Overview

Dataset statistics

Number of variables10
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory92.4 B

Variable types

Text1
Numeric8
Categorical1

Dataset

Description전북특별자치도 전주시의 기초생활수급자수를 제공하며, 행정동 구분, 일반수급자 가구수, 일반수급자 수급권자수, 조건부수급자 가구수, 조건부수급자 수급권자수, 특례수급자 가구수 등을 제공합니다.항목 : 행정동 구분, 일반수급자 가구수, 일반수급자 수급권자수, 조건부수급자 가구수, 조건부수급자 수급권자수, 특례수급자 가구수, 특례수급자 수급권자수, 시설수급자 가구수, 시설수급자 수급권자수, 기준연도제공부서 : 생활복지과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15113459/fileData.do

Alerts

기준연도 has constant value ""Constant
일반수급자 가구수 is highly overall correlated with 일반수급자 수급권자수 and 4 other fieldsHigh correlation
일반수급자 수급권자수 is highly overall correlated with 일반수급자 가구수 and 4 other fieldsHigh correlation
조건부수급자 가구수 is highly overall correlated with 일반수급자 가구수 and 4 other fieldsHigh correlation
조건부수급자 수급권자수 is highly overall correlated with 일반수급자 가구수 and 4 other fieldsHigh correlation
특례수급자 가구수 is highly overall correlated with 일반수급자 가구수 and 4 other fieldsHigh correlation
특례수급자 수급권자수 is highly overall correlated with 일반수급자 가구수 and 4 other fieldsHigh correlation
시설수급자 가구수 is highly overall correlated with 시설수급자 수급권자수High correlation
시설수급자 수급권자수 is highly overall correlated with 시설수급자 가구수High correlation
행정동 구분 has unique valuesUnique
일반수급자 수급권자수 has unique valuesUnique
일반수급자 가구수 has 1 (2.6%) zerosZeros
일반수급자 수급권자수 has 1 (2.6%) zerosZeros
조건부수급자 가구수 has 3 (7.9%) zerosZeros
조건부수급자 수급권자수 has 3 (7.9%) zerosZeros
특례수급자 가구수 has 4 (10.5%) zerosZeros
특례수급자 수급권자수 has 4 (10.5%) zerosZeros
시설수급자 가구수 has 14 (36.8%) zerosZeros
시설수급자 수급권자수 has 14 (36.8%) zerosZeros

Reproduction

Analysis started2024-03-14 14:58:27.286337
Analysis finished2024-03-14 14:58:44.466335
Duration17.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동 구분
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size432.0 B
2024-03-14T23:58:45.220367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.342105
Min length3

Characters and Unicode

Total characters431
Distinct characters46
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row전주시
2nd row전주시 완산구
3rd row전주시 완산구 중앙동
4th row전주시 완산구 풍남동
5th row전주시 완산구 노송동
ValueCountFrequency (%)
전주시 38
34.2%
완산구 20
18.0%
덕진구 17
15.3%
조촌동 1
 
0.9%
효자5동 1
 
0.9%
여의동 1
 
0.9%
진북동 1
 
0.9%
인후1동 1
 
0.9%
인후2동 1
 
0.9%
인후3동 1
 
0.9%
Other values (29) 29
26.1%
2024-03-14T23:58:46.561226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
16.9%
전 38
8.8%
동 38
8.8%
시 38
8.8%
주 38
8.8%
구 37
8.6%
산 24
 
5.6%
완 21
 
4.9%
진 19
 
4.4%
덕 18
 
4.2%
Other values (36) 87
20.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
78.2%
Space Separator 73
 
16.9%
Decimal Number 21
 
4.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 38
11.3%
동 38
11.3%
시 38
11.3%
주 38
11.3%
구 37
11.0%
산 24
 
7.1%
완 21
 
6.2%
진 19
 
5.6%
덕 18
 
5.3%
효 5
 
1.5%
Other values (30) 61
18.1%
Decimal Number
ValueCountFrequency (%)
2 8
38.1%
1 8
38.1%
3 3
 
14.3%
5 1
 
4.8%
4 1
 
4.8%
Space Separator
ValueCountFrequency (%)
73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
78.2%
Common 94
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 38
11.3%
동 38
11.3%
시 38
11.3%
주 38
11.3%
구 37
11.0%
산 24
 
