Overview

Dataset statistics

Number of variables3
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory882.0 B
Average record size in memory29.4 B

Variable types

DateTime1
Categorical1
Numeric1

Dataset

Description한국자산관리공사 IMF 접수 정보 데이터
Author한국자산관리공사
URLhttps://www.data.go.kr/data/15069815/fileData.do

Alerts

건수 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-12 05:05:21.475075
Analysis finished2023-12-12 05:05:21.827777
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일자
Date

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2013-06-17 00:00:00
Maximum2013-11-07 00:00:00
2023-12-12T14:05:21.889921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:05:22.019382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

금융회사분류
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
기타
18 
은행
9 
보험
2 
저축은행
 
1

Length

Max length4
Median length2
Mean length2.0666667
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row기타
2nd row기타
3rd row은행
4th row기타
5th row은행

Common Values

ValueCountFrequency (%)
기타 18
60.0%
은행 9
30.0%
보험 2
 
6.7%
저축은행 1
 
3.3%

Length

2023-12-12T14:05:22.162432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:05:22.317196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 18
60.0%
은행 9
30.0%
보험 2
 
6.7%
저축은행 1
 
3.3%

건수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.8
Minimum0
Maximum3016
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T14:05:22.464708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median5.5
Q362
95-th percentile1239.45
Maximum3016
Range3016
Interquartile range (IQR)61

Descriptive statistics

Standard deviation622.44393
Coefficient of variation (CV)2.5636076
Kurtosis14.019314
Mean242.8
Median Absolute Deviation (MAD)4.5
Skewness3.5554684
Sum7284
Variance387436.44
MonotonicityNot monotonic
2023-12-12T14:05:22.618260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 8
26.7%
2 4
13.3%
9 2
 
6.7%
5 2
 
6.7%
0 1
 
3.3%
7 1
 
3.3%
259 1
 
3.3%
1075 1
 
3.3%
14 1
 
3.3%
17 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 1
 
3.3%
1 8
26.7%
2 4
13.3%
5 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
9 2
 
6.7%
14 1
 
3.3%
17 1
 
3.3%
20 1
 
3.3%
ValueCountFrequency (%)
3016 1
3.3%
1374 1
3.3%
1075 1
3.3%
782 1
3.3%
332 1
3.3%
262 1
3.3%
259 1
3.3%
76 1
3.3%
20 1
3.3%
17 1
3.3%

Interactions

2023-12-12T14:05:21.571524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:05:22.717555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일자금융회사분류건수
기준일자1.0000.0000.000
금융회사분류0.0001.0000.000
건수0.0000.0001.000
2023-12-12T14:05:22.811208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수금융회사분류
건수1.0000.000
금융회사분류0.0001.000

Missing values

2023-12-12T14:05:21.694525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:05:21.790071image/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

기준일자금융회사분류건수
02013-06-17기타0
12013-06-26기타1
22013-06-27은행332
32013-06-27기타3016
42013-06-28은행782
52013-06-29기타1374
62013-07-02기타6
72013-07-16보험1
82013-07-16기타1
92013-07-22은행2
기준일자금융회사분류건수
202013-08-27은행17
212013-08-28은행14
222013-08-29은행1075
232013-08-29기타5
242013-09-16기타259
252013-10-28기타5
262013-10-29기타9
272013-11-01기타1
282013-11-04기타1
292013-11-07기타9