Overview

Dataset statistics

Number of variables5
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory44.7 B

Variable types

Categorical3
Numeric2

Alerts

DATE has constant value ""Constant
DAYWEEK has constant value ""Constant
TELOFCNO has constant value ""Constant

Reproduction

Analysis started2023-12-10 06:17:44.207822
Analysis finished2023-12-10 06:17:45.275057
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

DATE
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
20200101
199 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200101
2nd row20200101
3rd row20200101
4th row20200101
5th row20200101

Common Values

ValueCountFrequency (%)
20200101 199
100.0%

Length

2023-12-10T15:17:45.384910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:17:45.544096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200101 199
100.0%

HMS
Real number (ℝ)

Distinct97
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1132.4171
Minimum46
Maximum1721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:17:45.761829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile301
Q1847
median1230
Q31440
95-th percentile1618
Maximum1721
Range1675
Interquartile range (IQR)593

Descriptive statistics

Standard deviation424.93869
Coefficient of variation (CV)0.37524928
Kurtosis-0.16820085
Mean1132.4171
Median Absolute Deviation (MAD)214
Skewness-0.95604685
Sum225351
Variance180572.89
MonotonicityIncreasing
2023-12-10T15:17:46.057533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1435 8
 
4.0%
1452 6
 
3.0%
1432 5
 
2.5%
1242 5
 
2.5%
1114 5
 
2.5%
847 5
 
2.5%
1226 4
 
2.0%
321 4
 
2.0%
1618 4
 
2.0%
1440 4
 
2.0%
Other values (87) 149
74.9%
ValueCountFrequency (%)
46 1
 
0.5%
114 1
 
0.5%
153 1
 
0.5%
208 2
1.0%
254 2
1.0%
301 4
2.0%
308 1
 
0.5%
314 3
1.5%
317 2
1.0%
320 2
1.0%
ValueCountFrequency (%)
1721 1
 
0.5%
1709 2
1.0%
1706 2
1.0%
1635 1
 
0.5%
1633 1
 
0.5%
1630 1
 
0.5%
1618 4
2.0%
1617 1
 
0.5%
1609 2
1.0%
1604 1
 
0.5%

DAYWEEK
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
WED
199 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWED
2nd rowWED
3rd rowWED
4th rowWED
5th rowWED

Common Values

ValueCountFrequency (%)
WED 199
100.0%

Length

2023-12-10T15:17:46.303153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:17:46.491206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
wed 199
100.0%

TELOFCNO
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
199 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 199
100.0%

Length

2023-12-10T15:17:46.676080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:17:46.849497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 199
100.0%

TELNO_RP_VALUE
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4603.1809
Minimum694
Maximum9731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:17:47.042613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum694
5-th percentile1205.9
Q12302
median4861
Q37209
95-th percentile7936
Maximum9731
Range9037
Interquartile range (IQR)4907

Descriptive statistics

Standard deviation2406.1023
Coefficient of variation (CV)0.52270428
Kurtosis-1.2622637
Mean4603.1809
Median Absolute Deviation (MAD)2559
Skewness0.1100531
Sum916033
Variance5789328.5
MonotonicityNot monotonic
2023-12-10T15:17:47.237584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7454 26
 
13.1%
4861 22
 
11.1%
2302 10
 
5.0%
1669 9
 
4.5%
2119 9
 
4.5%
2829 9
 
4.5%
4382 8
 
4.0%
5752 8
 
4.0%
3330 8
 
4.0%
2122 8
 
4.0%
Other values (22) 82
41.2%
ValueCountFrequency (%)
694 1
 
0.5%
713 2
 
1.0%
908 7
3.5%
1239 7
3.5%
1320 1
 
0.5%
1368 1
 
0.5%
1414 1
 
0.5%
1669 9
4.5%
2119 9
4.5%
2122 8
4.0%
ValueCountFrequency (%)
9731 3
 
1.5%
8557 1
 
0.5%
7936 7
 
3.5%
7934 7
 
3.5%
7454 26
13.1%
7302 1
 
0.5%
7209 7
 
3.5%
7208 7
 
3.5%
6587 2
 
1.0%
5909 8
 
4.0%

Interactions

2023-12-10T15:17:44.686286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:44.379203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:44.843832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:17:44.536733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:17:47.372276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
HMSTELNO_RP_VALUE
HMS1.0000.000
TELNO_RP_VALUE0.0001.000
2023-12-10T15:17:47.515991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
HMSTELNO_RP_VALUE
HMS1.000-0.014
TELNO_RP_VALUE-0.0141.000

Missing values

2023-12-10T15:17:45.018440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:17:45.203477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

DATEHMSDAYWEEKTELOFCNOTELNO_RP_VALUE
02020010146WED24918
120200101114WED24002
220200101153WED28557
320200101208WED24861
420200101208WED27454
520200101254WED24861
620200101254WED27454
720200101301WED21239
820200101301WED23330
920200101301WED23612
DATEHMSDAYWEEKTELOFCNOTELNO_RP_VALUE
189202001011618WED22122
190202001011618WED27936
191202001011630WED25752
192202001011633WED27454
193202001011635WED23648
194202001011706WED24861
195202001011706WED27454
196202001011709WED24861
197202001011709WED27454
198202001011721WED22302