Overview

Dataset statistics

Number of variables18
Number of observations341
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.7 KiB
Average record size in memory161.4 B

Variable types

Numeric17
Categorical1

Dataset

Description장애유형별 장애아동수당 수급자 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=M6X9AKG7XMV1UWP3NBK725721500&infSeq=1

Alerts

기준년도 is highly overall correlated with 합계(명) and 14 other fieldsHigh correlation
합계(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
지체수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
뇌병변수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
시각수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
청각수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
언어수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
안면수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
신장수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
심장수급자수(명) is highly overall correlated with 기준년도 and 13 other fieldsHigh correlation
간수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
호흡기수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
장루요루수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
뇌전증수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
지적수급자수(명) is highly overall correlated with 합계(명) and 7 other fieldsHigh correlation
정신수급자수(명) is highly overall correlated with 기준년도 and 14 other fieldsHigh correlation
자폐성수급자수(명) is highly overall correlated with 기준년도 and 5 other fieldsHigh correlation
지체수급자수(명) has 33 (9.7%) zerosZeros
뇌병변수급자수(명) has 9 (2.6%) zerosZeros
시각수급자수(명) has 68 (19.9%) zerosZeros
청각수급자수(명) has 40 (11.7%) zerosZeros
언어수급자수(명) has 62 (18.2%) zerosZeros
안면수급자수(명) has 211 (61.9%) zerosZeros
신장수급자수(명) has 175 (51.3%) zerosZeros
심장수급자수(명) has 169 (49.6%) zerosZeros
간수급자수(명) has 165 (48.4%) zerosZeros
호흡기수급자수(명) has 206 (60.4%) zerosZeros
장루요루수급자수(명) has 193 (56.6%) zerosZeros
뇌전증수급자수(명) has 171 (50.1%) zerosZeros
정신수급자수(명) has 203 (59.5%) zerosZeros
자폐성수급자수(명) has 66 (19.4%) zerosZeros

Reproduction

Analysis started2024-04-11 02:43:48.251594
Analysis finished2024-04-11 02:44:31.382355
Duration43.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:31.806609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12015
median2018
Q32021
95-th percentile2023
Maximum2023
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.1669247
Coefficient of variation (CV)0.0015693383
Kurtosis-1.2202754
Mean2018
Median Absolute Deviation (MAD)3
Skewness0
Sum688138
Variance10.029412
MonotonicityDecreasing
2024-04-11T11:44:31.945602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 31
9.1%
2022 31
9.1%
2021 31
9.1%
2020 31
9.1%
2019 31
9.1%
2018 31
9.1%
2017 31
9.1%
2016 31
9.1%
2015 31
9.1%
2014 31
9.1%
ValueCountFrequency (%)
2013 31
9.1%
2014 31
9.1%
2015 31
9.1%
2016 31
9.1%
2017 31
9.1%
2018 31
9.1%
2019 31
9.1%
2020 31
9.1%
2021 31
9.1%
2022 31
9.1%
ValueCountFrequency (%)
2023 31
9.1%
2022 31
9.1%
2021 31
9.1%
2020 31
9.1%
2019 31
9.1%
2018 31
9.1%
2017 31
9.1%
2016 31
9.1%
2015 31
9.1%
2014 31
9.1%

시군명
Categorical

Distinct31
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
가평군
 
11
고양시
 
11
과천시
 
11
광명시
 
11
광주시
 
11
Other values (26)
286 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시

Common Values

ValueCountFrequency (%)
가평군 11
 
3.2%
고양시 11
 
3.2%
과천시 11
 
3.2%
광명시 11
 
3.2%
광주시 11
 
3.2%
구리시 11
 
3.2%
군포시 11
 
3.2%
김포시 11
 
3.2%
남양주시 11
 
3.2%
동두천시 11
 
3.2%
Other values (21) 231
67.7%

Length

2024-04-11T11:44:32.122295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 11
 
