Overview

Brought to you by YData

Dataset statistics

Number of variables62
Number of observations215
Missing cells1356
Missing cells (%)10.2%
Total size in memory148.7 KiB
Average record size in memory708.0 B

Variable types

Text10
Numeric49
DateTime3

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

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

Alerts

w3_experimentid has constant value "wenetItaly" Constant
w3_submitdate has 3 (1.4%) missing values Missing
w3_refurl has 124 (57.7%) missing values Missing
w3_A02 has 3 (1.4%) missing values Missing
w3_A02_other has 187 (87.0%) missing values Missing
w3_A03_other has 200 (93.0%) missing values Missing
w3_A04 has 164 (76.3%) missing values Missing
w3_A06 has 156 (72.6%) missing values Missing
w3_A07 has 11 (5.1%) missing values Missing
w3_A07_other has 193 (89.8%) missing values Missing
w3_A08 has 164 (76.3%) missing values Missing
w3_B01_1 has 3 (1.4%) missing values Missing
w3_B01_2 has 4 (1.9%) missing values Missing
w3_B01_3 has 3 (1.4%) missing values Missing
w3_B01_4 has 3 (1.4%) missing values Missing
w3_B01_5 has 3 (1.4%) missing values Missing
w3_B01_6 has 3 (1.4%) missing values Missing
w3_B01_7 has 3 (1.4%) missing values Missing
w3_B01_8 has 3 (1.4%) missing values Missing
w3_B01_9 has 3 (1.4%) missing values Missing
w3_B01_10 has 3 (1.4%) missing values Missing
w3_B01_11 has 3 (1.4%) missing values Missing
w3_B01_12 has 3 (1.4%) missing values Missing
w3_B01_13 has 3 (1.4%) missing values Missing
w3_B01_14 has 4 (1.9%) missing values Missing
w3_B01_15 has 4 (1.9%) missing values Missing
w3_B01_16 has 3 (1.4%) missing values Missing
w3_B01_17 has 3 (1.4%) missing values Missing
w3_B01_18 has 3 (1.4%) missing values Missing
w3_B01_19 has 3 (1.4%) missing values Missing
w3_B01_20 has 3 (1.4%) missing values Missing
w3_B01_21 has 3 (1.4%) missing values Missing
w3_B01_22 has 3 (1.4%) missing values Missing
w3_B01_23 has 3 (1.4%) missing values Missing
w3_B01_24 has 3 (1.4%) missing values Missing
w3_B01_25 has 3 (1.4%) missing values Missing
w3_B01_26 has 3 (1.4%) missing values Missing
w3_B01_27 has 3 (1.4%) missing values Missing
w3_B01_28 has 4 (1.9%) missing values Missing
w3_B01_29 has 3 (1.4%) missing values Missing
w3_B01_30 has 3 (1.4%) missing values Missing
w3_B01_31 has 3 (1.4%) missing values Missing
w3_B01_32 has 3 (1.4%) missing values Missing
w3_B01_33 has 3 (1.4%) missing values Missing
w3_B01_34 has 3 (1.4%) missing values Missing
w3_B01_35 has 3 (1.4%) missing values Missing
w3_C01 has 3 (1.4%) missing values Missing
w3_C02 has 19 (8.8%) missing values Missing
w3_D01 has 3 (1.4%) missing values Missing
w3_GT_B has 3 (1.4%) missing values Missing
w3_GT_C has 3 (1.4%) missing values Missing
w3_GT_D has 3 (1.4%) missing values Missing
token has unique values Unique

Reproduction

Analysis started2025-02-26 16:48:01.993175
Analysis finished2025-02-26 16:48:02.136150
Duration0.14 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct215
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2025-02-26T17:48:02.281431image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters3225
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

Unique215 ?
Unique (%)100.0%

Sample

1st row0A1VvXvDVYUEbiJ
2nd row0QmLMHd1BBRNTvW
3rd row0qV69OJ7wQPIzz5
4th row1hoTd9QxeKzBle8
5th row1L9cHRxsPwjmYkj
ValueCountFrequency (%)
0a1vvxvdvyuebij 1
 
0.5%
0qmlmhd1bbrntvw 1
 
0.5%
0qv69oj7wqpizz5 1
 
0.5%
1hotd9qxekzble8 1
 
0.5%
1l9chrxspwjmykj 1
 
0.5%
1sawdxnapikiwlr 1
 
0.5%
1utfvzhxfx0eexx 1
 
0.5%
1wa5qfzqkwqpmdb 1
 
0.5%
2auxk3dcm0mxxer 1
 
0.5%
2carcalbpczfm2t 1
 
0.5%
Other values (205) 205
95.3%
2025-02-26T17:48:02.487079image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 118
 
3.7%
a 104
 
3.2%
i 63
 
2.0%
F 63
 
2.0%
A 62
 
1.9%
V 62
 
1.9%
X 62
 
1.9%
5 61
 
1.9%
m 60
 
1.9%
x 60
 
1.9%
Other values (52) 2510
77.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3225
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
z 118
 
3.7%
a 104
 
3.2%
i 63
 
2.0%
F 63
 
2.0%
A 62
 
1.9%
V 62
 
1.9%
X 62
 
1.9%
5 61
 
1.9%
m 60
 
1.9%
x 60
 
1.9%
Other values (52) 2510
77.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3225
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
z 118
 
3.7%
a 104
 
3.2%
i 63
 
2.0%
F 63
 
2.0%
A 62
 
1.9%
V 62
 
1.9%
X 62
 
1.9%
5 61
 
1.9%
m 60
 
1.9%
x 60
 
1.9%
Other values (52) 2510
77.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3225
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
z 118
 
3.7%
a 104
 
3.2%
i 63
 
2.0%
F 63
 
2.0%
A 62
 
1.9%
V 62
 
1.9%
X 62
 
1.9%
5 61
 
1.9%
m 60
 
1.9%
x 60
 
1.9%
Other values (52) 2510
77.8%

w3_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2025-02-26T17:48:02.557001image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2150
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetItaly
2nd rowwenetItaly
3rd rowwenetItaly
4th rowwenetItaly
5th rowwenetItaly
ValueCountFrequency (%)
wenetitaly 215
100.0%
2025-02-26T17:48:02.659106image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 430
20.0%
t 430
20.0%
w 215
10.0%
n 215
10.0%
I 215
10.0%
a 215
10.0%
l 215
10.0%
y 215
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2150
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 430
20.0%
t 430
20.0%
w 215
10.0%
n 215
10.0%
I 215
10.0%
a 215
10.0%
l 215
10.0%
y 215
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2150
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 430
20.0%
t 430
20.0%
w 215
10.0%
n 215
10.0%
I 215
10.0%
a 215
10.0%
l 215
10.0%
y 215
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2150
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 430
20.0%
t 430
20.0%
w 215
10.0%
n 215
10.0%
I 215
10.0%
a 215
10.0%
l 215
10.0%
y 215
10.0%

w3_lastpage
Real number (ℝ)

lastpage

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.948837209
Minimum0
Maximum4
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:02.699785image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q14
median4
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4346940556
Coefficient of variation (CV)0.1100815335
Kurtosis72.5887809
Mean3.948837209
Median Absolute Deviation (MAD)0
Skewness-8.542666947
Sum849
Variance0.188958922
MonotonicityNot monotonic
2025-02-26T17:48:02.738779image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
4 212
98.6%
0 2
 
0.9%
1 1
 
0.5%
ValueCountFrequency (%)
0 2
 
0.9%
1 1
 
0.5%
4 212
98.6%
ValueCountFrequency (%)
4 212
98.6%
1 1
 
0.5%
0 2
 
0.9%

w3_submitdate
Date

Missing 

submitdate

Distinct210
Distinct (%)99.1%
Missing3
Missing (%)1.4%
Memory size1.8 KiB
Minimum2020-11-27 11:47:03
Maximum2020-12-11 15:13:40
2025-02-26T17:48:02.789629image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:48:02.849351image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w3_startlanguage
Text

startlanguage

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2025-02-26T17:48:02.885100image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters430
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowit
2nd rowit
3rd rowit
4th rowit
5th rowit
ValueCountFrequency (%)
it 212
98.6%
en 3
 