7.1%
완 21
 
6.2%
진 19
 
5.6%
덕 18
 
5.3%
효 5
 
1.5%
Other values (30) 61
18.1%
Common
ValueCountFrequency (%)
73
77.7%
2 8
 
8.5%
1 8
 
8.5%
3 3
 
3.2%
5 1
 
1.1%
4 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
78.2%
ASCII 94
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
77.7%
2 8
 
8.5%
1 8
 
8.5%
3 3
 
3.2%
5 1
 
1.1%
4 1
 
1.1%
Hangul
ValueCountFrequency (%)
전 38
11.3%
동 38
11.3%
시 38
11.3%
주 38
11.3%
구 37
11.0%
산 24
 
7.1%
완 21
 
6.2%
진 19
 
5.6%
덕 18
 
5.3%
효 5
 
1.5%
Other values (30) 61
18.1%

일반수급자 가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean572.02632
Minimum0
Maximum2006
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T23:58:46.962629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.8
Q1361.25
median525.5
Q3656.5
95-th percentile1304.3
Maximum2006
Range2006
Interquartile range (IQR)295.25

Descriptive statistics

Standard deviation415.85526
Coefficient of variation (CV)0.72698623
Kurtosis4.5303545
Mean572.02632
Median Absolute Deviation (MAD)157.5
Skewness1.7933147
Sum21737
Variance172935.59
MonotonicityNot monotonic
2024-03-14T23:58:47.440728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
361 2
 
5.3%
9 1
 
2.6%
701 1
 
2.6%
659 1
 
2.6%
1214 1
 
2.6%
567 1
 
2.6%
327 1
 
2.6%
442 1
 
2.6%
613 1
 
2.6%
494 1
 
2.6%
Other values (27) 27
71.1%
ValueCountFrequency (%)
0 1
2.6%
1 1
2.6%
9 1
2.6%
47 1
2.6%
238 1
2.6%
266 1
2.6%
327 1
2.6%
332 1
2.6%
361 2
5.3%
362 1
2.6%
ValueCountFrequency (%)
2006 1
2.6%
1816 1
2.6%
1214 1
2.6%
1127 1
2.6%
864 1
2.6%
836 1
2.6%
748 1
2.6%
701 1
2.6%
660 1
2.6%
659 1
2.6%

일반수급자 수급권자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean833.31579
Minimum0
Maximum2535
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T23:58:47.819875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.65
Q1514.5
median753.5
Q3954.5
95-th percentile2052.8
Maximum2535
Range2535
Interquartile range (IQR)440

Descriptive statistics

Standard deviation584.34986
Coefficient of variation (CV)0.7012346
Kurtosis2.3349152
Mean833.31579
Median Absolute Deviation (MAD)224
Skewness1.3490493
Sum31666
Variance341464.76
MonotonicityNot monotonic
2024-03-14T23:58:48.233811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
10 1
 
2.6%
744 1
 
2.6%
712 1
 
2.6%
962 1
 
2.6%
1976 1
 
2.6%
880 1
 
2.6%
389 1
 
2.6%
604 1
 
2.6%
801 1
 
2.6%
966 1
 
2.6%
Other values (28) 28
73.7%
ValueCountFrequency (%)
0 1
2.6%
1 1
2.6%
10 1
2.6%
77 1
2.6%
318 1
2.6%
389 1
2.6%
399 1
2.6%
457 1
2.6%
509 1
2.6%
511 1
2.6%
ValueCountFrequency (%)
2535 1
2.6%
2488 1
2.6%
1976 1
2.6%
1787 1
2.6%
1392 1
2.6%
1215 1
2.6%
1184 1
2.6%
1107 1
2.6%
966 1
2.6%
962 1
2.6%

조건부수급자 가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.05263
Minimum0
Maximum290
Zeros3
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T23:58:48.613535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149.5
median92.5
Q3135.75
95-th percentile219.65
Maximum290
Range290
Interquartile range (IQR)86.25

Descriptive statistics

Standard deviation68.241601
Coefficient of variation (CV)0.68205703
Kurtosis0.39666743
Mean100.05263
Median Absolute Deviation (MAD)44.5
Skewness0.70104978
Sum3802
Variance4656.9161
MonotonicityNot monotonic
2024-03-14T23:58:49.006283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 3
 
