Overview

Dataset statistics

Number of variables12
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory109.3 B

Variable types

Categorical2
Text1
Numeric8
DateTime1

Dataset

Description대전광역시 서구 기초생활수급자 현황에 대한 데이터로 서구 23개 동에 대한 기초생활수급자를 일반수급자, 조건부수급자, 특례수급자, 시설수급자로 분류해 각 수급자별 가구수와 수급권자수를 제공합니다.
URLhttps://www.data.go.kr/data/15085345/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
데이터기준일자 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
읍면동 has unique valuesUnique
일반수급자 가구수 has unique valuesUnique
일반수급자 수급권자수 has unique valuesUnique
조건부수급자 가구수 has 1 (4.0%) zerosZeros
조건부수급자 수급권자수 has 1 (4.0%) zerosZeros
특례수급자 가구수 has 8 (32.0%) zerosZeros
특례수급자 수급권자수 has 8 (32.0%) zerosZeros
시설수급자 가구수 has 10 (40.0%) zerosZeros
시설수급자 수급권자수 has 10 (40.0%) zerosZeros

Reproduction

Analysis started2023-12-12 23:37:42.564561
Analysis finished2023-12-12 23:37:49.402158
Duration6.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
대전광역시
25 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 25
100.0%

Length

2023-12-13T08:37:49.466259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:37:49.574108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 25
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
서구
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 25
100.0%

Length

2023-12-13T08:37:49.663064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:37:49.756549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 25
100.0%

읍면동
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T08:37:49.944335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.4
Min length2

Characters and Unicode

Total characters85
Distinct characters34
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row서구
2nd row복수동
3rd row도마1동
4th row도마2동
5th row정림동
ValueCountFrequency (%)
서구 1
 
4.0%
월평1동 1
 
4.0%
만년동 1
 
4.0%
둔산2동 1
 
4.0%
둔산1동 1
 
4.0%
기성동 1
 
4.0%
관저2동 1
 
4.0%
관저1동 1
 
4.0%
도안동 1
 
4.0%
가수원동 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T08:37:50.306793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
28.2%
1 5
 
5.9%
2 5
 
5.9%
4
 
4.7%
3
 
3.5%
3
 
3.5%
3
 
3.5%
3
 
3.5%
3
 
3.5%
2
 
2.4%
Other values (24) 30
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73
85.9%
Decimal Number 12
 
14.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
32.9%
4
 
5.5%
3
 
4.1%
3
 
4.1%
3
 
4.1%
3
 
4.1%
3
 
4.1%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (21) 24
32.9%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
2 5
41.7%
3 2
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73
85.9%
Common 12
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
32.9%
4
 
5.5%
3
 
4.1%
3
 
4.1%
3
 
4.1%
3
 
4.1%
3
 
4.1%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (21) 24
32.9%
Common
ValueCountFrequency (%)
1 5
41.7%
2 5
41.7%
3 2
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73
85.9%
ASCII 12
 
14.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
32.9%
4
 
5.5%
3
 
4.1%
3
 
4.1%
3
 
4.1%
3
 
4.1%
3
 
4.1%
2
 
2.7%
2
 
2.7%
2
 
2.7%
Other values (21) 24
32.9%
ASCII
ValueCountFrequency (%)
1 5
41.7%
2 5
41.7%
3 2
 
16.7%

일반수급자 가구수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean429.16
Minimum4
Maximum1553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:37:50.467551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile35
Q1157
median398
Q3668
95-th percentile753
Maximum1553
Range1549
Interquartile range (IQR)511

Descriptive statistics

Standard deviation336.56001
Coefficient of variation (CV)0.78422968
Kurtosis3.8639294
Mean429.16
Median Absolute Deviation (MAD)262
Skewness1.4664379
Sum10729
Variance113272.64
MonotonicityNot monotonic
2023-12-13T08:37:50.580746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4 1
 
4.0%
322 1
 
4.0%
705 1
 
4.0%
128 1
 
4.0%
123 1
 
4.0%
28 1
 
4.0%
136 1
 
4.0%
765 1
 
4.0%
171 1
 
4.0%
157 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
4 1
4.0%
28 1
4.0%
63 1
4.0%
123 1
4.0%
128 1
4.0%
136 1
4.0%
157 1
4.0%
171 1
4.0%
242 1
4.0%
311 1
4.0%
ValueCountFrequency (%)
1553 1
4.0%
765 1
4.0%
705 1
4.0%
697 1
4.0%
693 1
4.0%
690 1
4.0%
668 1
4.0%
585 1
4.0%
551 1
4.0%
494 1
4.0%

