Overview

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Dataset statistics

Number of variables62
Number of observations38
Missing cells712
Missing cells (%)30.2%
Total size in memory23.2 KiB
Average record size in memory624.1 B

Variable types

Text9
Numeric49
DateTime3
Unsupported1

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 "wenetIndia" Constant
w3_startlanguage has constant value "en" Constant
w3_refurl has constant value "android-gmail" Constant
w3_A03_other has constant value "Difficulty in choosing the options" Constant
w3_submitdate has 11 (28.9%) missing values Missing
w3_refurl has 30 (78.9%) missing values Missing
w3_A01 has 5 (13.2%) missing values Missing
w3_A02 has 6 (15.8%) missing values Missing
w3_A02_other has 22 (57.9%) missing values Missing
w3_A03 has 6 (15.8%) missing values Missing
w3_A03_other has 37 (97.4%) missing values Missing
w3_A04 has 31 (81.6%) missing values Missing
w3_A05 has 6 (15.8%) missing values Missing
w3_A06 has 36 (94.7%) missing values Missing
w3_A07 has 6 (15.8%) missing values Missing
w3_A07_other has 38 (100.0%) missing values Missing
w3_A08 has 28 (73.7%) missing values Missing
w3_B01_1 has 11 (28.9%) missing values Missing
w3_B01_2 has 11 (28.9%) missing values Missing
w3_B01_3 has 11 (28.9%) missing values Missing
w3_B01_4 has 11 (28.9%) missing values Missing
w3_B01_5 has 11 (28.9%) missing values Missing
w3_B01_6 has 11 (28.9%) missing values Missing
w3_B01_7 has 11 (28.9%) missing values Missing
w3_B01_8 has 11 (28.9%) missing values Missing
w3_B01_9 has 11 (28.9%) missing values Missing
w3_B01_10 has 11 (28.9%) missing values Missing
w3_B01_11 has 10 (26.3%) missing values Missing
w3_B01_12 has 11 (28.9%) missing values Missing
w3_B01_13 has 11 (28.9%) missing values Missing
w3_B01_14 has 11 (28.9%) missing values Missing
w3_B01_15 has 11 (28.9%) missing values Missing
w3_B01_16 has 11 (28.9%) missing values Missing
w3_B01_17 has 10 (26.3%) missing values Missing
w3_B01_18 has 10 (26.3%) missing values Missing
w3_B01_19 has 11 (28.9%) missing values Missing
w3_B01_20 has 11 (28.9%) missing values Missing
w3_B01_21 has 10 (26.3%) missing values Missing
w3_B01_22 has 11 (28.9%) missing values Missing
w3_B01_23 has 11 (28.9%) missing values Missing
w3_B01_24 has 11 (28.9%) missing values Missing
w3_B01_25 has 10 (26.3%) missing values Missing
w3_B01_26 has 11 (28.9%) missing values Missing
w3_B01_27 has 10 (26.3%) missing values Missing
w3_B01_28 has 11 (28.9%) missing values Missing
w3_B01_29 has 10 (26.3%) missing values Missing
w3_B01_30 has 12 (31.6%) missing values Missing
w3_B01_31 has 11 (28.9%) missing values Missing
w3_B01_32 has 11 (28.9%) missing values Missing
w3_B01_33 has 11 (28.9%) missing values Missing
w3_B01_34 has 11 (28.9%) missing values Missing
w3_B01_35 has 11 (28.9%) missing values Missing
w3_C01 has 11 (28.9%) missing values Missing
w3_C02 has 12 (31.6%) missing values Missing
w3_D01 has 11 (28.9%) missing values Missing
w3_GT_A has 5 (13.2%) missing values Missing
w3_GT_B has 10 (26.3%) missing values Missing
w3_GT_C has 11 (28.9%) missing values Missing
w3_GT_D has 11 (28.9%) missing values Missing
token has unique values Unique
w3_startdate has unique values Unique
w3_datestamp has unique values Unique
w3_A07_other is an unsupported type, check if it needs cleaning or further analysis Unsupported
w3_lastpage has 6 (15.8%) zeros Zeros
w3_interviewtime has 5 (13.2%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:47:18.035824
Analysis finished2025-02-26 16:47:18.164807
Duration0.13 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1006.0 B
2025-02-26T17:47:18.290522image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters570
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row5Wb1LGzaU6bVUL4
2nd row66e50qLznl0tWgK
3rd row6Ld8n500z1dJ0RS
4th row92t6eYKEupH5QNT
5th row9b6YtXSonB9z8ec
ValueCountFrequency (%)
5wb1lgzau6bvul4 1
 
2.6%
66e50qlznl0twgk 1
 
2.6%
6ld8n500z1dj0rs 1
 
2.6%
92t6eykeuph5qnt 1
 
2.6%
9b6ytxsonb9z8ec 1
 
2.6%
9nrdvv0tviyih4j 1
 
2.6%
9qmnfyvtpqdk3zx 1
 
2.6%
bqgpy3dc948fr3p 1
 
2.6%
bspxqyakvvjs34y 1
 
2.6%
dlyk0uv4hysi8ff 1
 
2.6%
Other values (28) 28
73.7%
2025-02-26T17:47:18.479947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 22
 
3.9%
S 16
 
2.8%
0 15
 
2.6%
4 14
 
2.5%
H 14
 
2.5%
k 14
 
2.5%
6 13
 
2.3%
K 13
 
2.3%
Y 13
 
2.3%
v 13
 
2.3%
Other values (52) 423
74.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 570
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 22
 
3.9%
S 16
 
2.8%
0 15
 
2.6%
4 14
 
2.5%
H 14
 
2.5%
k 14
 
2.5%
6 13
 
2.3%
K 13
 
2.3%
Y 13
 
2.3%
v 13
 
2.3%
Other values (52) 423
74.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 570
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 22
 
3.9%
S 16
 
2.8%
0 15
 
2.6%
4 14
 
2.5%
H 14
 
2.5%
k 14
 
2.5%
6 13
 
2.3%
K 13
 
2.3%
Y 13
 
2.3%
v 13
 
2.3%
Other values (52) 423
74.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 570
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 22
 
3.9%
S 16
 
2.8%
0 15
 
2.6%
4 14
 
2.5%
H 14
 
2.5%
k 14
 
2.5%
6 13
 
2.3%
K 13
 
2.3%
Y 13
 
2.3%
v 13
 
2.3%
Other values (52) 423
74.2%

w3_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size816.0 B
2025-02-26T17:47:18.549406image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters380
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetIndia
2nd rowwenetIndia
3rd rowwenetIndia
4th rowwenetIndia
5th rowwenetIndia
ValueCountFrequency (%)
wenetindia 38
100.0%
2025-02-26T17:47:18.664818image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 76
20.0%
n 76
20.0%
w 38
10.0%
t 38
10.0%
I 38
10.0%
d 38
10.0%
i 38
10.0%
a 38
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 380
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 76
20.0%
n 76
20.0%
w 38
10.0%
t 38
10.0%
I 38
10.0%
d 38
10.0%
i 38
10.0%
a 38
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 380
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 76
20.0%
n 76
20.0%
w 38
10.0%
t 38
10.0%
I 38
10.0%
d 38
10.0%
i 38
10.0%
a 38
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 380
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 76
20.0%
n 76
20.0%
w 38
10.0%
t 38
10.0%
I 38
10.0%
d 38
10.0%
i 38
10.0%
a 38
10.0%

w3_lastpage
Real number (ℝ)

Zeros 

lastpage

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.973684211
Minimum0
Maximum4
Zeros6
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:18.705690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.65197412
Coefficient of variation (CV)0.5555311199
Kurtosis-0.8052120135
Mean2.973684211
Median Absolute Deviation (MAD)0
Skewness-1.056959039
Sum113
Variance2.729018492
MonotonicityNot monotonic
2025-02-26T17:47:18.746008image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
4 27
71.1%
0 6
 
