Overview

Dataset statistics

Number of variables3
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.5 KiB
Average record size in memory26.1 B

Variable types

Numeric2
Boolean1

Dataset

Description한국주택금융공사 채권관리부 업무 관련 공개 공공데이터 (해당 부서의 업무와 관련된 데이터베이스에서 공개 가능한 원천 데이터) 접수품의번호,소송관련회차,처리완료여부 칼럼과 관련 데이터가 포함되어있습니다.
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15072916/fileData.do

Alerts

처리완료여부 has constant value ""Constant

Reproduction

Analysis started2023-12-12 23:23:34.651823
Analysis finished2023-12-12 23:23:35.323841
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수품의번호
Real number (ℝ)

Distinct246
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0150367 × 1010
Minimum2.010131 × 1010
Maximum2.0201304 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T08:23:35.414951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.010131 × 1010
5-th percentile2.0111317 × 1010
Q12.0121316 × 1010
median2.0156305 × 1010
Q32.0171303 × 1010
95-th percentile2.0181305 × 1010
Maximum2.0201304 × 1010
Range99994076
Interquartile range (IQR)49986852

Descriptive statistics

Standard deviation24564285
Coefficient of variation (CV)0.001219049
Kurtosis-1.2643556
Mean2.0150367 × 1010
Median Absolute Deviation (MAD)24996343
Skewness-0.15219844
Sum2.0150367 × 1013
Variance6.0340412 × 1014
MonotonicityNot monotonic
2023-12-13T08:23:35.602626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20121311099 21
 
2.1%
20121315758 20
 
2.0%
20111317124 17
 
1.7%
20121301081 15
 
1.5%
20191305210 13
 
1.3%
20181305468 13
 
1.3%
20171308133 12
 
1.2%
20121307052 12
 
1.2%
20181300719 11
 
1.1%
20181302609 10
 
1.0%
Other values (236) 856
85.6%
ValueCountFrequency (%)
20101309860 5
0.5%
20111300600 2
 
0.2%
20111300737 2
 
0.2%
20111301711 1
 
0.1%
20111304767 3
0.3%
20111309221 2
 
0.2%
20111310764 3
0.3%
20111311785 4
0.4%
20111312499 1
 
0.1%
20111313928 1
 
0.1%
ValueCountFrequency (%)
20201303936 1
 
0.1%
20201303634 1
 
0.1%
20201303338 1
 
0.1%
20201303245 1
 
0.1%
20201301030 1
 
0.1%
20201300085 1
 
0.1%
20191307649 4
0.4%
20191307581 1
 
0.1%
20191306172 4
0.4%
20191306129 1
 
0.1%

소송관련회차
Real number (ℝ)

Distinct22
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.752
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T08:23:35.775001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile10
Maximum26
Range25
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.2185175
Coefficient of variation (CV)0.85781383
Kurtosis7.5262996
Mean3.752
Median Absolute Deviation (MAD)2
Skewness2.3403147
Sum3752
Variance10.358855
MonotonicityNot monotonic
2023-12-13T08:23:35.903432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 237
23.7%
2 191
19.1%
3 171
17.1%
4 129
12.9%
5 90
 
9.0%
6 53
 
5.3%
7 37
 
3.7%
8 19
 
1.9%
9 13
 
1.3%
10 12
 
1.2%
Other values (12) 48
 
4.8%
ValueCountFrequency (%)
1 237
23.7%
2 191
19.1%
3 171
17.1%
4 129
12.9%
5 90
 
9.0%
6 53
 
5.3%
7 37
 
3.7%
8 19
 
1.9%
9 13
 
1.3%
10 12
 
1.2%
ValueCountFrequency (%)
26 1
 
0.1%
21 1
 
0.1%
20 2
 
0.2%
19 2
 
0.2%
18 2
 
0.2%
17 3
0.3%
16 4
0.4%
15 4
0.4%
14 4
0.4%
13 6
0.6%

처리완료여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
True
1000 
ValueCountFrequency (%)
True 1000
100.0%
2023-12-13T08:23:36.005162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-13T08:23:34.994898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:34.736012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:35.103693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:23:34.893412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:23:36.064003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수품의번호소송관련회차
접수품의번호1.0000.311
소송관련회차0.3111.000
2023-12-13T08:23:36.139454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수품의번호소송관련회차
접수품의번호1.000-0.127
소송관련회차-0.1271.000

Missing values

2023-12-13T08:23:35.213353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:23:35.289016image/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

접수품의번호소송관련회차처리완료여부
0202013039361Y
1202013036341Y
2201913076494Y
3201913076493Y
4201913076492Y
52019130521013Y
62019130521012Y
72019130521011Y
82019130521010Y
9201913052109Y
접수품의번호소송관련회차처리완료여부
990201113107643Y
991201113047677Y
992201113107642Y
993201113092212Y
994201113047673Y
995201113006007Y
996201113006003Y
997201113007376Y
998201113007372Y
9992011131435926Y