Overview

Brought to you by YData

Dataset statistics

Number of variables62
Number of observations15
Missing cells88
Missing cells (%)9.5%
Total size in memory11.1 KiB
Average record size in memory754.5 B

Variable types

Text10
Numeric49
DateTime3

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
w3_experimentidexperimentid
w3_lastpagelastpage
w3_submitdatesubmitdate
w3_startlanguagestartlanguage
w3_startdatestartdate
w3_datestampdatestamp
w3_refurlrefurl
w3_A01Do you want to continue the experiment for another two weeks? *(* Payments description) 1. No, I want to end the experiment on xxxx 2. Yes, I want to continue the experiment until xxxx
w3_A02w3_A02. On which of the following smartphone brands have you installed and compiled the app? 1. Huawei [for JLU Huawei/Honor] 2. Wiko 3. Xiaomi 4. Samsung 5. Motorola 6. Asus 7. Lenovo 8. Other:_ 9. OPPO/VIVO [for JLU] 10. Oneplus [for JLU]
w3_A02_otherOn which of the following smartphone brands have you installed and compiled the app? Answer: Other_
w3_A03Did you experience any difficulties in one of the following moments while using the i-Log app? 1. I found no difficulty 2. In finding and downloading the app 3. During installation 4. During configuration 5. In interfacing with the logic of the app 6. Other: ________________
w3_A03_otherDid you experience any difficulties in one of the following moments while using the i-Log app? 6. Other:________________
w3_A04 [If w3_A03 ≠ 1] Could you tell us what kind of difficulty did you encounter? ________________
w3_A05 Were there some situations in which you were unable to place the activity you were carrying out in one of the options proposed by the app questionnaires? 1. Yes 2. No
w3_A06[If w3_A05 = 1] What activities could you not place? ________________
w3_A07Which of the following components would you like to see implemented? 1. Presence of a greater number of hours for the "Sleep" option 2. Introduction of pop ups that explain the content of the answer options 3. Presence of precompiled combinations (eg: Lesson -> Classroom, university laboratory -> Classmates) 4. Introduction of daily feedback on the number of completed questionnaires 5. Introduction of feedback on the progress of the compilation 6. Introduction of the possibility to change the background of the app 7. Other: ________________
w3_A07_otherWhich of the following components would you like to see implemented?
w3_A08Other considerations about the experiment________________
w3_B01_1Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Writing is a natural way for me to express myself.
w3_B01_2Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.
w3_B01_3Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I have recently written something that I am especially proud of, or for which I have received recognition.
w3_B01_4Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Metaphors and vivid verbal expressions help me learn efficiently.
w3_B01_5Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school I was good at mathematics, physics or chemistry.
w3_B01_6Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can work with and solve complex problems.
w3_B01_7Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Mental arithmetic is easy for me
w3_B01_8Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at games and problem solving, which require logical thinking.
w3_B01_9Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.
w3_B01_10Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is easy for me to conceptualize complex and multidimensional patterns.
w3_B01_11Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily imagine how a landscape looks from a bird’s-eye view.
w3_B01_12Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When I read, I form illustrative pictures or designs in my mind.
w3_B01_13Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am handy.
w3_B01_14Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily do something concrete with my hands (e.g. knitting and woodwork)
w3_B01_15Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at showing how to do something in practice.
w3_B01_16Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I was good at handicrafts at school.
w3_B01_17Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : After hearing a tune once or twice I am able to sing or whistle it quite accurately.
w3_B01_18Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When listening to music, I am able to discern instruments or recognize melodies.
w3_B01_19Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily keep the rhythm when drumming a melody.
w3_B01_20Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I notice immediately if a melody is out of tune
w3_B01_21Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even in strange company, I easily find someone to talk to.
w3_B01_22Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I get alone easily with different types of people.
w3_B01_23Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I make contact easily with other people.
w3_B01_24Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In negotiations and group work, I am able to support the group to find a consensus.
w3_B01_25Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am able to analyse my own motives and ways of action.
w3_B01_26Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often think about my own feelings and sentiments and seek reasons for them.
w3_B01_27Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I spend time regularly reflecting on the important issues in life.
w3_B01_28Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I like to read psychological or philosophical literature to increase my self-knowledge.
w3_B01_29Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I enjoy the beauty and experiences related to nature.
w3_B01_30Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Protecting the nature is important to me.
w3_B01_31Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I pay attention to my consumption habits in order to protect environment.
w3_B01_32Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In midst of busy everyday life, I find it important to contemplate.
w3_B01_33Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even ordinary every-day life is full of miraculous things.
w3_B01_34Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often reflect on the meaning of life.
w3_B01_35Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is important to me to share a quiet moment with others.
w3_C01As a last question we would like to ask you about your Body Mass Index (BMI). This is a standard measure used in health studies related to nutrition. Do you agree to answer? 1. Yes 2. No
w3_C02What is your BMI level? [Use the formula BMI = mass/(height x height) to calculate your BMI, where mass should be in kilograms and height should be in meters. Example: if your height is 1.6m and your weight is 52kg, your BMI would be 52/(1.6x1.6)=20.3.] 1. BMI < 18.5 2. BMI in range [18.5 – 24.9] 3. BMI in range [25.0 - 29.9] 4. BMI > 30.0
w3_D01In the coming months the WeNet team will continue its data collection and App testing activities. We would like to ask if we can contact you to participate in these activities. Your consent does not imply any obligation on your part, and you can decline the invitation at any time. 1. Yes, I agree to be contacted to participate in other data collection and App testing activities 2. No, I am not interested in continuing to participate in other App testing and data collection activities
w3_interviewtimeinterviewtime
w3_GT_A
w3_GT_B
w3_GT_C
w3_GT_D

Alerts

w3_experimentid has constant value "wenetDenmark" Constant
w3_lastpage has constant value "4" Constant
w3_startlanguage has constant value "en" Constant
w3_refurl has constant value "android-gmail" Constant
w3_refurl has 13 (86.7%) missing values Missing
w3_A02_other has 13 (86.7%) missing values Missing
w3_A03_other has 13 (86.7%) missing values Missing
w3_A04 has 12 (80.0%) missing values Missing
w3_A06 has 11 (73.3%) missing values Missing
w3_A07_other has 13 (86.7%) missing values Missing
w3_A08 has 8 (53.3%) missing values Missing
w3_B01_18 has 1 (6.7%) missing values Missing
w3_B01_20 has 1 (6.7%) missing values Missing
w3_B01_23 has 1 (6.7%) missing values Missing
w3_B01_25 has 1 (6.7%) missing values Missing
w3_C02 has 1 (6.7%) missing values Missing
token has unique values Unique
w3_submitdate has unique values Unique
w3_startdate has unique values Unique
w3_datestamp has unique values Unique
w3_interviewtime has unique values Unique
w3_GT_A has unique values Unique
w3_GT_B has unique values Unique
w3_GT_C has unique values Unique
w3_GT_D has unique values Unique

Reproduction

Analysis started2025-02-26 16:47:32.591625
Analysis finished2025-02-26 16:47:32.715186
Duration0.12 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct15
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size477.0 B
2025-02-26T17:47:32.808251image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters225
Distinct characters61
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

Unique15 ?
Unique (%)100.0%

Sample

1st row3l853ZPbvHqIDnU
2nd row4HVJ9kLR379pRwq
3rd row8VawKl8Wton33l5
4th rowAjT7kwrp9FJ1Ocw
5th rowDh8aYCHucn0TLWm
ValueCountFrequency (%)
3l853zpbvhqidnu 1
 
6.7%
4hvj9klr379prwq 1
 
6.7%
8vawkl8wton33l5 1
 
6.7%
ajt7kwrp9fj1ocw 1
 
6.7%
dh8aychucn0tlwm 1
 
6.7%
hb0wy1jvz48iied 1
 
6.7%
hpjggi2uv7prxvk 1
 
6.7%
mnluwnqil6azmvl 1
 
6.7%
seh4kwrf2rkee0h 1
 
6.7%
uhk8wnvprh2ekwz 1
 
6.7%
Other values (5) 5
33.3%
2025-02-26T17:47:32.964758image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
v 8
 
3.6%
H 8
 
3.6%
w 8
 
3.6%
3 7
 
3.1%
8 7
 
3.1%
I 7
 
3.1%
J 7
 
3.1%
p 7
 
3.1%
z 7
 
3.1%
l 6
 
2.7%
Other values (51) 153
68.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 225
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
v 8
 
