Overview

Dataset statistics

Number of variables5
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows5
Duplicate rows (%)2.5%
Total size in memory8.7 KiB
Average record size in memory44.7 B

Variable types

Categorical3
Numeric2

Alerts

20210101 has constant value ""Constant
FRI has constant value ""Constant
064 has constant value ""Constant
Dataset has 5 (2.5%) duplicate rowsDuplicates
000709 is highly overall correlated with 7532High correlation
7532 is highly overall correlated with 000709High correlation

Reproduction

Analysis started2023-12-10 06:39:48.085072
Analysis finished2023-12-10 06:39:49.429699
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

20210101
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
20210101
199 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210101
2nd row20210101
3rd row20210101
4th row20210101
5th row20210101

Common Values

ValueCountFrequency (%)
20210101 199
100.0%

Length

2023-12-10T15:39:49.559170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:49.735535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210101 199
100.0%

000709
Real number (ℝ)

HIGH CORRELATION 

Distinct194
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72890.538
Minimum5033
Maximum103956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:39:49.957888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5033
5-th percentile13639.6
Q130322
median92428
Q3103005.5
95-th percentile103712.4
Maximum103956
Range98923
Interquartile range (IQR)72683.5

Descriptive statistics

Standard deviation36614.688
Coefficient of variation (CV)0.50232429
Kurtosis-1.4037021
Mean72890.538
Median Absolute Deviation (MAD)10998
Skewness-0.65669669
Sum14505217
Variance1.3406353 × 109
MonotonicityIncreasing
2023-12-10T15:39:50.198457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102553 2
 
1.0%
23548 2
 
1.0%
103510 2
 
1.0%
103615 2
 
1.0%
103426 2
 
1.0%
102923 1
 
0.5%
102913 1
 
0.5%
102616 1
 
0.5%
102931 1
 
0.5%
102648 1
 
0.5%
Other values (184) 184
92.5%
ValueCountFrequency (%)
5033 1
0.5%
12833 1
0.5%
12912 1
0.5%
12956 1
0.5%
13035 1
0.5%
13057 1
0.5%
13141 1
0.5%
13345 1
0.5%
13543 1
0.5%
13600 1
0.5%
ValueCountFrequency (%)
103956 1
0.5%
103947 1
0.5%
103912 1
0.5%
103907 1
0.5%
103831 1
0.5%
103829 1
0.5%
103757 1
0.5%
103753 1
0.5%
103745 1
0.5%
103743 1
0.5%

FRI
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
FRI 199
100.0%

Length

2023-12-10T15:39:50.384377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:50.531726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
fri 199
100.0%

064
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
64
199 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row64
2nd row64
3rd row64
4th row64
5th row64

Common Values

ValueCountFrequency (%)
64 199
100.0%

Length

2023-12-10T15:39:50.682388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:39:50.841394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
64 199
100.0%

7532
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2784.1809
Minimum2025
Maximum9300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:39:50.971613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2025
5-th percentile2025
Q12025
median2025
Q33672
95-th percentile3672
Maximum9300
Range7275
Interquartile range (IQR)1647

Descriptive statistics

Standard deviation1255.1493
Coefficient of variation (CV)0.45081457
Kurtosis10.68841
Mean2784.1809
Median Absolute Deviation (MAD)0
Skewness2.7631895
Sum554052
Variance1575399.8
MonotonicityNot monotonic
2023-12-10T15:39:51.209529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2025 124
62.3%
3672 67
33.7%
9300 3
 
1.5%
7706 1
 
0.5%
6588 1
 
0.5%
6600 1
 
0.5%
5434 1
 
0.5%
2700 1
 
0.5%
ValueCountFrequency (%)
2025 124
62.3%
2700 1
 
0.5%
3672 67
33.7%
5434 1
 
0.5%
6588 1
 
0.5%
6600 1
 
0.5%
7706 1
 
0.5%
9300 3
 
1.5%
ValueCountFrequency (%)
9300 3
 
1.5%
7706 1
 
0.5%
6600 1
 
0.5%
6588 1
 
0.5%
5434 1
 
0.5%
3672 67
33.7%
2700 1
 
0.5%
2025 124
62.3%

Interactions

2023-12-10T15:39:48.497911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:48.219666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:48.988789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:39:48.356179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:39:51.347934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
0007097532
0007091.0000.781
75320.7811.000
2023-12-10T15:39:51.496400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
0007097532
0007091.000-0.785
7532-0.7851.000

Missing values

2023-12-10T15:39:49.183735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:39:49.334208image/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

20210101000709FRI0647532
0202101015033FRI643672
12021010112833FRI643672
22021010112912FRI643672
32021010112956FRI643672
42021010113035FRI643672
52021010113057FRI643672
62021010113141FRI643672
72021010113345FRI643672
82021010113543FRI643672
92021010113600FRI643672
20210101000709FRI0647532
18920210101103743FRI642025
19020210101103745FRI642025
19120210101103753FRI642025
19220210101103757FRI642025
19320210101103829FRI642025
19420210101103831FRI642025
19520210101103907FRI642025
19620210101103912FRI642025
19720210101103947FRI642025
19820210101103956FRI642025

Duplicate rows

Most frequently occurring

20210101000709FRI0647532# duplicates
02021010123548FRI6436722
120210101102553FRI6420252
220210101103426FRI6420252
320210101103510FRI6420252
420210101103615FRI6420252