Overview

Dataset statistics

Number of variables4
Number of observations3235
Missing cells0
Missing cells (%)0.0%
Total size in memory175.0 KiB
Average record size in memory55.4 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 "wenetDenmark"Constant
timestamp has unique valuesUnique
userid has 263 (8.1%) zerosZeros

Reproduction

Analysis started2024-11-23 01:51:48.449225
Analysis finished2024-11-23 01:51:48.568117
Duration0.12 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 size63.3 KiB
2024-11-23T02:51:48.641213image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters38820
Distinct characters9
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 rowwenetDenmark
2nd rowwenetDenmark
3rd rowwenetDenmark
4th rowwenetDenmark
5th rowwenetDenmark
ValueCountFrequency (%)
wenetdenmark 3235
100.0%
2024-11-23T02:51:48.901081image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 9705
25.0%
n 6470
16.7%
w 3235
 
8.3%
t 3235
 
8.3%
D 3235
 
8.3%
m 3235
 
8.3%
a 3235
 
8.3%
r 3235
 
8.3%
k 3235
 
8.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 38820
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 9705
25.0%
n 6470
16.7%
w 3235
 
8.3%
t 3235
 
8.3%
D 3235
 
8.3%
m 3235
 
8.3%
a 3235
 
8.3%
r 3235
 
8.3%
k 3235
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 38820
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 9705
25.0%
n 6470
16.7%
w 3235
 
8.3%
t 3235
 
8.3%
D 3235
 
8.3%
m 3235
 
8.3%
a 3235
 
8.3%
r 3235
 
8.3%
k 3235
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 38820
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 9705
25.0%
n 6470
16.7%
w 3235
 
8.3%
t 3235
 
8.3%
D 3235
 
8.3%
m 3235
 
8.3%
a 3235
 
8.3%
r 3235
 
8.3%
k 3235
 
8.3%

userid
Real number (ℝ)

ZEROS 

User id

Distinct13
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.72333849
Minimum0
Maximum27
Zeros263
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size25.4 KiB
2024-11-23T02:51:49.013221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median17
Q319
95-th percentile27
Maximum27
Range27
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.725288529
Coefficient of variation (CV)0.4913262241
Kurtosis-0.07654250593
Mean15.72333849
Median Absolute Deviation (MAD)0
Skewness-0.833231721
Sum50865
Variance59.68008285
MonotonicityIncreasing
2024-11-23T02:51:49.109699image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
17 1734
53.6%
2 309
 
9.6%
0 263
 
8.1%
27 241
 
7.4%
21 171
 
5.3%
26 169
 
5.2%
23 95
 
2.9%
8 75
 
2.3%
22 71
 
2.2%
20 59
 
1.8%
Other values (3) 48
 
1.5%
ValueCountFrequency (%)
0 263
8.1%
2 309
9.6%
6 3
 
0.1%
8 75
 
2.3%
16 41
 
1.3%
ValueCountFrequency (%)
27 241
7.4%
26 169
5.2%
23 95
 
2.9%
22 71
 
2.2%
21 171
5.3%

timestamp
Date

UNIQUE 

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

Distinct3235
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.4 KiB
Minimum2020-11-16 07:00:21.764000
Maximum2020-12-11 17:58:24.607000
2024-11-23T02:51:49.230669image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-11-23T02:51:49.350339image/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 size61.3 KiB
2024-11-23T02:51:49.434425image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.3511592
Min length11

Characters and Unicode

Total characters36721
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_vibrate
2nd rowmode_vibrate
3rd rowmode_vibrate
4th rowmode_vibrate
5th rowmode_silent
ValueCountFrequency (%)
mode_vibrate 1136
35.1%
mode_normal 1071
33.1%
mode_silent 1028
31.8%
2024-11-23T02:51:49.620036image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 5399
14.7%
m 4306
11.7%
o 4306
11.7%
d 3235
8.8%
_ 3235
8.8%
r 2207
6.0%
a 2207
6.0%
i 2164
5.9%
t 2164
5.9%
n 2099
 
5.7%
Other values (4) 5399
14.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 36721
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 5399
14.7%
m 4306
11.7%
o 4306
11.7%
d 3235
8.8%
_ 3235
8.8%
r 2207
6.0%
a 2207
6.0%
i 2164
5.9%
t 2164
5.9%
n 2099
 
5.7%
Other values (4) 5399
14.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 36721
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 5399
14.7%
m 4306
11.7%
o 4306
11.7%
d 3235
8.8%
_ 3235
8.8%
r 2207
6.0%
a 2207
6.0%
i 2164
5.9%
t 2164
5.9%
n 2099
 
5.7%
Other values (4) 5399
14.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 36721
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 5399
14.7%
m 4306
11.7%
o 4306
11.7%
d 3235
8.8%
_ 3235
8.8%
r 2207
6.0%
a 2207
6.0%
i 2164
5.9%
t 2164
5.9%
n 2099
 
5.7%
Other values (4) 5399
14.7%