3.6%
H 8
 
3.6%
w 8
 
3.6%
3 7
 
3.1%
8 7
 
3.1%
I 7
 
3.1%
J 7
 
3.1%
p 7
 
3.1%
z 7
 
3.1%
l 6
 
2.7%
Other values (51) 153
68.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 225
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
v 8
 
3.6%
H 8
 
3.6%
w 8
 
3.6%
3 7
 
3.1%
8 7
 
3.1%
I 7
 
3.1%
J 7
 
3.1%
p 7
 
3.1%
z 7
 
3.1%
l 6
 
2.7%
Other values (51) 153
68.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 225
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
v 8
 
3.6%
H 8
 
3.6%
w 8
 
3.6%
3 7
 
3.1%
8 7
 
3.1%
I 7
 
3.1%
J 7
 
3.1%
p 7
 
3.1%
z 7
 
3.1%
l 6
 
2.7%
Other values (51) 153
68.0%

w3_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size432.0 B
2025-02-26T17:47:33.036379image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters180
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetDenmark
2nd rowwenetDenmark
3rd rowwenetDenmark
4th rowwenetDenmark
5th rowwenetDenmark
ValueCountFrequency (%)
wenetdenmark 15
100.0%
2025-02-26T17:47:33.142902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 45
25.0%
n 30
16.7%
w 15
 
8.3%
t 15
 
8.3%
D 15
 
8.3%
m 15
 
8.3%
a 15
 
8.3%
r 15
 
8.3%
k 15
 
8.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 180
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 45
25.0%
n 30
16.7%
w 15
 
8.3%
t 15
 
8.3%
D 15
 
8.3%
m 15
 
8.3%
a 15
 
8.3%
r 15
 
8.3%
k 15
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 180
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 45
25.0%
n 30
16.7%
w 15
 
8.3%
t 15
 
8.3%
D 15
 
8.3%
m 15
 
8.3%
a 15
 
8.3%
r 15
 
8.3%
k 15
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 180
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 45
25.0%
n 30
16.7%
w 15
 
8.3%
t 15
 
8.3%
D 15
 
8.3%
m 15
 
8.3%
a 15
 
8.3%
r 15
 
8.3%
k 15
 
8.3%

w3_lastpage
Real number (ℝ)

Constant 

lastpage

Distinct1
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum4
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:33.182145image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum4
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean4
Median Absolute Deviation (MAD)0
Skewness0
Sum60
Variance0
MonotonicityIncreasing
2025-02-26T17:47:33.218762image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
4 15
100.0%
ValueCountFrequency (%)
4 15
100.0%
ValueCountFrequency (%)
4 15
100.0%

w3_submitdate
Date

Unique 

submitdate

Distinct15
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size252.0 B
Minimum2020-11-27 15:20:41
Maximum2020-12-02 09:31:43
2025-02-26T17:47:33.257115image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:33.298969image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

w3_startlanguage
Text

Constant 

startlanguage

Distinct1
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size282.0 B
2025-02-26T17:47:33.326197image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters30
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowen
2nd rowen
3rd rowen
4th rowen
5th rowen
ValueCountFrequency (%)
en 15
100.0%
2025-02-26T17:47:33.402236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 15
50.0%
n 15
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 15
50.0%
n 15
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 15
50.0%
n 15
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 15
50.0%
n 15
50.0%

w3_startdate
Date

Unique 

startdate

Distinct15
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size252.0 B
Minimum2020-11-27 15:16:59
Maximum2020-12-02 09:09:20
2025-02-26T17:47:33.445624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:33.487362image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

w3_datestamp
Date

Unique 

datestamp

Distinct15
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size252.0 B
Minimum2020-11-27 15:20:41
Maximum2020-12-02 09:31:43
2025-02-26T17:47:33.527224image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:33.568515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

w3_refurl
Text

Constant  Missing 

refurl

Distinct1
Distinct (%)50.0%
Missing13
Missing (%)86.7%
Memory size280.0 B
2025-02-26T17:47:33.633741image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters26
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
ValueCountFrequency (%)
android-gmail 2
100.0%
2025-02-26T17:47:33.739515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 4
15.4%
d 4
15.4%
i 4
15.4%
n 2
7.7%
r 2
7.7%
o 2
7.7%
- 2
7.7%
g 2
7.7%
m 2
7.7%
l 2
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 4
15.4%
d 4
15.4%
i 4
15.4%
n 2
7.7%
r 2
7.7%
o 2
7.7%
- 2
7.7%
g 2
7.7%
m 2
7.7%
l 2
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 4
15.4%
d 4
15.4%
i 4
15.4%
n 2
7.7%
r 2
7.7%
o 2
7.7%
- 2
7.7%
g 2
7.7%
m 2
7.7%
l 2
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 4
15.4%
d 4
15.4%
i 4
15.4%
n 2
7.7%
r 2
7.7%
o 2
7.7%
- 2
7.7%
g 2
7.7%
m 2
7.7%
l 2
7.7%

w3_A01
Real number (ℝ)

Do you want to continue the experiment for another two weeks? *(* Payments description) 1. No, I want to end the experiment on xxxx 2. Yes, I want to continue the experiment until xxxx

Distinct2
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.933333333
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:33.780748image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2581988897
Coefficient of variation (CV)0.1335511499
Kurtosis15
Mean1.933333333
Median Absolute Deviation (MAD)0
Skewness-3.872983346
Sum29
Variance0.06666666667
MonotonicityNot monotonic
2025-02-26T17:47:33.819357image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 14
93.3%
1 1
 
6.7%
ValueCountFrequency (%)
1 1
 
6.7%
2 14
93.3%
ValueCountFrequency (%)
2 14
93.3%
1 1
 
6.7%

w3_A02
Real number (ℝ)

w3_A02. On which of the following smartphone brands have you installed and compiled the app? 1. Huawei [for JLU Huawei/Honor] 2. Wiko 3. Xiaomi 4. Samsung 5. Motorola 6. Asus 7. Lenovo 8. Other:_ 9. OPPO/VIVO [for JLU] 10. Oneplus [for JLU]

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:33.855749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q34
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.39642591
Coefficient of variation (CV)0.7488830969
Kurtosis0.2756881494
Mean3.2
Median Absolute Deviation (MAD)2
Skewness0.985968883
Sum48
Variance5.742857143
MonotonicityNot monotonic
2025-02-26T17:47:33.893589image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 6
40.0%
3 3
20.0%
4 3
20.0%
8 2
 
13.3%
5 1
 
6.7%
ValueCountFrequency (%)
1 6
40.0%
3 3
20.0%
4 3
20.0%
5 1
 
6.7%
8 2
 
13.3%
ValueCountFrequency (%)
8 2
 
13.3%
5 1
 
6.7%
4 3
20.0%
3 3
20.0%
1 6
40.0%

w3_A02_other
Text

Missing 

On which of the following smartphone brands have you installed and compiled the app? Answer: Other_

Distinct2
Distinct (%)100.0%
Missing13
Missing (%)86.7%
Memory size267.0 B
2025-02-26T17:47:33.950353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length6.5
Mean length6.5
Min length6

Characters and Unicode

Total characters13
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row1 Plus
2nd rowOneplus
ValueCountFrequency (%)
1 1
33.3%
plus 1
33.3%
oneplus 1
33.3%
2025-02-26T17:47:34.055843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
l 2
15.4%
u 2
15.4%
s 2
15.4%
1 1
7.7%
1
7.7%
P 1
7.7%
O 1
7.7%
n 1
7.7%
e 1
7.7%
p 1
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 13
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
l 2
15.4%
u 2
15.4%
s 2
15.4%
1 1
7.7%
1
7.7%
P 1
7.7%
O 1
7.7%
n 1
7.7%
e 1
7.7%
p 1
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 13
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
l 2
15.4%
u 2
15.4%
s 2
15.4%
1 1
7.7%
1
7.7%
P 1
7.7%
O 1
7.7%
n 1
7.7%
e 1
7.7%
p 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 13
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
l 2
15.4%
u 2
15.4%
s 2
15.4%
1 1
7.7%
1
7.7%
P 1
7.7%
O 1
7.7%
n 1
7.7%
e 1
7.7%
p 1
7.7%

w3_A03
Real number (ℝ)

Did you experience any difficulties in one of the following moments while using the i-Log app? 1. I found no difficulty 2. In finding and downloading the app 3. During installation 4. During configuration 5. In interfacing with the logic of the app 6. Other: ________________

Distinct3
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.866666667
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:34.097096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.846489591
Coefficient of variation (CV)0.9891908523
Kurtosis2.008832433
Mean1.866666667
Median Absolute Deviation (MAD)0
Skewness1.873728142
Sum28
Variance3.40952381
MonotonicityNot monotonic
2025-02-26T17:47:34.134860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 12
80.0%
6 2
 
