficient of variation (CV)0.5465537802
Kurtosis6.991477042
Mean1.906137184
Median Absolute Deviation (MAD)1
Skewness1.951334559
Sum528
Variance1.085360749
MonotonicityNot monotonic
2025-02-26T17:46:57.447257image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 114
39.7%
2 102
35.5%
3 45
 
15.7%
4 12
 
4.2%
7 2
 
0.7%
5 1
 
0.3%
8 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 114
39.7%
2 102
35.5%
3 45
 
15.7%
4 12
 
4.2%
5 1
 
0.3%
ValueCountFrequency (%)
8 1
 
0.3%
7 2
 
0.7%
5 1
 
0.3%
4 12
 
4.2%
3 45
15.7%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.180505415
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.485156image/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 deviation1.303527446
Coefficient of variation (CV)0.5978097723
Kurtosis3.46806034
Mean2.180505415
Median Absolute Deviation (MAD)1
Skewness1.608833903
Sum604
Variance1.699183802
MonotonicityNot monotonic
2025-02-26T17:46:57.524565image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 101
35.2%
2 86
30.0%
3 58
20.2%
4 18
 
6.3%
5 6
 
2.1%
7 5
 
1.7%
6 2
 
0.7%
8 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 101
35.2%
2 86
30.0%
3 58
20.2%
4 18
 
6.3%
5 6
 
2.1%
ValueCountFrequency (%)
8 1
 
0.3%
7 5
 
1.7%
6 2
 
0.7%
5 6
 
2.1%
4 18
6.3%

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

Distinct7
Distinct (%)2.5%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.483754513
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.562213image/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 deviation1.314877102
Coefficient of variation (CV)0.5293909264
Kurtosis1.453172355
Mean2.483754513
Median Absolute Deviation (MAD)1
Skewness1.008401527
Sum688
Variance1.728901795
MonotonicityNot monotonic
2025-02-26T17:46:57.600183image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 85
29.6%
1 72
25.1%
3 63
22.0%
4 39
13.6%
5 11
 
3.8%
6 5
 
1.7%
8 2
 
0.7%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 72
25.1%
2 85
29.6%
3 63
22.0%
4 39
13.6%
5 11
 
3.8%
ValueCountFrequency (%)
8 2
 
0.7%
6 5
 
1.7%
5 11
 
3.8%
4 39
13.6%
3 63
22.0%

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 (%)2.9%
Missing12
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean4.196363636
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.638396image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile6
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.456668987
Coefficient of variation (CV)0.3471264918
Kurtosis0.1745606241
Mean4.196363636
Median Absolute Deviation (MAD)1
Skewness0.3537616159
Sum1154
Variance2.121884539
MonotonicityNot monotonic
2025-02-26T17:46:57.676952image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 90
31.4%
3 55
19.2%
5 47
16.4%
6 40
13.9%
2 24
 
8.4%
8 9
 
3.1%
1 6
 
2.1%
7 4
 
1.4%
(Missing) 12
 
4.2%
ValueCountFrequency (%)
1 6
 
2.1%
2 24
 
8.4%
3 55
19.2%
4 90
31.4%
5 47
16.4%
ValueCountFrequency (%)
8 9
 
3.1%
7 4
 
1.4%
6 40
13.9%
5 47
16.4%
4 90
31.4%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean3.42599278
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.715282image/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 deviation1.524834099
Coefficient of variation (CV)0.4450780246
Kurtosis0.3002631488
Mean3.42599278
Median Absolute Deviation (MAD)1
Skewness0.5954536343
Sum949
Variance2.325119029
MonotonicityNot monotonic
2025-02-26T17:46:57.753530image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 87
30.3%
4 55
19.2%
2 48
16.7%
5 33
 