일반수급자 수급권자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean587.4
Minimum5
Maximum1767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:37:50.699523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile44.2
Q1277
median537
Q3859
95-th percentile1110.4
Maximum1767
Range1762
Interquartile range (IQR)582

Descriptive statistics

Standard deviation415.01396
Coefficient of variation (CV)0.70652699
Kurtosis1.101341
Mean587.4
Median Absolute Deviation (MAD)313
Skewness0.82898291
Sum14685
Variance172236.58
MonotonicityNot monotonic
2023-12-13T08:37:50.816407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
5 1
 
4.0%
471 1
 
4.0%
859 1
 
4.0%
224 1
 
4.0%
174 1
 
4.0%
34 1
 
4.0%
159 1
 
4.0%
1127 1
 
4.0%
278 1
 
4.0%
277 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
5 1
4.0%
34 1
4.0%
85 1
4.0%
159 1
4.0%
174 1
4.0%
224 1
4.0%
277 1
4.0%
278 1
4.0%
343 1
4.0%
469 1
4.0%
ValueCountFrequency (%)
1767 1
4.0%
1127 1
4.0%
1044 1
4.0%
1000 1
4.0%
925 1
4.0%
918 1
4.0%
859 1
4.0%
815 1
4.0%
776 1
4.0%
675 1
4.0%

조건부수급자 가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.32
Minimum0
Maximum287
Zeros1
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:37:50.941095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q131
median110
Q3171
95-th percentile244.2
Maximum287
Range287
Interquartile range (IQR)140

Descriptive statistics

Standard deviation82.335553
Coefficient of variation (CV)0.75316093
Kurtosis-0.78093134
Mean109.32
Median Absolute Deviation (MAD)66
Skewness0.38586259
Sum2733
Variance6779.1433
MonotonicityNot monotonic
2023-12-13T08:37:51.046777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8 2
 
8.0%
0 1
 
4.0%
182 1
 
4.0%
110 1
 
4.0%
31 1
 
4.0%
29 1
 
4.0%
137 1
 
4.0%
23 1
 
4.0%
51 1
 
4.0%
62 1
 
4.0%
Other values (14) 14
56.0%
ValueCountFrequency (%)
0 1
4.0%
8 2
8.0%
10 1
4.0%
23 1
4.0%
29 1
4.0%
31 1
4.0%
50 1
4.0%
51 1
4.0%
62 1
4.0%
67 1
4.0%
ValueCountFrequency (%)
287 1
4.0%
250 1
4.0%
221 1
4.0%
182 1
4.0%
179 1
4.0%
176 1
4.0%
171 1
4.0%
160 1
4.0%
154 1
4.0%
151 1
4.0%

조건부수급자 수급권자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.2
Minimum0
Maximum517
Zeros1
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:37:51.171080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q158
median199
Q3293
95-th percentile391.8
Maximum517
Range517
Interquartile range (IQR)235

Descriptive statistics

Standard deviation139.43846
Coefficient of variation (CV)0.71801471
Kurtosis-0.58448809
Mean194.2
Median Absolute Deviation (MAD)107
Skewness0.32844151
Sum4855
Variance19443.083
MonotonicityNot monotonic
2023-12-13T08:37:51.325794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
58 2
 
8.0%
12 2
 
8.0%
0 1
 
4.0%
199 1
 
4.0%
193 1
 
4.0%
258 1
 
4.0%
46 1
 
4.0%
101 1
 
4.0%
132 1
 
4.0%
29 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
0 1
4.0%
12 2
8.0%
29 1
4.0%
46 1
4.0%
58 2
8.0%
92 1
4.0%
101 1
4.0%
121 1
4.0%
132 1
4.0%
193 1
4.0%
ValueCountFrequency (%)
517 1
4.0%
404 1
4.0%
343 1
4.0%
338 1
4.0%
307 1
4.0%
298 1
4.0%
293 1
4.0%
285 1
4.0%
267 1
4.0%
262 1
4.0%

특례수급자 가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.12
Minimum0
Maximum13
Zeros8
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:37:51.433400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile8.4
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.0865299
Coefficient of variation (CV)1.4559103
Kurtosis6.4125009
Mean2.12
Median Absolute Deviation (MAD)1
Skewness2.4561443
Sum53
Variance9.5266667
MonotonicityNot monotonic
2023-12-13T08:37:51.537329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 8
32.0%
1 6
24.0%
2 6
24.0%
9 1
 