13.3%
4 1
 
6.7%
ValueCountFrequency (%)
1 12
80.0%
4 1
 
6.7%
6 2
 
13.3%
ValueCountFrequency (%)
6 2
 
13.3%
4 1
 
6.7%
1 12
80.0%

w3_A03_other
Text

Missing 

Did you experience any difficulties in one of the following moments while using the i-Log app? 6. Other:________________

Distinct2
Distinct (%)100.0%
Missing13
Missing (%)86.7%
Memory size309.0 B
2025-02-26T17:47:34.200537image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length36
Median length27.5
Mean length27.5
Min length19

Characters and Unicode

Total characters55
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowSometimes I don't get nofitications.
2nd rowPhone became slower
ValueCountFrequency (%)
sometimes 1
12.5%
i 1
12.5%
don't 1
12.5%
get 1
12.5%
nofitications 1
12.5%
phone 1
12.5%
became 1
12.5%
slower 1
12.5%
2025-02-26T17:47:34.319060image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 7
12.7%
o 6
10.9%
6
10.9%
t 5
 
9.1%
i 4
 
7.3%
n 4
 
7.3%
m 3
 
5.5%
s 3
 
5.5%
c 2
 
3.6%
a 2
 
3.6%
Other values (13) 13
23.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 55
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 7
12.7%
o 6
10.9%
6
10.9%
t 5
 
9.1%
i 4
 
7.3%
n 4
 
7.3%
m 3
 
5.5%
s 3
 
5.5%
c 2
 
3.6%
a 2
 
3.6%
Other values (13) 13
23.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 55
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 7
12.7%
o 6
10.9%
6
10.9%
t 5
 
9.1%
i 4
 
7.3%
n 4
 
7.3%
m 3
 
5.5%
s 3
 
5.5%
c 2
 
3.6%
a 2
 
3.6%
Other values (13) 13
23.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 55
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 7
12.7%
o 6
10.9%
6
10.9%
t 5
 
9.1%
i 4
 
7.3%
n 4
 
7.3%
m 3
 
5.5%
s 3
 
5.5%
c 2
 
3.6%
a 2
 
3.6%
Other values (13) 13
23.6%

w3_A04
Text

Missing 

[If w3_A03 ≠ 1] Could you tell us what kind of difficulty did you encounter? ________________

Distinct3
Distinct (%)100.0%
Missing12
Missing (%)80.0%
Memory size443.0 B
2025-02-26T17:47:34.392880image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length97
Median length70
Mean length63
Min length22

Characters and Unicode

Total characters189
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

Unique3 ?
Unique (%)100.0%

Sample

1st rowSometimes I have to access the app if I want to get the notifications.
2nd rowMy phone became slower
3rd rowAt first, I could not activate the study and then a few days passed before I could start logging.
ValueCountFrequency (%)
i 4
 
10.8%
the 3
 
8.1%
to 2
 
5.4%
could 2
 
5.4%
sometimes 1
 
2.7%
have 1
 
2.7%
access 1
 
2.7%
app 1
 
2.7%
if 1
 
2.7%
want 1
 
2.7%
Other values (20) 20
54.1%
2025-02-26T17:47:34.575357image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
18.0%
t 19
 
10.1%
e 18
 
9.5%
a 13
 
6.9%
o 12
 
6.3%
s 11
 
5.8%
i 8
 
4.2%
n 8
 
4.2%
c 7
 
3.7%
h 6
 
3.2%
Other values (18) 53
28.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 189
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
34
18.0%
t 19
 
10.1%
e 18
 
9.5%
a 13
 
6.9%
o 12
 
6.3%
s 11
 
5.8%
i 8
 
4.2%
n 8
 
4.2%
c 7
 
3.7%
h 6
 
3.2%
Other values (18) 53
28.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 189
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
34
18.0%
t 19
 
10.1%
e 18
 
9.5%
a 13
 
6.9%
o 12
 
6.3%
s 11
 
5.8%
i 8
 
4.2%
n 8
 
4.2%
c 7
 
3.7%
h 6
 
3.2%
Other values (18) 53
28.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 189
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
34
18.0%
t 19
 
10.1%
e 18
 
9.5%
a 13
 
6.9%
o 12
 
6.3%
s 11
 
5.8%
i 8
 
4.2%
n 8
 
4.2%
c 7
 
3.7%
h 6
 
3.2%
Other values (18) 53
28.0%

w3_A05
Real number (ℝ)

Were there some situations in which you were unable to place the activity you were carrying out in one of the options proposed by the app questionnaires? 1. Yes 2. No

Distinct2
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.733333333
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:34.621005image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.4577377082
Coefficient of variation (CV)0.264079447
Kurtosis-0.7342657343
Mean1.733333333
Median Absolute Deviation (MAD)0
Skewness-1.1763539
Sum26
Variance0.2095238095
MonotonicityNot monotonic
2025-02-26T17:47:34.658048image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 11
73.3%
1 4
 
26.7%
ValueCountFrequency (%)
1 4
 
26.7%
2 11
73.3%
ValueCountFrequency (%)
2 11
73.3%
1 4
 
26.7%

w3_A06
Text

Missing 

[If w3_A05 = 1] What activities could you not place? ________________

Distinct4
Distinct (%)100.0%
Missing11
Missing (%)73.3%
Memory size835.0 B
2025-02-26T17:47:34.764336image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length321
Median length111.5
Mean length145.25
Min length37

Characters and Unicode

Total characters581
Distinct characters52
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowLIKE WHEN YOU ARE NOT WITH ONLY ONE GROUP OF PEOPLE. IT SHOULD BE POSSIBLE TO ADD MULTIPLE CHOICES. e.g. FRIENDS + RELATIVES and ALSO I HAVE NO CLEAR IF WE ARE ASKING WHO IS PHYSICALLY PRESENT IN THE PLACE OR SOMEONE I AM ACTUALLY DOING THE THING. e.g. SLEEPING, SHOULD I SAY WHO IS IN THE BED, IN THE ROOM, IN THE HOUSE?
2nd rowRole Playing Games. I couldn't decide if it was a game or social activity, it's kind of both.
3rd rowActivities, related to health issues, i.e visit to a dentist or a doctor. Placed in "other", "personal care" did not seem precise.
4th rowInteraction and training pets/animals
ValueCountFrequency (%)
in 5
 
4.6%
the 5
 
4.6%
i 4
 
3.7%
to 3
 
2.8%
or 3
 
2.8%
a 3
 
2.8%
are 2
 
1.9%
not 2
 
1.9%
of 2
 
1.9%
it 2
 
1.9%
Other values (71) 77
71.3%
2025-02-26T17:47:34.923439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
 
17.9%
E 31
 
5.3%
I 25
 
4.3%
e 24
 
4.1%
i 24
 
4.1%
O 23
 
4.0%
t 22
 
3.8%
a 20
 
3.4%
L 17
 
2.9%
S 17
 
2.9%
Other values (42) 274
47.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 581
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
104
 
17.9%
E 31
 
5.3%
I 25
 
4.3%
e 24
 
4.1%
i 24
 
4.1%
O 23
 
4.0%
t 22
 
3.8%
a 20
 
3.4%
L 17
 
2.9%
S 17
 
2.9%
Other values (42) 274
47.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 581
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
104
 
17.9%
E 31
 
5.3%
I 25
 
4.3%
e 24
 
4.1%
i 24
 
4.1%
O 23
 
4.0%
t 22
 
3.8%
a 20
 
3.4%
L 17
 
2.9%
S 17
 
2.9%
Other values (42) 274
47.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 581
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
104
 
17.9%
E 31
 
5.3%
I 25
 
4.3%
e 24
 
4.1%
i 24
 
4.1%
O 23
 
4.0%
t 22
 
3.8%
a 20
 
3.4%
L 17
 
2.9%
S 17
 
2.9%
Other values (42) 274
47.2%

w3_A07
Real number (ℝ)

Which of the following components would you like to see implemented? 1. Presence of a greater number of hours for the "Sleep" option 2. Introduction of pop ups that explain the content of the answer options 3. Presence of precompiled combinations (eg: Lesson -> Classroom, university laboratory -> Classmates) 4. Introduction of daily feedback on the number of completed questionnaires 5. Introduction of feedback on the progress of the compilation 6. Introduction of the possibility to change the background of the app 7. Other: ________________

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.933333333
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:34.969120image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.016597795
Coefficient of variation (CV)0.687476521
Kurtosis0.4558770979
Mean2.933333333
Median Absolute Deviation (MAD)2
Skewness1.069220684
Sum44
Variance4.066666667
MonotonicityNot monotonic
2025-02-26T17:47:35.005040image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 6
40.0%
1 5
33.3%
7 2
 
13.3%
2 1
 
6.7%
5 1
 
6.7%
ValueCountFrequency (%)
1 5
33.3%
2 1
 
6.7%
3 6
40.0%
5 1
 
6.7%
7 2
 
13.3%
ValueCountFrequency (%)
7 2
 
13.3%
5 1
 
6.7%
3 6
40.0%
2 1
 
6.7%
1 5
33.3%

w3_A07_other
Text

Missing 

Which of the following components would you like to see implemented?