15.8%
1 5
 
13.2%
ValueCountFrequency (%)
0 6
 
15.8%
1 5
 
13.2%
4 27
71.1%
ValueCountFrequency (%)
4 27
71.1%
1 5
 
13.2%
0 6
 
15.8%

w3_submitdate
Date

Missing 

submitdate

Distinct27
Distinct (%)100.0%
Missing11
Missing (%)28.9%
Memory size436.0 B
Minimum2021-07-31 20:26:26
Maximum2021-08-03 09:38:17
2025-02-26T17:47:18.789062image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:18.831348image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

w3_startlanguage
Text

Constant 

startlanguage

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size512.0 B
2025-02-26T17:47:18.857177image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters76
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 38
100.0%
2025-02-26T17:47:18.928249image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 38
50.0%
n 38
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 38
50.0%
n 38
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 38
50.0%
n 38
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 76
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 38
50.0%
n 38
50.0%

w3_startdate
Date

Unique 

startdate

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2021-07-31 20:22:15
Maximum2021-08-12 10:44:04
2025-02-26T17:47:18.977294image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:19.031284image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

w3_datestamp
Date

Unique 

datestamp

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2021-07-31 20:24:25
Maximum2021-08-12 10:45:55
2025-02-26T17:47:19.081690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:19.134822image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

w3_refurl
Text

Constant  Missing 

refurl

Distinct1
Distinct (%)12.5%
Missing30
Missing (%)78.9%
Memory size545.0 B
2025-02-26T17:47:19.204052image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters104
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
3rd rowandroid-gmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 8
100.0%
2025-02-26T17:47:19.309455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 16
15.4%
d 16
15.4%
i 16
15.4%
n 8
7.7%
r 8
7.7%
o 8
7.7%
- 8
7.7%
g 8
7.7%
m 8
7.7%
l 8
7.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 104
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 16
15.4%
d 16
15.4%
i 16
15.4%
n 8
7.7%
r 8
7.7%
o 8
7.7%
- 8
7.7%
g 8
7.7%
m 8
7.7%
l 8
7.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 104
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 16
15.4%
d 16
15.4%
i 16
15.4%
n 8
7.7%
r 8
7.7%
o 8
7.7%
- 8
7.7%
g 8
7.7%
m 8
7.7%
l 8
7.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 104
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 16
15.4%
d 16
15.4%
i 16
15.4%
n 8
7.7%
r 8
7.7%
o 8
7.7%
- 8
7.7%
g 8
7.7%
m 8
7.7%
l 8
7.7%

w3_A01
Real number (ℝ)

Missing 

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 (%)6.1%
Missing5
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean1.696969697
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:19.350763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4666937222
Coefficient of variation (CV)0.2750159434
Kurtosis-1.27371669
Mean1.696969697
Median Absolute Deviation (MAD)0
Skewness-0.8985654162
Sum56
Variance0.2178030303
MonotonicityNot monotonic
2025-02-26T17:47:19.388221image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 23
60.5%
1 10
26.3%
(Missing) 5
 
13.2%
ValueCountFrequency (%)
1 10
26.3%
2 23
60.5%
ValueCountFrequency (%)
2 23
60.5%
1 10
26.3%

w3_A02
Real number (ℝ)

Missing 

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]

Distinct7
Distinct (%)21.9%
Missing6
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean5.84375
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:19.423448image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median7.5
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.397705556
Coefficient of variation (CV)0.4103025551
Kurtosis-1.574643216
Mean5.84375
Median Absolute Deviation (MAD)0.5
Skewness-0.4027317369
Sum187
Variance5.748991935
MonotonicityNot monotonic
2025-02-26T17:47:19.464223image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
8 16
42.1%
3 8
21.1%
4 4
 
10.5%
1 1
 
2.6%
6 1
 
2.6%
5 1
 
2.6%
7 1
 
2.6%
(Missing) 6
 
15.8%
ValueCountFrequency (%)
1 1
 
2.6%
3 8
21.1%
4 4
10.5%
5 1
 
2.6%
6 1
 
2.6%
ValueCountFrequency (%)
8 16
42.1%
7 1
 
2.6%
6 1
 
2.6%
5 1
 
2.6%
4 4
 
10.5%

w3_A02_other
Text

Missing 

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

Distinct12
Distinct (%)75.0%
Missing22
Missing (%)57.9%
Memory size547.0 B
2025-02-26T17:47:19.524633image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length20
Median length8
Mean length6.625
Min length4

Characters and Unicode

Total characters106
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)50.0%

Sample

1st rowVivo
2nd rowRedmi 9
3rd rowAndroid
4th rowReal me
5th rowNokia
ValueCountFrequency (%)
oppo 3
13.6%
vivo 2
 
9.1%
real 2
 
9.1%
me 2
 
9.1%
nokia 2
 
9.1%
oneplus 2
 
9.1%
redmi 1
 
4.5%
9 1
 
4.5%
android 1
 
4.5%
lg 1
 
4.5%
Other values (5) 5
22.7%
2025-02-26T17:47:19.636914image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 12
 
11.3%
e 11
 
10.4%
i 8
 
7.5%
p 8
 
7.5%
l 7
 
6.6%
6
 
5.7%
a 5
 
4.7%
n 5
 
4.7%
R 4
 
3.8%
m 4
 
3.8%
Other values (19) 36
34.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 106
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 12
 
11.3%
e 11
 
10.4%
i 8
 
7.5%
p 8
 
7.5%
l 7
 
6.6%
6
 
5.7%
a 5
 
4.7%
n 5
 
4.7%
R 4
 
3.8%
m 4
 
3.8%
Other values (19) 36
34.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 106
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 12
 
11.3%
e 11
 
10.4%
i 8
 
7.5%
p 8
 
7.5%
l 7
 
6.6%
6
 
5.7%
a 5
 
4.7%
n 5
 
4.7%
R 4
 
3.8%
m 4
 
3.8%
Other values (19) 36
34.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 106
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 12
 
11.3%
e 11
 
10.4%
i 8
 
7.5%
p 8
 
7.5%
l 7
 
6.6%
6
 
5.7%
a 5
 
4.7%
n 5
 
4.7%
R 4
 
3.8%
m 4
 
3.8%
Other values (19) 36
34.0%

w3_A03
Real number (ℝ)

Missing 

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: ________________

Distinct6
Distinct (%)18.8%
Missing6
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean1.90625
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:19.681416image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.552508376
Coefficient of variation (CV)0.8144306236
Kurtosis0.8097707438
Mean1.90625
Median Absolute Deviation (MAD)0
Skewness1.49001325
Sum61
Variance2.410282258
MonotonicityNot monotonic
2025-02-26T17:47:19.720245image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 22
57.9%
5 3
 
7.9%
3 2
 
5.3%
4 2
 
5.3%
2 2
 
5.3%
6 1
 
2.6%
(Missing) 6
 
15.8%
ValueCountFrequency (%)
1 22
57.9%
2 2
 
5.3%
3 2
 
5.3%
4 2
 
5.3%
5 3
 
7.9%
ValueCountFrequency (%)
6 1
 
2.6%
5 3
7.9%
4 2
5.3%
3 2
5.3%
2 2
5.3%

w3_A03_other
Text

Constant  Missing 

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

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size475.0 B
2025-02-26T17:47:19.779636image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length34
Median length34
Mean length34
Min length34

Characters and Unicode

Total characters34
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowDifficulty in choosing the options
ValueCountFrequency (%)
difficulty 1
20.0%
in 1
20.0%
choosing 1
20.0%
the 1
20.0%
options 1
20.0%
2025-02-26T17:47:19.886104image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 5
14.7%
4
11.8%
o 4
11.8%
t 3
8.8%
n 3
8.8%
f 2
 