1.4%
2025-02-26T17:48:02.954966image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 212
49.3%
t 212
49.3%
e 3
 
0.7%
n 3
 
0.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 430
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 212
49.3%
t 212
49.3%
e 3
 
0.7%
n 3
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 430
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 212
49.3%
t 212
49.3%
e 3
 
0.7%
n 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 430
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 212
49.3%
t 212
49.3%
e 3
 
0.7%
n 3
 
0.7%

w3_startdate
Date

startdate

Distinct214
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2020-11-27 11:42:48
Maximum2020-12-11 14:53:24
2025-02-26T17:48:03.006494image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:48:03.062862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w3_datestamp
Date

datestamp

Distinct213
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2020-11-27 11:47:03
Maximum2020-12-11 15:13:40
2025-02-26T17:48:03.116313image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:48:03.172921image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

w3_refurl
Text

Missing 

refurl

Distinct3
Distinct (%)3.3%
Missing124
Missing (%)57.7%
Memory size2.9 KiB
2025-02-26T17:48:03.246604image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.43956044
Min length4

Characters and Unicode

Total characters1132
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowandroid-gmail
2nd rowandroid-gmail
3rd rowandroid-gmail
4th rowandroid-gmail
5th rowandroid-gmail
ValueCountFrequency (%)
android-gmail 84
92.3%
mail 5
 
5.5%
limesurvey 2
 
2.2%
2025-02-26T17:48:03.359515image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 175
15.5%
a 173
15.3%
d 168
14.8%
m 91
8.0%
l 91
8.0%
r 86
7.6%
n 84
7.4%
o 84
7.4%
- 84
7.4%
g 84
7.4%
Other values (5) 12
 
1.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1132
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 175
15.5%
a 173
15.3%
d 168
14.8%
m 91
8.0%
l 91
8.0%
r 86
7.6%
n 84
7.4%
o 84
7.4%
- 84
7.4%
g 84
7.4%
Other values (5) 12
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1132
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 175
15.5%
a 173
15.3%
d 168
14.8%
m 91
8.0%
l 91
8.0%
r 86
7.6%
n 84
7.4%
o 84
7.4%
- 84
7.4%
g 84
7.4%
Other values (5) 12
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1132
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 175
15.5%
a 173
15.3%
d 168
14.8%
m 91
8.0%
l 91
8.0%
r 86
7.6%
n 84
7.4%
o 84
7.4%
- 84
7.4%
g 84
7.4%
Other values (5) 12
 
1.1%

w3_A01
Real number (ℝ)

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

Distinct2
Distinct (%)0.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.924882629
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:03.402274image/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 deviation0.2642015567
Coefficient of variation (CV)0.1372559307
Kurtosis8.622843842
Mean1.924882629
Median Absolute Deviation (MAD)0
Skewness-3.246838951
Sum410
Variance0.06980246257
MonotonicityNot monotonic
2025-02-26T17:48:03.440659image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 197
91.6%
1 16
 
7.4%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 16
 
7.4%
2 197
91.6%
ValueCountFrequency (%)
2 197
91.6%
1 16
 
7.4%

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 (%)3.3%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.367924528
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:03.476527image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation2.210811314
Coefficient of variation (CV)0.6564313706
Kurtosis0.04722470699
Mean3.367924528
Median Absolute Deviation (MAD)1
Skewness0.8754100962
Sum714
Variance4.887686667
MonotonicityNot monotonic
2025-02-26T17:48:03.516419image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 66
30.7%
4 59
27.4%
3 52
24.2%
8 28
13.0%
6 3
 
1.4%
5 2
 
0.9%
2 2
 
0.9%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 66
30.7%
2 2
 
0.9%
3 52
24.2%
4 59
27.4%
5 2
 
0.9%
ValueCountFrequency (%)
8 28
13.0%
6 3
 
1.4%
5 2
 
0.9%
4 59
27.4%
3 52
24.2%

w3_A02_other
Text

Missing 

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

Distinct13
Distinct (%)46.4%
Missing187
Missing (%)87.0%
Memory size2.0 KiB
2025-02-26T17:48:03.577484image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length12
Median length7
Mean length5.25
Min length2

Characters and Unicode

Total characters147
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

Unique6 ?
Unique (%)21.4%

Sample

1st rowSony
2nd rowOppo
3rd rowLG
4th rowLg Nexus
5th rowGoogle
ValueCountFrequency (%)
lg 6
18.2%
honor 5
15.2%
oneplus 4
12.1%
sony 3
9.1%
oppo 2
 
6.1%
google 2
 
6.1%
one 2
 
6.1%
plus 2
 
6.1%
redmi 2
 
6.1%
nexus 1
 
3.0%
Other values (4) 4
12.1%
2025-02-26T17:48:03.687449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 20
13.6%
e 15
 
10.2%
n 14
 
9.5%
p 9
 
6.1%
l 9
 
6.1%
O 8
 
5.4%
u 8
 
5.4%
G 7
 
4.8%
s 7
 
4.8%
L 6
 
4.1%
Other values (18) 44
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 147
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 20
13.6%
e 15
 
10.2%
n 14
 
9.5%
p 9
 
6.1%
l 9
 
6.1%
O 8
 
5.4%
u 8
 
5.4%
G 7
 
4.8%
s 7
 
4.8%
L 6
 
4.1%
Other values (18) 44
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 147
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 20
13.6%
e 15
 
10.2%
n 14
 
9.5%
p 9
 
6.1%
l 9
 
6.1%
O 8
 
5.4%
u 8
 
5.4%
G 7
 
4.8%
s 7
 
4.8%
L 6
 
4.1%
Other values (18) 44
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 147
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 20
13.6%
e 15
 
10.2%
n 14
 
9.5%
p 9
 
6.1%
l 9
 
6.1%
O 8
 
5.4%
u 8
 
5.4%
G 7
 
4.8%
s 7
 
4.8%
L 6
 
4.1%
Other values (18) 44
29.9%

w3_A03
Real number (ℝ)

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

Distinct5
Distinct (%)2.3%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean2.075117371
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:03.788198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile6
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.815548831
Coefficient of variation (CV)0.8749138031
Kurtosis-0.2982270044
Mean2.075117371
Median Absolute Deviation (MAD)0
Skewness1.214550396
Sum442
Variance3.296217557
MonotonicityNot monotonic
2025-02-26T17:48:03.826618image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 155
72.1%
5 23
 
10.7%
6 17
 
7.9%
4 16
 
7.4%
3 2
 
0.9%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 155
72.1%
3 2
 
0.9%
4 16
 
7.4%
5 23
 
10.7%
6 17
 
7.9%
ValueCountFrequency (%)
6 17
 
7.9%
5 23
 
10.7%
4 16
 
7.4%
3 2
 
0.9%
1 155
72.1%

w3_A03_other
Text

Missing 

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

Distinct15
Distinct (%)100.0%
Missing200
Missing (%)93.0%
Memory size2.5 KiB
2025-02-26T17:48:03.938625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length119
Median length37
Mean length42.53333333
Min length7

Characters and Unicode

Total characters638
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st rowInizialmente non sono arrivate le notifiche, ma si è risolto nel corso della prima giornata (riavviando telefono e app)
2nd rowdurante l'esperimanto
3rd rowÈ meccanica nell'utilizzo
4th rowvorrei poter accedere alle impostazioni di ilog dalla schermata dei timediaries
5th rowOneplus
ValueCountFrequency (%)
non 3
 
3.4%
di 3
 
3.4%
le 2
 
2.3%
notifiche 2
 
2.3%
è 2
 
2.3%
nel 2
 
2.3%
e 2
 
2.3%
app 2
 
2.3%
nell'utilizzo 2
 
2.3%
in 2
 
2.3%
Other values (60) 66
75.0%
2025-02-26T17:48:04.104577image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
11.6%
e 66
10.3%
o 60
 
