Overview

Dataset statistics

Number of variables6
Number of observations662
Missing cells0
Missing cells (%)0.0%
Total size in memory115.8 KiB
Average record size in memory179.2 B

Variable types

Text3
Numeric1
DateTime1
Boolean1

Dataset

Description[unitless] Returns information related to the WIFI network to which the phone is connected to, if connected will also report the WIFI network id. 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)
bssid(Basic Service Set Identifier) Special SSID used to define a wireless computer network configured to communicate directly with each other without an access point.
isconnectedReturn if the phone is connected to the WIFI
ssid(Service Set Identifier) ID or unique identifier of a digital network (Wi-Fi or WLAN)

Alerts

experimentid has constant value "wenetIndia"Constant
isconnected has constant value "True"Constant
timestamp has unique valuesUnique
userid has 361 (54.5%) zerosZeros

Reproduction

Analysis started2024-11-22 13:01:55.414558
Analysis finished2024-11-22 13:01:55.552688
Duration0.14 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 size11.8 KiB
2024-11-22T14:01:55.624614image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters6620
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 662
100.0%
2024-11-22T14:01:55.884880image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1324
20.0%
n 1324
20.0%
w 662
10.0%
t 662
10.0%
I 662
10.0%
d 662
10.0%
i 662
10.0%
a 662
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6620
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1324
20.0%
n 1324
20.0%
w 662
10.0%
t 662
10.0%
I 662
10.0%
d 662
10.0%
i 662
10.0%
a 662
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6620
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1324
20.0%
n 1324
20.0%
w 662
10.0%
t 662
10.0%
I 662
10.0%
d 662
10.0%
i 662
10.0%
a 662
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6620
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1324
20.0%
n 1324
20.0%
w 662
10.0%
t 662
10.0%
I 662
10.0%
d 662
10.0%
i 662
10.0%
a 662
10.0%

userid
Real number (ℝ)

ZEROS 

User id

Distinct17
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.38519637
Minimum0
Maximum62
Zeros361
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-11-22T14:01:55.988470image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312
95-th percentile44
Maximum62
Range62
Interquartile range (IQR)12

Descriptive statistics

Standard deviation15.5375089
Coefficient of variation (CV)1.496120857
Kurtosis0.8657400438
Mean10.38519637
Median Absolute Deviation (MAD)0
Skewness1.467390515
Sum6875
Variance241.4141829
MonotonicityIncreasing
2024-11-22T14:01:56.086041image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 361
54.5%
9 111
 
16.8%
44 51
 
7.7%
12 32
 
4.8%
28 31
 
4.7%
43 21
 
3.2%
26 16
 
2.4%
8 15
 
2.3%
40 7
 
1.1%
57 5
 
0.8%
Other values (7) 12
 
1.8%
ValueCountFrequency (%)
0 361
54.5%
4 1
 
0.2%
8 15
 
2.3%
9 111
 
16.8%
12 32
 
4.8%
ValueCountFrequency (%)
62 3
 
0.5%
57 5
 
0.8%
44 51
7.7%
43 21
3.2%
40 7
 
1.1%

timestamp
Date

UNIQUE 

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

Distinct662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2021-07-12 08:51:11.043000
Maximum2021-08-12 14:37:48.042000
2024-11-22T14:01:56.202165image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2024-11-22T14:01:56.331116image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

bssid
Text

(Basic Service Set Identifier) Special SSID used to define a wireless computer network configured to communicate directly with each other without an access point.

Distinct33
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
2024-11-22T14:01:56.482570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length64
Median length64
Mean length64
Min length64

Characters and Unicode

Total characters42368
Distinct characters16
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

Unique10 ?
Unique (%)1.5%

Sample

1st row1f45323c17ba65b42bf4c48c14c2ea4ffe2bc4e0081f9eaf81481c0fb483b8e2
2nd rowc27ef7b451fa292550e0d67f2f4a150c06039a89360e0216518035f85c1ce391
3rd row1f45323c17ba65b42bf4c48c14c2ea4ffe2bc4e0081f9eaf81481c0fb483b8e2
4th rowc27ef7b451fa292550e0d67f2f4a150c06039a89360e0216518035f85c1ce391
5th row1f45323c17ba65b42bf4c48c14c2ea4ffe2bc4e0081f9eaf81481c0fb483b8e2
ValueCountFrequency (%)
1f45323c17ba65b42bf4c48c14c2ea4ffe2bc4e0081f9eaf81481c0fb483b8e2 182
27.5%
c27ef7b451fa292550e0d67f2f4a150c06039a89360e0216518035f85c1ce391 179
27.0%
65a6b9f991c535f62ed351146cd42c00513520d4752ab2bd0827a5b09ed76aff 53
 
8.0%
10cb68d4bba94cf2a450f04cebdd3fd1472119b4c2e23cffcfde3c2342df7a05 53
 
8.0%
4c1280756126a106abbb7bcc7ef0f539af8da10b6e51e25d982af31eed300022 39
 
5.9%
29ae08a4058a54e03fb306fd4e756209299fb883a7e53a92d259785928227a78 32
 
4.8%
2a72f9e6961b786b0a9797003a4ce2ea88d6a7f57b30f5b298b6b4e85a5dcc27 22
 
3.3%
76e4ae80f87335e9cd135cd82f021d2a88ed8b26f62f9f120a88d242f83cd68b 10
 
1.5%
f1ef8a74c5c05c87227b4297699d4261f60f2ad941bf5ffb5ae2b90cab81ec5b 9
 
1.4%
e532858d102b23a3ad31be58ed226d70028a3aad62a4cb90527f2c5cb6308fda 9
 
1.4%
Other values (23) 74
11.2%
2024-11-22T14:01:56.714556image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3603
 