5.9%
c 2
 
5.9%
h 2
 
5.9%
s 2
 
5.9%
D 1
 
2.9%
Other values (6) 6
17.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 5
14.7%
4
11.8%
o 4
11.8%
t 3
8.8%
n 3
8.8%
f 2
 
5.9%
c 2
 
5.9%
h 2
 
5.9%
s 2
 
5.9%
D 1
 
2.9%
Other values (6) 6
17.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 5
14.7%
4
11.8%
o 4
11.8%
t 3
8.8%
n 3
8.8%
f 2
 
5.9%
c 2
 
5.9%
h 2
 
5.9%
s 2
 
5.9%
D 1
 
2.9%
Other values (6) 6
17.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 34
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 5
14.7%
4
11.8%
o 4
11.8%
t 3
8.8%
n 3
8.8%
f 2
 
5.9%
c 2
 
5.9%
h 2
 
5.9%
s 2
 
5.9%
D 1
 
2.9%
Other values (6) 6
17.6%

w3_A04
Text

Missing 

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

Distinct7
Distinct (%)100.0%
Missing31
Missing (%)81.6%
Memory size1.1 KiB
2025-02-26T17:47:19.996701image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length251
Median length49
Mean length93.14285714
Min length12

Characters and Unicode

Total characters652
Distinct characters44
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 rowDuring installation process some of the instructions were not clear. It's better to make a video about installation of the app and share to the participants before they start installing the app.
2nd rowQuestions were not properly time synced according to my habits. Also the app crashed awfully alot. Even after data extraction , sometimes the app crashed leading to data extraction failure. Also try to give varied questions or varied response choices.
3rd rowFor each 1 or 30mins We have to choose options. It expires, if extends to some 16 or 20 questions.
4th rowIt was stuck at 99%
5th rowNothing much
ValueCountFrequency (%)
the 8
 
7.0%
to 8
 
7.0%
app 5
 
4.3%
of 3
 
2.6%
questions 3
 
2.6%
or 3
 
2.6%
installation 2
 
1.7%
some 2
 
1.7%
were 2
 
1.7%
not 2
 
1.7%
Other values (69) 77
67.0%
2025-02-26T17:47:20.154916image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
16.3%
t 62
 
9.5%
e 59
 
9.0%
o 48
 
7.4%
a 45
 
6.9%
s 38
 
5.8%
i 37
 
5.7%
n 33
 
5.1%
r 29
 
4.4%
l 20
 
3.1%
Other values (34) 175
26.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 652
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
106
16.3%
t 62
 
9.5%
e 59
 
9.0%
o 48
 
7.4%
a 45
 
6.9%
s 38
 
5.8%
i 37
 
5.7%
n 33
 
5.1%
r 29
 
4.4%
l 20
 
3.1%
Other values (34) 175
26.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 652
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
106
16.3%
t 62
 
9.5%
e 59
 
9.0%
o 48
 
7.4%
a 45
 
6.9%
s 38
 
5.8%
i 37
 
5.7%
n 33
 
5.1%
r 29
 
4.4%
l 20
 
3.1%
Other values (34) 175
26.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 652
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
106
16.3%
t 62
 
9.5%
e 59
 
9.0%
o 48
 
7.4%
a 45
 
6.9%
s 38
 
5.8%
i 37
 
5.7%
n 33
 
5.1%
r 29
 
4.4%
l 20
 
3.1%
Other values (34) 175
26.8%

w3_A05
Real number (ℝ)

Missing 

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 (%)6.2%
Missing6
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean1.90625
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:20.202646image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.2961445811
Coefficient of variation (CV)0.1553545343
Kurtosis6.998652398
Mean1.90625
Median Absolute Deviation (MAD)0
Skewness-2.926498481
Sum61
Variance0.0877016129
MonotonicityNot monotonic
2025-02-26T17:47:20.298457image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 29
76.3%
1 3
 
7.9%
(Missing) 6
 
15.8%
ValueCountFrequency (%)
1 3
 
7.9%
2 29
76.3%
ValueCountFrequency (%)
2 29
76.3%
1 3
 
7.9%

w3_A06
Text

Missing 

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

Distinct2
Distinct (%)100.0%
Missing36
Missing (%)94.7%
Memory size572.0 B
2025-02-26T17:47:20.360678image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length109
Median length65.5
Mean length65.5
Min length22

Characters and Unicode

Total characters131
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

Unique2 ?
Unique (%)100.0%

Sample

1st rowLike mainly in the food which I had It don't have all the necessary options but it had many unnecessary thngs
2nd rowMost of the activities
ValueCountFrequency (%)
the 3
 
12.0%
had 2
 
8.0%
it 2
 
8.0%
like 1
 
4.0%
mainly 1
 
4.0%
in 1
 
4.0%
food 1
 
4.0%
which 1
 
4.0%
i 1
 
4.0%
don't 1
 
4.0%
Other values (11) 11
44.0%
2025-02-26T17:47:20.471933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
16.8%
t 12
 
9.2%
e 10
 
7.6%
i 9
 
6.9%
a 9
 
6.9%
n 9
 
6.9%
h 9
 
6.9%
s 8
 
6.1%
o 7
 
5.3%
y 4
 
3.1%
Other values (18) 32
24.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 131
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
22
16.8%
t 12
 
9.2%
e 10
 
7.6%
i 9
 
6.9%
a 9
 
6.9%
n 9
 
6.9%
h 9
 
6.9%
s 8
 
6.1%
o 7
 
5.3%
y 4
 
3.1%
Other values (18) 32
24.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 131
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
22
16.8%
t 12
 
9.2%
e 10
 
7.6%
i 9
 
6.9%
a 9
 
6.9%
n 9
 
6.9%
h 9
 
6.9%
s 8
 
6.1%
o 7
 
5.3%
y 4
 
3.1%
Other values (18) 32
24.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 131
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
22
16.8%
t 12
 
9.2%
e 10
 
7.6%
i 9
 
6.9%
a 9
 
6.9%
n 9
 
6.9%
h 9
 
6.9%
s 8
 
6.1%
o 7
 
5.3%
y 4
 
3.1%
Other values (18) 32
24.4%

w3_A07
Real number (ℝ)

Missing 

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: ________________

Distinct6
Distinct (%)18.8%
Missing6
Missing (%)15.8%
Infinite0
Infinite (%)0.0%
Mean2.71875
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:20.519375image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q33.25
95-th percentile5.45
Maximum6
Range5
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.528954418
Coefficient of variation (CV)0.5623740389
Kurtosis-0.4380521982
Mean2.71875
Median Absolute Deviation (MAD)1
Skewness0.6243715362
Sum87
Variance2.337701613
MonotonicityNot monotonic
2025-02-26T17:47:20.557811image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 9
23.7%
1 9
23.7%
2 6
15.8%
5 3
 
7.9%
4 3
 
7.9%
6 2
 
5.3%
(Missing) 6
15.8%
ValueCountFrequency (%)
1 9
23.7%
2 6
15.8%
3 9
23.7%
4 3
 
7.9%
5 3
 
7.9%
ValueCountFrequency (%)
6 2
 
5.3%
5 3
 
7.9%
4 3
 
7.9%
3 9
23.7%
2 6
15.8%

w3_A07_other
Unsupported

Missing  Rejected  Unsupported 

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

Missing38
Missing (%)100.0%
Memory size441.0 B

w3_A08
Text

Missing 

Other considerations about the experiment________________

Distinct10
Distinct (%)100.0%
Missing28
Missing (%)73.7%
Memory size1.2 KiB
2025-02-26T17:47:20.681178image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length266
Median length56.5
Mean length78.7
Min length7