9.4%
i 57
 
8.9%
n 51
 
8.0%
a 48
 
7.5%
l 33
 
5.2%
t 33
 
5.2%
r 30
 
4.7%
d 25
 
3.9%
Other values (30) 161
25.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 638
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
74
11.6%
e 66
10.3%
o 60
 
9.4%
i 57
 
8.9%
n 51
 
8.0%
a 48
 
7.5%
l 33
 
5.2%
t 33
 
5.2%
r 30
 
4.7%
d 25
 
3.9%
Other values (30) 161
25.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 638
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
74
11.6%
e 66
10.3%
o 60
 
9.4%
i 57
 
8.9%
n 51
 
8.0%
a 48
 
7.5%
l 33
 
5.2%
t 33
 
5.2%
r 30
 
4.7%
d 25
 
3.9%
Other values (30) 161
25.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 638
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
74
11.6%
e 66
10.3%
o 60
 
9.4%
i 57
 
8.9%
n 51
 
8.0%
a 48
 
7.5%
l 33
 
5.2%
t 33
 
5.2%
r 30
 
4.7%
d 25
 
3.9%
Other values (30) 161
25.2%

w3_A04
Text

Missing 

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

Distinct51
Distinct (%)100.0%
Missing164
Missing (%)76.3%
Memory size10.9 KiB
2025-02-26T17:48:04.235491image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length913
Median length154
Mean length181.9215686
Min length7

Characters and Unicode

Total characters9278
Distinct characters67
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

Unique51 ?
Unique (%)100.0%

Sample

1st rowHo dovuto reinstallare per problemi di accesso
2nd rowSinceramente non ho capito se mi sono arrivati tutti i questionari o no!
3rd rowHo dovuto riscaricarla perchè non riuscivo ad aprirla.
4th rowCapire il funzionamento generale nelle prime ore, poi quando hanno iniziato ad arrivare le domande si è chiarito tutto
5th rowInizialmente non riuscivo ad effettuare il log-in, probabilmente perchè era stato riconosciuto l'account universitario e non quello Gmail personale. Grazie all'aiuto dell'assistenza ho poi risolto il problema.
ValueCountFrequency (%)
non 62
 
4.3%
di 35
 
2.4%
e 33
 
2.3%
il 27
 
1.9%
ho 26
 
1.8%
a 23
 
1.6%
la 22
 
1.5%
per 21
 
1.5%
che 20
 
1.4%
si 19
 
1.3%
Other values (604) 1159
80.1%
2025-02-26T17:48:04.421727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1386
14.9%
e 844
 
9.1%
a 805
 
8.7%
o 768
 
8.3%
i 753
 
8.1%
n 643
 
6.9%
t 503
 
5.4%
l 462
 
5.0%
r 418
 
4.5%
s 383
 
4.1%
Other values (57) 2313
24.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9278
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1386
14.9%
e 844
 
9.1%
a 805
 
8.7%
o 768
 
8.3%
i 753
 
8.1%
n 643
 
6.9%
t 503
 
5.4%
l 462
 
5.0%
r 418
 
4.5%
s 383
 
4.1%
Other values (57) 2313
24.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9278
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1386
14.9%
e 844
 
9.1%
a 805
 
8.7%
o 768
 
8.3%
i 753
 
8.1%
n 643
 
6.9%
t 503
 
5.4%
l 462
 
5.0%
r 418
 
4.5%
s 383
 
4.1%
Other values (57) 2313
24.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9278
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1386
14.9%
e 844
 
9.1%
a 805
 
8.7%
o 768
 
8.3%
i 753
 
8.1%
n 643
 
6.9%
t 503
 
5.4%
l 462
 
5.0%
r 418
 
4.5%
s 383
 
4.1%
Other values (57) 2313
24.9%

w3_A05
Real number (ℝ)

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

Distinct2
Distinct (%)0.9%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean1.718309859
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:04.470021image/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 deviation0.4508827377
Coefficient of variation (CV)0.2623989703
Kurtosis-1.054394661
Mean1.718309859
Median Absolute Deviation (MAD)0
Skewness-0.9775452839
Sum366
Variance0.2032952432
MonotonicityNot monotonic
2025-02-26T17:48:04.508213image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 153
71.2%
1 60
 
27.9%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
1 60
 
27.9%
2 153
71.2%
ValueCountFrequency (%)
2 153
71.2%
1 60
 
27.9%

w3_A06
Text

Missing 

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

Distinct59
Distinct (%)100.0%
Missing156
Missing (%)72.6%
Memory size6.6 KiB
2025-02-26T17:48:04.589370image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length523
Median length103
Mean length82.74576271
Min length11

Characters and Unicode

Total characters4882
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

Unique59 ?
Unique (%)100.0%

Sample

1st rowportare a spasso il cane
2nd rowIo sto in un convitto, spesso sto con chi vive nel convitto, sebbene essi non siano miei amici, compagni di stanza/università o colleghi.
3rd rowScoutismo, alla fine collocato come volontariato; ginnastica posturale, alla fine collocata come sport, e seduta chiropratica, collocata come altro
4th rowVisite mediche
5th rowAvendo inteso "cura della persona" come insieme di attività quotidiane legate alla "self care", non ho saputo come indicare l'attività di visita medica.
ValueCountFrequency (%)
di 29
 
4.0%
in 21
 
2.9%
attività 17
 
2.3%
non 15
 
2.1%
che 13
 
1.8%
per 13
 
1.8%
come 12
 
1.7%
con 11
 
1.5%
o 11
 
1.5%
e 9
 
1.2%
Other values (377) 573
79.1%
2025-02-26T17:48:04.737520image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
655
13.4%
i 467
 
9.6%
e 434
 
8.9%
o 408
 
8.4%
a 400
 
8.2%
t 274
 
5.6%
n 264
 
5.4%
r 227
 
4.6%
s 226
 
4.6%
c 209
 
4.3%
Other values (52) 1318
27.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4882
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
655
13.4%
i 467
 
9.6%
e 434
 
8.9%
o 408
 
8.4%
a 400
 
8.2%
t 274
 
5.6%
n 264
 
5.4%
r 227
 
4.6%
s 226
 
4.6%
c 209
 
4.3%
Other values (52) 1318
27.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4882
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
655
13.4%
i 467
 
9.6%
e 434
 
8.9%
o 408
 
8.4%
a 400
 
8.2%
t 274
 
5.6%
n 264
 
5.4%
r 227
 
4.6%
s 226
 
4.6%
c 209
 
4.3%
Other values (52) 1318
27.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4882
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
655
13.4%
i 467
 
9.6%
e 434
 
8.9%
o 408
 
8.4%
a 400
 
8.2%
t 274
 
5.6%
n 264
 
5.4%
r 227
 
4.6%
s 226
 
4.6%
c 209
 
4.3%
Other values (52) 1318
27.0%

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: ________________

Distinct7
Distinct (%)3.4%
Missing11
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean3.534313725
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:04.780630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.940950714
Coefficient of variation (CV)0.549173295
Kurtosis-0.9639054841
Mean3.534313725
Median Absolute Deviation (MAD)2
Skewness0.2558268488
Sum721
Variance3.767289674
MonotonicityNot monotonic
2025-02-26T17:48:04.817566image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 63
29.3%
1 49
22.8%
5 39
18.1%
7 22
 
10.2%
4 14
 
6.5%
6 11
 
5.1%
2 6
 
2.8%
(Missing) 11
 
5.1%
ValueCountFrequency (%)
1 49
22.8%
2 6
 
2.8%
3 63
29.3%
4 14
 
6.5%
5 39
18.1%
ValueCountFrequency (%)
7 22
 
10.2%
6 11
 
5.1%
5 39
18.1%
4 14
 
6.5%
3 63
29.3%

w3_A07_other
Text

Missing 

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

Distinct22
Distinct (%)100.0%
Missing193
Missing (%)89.8%
Memory size4.2 KiB
2025-02-26T17:48:04.948269image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length255
Median length99
Mean length109.5
Min length6