11.5%
1 26
 
9.1%
6 20
 
7.0%
8 5
 
1.7%
7 3
 
1.0%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 26
 
9.1%
2 48
16.7%
3 87
30.3%
4 55
19.2%
5 33
 
11.5%
ValueCountFrequency (%)
8 5
 
1.7%
7 3
 
1.0%
6 20
 
7.0%
5 33
11.5%
4 55
19.2%

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

Distinct8
Distinct (%)2.9%
Missing11
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean2.344202899
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.790900image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.203480898
Coefficient of variation (CV)0.513385978
Kurtosis3.844363953
Mean2.344202899
Median Absolute Deviation (MAD)1
Skewness1.492950545
Sum647
Variance1.448366271
MonotonicityNot monotonic
2025-02-26T17:46:57.831202image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 108
37.6%
3 67
23.3%
1 66
23.0%
4 23
 
8.0%
5 5
 
1.7%
6 4
 
1.4%
8 2
 
0.7%
7 1
 
0.3%
(Missing) 11
 
3.8%
ValueCountFrequency (%)
1 66
23.0%
2 108
37.6%
3 67
23.3%
4 23
 
8.0%
5 5
 
1.7%
ValueCountFrequency (%)
8 2
 
0.7%
7 1
 
0.3%
6 4
 
1.4%
5 5
 
1.7%
4 23
8.0%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.996389892
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.884210image/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 deviation1.497578226
Coefficient of variation (CV)0.499794179
Kurtosis0.3630969468
Mean2.996389892
Median Absolute Deviation (MAD)1
Skewness0.7624710526
Sum830
Variance2.242740543
MonotonicityNot monotonic
2025-02-26T17:46:57.935458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 80
27.9%
3 66
23.0%
4 44
15.3%
1 41
14.3%
5 29
 
10.1%
6 12
 
4.2%
8 3
 
1.0%
7 2
 
0.7%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 41
14.3%
2 80
27.9%
3 66
23.0%
4 44
15.3%
5 29
 
10.1%
ValueCountFrequency (%)
8 3
 
1.0%
7 2
 
0.7%
6 12
 
4.2%
5 29
10.1%
4 44
15.3%

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

Distinct8
Distinct (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.927797834
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:57.973932image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.174234189
Coefficient of variation (CV)0.6091064987
Kurtosis6.496009128
Mean1.927797834
Median Absolute Deviation (MAD)1
Skewness2.047932166
Sum534
Variance1.37882593
MonotonicityNot monotonic
2025-02-26T17:46:58.014493image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 126
43.9%
2 83
28.9%
3 48
 
16.7%
4 13
 
4.5%
5 2
 
0.7%
8 2
 
0.7%
7 2
 
0.7%
6 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 126
43.9%
2 83
28.9%
3 48
 
16.7%
4 13
 
4.5%
5 2
 
0.7%
ValueCountFrequency (%)
8 2
 
0.7%
7 2
 
0.7%
6 1
 
0.3%
5 2
 
0.7%
4 13
4.5%

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

Distinct7
Distinct (%)2.5%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.750902527
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.052835image/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 deviation1.466797105
Coefficient of variation (CV)0.5332057718
Kurtosis0.7230162604
Mean2.750902527
Median Absolute Deviation (MAD)1
Skewness0.8338403364
Sum762
Variance2.151493748
MonotonicityNot monotonic
2025-02-26T17:46:58.094392image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 69
24.0%
3 65
22.6%
1 64
22.3%
4 51
17.8%
5 13
 
4.5%
6 12
 
4.2%
8 3
 
1.0%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 64
22.3%
2 69
24.0%
3 65
22.6%
4 51
17.8%
5 13
 
4.5%
ValueCountFrequency (%)
8 3
 
1.0%
6 12
 
4.2%
5 13
 
4.5%
4 51
17.8%
3 65
22.6%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.415162455
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.134846image/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 deviation1.400383381
Coefficient of variation (CV)0.5798298903
Kurtosis2.621328794
Mean2.415162455
Median Absolute Deviation (MAD)1
Skewness1.46320262
Sum669
Variance1.961073615
MonotonicityNot monotonic
2025-02-26T17:46:58.184147image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 98
34.1%
1 76
26.5%
3 55
19.2%
4 30
 