Distinct2
Distinct (%)100.0%
Missing13
Missing (%)86.7%
Memory size502.0 B
2025-02-26T17:47:35.085494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length167
Median length124
Mean length124
Min length81

Characters and Unicode

Total characters248
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowMultiple choice possibility, i.e "travelling+watching TV+ playing computer game".
2nd rowWhen you do a certain activity for a period of time it can be annoying to have to write the same thing again and again, maybe skip that and just full out the smiley :D
ValueCountFrequency (%)
a 2
 
4.5%
to 2
 
4.5%
the 2
 
4.5%
again 2
 
4.5%
and 2
 
4.5%
multiple 1
 
2.3%
choice 1
 
2.3%
possibility 1
 
2.3%
i.e 1
 
2.3%
travelling+watching 1
 
2.3%
Other values (29) 29
65.9%
2025-02-26T17:47:35.214693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
16.9%
i 22
 
8.9%
t 20
 
8.1%
a 20
 
8.1%
e 18
 
7.3%
n 14
 
5.6%
o 12
 
4.8%
l 9
 
3.6%
h 8
 
3.2%
g 8
 
3.2%
Other values (24) 75
30.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 248
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
42
16.9%
i 22
 
8.9%
t 20
 
8.1%
a 20
 
8.1%
e 18
 
7.3%
n 14
 
5.6%
o 12
 
4.8%
l 9
 
3.6%
h 8
 
3.2%
g 8
 
3.2%
Other values (24) 75
30.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 248
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
42
16.9%
i 22
 
8.9%
t 20
 
8.1%
a 20
 
8.1%
e 18
 
7.3%
n 14
 
5.6%
o 12
 
4.8%
l 9
 
3.6%
h 8
 
3.2%
g 8
 
3.2%
Other values (24) 75
30.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 248
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
42
16.9%
i 22
 
8.9%
t 20
 
8.1%
a 20
 
8.1%
e 18
 
7.3%
n 14
 
5.6%
o 12
 
4.8%
l 9
 
3.6%
h 8
 
3.2%
g 8
 
3.2%
Other values (24) 75
30.2%

w3_A08
Text

Missing 

Other considerations about the experiment________________

Distinct7
Distinct (%)100.0%
Missing8
Missing (%)53.3%
Memory size1.7 KiB
2025-02-26T17:47:35.343695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length393
Median length207
Mean length207
Min length41

Characters and Unicode

Total characters1449
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rownothing special besides my comments above
2nd rowThe app makes my device to crash sometimes, which never happens otherwise. Just when I started to use the app. It's annoying because suddenly freezes and it takes very long to restart my cellphone in this situation (I'm not sure if it's a hardware problem or specifically the app making the reboot way slower). This had happened aprox. 5 times in total.
3rd rowIt would be amazing if instead of logging every 30 minutes it would be every hour instead. Having it be every 30 minutes can be so annnoying because it feels like you constantly has to check in with the application. Also, I can't find the option with sleep that has been talked about in the e-mails, but it would be nice to have in general for multiple hour tasks such as working and studying.
4th rowQuestion "Who are you with?" caused some difficulties. For ex., if I sleep in my room, while relatives are in other rooms in the same apartment or if I am surrounded by other people in a supermarket, am I considered to be alone or with others?
5th rowI wish that questions wouldn't expire after a certain amount of hours, because sometimes I don't have time in the morning to fill out the logs, but if I don't, they will expire before I have the time to log.
ValueCountFrequency (%)
the 14
 
5.3%
i 11
 
4.1%
in 10
 
3.8%
to 9
 
3.4%
it 9
 
3.4%
be 6
 
2.3%
my 5
 
1.9%
if 5
 
1.9%
app 4
 
1.5%
with 4
 
1.5%
Other values (144) 189
71.1%
2025-02-26T17:47:35.520296image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
17.9%
e 141
 
9.7%
t 111
 
7.7%
o 88
 
6.1%
i 87
 
6.0%
a 84
 
5.8%
n 77
 
5.3%
s 73
 
5.0%
r 55
 
3.8%
h 53
 
3.7%
Other values (35) 421
29.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1449
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
259
17.9%
e 141
 
9.7%
t 111
 
7.7%
o 88
 
6.1%
i 87
 
6.0%
a 84
 
5.8%
n 77
 
5.3%
s 73
 
5.0%
r 55
 
3.8%
h 53
 
3.7%
Other values (35) 421
29.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1449
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
259
17.9%
e 141
 
9.7%
t 111
 
7.7%
o 88
 
6.1%
i 87
 
6.0%
a 84
 
5.8%
n 77
 
5.3%
s 73
 
5.0%
r 55
 
3.8%
h 53
 
3.7%
Other values (35) 421
29.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1449
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
259
17.9%
e 141
 
9.7%
t 111
 
7.7%
o 88
 
6.1%
i 87
 
6.0%
a 84
 
5.8%
n 77
 
5.3%
s 73
 
5.0%
r 55
 
3.8%
h 53
 
3.7%
Other values (35) 421
29.1%

w3_B01_1
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Writing is a natural way for me to express myself.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.933333333
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:35.568520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q33.5
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.099783528
Coefficient of variation (CV)0.3749262029
Kurtosis-0.4351693319
Mean2.933333333
Median Absolute Deviation (MAD)1
Skewness0.8916462031
Sum44
Variance1.20952381
MonotonicityNot monotonic
2025-02-26T17:47:35.606476image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7
46.7%
3 4
26.7%
5 2
 
13.3%
4 2
 
13.3%
ValueCountFrequency (%)
2 7
46.7%
3 4
26.7%
4 2
 
13.3%
5 2
 
13.3%
ValueCountFrequency (%)
5 2
 
13.3%
4 2
 
13.3%
3 4
26.7%
2 7
46.7%

w3_B01_2
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.533333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:35.645715image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12.5
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.35576371
Coefficient of variation (CV)0.3837067105
Kurtosis-1.125161853
Mean3.533333333
Median Absolute Deviation (MAD)1
Skewness-0.3786441023
Sum53
Variance1.838095238
MonotonicityNot monotonic
2025-02-26T17:47:35.686274image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 5
33.3%
3 3
20.0%
4 3
20.0%
2 3
20.0%
1 1
 
6.7%
ValueCountFrequency (%)
1 1
 
6.7%
2 3
20.0%
3 3
20.0%
4 3
20.0%
5 5
33.3%
ValueCountFrequency (%)
5 5
33.3%
4 3
20.0%
3 3
20.0%
2 3
20.0%
1 1
 
6.7%

w3_B01_3
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I have recently written something that I am especially proud of, or for which I have received recognition.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:35.726794image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.521277659
Coefficient of variation (CV)0.5433134495
Kurtosis-1.355386726
Mean2.8
Median Absolute Deviation (MAD)1
Skewness0.247205613
Sum42
Variance2.314285714
MonotonicityNot monotonic
2025-02-26T17:47:35.766910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 4
26.7%
3 3
20.0%
5 3
20.0%
2 3
20.0%
4 2
13.3%
ValueCountFrequency (%)
1 4
26.7%
2 3
20.0%
3 3
20.0%
4 2
13.3%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 2
13.3%
3 3
20.0%
2 3
20.0%
1 4
26.7%

w3_B01_4
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Metaphors and vivid verbal expressions help me learn efficiently.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.466666667
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:35.804666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9904304019
Coefficient of variation (CV)0.2857010775
Kurtosis-0.752952863
Mean3.466666667
Median Absolute Deviation (MAD)1
Skewness0.3604320125
Sum52
Variance0.980952381
MonotonicityNot monotonic
2025-02-26T17:47:35.843510image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 7
46.7%
5 3
20.0%
4 3
20.0%
2 2
 
13.3%
ValueCountFrequency (%)
2 2
 
13.3%
3 7
46.7%
4 3
20.0%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 3
20.0%
3 7
46.7%
2 2
 
13.3%

w3_B01_5
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school I was good at mathematics, physics or chemistry.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.733333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:35.881798image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33.5
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.334523279
Coefficient of variation (CV)0.4882402239
Kurtosis-0.7827702339
Mean2.733333333
Median Absolute Deviation (MAD)1
Skewness0.3547841513
Sum41
Variance1.780952381
MonotonicityNot monotonic
2025-02-26T17:47:35.922512image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4
26.7%
2 4
26.7%
1 3
20.0%
5 2
13.3%
4 2
13.3%
ValueCountFrequency (%)
1 3
20.0%
2 4
26.7%
3 4
26.7%
4 2
13.3%
5 2
13.3%
ValueCountFrequency (%)
5 2
13.3%
4 2
13.3%
3 4
26.7%
2 4
26.7%
1 3
20.0%

w3_B01_6
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can work with and solve complex problems.