3.2%
안양시 11
 
3.2%
하남시 11
 
3.2%
포천시 11
 
3.2%
평택시 11
 
3.2%
파주시 11
 
3.2%
이천시 11
 
3.2%
의정부시 11
 
3.2%
의왕시 11
 
3.2%
용인시 11
 
3.2%
Other values (21) 231
67.7%

합계(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct259
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean638.66276
Minimum8
Maximum3870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:32.288441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile24
Q171
median160
Q3917
95-th percentile3200
Maximum3870
Range3862
Interquartile range (IQR)846

Descriptive statistics

Standard deviation927.72776
Coefficient of variation (CV)1.4526098
Kurtosis3.1163863
Mean638.66276
Median Absolute Deviation (MAD)114
Skewness1.946761
Sum217784
Variance860678.8
MonotonicityNot monotonic
2024-04-11T11:44:32.496027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 4
 
1.2%
45 4
 
1.2%
22 4
 
1.2%
46 4
 
1.2%
71 3
 
0.9%
113 3
 
0.9%
142 3
 
0.9%
56 3
 
0.9%
27 3
 
0.9%
151 3
 
0.9%
Other values (249) 307
90.0%
ValueCountFrequency (%)
8 1
 
0.3%
11 2
0.6%
12 2
0.6%
13 2
0.6%
20 2
0.6%
21 3
0.9%
22 4
1.2%
23 1
 
0.3%
24 2
0.6%
27 3
0.9%
ValueCountFrequency (%)
3870 1
0.3%
3777 1
0.3%
3710 1
0.3%
3694 1
0.3%
3675 1
0.3%
3650 1
0.3%
3619 1
0.3%
3545 1
0.3%
3522 1
0.3%
3517 1
0.3%

지체수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct133
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.95894
Minimum0
Maximum1875
Zeros33
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:32.693315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q3425
95-th percentile1489
Maximum1875
Range1875
Interquartile range (IQR)423

Descriptive statistics

Standard deviation456.41846
Coefficient of variation (CV)1.6969819
Kurtosis3.0325173
Mean268.95894
Median Absolute Deviation (MAD)4
Skewness1.9256295
Sum91715
Variance208317.81
MonotonicityNot monotonic
2024-04-11T11:44:32.880522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 48
 
14.1%
2 37
 
10.9%
0 33
 
9.7%
3 31
 
9.1%
4 14
 
4.1%
5 14
 
4.1%
7 13
 
3.8%
6 11
 
3.2%
8 6
 
1.8%
9 5
 
1.5%
Other values (123) 129
37.8%
ValueCountFrequency (%)
0 33
9.7%
1 48
14.1%
2 37
10.9%
3 31
9.1%
4 14
 
4.1%
5 14
 
4.1%
6 11
 
3.2%
7 13
 
3.8%
8 6
 
1.8%
9 5
 
1.5%
ValueCountFrequency (%)
1875 1
0.3%
1874 1
0.3%
1837 1
0.3%
1823 1
0.3%
1763 1
0.3%
1739 1
0.3%
1714 1
0.3%
1681 1
0.3%
1675 1
0.3%
1671 1
0.3%

뇌병변수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct135
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.589443
Minimum0
Maximum438
Zeros9
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:33.073046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median17
Q395
95-th percentile348
Maximum438
Range438
Interquartile range (IQR)87

Descriptive statistics

Standard deviation103.51985
Coefficient of variation (CV)1.4875799
Kurtosis3.4544797
Mean69.589443
Median Absolute Deviation (MAD)13
Skewness2.0330427
Sum23730
Variance10716.36
MonotonicityNot monotonic
2024-04-11T11:44:33.255127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 18
 
5.3%
4 14
 
4.1%
8 14
 
4.1%
12 12
 
3.5%
14 12
 
3.5%
15 12
 
3.5%
9 11
 
3.2%
10 10
 
2.9%
0 9
 
2.6%
5 9
 
2.6%
Other values (125) 220
64.5%
ValueCountFrequency (%)
0 9
2.6%
1 6
 
1.8%
2 6
 
1.8%
3 18
5.3%
4 14
4.1%
5 9
2.6%
6 8
2.3%
7 7
 
2.1%
8 14
4.1%
9 11
3.2%
ValueCountFrequency (%)
438 2
0.6%
426 1
0.3%
417 1
0.3%
416 1
0.3%
414 1
0.3%
406 1
0.3%
404 1
0.3%
398 1
0.3%
393 1
0.3%
387 1
0.3%