10.5%
6 6
 
2.1%
7 5
 
1.7%
5 5
 
1.7%
8 2
 
0.7%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 76
26.5%
2 98
34.1%
3 55
19.2%
4 30
 
10.5%
5 5
 
1.7%
ValueCountFrequency (%)
8 2
 
0.7%
7 5
 
1.7%
6 6
 
2.1%
5 5
 
1.7%
4 30
10.5%

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 (%)2.9%
Missing11
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean2.663043478
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.259621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.416350038
Coefficient of variation (CV)0.5318538919
Kurtosis1.556123193
Mean2.663043478
Median Absolute Deviation (MAD)1
Skewness1.045807892
Sum735
Variance2.006047431
MonotonicityNot monotonic
2025-02-26T17:46:58.333027image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 83
28.9%
2 70
24.4%
1 64
22.3%
4 32
 
11.1%
5 16
 
5.6%
6 6
 
2.1%
8 3
 
1.0%
7 2
 
0.7%
(Missing) 11
 
3.8%
ValueCountFrequency (%)
1 64
22.3%
2 70
24.4%
3 83
28.9%
4 32
 
11.1%
5 16
 
5.6%
ValueCountFrequency (%)
8 3
 
1.0%
7 2
 
0.7%
6 6
 
2.1%
5 16
5.6%
4 32
11.1%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.97833935
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.384099image/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 deviation1.508274324
Coefficient of variation (CV)0.5064145305
Kurtosis0.7254097232
Mean2.97833935
Median Absolute Deviation (MAD)1
Skewness0.8156067331
Sum825
Variance2.274891435
MonotonicityNot monotonic
2025-02-26T17:46:58.439841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 75
26.1%
2 67
23.3%
4 49
17.1%
1 47
16.4%
5 21
 
7.3%
6 12
 
4.2%
8 4
 
1.4%
7 2
 
0.7%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 47
16.4%
2 67
23.3%
3 75
26.1%
4 49
17.1%
5 21
 
7.3%
ValueCountFrequency (%)
8 4
 
1.4%
7 2
 
0.7%
6 12
 
4.2%
5 21
7.3%
4 49
17.1%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.805054152
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.481200image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.115556864
Coefficient of variation (CV)0.6180185026
Kurtosis7.887645005
Mean1.805054152
Median Absolute Deviation (MAD)0
Skewness2.252720052
Sum500
Variance1.244467117
MonotonicityNot monotonic
2025-02-26T17:46:58.523068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 142
49.5%
2 78
27.2%
3 41
 
14.3%
4 10
 
3.5%
5 2
 
0.7%
8 2
 
0.7%
6 1
 
0.3%
7 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 142
49.5%
2 78
27.2%
3 41
 
14.3%
4 10
 
3.5%
5 2
 
0.7%
ValueCountFrequency (%)
8 2
 
0.7%
7 1
 
0.3%
6 1
 
0.3%
5 2
 
0.7%
4 10
3.5%

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

Distinct8
Distinct (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.880866426
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.562146image/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 deviation1.627513209
Coefficient of variation (CV)0.5649387957
Kurtosis1.768419792
Mean2.880866426
Median Absolute Deviation (MAD)1
Skewness1.280655721
Sum798
Variance2.648799247
MonotonicityNot monotonic
2025-02-26T17:46:58.601416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 80
27.9%
3 74
25.8%
1 51
17.8%
4 38
13.2%
5 13
 
4.5%
8 9
 
3.1%
6 8
 
2.8%
7 4
 
1.4%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 51
17.8%
2 80
27.9%
3 74
25.8%
4 38
13.2%
5 13
 