Distinct3
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.666666667
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:35.963240image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q34
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8164965809
Coefficient of variation (CV)0.2226808857
Kurtosis-1.021978022
Mean3.666666667
Median Absolute Deviation (MAD)0
Skewness0.7402304168
Sum55
Variance0.6666666667
MonotonicityNot monotonic
2025-02-26T17:47:36.003092image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
3 8
53.3%
4 4
26.7%
5 3
 
20.0%
ValueCountFrequency (%)
3 8
53.3%
4 4
26.7%
5 3
 
20.0%
ValueCountFrequency (%)
5 3
 
20.0%
4 4
26.7%
3 8
53.3%

w3_B01_7
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Mental arithmetic is easy for me

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.333333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.043483image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median3
Q34.5
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.345185418
Coefficient of variation (CV)0.4035556255
Kurtosis-1.293202642
Mean3.333333333
Median Absolute Deviation (MAD)1
Skewness-0.09781472917
Sum50
Variance1.80952381
MonotonicityNot monotonic
2025-02-26T17:47:36.083411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 4
26.7%
2 4
26.7%
4 3
20.0%
3 3
20.0%
1 1
 
6.7%
ValueCountFrequency (%)
1 1
 
6.7%
2 4
26.7%
3 3
20.0%
4 3
20.0%
5 4
26.7%
ValueCountFrequency (%)
5 4
26.7%
4 3
20.0%
3 3
20.0%
2 4
26.7%
1 1
 
6.7%

w3_B01_8
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at games and problem solving, which require logical thinking.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.122111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.082325539
Coefficient of variation (CV)0.2848225101
Kurtosis-1.125932366
Mean3.8
Median Absolute Deviation (MAD)1
Skewness-0.3276247397
Sum57
Variance1.171428571
MonotonicityNot monotonic
2025-02-26T17:47:36.159056image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 5
33.3%
3 4
26.7%
4 4
26.7%
2 2
 
13.3%
ValueCountFrequency (%)
2 2
 
13.3%
3 4
26.7%
4 4
26.7%
5 5
33.3%
ValueCountFrequency (%)
5 5
33.3%
4 4
26.7%
3 4
26.7%
2 2
 
13.3%

w3_B01_9
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.196398image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33.5
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.146423008
Coefficient of variation (CV)0.4094367887
Kurtosis-0.4427802821
Mean2.8
Median Absolute Deviation (MAD)1
Skewness0.1181514188
Sum42
Variance1.314285714
MonotonicityNot monotonic
2025-02-26T17:47:36.237676image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 5
33.3%
2 4
26.7%
4 3
20.0%
1 2
 
13.3%
5 1
 
6.7%
ValueCountFrequency (%)
1 2
 
13.3%
2 4
26.7%
3 5
33.3%
4 3
20.0%
5 1
 
6.7%
ValueCountFrequency (%)
5 1
 
6.7%
4 3
20.0%
3 5
33.3%
2 4
26.7%
1 2
 
13.3%

w3_B01_10
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is easy for me to conceptualize complex and multidimensional patterns.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.333333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.277462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.175139303
Coefficient of variation (CV)0.3525417908
Kurtosis-0.3246135553
Mean3.333333333
Median Absolute Deviation (MAD)1
Skewness-0.1467177489
Sum50
Variance1.380952381
MonotonicityNot monotonic
2025-02-26T17:47:36.319291image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 6
40.0%
4 3
20.0%
5 3
20.0%
2 2
 
13.3%
1 1
 
6.7%
ValueCountFrequency (%)
1 1
 
6.7%
2 2
 
13.3%
3 6
40.0%
4 3
20.0%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 3
20.0%
3 6
40.0%
2 2
 
13.3%
1 1
 
6.7%

w3_B01_11
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily imagine how a landscape looks from a bird’s-eye view.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.666666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.359425image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.496026483
Coefficient of variation (CV)0.4080072227
Kurtosis-0.790507365
Mean3.666666667
Median Absolute Deviation (MAD)1
Skewness-0.8150341027
Sum55
Variance2.238095238
MonotonicityNot monotonic
2025-02-26T17:47:36.401111image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 6
40.0%
4 4
26.7%
2 2
 
13.3%
1 2
 
13.3%
3 1
 
6.7%
ValueCountFrequency (%)
1 2
 
13.3%
2 2
 
13.3%
3 1
 
6.7%
4 4
26.7%
5 6
40.0%
ValueCountFrequency (%)
5 6
40.0%
4 4
26.7%
3 1
 
6.7%
2 2
 
13.3%
1 2
 
13.3%

w3_B01_12
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When I read, I form illustrative pictures or designs in my mind.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.439659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.7
Q13.5
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.014185106
Coefficient of variation (CV)0.2414726442
Kurtosis-0.349002849
Mean4.2
Median Absolute Deviation (MAD)0
Skewness-0.9291279147
Sum63
Variance1.028571429
MonotonicityNot monotonic
2025-02-26T17:47:36.475625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 8
53.3%
3 3
 
20.0%
4 3
 
20.0%
2 1
 
6.7%
ValueCountFrequency (%)
2 1
 
6.7%
3 3
 
20.0%
4 3
 
20.0%
5 8
53.3%
ValueCountFrequency (%)
5 8
53.3%
4 3
 
20.0%
3 3
 
20.0%
2 1
 
6.7%

w3_B01_13
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am handy.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.511920image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.7
Q13
median3
Q34.5
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.9856107606
Coefficient of variation (CV)0.2737807668
Kurtosis-1.089965398
Mean3.6
Median Absolute Deviation (MAD)0
Skewness0.4545037644
Sum54
Variance0.9714285714
MonotonicityNot monotonic
2025-02-26T17:47:36.547731image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 8
53.3%
5 4
26.7%
4 2
 
13.3%
2 1
 
6.7%
ValueCountFrequency (%)
2 1
 
6.7%
3 8
53.3%
4 2
 
13.3%
5 4
26.7%
ValueCountFrequency (%)
5 4
26.7%
4 2
 
13.3%
3 8
53.3%
2 1
 
6.7%

w3_B01_14
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily do something concrete with my hands (e.g. knitting and woodwork)

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.583433image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13.5
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.069044968
Coefficient of variation (CV)0.2672612419
Kurtosis-0.4038461538
Mean4
Median Absolute Deviation (MAD)1
Skewness-0.8094931846
Sum60
Variance1.142857143
MonotonicityNot monotonic
2025-02-26T17:47:36.621536image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 6
40.0%
4 5
33.3%
3 2
 
13.3%
2 2
 
13.3%
ValueCountFrequency (%)
2 2
 
13.3%
3 2
 
13.3%
4 5
33.3%
5 6
40.0%
ValueCountFrequency (%)
5 6
40.0%
4 5
33.3%
3 2
 
13.3%
2 2
 
13.3%

w3_B01_15
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at showing how to do something in practice.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.666666667
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.657813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9759000729
Coefficient of variation (CV)0.2661545653
Kurtosis-0.6461538462
Mean3.666666667
Median Absolute Deviation (MAD)1
Skewness-0.2758794437
Sum55
Variance0.9523809524
MonotonicityNot monotonic
2025-02-26T17:47:36.696316image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 6
40.0%
3 4
26.7%
5 3
20.0%
2 2
 
13.3%
ValueCountFrequency (%)
2 2
 
13.3%
3 4
26.7%
4 6
40.0%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 6
40.0%
3 4
26.7%
2 2
 
