Overview

Dataset statistics

Number of variables5
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory44.2 B

Variable types

Categorical2
Numeric3

Dataset

Description사회보장정보시스템(행복e음)에 등록된 기초생활보장, 기초(노령)연금, 장애인연금 수급자의 급여지급 현황을 월별로 집계한 통계데이터
URLhttps://www.data.go.kr/data/15009571/fileData.do

Alerts

사업명 is highly overall correlated with 지급건수 and 2 other fieldsHigh correlation
서비스 is highly overall correlated with 지급건수 and 2 other fieldsHigh correlation
지급건수 is highly overall correlated with 지급금액 and 2 other fieldsHigh correlation
지급금액 is highly overall correlated with 지급건수 and 2 other fieldsHigh correlation
지급건수 has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:56:44.836563
Analysis finished2023-12-11 22:56:46.136424
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
기초생활
83 
장애인복지
12 
기초연금
12 

Length

Max length5
Median length4
Mean length4.1121495
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기초생활 83
77.6%
장애인복지 12
 
11.2%
기초연금 12
 
11.2%

Length

2023-12-12T07:56:46.206795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:56:46.571306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기초생활 83
77.6%
장애인복지 12
 
11.2%
기초연금 12
 
11.2%

서비스
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size988.0 B
생계급여(일반)
12 
주거급여
12 
생계급여(시설)
12 
사할린한인(특별지원금)
12 
해산급여
12 
Other values (4)
47 

Length

Max length12
Median length8
Mean length6.317757
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생계급여(일반)
2nd row생계급여(일반)
3rd row생계급여(일반)
4th row생계급여(일반)
5th row생계급여(일반)

Common Values

ValueCountFrequency (%)
생계급여(일반) 12
11.2%
주거급여 12
11.2%
생계급여(시설) 12
11.2%
사할린한인(특별지원금) 12
11.2%
해산급여 12
11.2%
장제급여 12
11.2%
장애인연금 12
11.2%
기초연금 12
11.2%
생계급여(긴급) 11
10.3%

Length

2023-12-12T07:56:46.704050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:56:46.831581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생계급여(일반 12
11.2%
주거급여 12
11.2%
생계급여(시설 12
11.2%
사할린한인(특별지원금 12
11.2%
해산급여 12
11.2%
장제급여 12
11.2%
장애인연금 12
11.2%
기초연금 12
11.2%
생계급여(긴급 11
10.3%

기준년월
Real number (ℝ)

Distinct12
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202206.47
Minimum202201
Maximum202212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T07:56:46.956169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202201
5-th percentile202201
Q1202203.5
median202206
Q3202209
95-th percentile202212
Maximum202212
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4676885
Coefficient of variation (CV)1.7149246 × 10-5
Kurtosis-1.2087605
Mean202206.47
Median Absolute Deviation (MAD)3
Skewness0.018953612
Sum21636092
Variance12.024863
MonotonicityNot monotonic
2023-12-12T07:56:47.062679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
202201 9
8.4%
202202 9
8.4%
202203 9
8.4%
202204 9
8.4%
202205 9
8.4%
202206 9
8.4%
202207 9
8.4%
202208 9
8.4%
202209 9
8.4%
202211 9
8.4%
Other values (2) 17
15.9%
ValueCountFrequency (%)
202201 9
8.4%
202202 9
8.4%
202203 9
8.4%
202204 9
8.4%
202205 9
8.4%
202206 9
8.4%
202207 9
8.4%
202208 9
8.4%
202209 9
8.4%
202210 8
7.5%
ValueCountFrequency (%)
202212 9
8.4%
202211 9
8.4%
202210 8
7.5%
202209 9
8.4%
202208 9
8.4%
202207 9
8.4%
202206 9
8.4%
202205 9
8.4%
202204 9
8.4%
202203 9
8.4%

지급건수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1101413.5
Minimum4
Maximum6200201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T07:56:47.187311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile38.9
Q11099
median85735
Q31133428.5
95-th percentile6091510.7
Maximum6200201
Range6200197
Interquartile range (IQR)1132329.5

Descriptive statistics

Standard deviation1910381.1
Coefficient of variation (CV)1.7344812
Kurtosis2.5209639
Mean1101413.5
Median Absolute Deviation (MAD)85697
Skewness1.9528352
Sum1.1785125 × 108
Variance3.649556 × 1012
MonotonicityNot monotonic
2023-12-12T07:56:47.341076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1080411 1
 
