Overview

Dataset statistics

Number of variables4
Number of observations5233
Missing cells0
Missing cells (%)0.0%
Total size in memory272.7 KiB
Average record size in memory53.4 B

Variable types

Text2
Numeric1
DateTime1

Dataset

Description[0/1] Returns the current ring status of the phone (normal/silent/vibrate). 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)
statusThe ring mode status (silent, vibrante, normal)

Alerts

experimentid has constant value "wenetIndia"Constant
timestamp has unique valuesUnique
userid has 388 (7.4%) zerosZeros

Reproduction

Analysis started2024-11-22 12:32:53.882529
Analysis finished2024-11-22 12:32:54.011287
Duration0.13 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 size92.1 KiB
2024-11-22T13:32:54.080468image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters52330
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 5233
100.0%
2024-11-22T13:32:54.344577image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 10466
20.0%
n 10466
20.0%
w 5233
10.0%
t 5233
10.0%
I 5233
10.0%
d 5233
10.0%
i 5233
10.0%
a 5233
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 52330
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 10466
20.0%
n 10466
20.0%
w 5233
10.0%
t 5233
10.0%
I 5233
10.0%
d 5233
10.0%
i 5233
10.0%
a 5233
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 52330
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 10466
20.0%
n 10466
20.0%
w 5233
10.0%
t 5233
10.0%
I 5233
10.0%
d 5233
10.0%
i 5233
10.0%
a 5233
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 52330
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 10466
20.0%
n 10466
20.0%
w 5233
10.0%
t 5233
10.0%
I 5233
10.0%
d 5233
10.0%
i 5233
10.0%
a 5233
10.0%

userid
Real number (ℝ)

ZEROS 

User id

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.71679725
Minimum0
Maximum62
Zeros388
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size41.0 KiB
2024-11-22T13:32:54.455727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median26
Q326
95-th percentile35
Maximum62
Range62
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.45653496
Coefficient of variation (CV)0.5047370419
Kurtosis0.1191275036
Mean20.71679725
Median Absolute Deviation (MAD)0
Skewness-0.2529213954
Sum108411
Variance109.3391234
MonotonicityIncreasing
2024-11-22T13:32:54.550786image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
26 3146
60.1%
9 1078
 
20.6%
0 388
 
7.4%
12 185
 
3.5%
35 139
 
2.7%
43 104
 
2.0%
8 52
 
1.0%
44 50
 
1.0%
24 42
 
0.8%
4 16
 
0.3%
Other values (5) 33
 
0.6%
ValueCountFrequency (%)
0 388
 
7.4%
4 16
 
0.3%
8 52
 
1.0%
9 1078
20.6%
12 185
 
3.5%
ValueCountFrequency (%)
62 14
 
0.3%
57 2
 
< 0.1%
49 10
 
0.2%
46 1
 
< 0.1%
44 50
1.0%

timestamp
Date

UNIQUE 

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

Distinct5233
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size41.0 KiB
Minimum2021-07-12 23:00:00.075000
Maximum2021-08-11 16:10:31.948000
2024-11-22T13:32:54.663493image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-11-22T13:32:54.784520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

status
Text

The ring mode status (silent, vibrante, normal)

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size98.9 KiB
2024-11-22T13:32:54.871940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.33403401
Min length11

Characters and Unicode

Total characters59311
Distinct characters14
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 rowmode_normal
2nd rowmode_normal
3rd rowmode_normal
4th rowmode_normal
5th rowmode_normal
ValueCountFrequency (%)
mode_normal 2416
46.2%
mode_vibrate 1748
33.4%
mode_silent 1069
20.4%
2024-11-22T13:32:55.064237image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 8050
13.6%
m 7649
12.9%
o 7649
12.9%
d 5233
8.8%
_ 5233
8.8%
r 4164
7.0%
a 4164
7.0%
n 3485
5.9%
l 3485
5.9%
i 2817
 
4.7%
Other values (4) 7382
12.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 59311
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 8050
13.6%
m 7649
12.9%
o 7649
12.9%
d 5233
8.8%
_ 5233
8.8%
r 4164
7.0%
a 4164
7.0%
n 3485
5.9%
l 3485
5.9%
i 2817
 
4.7%
Other values (4) 7382
12.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 59311
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 8050
13.6%
m 7649
12.9%
o 7649
12.9%
d 5233
8.8%
_ 5233
8.8%
r 4164
7.0%
a 4164
7.0%
n 3485
5.9%
l 3485
5.9%
i 2817
 
4.7%
Other values (4) 7382
12.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 59311
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 8050
13.6%
m 7649
12.9%
o 7649
12.9%
d 5233
8.8%
_ 5233
8.8%
r 4164
7.0%
a 4164
7.0%
n 3485
5.9%
l 3485
5.9%
i 2817
 
4.7%
Other values (4) 7382
12.4%