4.0%
4 1
 
4.0%
3 1
 
4.0%
13 1
 
4.0%
6 1
 
4.0%
ValueCountFrequency (%)
0 8
32.0%
1 6
24.0%
2 6
24.0%
3 1
 
4.0%
4 1
 
4.0%
6 1
 
4.0%
9 1
 
4.0%
13 1
 
4.0%
ValueCountFrequency (%)
13 1
 
4.0%
9 1
 
4.0%
6 1
 
4.0%
4 1
 
4.0%
3 1
 
4.0%
2 6
24.0%
1 6
24.0%
0 8
32.0%

특례수급자 수급권자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.76
Minimum0
Maximum17
Zeros8
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:37:51.629632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile10
Maximum17
Range17
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.9505274
Coefficient of variation (CV)1.4313505
Kurtosis6.799249
Mean2.76
Median Absolute Deviation (MAD)2
Skewness2.4505608
Sum69
Variance15.606667
MonotonicityNot monotonic
2023-12-13T08:37:51.740715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 8
32.0%
2 5
20.0%
1 4
16.0%
3 2
 
8.0%
6 2
 
8.0%
11 1
 
4.0%
5 1
 
4.0%
4 1
 
4.0%
17 1
 
4.0%
ValueCountFrequency (%)
0 8
32.0%
1 4
16.0%
2 5
20.0%
3 2
 
8.0%
4 1
 
4.0%
5 1
 
4.0%
6 2
 
8.0%
11 1
 
4.0%
17 1
 
4.0%
ValueCountFrequency (%)
17 1
 
4.0%
11 1
 
4.0%
6 2
 
8.0%
5 1
 
4.0%
4 1
 
4.0%
3 2
 
8.0%
2 5
20.0%
1 4
16.0%
0 8
32.0%

시설수급자 가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.44
Minimum0
Maximum885
Zeros10
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:37:51.860658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile28.4
Maximum885
Range885
Interquartile range (IQR)4

Descriptive statistics

Standard deviation176.49412
Coefficient of variation (CV)4.5914182
Kurtosis24.918281
Mean38.44
Median Absolute Deviation (MAD)1
Skewness4.988474
Sum961
Variance31150.173
MonotonicityNot monotonic
2023-12-13T08:37:51.948830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 10
40.0%
3 4
 
16.0%
4 4
 
16.0%
1 3
 
12.0%
885 1
 
4.0%
5 1
 
4.0%
6 1
 
4.0%
34 1
 
4.0%
ValueCountFrequency (%)
0 10
40.0%
1 3
 
12.0%
3 4
 
16.0%
4 4
 
16.0%
5 1
 
4.0%
6 1
 
4.0%
34 1
 
4.0%
885 1
 
4.0%
ValueCountFrequency (%)
885 1
 
4.0%
34 1
 
4.0%
6 1
 
4.0%
5 1
 
4.0%
4 4
 
16.0%
3 4
 
16.0%
1 3
 
12.0%
0 10
40.0%

시설수급자 수급권자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.44
Minimum0
Maximum885
Zeros10
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T08:37:52.052731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile28.4
Maximum885
Range885
Interquartile range (IQR)4

Descriptive statistics

Standard deviation176.49412
Coefficient of variation (CV)4.5914182
Kurtosis24.918281
Mean38.44
Median Absolute Deviation (MAD)1
Skewness4.988474
Sum961
Variance31150.173
MonotonicityNot monotonic
2023-12-13T08:37:52.134847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 10
40.0%
3 4
 