13.3%

w3_B01_16
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I was good at handicrafts at school.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.066666667
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.732759image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.7
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.032795559
Coefficient of variation (CV)0.2539661211
Kurtosis-0.9941620879
Mean4.066666667
Median Absolute Deviation (MAD)1
Skewness-0.5978386038
Sum61
Variance1.066666667
MonotonicityNot monotonic
2025-02-26T17:47:36.770589image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 7
46.7%
3 4
26.7%
4 3
20.0%
2 1
 
6.7%
ValueCountFrequency (%)
2 1
 
6.7%
3 4
26.7%
4 3
20.0%
5 7
46.7%
ValueCountFrequency (%)
5 7
46.7%
4 3
20.0%
3 4
26.7%
2 1
 
6.7%

w3_B01_17
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : After hearing a tune once or twice I am able to sing or whistle it quite accurately.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.066666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.809634image/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 deviation1.279880947
Coefficient of variation (CV)0.4173524827
Kurtosis-0.8474435246
Mean3.066666667
Median Absolute Deviation (MAD)1
Skewness-0.1411692125
Sum46
Variance1.638095238
MonotonicityNot monotonic
2025-02-26T17:47:36.849411image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4
26.7%
4 4
26.7%
2 3
20.0%
1 2
13.3%
5 2
13.3%
ValueCountFrequency (%)
1 2
13.3%
2 3
20.0%
3 4
26.7%
4 4
26.7%
5 2
13.3%
ValueCountFrequency (%)
5 2
13.3%
4 4
26.7%
3 4
26.7%
2 3
20.0%
1 2
13.3%

w3_B01_18
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When listening to music, I am able to discern instruments or recognize melodies.

Distinct5
Distinct (%)35.7%
Missing1
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean3.571428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.889367image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34.75
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.398586414
Coefficient of variation (CV)0.3916041958
Kurtosis-0.3039216811
Mean3.571428571
Median Absolute Deviation (MAD)1
Skewness-0.8596159518
Sum50
Variance1.956043956
MonotonicityNot monotonic
2025-02-26T17:47:36.929708image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 5
33.3%
5 4
26.7%
3 2
 
13.3%
1 2
 
13.3%
2 1
 
6.7%
(Missing) 1
 
6.7%
ValueCountFrequency (%)
1 2
 
13.3%
2 1
 
6.7%
3 2
 
13.3%
4 5
33.3%
5 4
26.7%
ValueCountFrequency (%)
5 4
26.7%
4 5
33.3%
3 2
 
13.3%
2 1
 
6.7%
1 2
 
13.3%

w3_B01_19
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily keep the rhythm when drumming a melody.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.133333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:36.969107image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.35576371
Coefficient of variation (CV)0.4326905458
Kurtosis-1.307304068
Mean3.133333333
Median Absolute Deviation (MAD)1
Skewness-0.2754577049
Sum47
Variance1.838095238
MonotonicityNot monotonic
2025-02-26T17:47:37.011590image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 6
40.0%
2 4
26.7%
5 2
 
13.3%
1 2
 
13.3%
3 1
 
6.7%
ValueCountFrequency (%)
1 2
 
13.3%
2 4
26.7%
3 1
 
6.7%
4 6
40.0%
5 2
 
13.3%
ValueCountFrequency (%)
5 2
 
13.3%
4 6
40.0%
3 1
 
6.7%
2 4
26.7%
1 2
 
13.3%

w3_B01_20
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I notice immediately if a melody is out of tune

Distinct5
Distinct (%)35.7%
Missing1
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean3.285714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.051351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.25
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.325987088
Coefficient of variation (CV)0.4035612877
Kurtosis-0.7174005682
Mean3.285714286
Median Absolute Deviation (MAD)1
Skewness-0.6127510646
Sum46
Variance1.758241758
MonotonicityNot monotonic
2025-02-26T17:47:37.151492image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 6
40.0%
5 2
 
13.3%
2 2
 
13.3%
3 2
 
13.3%
1 2
 
13.3%
(Missing) 1
 
6.7%
ValueCountFrequency (%)
1 2
 
13.3%
2 2
 
13.3%
3 2
 
13.3%
4 6
40.0%
5 2
 
13.3%
ValueCountFrequency (%)
5 2
 
13.3%
4 6
40.0%
3 2
 
13.3%
2 2
 
13.3%
1 2
 
13.3%

w3_B01_21
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even in strange company, I easily find someone to talk to.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.866666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.191712image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.505545305
Coefficient of variation (CV)0.5251902228
Kurtosis-1.306703677
Mean2.866666667
Median Absolute Deviation (MAD)1
Skewness0.1142082545
Sum43
Variance2.266666667
MonotonicityNot monotonic
2025-02-26T17:47:37.231921image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 4
26.7%
1 4
26.7%
5 3
20.0%
2 2
13.3%
4 2
13.3%
ValueCountFrequency (%)
1 4
26.7%
2 2
13.3%
3 4
26.7%
4 2
13.3%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 2
13.3%
3 4
26.7%
2 2
13.3%
1 4
26.7%

w3_B01_22
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I get alone easily with different types of people.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.266666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.270910image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.334523279
Coefficient of variation (CV)0.4085275342
Kurtosis-1.420257943
Mean3.266666667
Median Absolute Deviation (MAD)1
Skewness-0.1467222033
Sum49
Variance1.780952381
MonotonicityNot monotonic
2025-02-26T17:47:37.311151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 5
33.3%
2 5
33.3%
5 3
20.0%
3 1
 
6.7%
1 1
 
6.7%
ValueCountFrequency (%)
1 1
 
6.7%
2 5
33.3%
3 1
 
6.7%
4 5
33.3%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 5
33.3%
3 1
 
6.7%
2 5
33.3%
1 1
 
6.7%

w3_B01_23
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I make contact easily with other people.

Distinct4
Distinct (%)28.6%
Missing1
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean3.571428571
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.349865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12.25
median3.5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.283881478
Coefficient of variation (CV)0.3594868137
Kurtosis-1.786909091
Mean3.571428571
Median Absolute Deviation (MAD)1.5
Skewness-0.0571184604
Sum50
Variance1.648351648
MonotonicityNot monotonic
2025-02-26T17:47:37.386255image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 5
33.3%
2 4
26.7%
3 3
20.0%
4 2
 
13.3%
(Missing) 1
 
6.7%
ValueCountFrequency (%)
2 4
26.7%
3 3
20.0%
4 2
 
13.3%
5 5
33.3%
ValueCountFrequency (%)
5 5
33.3%
4 2
 
13.3%
3 3
20.0%
2 4
26.7%

w3_B01_24
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In negotiations and group work, I am able to support the group to find a consensus.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.866666667
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.422811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13.5
median4
Q34.5
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9904304019
Coefficient of variation (CV)0.2561457936
Kurtosis-0.1134377923
Mean3.866666667
Median Absolute Deviation (MAD)1
Skewness-0.7186018994
Sum58
Variance0.980952381
MonotonicityNot monotonic
2025-02-26T17:47:37.460442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 7
46.7%
5 4
26.7%
2 2
 
13.3%
3 2
 
13.3%
ValueCountFrequency (%)
2 2
 
13.3%
3 2
 
13.3%
4 7
46.7%
5 4
26.7%
ValueCountFrequency (%)
5 4
26.7%
4 7
46.7%
3 2
 
13.3%
2 2
 
13.3%

w3_B01_25
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am able to analyse my own motives and ways of action.