4.5%
ValueCountFrequency (%)
8 9
 
3.1%
7 4
 
1.4%
6 8
 
2.8%
5 13
 
4.5%
4 38
13.2%

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

Distinct8
Distinct (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.938628159
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.639519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.164008377
Coefficient of variation (CV)0.6004289023
Kurtosis5.08320177
Mean1.938628159
Median Absolute Deviation (MAD)1
Skewness1.897311525
Sum537
Variance1.354915503
MonotonicityNot monotonic
2025-02-26T17:46:58.679972image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 121
42.2%
2 94
32.8%
3 39
 
13.6%
4 13
 
4.5%
5 5
 
1.7%
7 2
 
0.7%
6 2
 
0.7%
8 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 121
42.2%
2 94
32.8%
3 39
 
13.6%
4 13
 
4.5%
5 5
 
1.7%
ValueCountFrequency (%)
8 1
 
0.3%
7 2
 
0.7%
6 2
 
0.7%
5 5
 
1.7%
4 13
4.5%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean3.054151625
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.719985image/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 deviation1.52537442
Coefficient of variation (CV)0.4994429248
Kurtosis0.8903450466
Mean3.054151625
Median Absolute Deviation (MAD)1
Skewness0.8335487672
Sum846
Variance2.326767122
MonotonicityNot monotonic
2025-02-26T17:46:58.760395image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 84
29.3%
2 57
19.9%
4 54
18.8%
1 45
15.7%
6 15
 
5.2%
5 15
 
5.2%
8 5
 
1.7%
7 2
 
0.7%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 45
15.7%
2 57
19.9%
3 84
29.3%
4 54
18.8%
5 15
 
5.2%
ValueCountFrequency (%)
8 5
 
1.7%
7 2
 
0.7%
6 15
 
5.2%
5 15
 
5.2%
4 54
18.8%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2.599277978
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.799228image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile5
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.427625798
Coefficient of variation (CV)0.5492393695
Kurtosis2.957801
Mean2.599277978
Median Absolute Deviation (MAD)1
Skewness1.438743619
Sum720
Variance2.038115419
MonotonicityNot monotonic
2025-02-26T17:46:58.838278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2 103
35.9%
1 57
19.9%
3 55
19.2%
4 40
 
13.9%
5 13
 
4.5%
8 6
 
2.1%
6 2
 
0.7%
7 1
 
0.3%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 57
19.9%
2 103
35.9%
3 55
19.2%
4 40
 
13.9%
5 13
 
4.5%
ValueCountFrequency (%)
8 6
 
2.1%
7 1
 
0.3%
6 2
 
0.7%
5 13
 
4.5%
4 40
13.9%

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 (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean3.407942238
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.877165image/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 deviation1.528595224
Coefficient of variation (CV)0.4485390647
Kurtosis0.01553908402
Mean3.407942238
Median Absolute Deviation (MAD)1
Skewness0.381071436
Sum944
Variance2.336603359
MonotonicityNot monotonic
2025-02-26T17:46:58.917450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 70
24.4%
3 68
23.7%
2 46
16.0%
5 35
12.2%
1 33
11.5%
6 19
 
6.6%
8 4
 
1.4%
7 2
 
0.7%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 33
11.5%
2 46
16.0%
3 68
23.7%
4 70
24.4%
5 35
12.2%
ValueCountFrequency (%)
8 4
 
1.4%
7 2
 
0.7%
6 19
 
6.6%
5 35
12.2%
4 70
24.4%

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

Distinct8
Distinct (%)2.9%
Missing10
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean3.068592058
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:58.956255image/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 deviation1.634874403
Coefficient of variation (CV)0.5327767173
Kurtosis1.089250085
Mean3.068592058
Median Absolute Deviation (MAD)1
Skewness1.026539418
Sum850
Variance2.672814315
MonotonicityNot monotonic
2025-02-26T17:46:58.995513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 77
26.8%
2 68
23.7%
4 45
15.7%
1 44
15.3%
5 19
 