시각수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct106
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.222874
Minimum0
Maximum392
Zeros68
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:33.443618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q378
95-th percentile271
Maximum392
Range392
Interquartile range (IQR)77

Descriptive statistics

Standard deviation83.756739
Coefficient of variation (CV)1.667701
Kurtosis3.2791315
Mean50.222874
Median Absolute Deviation (MAD)3
Skewness1.9641433
Sum17126
Variance7015.1914
MonotonicityNot monotonic
2024-04-11T11:44:33.636832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68
19.9%
3 51
15.0%
2 34
 
10.0%
1 34
 
10.0%
4 20
 
5.9%
5 7
 
2.1%
119 3
 
0.9%
51 3
 
0.9%
82 3
 
0.9%
95 3
 
0.9%
Other values (96) 115
33.7%
ValueCountFrequency (%)
0 68
19.9%
1 34
10.0%
2 34
10.0%
3 51
15.0%
4 20
 
5.9%
5 7
 
2.1%
6 1
 
0.3%
8 1
 
0.3%
11 1
 
0.3%
17 1
 
0.3%
ValueCountFrequency (%)
392 1
0.3%
376 1
0.3%
334 1
0.3%
327 1
0.3%
316 1
0.3%
311 1
0.3%
306 1
0.3%
304 1
0.3%
300 1
0.3%
296 1
0.3%

청각수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct105
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.252199
Minimum0
Maximum390
Zeros40
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:33.842793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q389
95-th percentile253
Maximum390
Range390
Interquartile range (IQR)88

Descriptive statistics

Standard deviation81.816263
Coefficient of variation (CV)1.5657956
Kurtosis2.6724215
Mean52.252199
Median Absolute Deviation (MAD)4
Skewness1.8044401
Sum17818
Variance6693.9009
MonotonicityNot monotonic
2024-04-11T11:44:34.033110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 48
 
14.1%
0 40
 
11.7%
2 30
 
8.8%
3 24
 
7.0%
5 21
 
6.2%
4 15
 
4.4%
7 14
 
4.1%
6 13
 
3.8%
8 5
 
1.5%
9 4
 
1.2%
Other values (95) 127
37.2%
ValueCountFrequency (%)
0 40
11.7%
1 48
14.1%
2 30
8.8%
3 24
7.0%
4 15
 
4.4%
5 21
6.2%
6 13
 
3.8%
7 14
 
4.1%
8 5
 
1.5%
9 4
 
1.2%
ValueCountFrequency (%)
390 1
0.3%
329 1
0.3%
315 1
0.3%
314 1
0.3%
313 1
0.3%
311 1
0.3%
309 1
0.3%
304 1
0.3%
300 1
0.3%
290 1
0.3%

언어수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.340176
Minimum0
Maximum47
Zeros62
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:34.220468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q39
95-th percentile34
Maximum47
Range47
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.6370211
Coefficient of variation (CV)1.3129142
Kurtosis5.3008754
Mean7.340176
Median Absolute Deviation (MAD)3
Skewness2.2943413
Sum2503
Variance92.872175
MonotonicityNot monotonic
2024-04-11T11:44:34.397629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 62
18.2%
2 35
10.3%
1 31
 
9.1%
4 29
 
8.5%
6 24
 
7.0%
5 24
 
7.0%
3 22
 
6.5%
7 12
 
3.5%
13 10
 
2.9%
8 10
 
2.9%
Other values (25) 82
24.0%
ValueCountFrequency (%)
0 62
18.2%
1 31
9.1%
2 35
10.3%
3 22
 