Characters and Unicode

Total characters2409
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st rowCredo sia in parte compreso nel primo punto ma dovrebbe essere inserita la possibilità di compilare un solo questionario per la notte piuttosto che specificare che ogni mezz'ora stavo dormendo e quale fosse il mio umore oltre a dove e con chi mi trovassi.
2nd rowla possibilità di inserire più opzioni contemporaneamente nelle attività che si stanno svolgendo
3rd rowAggiungerei un timer che avvisa quanto manca allo scadere del tempo per compilare in diario del tempo
4th rowpoter aggiungere da una vista simil-calendario le attività in modo da "compilare" i timediaries in sospeso e aggiungere alter attività volontariamente che magari sono di breve durata e non capitano negli spezzoni di mezz'ora
5th rowPoter riguardare i miei diari a distanza di tempo e mettere più tempo per quando blocco le notifiche per attività fisica
ValueCountFrequency (%)
di 19
 
5.1%
in 11
 
2.9%
la 11
 
2.9%
per 10
 
2.7%
tempo 9
 
2.4%
possibilità 8
 
2.1%
un 8
 
2.1%
più 7
 
1.9%
attività 7
 
1.9%
e 6
 
1.6%
Other values (206) 280
74.5%
2025-02-26T17:48:05.137998image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
354
14.7%
e 250
 
10.4%
i 238
 
9.9%
o 189
 
7.8%
a 156
 
6.5%
r 134
 
5.6%
n 132
 
5.5%
t 122
 
5.1%
s 103
 
4.3%
l 91
 
3.8%
Other values (47) 640
26.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2409
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
354
14.7%
e 250
 
10.4%
i 238
 
9.9%
o 189
 
7.8%
a 156
 
6.5%
r 134
 
5.6%
n 132
 
5.5%
t 122
 
5.1%
s 103
 
4.3%
l 91
 
3.8%
Other values (47) 640
26.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2409
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
354
14.7%
e 250
 
10.4%
i 238
 
9.9%
o 189
 
7.8%
a 156
 
6.5%
r 134
 
5.6%
n 132
 
5.5%
t 122
 
5.1%
s 103
 
4.3%
l 91
 
3.8%
Other values (47) 640
26.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2409
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
354
14.7%
e 250
 
10.4%
i 238
 
9.9%
o 189
 
7.8%
a 156
 
6.5%
r 134
 
5.6%
n 132
 
5.5%
t 122
 
5.1%
s 103
 
4.3%
l 91
 
3.8%
Other values (47) 640
26.6%

w3_A08
Text

Missing 

Other considerations about the experiment________________

Distinct51
Distinct (%)100.0%
Missing164
Missing (%)76.3%
Memory size11.9 KiB
2025-02-26T17:48:05.282065image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length1708
Median length142
Mean length200.9607843
Min length2

Characters and Unicode

Total characters10249
Distinct characters73
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

Unique51 ?
Unique (%)100.0%

Sample

1st rowE' stato difficile gestire la quantità elevata di notifiche, soprattutto alla mattina per tutte le ore in cui si è dormito
2nd rowè stato divertente.
3rd rowSarebbe utile non avere la scadenza delle notifiche così a breve, ma soprattutto vedere la percentuale di compilazione dei questionari, una banale proporzione che non ho voglia di fare
4th rowE' un po' macchinosa la compilazione, metterei la possibilità agli utilizzatori di pre-impostare alcune risposte in maniera da rendere molto più veloce la compilazione.
5th rowNo
ValueCountFrequency (%)
di 50
 
3.2%
la 42
 
2.7%
a 32
 
2.0%
non 28
 
1.8%
in 24
 
1.5%
e 23
 
1.5%
per 21
 
1.3%
che 21
 
1.3%
un 19
 
1.2%
si 16
 
1.0%
Other values (689) 1292
82.4%
2025-02-26T17:48:05.487103image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1497
14.6%
e 1088
10.6%
i 871
 
8.5%
o 816
 
8.0%
a 742
 
7.2%
n 590
 
5.8%
t 539
 
5.3%
r 535
 
5.2%
s 472
 
4.6%
l 456
 
4.4%
Other values (63) 2643
25.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10249
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1497
14.6%
e 1088
10.6%
i 871
 
8.5%
o 816
 
8.0%
a 742
 
7.2%
n 590
 
5.8%
t 539
 
5.3%
r 535
 
5.2%
s 472
 
4.6%
l 456
 
4.4%
Other values (63) 2643
25.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10249
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1497
14.6%
e 1088
10.6%
i 871
 
8.5%
o 816
 
8.0%
a 742
 
7.2%
n 590
 
5.8%
t 539
 
5.3%
r 535
 
5.2%
s 472
 
4.6%
l 456
 
4.4%
Other values (63) 2643
25.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10249
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1497
14.6%
e 1088
10.6%
i 871
 
8.5%
o 816
 
8.0%
a 742
 
7.2%
n 590
 
5.8%
t 539
 
5.3%
r 535
 
5.2%
s 472
 
4.6%
l 456
 
4.4%
Other values (63) 2643
25.8%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.853773585
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:05.535032image/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 deviation1.317881003
Coefficient of variation (CV)0.4618029299
Kurtosis-1.045037672
Mean2.853773585
Median Absolute Deviation (MAD)1
Skewness0.1722902956
Sum605
Variance1.736810337
MonotonicityNot monotonic
2025-02-26T17:48:05.577214image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 57
26.5%
2 49
22.8%
1 40
18.6%
4 34
15.8%
5 32
14.9%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 40
18.6%
2 49
22.8%
3 57
26.5%
4 34
15.8%
5 32
14.9%
ValueCountFrequency (%)
5 32
14.9%
4 34
15.8%
3 57
26.5%
2 49
22.8%
1 40
18.6%

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.

Distinct5
Distinct (%)2.4%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean3.090047393
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:05.617301image/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 deviation1.402869677
Coefficient of variation (CV)0.4539961685
Kurtosis-1.210819874
Mean3.090047393
Median Absolute Deviation (MAD)1
Skewness-0.04666743725
Sum652
Variance1.968043331
MonotonicityNot monotonic
2025-02-26T17:48:05.658834image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 57
26.5%
5 49
22.8%
1 38
17.7%
2 35
16.3%
4 32
14.9%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 38
17.7%
2 35
16.3%
3 57
26.5%
4 32
14.9%
5 49
22.8%
ValueCountFrequency (%)
5 49
22.8%
4 32
14.9%
3 57
26.5%
2 35
16.3%
1 38
17.7%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.245283019
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:05.699007image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.354727169
Coefficient of variation (CV)0.6033658818
Kurtosis-0.6557068188
Mean2.245283019
Median Absolute Deviation (MAD)1
Skewness0.7811173175
Sum476
Variance1.835285702
MonotonicityNot monotonic
2025-02-26T17:48:05.739787image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 88
40.9%
2 49
22.8%
3 31
 
14.4%
4 23
 
10.7%
5 21
 
9.8%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 88
40.9%
2 49
22.8%
3 31
 
14.4%
4 23
 
10.7%
5 21
 
9.8%
ValueCountFrequency (%)
5 21
 
9.8%
4 23
 
10.7%
3 31
 
14.4%
2 49
22.8%
1 88
40.9%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.632075472
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:05.779303image/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 deviation0.9815885345
Coefficient of variation (CV)0.2702555446
Kurtosis-0.3122063965
Mean3.632075472
Median Absolute Deviation (MAD)1
Skewness-0.4504438113
Sum770
Variance0.9635160511
MonotonicityNot monotonic
2025-02-26T17:48:05.819333image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 87
40.5%
3 56
26.0%
5 40
18.6%
2 25
 