Characters and Unicode

Total characters787
Distinct characters51
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st rowCould have added questions other than only Snack Questions.
2nd rowApp experience was good and user friendly
3rd rowSleep hours can be given a manually adjusted time. For eg. Sleeping-> 2300-0600. The app doesn't ask the log for 2330-0530.
4th rowIts a very good and novel approach in understanding activities - time utilisation ratio. Questions especially the dairy notes were pretty accurate. Just spent more attention to timing , ie it was always asking more questions after 12pm till 6 am. Happy to interact.
5th rowIt is all good..I really loved it
ValueCountFrequency (%)
questions 5
 
3.7%
the 5
 
3.7%
to 5
 
3.7%
and 4
 
3.0%
for 4
 
3.0%
4
 
3.0%
it 4
 
3.0%
other 3
 
2.2%
a 3
 
2.2%
were 3
 
2.2%
Other values (85) 94
70.1%
2025-02-26T17:47:20.859494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
15.0%
e 79
 
10.0%
t 56
 
7.1%
a 48
 
6.1%
o 46
 
5.8%
i 44
 
5.6%
n 43
 
5.5%
s 34
 
4.3%
r 33
 
4.2%
l 30
 
3.8%
Other values (41) 256
32.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 787
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
118
15.0%
e 79
 
10.0%
t 56
 
7.1%
a 48
 
6.1%
o 46
 
5.8%
i 44
 
5.6%
n 43
 
5.5%
s 34
 
4.3%
r 33
 
4.2%
l 30
 
3.8%
Other values (41) 256
32.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 787
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
118
15.0%
e 79
 
10.0%
t 56
 
7.1%
a 48
 
6.1%
o 46
 
5.8%
i 44
 
5.6%
n 43
 
5.5%
s 34
 
4.3%
r 33
 
4.2%
l 30
 
3.8%
Other values (41) 256
32.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 787
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
118
15.0%
e 79
 
10.0%
t 56
 
7.1%
a 48
 
6.1%
o 46
 
5.8%
i 44
 
5.6%
n 43
 
5.5%
s 34
 
4.3%
r 33
 
4.2%
l 30
 
3.8%
Other values (41) 256
32.5%

w3_B01_1
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 : Writing is a natural way for me to express myself.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.555555556
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:20.907331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.120897077
Coefficient of variation (CV)0.3152523028
Kurtosis0.3001749271
Mean3.555555556
Median Absolute Deviation (MAD)1
Skewness-0.7690633104
Sum96
Variance1.256410256
MonotonicityNot monotonic
2025-02-26T17:47:20.948323image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 11
28.9%
3 7
18.4%
5 5
13.2%
1 2
 
5.3%
2 2
 
5.3%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 2
 
5.3%
2 2
 
5.3%
3 7
18.4%
4 11
28.9%
5 5
13.2%
ValueCountFrequency (%)
5 5
13.2%
4 11
28.9%
3 7
18.4%
2 2
 
5.3%
1 2
 
5.3%

w3_B01_2
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 : At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.518518519
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:20.987763image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.188741104
Coefficient of variation (CV)0.3378527349
Kurtosis0.2786130983
Mean3.518518519
Median Absolute Deviation (MAD)1
Skewness-0.7150421542
Sum95
Variance1.413105413
MonotonicityNot monotonic
2025-02-26T17:47:21.029727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 10
26.3%
4 8
21.1%
5 6
15.8%
1 3
 
7.9%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 3
 
7.9%
3 10
26.3%
4 8
21.1%
5 6
15.8%
ValueCountFrequency (%)
5 6
15.8%
4 8
21.1%
3 10
26.3%
1 3
 
7.9%

w3_B01_3
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 have recently written something that I am especially proud of, or for which I have received recognition.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.296296296
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.069843image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.170628195
Coefficient of variation (CV)0.3551343962
Kurtosis-1.145781873
Mean3.296296296
Median Absolute Deviation (MAD)1
Skewness-0.1650232534
Sum89
Variance1.37037037
MonotonicityNot monotonic
2025-02-26T17:47:21.110760image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 10
26.3%
2 8
21.1%
3 4
 
10.5%
5 4
 
10.5%
1 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 1
 
2.6%
2 8
21.1%
3 4
 
10.5%
4 10
26.3%
5 4
 
10.5%
ValueCountFrequency (%)
5 4
 
10.5%
4 10
26.3%
3 4
 
10.5%
2 8
21.1%
1 1
 
2.6%

w3_B01_4
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 : Metaphors and vivid verbal expressions help me learn efficiently.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.333333333
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.148841image/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 deviation0.9607689228
Coefficient of variation (CV)0.2882306768
Kurtosis-0.8775
Mean3.333333333
Median Absolute Deviation (MAD)1
Skewness0.09367496998
Sum90
Variance0.9230769231
MonotonicityNot monotonic
2025-02-26T17:47:21.185150image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 9
23.7%
4 9
23.7%
2 6
15.8%
5 3
 
7.9%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 6
15.8%
3 9
23.7%
4 9
23.7%
5 3
 
7.9%
ValueCountFrequency (%)
5 3
 
7.9%
4 9
23.7%
3 9
23.7%
2 6
15.8%

w3_B01_5
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 : At school I was good at mathematics, physics or chemistry.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.851851852
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.220545image/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 deviation1.063510287
Coefficient of variation (CV)0.2761036323
Kurtosis-0.9055995533
Mean3.851851852
Median Absolute Deviation (MAD)1
Skewness-0.5125368017
Sum104
Variance1.131054131
MonotonicityNot monotonic
2025-02-26T17:47:21.256442image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 9
23.7%
4 9
23.7%
3 5
13.2%
2 4
 
10.5%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 4
10.5%
3 5
13.2%
4 9
23.7%
5 9
23.7%
ValueCountFrequency (%)
5 9
23.7%
4 9
23.7%
3 5
13.2%
2 4
10.5%

w3_B01_6
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 can work with and solve complex problems.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.62962963
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.292608image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.3
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7916947813
Coefficient of variation (CV)0.2181199908
Kurtosis-0.1302471074
Mean3.62962963
Median Absolute Deviation (MAD)1
Skewness-0.2110547057
Sum98
Variance0.6267806268
MonotonicityNot monotonic
2025-02-26T17:47:21.329646image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 13
34.2%
3 9
23.7%
5 3
 
7.9%
2 2
 
5.3%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 2
 
5.3%
3 9
23.7%
4 13
34.2%
5 3
 
7.9%
ValueCountFrequency (%)
5 3
 
7.9%
4 13
34.2%
3 9
23.7%
2 2
 
5.3%

w3_B01_7
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 : Mental arithmetic is easy for me

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.481481481
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.367193image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9754829325
Coefficient of variation (CV)0.2801919061
Kurtosis0.3697651404
Mean3.481481481
Median Absolute Deviation (MAD)1
Skewness-0.3468265226
Sum94
Variance0.9515669516
MonotonicityNot monotonic
2025-02-26T17:47:21.408469image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 11
28.9%
4 9
23.7%
5 4
 
10.5%
2 2
 
5.3%
1 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 1
 
2.6%
2 2
 
5.3%
3 11
28.9%
4 9
23.7%
5 4
 
10.5%
ValueCountFrequency (%)
5 4
 
10.5%
4 9
23.7%
3 11
28.9%
2 2
 
5.3%
1 1
 
2.6%

w3_B01_8
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 good at games and problem solving, which require logical thinking.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.703703704
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.446383image/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 deviation0.8234456133
Coefficient of variation (CV)0.2223303156
Kurtosis0.3192486406
Mean3.703703704
Median Absolute Deviation (MAD)0
Skewness-0.7161953256
Sum100
Variance0.6780626781
MonotonicityNot monotonic
2025-02-26T17:47:21.484164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 16
42.1%
3 5
 
