Overview

Dataset statistics

Number of variables5
Number of observations85
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory45.6 B

Variable types

Categorical2
Numeric3

Dataset

Description보건복지부의 장애수당 수급자 현황 자료로 2018년~2022년까지 기초생활보장 생계/의료급여 수급자, 차상위 및 기초생활보장 교육/주거급여 수급자 현황을 시도별로 제공하고 있습니다.* 18세 이상 등록장애인 중 중증장애인에 해당하지 않는 기초생활수급자 및 차상위계층에 대하여 장애수당 지급(중증장애인은 장애인연금 수급)
Author보건복지부
URLhttps://www.data.go.kr/data/15001632/fileData.do

Alerts

기초생활보장 생계_의료급여 수급자(일반) is highly overall correlated with 기초생활보장 생계_의료급여 수급자(시설) and 2 other fieldsHigh correlation
기초생활보장 생계_의료급여 수급자(시설) is highly overall correlated with 기초생활보장 생계_의료급여 수급자(일반) and 2 other fieldsHigh correlation
차상위 및 기초생활보장 교육_주거급여 수급자 is highly overall correlated with 기초생활보장 생계_의료급여 수급자(일반) and 2 other fieldsHigh correlation
시도 is highly overall correlated with 기초생활보장 생계_의료급여 수급자(일반) and 2 other fieldsHigh correlation
기초생활보장 생계_의료급여 수급자(일반) has unique valuesUnique
차상위 및 기초생활보장 교육_주거급여 수급자 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:21:18.710436
Analysis finished2024-04-29 22:21:21.100613
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct5
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size812.0 B
2018
17 
2019
17 
2020
17 
2021
17 
2022
17 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 17
20.0%
2019 17
20.0%
2020 17
20.0%
2021 17
20.0%
2022 17
20.0%

Length

2024-04-30T07:21:21.170143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:21:21.272988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 17
20.0%
2019 17
20.0%
2020 17
20.0%
2021 17
20.0%
2022 17
20.0%

시도
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
서울Seoul
 
5
부산Busan
 
5
대구Daegu
 
5
인천Incheon
 
5
광주Gwangju
 
5
Other values (12)
60 

Length

Max length11
Median length10
Mean length8.7058824
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울Seoul
2nd row부산Busan
3rd row대구Daegu
4th row인천Incheon
5th row광주Gwangju

Common Values

ValueCountFrequency (%)
서울Seoul 5
 
5.9%
부산Busan 5
 
5.9%
대구Daegu 5
 
5.9%
인천Incheon 5
 
5.9%
광주Gwangju 5
 
5.9%
대전Daejeon 5
 
5.9%
울산Ulsan 5
 
5.9%
세종Sejong 5
 
5.9%
경기Gyeonggi 5
 
5.9%
강원Gangwon 5
 
5.9%
Other values (7) 35
41.2%

Length

2024-04-30T07:21:21.381078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울seoul 5
 
5.9%
강원gangwon 5
 
5.9%
경남gyeongnam 5
 
5.9%
경북gyeongbuk 5
 
5.9%
전남jeonnam 5
 
5.9%
전북jeonbuk 5
 
5.9%
충남chungnam 5
 
5.9%
충북chungbuk 5
 
5.9%
경기gyeonggi 5
 
5.9%
부산busan 5
 
5.9%
Other values (7) 35
41.2%

기초생활보장 생계_의료급여 수급자(일반)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14699.529
Minimum564
Maximum45295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-04-30T07:21:21.499706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum564
5-th percentile1145.8
Q17926
median12740
Q316799
95-th percentile39857
Maximum45295
Range44731
Interquartile range (IQR)8873

Descriptive statistics

Standard deviation11134.376
Coefficient of variation (CV)0.75746478
Kurtosis1.264768
Mean14699.529
Median Absolute Deviation (MAD)4798
Skewness1.3130384
Sum1249460
Variance1.2397432 × 108
MonotonicityNot monotonic
2024-04-30T07:21:21.616762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37736 1
 
1.2%
16790 1
 
1.2%
11217 1
 
1.2%
8991 1
 
1.2%
10416 1
 
1.2%
43120 1
 
1.2%
660 1
 
1.2%
3846 1
 
1.2%
8266 1
 
1.2%
8545 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
564 1
1.2%
565 1
1.2%
608 1
1.2%
660 1
1.2%
712 1
1.2%
2881 1
1.2%
2885 1
1.2%
2966 1
1.2%
3182 1
1.2%
3188 1
1.2%
ValueCountFrequency (%)
45295 1
1.2%
44333 1
1.2%
43835 1
1.2%
43120 1
1.2%
40133 1
1.2%
38753 1
1.2%
38178 1
1.2%
37736 1
1.2%
37240 1
1.2%
36021 1
1.2%

기초생활보장 생계_의료급여 수급자(시설)
Real number (ℝ)

HIGH CORRELATION 

Distinct78
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean773.28235
Minimum104
Maximum2832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-04-30T07:21:21.735584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104
5-th percentile112
Q1530
median759
Q3930
95-th percentile1980.6
Maximum2832
Range2728
Interquartile range (IQR)400