6.5%
4 29
8.5%
5 24
 
7.0%
6 24
 
7.0%
7 12
 
3.5%
8 10
 
2.9%
9 7
 
2.1%
ValueCountFrequency (%)
47 1
 
0.3%
46 1
 
0.3%
43 3
0.9%
42 1
 
0.3%
41 4
1.2%
40 3
0.9%
36 2
0.6%
35 2
0.6%
34 1
 
0.3%
31 1
 
0.3%

안면수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7829912
Minimum0
Maximum6
Zeros211
Zeros (%)61.9%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:34.545478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2947193
Coefficient of variation (CV)1.6535554
Kurtosis3.1034237
Mean0.7829912
Median Absolute Deviation (MAD)0
Skewness1.9064315
Sum267
Variance1.6762981
MonotonicityNot monotonic
2024-04-11T11:44:34.689786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 211
61.9%
1 63
 
18.5%
2 32
 
9.4%
3 13
 
3.8%
5 11
 
3.2%
4 10
 
2.9%
6 1
 
0.3%
ValueCountFrequency (%)
0 211
61.9%
1 63
 
18.5%
2 32
 
9.4%
3 13
 
3.8%
4 10
 
2.9%
5 11
 
3.2%
6 1
 
0.3%
ValueCountFrequency (%)
6 1
 
0.3%
5 11
 
3.2%
4 10
 
2.9%
3 13
 
3.8%
2 32
 
9.4%
1 63
 
18.5%
0 211
61.9%

신장수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct34
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3255132
Minimum0
Maximum37
Zeros175
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:34.851291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile22
Maximum37
Range37
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.4830923
Coefficient of variation (CV)1.7299895
Kurtosis4.7464594
Mean4.3255132
Median Absolute Deviation (MAD)0
Skewness2.2052262
Sum1475
Variance55.996671
MonotonicityNot monotonic
2024-04-11T11:44:35.034544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 175
51.3%
1 42
 
12.3%
6 13
 
3.8%
5 12
 
3.5%
10 11
 
3.2%
8 9
 
2.6%
2 8
 
2.3%
3 7
 
2.1%
4 6
 
1.8%
14 6
 
1.8%
Other values (24) 52
 
15.2%
ValueCountFrequency (%)
0 175
51.3%
1 42
 
12.3%
2 8
 
2.3%
3 7
 
2.1%
4 6
 
1.8%
5 12
 
3.5%
6 13
 
3.8%
7 3
 
0.9%
8 9
 
2.6%
9 5
 
1.5%
ValueCountFrequency (%)
37 1
 
0.3%
36 1
 
0.3%
35 1
 
0.3%
32 3
0.9%
31 1
 
0.3%
29 2
0.6%
28 1
 
0.3%
26 1
 
0.3%
25 1
 
0.3%
24 1
 
0.3%

심장수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7536657
Minimum0
Maximum26
Zeros169
Zeros (%)49.6%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:35.219521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.2599657
Coefficient of variation (CV)1.8589436
Kurtosis21.279261
Mean1.7536657
Median Absolute Deviation (MAD)1
Skewness3.9272982
Sum598
Variance10.627376
MonotonicityNot monotonic
2024-04-11T11:44:35.357210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 169
49.6%
1 68
19.9%
2 24
 
7.0%
3 22
 
6.5%
4 17
 
5.0%
5 10
 
2.9%
6 10
 
2.9%
8 5
 
1.5%
7 4
 
1.2%
9 4
 
1.2%
Other values (5) 8
 
2.3%
ValueCountFrequency (%)
0 169
49.6%
1 68
19.9%
2 24
 
7.0%
3 22
 
6.5%
4 17
 
5.0%
5 10
 
2.9%
6 10
 
2.9%
7 4
 
1.2%
8 5
 
1.5%
9 4
 
1.2%
ValueCountFrequency (%)
26 1
 
0.3%
23 2
 
0.6%
20 1
 
0.3%
12 1
 
0.3%
10 3
 
0.9%
9 4
 
1.2%
8 5
1.5%
7 4
 
1.2%
6 10
2.9%
5 10
2.9%

간수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0351906
Minimum0
Maximum20
Zeros165
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:35.504277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile10
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.4783269
Coefficient of variation (CV)1.7090915
Kurtosis5.9872853
Mean2.0351906
Median Absolute Deviation (MAD)1
Skewness2.4184915
Sum694
Variance12.098758
MonotonicityNot monotonic
2024-04-11T11:44:35.659370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 165
48.4%
1 64
 
