Overview

Dataset statistics

Number of variables3
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows746
Duplicate rows (%)7.5%
Total size in memory341.8 KiB
Average record size in memory35.0 B

Variable types

Categorical2
Numeric1

Dataset

Description공무원연금공단의 종합재해보상 데이터 중 표준 기안문 화면구성 상세에 관한 데이터로서 기안문 시스템 코드 등의 데이터를 포함합니다.
Author공무원연금공단
URLhttps://www.data.go.kr/data/15123842/fileData.do

Alerts

기안문순번 has constant value ""Constant
기안문시스템코드 has constant value ""Constant
Dataset has 746 (7.5%) duplicate rowsDuplicates
기안문접수번호 is highly skewed (γ1 = -30.07784078)Skewed

Reproduction

Analysis started2023-12-12 10:02:31.245889
Analysis finished2023-12-12 10:02:31.669499
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기안문순번
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-12T19:02:31.760527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:02:31.897468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

기안문접수번호
Real number (ℝ)

SKEWED 

Distinct747
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0046344 × 108
Minimum1.5010017 × 108
Maximum2.0060079 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T19:02:32.052403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.5010017 × 108
5-th percentile2.0050003 × 108
Q12.0050018 × 108
median2.0050036 × 108
Q32.0050055 × 108
95-th percentile2.006006 × 108
Maximum2.0060079 × 108
Range50500615
Interquartile range (IQR)370

Descriptive statistics

Standard deviation1671881.3
Coefficient of variation (CV)0.008340081
Kurtosis903.42112
Mean2.0046344 × 108
Median Absolute Deviation (MAD)185
Skewness-30.077841
Sum2.0046344 × 1012
Variance2.7951871 × 1012
MonotonicityNot monotonic
2023-12-12T19:02:32.258047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200500465 21
 
0.2%
200500541 19
 
0.2%
200600503 19
 
0.2%
200500055 19
 
0.2%
200500250 19
 
0.2%
200500346 19
 
0.2%
200500174 19
 
0.2%
200500252 19
 
0.2%
200500435 19
 
0.2%
200500195 19
 
0.2%
Other values (737) 9808
98.1%
ValueCountFrequency (%)
150100173 11
0.1%
200300001 11
0.1%
200300002 16
0.2%
200400001 15
0.1%
200400002 13
0.1%
200500001 16
0.2%
200500002 13
0.1%
200500003 16
0.2%
200500004 13
0.1%
200500005 15
0.1%
ValueCountFrequency (%)
200600788 10
0.1%
200600787 12
0.1%
200600786 13
0.1%
200600785 11
0.1%
200600784 15
0.1%
200600783 11
0.1%
200600782 15
0.1%
200600781 16
0.2%
200600780 13
0.1%
200600779 9
0.1%

기안문시스템코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-12T19:02:32.462362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:02:32.582540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

Interactions

2023-12-12T19:02:31.329678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T19:02:31.493280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:02:31.621704image/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

기안문순번기안문접수번호기안문시스템코드
1838312006000771
884712005003181
1771112006000521
777812005002721
1540712005005561
284612005001341
1701112006000321
779712005002731
705912005002521
577812005001981
기안문순번기안문접수번호기안문시스템코드
376412005001241
31912005000141
1520112005005491
216412005000711
1731712006000881
1621612006000031
240612005000801
995912005003541
1675512006000231
103812005000221

Duplicate rows

Most frequently occurring

기안문순번기안문접수번호기안문시스템코드# duplicates
4691200500465121
591200500055119
1631200500159119
1781200500174119
1991200500195119
2171200500213119
2541200500250119
2561200500252119
3501200500346119
4391200500435119