7.9%
194 2
 
5.3%
107 2
 
5.3%
132 2
 
5.3%
146 1
 
2.6%
102 1
 
2.6%
76 1
 
2.6%
137 1
 
2.6%
290 1
 
2.6%
99 1
 
2.6%
Other values (23) 23
60.5%
ValueCountFrequency (%)
0 3
7.9%
6 1
 
2.6%
23 1
 
2.6%
29 1
 
2.6%
36 1
 
2.6%
45 1
 
2.6%
46 1
 
2.6%
48 1
 
2.6%
54 1
 
2.6%
60 1
 
2.6%
ValueCountFrequency (%)
290 1
2.6%
229 1
2.6%
218 1
2.6%
194 2
5.3%
185 1
2.6%
160 1
2.6%
146 1
2.6%
141 1
2.6%
137 1
2.6%
132 2
5.3%

조건부수급자 수급권자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.36842
Minimum0
Maximum563
Zeros3
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T23:58:49.373618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q194
median176.5
Q3261.75
95-th percentile398.75
Maximum563
Range563
Interquartile range (IQR)167.75

Descriptive statistics

Standard deviation128.56157
Coefficient of variation (CV)0.67180137
Kurtosis0.48671965
Mean191.36842
Median Absolute Deviation (MAD)86
Skewness0.65395361
Sum7272
Variance16528.077
MonotonicityNot monotonic
2024-03-14T23:58:49.754797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 3
 
7.9%
166 2
 
5.3%
252 1
 
2.6%
157 1
 
2.6%
276 1
 
2.6%
563 1
 
2.6%
246 1
 
2.6%
114 1
 
2.6%
186 1
 
2.6%
265 1
 
2.6%
Other values (25) 25
65.8%
ValueCountFrequency (%)
0 3
7.9%
17 1
 
2.6%
39 1
 
2.6%
56 1
 
2.6%
71 1
 
2.6%
84 1
 
2.6%
89 1
 
2.6%
92 1
 
2.6%
100 1
 
2.6%
114 1
 
2.6%
ValueCountFrequency (%)
563 1
2.6%
403 1
2.6%
398 1
2.6%
368 1
2.6%
362 1
2.6%
336 1
2.6%
327 1
2.6%
281 1
2.6%
276 1
2.6%
265 1
2.6%

특례수급자 가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6842105
Minimum0
Maximum34
Zeros4
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T23:58:50.105132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median7.5
Q310.75
95-th percentile26.9
Maximum34
Range34
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation7.5376721
Coefficient of variation (CV)0.86797436
Kurtosis4.8746137
Mean8.6842105
Median Absolute Deviation (MAD)3.5
Skewness2.0468428
Sum330
Variance56.816501
MonotonicityNot monotonic
2024-03-14T23:58:50.475953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
7 5
13.2%
8 5
13.2%
0 4
10.5%
4 4
10.5%
5 3
7.9%
11 3
7.9%
9 3
7.9%
12 2
 
5.3%
6 1
 
2.6%
10 1
 
2.6%
Other values (7) 7
18.4%
ValueCountFrequency (%)
0 4
10.5%
2 1
 
2.6%
3 1
 
2.6%
4 4
10.5%
5 3
7.9%
6 1
 
2.6%
7 5
13.2%
8 5
13.2%
9 3
7.9%
10 1
 
2.6%
ValueCountFrequency (%)
34 1
 
2.6%
32 1
 
2.6%
26 1
 
2.6%
14 1
 
2.6%
13 1
 
2.6%
12 2
 
5.3%
11 3
7.9%
10 1
 
2.6%
9 3
7.9%
8 5
13.2%

특례수급자 수급권자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.763158
Minimum0
Maximum44
Zeros4
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T23:58:50.842763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median9.5
Q312
95-th percentile34.75
Maximum44
Range44
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.5703207
Coefficient of variation (CV)0.88917405
Kurtosis5.1515852
Mean10.763158
Median Absolute Deviation (MAD)4.5
Skewness2.1122916
Sum409
Variance91.591038
MonotonicityNot monotonic
2024-03-14T23:58:51.190016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
5 5
13.2%
0 4
10.5%
9 4
10.5%
11 4
10.5%
10 3
7.9%
12 3
7.9%
14 2
 