0.9%
4681 1
 
0.9%
37 1
 
0.9%
44 1
 
0.9%
38 1
 
0.9%
29 1
 
0.9%
41 1
 
0.9%
58 1
 
0.9%
43 1
 
0.9%
49 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
4 1
0.9%
7 1
0.9%
13 1
0.9%
29 1
0.9%
37 1
0.9%
38 1
0.9%
41 1
0.9%
43 1
0.9%
44 1
0.9%
49 1
0.9%
ValueCountFrequency (%)
6200201 1
0.9%
6178012 1
0.9%
6136945 1
0.9%
6120866 1
0.9%
6109687 1
0.9%
6097049 1
0.9%
6078588 1
0.9%
6059367 1
0.9%
6038492 1
0.9%
6014964 1
0.9%

지급금액
Real number (ℝ)

HIGH CORRELATION 

Distinct98
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283022.14
Minimum1
Maximum1704248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T07:56:47.507454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.3
Q1128
median23348
Q3214549.5
95-th percentile1671142.1
Maximum1704248
Range1704247
Interquartile range (IQR)214421.5

Descriptive statistics

Standard deviation521612.62
Coefficient of variation (CV)1.8430099
Kurtosis3.0403635
Mean283022.14
Median Absolute Deviation (MAD)23335
Skewness2.1100708
Sum30283369
Variance2.7207972 × 1011
MonotonicityNot monotonic
2023-12-12T07:56:47.709754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125 3
 
2.8%
127 3
 
2.8%
129 2
 
1.9%
111 2
 
1.9%
13 2
 
1.9%
128 2
 
1.9%
124 2
 
1.9%
4630 1
 
0.9%
1 1
 
0.9%
15 1
 
0.9%
Other values (88) 88
82.2%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
5 1
0.9%
10 1
0.9%
13 2
1.9%
14 1
0.9%
15 1
0.9%
17 1
0.9%
18 1
0.9%
23 1
0.9%
ValueCountFrequency (%)
1704248 1
0.9%
1702461 1
0.9%
1690958 1
0.9%
1679742 1
0.9%
1674632 1
0.9%
1671425 1
0.9%
1670482 1
0.9%
1670367 1
0.9%
1668109 1
0.9%
1664971 1
0.9%

Interactions

2023-12-12T07:56:45.633216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:56:45.039785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:56:45.344491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:56:45.744899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:56:45.134790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:56:45.432204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:56:45.854475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:56:45.239496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:56:45.534278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:56:47.829946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업명서비스기준년월지급건수지급금액
사업명1.0001.0000.0000.6820.721
서비스1.0001.0000.0001.0000.930
기준년월0.0000.0001.0000.0000.000
지급건수0.6821.0000.0001.0001.000
지급금액0.7210.9300.0001.0001.000
2023-12-12T07:56:47.947440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업명서비스
사업명1.0000.971
서비스0.9711.000
2023-12-12T07:56:48.049592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년월지급건수지급금액사업명서비스
기준년월1.0000.0120.0130.0000.000
지급건수0.0121.0000.9780.7110.975
지급금액0.0130.9781.0000.7040.837
사업명0.0000.7110.7041.0000.971
서비스0.0000.9750.8370.9711.000

Missing values

2023-12-12T07:56:46.002975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:56:46.099521image/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

사업명서비스기준년월지급건수지급금액
0기초생활생계급여(일반)2022011080411503064
1기초생활생계급여(일반)2022021090411501473
2기초생활생계급여(일반)2022031101342505586
3기초생활생계급여(일반)2022041107219505835
4기초생활생계급여(일반)2022051115711508757
5기초생활생계급여(일반)2022061119540505533
6기초생활생계급여(일반)2022071125680507787
7기초생활생계급여(일반)2022081131852508468
8기초생활생계급여(일반)2022091128005502040
9기초생활생계급여(일반)2022101135005511089
사업명서비스기준년월지급건수지급금액
97기초연금기초연금20220360149641664971
98기초연금기초연금20220460384921668109
99기초연금기초연금20220560593671670367
100기초연금기초연금20220660785881670482
101기초연금기초연금20220760970491674632
102기초연금기초연금20220861208661679742
103기초연금기초연금20220961096871671425
104기초연금기초연금20221061369451690958
105기초연금기초연금20221161780121704248
106기초연금기초연금20221262002011702461