Descriptive statistics

Standard deviation531.07953
Coefficient of variation (CV)0.68678605
Kurtosis5.5362045
Mean773.28235
Median Absolute Deviation (MAD)211
Skewness1.9831274
Sum65729
Variance282045.47
MonotonicityNot monotonic
2024-04-30T07:21:21.845029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115 2
 
2.4%
336 2
 
2.4%
828 2
 
2.4%
1036 2
 
2.4%
112 2
 
2.4%
930 2
 
2.4%
993 2
 
2.4%
549 1
 
1.2%
616 1
 
1.2%
2728 1
 
1.2%
Other values (68) 68
80.0%
ValueCountFrequency (%)
104 1
1.2%
107 1
1.2%
109 1
1.2%
110 1
1.2%
112 2
2.4%
115 2
2.4%
116 1
1.2%
118 1
1.2%
294 1
1.2%
296 1
1.2%
ValueCountFrequency (%)
2832 1
1.2%
2728 1
1.2%
2444 1
1.2%
2399 1
1.2%
2186 1
1.2%
1159 1
1.2%
1118 1
1.2%
1114 1
1.2%
1089 1
1.2%
1064 1
1.2%

차상위 및 기초생활보장 교육_주거급여 수급자
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6676.7176
Minimum365
Maximum20428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2024-04-30T07:21:21.973711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum365
5-th percentile583.6
Q13337
median5823
Q38436
95-th percentile17130
Maximum20428
Range20063
Interquartile range (IQR)5099

Descriptive statistics

Standard deviation4671.4669
Coefficient of variation (CV)0.69966519
Kurtosis1.1606953
Mean6676.7176
Median Absolute Deviation (MAD)2605
Skewness1.1235851
Sum567521
Variance21822603
MonotonicityNot monotonic
2024-04-30T07:21:22.105603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14138 1
 
1.2%
6069 1
 
1.2%
4895 1
 
1.2%
4146 1
 
1.2%
5271 1
 
1.2%
19310 1
 
1.2%
396 1
 
1.2%
1822 1
 
1.2%
2859 1
 
1.2%
3337 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
365 1
1.2%
379 1
1.2%
396 1
1.2%
405 1
1.2%
411 1
1.2%
1274 1
1.2%
1325 1
1.2%
1365 1
1.2%
1396 1
1.2%
1442 1
1.2%
ValueCountFrequency (%)
20428 1
1.2%
19310 1
1.2%
19301 1
1.2%
18634 1
1.2%
17354 1
1.2%
16234 1
1.2%
15221 1
1.2%
14138 1
1.2%
13962 1
1.2%
13416 1
1.2%

Interactions

2024-04-30T07:21:20.672826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:21:20.009955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:21:20.429448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:21:20.750992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:21:20.139292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:21:20.503332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:21:20.835613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:21:20.345809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:21:20.580033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:21:22.203519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도시도기초생활보장 생계_의료급여 수급자(일반)기초생활보장 생계_의료급여 수급자(시설)차상위 및 기초생활보장 교육_주거급여 수급자
연도1.0000.0000.0000.0000.000
시도0.0001.0000.8990.9100.928
기초생활보장 생계_의료급여 수급자(일반)0.0000.8991.0000.8680.897
기초생활보장 생계_의료급여 수급자(시설)0.0000.9100.8681.0000.880
차상위 및 기초생활보장 교육_주거급여 수급자0.0000.9280.8970.8801.000
2024-04-30T07:21:22.315799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도시도
연도1.0000.000
시도0.0001.000
2024-04-30T07:21:22.399395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기초생활보장 생계_의료급여 수급자(일반)기초생활보장 생계_의료급여 수급자(시설)차상위 및 기초생활보장 교육_주거급여 수급자연도시도
기초생활보장 생계_의료급여 수급자(일반)1.0000.7530.8970.0000.611
기초생활보장 생계_의료급여 수급자(시설)0.7531.0000.7990.0000.670
차상위 및 기초생활보장 교육_주거급여 수급자0.8970.7991.0000.0000.681
연도0.0000.0000.0001.0000.000
시도0.6110.6700.6810.0001.000

Missing values

2024-04-30T07:21:20.949180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:21:21.050431image/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

연도시도기초생활보장 생계_의료급여 수급자(일반)기초생활보장 생계_의료급여 수급자(시설)차상위 및 기초생활보장 교육_주거급여 수급자
02018서울Seoul37736111414138
12018부산Busan213516977577
22018대구Daegu142267995089
32018인천Incheon135666555166
42018광주Gwangju75693043578
52018대전Daejeon73055002906
62018울산Ulsan31881071637
72018세종Sejong565110379
82018경기Gyeonggi36021218617354
92018강원Gangwon94155725823
연도시도기초생활보장 생계_의료급여 수급자(일반)기초생활보장 생계_의료급여 수급자(시설)차상위 및 기초생활보장 교육_주거급여 수급자
752022세종Sejong712112365
762022경기Gyeonggi44333283218634
772022강원Gangwon109347085052
782022충북Chungbuk92549923922
792022충남Chungnam115338204641
802022전북Jeonbuk161918287315
812022전남Jeonnam144838818125
822022경북Gyeongbuk1967711598553
832022경남Gyeongnam198027327691
842022제주Jeju32583361274