5.3%
15 2
 
5.3%
4 2
 
5.3%
8 2
 
5.3%
Other values (7) 7
18.4%
ValueCountFrequency (%)
0 4
10.5%
2 1
 
2.6%
4 2
 
5.3%
5 5
13.2%
7 1
 
2.6%
8 2
 
5.3%
9 4
10.5%
10 3
7.9%
11 4
10.5%
12 3
7.9%
ValueCountFrequency (%)
44 1
 
2.6%
39 1
 
2.6%
34 1
 
2.6%
17 1
 
2.6%
15 2
5.3%
14 2
5.3%
13 1
 
2.6%
12 3
7.9%
11 4
10.5%
10 3
7.9%

시설수급자 가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.184211
Minimum0
Maximum740
Zeros14
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T23:58:51.509218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33.75
95-th percentile27.15
Maximum740
Range740
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation119.61308
Coefficient of variation (CV)5.1592476
Kurtosis37.742347
Mean23.184211
Median Absolute Deviation (MAD)1
Skewness6.1343439
Sum881
Variance14307.289
MonotonicityNot monotonic
2024-03-14T23:58:52.065081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 14
36.8%
1 6
15.8%
2 6
15.8%
3 2
 
5.3%
9 2
 
5.3%
740 1
 
2.6%
28 1
 
2.6%
10 1
 
2.6%
27 1
 
2.6%
16 1
 
2.6%
Other values (3) 3
 
7.9%
ValueCountFrequency (%)
0 14
36.8%
1 6
15.8%
2 6
15.8%
3 2
 
5.3%
4 1
 
2.6%
6 1
 
2.6%
8 1
 
2.6%
9 2
 
5.3%
10 1
 
2.6%
16 1
 
2.6%
ValueCountFrequency (%)
740 1
2.6%
28 1
2.6%
27 1
2.6%
16 1
2.6%
10 1
2.6%
9 2
5.3%
8 1
2.6%
6 1
2.6%
4 1
2.6%
3 2
5.3%

시설수급자 수급권자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.184211
Minimum0
Maximum740
Zeros14
Zeros (%)36.8%
Negative0
Negative (%)0.0%
Memory size470.0 B
2024-03-14T23:58:52.413516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33.75
95-th percentile27.15
Maximum740
Range740
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation119.61308
Coefficient of variation (CV)5.1592476
Kurtosis37.742347
Mean23.184211
Median Absolute Deviation (MAD)1
Skewness6.1343439
Sum881
Variance14307.289
MonotonicityNot monotonic
2024-03-14T23:58:52.788958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 14
36.8%
1 6
15.8%
2 6
15.8%
3 2
 
5.3%
9 2
 
5.3%
740 1
 
2.6%
28 1
 
2.6%
10 1
 
2.6%
27 1
 
2.6%
16 1
 
2.6%
Other values (3) 3
 
7.9%
ValueCountFrequency (%)
0 14
36.8%
1 6
15.8%
2 6
15.8%
3 2
 
5.3%
4 1
 
2.6%
6 1
 
2.6%
8 1
 
2.6%
9 2
 
5.3%
10 1
 
2.6%
16 1
 
2.6%
ValueCountFrequency (%)
740 1
2.6%
28 1
2.6%
27 1
2.6%
16 1
2.6%
10 1
2.6%
9 2
5.3%
8 1
2.6%
6 1
2.6%
4 1
2.6%
3 2
5.3%

기준연도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size432.0 B
2022
38 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 38
100.0%

Length

2024-03-14T23:58:53.202965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T23:58:53.514961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 38
100.0%