8.5%
f 3511
 
8.3%
0 3370
 
8.0%
1 3199
 
7.6%
4 3092
 
7.3%
5 2936
 
6.9%
c 2876
 
6.8%
e 2653
 
6.3%
b 2632
 
6.2%
8 2621
 
6.2%
Other values (6) 11875
28.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 42368
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 3603
 
8.5%
f 3511
 
8.3%
0 3370
 
8.0%
1 3199
 
7.6%
4 3092
 
7.3%
5 2936
 
6.9%
c 2876
 
6.8%
e 2653
 
6.3%
b 2632
 
6.2%
8 2621
 
6.2%
Other values (6) 11875
28.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 42368
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 3603
 
8.5%
f 3511
 
8.3%
0 3370
 
8.0%
1 3199
 
7.6%
4 3092
 
7.3%
5 2936
 
6.9%
c 2876
 
6.8%
e 2653
 
6.3%
b 2632
 
6.2%
8 2621
 
6.2%
Other values (6) 11875
28.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 42368
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 3603
 
8.5%
f 3511
 
8.3%
0 3370
 
8.0%
1 3199
 
7.6%
4 3092
 
7.3%
5 2936
 
6.9%
c 2876
 
6.8%
e 2653
 
6.3%
b 2632
 
6.2%
8 2621
 
6.2%
Other values (6) 11875
28.0%

isconnected
Boolean

CONSTANT 

Return if the phone is connected to the WIFI

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size794.0 B
True
662 
ValueCountFrequency (%)
True 662
100.0%
2024-11-22T14:01:56.810214image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

ssid
Text

(Service Set Identifier) ID or unique identifier of a digital network (Wi-Fi or WLAN)

Distinct26
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size46.7 KiB
2024-11-22T14:01:56.899291image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Length

Max length64
Median length64
Mean length64
Min length64

Characters and Unicode

Total characters42368
Distinct characters16
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

Unique9 ?
Unique (%)1.4%

Sample

1st row164afbd47b4ea81d68ace19b8ee13c4af50fc6230ff7a891c1e816f3e9406bdb
2nd row164afbd47b4ea81d68ace19b8ee13c4af50fc6230ff7a891c1e816f3e9406bdb
3rd row164afbd47b4ea81d68ace19b8ee13c4af50fc6230ff7a891c1e816f3e9406bdb
4th row164afbd47b4ea81d68ace19b8ee13c4af50fc6230ff7a891c1e816f3e9406bdb
5th row164afbd47b4ea81d68ace19b8ee13c4af50fc6230ff7a891c1e816f3e9406bdb
ValueCountFrequency (%)
164afbd47b4ea81d68ace19b8ee13c4af50fc6230ff7a891c1e816f3e9406bdb 361
54.5%
81e549d8f95b7f3d6ba07b1c290aeb9ea71b7c9f46ac911fae56683954820edc 106
 
16.0%
3cf5236935da1c1321f6f2f751d3e4847115ffb4d4fac7c1830d99f2c95a2da4 61
 
9.2%
558b4f25b1a579df249e1471f2668a97358964e458e8e53843d8121be4055fc6 32
 
4.8%
75301ab1bc9a168e8215523820400549c1381c5954d0619d6df503a67d9b2858 31
 
4.7%
ecca6f9bd2c236662f84e51c99aed14d820da3023eca6fe7e2575a018bf139d4 10
 
1.5%
d5bcbe7c90953a93f38d4dfe21e2032bdcb9f17c33779f0557dafa0c75afbfa1 9
 
1.4%
080cae70e378f668b760bcb8a78d2265c869beb121d1ce1291bf9cf748a6dd32 8
 
1.2%
ee65b5aa86fbd66f7eaa65287fa5a9cebe30d8855c677d54875ec04a64bd8512 7
 
1.1%
d383d8f5608065477573b5852bcfc5a2992d5ce61144fcf9df85935cbcd43f96 5
 
0.8%
Other values (16) 32
 
4.8%
2024-11-22T14:01:57.109206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 4115
 
9.7%
f 3548
 
8.4%
e 3247
 
7.7%
8 3062
 
7.2%
a 3049
 
7.2%
4 2969
 
7.0%
6 2914
 
6.9%
b 2869
 
6.8%
c 2638
 
6.2%
9 2605
 
6.1%
Other values (6) 11352
26.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 42368
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 4115
 
9.7%
f 3548
 
8.4%
e 3247
 
7.7%
8 3062
 
7.2%
a 3049
 
7.2%
4 2969
 
7.0%
6 2914
 
6.9%
b 2869
 
6.8%
c 2638
 
6.2%
9 2605
 
6.1%
Other values (6) 11352
26.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 42368
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 4115
 
9.7%
f 3548
 
8.4%
e 3247
 
7.7%
8 3062
 
7.2%
a 3049
 
7.2%
4 2969
 
7.0%
6 2914
 
6.9%
b 2869
 
6.8%
c 2638
 
6.2%
9 2605
 
6.1%
Other values (6) 11352
26.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 42368
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 4115
 
9.7%
f 3548
 
8.4%
e 3247
 
7.7%
8 3062
 
7.2%
a 3049
 
7.2%
4 2969
 
7.0%
6 2914
 
6.9%
b 2869
 
6.8%
c 2638
 
6.2%
9 2605
 
6.1%
Other values (6) 11352
26.8%