Overview

Dataset statistics

Number of variables3
Number of observations109321261
Missing cells0
Missing cells (%)0.0%
Total size in memory4.3 GiB
Average record size in memory42.0 B

Variable types

Text1
Numeric1
DateTime1

Dataset

Description[unitless] Returns the number of screen touch occurred. 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.
CreatorAndrea Bontempelli, Matteo Busso, Roy Alia Asiku
AuthorAndrea Bontempelli, Matteo Busso, Fausto Giunchiglia
URL
Copyright(c) University of Trento - Knowledge Diversity 2023

Variable descriptions

experimentidExperiment Id
useridUser id
timestampshow month(2), day(2), hour(2), minute(2), second(2), decimals(3)

Alerts

experimentid has constant value "wenetItaly"Constant

Reproduction

Analysis started2024-11-23 05:59:15.769433
Analysis finished2024-11-23 06:05:10.543881
Duration5 minutes and 54.77 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

experimentid
Text

CONSTANT 

Experiment Id

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size2.6 GiB
2024-11-23T07:05:10.615295image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1093212610
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 109321261
100.0%
2024-11-23T07:05:10.865293image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 218642522
20.0%
t 218642522
20.0%
w 109321261
10.0%
n 109321261
10.0%
I 109321261
10.0%
a 109321261
10.0%
l 109321261
10.0%
y 109321261
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1093212610
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 218642522
20.0%
t 218642522
20.0%
w 109321261
10.0%
n 109321261
10.0%
I 109321261
10.0%
a 109321261
10.0%
l 109321261
10.0%
y 109321261
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1093212610
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 218642522
20.0%
t 218642522
20.0%
w 109321261
10.0%
n 109321261
10.0%
I 109321261
10.0%
a 109321261
10.0%
l 109321261
10.0%
y 109321261
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1093212610
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 218642522
20.0%
t 218642522
20.0%
w 109321261
10.0%
n 109321261
10.0%
I 109321261
10.0%
a 109321261
10.0%
l 109321261
10.0%
y 109321261
10.0%

userid
Real number (ℝ)

User id

Distinct182
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.5866532
Minimum1
Maximum264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 GiB
2024-11-23T07:05:10.994575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q166
median148
Q3212
95-th percentile255
Maximum264
Range263
Interquartile range (IQR)146

Descriptive statistics

Standard deviation80.5261362
Coefficient of variation (CV)0.5768899414
Kurtosis-1.347967992
Mean139.5866532
Median Absolute Deviation (MAD)73
Skewness-0.109273064
Sum1.525978895 × 1010
Variance6484.458611
MonotonicityIncreasing
2024-11-23T07:05:11.116080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 5409345
 
4.9%
66 4932780
 
4.5%
212 3447419
 
3.2%
245 3398455
 
3.1%
58 3340294
 
3.1%
258 3149781
 
2.9%
175 2501973
 
2.3%
161 2351035
 
2.2%
221 2324510
 
2.1%
118 2189917
 
2.0%
Other values (172) 76275752
69.8%
ValueCountFrequency (%)
1 773315
0.7%
2 424572
0.4%
3 785524
0.7%
4 166408
 
0.2%
5 924568
0.8%
ValueCountFrequency (%)
264 117301
 
0.1%
263 904742
0.8%
262 215260
 
0.2%
260 13492
 
< 0.1%
259 203399
 
0.2%

timestamp
Date

show month(2), day(2), hour(2), minute(2), second(2), decimals(3)

Distinct105766935
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.6 GiB
Minimum2020-11-16 07:00:00.718000
Maximum2020-12-11 21:59:59.921000
2024-11-23T07:05:11.237423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-11-23T07:05:11.359106image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)