18.8%
2 35
 
10.3%
4 16
 
4.7%
5 15
 
4.4%
3 9
 
2.6%
10 7
 
2.1%
7 5
 
1.5%
13 4
 
1.2%
12 3
 
0.9%
Other values (8) 18
 
5.3%
ValueCountFrequency (%)
0 165
48.4%
1 64
 
18.8%
2 35
 
10.3%
3 9
 
2.6%
4 16
 
4.7%
5 15
 
4.4%
6 3
 
0.9%
7 5
 
1.5%
8 3
 
0.9%
9 3
 
0.9%
ValueCountFrequency (%)
20 1
 
0.3%
17 1
 
0.3%
16 2
 
0.6%
15 2
 
0.6%
13 4
1.2%
12 3
0.9%
11 3
0.9%
10 7
2.1%
9 3
0.9%
8 3
0.9%

호흡기수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9912023
Minimum0
Maximum29
Zeros206
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:36.180519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile15
Maximum29
Range29
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.4753387
Coefficient of variation (CV)1.8304809
Kurtosis5.2460448
Mean2.9912023
Median Absolute Deviation (MAD)0
Skewness2.2939427
Sum1020
Variance29.979334
MonotonicityNot monotonic
2024-04-11T11:44:36.317302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 206
60.4%
1 21
 
6.2%
5 15
 
4.4%
3 13
 
3.8%
4 12
 
3.5%
2 9
 
2.6%
7 8
 
2.3%
8 7
 
2.1%
6 6
 
1.8%
9 6
 
1.8%
Other values (17) 38
 
11.1%
ValueCountFrequency (%)
0 206
60.4%
1 21
 
6.2%
2 9
 
2.6%
3 13
 
3.8%
4 12
 
3.5%
5 15
 
4.4%
6 6
 
1.8%
7 8
 
2.3%
8 7
 
2.1%
9 6
 
1.8%
ValueCountFrequency (%)
29 1
 
0.3%
28 1
 
0.3%
25 1
 
0.3%
23 3
0.9%
22 1
 
0.3%
21 1
 
0.3%
20 1
 
0.3%
19 3
0.9%
18 1
 
0.3%
17 1
 
0.3%

장루요루수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0029326
Minimum0
Maximum39
Zeros193
Zeros (%)56.6%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:36.463930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile17
Maximum39
Range39
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.0945292
Coefficient of variation (CV)1.7723329
Kurtosis6.6395516
Mean4.0029326
Median Absolute Deviation (MAD)0
Skewness2.4558479
Sum1365
Variance50.332344
MonotonicityNot monotonic
2024-04-11T11:44:36.663302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 193
56.6%
1 24
 
7.0%
6 18
 
5.3%
7 16
 
4.7%
5 11
 
3.2%
2 7
 
2.1%
8 7
 
2.1%
16 6
 
1.8%
9 6
 
1.8%
12 5
 
1.5%
Other values (21) 48
 
14.1%
ValueCountFrequency (%)
0 193
56.6%
1 24
 
7.0%
2 7
 
2.1%
3 4
 
1.2%
4 5
 
1.5%
5 11
 
3.2%
6 18
 
5.3%
7 16
 
4.7%
8 7
 
2.1%
9 6
 
1.8%
ValueCountFrequency (%)
39 1
 
0.3%
36 1
 
0.3%
35 1
 
0.3%
34 1
 
0.3%
33 1
 
0.3%
32 2
0.6%
27 3
0.9%
25 1
 
0.3%
24 1
 
0.3%
23 1
 
0.3%

뇌전증수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct34
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1348974
Minimum0
Maximum46
Zeros171
Zeros (%)50.1%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:36.837709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile34
Maximum46
Range46
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.385764
Coefficient of variation (CV)1.6928995
Kurtosis3.7499463
Mean6.1348974
Median Absolute Deviation (MAD)0
Skewness2.0483575
Sum2092
Variance107.8641
MonotonicityNot monotonic
2024-04-11T11:44:37.002110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 171
50.1%
1 42
 