13.2%
2 3
 
7.9%
5 3
 
7.9%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 3
 
7.9%
3 5
 
13.2%
4 16
42.1%
5 3
 
7.9%
ValueCountFrequency (%)
5 3
 
7.9%
4 16
42.1%
3 5
 
13.2%
2 3
 
7.9%

w3_B01_9
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 : At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.777777778
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.522030image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.012739367
Coefficient of variation (CV)0.2680780678
Kurtosis0.985725
Mean3.777777778
Median Absolute Deviation (MAD)1
Skewness-0.9568108355
Sum102
Variance1.025641026
MonotonicityNot monotonic
2025-02-26T17:47:21.563378image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 13
34.2%
5 6
15.8%
3 5
 
13.2%
2 2
 
5.3%
1 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 1
 
2.6%
2 2
 
5.3%
3 5
 
13.2%
4 13
34.2%
5 6
15.8%
ValueCountFrequency (%)
5 6
15.8%
4 13
34.2%
3 5
 
13.2%
2 2
 
5.3%
1 1
 
2.6%

w3_B01_10
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 : It is easy for me to conceptualize complex and multidimensional patterns.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.481481481
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.601682image/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 deviation0.9754829325
Coefficient of variation (CV)0.2801919061
Kurtosis-0.8671483381
Mean3.481481481
Median Absolute Deviation (MAD)1
Skewness0.1901714278
Sum94
Variance0.9515669516
MonotonicityNot monotonic
2025-02-26T17:47:21.638065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 11
28.9%
4 7
18.4%
5 5
13.2%
2 4
 
10.5%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 4
 
10.5%
3 11
28.9%
4 7
18.4%
5 5
13.2%
ValueCountFrequency (%)
5 5
13.2%
4 7
18.4%
3 11
28.9%
2 4
 
10.5%

w3_B01_11
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 can easily imagine how a landscape looks from a bird’s-eye view.

Distinct5
Distinct (%)17.9%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean3.285714286
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.676151image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q13
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.083791112
Coefficient of variation (CV)0.3298494689
Kurtosis-0.2092094173
Mean3.285714286
Median Absolute Deviation (MAD)1
Skewness-0.4335286243
Sum92
Variance1.174603175
MonotonicityNot monotonic
2025-02-26T17:47:21.716987image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 10
26.3%
3 9
23.7%
2 4
 
10.5%
5 3
 
7.9%
1 2
 
5.3%
(Missing) 10
26.3%
ValueCountFrequency (%)
1 2
 
5.3%
2 4
 
10.5%
3 9
23.7%
4 10
26.3%
5 3
 
7.9%
ValueCountFrequency (%)
5 3
 
7.9%
4 10
26.3%
3 9
23.7%
2 4
 
10.5%
1 2
 
5.3%

w3_B01_12
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 I read, I form illustrative pictures or designs in my mind.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.925925926
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.756068image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9167637866
Coefficient of variation (CV)0.2335153041
Kurtosis-1.160467912
Mean3.925925926
Median Absolute Deviation (MAD)1
Skewness-0.1689066037
Sum106
Variance0.8404558405
MonotonicityNot monotonic
2025-02-26T17:47:21.791908image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 9
23.7%
3 9
23.7%
4 8
21.1%
2 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 1
 
2.6%
3 9
23.7%
4 8
21.1%
5 9
23.7%
ValueCountFrequency (%)
5 9
23.7%
4 8
21.1%
3 9
23.7%
2 1
 
2.6%

w3_B01_13
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 handy.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.62962963
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.828813image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.926039879
Coefficient of variation (CV)0.2551334361
Kurtosis1.273503824
Mean3.62962963
Median Absolute Deviation (MAD)1
Skewness-0.7246948654
Sum98
Variance0.8575498575
MonotonicityNot monotonic
2025-02-26T17:47:21.870295image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 12
31.6%
3 9
23.7%
5 4
 
10.5%
1 1
 
2.6%
2 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
3 9
23.7%
4 12
31.6%
5 4
 
10.5%
ValueCountFrequency (%)
5 4
 
10.5%
4 12
31.6%
3 9
23.7%
2 1
 
2.6%
1 1
 
2.6%

w3_B01_14
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 can easily do something concrete with my hands (e.g. knitting and woodwork)

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.333333333
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.910082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.109400392
Coefficient of variation (CV)0.3328201177
Kurtosis-0.26609375
Mean3.333333333
Median Absolute Deviation (MAD)1
Skewness-0.5475931
Sum90
Variance1.230769231
MonotonicityNot monotonic
2025-02-26T17:47:21.950896image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 11
28.9%
3 7
18.4%
2 4
 
10.5%
5 3
 
7.9%
1 2
 
5.3%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 2
 
5.3%
2 4
 
10.5%
3 7
18.4%
4 11
28.9%
5 3
 
7.9%
ValueCountFrequency (%)
5 3
 
7.9%
4 11
28.9%
3 7
18.4%
2 4
 
10.5%
1 2
 
5.3%

w3_B01_15
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 good at showing how to do something in practice.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean4
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:21.988860image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q34.5
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.7844645406
Coefficient of variation (CV)0.1961161351
Kurtosis0.203125
Mean4
Median Absolute Deviation (MAD)0
Skewness-0.5162757258
Sum108
Variance0.6153846154
MonotonicityNot monotonic
2025-02-26T17:47:22.026413image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 14
36.8%
5 7
18.4%
3 5
 
13.2%
2 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 1
 
2.6%
3 5
 
13.2%
4 14
36.8%
5 7
18.4%
ValueCountFrequency (%)
5 7
18.4%
4 14
36.8%
3 5
 
13.2%
2 1
 
2.6%

w3_B01_16
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 was good at handicrafts at school.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.185185185
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.065226image/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 deviation1.301981834
Coefficient of variation (CV)0.4087617385
Kurtosis-0.9099974296
Mean3.185185185
Median Absolute Deviation (MAD)1
Skewness-0.3699595953
Sum86
Variance1.695156695
MonotonicityNot monotonic
2025-02-26T17:47:22.104742image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 9
23.7%
3 6
15.8%
1 4
 
10.5%
5 4
 
10.5%
2 4
 
10.5%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 4
10.5%
2 4
10.5%
3 6
15.8%
4 9
23.7%
5 4
10.5%
ValueCountFrequency (%)
5 4
10.5%
4 9
23.7%
3 6
15.8%
2 4
10.5%
1 4
10.5%

w3_B01_17
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 : After hearing a tune once or twice I am able to sing or whistle it quite accurately.