11.6%
1 4
 
1.9%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 4
 
1.9%
2 25
 
11.6%
3 56
26.0%
4 87
40.5%
5 40
18.6%
ValueCountFrequency (%)
5 40
18.6%
4 87
40.5%
3 56
26.0%
2 25
 
11.6%
1 4
 
1.9%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.54245283
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:05.859651image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation1.346608738
Coefficient of variation (CV)0.3801345571
Kurtosis-0.9564482357
Mean3.54245283
Median Absolute Deviation (MAD)1
Skewness-0.5201966874
Sum751
Variance1.813355093
MonotonicityNot monotonic
2025-02-26T17:48:05.901260image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 68
31.6%
4 54
25.1%
3 37
17.2%
2 31
14.4%
1 22
 
10.2%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 22
 
10.2%
2 31
14.4%
3 37
17.2%
4 54
25.1%
5 68
31.6%
ValueCountFrequency (%)
5 68
31.6%
4 54
25.1%
3 37
17.2%
2 31
14.4%
1 22
 
10.2%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.429245283
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:05.942749image/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 deviation0.9387363677
Coefficient of variation (CV)0.2737443053
Kurtosis0.1910289
Mean3.429245283
Median Absolute Deviation (MAD)1
Skewness-0.4002689402
Sum727
Variance0.881225968
MonotonicityNot monotonic
2025-02-26T17:48:05.982722image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 83
38.6%
4 78
36.3%
5 24
 
11.2%
2 19
 
8.8%
1 8
 
3.7%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 8
 
3.7%
2 19
 
8.8%
3 83
38.6%
4 78
36.3%
5 24
 
11.2%
ValueCountFrequency (%)
5 24
 
11.2%
4 78
36.3%
3 83
38.6%
2 19
 
8.8%
1 8
 
3.7%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.136792453
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.022141image/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 deviation1.202353574
Coefficient of variation (CV)0.3833067034
Kurtosis-0.7822458368
Mean3.136792453
Median Absolute Deviation (MAD)1
Skewness-0.2332008416
Sum665
Variance1.445654118
MonotonicityNot monotonic
2025-02-26T17:48:06.064412image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 65
30.2%
4 59
27.4%
2 34
15.8%
5 28
13.0%
1 26
 
12.1%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 26
 
12.1%
2 34
15.8%
3 65
30.2%
4 59
27.4%
5 28
13.0%
ValueCountFrequency (%)
5 28
13.0%
4 59
27.4%
3 65
30.2%
2 34
15.8%
1 26
 
12.1%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.627358491
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.104790image/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 deviation1.083178841
Coefficient of variation (CV)0.2986136727
Kurtosis-0.1619741255
Mean3.627358491
Median Absolute Deviation (MAD)1
Skewness-0.6598629062
Sum769
Variance1.173276402
MonotonicityNot monotonic
2025-02-26T17:48:06.145452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 87
40.5%
3 46
21.4%
5 45
20.9%
2 24
 
11.2%
1 10
 
4.7%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 10
 
4.7%
2 24
 
11.2%
3 46
21.4%
4 87
40.5%
5 45
20.9%
ValueCountFrequency (%)
5 45
20.9%
4 87
40.5%
3 46
21.4%
2 24
 
11.2%
1 10
 
4.7%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.575471698
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.184959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.105334872
Coefficient of variation (CV)0.4291776426
Kurtosis-0.3637243134
Mean2.575471698
Median Absolute Deviation (MAD)1
Skewness0.4128861819
Sum546
Variance1.221765179
MonotonicityNot monotonic
2025-02-26T17:48:06.227415image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 69
32.1%
2 68
31.6%
1 37
17.2%
4 24
 
11.2%
5 14
 
6.5%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 37
17.2%
2 68
31.6%
3 69
32.1%
4 24
 
11.2%
5 14
 
6.5%
ValueCountFrequency (%)
5 14
 
6.5%
4 24
 
11.2%
3 69
32.1%
2 68
31.6%
1 37
17.2%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.745283019
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.268160image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile4.45
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.084674112
Coefficient of variation (CV)0.3951046593
Kurtosis-0.6401662229
Mean2.745283019
Median Absolute Deviation (MAD)1
Skewness0.09448093647
Sum582
Variance1.176517929
MonotonicityNot monotonic
2025-02-26T17:48:06.310730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 73
34.0%
2 57
26.5%
4 41
19.1%
1 30
14.0%
5 11
 
5.1%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 30
14.0%
2 57
26.5%
3 73
34.0%
4 41
19.1%
5 11
 
5.1%
ValueCountFrequency (%)
5 11
 
5.1%
4 41
19.1%
3 73
34.0%
2 57
26.5%
1 30
14.0%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.221698113
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.351639image/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 deviation1.008448174
Coefficient of variation (CV)0.3130175883
Kurtosis-0.4583014336
Mean3.221698113
Median Absolute Deviation (MAD)1
Skewness-0.2053921241
Sum683
Variance1.016967719
MonotonicityNot monotonic
2025-02-26T17:48:06.393555image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 74
34.4%
4 69
32.1%
2 40
18.6%
5 19
 
8.8%
1 10
 
4.7%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 10
 
4.7%
2 40
18.6%
3 74
34.4%
4 69
32.1%
5 19
 
8.8%
ValueCountFrequency (%)
5 19
 
8.8%
4 69
32.1%
3 74
34.4%
2 40
18.6%
1 10
 
4.7%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.844339623
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.435194image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.126718188
Coefficient of variation (CV)0.2930849764
Kurtosis-0.3994890856
Mean3.844339623
Median Absolute Deviation (MAD)1
Skewness-0.7529903837
Sum815
Variance1.269493875
MonotonicityNot monotonic
2025-02-26T17:48:06.476961image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 74
34.4%
5 73
34.0%
3 30
14.0%
2 29
 
13.5%
1 6
 
2.8%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 6
 
2.8%
2 29
 
13.5%
3 30
14.0%
4 74
34.4%
5 73
34.0%
ValueCountFrequency (%)
5 73
34.0%
4 74
34.4%
3 30
14.0%
2 29
 
13.5%
1 6
 
2.8%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.519114image/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 deviation1.050840332
Coefficient of variation (CV)0.3002400948
Kurtosis-0.4229722787
Mean3.5
Median Absolute Deviation (MAD)1
Skewness-0.4452948453
Sum742
Variance1.104265403
MonotonicityNot monotonic
2025-02-26T17:48:06.620809image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 83
38.6%
3 55
25.6%
5 35
16.3%
2 31
 
14.4%
1 8
 
3.7%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 8
 
3.7%
2 31
 
14.4%
3 55
25.6%
4 83
38.6%
5 35
16.3%
ValueCountFrequency (%)
5 35
16.3%
4 83
38.6%
3 55
25.6%
2 31
 
14.4%
1 8
 
3.7%

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 (%)2.4%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean2.492890995
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.660631image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.152098162
Coefficient of variation (CV)0.462153445
Kurtosis-0.6901683919
Mean2.492890995
Median Absolute Deviation (MAD)1
Skewness0.4419165915
Sum526
Variance1.327330174
MonotonicityNot monotonic
2025-02-26T17:48:06.704462image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 74
34.4%
3 46
21.4%
1 45
20.9%
4 35
16.3%
5 11
 
5.1%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 45
20.9%
2 74
34.4%
3 46
21.4%
4 35
16.3%
5 11
 
5.1%
ValueCountFrequency (%)
5 11
 
5.1%
4 35
16.3%
3 46
21.4%
2 74
34.4%
1 45
20.9%

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.