12.3%
11 12
 
3.5%
2 10
 
2.9%
13 10
 
2.9%
12 7
 
2.1%
5 7
 
2.1%
14 7
 
2.1%
15 7
 
2.1%
10 6
 
1.8%
Other values (24) 62
 
18.2%
ValueCountFrequency (%)
0 171
50.1%
1 42
 
12.3%
2 10
 
2.9%
3 2
 
0.6%
4 3
 
0.9%
5 7
 
2.1%
6 3
 
0.9%
7 2
 
0.6%
8 3
 
0.9%
9 5
 
1.5%
ValueCountFrequency (%)
46 1
 
0.3%
43 4
1.2%
42 1
 
0.3%
40 2
0.6%
39 3
0.9%
38 2
0.6%
36 4
1.2%
34 3
0.9%
25 2
0.6%
24 2
0.6%

지적수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct153
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.961877
Minimum6
Maximum253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:37.172735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile16
Q139
median73
Q3111
95-th percentile198
Maximum253
Range247
Interquartile range (IQR)72

Descriptive statistics

Standard deviation54.572523
Coefficient of variation (CV)0.64996788
Kurtosis0.69126156
Mean83.961877
Median Absolute Deviation (MAD)36
Skewness0.99278035
Sum28631
Variance2978.1603
MonotonicityNot monotonic
2024-04-11T11:44:37.362713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 8
 
2.3%
110 8
 
2.3%
90 6
 
1.8%
36 6
 
1.8%
66 6
 
1.8%
68 5
 
1.5%
15 5
 
1.5%
85 5
 
1.5%
39 5
 
1.5%
65 5
 
1.5%
Other values (143) 282
82.7%
ValueCountFrequency (%)
6 2
 
0.6%
7 4
1.2%
8 3
0.9%
9 1
 
0.3%
10 1
 
0.3%
14 1
 
0.3%
15 5
1.5%
16 3
0.9%
17 2
 
0.6%
19 2
 
0.6%
ValueCountFrequency (%)
253 1
0.3%
251 1
0.3%
250 1
0.3%
238 1
0.3%
237 1
0.3%
235 1
0.3%
232 1
0.3%
231 1
0.3%
226 1
0.3%
222 1
0.3%

정신수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct112
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.997067
Minimum0
Maximum581
Zeros203
Zeros (%)59.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:37.539645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3121
95-th percentile374
Maximum581
Range581
Interquartile range (IQR)121

Descriptive statistics

Standard deviation130.30578
Coefficient of variation (CV)1.7146159
Kurtosis2.9601647
Mean75.997067
Median Absolute Deviation (MAD)0
Skewness1.897515
Sum25915
Variance16979.597
MonotonicityNot monotonic
2024-04-11T11:44:37.721627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 203
59.5%
1 13
 
3.8%
193 3
 
0.9%
84 3
 
0.9%
277 3
 
0.9%
138 2
 
0.6%
75 2
 
0.6%
217 2
 
0.6%
133 2
 
0.6%
114 2
 
0.6%
Other values (102) 106
31.1%
ValueCountFrequency (%)
0 203
59.5%
1 13
 
3.8%
2 1
 
0.3%
20 1
 
0.3%
21 1
 
0.3%
23 1
 
0.3%
27 1
 
0.3%
48 1
 
0.3%
49 1
 
0.3%
50 1
 
0.3%
ValueCountFrequency (%)
581 1
0.3%
551 1
0.3%
529 1
0.3%
521 1
0.3%
511 1
0.3%
508 1
0.3%
506 1
0.3%
486 1
0.3%
472 1
0.3%
470 1
0.3%