Distinct5
Distinct (%)17.9%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean3.571428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.144421image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.103146054
Coefficient of variation (CV)0.3088808952
Kurtosis-0.4219836557
Mean3.571428571
Median Absolute Deviation (MAD)1
Skewness-0.4620412634
Sum100
Variance1.216931217
MonotonicityNot monotonic
2025-02-26T17:47:22.184693image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 10
26.3%
3 7
18.4%
5 6
15.8%
2 4
 
10.5%
1 1
 
2.6%
(Missing) 10
26.3%
ValueCountFrequency (%)
1 1
 
2.6%
2 4
 
10.5%
3 7
18.4%
4 10
26.3%
5 6
15.8%
ValueCountFrequency (%)
5 6
15.8%
4 10
26.3%
3 7
18.4%
2 4
 
10.5%
1 1
 
2.6%

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 (%)17.9%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean3.464285714
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.224164image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.35
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.201300001
Coefficient of variation (CV)0.3467670107
Kurtosis-0.552378017
Mean3.464285714
Median Absolute Deviation (MAD)1
Skewness-0.4618489545
Sum97
Variance1.443121693
MonotonicityNot monotonic
2025-02-26T17:47:22.264603image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 9
23.7%
3 7
18.4%
5 6
15.8%
2 4
 
10.5%
1 2
 
5.3%
(Missing) 10
26.3%
ValueCountFrequency (%)
1 2
 
5.3%
2 4
10.5%
3 7
18.4%
4 9
23.7%
5 6
15.8%
ValueCountFrequency (%)
5 6
15.8%
4 9
23.7%
3 7
18.4%
2 4
10.5%
1 2
 
5.3%

w3_B01_19
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 can easily keep the rhythm when drumming a melody.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.518518519
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.303592image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.014144974
Coefficient of variation (CV)0.2882306768
Kurtosis0.1303581157
Mean3.518518519
Median Absolute Deviation (MAD)1
Skewness-0.5320858478
Sum95
Variance1.028490028
MonotonicityNot monotonic
2025-02-26T17:47:22.344333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 11
28.9%
3 8
21.1%
5 4
 
10.5%
2 3
 
7.9%
1 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 1
 
2.6%
2 3
 
7.9%
3 8
21.1%
4 11
28.9%
5 4
 
10.5%
ValueCountFrequency (%)
5 4
 
10.5%
4 11
28.9%
3 8
21.1%
2 3
 
7.9%
1 1
 
2.6%

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 (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.592592593
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.383928image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.9306432539
Coefficient of variation (CV)0.2590450294
Kurtosis1.211120152
Mean3.592592593
Median Absolute Deviation (MAD)0
Skewness-0.9096707506
Sum97
Variance0.8660968661
MonotonicityNot monotonic
2025-02-26T17:47:22.425979image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 14
36.8%
3 7
18.4%
5 3
 
7.9%
2 2
 
5.3%
1 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 1
 
2.6%
2 2
 
5.3%
3 7
18.4%
4 14
36.8%
5 3
 
7.9%
ValueCountFrequency (%)
5 3
 
7.9%
4 14
36.8%
3 7
18.4%
2 2
 
5.3%
1 1
 
2.6%

w3_B01_21
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 : Even in strange company, I easily find someone to talk to.

Distinct5
Distinct (%)17.9%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean3.892857143
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.466354image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.065947178
Coefficient of variation (CV)0.2738212934
Kurtosis0.3259631045
Mean3.892857143
Median Absolute Deviation (MAD)1
Skewness-0.7608729899
Sum109
Variance1.136243386
MonotonicityNot monotonic
2025-02-26T17:47:22.506647image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 10
26.3%
3 8
21.1%
4 8
21.1%
1 1
 
2.6%
2 1
 
2.6%
(Missing) 10
26.3%
ValueCountFrequency (%)
1 1
 
2.6%
2 1
 
2.6%
3 8
21.1%
4 8
21.1%
5 10
26.3%
ValueCountFrequency (%)
5 10
26.3%
4 8
21.1%
3 8
21.1%
2 1
 
2.6%
1 1
 
2.6%

w3_B01_22
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 get alone easily with different types of people.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.148148148
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.608466image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.350319156
Coefficient of variation (CV)0.4289249084
Kurtosis-0.8741408203
Mean3.148148148
Median Absolute Deviation (MAD)1
Skewness-0.2894686032
Sum85
Variance1.823361823
MonotonicityNot monotonic
2025-02-26T17:47:22.648609image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 9
23.7%
4 6
15.8%
5 5
13.2%
1 5
13.2%
2 2
 
5.3%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 5
13.2%
2 2
 
5.3%
3 9
23.7%
4 6
15.8%
5 5
13.2%
ValueCountFrequency (%)
5 5
13.2%
4 6
15.8%
3 9
23.7%
2 2
 
5.3%
1 5
13.2%

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 (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean4
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.687119image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8770580193
Coefficient of variation (CV)0.2192645048
Kurtosis-0.7592
Mean4
Median Absolute Deviation (MAD)1
Skewness-0.3694168377
Sum108
Variance0.7692307692
MonotonicityNot monotonic
2025-02-26T17:47:22.723659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 10
26.3%
5 9
23.7%
3 7
18.4%
2 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 1
 
2.6%
3 7
18.4%
4 10
26.3%
5 9
23.7%
ValueCountFrequency (%)
5 9
23.7%
4 10
26.3%
3 7
18.4%
2 1
 
2.6%

w3_B01_24
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 : In negotiations and group work, I am able to support the group to find a consensus.

Distinct3
Distinct (%)11.1%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean4.148148148
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.761076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8639668665
Coefficient of variation (CV)0.2082777267
Kurtosis-1.620928268
Mean4.148148148
Median Absolute Deviation (MAD)1
Skewness-0.3035881195
Sum112
Variance0.7464387464
MonotonicityNot monotonic
2025-02-26T17:47:22.802344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5 12
31.6%
3 8
21.1%
4 7
18.4%
(Missing) 11
28.9%
ValueCountFrequency (%)
3 8
21.1%
4 7
18.4%
5 12
31.6%
ValueCountFrequency (%)
5 12
31.6%
4 7
18.4%
3 8
21.1%

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 (%)14.3%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean3.892857143
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.840750image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q34.25
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.8317445171
Coefficient of variation (CV)0.213659142
Kurtosis-0.6151025359
Mean3.892857143
Median Absolute Deviation (MAD)1
Skewness-0.2053039154
Sum109
Variance0.6917989418
MonotonicityNot monotonic
2025-02-26T17:47:22.878346image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 12
31.6%
3 8
21.1%
5 7
18.4%
2 1
 
2.6%
(Missing) 10
26.3%
ValueCountFrequency (%)
2 1
 
2.6%
3 8
21.1%
4 12
31.6%
5 7
18.4%
ValueCountFrequency (%)
5 7
18.4%
4 12
31.6%
3 8
21.1%
2 1
 
2.6%

w3_B01_26
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 often think about my own feelings and sentiments and seek reasons for them.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.518518519
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.915898image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.9352239703
Coefficient of variation (CV)0.2658004968
Kurtosis0.8398764974
Mean3.518518519
Median Absolute Deviation (MAD)1
Skewness-0.6671919895
Sum95
Variance0.8746438746
MonotonicityNot monotonic
2025-02-26T17:47:22.956363image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 12
31.6%
3 9
23.7%
5 3
 
7.9%
2 2
 
5.3%
1 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 1
 
2.6%
2 2
 
5.3%
3 9
23.7%
4 12
31.6%
5 3
 
7.9%
ValueCountFrequency (%)
5 3
 
7.9%
4 12
31.6%
3 9
23.7%
2 2
 
5.3%
1 1
 
2.6%

w3_B01_27
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 spend time regularly reflecting on the important issues in life.

Distinct4
Distinct (%)14.3%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean3.892857143
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:22.995445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7859547492
Coefficient of variation (CV)0.2018966328
Kurtosis-0.1753609553
Mean3.892857143
Median Absolute Deviation (MAD)0.5
Skewness-0.29613135
Sum109
Variance0.6177248677
MonotonicityNot monotonic
2025-02-26T17:47:23.033067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 14
36.8%
3 7
18.4%
5 6
15.8%
2 1
 
2.6%
(Missing) 10
26.3%
ValueCountFrequency (%)
2 1
 
2.6%
3 7
18.4%
4 14
36.8%
5 6
15.8%
ValueCountFrequency (%)
5 6
15.8%
4 14
36.8%
3 7
18.4%
2 1
 
2.6%

w3_B01_28
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 like to read psychological or philosophical literature to increase my self-knowledge.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.518518519
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.072163image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.122167215
Coefficient of variation (CV)0.3189317349
Kurtosis-0.5727708278
Mean3.518518519
Median Absolute Deviation (MAD)1
Skewness-0.490727875
Sum95
Variance1.259259259
MonotonicityNot monotonic
2025-02-26T17:47:23.112331image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 11
28.9%
2 5
13.2%
3 5
13.2%
5 5
13.2%
1 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 1
 
2.6%
2 5
13.2%
3 5
13.2%
4 11
28.9%
5 5
13.2%
ValueCountFrequency (%)
5 5
13.2%
4 11
28.9%
3 5
13.2%
2 5
13.2%
1 1
 
2.6%

w3_B01_29
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 enjoy the beauty and experiences related to nature.