6.6%
6 13
 
4.5%
8 9
 
3.1%
7 2
 
0.7%
(Missing) 10
 
3.5%
ValueCountFrequency (%)
1 44
15.3%
2 68
23.7%
3 77
26.8%
4 45
15.7%
5 19
 
6.6%
ValueCountFrequency (%)
8 9
 
3.1%
7 2
 
0.7%
6 13
 
4.5%
5 19
6.6%
4 45
15.7%

w2_interviewtime
Real number (ℝ)

Zeros 

interviewtime

Distinct284
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1345.829303
Minimum0
Maximum22184.4
Zeros4
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:59.043435image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile536.747
Q1752.79
median973.74
Q31272.97
95-th percentile2949.002
Maximum22184.4
Range22184.4
Interquartile range (IQR)520.18

Descriptive statistics

Standard deviation1906.693791
Coefficient of variation (CV)1.416742663
Kurtosis75.70060083
Mean1345.829303
Median Absolute Deviation (MAD)236.66
Skewness7.991229875
Sum386253.01
Variance3635481.212
MonotonicityNot monotonic
2025-02-26T17:46:59.160828image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 4
 
1.4%
799.88 1
 
0.3%
2458.15 1
 
0.3%
1529.48 1
 
0.3%
652.26 1
 
0.3%
831.52 1
 
0.3%
2004.02 1
 
0.3%
560.58 1
 
0.3%
638.26 1
 
0.3%
1842.6 1
 
0.3%
Other values (274) 274
95.5%
ValueCountFrequency (%)
0.0 4
1.4%
200.58 1
 
0.3%
236.01 1
 
0.3%
453.61 1
 
0.3%
473.71 1
 
0.3%
ValueCountFrequency (%)
22184.4 1
0.3%
18658.8 1
0.3%
11654.5 1
0.3%
6424.42 1
0.3%
5340.52 1
0.3%

w2_GT_A1
Real number (ℝ)

Missing 

Distinct279
Distinct (%)98.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean118.3174205
Minimum24.66
Maximum2044.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:59.210791image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum24.66
5-th percentile40.324
Q162.815
median93.14
Q3138.295
95-th percentile226.419
Maximum2044.58
Range2019.92
Interquartile range (IQR)75.48

Descriptive statistics

Standard deviation139.6223139
Coefficient of variation (CV)1.180065567
Kurtosis131.5948307
Mean118.3174205
Median Absolute Deviation (MAD)34.63
Skewness10.07899201
Sum33483.83
Variance19494.39053
MonotonicityNot monotonic
2025-02-26T17:46:59.265108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.2 2
 
0.7%
58.86 2
 
0.7%
93.14 2
 
0.7%
49.78 2
 
0.7%
141.67 1
 
0.3%
125.27 1
 
0.3%
84.42 1
 
0.3%
125.39 1
 
0.3%
113.37 1
 
0.3%
65.71 1
 
0.3%
Other values (269) 269
93.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
24.66 1
0.3%
28.04 1
0.3%
32.14 1
0.3%
32.53 1
0.3%
33.17 1
0.3%
ValueCountFrequency (%)
2044.58 1
0.3%
870.13 1
0.3%
463.52 1
0.3%
397.02 1
0.3%
383.25 1
0.3%

w2_GT_A2
Real number (ℝ)

Missing 

Distinct245
Distinct (%)86.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean11.67420495
Minimum4.29
Maximum198.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:59.319013image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.29
5-th percentile5.5
Q17.54
median9.26
Q311.695
95-th percentile21.434
Maximum198.43
Range194.14
Interquartile range (IQR)4.155

Descriptive statistics

Standard deviation13.54818264
Coefficient of variation (CV)1.160522939
Kurtosis131.0592704
Mean11.67420495
Median Absolute Deviation (MAD)1.98
Skewness10.20591798
Sum3303.8
Variance183.5532528
MonotonicityNot monotonic
2025-02-26T17:46:59.374822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.68 3
 