자폐성수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct39
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1876833
Minimum0
Maximum49
Zeros66
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T11:44:37.894574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q311
95-th percentile27
Maximum49
Range49
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.4591985
Coefficient of variation (CV)1.1552961
Kurtosis2.1660245
Mean8.1876833
Median Absolute Deviation (MAD)5
Skewness1.5349095
Sum2792
Variance89.476436
MonotonicityNot monotonic
2024-04-11T11:44:38.073465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 66
19.4%
1 37
 
10.9%
2 31
 
9.1%
6 23
 
6.7%
4 22
 
6.5%
5 15
 
4.4%
11 15
 
4.4%
10 14
 
4.1%
3 11
 
3.2%
8 10
 
2.9%
Other values (29) 97
28.4%
ValueCountFrequency (%)
0 66
19.4%
1 37
10.9%
2 31
9.1%
3 11
 
3.2%
4 22
 
6.5%
5 15
 
4.4%
6 23
 
6.7%
7 4
 
1.2%
8 10
 
2.9%
9 8
 
2.3%
ValueCountFrequency (%)
49 1
0.3%
43 1
0.3%
42 2
0.6%
39 1
0.3%
37 1
0.3%
36 1
0.3%
35 1
0.3%
32 1
0.3%
31 2
0.6%
30 2
0.6%

