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 is highly imbalanced (63.3%)Imbalance

Reproduction

Analysis started2023-12-10 06:13:36.676477
Analysis finished2023-12-10 06:13:38.120754
Duration1.44 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

2023-12-10T15:13:38.220571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:38.381415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200101 199
100.0%

HMS
Real number (ℝ)

Distinct115
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2152.5226
Minimum208
Maximum3533
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:38.540959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208
5-th percentile551.7
Q11436
median2215
Q32835.5
95-th percentile3426
Maximum3533
Range3325
Interquartile range (IQR)1399.5

Descriptive statistics

Standard deviation894.63633
Coefficient of variation (CV)0.41562227
Kurtosis-0.98159281
Mean2152.5226
Median Absolute Deviation (MAD)771
Skewness-0.3005841
Sum428352
Variance800374.16
MonotonicityIncreasing
2023-12-10T15:13:38.746837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1444 6
 
3.0%
1800 5
 
2.5%
2309 4
 
2.0%
2829 4
 
2.0%
1904 4
 
2.0%
2809 4
 
2.0%
2001 4
 
2.0%
1108 4
 
2.0%
2048 4
 
2.0%
1953 4
 
2.0%
Other values (105) 156
78.4%
ValueCountFrequency (%)
208 1
 
0.5%
254 1
 
0.5%
317 4
2.0%
318 1
 
0.5%
333 2
1.0%
522 1
 
0.5%
555 1
 
0.5%
657 1
 
0.5%
704 1
 
0.5%
748 1
 
0.5%
ValueCountFrequency (%)
3533 1
 
0.5%
3450 2
1.0%
3444 1
 
0.5%
3442 2
1.0%
3431 2
1.0%
3426 4
2.0%
3423 1
 
0.5%
3413 1
 
0.5%
3407 2
1.0%
3305 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

2023-12-10T15:13:38.953180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:39.082643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
wed 199
100.0%

TELOFCNO
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
31
185 
32
 
14

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row31
3rd row31
4th row31
5th row31

Common Values

ValueCountFrequency (%)
31 185
93.0%
32 14
 
7.0%

Length

2023-12-10T15:13:39.216229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:39.356027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 185
93.0%
32 14
 
7.0%

TELNO_RP_VALUE
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6275.2161
Minimum809
Maximum9782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:13:39.489086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum809
5-th percentile2001
Q13856
median7229
Q39614
95-th percentile9685
Maximum9782
Range8973
Interquartile range (IQR)5758

Descriptive statistics

Standard deviation2924.1542
Coefficient of variation (CV)0.46598462
Kurtosis-1.4186215
Mean6275.2161
Median Absolute Deviation (MAD)2403
Skewness-0.13067315
Sum1248768
Variance8550677.7
MonotonicityNot monotonic
2023-12-10T15:13:39.632715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9620 31
15.6%
9614 21
10.6%
3650 19
9.5%
2001 18
9.0%
5279 16
8.0%
3856 14
 
7.0%
4745 13
 
6.5%
9685 13
 
6.5%
3934 9
 
4.5%
7287 8
 
4.0%
Other values (13) 37
18.6%
ValueCountFrequency (%)
809 4
 
2.0%
1155 3
 
1.5%
2001 18
9.0%
2245 1
 
0.5%
2345 1
 
0.5%
3650 19
9.5%
3820 1
 
0.5%
3856 14
7.0%
3934 9
4.5%
4745 13
6.5%
ValueCountFrequency (%)
9782 1
 
0.5%
9685 13
6.5%
9632 4
 
2.0%
9620 31
15.6%
9614 21
10.6%
7298 7
 
3.5%
7296 7
 
3.5%
7294 1
 
0.5%
7292 1
 
0.5%
7287 8
 
4.0%

Interactions

2023-12-10T15:13:37.520167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:36.838504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:37.711365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:13:37.324159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:13:39.721079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
HMSTELOFCNOTELNO_RP_VALUE
HMS1.0000.2380.354
TELOFCNO0.2381.0000.722
TELNO_RP_VALUE0.3540.7221.000
2023-12-10T15:13:39.833041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
HMSTELNO_RP_VALUETELOFCNO
HMS1.000-0.3950.180
TELNO_RP_VALUE-0.3951.0000.385
TELOFCNO0.1800.3851.000

Missing values

2023-12-10T15:13:37.897665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:13:38.067038image/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
020200101208WED319620
120200101254WED319620
220200101317WED319614
320200101317WED313856
420200101317WED314745
520200101317WED315279
620200101318WED319685
720200101333WED31809
820200101333WED317229
920200101522WED317229
DATEHMSDAYWEEKTELOFCNOTELNO_RP_VALUE
189202001013426WED315279
190202001013426WED319632
191202001013431WED317287
192202001013431WED317296
193202001013442WED313650
194202001013442WED312001
195202001013444WED321155
196202001013450WED313650
197202001013450WED312001
198202001013533WED313650