1.0%
7.85 3
 
1.0%
5.5 3
 
1.0%
10.73 2
 
0.7%
11.7 2
 
0.7%
7.14 2
 
0.7%
11.69 2
 
0.7%
9.1 2
 
0.7%
7.68 2
 
0.7%
9.8 2
 
0.7%
Other values (235) 260
90.6%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4.29 1
0.3%
4.58 1
0.3%
4.59 1
0.3%
4.61 1
0.3%
4.66 1
0.3%
ValueCountFrequency (%)
198.43 1
0.3%
71.0 1
0.3%
68.26 1
0.3%
55.85 1
0.3%
51.47 1
0.3%

w2_GT_B
Real number (ℝ)

Missing 

Distinct276
Distinct (%)97.5%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean124.9362191
Minimum17.24
Maximum14296.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:59.428196image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum17.24
5-th percentile24.119
Q131.855
median39.14
Q351.395
95-th percentile120.707
Maximum14296.4
Range14279.16
Interquartile range (IQR)19.54

Descriptive statistics

Standard deviation906.7581593
Coefficient of variation (CV)7.257768531
Kurtosis215.5004581
Mean124.9362191
Median Absolute Deviation (MAD)8.87
Skewness14.17697276
Sum35356.95
Variance822210.3594
MonotonicityNot monotonic
2025-02-26T17:46:59.481117image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.99 2
 
0.7%
25.8 2
 
0.7%
29.6 2
 
0.7%
38.03 2
 
0.7%
44.18 2
 
0.7%
24.91 2
 
0.7%
42.9 2
 
0.7%
41.5 1
 
0.3%
41.14 1
 
0.3%
38.98 1
 
0.3%
Other values (266) 266
92.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
17.24 1
0.3%
17.52 1
0.3%
17.89 1
0.3%
18.99 1
0.3%
19.19 1
0.3%
ValueCountFrequency (%)
14296.4 1
0.3%
4405.85 1
0.3%
3402.43 1
0.3%
281.81 1
0.3%
239.75 1
0.3%

w2_GT_C
Real number (ℝ)

Missing 

Distinct279
Distinct (%)98.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean315.3862544
Minimum8.45
Maximum11984.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:59.534283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum8.45
5-th percentile104.439
Q1159.535
median197.95
Q3266.07
95-th percentile582.651
Maximum11984.5
Range11976.05
Interquartile range (IQR)106.535

Descriptive statistics

Standard deviation813.412711
Coefficient of variation (CV)2.57910007
Kurtosis157.2483725
Mean315.3862544
Median Absolute Deviation (MAD)49.49
Skewness11.7606312
Sum89254.31
Variance661640.2384
MonotonicityNot monotonic
2025-02-26T17:46:59.588502image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
156.62 2
 
0.7%
106.32 2
 
0.7%
195.41 2
 
0.7%
156.35 2
 
0.7%
99.46 1
 
0.3%
190.89 1
 
0.3%
171.89 1
 
0.3%
799.19 1
 
0.3%
120.52 1
 
0.3%
291.3 1
 
0.3%
Other values (269) 269
93.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
8.45 1
0.3%
11.91 1
0.3%
21.58 1
0.3%
59.72 1
0.3%
59.99 1
0.3%
ValueCountFrequency (%)
11984.5 1
0.3%
5411.99 1
0.3%
3643.18 1
0.3%
2618.75 1
0.3%
1565.75 1
0.3%

w2_GT_D
Real number (ℝ)

Missing 

Distinct280
Distinct (%)98.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean101.6392226
Minimum4.72
Maximum3094.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:59.640833image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.72
5-th percentile7.364
Q145.54
median88.91
Q3112.805
95-th percentile184.608
Maximum3094.12
Range3089.4
Interquartile range (IQR)67.265