Distinct4
Distinct (%)28.6%
Missing1
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean3.714285714
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.497068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9944903162
Coefficient of variation (CV)0.2677473928
Kurtosis-0.5515151515
Mean3.714285714
Median Absolute Deviation (MAD)1
Skewness-0.4245614214
Sum52
Variance0.989010989
MonotonicityNot monotonic
2025-02-26T17:47:37.534884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 6
40.0%
5 3
20.0%
3 3
20.0%
2 2
 
13.3%
(Missing) 1
 
6.7%
ValueCountFrequency (%)
2 2
 
13.3%
3 3
20.0%
4 6
40.0%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 6
40.0%
3 3
20.0%
2 2
 
13.3%

w3_B01_26
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often think about my own feelings and sentiments and seek reasons for them.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.733333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.572673image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.437590577
Coefficient of variation (CV)0.3850689045
Kurtosis-0.2519696744
Mean3.733333333
Median Absolute Deviation (MAD)1
Skewness-0.9589581171
Sum56
Variance2.066666667
MonotonicityNot monotonic
2025-02-26T17:47:37.614328image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 6
40.0%
4 4
26.7%
3 2
 
13.3%
1 2
 
13.3%
2 1
 
6.7%
ValueCountFrequency (%)
1 2
 
13.3%
2 1
 
6.7%
3 2
 
13.3%
4 4
26.7%
5 6
40.0%
ValueCountFrequency (%)
5 6
40.0%
4 4
26.7%
3 2
 
13.3%
2 1
 
6.7%
1 2
 
13.3%

w3_B01_27
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I spend time regularly reflecting on the important issues in life.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.733333333
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.652858image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9611501047
Coefficient of variation (CV)0.2574509209
Kurtosis-0.3339274181
Mean3.733333333
Median Absolute Deviation (MAD)1
Skewness-0.4983456072
Sum56
Variance0.9238095238
MonotonicityNot monotonic
2025-02-26T17:47:37.691129image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 7
46.7%
3 3
20.0%
5 3
20.0%
2 2
 
13.3%
ValueCountFrequency (%)
2 2
 
13.3%
3 3
20.0%
4 7
46.7%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 7
46.7%
3 3
20.0%
2 2
 
13.3%

w3_B01_28
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I like to read psychological or philosophical literature to increase my self-knowledge.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.133333333
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.727774image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.245945806
Coefficient of variation (CV)0.3976422786
Kurtosis-1.504486142
Mean3.133333333
Median Absolute Deviation (MAD)1
Skewness0.4802740749
Sum47
Variance1.552380952
MonotonicityNot monotonic
2025-02-26T17:47:37.765455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 7
46.7%
4 3
20.0%
5 3
20.0%
3 2
 
13.3%
ValueCountFrequency (%)
2 7
46.7%
3 2
 
13.3%
4 3
20.0%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 3
20.0%
3 2
 
13.3%
2 7
46.7%

w3_B01_29
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I enjoy the beauty and experiences related to nature.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.802841image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.082325539
Coefficient of variation (CV)0.2576965568
Kurtosis0.411613966
Mean4.2
Median Absolute Deviation (MAD)0
Skewness-1.232493069
Sum63
Variance1.171428571
MonotonicityNot monotonic
2025-02-26T17:47:37.838753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 8
53.3%
4 4
26.7%
2 2
 
13.3%
3 1
 
6.7%
ValueCountFrequency (%)
2 2
 
13.3%
3 1
 
6.7%
4 4
26.7%
5 8
53.3%
ValueCountFrequency (%)
5 8
53.3%
4 4
26.7%
3 1
 
6.7%
2 2
 
13.3%

w3_B01_30
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Protecting the nature is important to me.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.333333333
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.874199image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.7
Q14
median5
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9759000729
Coefficient of variation (CV)0.2252077091
Kurtosis0.8076923077
Mean4.333333333
Median Absolute Deviation (MAD)0
Skewness-1.320280195
Sum65
Variance0.9523809524
MonotonicityNot monotonic
2025-02-26T17:47:37.910884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 9
60.0%
4 3
 
20.0%
3 2
 
13.3%
2 1
 
6.7%
ValueCountFrequency (%)
2 1
 
6.7%
3 2
 
13.3%
4 3
 
20.0%
5 9
60.0%
ValueCountFrequency (%)
5 9
60.0%
4 3
 
20.0%
3 2
 
13.3%
2 1
 
6.7%

w3_B01_31
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I pay attention to my consumption habits in order to protect environment.

Distinct4
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.733333333
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:37.946258image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.7
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8837151017
Coefficient of variation (CV)0.2367094022
Kurtosis-0.4852880611
Mean3.733333333
Median Absolute Deviation (MAD)1
Skewness-0.1157063028
Sum56
Variance0.780952381
MonotonicityNot monotonic
2025-02-26T17:47:37.984278image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 6
40.0%
3 5
33.3%
5 3
20.0%
2 1
 
6.7%
ValueCountFrequency (%)
2 1
 
6.7%
3 5
33.3%
4 6
40.0%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 6
40.0%
3 5
33.3%
2 1
 
6.7%

w3_B01_32
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In midst of busy everyday life, I find it important to contemplate.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.266666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.022716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q13
median3
Q34
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.032795559
Coefficient of variation (CV)0.3161619058
Kurtosis0.3193681319
Mean3.266666667
Median Absolute Deviation (MAD)1
Skewness-0.615793712
Sum49
Variance1.066666667
MonotonicityNot monotonic
2025-02-26T17:47:38.064385image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 6
40.0%
3 5
33.3%
2 2
 
13.3%
5 1
 
6.7%
1 1
 
6.7%
ValueCountFrequency (%)
1 1
 
6.7%
2 2
 
13.3%
3 5
33.3%
4 6
40.0%
5 1
 
6.7%
ValueCountFrequency (%)
5 1
 
6.7%
4 6
40.0%
3 5
33.3%
2 2
 
13.3%
1 1
 
6.7%

w3_B01_33
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even ordinary every-day life is full of miraculous things.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.104524image/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 deviation1.362770288
Coefficient of variation (CV)0.4542567626
Kurtosis-1.411470187
Mean3
Median Absolute Deviation (MAD)1
Skewness0
Sum45
Variance1.857142857
MonotonicityNot monotonic
2025-02-26T17:47:38.144989image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 5
33.3%
4 5
33.3%
5 2
 
13.3%
1 2
 
13.3%
3 1
 
6.7%
ValueCountFrequency (%)
1 2
 
13.3%
2 5
33.3%
3 1
 
6.7%
4 5
33.3%
5 2
 
13.3%
ValueCountFrequency (%)
5 2
 
13.3%
4 5
33.3%
3 1
 
6.7%
2 5
33.3%
1 2
 
13.3%

w3_B01_34
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often reflect on the meaning of life.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.266666667
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.185298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12.5
median4
Q34
95-th percentile4.3
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.099783528
Coefficient of variation (CV)0.3366684271
Kurtosis-0.375076904
Mean3.266666667
Median Absolute Deviation (MAD)1
Skewness-0.6091171715
Sum49
Variance1.20952381
MonotonicityNot monotonic
2025-02-26T17:47:38.226789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 7
46.7%
2 3
20.0%
3 3
20.0%
5 1
 
6.7%
1 1
 
6.7%
ValueCountFrequency (%)
1 1
 
6.7%
2 3
20.0%
3 3
20.0%
4 7
46.7%
5 1
 
6.7%
ValueCountFrequency (%)
5 1
 
6.7%
4 7
46.7%
3 3
20.0%
2 3
20.0%
1 1
 
6.7%

w3_B01_35
Real number (ℝ)

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is important to me to share a quiet moment with others.

Distinct5
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.333333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.267944image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.7
Q12.5
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.2344268
Coefficient of variation (CV)0.3703280399
Kurtosis-0.7824519231
Mean3.333333333
Median Absolute Deviation (MAD)1
Skewness-0.2142071745
Sum50
Variance1.523809524
MonotonicityNot monotonic
2025-02-26T17:47:38.307939image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 4
26.7%
3 4
26.7%
2 3
20.0%
5 3
20.0%
1 1
 
6.7%
ValueCountFrequency (%)
1 1
 
6.7%
2 3
20.0%
3 4
26.7%
4 4
26.7%
5 3
20.0%
ValueCountFrequency (%)
5 3
20.0%
4 4
26.7%
3 4
26.7%
2 3
20.0%
1 1
 
6.7%

w3_C01
Real number (ℝ)

As a last question we would like to ask you about your Body Mass Index (BMI). This is a standard measure used in health studies related to nutrition. Do you agree to answer? 1. Yes 2. No

Distinct2
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.066666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.347328image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.3
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2581988897
Coefficient of variation (CV)0.2420614591
Kurtosis15
Mean1.066666667
Median Absolute Deviation (MAD)0
Skewness3.872983346
Sum16
Variance0.06666666667
MonotonicityNot monotonic
2025-02-26T17:47:38.386753image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 14
93.3%
2 1
 
6.7%
ValueCountFrequency (%)
1 14
93.3%
2 1
 
6.7%
ValueCountFrequency (%)
2 1
 
6.7%
1 14
93.3%

w3_C02
Real number (ℝ)

Missing 

What is your BMI level? [Use the formula BMI = mass/(height x height) to calculate your BMI, where mass should be in kilograms and height should be in meters. Example: if your height is 1.6m and your weight is 52kg, your BMI would be 52/(1.6x1.6)=20.3.] 1. BMI < 18.5 2. BMI in range [18.5 – 24.9] 3. BMI in range [25.0 - 29.9] 4. BMI > 30.0

