Overview

Brought to you by YData

Dataset statistics

Number of variables6
Number of observations161672889
Missing cells0
Missing cells (%)0.0%
Total size in memory10.0 GiB
Average record size in memory66.1 B

Variable types

Text1
Numeric4
DateTime1

Dataset

Description[μT] Geomagnetic field strength along the x,y,z axis. 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. NOTE: The dataset was sampled to fit into available memory. Results may not reflect the entire dataset.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

experimentidExperiment Id
useridUser id
timestampshow month(2), day(2), hour(2), minute(2), second(2), decimals(3)
x x axis at the time of capture
y y axis at the time of capture
z z axis at the time of capture

Alerts

experimentid has constant value "wenetItaly" Constant
x is highly skewed (γ1 = 144.2135833) Skewed
y is highly skewed (γ1 = 175.6555614) Skewed
z is highly skewed (γ1 = 103.5321812) Skewed

Reproduction

Analysis started2025-04-10 14:44:16.021377
Analysis finished2025-04-10 15:11:14.050071
Duration26 minutes and 58.03 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

experimentid
Text

Constant 

Experiment Id

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.9 GiB
2025-04-10T17:11:14.542940image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1616728890
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 161672889
100.0%
2025-04-10T17:11:15.120051image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 323345778
20.0%
t 323345778
20.0%
w 161672889
10.0%
n 161672889
10.0%
I 161672889
10.0%
a 161672889
10.0%
l 161672889
10.0%
y 161672889
10.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1616728890
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 323345778
20.0%
t 323345778
20.0%
w 161672889
10.0%
n 161672889
10.0%
I 161672889
10.0%
a 161672889
10.0%
l 161672889
10.0%
y 161672889
10.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1616728890
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 323345778
20.0%
t 323345778
20.0%
w 161672889
10.0%
n 161672889
10.0%
I 161672889
10.0%
a 161672889
10.0%
l 161672889
10.0%
y 161672889
10.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1616728890
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 323345778
20.0%
t 323345778
20.0%
w 161672889
10.0%
n 161672889
10.0%
I 161672889
10.0%
a 161672889
10.0%
l 161672889
10.0%
y 161672889
10.0%

userid
Real number (ℝ)

User id

Distinct207
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.9681883
Minimum0
Maximum265
Zeros30470
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size2.4 GiB
2025-04-10T17:11:15.428318image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q166
median165
Q3216
95-th percentile254
Maximum265
Range265
Interquartile range (IQR)150

Descriptive statistics

Standard deviation83.39432799
Coefficient of variation (CV)0.5752595033
Kurtosis-1.392173155
Mean144.9681883
Median Absolute Deviation (MAD)74
Skewness-0.2399667974
Sum2.343742581 × 1010
Variance6954.613941
MonotonicityNot monotonic
2025-04-10T17:11:15.794605image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
239 9863000
 
6.1%
89 7519944
 
4.7%
215 7471968
 
4.6%
206 5873553
 
3.6%
254 5832995
 
3.6%
165 4975488
 
3.1%
12 4807107
 
3.0%
44 4346712
 
2.7%
61 4268781
 
2.6%
204 4144763
 
2.6%
Other values (197) 102568578
63.4%
ValueCountFrequency (%)
0 30470
 
< 0.1%
1 1033933
0.6%
2 1029311
0.6%
3 53024
 
< 0.1%
4 1526742
0.9%
ValueCountFrequency (%)
265 330931
0.2%
264 4549
 
< 0.1%
263 713649
0.4%
262 644807
0.4%
260 32591
 
< 0.1%

timestamp
Date

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

Distinct155748284
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size2.4 GiB
Minimum2020-11-16 07:00:00.009000
Maximum2020-12-11 22:00:00
2025-04-10T17:11:16.165372image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-04-10T17:11:16.514891image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

x
Real number (ℝ)

Skewed 

x axis at the time of capture

Distinct145941
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04525811473
Minimum-6017.75
Maximum32767
Zeros193943
Zeros (%)0.1%
Negative81619507
Negative (%)50.5%
Memory size2.4 GiB
2025-04-10T17:11:16.853862image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-6017.75
5-th percentile-38.56000137
Q1-15.75
median-0.3100000024
Q315.56000042
95-th percentile35.61999893
Maximum32767
Range38784.75
Interquartile range (IQR)31.31000042

Descriptive statistics

Standard deviation114.9533232
Coefficient of variation (CV)2539.949441
Kurtosis42556.82764
Mean0.04525811473
Median Absolute Deviation (MAD)15.66000026
Skewness144.2135833
Sum7317010.159
Variance13214.26652
MonotonicityNot monotonic
2025-04-10T17:11:17.236194image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13.5 195739
 
