Overview

Dataset statistics

Number of variables3
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory26.9 B

Variable types

Categorical2
Numeric1

Dataset

Description한국자산관리공사 공사채권 위임사 관리 현황 데이터
Author한국자산관리공사
URLhttps://www.data.go.kr/data/15069555/fileData.do

Alerts

채무자수 is highly overall correlated with 위임사명High correlation
위임사명 is highly overall correlated with 채무자수High correlation

Reproduction

Analysis started2023-12-12 15:35:05.218889
Analysis finished2023-12-12 15:35:05.545119
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준월
Categorical

Distinct5
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size692.0 B
2016-08
14 
2016-09
14 
2016-10
14 
2016-11
14 
2016-12
14 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016-08
2nd row2016-08
3rd row2016-08
4th row2016-08
5th row2016-08

Common Values

ValueCountFrequency (%)
2016-08 14
20.0%
2016-09 14
20.0%
2016-10 14
20.0%
2016-11 14
20.0%
2016-12 14
20.0%

Length

2023-12-13T00:35:05.621963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:35:05.739462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-08 14
20.0%
2016-09 14
20.0%
2016-10 14
20.0%
2016-11 14
20.0%
2016-12 14
20.0%

위임사명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
IBK신용정보
5 
KB신용정보
5 
SGI신용정보
5 
고려신용정보
5 
기타
5 
Other values (9)
45 

Length

Max length8
Median length7
Mean length6.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIBK신용정보
2nd rowKB신용정보
3rd rowSGI신용정보
4th row고려신용정보
5th row기타

Common Values

ValueCountFrequency (%)
IBK신용정보 5
 
7.1%
KB신용정보 5
 
7.1%
SGI신용정보 5
 
7.1%
고려신용정보 5
 
7.1%
기타 5
 
7.1%
나이스신용정보 5
 
7.1%
미래신용정보 5
 
7.1%
서울신용평가정보 5
 
7.1%
신한신용정보 5
 
7.1%
에스엠신용정보 5
 
7.1%
Other values (4) 20
28.6%

Length

2023-12-13T00:35:05.891322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ibk신용정보 5
 
7.1%
kb신용정보 5
 
7.1%
sgi신용정보 5
 
7.1%
고려신용정보 5
 
7.1%
기타 5
 
7.1%
나이스신용정보 5
 
7.1%
미래신용정보 5
 
7.1%
서울신용평가정보 5
 
7.1%
신한신용정보 5
 
7.1%
에스엠신용정보 5
 
7.1%
Other values (4) 20
28.6%

채무자수
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1204.8714
Minimum4
Maximum12242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-13T00:35:06.039847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.45
Q1304.5
median367.5
Q3861.5
95-th percentile9837.75
Maximum12242
Range12238
Interquartile range (IQR)557

Descriptive statistics

Standard deviation2644.3806
Coefficient of variation (CV)2.1947409
Kurtosis9.9487365
Mean1204.8714
Median Absolute Deviation (MAD)201.5
Skewness3.3547602
Sum84341
Variance6992748.8
MonotonicityNot monotonic
2023-12-13T00:35:06.171966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321 3
 
4.3%
5 3
 
4.3%
377 2
 
2.9%
66 2
 
2.9%
338 2
 
2.9%
341 2
 
2.9%
332 1
 
1.4%
10305 1
 
1.4%
814 1
 
1.4%
1330 1
 
1.4%
Other values (52) 52
74.3%
ValueCountFrequency (%)
4 1
 
1.4%
5 3
4.3%
6 1
 
1.4%
59 1
 
1.4%
62 1
 
1.4%
64 1
 
1.4%
66 2
2.9%
266 1
 
1.4%
273 1
 
1.4%
279 1
 
1.4%
ValueCountFrequency (%)
12242 1
1.4%
10571 1
1.4%
10305 1
1.4%
10119 1
1.4%
9494 1
1.4%
1354 1
1.4%
1351 1
1.4%
1341 1
1.4%
1330 1
1.4%
1284 1
1.4%

Interactions

2023-12-13T00:35:05.314470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:35:06.257420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준월위임사명채무자수
기준월1.0000.0000.000
위임사명0.0001.0000.830
채무자수0.0000.8301.000
2023-12-13T00:35:06.353665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위임사명기준월
위임사명1.0000.000
기준월0.0001.000
2023-12-13T00:35:06.468334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채무자수기준월위임사명
채무자수1.0000.0000.575
기준월0.0001.0000.000
위임사명0.5750.0001.000

Missing values

2023-12-13T00:35:05.426628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:35:05.508361image/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

기준월위임사명채무자수
02016-08IBK신용정보1330
12016-08KB신용정보66
22016-08SGI신용정보273
32016-08고려신용정보739
42016-08기타10119
52016-08나이스신용정보266
62016-08미래신용정보299
72016-08서울신용평가정보6
82016-08신한신용정보353
92016-08에스엠신용정보321
기준월위임사명채무자수
602016-12기타12242
612016-12나이스신용정보429
622016-12미래신용정보377
632016-12서울신용평가정보5
642016-12신한신용정보375
652016-12에스엠신용정보401
662016-12에이앤디신용정보452
672016-12우리신용정보882
682016-12중앙신용정보845
692016-12케이티비신용정보341