Overview

Dataset statistics

Number of variables5
Number of observations257
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.7 KiB
Average record size in memory42.5 B

Variable types

Categorical3
Numeric2

Dataset

Description한국자산관리공사의 국민행복기금 비용구분별 지급현황 데이터를 제공합니다. 데이터는 지급월, 비용구분, 비용상세구분, 지급비용, 지급건수로 이루어져 제공됩니다.
Author한국자산관리공사
URLhttps://www.data.go.kr/data/15087869/fileData.do

Alerts

지급비용 is highly overall correlated with 지급건수High correlation
지급건수 is highly overall correlated with 지급비용High correlation

Reproduction

Analysis started2023-12-12 00:08:33.106699
Analysis finished2023-12-12 00:08:34.007589
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지급월
Categorical

Distinct12
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2020-01
25 
2020-04
24 
2020-02
23 
2020-11
22 
2020-12
22 
Other values (7)
141 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-01
2nd row2020-01
3rd row2020-01
4th row2020-01
5th row2020-01

Common Values

ValueCountFrequency (%)
2020-01 25
9.7%
2020-04 24
9.3%
2020-02 23
8.9%
2020-11 22
8.6%
2020-12 22
8.6%
2020-05 21
8.2%
2020-06 21
8.2%
2020-10 21
8.2%
2020-03 20
7.8%
2020-07 20
7.8%
Other values (2) 38
14.8%

Length

2023-12-12T09:08:34.082386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-01 25
9.7%
2020-04 24
9.3%
2020-02 23
8.9%
2020-11 22
8.6%
2020-12 22
8.6%
2020-05 21
8.2%
2020-06 21
8.2%
2020-10 21
8.2%
2020-03 20
7.8%
2020-07 20
7.8%
Other values (2) 38
14.8%

비용구분
Categorical

Distinct6
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
소송비용
87 
강제경매비용
75 
보전조치비용
73 
법무사수수료
18 
매각후관리비용
 
2

Length

Max length9
Median length6
Mean length5.3540856
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소송비용 87
33.9%
강제경매비용 75
29.2%
보전조치비용 73
28.4%
법무사수수료 18
 
7.0%
매각후관리비용 2
 
0.8%
기타(캠코 환매) 2
 
0.8%

Length

2023-12-12T09:08:34.233132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:08:34.363044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소송비용 87
33.6%
강제경매비용 75
29.0%
보전조치비용 73
28.2%
법무사수수료 18
 
6.9%
매각후관리비용 2
 
0.8%
기타(캠코 2
 
0.8%
환매 2
 
0.8%

비용상세구분
Categorical

Distinct13
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
인/증지대 등
36 
송달료
36 
기타
36 
공부대 등
26 
등록세 등(예납금 포함)
25 
Other values (8)
98 

Length

Max length13
Median length7
Mean length5.6964981
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row인/증지대 등
2nd row송달료
3rd row특별송달료
4th row등록세 등(예납금 포함)
5th row공부대 등

Common Values

ValueCountFrequency (%)
인/증지대 등 36
14.0%
송달료 36
14.0%
기타 36
14.0%
공부대 등 26
10.1%
등록세 등(예납금 포함) 25
9.7%
추가공부대 21
8.2%
특별송달료 19
7.4%
변호사수수료 14
 
5.4%
전자사건 PG수수료 13
 
5.1%
법무사수수료 13
 
5.1%
Other values (3) 18
7.0%

Length

2023-12-12T09:08:34.541317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
등 62
16.2%
인/증지대 36
9.4%
송달료 36
9.4%
기타 36
9.4%
공부대 26
 
6.8%
등록세 25
 
6.5%
등(예납금 25
 
6.5%
포함 25
 
6.5%
추가공부대 21
 
5.5%
특별송달료 19
 
5.0%
Other values (7) 71
18.6%

지급비용
Real number (ℝ)

HIGH CORRELATION 

Distinct253
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22781252
Minimum500
Maximum3.196655 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T09:08:34.706651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile41278
Q1243000
median1510580
Q314489772
95-th percentile1.5529485 × 108
Maximum3.196655 × 108
Range3.19665 × 108
Interquartile range (IQR)14246772

Descriptive statistics

Standard deviation53441567
Coefficient of variation (CV)2.3458574
Kurtosis9.4860713
Mean22781252
Median Absolute Deviation (MAD)1455380
Skewness3.0872068
Sum5.8547816 × 109
Variance2.8560011 × 1015
MonotonicityNot monotonic
2023-12-12T09:08:34.869536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2000 2
 