0.1%
0 193943
 
0.1%
3 186558
 
0.1%
-13.61999989 174054
 
0.1%
-13.25 173926
 
0.1%
-13.56000042 172028
 
0.1%
3.119999886 169125
 
0.1%
-12 166791
 
0.1%
-0.1800000072 163561
 
0.1%
16.37000084 163059
 
0.1%
Other values (145931) 159914105
98.9%
ValueCountFrequency (%)
-6017.75 34
< 0.1%
-6013.430176 1
 
< 0.1%
-6008.560059 1
 
< 0.1%
-6007.620117 1
 
< 0.1%
-6007.120117 1
 
< 0.1%
ValueCountFrequency (%)
32767 1035
< 0.1%
5226.970215 7
 
< 0.1%
4974 1
 
< 0.1%
4914.75 282
 
< 0.1%
4914.450195 1
 
< 0.1%

y
Real number (ℝ)

Skewed 

y axis at the time of capture

Distinct130914
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.163567398
Minimum-6592.5
Maximum32767
Zeros170564
Zeros (%)0.1%
Negative89416279
Negative (%)55.3%
Memory size2.4 GiB
2025-04-10T17:11:17.618591image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-6592.5
5-th percentile-44.61999893
Q1-20.12000084
median-3.619999886
Q314.75
95-th percentile36.31000137
Maximum32767
Range39359.5
Interquartile range (IQR)34.87000084

Descriptive statistics

Standard deviation108.5000601
Coefficient of variation (CV)-26.05939804
Kurtosis53479.92017
Mean-4.163567398
Median Absolute Deviation (MAD)17.43999958
Skewness175.6555614
Sum-673135969.7
Variance11772.26304
MonotonicityNot monotonic
2025-04-10T17:11:17.990884image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-10.61999989 173926
 
0.1%
-7.5 170962
 
0.1%
0 170564
 
0.1%
-7.559999943 167121
 
0.1%
-10.5 166409
 
0.1%
-7.679999828 163493
 
0.1%
-3 157611
 
0.1%
4.5 154938
 
0.1%
-10.56000042 151785
 
0.1%
-7.369999886 151204
 
0.1%
Other values (130904) 160044876
99.0%
ValueCountFrequency (%)
-6592.5 1
< 0.1%
-6410 1
< 0.1%
-6409.430176 1
< 0.1%
-6408.620117 1
< 0.1%
-6408.180176 1
< 0.1%
ValueCountFrequency (%)
32767 1035
< 0.1%
6012.810059 1
 
< 0.1%
5874.120117 1
 
< 0.1%
5845.680176 1
 
< 0.1%
5841.75 1
 
< 0.1%

z
Real number (ℝ)

Skewed 

z axis at the time of capture

Distinct149482
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-21.07781387
Minimum-5797.25
Maximum32767
Zeros87883
Zeros (%)0.1%
Negative129285667
Negative (%)80.0%
Memory size2.4 GiB
2025-04-10T17:11:18.358557image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum-5797.25
5-th percentile-60.18000031
Q1-40.31000137
median-30.17000008
Q3-7.809999943
95-th percentile40.56000137
Maximum32767
Range38564.25
Interquartile range (IQR)32.50000143

Descriptive statistics

Standard deviation129.067028
Coefficient of variation (CV)-6.123359319
Kurtosis26908.03754
Mean-21.07781387
Median Absolute Deviation (MAD)13.32999992
Skewness103.5321812
Sum-3407711063
Variance16658.29772
MonotonicityNot monotonic
2025-04-10T17:11:18.723426image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-36 258646
 
0.2%
-36.18000031 252124
 
0.2%
-34.5 250686
 
0.2%
-39 242364
 
0.1%
-36.11999893 240868
 
0.1%
-35.93000031 238995
 
0.1%
-34.25 235561
 
0.1%
-34.43000031 233109
 
0.1%
-34.61999893 230074
 
0.1%
-34.68000031 222906
 
0.1%
Other values (149472) 159267556
98.5%
ValueCountFrequency (%)
-5797.25 2
 
< 0.1%
-5757.180176 217
< 0.1%
-5755.75 1
 
< 0.1%
-5752.370117 1
 
< 0.1%
-5688.75 1
 
< 0.1%
ValueCountFrequency (%)
32767 1035
< 0.1%
5780.370117 1
 
< 0.1%
5778.859863 1
 
< 0.1%
5777.77002 1
 
< 0.1%
5777.700195 1
 
< 0.1%