Distinct2
Distinct (%)14.3%
Missing1
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean2.285714286
Minimum2
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.424121image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32.75
95-th percentile3
Maximum3
Range1
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation0.4688072309
Coefficient of variation (CV)0.2051031635
Kurtosis-1.034090909
Mean2.285714286
Median Absolute Deviation (MAD)0
Skewness1.06653645
Sum32
Variance0.2197802198
MonotonicityNot monotonic
2025-02-26T17:47:38.462490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 10
66.7%
3 4
 
26.7%
(Missing) 1
 
6.7%
ValueCountFrequency (%)
2 10
66.7%
3 4
 
26.7%
ValueCountFrequency (%)
3 4
 
26.7%
2 10
66.7%

w3_D01
Real number (ℝ)

In the coming months the WeNet team will continue its data collection and App testing activities. We would like to ask if we can contact you to participate in these activities. Your consent does not imply any obligation on your part, and you can decline the invitation at any time. 1. Yes, I agree to be contacted to participate in other data collection and App testing activities 2. No, I am not interested in continuing to participate in other App testing and data collection activities

Distinct2
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.066666667
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.498956image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1.3
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2581988897
Coefficient of variation (CV)0.2420614591
Kurtosis15
Mean1.066666667
Median Absolute Deviation (MAD)0
Skewness3.872983346
Sum16
Variance0.06666666667
MonotonicityNot monotonic
2025-02-26T17:47:38.537743image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 14
93.3%
2 1
 
6.7%
ValueCountFrequency (%)
1 14
93.3%
2 1
 
6.7%
ValueCountFrequency (%)
2 1
 
6.7%
1 14
93.3%

w3_interviewtime
Real number (ℝ)

Unique 

interviewtime

Distinct15
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1083.99
Minimum224.52
Maximum5186.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.577542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum224.52
5-th percentile276.985
Q1371.695
median628.03
Q31215.005
95-th percentile2988.014
Maximum5186.7
Range4962.18
Interquartile range (IQR)843.31

Descriptive statistics

Standard deviation1270.302094
Coefficient of variation (CV)1.171876211
Kurtosis8.332724045
Mean1083.99
Median Absolute Deviation (MAD)321.43
Skewness2.717573782
Sum16259.85
Variance1613667.411
MonotonicityNot monotonic
2025-02-26T17:47:38.619318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2045.72 1
 
6.7%
5186.7 1
 
6.7%
394.99 1
 
6.7%
762.67 1
 
6.7%
1345.62 1
 
6.7%
306.6 1
 
6.7%
1896.38 1
 
6.7%
407.05 1
 
6.7%
628.03 1
 
6.7%
224.52 1
 
6.7%
Other values (5) 5
33.3%
ValueCountFrequency (%)
224.52 1
6.7%
299.47 1
6.7%
306.6 1
6.7%
348.4 1
6.7%
394.99 1
6.7%
ValueCountFrequency (%)
5186.7 1
6.7%
2045.72 1
6.7%
1896.38 1
6.7%
1345.62 1
6.7%
1084.39 1
6.7%

w3_GT_A
Real number (ℝ)

Unique 

Distinct15
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296.076
Minimum47.94
Maximum1040.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.660666image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum47.94
5-th percentile68.828
Q1106.895
median203.9
Q3314.855
95-th percentile903.622
Maximum1040.36
Range992.42
Interquartile range (IQR)207.96

Descriptive statistics

Standard deviation287.5745541
Coefficient of variation (CV)0.9712862714
Kurtosis2.816858052
Mean296.076
Median Absolute Deviation (MAD)106.05
Skewness1.822841776
Sum4441.14
Variance82699.12417
MonotonicityNot monotonic
2025-02-26T17:47:38.701052image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
450.55 1
 
6.7%
187.29 1
 
6.7%
127.74 1
 
6.7%
347.38 1
 
6.7%
1040.36 1
 
6.7%
85.52 1
 
6.7%
845.02 1
 
6.7%
47.94 1
 
6.7%
265.23 1
 
6.7%
77.78 1
 
6.7%
Other values (5) 5
33.3%
ValueCountFrequency (%)
47.94 1
6.7%
77.78 1
6.7%
85.52 1
6.7%
97.85 1
6.7%
115.94 1
6.7%
ValueCountFrequency (%)
1040.36 1
6.7%
845.02 1
6.7%
450.55 1
6.7%
347.38 1
6.7%
282.33 1
6.7%

w3_GT_B
Real number (ℝ)

Unique 

Distinct15
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.28
Minimum50.6
Maximum1442.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.739284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum50.6
5-th percentile96.94
Q1172.535
median261.85
Q3347.62
95-th percentile1084.003
Maximum1442.06
Range1391.46
Interquartile range (IQR)175.085

Descriptive statistics

Standard deviation385.0000282
Coefficient of variation (CV)0.9839501844
Kurtosis3.156025851
Mean391.28
Median Absolute Deviation (MAD)105.57
Skewness1.895842696
Sum5869.2
Variance148225.0217
MonotonicityNot monotonic
2025-02-26T17:47:38.780301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1442.06 1
 
6.7%
405.82 1
 
6.7%
139.3 1
 
6.7%
289.42 1
 
6.7%
261.85 1
 
6.7%
188.79 1
 
6.7%
930.55 1
 
6.7%
267.02 1
 
6.7%
259.2 1
 
6.7%
116.8 1
 
6.7%
Other values (5) 5
33.3%
ValueCountFrequency (%)
50.6 1
6.7%
116.8 1
6.7%
139.3 1
6.7%
156.28 1
6.7%
188.79 1
6.7%
ValueCountFrequency (%)
1442.06 1
6.7%
930.55 1
6.7%
866.46 1
6.7%
405.82 1
6.7%
289.42 1
6.7%

w3_GT_C
Real number (ℝ)

Unique 

Distinct15
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean381.1206667
Minimum11.52
Maximum4566.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.821484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum11.52
5-th percentile14.936
Q148.455
median93.95
Q3115.385
95-th percentile1482.978
Maximum4566.1
Range4554.58
Interquartile range (IQR)66.93

Descriptive statistics

Standard deviation1158.636586
Coefficient of variation (CV)3.040078083
Kurtosis14.94292489
Mean381.1206667
Median Absolute Deviation (MAD)29.2
Skewness3.862600734
Sum5716.81
Variance1342438.738
MonotonicityNot monotonic
2025-02-26T17:47:38.861416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
137.82 1
 
6.7%
4566.1 1
 
6.7%
121.11 1
 
6.7%
104.51 1
 
6.7%
11.52 1
 
6.7%
16.4 1
 
6.7%
106.27 1
 
6.7%
85.37 1
 
6.7%
86.86 1
 
6.7%
18.69 1
 
6.7%
Other values (5) 5
33.3%
ValueCountFrequency (%)
11.52 1
6.7%
16.4 1
6.7%
18.69 1
6.7%
32.16 1
6.7%
64.75 1
6.7%
ValueCountFrequency (%)
4566.1 1
6.7%
161.64 1
6.7%
137.82 1
6.7%
121.11 1
6.7%
109.66 1
6.7%

w3_GT_D
Real number (ℝ)

Unique 

Distinct15
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.51333333
Minimum6.72
Maximum31.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size267.0 B
2025-02-26T17:47:38.899682image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.72
5-th percentile6.804
Q111.34
median14.54
Q316.315
95-th percentile28.81
Maximum31.89
Range25.17
Interquartile range (IQR)4.975

Descriptive statistics

Standard deviation6.922555955
Coefficient of variation (CV)0.4462326572
Kurtosis1.334150171
Mean15.51333333
Median Absolute Deviation (MAD)3.11
Skewness1.162415869
Sum232.7
Variance47.92178095
MonotonicityNot monotonic
2025-02-26T17:47:38.938924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
15.29 1
 
6.7%
27.49 1
 
6.7%
6.84 1
 
6.7%
21.36 1
 
6.7%
31.89 1
 
6.7%
15.89 1
 
6.7%
14.54 1
 
6.7%
6.72 1
 
6.7%
16.74 1
 
6.7%
11.25 1
 
6.7%
Other values (5) 5
33.3%
ValueCountFrequency (%)
6.72 1
6.7%
6.84 1
6.7%
10.42 1
6.7%
11.25 1
6.7%
11.43 1
6.7%
ValueCountFrequency (%)
31.89 1
6.7%
27.49 1
6.7%
21.36 1
6.7%
16.74 1
6.7%
15.89 1
6.7%