Distinct4
Distinct (%)14.3%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean4.142857143
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.151171image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8482786804
Coefficient of variation (CV)0.2047569228
Kurtosis-0.187390205
Mean4.142857143
Median Absolute Deviation (MAD)1
Skewness-0.6801103108
Sum116
Variance0.7195767196
MonotonicityNot monotonic
2025-02-26T17:47:23.187668image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 11
28.9%
4 11
28.9%
3 5
13.2%
2 1
 
2.6%
(Missing) 10
26.3%
ValueCountFrequency (%)
2 1
 
2.6%
3 5
13.2%
4 11
28.9%
5 11
28.9%
ValueCountFrequency (%)
5 11
28.9%
4 11
28.9%
3 5
13.2%
2 1
 
2.6%

w3_B01_30
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 : Protecting the nature is important to me.

Distinct4
Distinct (%)15.4%
Missing12
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean4.076923077
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.223388image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13.25
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation0.8909804453
Coefficient of variation (CV)0.2185423734
Kurtosis-0.6572295248
Mean4.076923077
Median Absolute Deviation (MAD)1
Skewness-0.5263777118
Sum106
Variance0.7938461538
MonotonicityNot monotonic
2025-02-26T17:47:23.270812image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 10
26.3%
4 9
23.7%
3 6
15.8%
2 1
 
2.6%
(Missing) 12
31.6%
ValueCountFrequency (%)
2 1
 
2.6%
3 6
15.8%
4 9
23.7%
5 10
26.3%
ValueCountFrequency (%)
5 10
26.3%
4 9
23.7%
3 6
15.8%
2 1
 
2.6%

w3_B01_31
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 pay attention to my consumption habits in order to protect environment.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.62962963
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.310665image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile4.7
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.88353086
Coefficient of variation (CV)0.2434217676
Kurtosis2.193259097
Mean3.62962963
Median Absolute Deviation (MAD)0
Skewness-1.329602144
Sum98
Variance0.7806267806
MonotonicityNot monotonic
2025-02-26T17:47:23.353983image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 17
44.7%
3 5
 
13.2%
5 2
 
5.3%
2 2
 
5.3%
1 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 1
 
2.6%
2 2
 
5.3%
3 5
 
13.2%
4 17
44.7%
5 2
 
5.3%
ValueCountFrequency (%)
5 2
 
5.3%
4 17
44.7%
3 5
 
13.2%
2 2
 
5.3%
1 1
 
2.6%

w3_B01_32
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 : In midst of busy everyday life, I find it important to contemplate.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.62962963
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.393380image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7916947813
Coefficient of variation (CV)0.2181199908
Kurtosis-0.5140264463
Mean3.62962963
Median Absolute Deviation (MAD)1
Skewness0.2912049694
Sum98
Variance0.6267806268
MonotonicityNot monotonic
2025-02-26T17:47:23.430716image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 12
31.6%
4 10
26.3%
5 4
 
10.5%
2 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 1
 
2.6%
3 12
31.6%
4 10
26.3%
5 4
 
10.5%
ValueCountFrequency (%)
5 4
 
10.5%
4 10
26.3%
3 12
31.6%
2 1
 
2.6%

w3_B01_33
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 : Even ordinary every-day life is full of miraculous things.

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.518518519
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.469475image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.155933535
Coefficient of variation (CV)0.3285284782
Kurtosis-0.08131877924
Mean3.518518519
Median Absolute Deviation (MAD)1
Skewness-0.6939996635
Sum95
Variance1.336182336
MonotonicityNot monotonic
2025-02-26T17:47:23.509638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 11
28.9%
3 6
15.8%
5 5
13.2%
2 3
 
7.9%
1 2
 
5.3%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 2
 
5.3%
2 3
 
7.9%
3 6
15.8%
4 11
28.9%
5 5
13.2%
ValueCountFrequency (%)
5 5
13.2%
4 11
28.9%
3 6
15.8%
2 3
 
7.9%
1 2
 
5.3%

w3_B01_34
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 often reflect on the meaning of life.

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean3.62962963
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.548758image/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 deviation0.926039879
Coefficient of variation (CV)0.2551334361
Kurtosis-0.7181086301
Mean3.62962963
Median Absolute Deviation (MAD)1
Skewness-0.09700865921
Sum98
Variance0.8575498575
MonotonicityNot monotonic
2025-02-26T17:47:23.585283image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 10
26.3%
3 9
23.7%
5 5
13.2%
2 3
 
7.9%
(Missing) 11
28.9%
ValueCountFrequency (%)
2 3
 
7.9%
3 9
23.7%
4 10
26.3%
5 5
13.2%
ValueCountFrequency (%)
5 5
13.2%
4 10
26.3%
3 9
23.7%
2 3
 
7.9%

w3_B01_35
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 : It is important to me to share a quiet moment with others.

Distinct3
Distinct (%)11.1%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean4.037037037
Minimum3
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.622160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q35
95-th percentile5
Maximum5
Range2
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.8540168203
Coefficient of variation (CV)0.2115454509
Kurtosis-1.648311768
Mean4.037037037
Median Absolute Deviation (MAD)1
Skewness-0.073915406
Sum109
Variance0.7293447293
MonotonicityNot monotonic
2025-02-26T17:47:23.663067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
5 10
26.3%
3 9
23.7%
4 8
21.1%
(Missing) 11
28.9%
ValueCountFrequency (%)
3 9
23.7%
4 8
21.1%
5 10
26.3%
ValueCountFrequency (%)
5 10
26.3%
4 8
21.1%
3 9
23.7%

w3_C01
Real number (ℝ)

Missing 

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 (%)7.4%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean1.037037037
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.703037image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.1924500897
Coefficient of variation (CV)0.1855768722
Kurtosis27
Mean1.037037037
Median Absolute Deviation (MAD)0
Skewness5.196152423
Sum28
Variance0.03703703704
MonotonicityNot monotonic
2025-02-26T17:47:23.741649image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 26
68.4%
2 1
 
2.6%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 26
68.4%
2 1
 
2.6%
ValueCountFrequency (%)
2 1
 
2.6%
1 26
68.4%

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

Distinct3
Distinct (%)11.5%
Missing12
Missing (%)31.6%
Infinite0
Infinite (%)0.0%
Mean2.461538462
Minimum2
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.777535image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q33
95-th percentile3.75
Maximum4
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6468860321
Coefficient of variation (CV)0.2627974505
Kurtosis0.2643344742
Mean2.461538462
Median Absolute Deviation (MAD)0
Skewness1.11393383
Sum64
Variance0.4184615385
MonotonicityNot monotonic
2025-02-26T17:47:23.818358image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 16
42.1%
3 8
21.1%
4 2
 
5.3%
(Missing) 12
31.6%
ValueCountFrequency (%)
2 16
42.1%
3 8
21.1%
4 2
 
5.3%
ValueCountFrequency (%)
4 2
 
5.3%
3 8
21.1%
2 16
42.1%

w3_D01
Real number (ℝ)

Missing 

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 (%)7.4%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean1.148148148
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.859734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.3620139929
Coefficient of variation (CV)0.3153025099
Kurtosis2.594347826
Mean1.148148148
Median Absolute Deviation (MAD)0
Skewness2.099366364
Sum31
Variance0.1310541311
MonotonicityNot monotonic
2025-02-26T17:47:23.896624image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 23
60.5%
2 4
 