Interactions

2024-03-14T23:58:41.582866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:27.613697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:29.545008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:31.527054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:33.535763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:35.505311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:37.519344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:39.545681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:41.848077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:27.838877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:29.806649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:31.790160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:33.792660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:35.767750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:37.755711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:39.808903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:42.096768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:27.990037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:30.043946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:32.033307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:34.032836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:36.013190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:38.099509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:40.063681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:42.393340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:28.242119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:30.290668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:32.278200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:34.278641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:36.263146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:38.338787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:40.315357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:42.541094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:28.495335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:30.536856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:32.520399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:34.516943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:36.511768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:38.573664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:40.561794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:42.722750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:28.760265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:30.788561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:32.782072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:34.767614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:36.765929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:38.823129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:40.820987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:43.001219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:29.007585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:31.022269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:33.026333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:35.002146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:37.004033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:39.050175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:41.064764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:43.273653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:29.276125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:31.273739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:33.280387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:35.254733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:37.260540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:39.296373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:58:41.323346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:58:53.706709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동 구분일반수급자 가구수일반수급자 수급권자수조건부수급자 가구수조건부수급자 수급권자수특례수급자 가구수특례수급자 수급권자수시설수급자 가구수시설수급자 수급권자수
행정동 구분1.0001.0001.0001.0001.0001.0001.0001.0001.000
일반수급자 가구수1.0001.0000.9750.8290.8660.7370.8110.3150.315
일반수급자 수급권자수1.0000.9751.0000.7410.8020.6810.7620.3150.315
조건부수급자 가구수1.0000.8290.7411.0000.9710.6710.7080.0000.000
조건부수급자 수급권자수1.0000.8660.8020.9711.0000.5860.6910.0000.000
특례수급자 가구수1.0000.7370.6810.6710.5861.0000.9580.0000.000
특례수급자 수급권자수1.0000.8110.7620.7080.6910.9581.0000.0000.000
시설수급자 가구수1.0000.3150.3150.0000.0000.0000.0001.0000.667
시설수급자 수급권자수1.0000.3150.3150.0000.0000.0000.0000.6671.000
2024-03-14T23:58:54.025673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일반수급자 가구수일반수급자 수급권자수조건부수급자 가구수조건부수급자 수급권자수특례수급자 가구수특례수급자 수급권자수시설수급자 가구수시설수급자 수급권자수
일반수급자 가구수1.0000.9790.8830.8660.7010.6710.2160.216
일반수급자 수급권자수0.9791.0000.9080.8980.6980.6770.2540.254
조건부수급자 가구수0.8830.9081.0000.9870.6470.5890.2420.242
조건부수급자 수급권자수0.8660.8980.9871.0000.6340.5740.2420.242
특례수급자 가구수0.7010.6980.6470.6341.0000.9530.1320.132
특례수급자 수급권자수0.6710.6770.5890.5740.9531.0000.1690.169
시설수급자 가구수0.2160.2540.2420.2420.1320.1691.0001.000
시설수급자 수급권자수0.2160.2540.2420.2420.1320.1691.0001.000

Missing values

2024-03-14T23:58:43.685032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:58:44.261482image/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

행정동 구분일반수급자 가구수일반수급자 수급권자수조건부수급자 가구수조건부수급자 수급권자수특례수급자 가구수특례수급자 수급권자수시설수급자 가구수시설수급자 수급권자수기준연도
0전주시91000007407402022
1전주시 완산구000000112022
2전주시 완산구 중앙동362457457135112022
3전주시 완산구 풍남동266318233979112022
4전주시 완산구 노송동5977636012657002022
5전주시 완산구 완산동4165255410022002022
6전주시 완산구 동서학동361509295671028282022
7전주시 완산구 서서학동649906831661417222022
8전주시 완산구 중화산1동3615344689810332022
9전주시 완산구 중화산2동5788051242234510102022
행정동 구분일반수급자 가구수일반수급자 수급권자수조건부수급자 가구수조건부수급자 수급권자수특례수급자 가구수특례수급자 수급권자수시설수급자 가구수시설수급자 수급권자수기준연도
28전주시 덕진구 팔복동61380113225288442022
29전주시 덕진구 우아1동49474413226555222022
30전주시 덕진구 우아2동7019661943361011662022
31전주시 덕진구 호성동3325117716878112022
32전주시 덕진구 송천1동56093210721844332022
33전주시 덕진구 송천2동569885100198911222022
34전주시 덕진구 조촌동8641107981661115002022
35전주시 덕진구 동산동110000002022
36전주시 덕진구 여의동572924107245814222022
37전주시 덕진구 혁신동477761700002022