Overview

Dataset statistics

Number of variables4
Number of observations425
Missing cells0
Missing cells (%)0.0%
Total size in memory14.7 KiB
Average record size in memory35.3 B

Variable types

Text1
Numeric1
DateTime1
Boolean1

Dataset

Description[0/1] Returns whether the headphones of the phone were connected. 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)
statusReturn if the headset plug has been inserted

Alerts

experimentid has constant value "wenetIndia"Constant
timestamp has unique valuesUnique

Reproduction

Analysis started2024-11-22 12:31:49.177577
Analysis finished2024-11-22 12:31:49.373127
Duration0.2 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

experimentid
Text

CONSTANT 

Experiment Id

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.6 KiB
2024-11-22T13:31:49.430373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters4250
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetIndia
2nd rowwenetIndia
3rd rowwenetIndia
4th rowwenetIndia
5th rowwenetIndia
ValueCountFrequency (%)
wenetindia 425
100.0%
2024-11-22T13:31:49.612400image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 850
20.0%
n 850
20.0%
w 425
10.0%
t 425
10.0%
I 425
10.0%
d 425
10.0%
i 425
10.0%
a 425
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4250
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 850
20.0%
n 850
20.0%
w 425
10.0%
t 425
10.0%
I 425
10.0%
d 425
10.0%
i 425
10.0%
a 425
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4250
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 850
20.0%
n 850
20.0%
w 425
10.0%
t 425
10.0%
I 425
10.0%
d 425
10.0%
i 425
10.0%
a 425
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4250
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 850
20.0%
n 850
20.0%
w 425
10.0%
t 425
10.0%
I 425
10.0%
d 425
10.0%
i 425
10.0%
a 425
10.0%

userid
Real number (ℝ)

User id

Distinct9
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.09647059
Minimum18
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2024-11-22T13:31:49.711613image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile24
Q135
median43
Q357
95-th percentile57
Maximum57
Range39
Interquartile range (IQR)22

Descriptive statistics

Standard deviation12.48253919
Coefficient of variation (CV)0.303737499
Kurtosis-1.11024755
Mean41.09647059
Median Absolute Deviation (MAD)14
Skewness-0.1678252284
Sum17466
Variance155.8137847
MonotonicityIncreasing
2024-11-22T13:31:49.803894image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
43 123
28.9%
57 120
28.2%
35 63
14.8%
24 44
 
10.4%
26 29
 
6.8%
18 20
 
4.7%
44 12
 
2.8%
25 10
 
2.4%
46 4
 
0.9%
ValueCountFrequency (%)
18 20
 
4.7%
24 44
10.4%
25 10
 
2.4%
26 29
6.8%
35 63
14.8%
ValueCountFrequency (%)
57 120
28.2%
46 4
 
0.9%
44 12
 
2.8%
43 123
28.9%
35 63
14.8%

timestamp
Date

UNIQUE 

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

Distinct425
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2021-07-12 10:05:32.838000
Maximum2021-08-07 01:17:03.253000
2024-11-22T13:31:49.918294image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-11-22T13:31:50.036979image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

status
Boolean

Return if the headset plug has been inserted

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size557.0 B
True
223 
False
202 
ValueCountFrequency (%)
True 223
52.5%
False 202
47.5%
2024-11-22T13:31:50.132602image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-11-22T13:31:50.187308image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
statususerid
status1.000-0.039
userid-0.0391.000