Distinct5
Distinct (%)2.4%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean3.336492891
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.745311image/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 deviation1.035349043
Coefficient of variation (CV)0.3103105798
Kurtosis-0.7201162117
Mean3.336492891
Median Absolute Deviation (MAD)1
Skewness-0.1398348628
Sum704
Variance1.071947642
MonotonicityNot monotonic
2025-02-26T17:48:06.787513image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 70
32.6%
3 64
29.8%
2 43
20.0%
5 28
 
13.0%
1 6
 
2.8%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 6
 
2.8%
2 43
20.0%
3 64
29.8%
4 70
32.6%
5 28
 
13.0%
ValueCountFrequency (%)
5 28
 
13.0%
4 70
32.6%
3 64
29.8%
2 43
20.0%
1 6
 
2.8%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.943396226
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.828042image/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 deviation1.187056487
Coefficient of variation (CV)0.4032948321
Kurtosis-0.7849052275
Mean2.943396226
Median Absolute Deviation (MAD)1
Skewness0.04155202945
Sum624
Variance1.409103103
MonotonicityNot monotonic
2025-02-26T17:48:06.870155image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 70
32.6%
2 47
21.9%
4 43
20.0%
1 28
 
13.0%
5 24
 
11.2%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 28
 
13.0%
2 47
21.9%
3 70
32.6%
4 43
20.0%
5 24
 
11.2%
ValueCountFrequency (%)
5 24
 
11.2%
4 43
20.0%
3 70
32.6%
2 47
21.9%
1 28
 
13.0%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.023584906
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.910670image/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 deviation1.263565398
Coefficient of variation (CV)0.4179030644
Kurtosis-0.9806082168
Mean3.023584906
Median Absolute Deviation (MAD)1
Skewness0.0406995089
Sum641
Variance1.596597514
MonotonicityNot monotonic
2025-02-26T17:48:06.952266image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 61
28.4%
2 48
22.3%
4 41
19.1%
5 34
15.8%
1 28
13.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 28
13.0%
2 48
22.3%
3 61
28.4%
4 41
19.1%
5 34
15.8%
ValueCountFrequency (%)
5 34
15.8%
4 41
19.1%
3 61
28.4%
2 48
22.3%
1 28
13.0%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.966981132
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:06.992557image/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 deviation1.293015997
Coefficient of variation (CV)0.4358018942
Kurtosis-1.023801337
Mean2.966981132
Median Absolute Deviation (MAD)1
Skewness0.04858373795
Sum629
Variance1.671890369
MonotonicityNot monotonic
2025-02-26T17:48:07.033680image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 60
27.9%
2 45
20.9%
4 40
18.6%
1 34
15.8%
5 33
15.3%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 34
15.8%
2 45
20.9%
3 60
27.9%
4 40
18.6%
5 33
15.3%
ValueCountFrequency (%)
5 33
15.3%
4 40
18.6%
3 60
27.9%
2 45
20.9%
1 34
15.8%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.198113208
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.074815image/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 deviation1.283654523
Coefficient of variation (CV)0.4013787005
Kurtosis-1.08518007
Mean3.198113208
Median Absolute Deviation (MAD)1
Skewness-0.1725622879
Sum678
Variance1.647768935
MonotonicityNot monotonic
2025-02-26T17:48:07.115700image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 58
27.0%
2 46
21.4%
3 45
20.9%
5 39
18.1%
1 24
11.2%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 24
11.2%
2 46
21.4%
3 45
20.9%
4 58
27.0%
5 39
18.1%
ValueCountFrequency (%)
5 39
18.1%
4 58
27.0%
3 45
20.9%
2 46
21.4%
1 24
11.2%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.216981132
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.156474image/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 deviation1.192430446
Coefficient of variation (CV)0.3706675288
Kurtosis-0.9629817963
Mean3.216981132
Median Absolute Deviation (MAD)1
Skewness-0.1226407614
Sum682
Variance1.421890369
MonotonicityNot monotonic
2025-02-26T17:48:07.197445image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 60
27.9%
3 52
24.2%
2 50
23.3%
5 34
15.8%
1 16
 
7.4%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 16
 
7.4%
2 50
23.3%
3 52
24.2%
4 60
27.9%
5 34
15.8%
ValueCountFrequency (%)
5 34
15.8%
4 60
27.9%
3 52
24.2%
2 50
23.3%
1 16
 
7.4%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.938679245
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.238317image/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 deviation1.144123312
Coefficient of variation (CV)0.3893324913
Kurtosis-0.828772688
Mean2.938679245
Median Absolute Deviation (MAD)1
Skewness0.04427636686
Sum623
Variance1.309018153
MonotonicityNot monotonic
2025-02-26T17:48:07.279233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 61
28.4%
2 57
26.5%
4 52
24.2%
1 23
 
10.7%
5 19
 
8.8%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 23
 
10.7%
2 57
26.5%
3 61
28.4%
4 52
24.2%
5 19
 
8.8%
ValueCountFrequency (%)
5 19
 
8.8%
4 52
24.2%
3 61
28.4%
2 57
26.5%
1 23
 
10.7%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean2.778301887
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.319124image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.058882959
Coefficient of variation (CV)0.3811259548
Kurtosis-0.4702898459
Mean2.778301887
Median Absolute Deviation (MAD)1
Skewness0.357280347
Sum589
Variance1.121233122
MonotonicityNot monotonic
2025-02-26T17:48:07.361403image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 75
34.9%
3 67
31.2%
4 36
16.7%
1 19
 
8.8%
5 15
 
7.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 19
 
8.8%
2 75
34.9%
3 67
31.2%
4 36
16.7%
5 15
 
7.0%
ValueCountFrequency (%)
5 15
 
7.0%
4 36
16.7%
3 67
31.2%
2 75
34.9%
1 19
 
8.8%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.141509434
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.401922image/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 deviation1.113796966
Coefficient of variation (CV)0.3545419773
Kurtosis-0.8107455632
Mean3.141509434
Median Absolute Deviation (MAD)1
Skewness-0.01289178094
Sum666
Variance1.240543682
MonotonicityNot monotonic
2025-02-26T17:48:07.443480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 63
29.3%
4 57
26.5%
2 53
24.7%
5 26
12.1%
1 13
 
6.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 13
 
6.0%
2 53
24.7%
3 63
29.3%
4 57
26.5%
5 26
12.1%
ValueCountFrequency (%)
5 26
12.1%
4 57
26.5%
3 63
29.3%
2 53
24.7%
1 13
 
6.0%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.764150943
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.483664image/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 deviation0.8821761846
Coefficient of variation (CV)0.2343625954
Kurtosis-0.03953913479
Mean3.764150943
Median Absolute Deviation (MAD)1
Skewness-0.4392828031
Sum798
Variance0.7782348207
MonotonicityNot monotonic
2025-02-26T17:48:07.524573image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 94
43.7%
3 59
27.4%
5 43
20.0%
2 14
 
6.5%
1 2
 
0.9%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 2
 
0.9%
2 14
 
6.5%
3 59
27.4%
4 94
43.7%
5 43
20.0%
ValueCountFrequency (%)
5 43
20.0%
4 94
43.7%
3 59
27.4%
2 14
 
6.5%
1 2
 
0.9%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.839622642
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.563848image/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 deviation0.8502778186
Coefficient of variation (CV)0.2214482771
Kurtosis-0.03257688063
Mean3.839622642
Median Absolute Deviation (MAD)1
Skewness-0.4804507944
Sum814
Variance0.7229723688
MonotonicityNot monotonic
2025-02-26T17:48:07.604198image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 101
47.0%
3 51
23.7%
5 46
21.4%
2 13
 
6.0%
1 1
 
0.5%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 1
 
0.5%
2 13
 
6.0%
3 51
23.7%
4 101
47.0%
5 46
21.4%
ValueCountFrequency (%)
5 46
21.4%
4 101
47.0%
3 51
23.7%
2 13
 
6.0%
1 1
 
0.5%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.004716981
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.644836image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.961326303
Coefficient of variation (CV)0.2400484997
Kurtosis0.279409445
Mean4.004716981
Median Absolute Deviation (MAD)1
Skewness-0.8496045938
Sum849
Variance0.9241482608
MonotonicityNot monotonic
2025-02-26T17:48:07.684490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 83
38.6%
5 75
34.9%
3 37
17.2%
2 14
 