0.8%
66000 2
 
0.8%
500 2
 
0.8%
135000 2
 
0.8%
620850 1
 
0.4%
15645520 1
 
0.4%
10000 1
 
0.4%
893810 1
 
0.4%
219000 1
 
0.4%
1288550 1
 
0.4%
Other values (243) 243
94.6%
ValueCountFrequency (%)
500 2
0.8%
2000 2
0.8%
4000 1
0.4%
7090 1
0.4%
9000 1
0.4%
10000 1
0.4%
10500 1
0.4%
21130 1
0.4%
21300 1
0.4%
32500 1
0.4%
ValueCountFrequency (%)
319665500 1
0.4%
288684920 1
0.4%
236423000 1
0.4%
213193980 1
0.4%
205169200 1
0.4%
200641100 1
0.4%
199345300 1
0.4%
197712450 1
0.4%
196461100 1
0.4%
194470420 1
0.4%

지급건수
Real number (ℝ)

HIGH CORRELATION 

Distinct178
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1464.572
Minimum1
Maximum12715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-12T09:08:35.033778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q119
median79
Q3679
95-th percentile7466.8
Maximum12715
Range12714
Interquartile range (IQR)660

Descriptive statistics

Standard deviation2689.9254
Coefficient of variation (CV)1.8366631
Kurtosis3.0040589
Mean1464.572
Median Absolute Deviation (MAD)77
Skewness1.9430416
Sum376395
Variance7235698.5
MonotonicityNot monotonic
2023-12-12T09:08:35.189120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 14
 
5.4%
2 8
 
3.1%
19 7
 
2.7%
12 6
 
2.3%
17 6
 
2.3%
29 5
 
1.9%
23 5
 
1.9%
9 5
 
1.9%
35 4
 
1.6%
36 3
 
1.2%
Other values (168) 194
75.5%
ValueCountFrequency (%)
1 14
5.4%
2 8
3.1%
3 2
 
0.8%
4 1
 
0.4%
5 2
 
0.8%
6 2
 
0.8%
7 3
 
1.2%
8 1
 
0.4%
9 5
 
1.9%
10 2
 
0.8%
ValueCountFrequency (%)
12715 1
0.4%
12085 1
0.4%
11627 1
0.4%
9532 1
0.4%
9254 1
0.4%
8800 1
0.4%
8663 1
0.4%
8661 1
0.4%
8382 1
0.4%
7982 1
0.4%

Interactions

2023-12-12T09:08:33.603951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:33.357945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:33.721621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:08:33.482156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:08:35.306239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지급월비용구분비용상세구분지급비용지급건수
지급월1.0000.0000.0000.0000.345
비용구분0.0001.0000.7500.2700.537
비용상세구분0.0000.7501.0000.5800.506
지급비용0.0000.2700.5801.0000.744
지급건수0.3450.5370.5060.7441.000
2023-12-12T09:08:35.415362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용상세구분지급월비용구분
비용상세구분1.0000.0000.488
지급월0.0001.0000.000
비용구분0.4880.0001.000
2023-12-12T09:08:35.516734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지급비용지급건수지급월비용구분비용상세구분
지급비용1.0000.6810.0000.1540.305
지급건수0.6811.0000.1520.2990.242
지급월0.0000.1521.0000.0000.000
비용구분0.1540.2990.0001.0000.488
비용상세구분0.3050.2420.0000.4881.000

Missing values

2023-12-12T09:08:33.859057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:08:33.966671image/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

지급월비용구분비용상세구분지급비용지급건수
02020-01강제경매비용인/증지대 등1288550349
12020-01강제경매비용송달료38760700182
22020-01강제경매비용특별송달료5283634
32020-01강제경매비용등록세 등(예납금 포함)140091484349
42020-01강제경매비용공부대 등4428520269
52020-01강제경매비용기타512672396
62020-01소송비용변호사수수료1205285803906
72020-01소송비용인/증지대 등184270003832
82020-01소송비용송달료946625304090
92020-01소송비용추가공부대170000427
지급월비용구분비용상세구분지급비용지급건수
2472020-12소송비용전자사건 PG수수료48298616579
2482020-12소송비용기타6421041
2492020-12보전조치비용인/증지대 등291800116
2502020-12보전조치비용송달료1510580118
2512020-12보전조치비용등록세 등(예납금 포함)205394017
2522020-12보전조치비용전자사건 PG수수료660001
2532020-12보전조치비용보증보험료18533013
2542020-12보전조치비용공부대 등166960111
2552020-12법무사수수료출장여비1342007
2562020-12법무사수수료법무사수수료5050650149