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)
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15072924/fileData.do

Alerts

취소여부 has constant value ""Constant

Reproduction

Analysis started2023-12-12 09:30:39.959692
Analysis finished2023-12-12 09:30:40.494857
Duration0.54 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
2023-12-12T18:30:40.561496image/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
2023-12-12T18:30:40.689322image/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%

소송사건순번
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
2023-12-12T18:30:40.824106image/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
2023-12-12T18:30:40.933718image/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%

취소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
False
1000 
ValueCountFrequency (%)
False 1000
100.0%
2023-12-12T18:30:41.033665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T18:30:40.223710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:40.041354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:40.310154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:40.130912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:30:41.088578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수품의번호소송사건순번
접수품의번호1.0000.311
소송사건순번0.3111.000
2023-12-12T18:30:41.507197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수품의번호소송사건순번
접수품의번호1.000-0.127
소송사건순번-0.1271.000

Missing values

2023-12-12T18:30:40.408269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:30:40.469421image/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

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