10.5%
(Missing) 11
28.9%
ValueCountFrequency (%)
1 23
60.5%
2 4
 
10.5%
ValueCountFrequency (%)
2 4
 
10.5%
1 23
60.5%

w3_interviewtime
Real number (ℝ)

Zeros 

interviewtime

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean473.6642105
Minimum0
Maximum2701.88
Zeros5
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:23.938902image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1118.135
median269.415
Q3478.6325
95-th percentile1609.9535
Maximum2701.88
Range2701.88
Interquartile range (IQR)360.4975

Descriptive statistics

Standard deviation610.0357804
Coefficient of variation (CV)1.287907692
Kurtosis5.224150681
Mean473.6642105
Median Absolute Deviation (MAD)201.595
Skewness2.243861191
Sum17999.24
Variance372143.6533
MonotonicityNot monotonic
2025-02-26T17:47:23.985353image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 5
 
13.2%
381.37 1
 
2.6%
383.77 1
 
2.6%
416.51 1
 
2.6%
2701.88 1
 
2.6%
300.08 1
 
2.6%
1158.65 1
 
2.6%
187.39 1
 
2.6%
662.98 1
 
2.6%
1463.98 1
 
2.6%
Other values (24) 24
63.2%
ValueCountFrequency (%)
0.0 5
13.2%
23.89 1
 
2.6%
57.33 1
 
2.6%
60.18 1
 
2.6%
92.33 1
 
2.6%
ValueCountFrequency (%)
2701.88 1
2.6%
2228.32 1
2.6%
1500.83 1
2.6%
1463.98 1
2.6%
1158.65 1
2.6%

w3_GT_A
Real number (ℝ)

Missing 

Distinct33
Distinct (%)100.0%
Missing5
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean178.5321212
Minimum23.89
Maximum1077.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:24.031241image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum23.89
5-th percentile44.842
Q160.7
median97.83
Q3142
95-th percentile584.686
Maximum1077.49
Range1053.6
Interquartile range (IQR)81.3

Descriptive statistics

Standard deviation221.6253772
Coefficient of variation (CV)1.241375365
Kurtosis8.074177873
Mean178.5321212
Median Absolute Deviation (MAD)40.5
Skewness2.702565224
Sum5891.56
Variance49117.80782
MonotonicityNot monotonic
2025-02-26T17:47:24.077050image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
52.44 1
 
2.6%
77.0 1
 
2.6%
198.27 1
 
2.6%
48.27 1
 
2.6%
141.64 1
 
2.6%
97.08 1
 
2.6%
81.06 1
 
2.6%
92.33 1
 
2.6%
611.68 1
 
2.6%
72.6 1
 
2.6%
Other values (23) 23
60.5%
(Missing) 5
 
13.2%
ValueCountFrequency (%)
23.89 1
2.6%
39.7 1
2.6%
48.27 1
2.6%
49.64 1
2.6%
52.44 1
2.6%
ValueCountFrequency (%)
1077.49 1
2.6%
611.68 1
2.6%
566.69 1
2.6%
481.22 1
2.6%
446.58 1
2.6%

w3_GT_B
Real number (ℝ)

Missing 

Distinct28
Distinct (%)100.0%
Missing10
Missing (%)26.3%
Infinite0
Infinite (%)0.0%
Mean318.5007143
Minimum17.72
Maximum2069.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:24.120734image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum17.72
5-th percentile40.0935
Q170.0775
median191.235
Q3268.4025
95-th percentile1033.8285
Maximum2069.95
Range2052.23
Interquartile range (IQR)198.325

Descriptive statistics

Standard deviation437.2301679
Coefficient of variation (CV)1.372776099
Kurtosis9.329831115
Mean318.5007143
Median Absolute Deviation (MAD)108.125
Skewness2.856858606
Sum8918.02
Variance191170.2198
MonotonicityNot monotonic
2025-02-26T17:47:24.163938image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
855.93 1
 
2.6%
70.35 1
 
2.6%
214.1 1
 
2.6%
226.62 1
 
2.6%
36.1 1
 
2.6%
150.93 1
 
2.6%
245.51 1
 
2.6%
47.51 1
 
2.6%
751.85 1
 
2.6%
218.11 1
 
2.6%
Other values (18) 18
47.4%
(Missing) 10
26.3%
ValueCountFrequency (%)
17.72 1
2.6%
36.1 1
2.6%
47.51 1
2.6%
55.11 1
2.6%
60.16 1
2.6%
ValueCountFrequency (%)
2069.95 1
2.6%
1129.62 1
2.6%
855.93 1
2.6%
751.85 1
2.6%
670.36 1
2.6%

w3_GT_C
Real number (ℝ)

Missing 

Distinct27
Distinct (%)100.0%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean100.162963
Minimum7.97
Maximum438.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:24.205751image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum7.97
5-th percentile12.826
Q132.87
median66.22
Q3128.9
95-th percentile364.286
Maximum438.49
Range430.52
Interquartile range (IQR)96.03

Descriptive statistics

Standard deviation109.6742127
Coefficient of variation (CV)1.094957751
Kurtosis4.573241762
Mean100.162963
Median Absolute Deviation (MAD)43.64
Skewness2.150299147
Sum2704.4
Variance12028.43292
MonotonicityNot monotonic
2025-02-26T17:47:24.248749image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
145.33 1
 
2.6%
28.12 1
 
2.6%
31.37 1
 
2.6%
118.36 1
 
2.6%
47.42 1
 
2.6%
438.49 1
 
2.6%
43.56 1
 
2.6%
34.44 1
 
2.6%
246.98 1
 
2.6%
18.9 1
 
2.6%
Other values (17) 17
44.7%
(Missing) 11
28.9%
ValueCountFrequency (%)
7.97 1
2.6%
12.07 1
2.6%
14.59 1
2.6%
18.9 1
2.6%
22.58 1
2.6%
ValueCountFrequency (%)
438.49 1
2.6%
414.56 1
2.6%
246.98 1
2.6%
158.97 1
2.6%
145.33 1
2.6%

w3_GT_D
Real number (ℝ)

Missing 

Distinct27
Distinct (%)100.0%
Missing11
Missing (%)28.9%
Infinite0
Infinite (%)0.0%
Mean17.97259259
Minimum3.77
Maximum37.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2025-02-26T17:47:24.288205image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum3.77
5-th percentile5.766
Q110.215
median18.18
Q325.12
95-th percentile34.384
Maximum37.97
Range34.2
Interquartile range (IQR)14.905

Descriptive statistics

Standard deviation9.398585242
Coefficient of variation (CV)0.5229398705
Kurtosis-0.5949400208
Mean17.97259259
Median Absolute Deviation (MAD)7.82
Skewness0.4656877262
Sum485.26
Variance88.33340456
MonotonicityNot monotonic
2025-02-26T17:47:24.331327image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
36.61 1
 
2.6%
13.68 1
 
2.6%
27.09 1
 
2.6%
22.12 1
 
2.6%
9.65 1
 
2.6%
21.12 1
 
2.6%
11.24 1
 
2.6%
8.36 1
 
2.6%
18.18 1
 
2.6%
14.8 1
 
2.6%
Other values (17) 17
44.7%
(Missing) 11
28.9%
ValueCountFrequency (%)
3.77 1
2.6%
5.4 1
2.6%
6.62 1
2.6%
8.36 1
2.6%
8.47 1
2.6%
ValueCountFrequency (%)
37.97 1
2.6%
36.61 1
2.6%
29.19 1
2.6%
29.13 1
2.6%
27.13 1
2.6%