Descriptive statistics

Standard deviation198.5028672
Coefficient of variation (CV)1.953014418
Kurtosis184.9220622
Mean101.6392226
Median Absolute Deviation (MAD)28.35
Skewness12.53206157
Sum28763.9
Variance39403.38828
MonotonicityNot monotonic
2025-02-26T17:46:59.693943image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.66 2
 
0.7%
6.05 2
 
0.7%
86.52 2
 
0.7%
66.18 1
 
0.3%
10.38 1
 
0.3%
64.43 1
 
0.3%
77.75 1
 
0.3%
10.66 1
 
0.3%
61.17 1
 
0.3%
191.63 1
 
0.3%
Other values (270) 270
94.1%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4.72 1
0.3%
5.08 1
0.3%
5.74 1
0.3%
5.81 1
0.3%
5.96 1
0.3%
ValueCountFrequency (%)
3094.12 1
0.3%
740.77 1
0.3%
632.07 1
0.3%
589.81 1
0.3%
530.49 1
0.3%

w2_GT_E
Real number (ℝ)

Missing 

Distinct280
Distinct (%)98.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean150.5668198
Minimum4.13
Maximum10836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:59.747870image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.13
5-th percentile38.615
Q153.995
median69.75
Q396.66
95-th percentile237.397
Maximum10836
Range10831.87
Interquartile range (IQR)42.665

Descriptive statistics

Standard deviation677.3584953
Coefficient of variation (CV)4.498723532
Kurtosis222.7138731
Mean150.5668198
Median Absolute Deviation (MAD)20.18
Skewness14.37083702
Sum42610.41
Variance458814.5312
MonotonicityNot monotonic
2025-02-26T17:46:59.801422image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.72 2
 
0.7%
70.08 2
 
0.7%
92.42 2
 
0.7%
101.45 1
 
0.3%
46.42 1
 
0.3%
44.06 1
 
0.3%
91.63 1
 
0.3%
38.57 1
 
0.3%
92.61 1
 
0.3%
153.71 1
 
0.3%
Other values (270) 270
94.1%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4.13 1
0.3%
25.48 1
0.3%
27.91 1
0.3%
27.98 1
0.3%
29.14 1
0.3%
ValueCountFrequency (%)
10836.0 1
0.3%
3106.64 1
0.3%
1640.71 1
0.3%
934.2 1
0.3%
899.2 1
0.3%

w2_GT_F
Real number (ℝ)

Missing 

Distinct281
Distinct (%)100.0%
Missing6
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean546.1912811
Minimum7.31
Maximum4572.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2025-02-26T17:46:59.851816image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.31
5-th percentile233.28
Q1328.39
median415.96
Q3564.49
95-th percentile1198.98
Maximum4572.03
Range4564.72
Interquartile range (IQR)236.1

Descriptive statistics

Standard deviation515.8631716
Coefficient of variation (CV)0.9444734645
Kurtosis30.41107317
Mean546.1912811
Median Absolute Deviation (MAD)101.78
Skewness4.950322446
Sum153479.75
Variance266114.8118
MonotonicityNot monotonic
2025-02-26T17:46:59.903302image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
871.43 1
 
0.3%
529.12 1
 
0.3%
222.92 1
 
0.3%
360.68 1
 
0.3%
920.25 1
 
0.3%
228.37 1
 
0.3%
287.06 1
 
0.3%
787.6 1
 
0.3%
626.7 1
 
0.3%
733.99 1
 
0.3%
Other values (271) 271
94.4%
(Missing) 6
 
2.1%
ValueCountFrequency (%)
7.31 1
0.3%
9.23 1
0.3%
58.96 1
0.3%
141.98 1
0.3%
157.32 1
0.3%
ValueCountFrequency (%)
4572.03 1
0.3%
4221.15 1
0.3%
3875.07 1
0.3%
3302.88 1
0.3%
2184.16 1
0.3%