6.5%
1 3
 
1.4%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 3
 
1.4%
2 14
 
6.5%
3 37
17.2%
4 83
38.6%
5 75
34.9%
ValueCountFrequency (%)
5 75
34.9%
4 83
38.6%
3 37
17.2%
2 14
 
6.5%
1 3
 
1.4%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.551886792
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.724554image/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 deviation1.076304995
Coefficient of variation (CV)0.3030234514
Kurtosis-0.5965114695
Mean3.551886792
Median Absolute Deviation (MAD)1
Skewness-0.2967306228
Sum753
Variance1.158432442
MonotonicityNot monotonic
2025-02-26T17:48:07.766509image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 68
31.6%
4 62
28.8%
5 48
22.3%
2 27
 
12.6%
1 7
 
3.3%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 7
 
3.3%
2 27
 
12.6%
3 68
31.6%
4 62
28.8%
5 48
22.3%
ValueCountFrequency (%)
5 48
22.3%
4 62
28.8%
3 68
31.6%
2 27
 
12.6%
1 7
 
3.3%

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 (%)2.4%
Missing4
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean2.502369668
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.806986image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.281273205
Coefficient of variation (CV)0.512023951
Kurtosis-0.8232440342
Mean2.502369668
Median Absolute Deviation (MAD)1
Skewness0.5020773731
Sum528
Variance1.641661025
MonotonicityNot monotonic
2025-02-26T17:48:07.849082image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 63
29.3%
1 56
26.0%
3 42
19.5%
4 30
14.0%
5 20
 
9.3%
(Missing) 4
 
1.9%
ValueCountFrequency (%)
1 56
26.0%
2 63
29.3%
3 42
19.5%
4 30
14.0%
5 20
 
9.3%
ValueCountFrequency (%)
5 20
 
9.3%
4 30
14.0%
3 42
19.5%
2 63
29.3%
1 56
26.0%

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 (%)1.9%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.155660377
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.887505image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8919418285
Coefficient of variation (CV)0.2146329939
Kurtosis-0.2229676301
Mean4.155660377
Median Absolute Deviation (MAD)1
Skewness-0.7968928068
Sum881
Variance0.7955602253
MonotonicityNot monotonic
2025-02-26T17:48:07.924047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 91
42.3%
4 75
34.9%
3 34
 
15.8%
2 12
 
5.6%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
2 12
 
5.6%
3 34
 
15.8%
4 75
34.9%
5 91
42.3%
ValueCountFrequency (%)
5 91
42.3%
4 75
34.9%
3 34
 
15.8%
2 12
 
5.6%

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 (%)1.9%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.193396226
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:07.959407image/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 deviation0.7881550679
Coefficient of variation (CV)0.1879514897
Kurtosis-0.4633910133
Mean4.193396226
Median Absolute Deviation (MAD)1
Skewness-0.5920017845
Sum889
Variance0.621188411
MonotonicityNot monotonic
2025-02-26T17:48:07.995478image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 86
40.0%
4 85
39.5%
3 37
17.2%
2 4
 
1.9%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
2 4
 
1.9%
3 37
17.2%
4 85
39.5%
5 86
40.0%
ValueCountFrequency (%)
5 86
40.0%
4 85
39.5%
3 37
17.2%
2 4
 
1.9%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.726415094
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.033296image/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 deviation0.892655858
Coefficient of variation (CV)0.2395481543
Kurtosis0.04411796961
Mean3.726415094
Median Absolute Deviation (MAD)1
Skewness-0.4013204138
Sum790
Variance0.7968344809
MonotonicityNot monotonic
2025-02-26T17:48:08.072947image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 88
40.9%
3 67
31.2%
5 42
19.5%
2 12
 
5.6%
1 3
 
1.4%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 3
 
1.4%
2 12
 
5.6%
3 67
31.2%
4 88
40.9%
5 42
19.5%
ValueCountFrequency (%)
5 42
19.5%
4 88
40.9%
3 67
31.2%
2 12
 
5.6%
1 3
 
1.4%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.424528302
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.113026image/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 deviation1.02525561
Coefficient of variation (CV)0.2993859357
Kurtosis-0.5533311783
Mean3.424528302
Median Absolute Deviation (MAD)1
Skewness-0.1540150977
Sum726
Variance1.051149066
MonotonicityNot monotonic
2025-02-26T17:48:08.154430image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 75
34.9%
4 64
29.8%
5 35
16.3%
2 32
14.9%
1 6
 
2.8%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 6
 
2.8%
2 32
14.9%
3 75
34.9%
4 64
29.8%
5 35
16.3%
ValueCountFrequency (%)
5 35
16.3%
4 64
29.8%
3 75
34.9%
2 32
14.9%
1 6
 
2.8%

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 (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.377358491
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.194929image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.126609056
Coefficient of variation (CV)0.3335769831
Kurtosis-0.5161591722
Mean3.377358491
Median Absolute Deviation (MAD)0.5
Skewness-0.4034318306
Sum716
Variance1.269247966
MonotonicityNot monotonic
2025-02-26T17:48:08.237090image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 72
33.5%
3 61
28.4%
5 34
15.8%
2 30
14.0%
1 15
 
7.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 15
 
7.0%
2 30
14.0%
3 61
28.4%
4 72
33.5%
5 34
15.8%
ValueCountFrequency (%)
5 34
15.8%
4 72
33.5%
3 61
28.4%
2 30
14.0%
1 15
 
7.0%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.617924528
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.277458image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.180512955
Coefficient of variation (CV)0.3262956278
Kurtosis-0.4523935519
Mean3.617924528
Median Absolute Deviation (MAD)1
Skewness-0.5994506624
Sum767
Variance1.393610838
MonotonicityNot monotonic
2025-02-26T17:48:08.319557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 68
31.6%
5 57
26.5%
3 50
23.3%
2 23
 
10.7%
1 14
 
6.5%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 14
 
6.5%
2 23
 
10.7%
3 50
23.3%
4 68
31.6%
5 57
26.5%
ValueCountFrequency (%)
5 57
26.5%
4 68
31.6%
3 50
23.3%
2 23
 
10.7%
1 14
 
6.5%

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.

Distinct5
Distinct (%)2.4%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.844339623
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.360085image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.039192193
Coefficient of variation (CV)0.2703174785
Kurtosis-0.1655111822
Mean3.844339623
Median Absolute Deviation (MAD)1
Skewness-0.6812446587
Sum815
Variance1.079920415
MonotonicityNot monotonic
2025-02-26T17:48:08.402109image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 76
35.3%
5 66
30.7%
3 46
21.4%
2 19
 
8.8%
1 5
 
2.3%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 5
 
2.3%
2 19
 
8.8%
3 46
21.4%
4 76
35.3%
5 66
30.7%
ValueCountFrequency (%)
5 66
30.7%
4 76
35.3%
3 46
21.4%
2 19
 
8.8%
1 5
 
2.3%

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 (%)0.9%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.075471698
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.443040image/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 deviation0.2647761536
Coefficient of variation (CV)0.2461953709
Kurtosis8.560368337
Mean1.075471698
Median Absolute Deviation (MAD)0
Skewness3.237235852
Sum228
Variance0.07010641152
MonotonicityNot monotonic
2025-02-26T17:48:08.479881image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 196
91.2%
2 16
 
7.4%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 196
91.2%
2 16
 
7.4%
ValueCountFrequency (%)
2 16
 
7.4%
1 196
91.2%

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

Distinct4
Distinct (%)2.0%
Missing19
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean2.107142857
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.576991image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q32
95-th percentile3
Maximum4
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.593771086
Coefficient of variation (CV)0.2817896679
Kurtosis2.603860354
Mean2.107142857
Median Absolute Deviation (MAD)0
Skewness1.006323459
Sum413
Variance0.3525641026
MonotonicityNot monotonic
2025-02-26T17:48:08.615304image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 146
67.9%
3 25
 