16.0%
4 4
 
16.0%
1 3
 
12.0%
885 1
 
4.0%
5 1
 
4.0%
6 1
 
4.0%
34 1
 
4.0%
ValueCountFrequency (%)
0 10
40.0%
1 3
 
12.0%
3 4
 
16.0%
4 4
 
16.0%
5 1
 
4.0%
6 1
 
4.0%
34 1
 
4.0%
885 1
 
4.0%
ValueCountFrequency (%)
885 1
 
4.0%
34 1
 
4.0%
6 1
 
4.0%
5 1
 
4.0%
4 4
 
16.0%
3 4
 
16.0%
1 3
 
12.0%
0 10
40.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2023-07-27 00:00:00
Maximum2023-07-27 00:00:00
2023-12-13T08:37:52.214774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:52.302755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:37:48.267966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:42.820810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.521472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.235639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.890166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.612725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.342475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:47.177467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.356704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:42.915165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.634757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.326862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.965815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.722550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.431621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:47.304176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.462294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.007081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.731974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.413140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.042382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.824874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.529347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:47.407344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.577618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.107214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.827112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.492415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.131040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.905021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.615442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:47.809496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.673095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.202061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.907576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.576478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.213035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.986188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.708368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:47.903757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.776105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.286823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.993259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.664855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.319254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.082119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.822113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.010329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.874168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.374063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.077554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.753365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.413203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.167857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.928644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.118923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.962337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:43.450669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.155560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:44.820623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:45.492253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:46.258963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:47.076875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:37:48.194285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:37:52.382547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동일반수급자 가구수일반수급자 수급권자수조건부수급자 가구수조건부수급자 수급권자수특례수급자 가구수특례수급자 수급권자수시설수급자 가구수시설수급자 수급권자수
읍면동1.0001.0001.0001.0001.0001.0001.0001.0001.000
일반수급자 가구수1.0001.0000.8790.7860.6690.7010.8610.0000.000
일반수급자 수급권자수1.0000.8791.0000.8820.8010.7990.7410.0000.000
조건부수급자 가구수1.0000.7860.8821.0000.9680.8050.8270.0000.000
조건부수급자 수급권자수1.0000.6690.8010.9681.0000.6360.7520.0000.000
특례수급자 가구수1.0000.7010.7990.8050.6361.0000.8980.0000.000
특례수급자 수급권자수1.0000.8610.7410.8270.7520.8981.0000.0000.000
시설수급자 가구수1.0000.0000.0000.0000.0000.0000.0001.0000.643
시설수급자 수급권자수1.0000.0000.0000.0000.0000.0000.0000.6431.000
2023-12-13T08:37:52.499293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일반수급자 가구수일반수급자 수급권자수조건부수급자 가구수조건부수급자 수급권자수특례수급자 가구수특례수급자 수급권자수시설수급자 가구수시설수급자 수급권자수
일반수급자 가구수1.0000.9880.8560.8660.8150.8020.2780.278
일반수급자 수급권자수0.9881.0000.8810.9020.8020.8110.2470.247
조건부수급자 가구수0.8560.8811.0000.9830.6610.6760.2060.206
조건부수급자 수급권자수0.8660.9020.9831.0000.6570.6810.1980.198
특례수급자 가구수0.8150.8020.6610.6571.0000.9650.3110.311
특례수급자 수급권자수0.8020.8110.6760.6810.9651.0000.2060.206
시설수급자 가구수0.2780.2470.2060.1980.3110.2061.0001.000
시설수급자 수급권자수0.2780.2470.2060.1980.3110.2061.0001.000

Missing values

2023-12-13T08:37:49.124515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:37:49.330247image/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

시도시군구읍면동일반수급자 가구수일반수급자 수급권자수조건부수급자 가구수조건부수급자 수급권자수특례수급자 가구수특례수급자 수급권자수시설수급자 가구수시설수급자 수급권자수데이터기준일자
0대전광역시서구서구4500008858852023-07-27
1대전광역시서구복수동32247110219911332023-07-27
2대전광역시서구도마1동69091815429322442023-07-27
3대전광역시서구도마2동6931000179343911332023-07-27
4대전광역시서구정림동3604876712145552023-07-27
5대전광역시서구변동66892516029824442023-07-27
6대전광역시서구용문동49465015126233332023-07-27
7대전광역시서구탄방동48467517128512002023-07-27
8대전광역시서구괴정동697104428751726002023-07-27
9대전광역시서구가장동242343509212002023-07-27
시도시군구읍면동일반수급자 가구수일반수급자 수급권자수조건부수급자 가구수조건부수급자 수급권자수특례수급자 가구수특례수급자 수급권자수시설수급자 가구수시설수급자 수급권자수데이터기준일자
15대전광역시서구월평3동6385102900002023-07-27
16대전광역시서구가수원동3114696213223002023-07-27
17대전광역시서구도안동1572775110100002023-07-27
18대전광역시서구관저1동171278234611002023-07-27
19대전광역시서구관저2동765112713725866112023-07-27
20대전광역시서구기성동1361598120034342023-07-27
21대전광역시서구둔산1동283481200002023-07-27
22대전광역시서구둔산2동123174295800002023-07-27
23대전광역시서구만년동128224315800002023-07-27
24대전광역시서구둔산3동70585911019322112023-07-27