Overview

Dataset statistics

Number of variables4
Number of observations1777
Missing cells0
Missing cells (%)0.0%
Total size in memory60.9 KiB
Average record size in memory35.1 B

Variable types

Text1
Numeric1
DateTime1
Boolean1

Dataset

Description[unitless] Returns whether the phone’s Airplane mode is ON/OFF. 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 status of whether the mode is on or off

Alerts

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

Reproduction

Analysis started2024-11-23 05:57:14.495060
Analysis finished2024-11-23 05:57:14.666182
Duration0.17 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 size31.4 KiB
2024-11-23T06:57:14.727729image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters17770
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 1777
100.0%
2024-11-23T06:57:14.916649image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 3554
20.0%
t 3554
20.0%
w 1777
10.0%
n 1777
10.0%
I 1777
10.0%
a 1777
10.0%
l 1777
10.0%
y 1777
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17770
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 3554
20.0%
t 3554
20.0%
w 1777
10.0%
n 1777
10.0%
I 1777
10.0%
a 1777
10.0%
l 1777
10.0%
y 1777
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17770
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 3554
20.0%
t 3554
20.0%
w 1777
10.0%
n 1777
10.0%
I 1777
10.0%
a 1777
10.0%
l 1777
10.0%
y 1777
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17770
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 3554
20.0%
t 3554
20.0%
w 1777
10.0%
n 1777
10.0%
I 1777
10.0%
a 1777
10.0%
l 1777
10.0%
y 1777
10.0%

userid
Real number (ℝ)

User id

Distinct87
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.1812043
Minimum1
Maximum263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.0 KiB
2024-11-23T06:57:15.041214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26
Q158
median118
Q3200
95-th percentile257
Maximum263
Range262
Interquartile range (IQR)142

Descriptive statistics

Standard deviation78.3752942
Coefficient of variation (CV)0.6020476968
Kurtosis-1.269044782
Mean130.1812043
Median Absolute Deviation (MAD)68
Skewness0.1917447615
Sum231332
Variance6142.686741
MonotonicityIncreasing
2024-11-23T06:57:15.166357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257 141
 
7.9%
225 76
 
4.3%
158 74
 
4.2%
41 64
 
3.6%
26 60
 
3.4%
176 59
 
3.3%
76 49
 
2.8%
58 48
 
2.7%
118 47
 
2.6%
50 44
 
2.5%
Other values (77) 1115
62.7%
ValueCountFrequency (%)
1 14
0.8%
6 2
 
0.1%
8 2
 
0.1%
9 32
1.8%
12 12
 
0.7%
ValueCountFrequency (%)
263 2
 
0.1%
262 4
 
0.2%
259 2
 
0.1%
257 141
7.9%
256 17
 
1.0%

timestamp
Date

UNIQUE 

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

Distinct1777
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size14.0 KiB
Minimum2020-11-16 07:13:39.525000
Maximum2020-12-11 16:56:22.885000
2024-11-23T06:57:15.289628image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-11-23T06:57:15.412392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

status
Boolean

The status of whether the mode is on or off

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
912 
True
865 
ValueCountFrequency (%)
False 912
51.3%
True 865
48.7%
2024-11-23T06:57:15.508625image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Correlations

2024-11-23T06:57:15.563382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
statususerid
status1.0000.006
userid0.0061.000