11.6%
1 18
 
8.4%
4 7
 
3.3%
(Missing) 19
 
8.8%
ValueCountFrequency (%)
1 18
 
8.4%
2 146
67.9%
3 25
 
11.6%
4 7
 
3.3%
ValueCountFrequency (%)
4 7
 
3.3%
3 25
 
11.6%
2 146
67.9%
1 18
 
8.4%

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 (%)0.9%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1.023584906
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.655306image/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 deviation0.1521111385
Coefficient of variation (CV)0.1486062735
Kurtosis38.35087217
Mean1.023584906
Median Absolute Deviation (MAD)0
Skewness6.323697079
Sum217
Variance0.02313779844
MonotonicityNot monotonic
2025-02-26T17:48:08.692386image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 207
96.3%
2 5
 
2.3%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
1 207
96.3%
2 5
 
2.3%
ValueCountFrequency (%)
2 5
 
2.3%
1 207
96.3%

w3_interviewtime
Real number (ℝ)

interviewtime

Distinct214
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean539.9859535
Minimum0
Maximum2817.27
Zeros2
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.735467image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile225.616
Q1339.515
median438.38
Q3625.39
95-th percentile1227.998
Maximum2817.27
Range2817.27
Interquartile range (IQR)285.875

Descriptive statistics

Standard deviation360.6428916
Coefficient of variation (CV)0.6678745795
Kurtosis11.46574835
Mean539.9859535
Median Absolute Deviation (MAD)125.51
Skewness2.788938015
Sum116096.98
Variance130063.2953
MonotonicityNot monotonic
2025-02-26T17:48:08.784819image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2
 
0.9%
885.69 1
 
0.5%
232.47 1
 
0.5%
437.84 1
 
0.5%
630.39 1
 
0.5%
1218.02 1
 
0.5%
332.42 1
 
0.5%
475.88 1
 
0.5%
699.97 1
 
0.5%
174.41 1
 
0.5%
Other values (204) 204
94.9%
ValueCountFrequency (%)
0.0 2
0.9%
118.25 1
0.5%
170.28 1
0.5%
174.41 1
0.5%
186.72 1
0.5%
ValueCountFrequency (%)
2817.27 1
0.5%
2474.56 1
0.5%
1796.13 1
0.5%
1581.66 1
0.5%
1571.57 1
0.5%

w3_GT_A
Real number (ℝ)

Distinct212
Distinct (%)99.5%
Missing2
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean195.2083099
Minimum14.86
Maximum1747.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.835158image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum14.86
5-th percentile53.55
Q180.29
median123.25
Q3218.45
95-th percentile588.718
Maximum1747.92
Range1733.06
Interquartile range (IQR)138.16

Descriptive statistics

Standard deviation219.8624046
Coefficient of variation (CV)1.126296338
Kurtosis20.57721146
Mean195.2083099
Median Absolute Deviation (MAD)50.98
Skewness3.923184494
Sum41579.37
Variance48339.47697
MonotonicityNot monotonic
2025-02-26T17:48:08.887817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112.79 2
 
0.9%
52.19 1
 
0.5%
64.99 1
 
0.5%
676.05 1
 
0.5%
134.99 1
 
0.5%
78.84 1
 
0.5%
191.76 1
 
0.5%
44.38 1
 
0.5%
66.6 1
 
0.5%
161.09 1
 
0.5%
Other values (202) 202
94.0%
(Missing) 2
 
0.9%
ValueCountFrequency (%)
14.86 1
0.5%
18.34 1
0.5%
35.0 1
0.5%
37.96 1
0.5%
38.36 1
0.5%
ValueCountFrequency (%)
1747.92 1
0.5%
1611.83 1
0.5%
1089.67 1
0.5%
869.52 1
0.5%
799.01 1
0.5%

w3_GT_B
Real number (ℝ)

Missing 

Distinct212
Distinct (%)100.0%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean254.1687264
Minimum75.69
Maximum1423.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:08.940397image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum75.69
5-th percentile118.2915
Q1160.1825
median200.15
Q3276.9275
95-th percentile571.561
Maximum1423.05
Range1347.36
Interquartile range (IQR)116.745

Descriptive statistics

Standard deviation182.4802584
Coefficient of variation (CV)0.7179492968
Kurtosis14.96024015
Mean254.1687264
Median Absolute Deviation (MAD)49.125
Skewness3.454933476
Sum53883.77
Variance33299.04471
MonotonicityNot monotonic
2025-02-26T17:48:08.995104image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133.56 1
 
0.5%
467.02 1
 
0.5%
316.55 1
 
0.5%
166.58 1
 
0.5%
241.53 1
 
0.5%
300.36 1
 
0.5%
102.53 1
 
0.5%
141.24 1
 
0.5%
141.22 1
 
0.5%
200.17 1
 
0.5%
Other values (202) 202
94.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
75.69 1
0.5%
101.77 1
0.5%
102.23 1
0.5%
102.53 1
0.5%
104.88 1
0.5%
ValueCountFrequency (%)
1423.05 1
0.5%
1206.75 1
0.5%
1138.84 1
0.5%
1000.54 1
0.5%
952.68 1
0.5%

w3_GT_C
Real number (ℝ)

Missing 

Distinct210
Distinct (%)99.1%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean81.06731132
Minimum6.87
Maximum825.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:09.048440image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.87
5-th percentile13.1495
Q143.9975
median66.025
Q397.36
95-th percentile198.412
Maximum825.6
Range818.73
Interquartile range (IQR)53.3625

Descriptive statistics

Standard deviation75.79916636
Coefficient of variation (CV)0.935015176
Kurtosis44.06292473
Mean81.06731132
Median Absolute Deviation (MAD)29.1
Skewness5.069749983
Sum17186.27
Variance5745.513621
MonotonicityNot monotonic
2025-02-26T17:48:09.099519image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.49 2
 
0.9%
73.06 2
 
0.9%
88.07 1
 
0.5%
212.71 1
 
0.5%
14.79 1
 
0.5%
131.91 1
 
0.5%
196.27 1
 
0.5%
14.15 1
 
0.5%
42.88 1
 
0.5%
74.03 1
 
0.5%
Other values (200) 200
93.0%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
6.87 1
0.5%
9.55 1
0.5%
9.59 1
0.5%
9.84 1
0.5%
10.1 1
0.5%
ValueCountFrequency (%)
825.6 1
0.5%
336.14 1
0.5%
276.14 1
0.5%
263.0 1
0.5%
240.52 1
0.5%

w3_GT_D
Real number (ℝ)

Missing 

Distinct200
Distinct (%)94.3%
Missing3
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean16.26212264
Minimum4.77
Maximum121.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2025-02-26T17:48:09.149786image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum4.77
5-th percentile8.408
Q111.0325
median13.54
Q318.0425
95-th percentile28.1245
Maximum121.78
Range117.01
Interquartile range (IQR)7.01

Descriptive statistics

Standard deviation11.4979478
Coefficient of variation (CV)0.7070385613
Kurtosis43.57985198
Mean16.26212264
Median Absolute Deviation (MAD)3.06
Skewness5.763198802
Sum3447.57
Variance132.2028035
MonotonicityNot monotonic
2025-02-26T17:48:09.203825image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.45 2
 
0.9%
12.84 2
 
0.9%
11.86 2
 
0.9%
12.71 2
 
0.9%
13.54 2
 
0.9%
16.05 2
 
0.9%
14.06 2
 
0.9%
21.0 2
 
0.9%
13.4 2
 
0.9%
12.67 2
 
0.9%
Other values (190) 192
89.3%
(Missing) 3
 
1.4%
ValueCountFrequency (%)
4.77 1
0.5%
6.16 1
0.5%
6.44 1
0.5%
6.96 1
0.5%
7.26 1
0.5%
ValueCountFrequency (%)
121.78 1
0.5%
85.03 1
0.5%
82.74 1
0.5%
40.08 1
0.5%
37.33 1
0.5%