Overview

Dataset statistics

Number of variables4
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory34.3 B

Variable types

DateTime1
Categorical2
Numeric1

Dataset

Description한국자산관리공사 행복기금 인수 원본 데이터 현황 데이터
Author한국자산관리공사
URLhttps://www.data.go.kr/data/15069814/fileData.do

Alerts

업권명 has constant value ""Constant
지로건수 is highly overall correlated with 인수명High correlation
인수명 is highly overall correlated with 지로건수High correlation
인수명 is highly imbalanced (88.1%)Imbalance

Reproduction

Analysis started2023-12-12 21:37:46.520210
Analysis finished2023-12-12 21:37:46.800860
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인수일자
Date

Distinct99
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size948.0 B
Minimum2013-05-10 00:00:00
Maximum2013-11-28 00:00:00
2023-12-13T06:37:46.870088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:37:47.019452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인수명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size948.0 B
행복기금개별
99 
행복기금일괄
 
1
행복기금일괄(개별)
 
1
행복기금일괄(위탁)
 
1

Length

Max length10
Median length6
Mean length6.0784314
Min length6

Unique

Unique3 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
행복기금개별 99
97.1%
행복기금일괄 1
 
1.0%
행복기금일괄(개별) 1
 
1.0%
행복기금일괄(위탁) 1
 
1.0%

Length

2023-12-13T06:37:47.150962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:37:47.264929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행복기금개별 99
97.1%
행복기금일괄 1
 
1.0%
행복기금일괄(개별 1
 
1.0%
행복기금일괄(위탁 1
 
1.0%

업권명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
대부
102 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대부 102
100.0%

Length

2023-12-13T06:37:47.366885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:37:47.458811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대부 102
100.0%

지로건수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4215686
Minimum1
Maximum432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T06:37:47.531249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile6.95
Maximum432
Range431
Interquartile range (IQR)2

Descriptive statistics

Standard deviation42.781146
Coefficient of variation (CV)5.7644345
Kurtosis98.845121
Mean7.4215686
Median Absolute Deviation (MAD)1
Skewness9.8776013
Sum757
Variance1830.2265
MonotonicityNot monotonic
2023-12-13T06:37:47.616036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 33
32.4%
1 29
28.4%
3 19
18.6%
4 7
 
6.9%
6 4
 
3.9%
5 4
 
3.9%
7 1
 
1.0%
432 1
 
1.0%
38 1
 
1.0%
39 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
1 29
28.4%
2 33
32.4%
3 19
18.6%
4 7
 
6.9%
5 4
 
3.9%
6 4
 
3.9%
7 1
 
1.0%
8 1
 
1.0%
9 1
 
1.0%
38 1
 
1.0%
ValueCountFrequency (%)
432 1
 
1.0%
39 1
 
1.0%
38 1
 
1.0%
9 1
 
1.0%
8 1
 
1.0%
7 1
 
1.0%
6 4
 
3.9%
5 4
 
3.9%
4 7
 
6.9%
3 19
18.6%

Interactions

2023-12-13T06:37:46.599800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:37:47.689972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인수일자인수명지로건수
인수일자1.0000.0000.000
인수명0.0001.0001.000
지로건수0.0001.0001.000
2023-12-13T06:37:47.767182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지로건수인수명
지로건수1.0000.990
인수명0.9901.000

Missing values

2023-12-13T06:37:46.689028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:37:46.765029image/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

인수일자인수명업권명지로건수
02013-05-10행복기금개별대부6
12013-05-13행복기금개별대부1
22013-05-14행복기금개별대부2
32013-05-16행복기금개별대부1
42013-05-21행복기금개별대부2
52013-05-22행복기금개별대부1
62013-05-23행복기금개별대부2
72013-05-24행복기금개별대부2
82013-05-27행복기금개별대부2
92013-05-28행복기금개별대부1
인수일자인수명업권명지로건수
922013-11-05행복기금개별대부3
932013-11-06행복기금개별대부6
942013-11-07행복기금개별대부5
952013-11-08행복기금개별대부5
962013-11-11행복기금개별대부1
972013-11-12행복기금개별대부1
982013-11-14행복기금개별대부1
992013-11-15행복기금개별대부2
1002013-11-27행복기금개별대부2
1012013-11-28행복기금개별대부2