Interactions

2024-04-11T11:44:28.798754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:51.179888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:53.477748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:55.798271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:58.349586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:00.510702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:03.132136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:05.394898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:07.786951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:09.912493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:12.450855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:14.567366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:17.175376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:19.339245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:21.983830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:24.114353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:26.271577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:28.909946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:51.515305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:53.602774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:55.927357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:58.456486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:00.630406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:03.266255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:05.497288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:07.896202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:10.037388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:12.555344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:14.698254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:17.292070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:19.469121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:22.087606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:24.235581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:26.387473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:29.043047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:51.636782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:53.736634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:56.371554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:58.606404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:00.765687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:03.417255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:05.975459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:08.028904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:10.186460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:12.694842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:14.845711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:17.423813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:19.607155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:22.228906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:24.364815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:26.874821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-04-11T11:44:18.972885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:21.565842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:23.744035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:25.889523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:28.437125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:30.644654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:53.245952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:55.547512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:58.100301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:00.272107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:02.853653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:05.133034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:07.549434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:09.675874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:12.203046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:14.322707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:16.914106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:19.090643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:21.716686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:23.860060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:26.012471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:28.554610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:30.770403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:53.368287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:55.678440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:43:58.220854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:00.397293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:02.995092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:05.262740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:07.674745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:09.786115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:12.324502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:14.450222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:17.046525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:19.224663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:21.853025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:23.992837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:26.153921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:44:28.677432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:44:38.238258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명합계(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)안면수급자수(명)신장수급자수(명)심장수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)지적수급자수(명)정신수급자수(명)자폐성수급자수(명)
기준년도1.0000.0000.7350.7130.7390.6970.7280.6450.4300.7050.4630.6280.6710.5830.5660.2340.7040.589
시군명0.0001.0000.7300.7670.6980.7400.6840.6800.5960.6270.5240.5500.7080.5700.6420.8390.6920.701
합계(명)0.7350.7301.0000.9850.9700.9660.9630.9180.7670.9180.7190.9040.8990.8280.8180.8070.9380.520
지체수급자수(명)0.7130.7670.9851.0000.9660.9650.9590.9210.7210.9200.7390.8860.9120.8270.8160.7800.9360.510
뇌병변수급자수(명)0.7390.6980.9700.9661.0000.9640.9490.9290.7110.9160.6830.8770.9050.8310.8160.8040.9330.511
시각수급자수(명)0.6970.7400.9660.9650.9641.0000.9630.9300.7840.9390.8070.8810.9370.8730.8150.7950.9300.510
청각수급자수(명)0.7280.6840.9630.9590.9490.9631.0000.9250.7590.9270.6990.9290.9170.8430.8140.7780.9200.507
언어수급자수(명)0.6450.6800.9180.9210.9290.9300.9251.0000.7280.8990.7040.8560.9030.7640.7860.8420.8870.431
안면수급자수(명)0.4300.5960.7670.7210.7110.7840.7590.7281.0000.7570.6750.7160.7360.7540.6940.6120.7200.242
신장수급자수(명)0.7050.6270.9180.9200.9160.9390.9270.8990.7571.0000.8000.9120.9240.8200.8340.7720.9220.449
심장수급자수(명)0.4630.5240.7190.7390.6830.8070.6990.7040.6750.8001.0000.7370.7910.7650.7120.5670.6940.210
간수급자수(명)0.6280.5500.9040.8860.8770.8810.9290.8560.7160.9120.7371.0000.9030.7820.7670.7490.8930.416
호흡기수급자수(명)0.6710.7080.8990.9120.9050.9370.9170.9030.7360.9240.7910.9031.0000.8190.8140.8070.9260.431
장루요루수급자수(명)0.5830.5700.8280.8270.8310.8730.8430.7640.7540.8200.7650.7820.8191.0000.8880.5930.7950.397
뇌전증수급자수(명)0.5660.6420.8180.8160.8160.8150.8140.7860.6940.8340.7120.7670.8140.8881.0000.6270.8530.379
지적수급자수(명)0.2340.8390.8070.7800.8040.7950.7780.8420.6120.7720.5670.7490.8070.5930.6271.0000.8320.643
정신수급자수(명)0.7040.6920.9380.9360.9330.9300.9200.8870.7200.9220.6940.8930.9260.7950.8530.8321.0000.485
자폐성수급자수(명)0.5890.7010.5200.5100.5110.5100.5070.4310.2420.4490.2100.4160.4310.3970.3790.6430.4851.000
2024-04-11T11:44:38.490384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도합계(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)안면수급자수(명)신장수급자수(명)심장수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)지적수급자수(명)정신수급자수(명)자폐성수급자수(명)시군명
기준년도1.000-0.698-0.735-0.741-0.740-0.706-0.539-0.566-0.760-0.652-0.637-0.754-0.781-0.728-0.283-0.7770.7050.000
합계(명)-0.6981.0000.9330.9610.8800.9210.8800.7040.8320.7570.7920.7980.8580.8280.7750.861-0.3690.345
지체수급자수(명)-0.7350.9331.0000.9030.8620.8980.8150.6900.8340.7700.7880.7910.8430.8180.6550.844-0.4460.381
뇌병변수급자수(명)-0.7410.9610.9031.0000.8650.8730.8340.6820.8270.7260.7740.8000.8520.8140.7090.858-0.4210.318
시각수급자수(명)-0.7400.8800.8620.8651.0000.7970.7650.6430.8350.7450.8070.8120.8590.7740.5680.855-0.4900.354
청각수급자수(명)-0.7060.9210.8980.8730.7971.0000.8180.6790.8220.7740.7350.7920.8350.8350.6490.864-0.4630.307
언어수급자수(명)-0.5390.8800.8150.8340.7650.8181.0000.6620.7250.7020.7610.7280.7710.7520.7210.773-0.3170.304
안면수급자수(명)-0.5660.7040.6900.6820.6430.6790.6621.0000.6610.5350.5690.6620.6640.6880.5250.688-0.3710.285
신장수급자수(명)-0.7600.8320.8340.8270.8350.8220.7250.6611.0000.7440.7400.8660.8410.8310.4830.885-0.5850.266
심장수급자수(명)-0.6520.7570.7700.7260.7450.7740.7020.5350.7441.0000.6400.7490.7440.7560.4830.737-0.4920.225
간수급자수(명)-0.6370.7920.7880.7740.8070.7350.7610.5690.7400.6401.0000.7900.8200.7400.5130.808-0.4620.223
호흡기수급자수(명)-0.7540.7980.7910.8000.8120.7920.7280.6620.8660.7490.7901.0000.8860.8710.4220.904-0.6760.326
장루요루수급자수(명)-0.7810.8580.8430.8520.8590.8350.7710.6640.8410.7440.8200.8861.0000.8580.4760.918-0.6370.243
뇌전증수급자수(명)-0.7280.8280.8180.8140.7740.8350.7520.6880.8310.7560.7400.8710.8581.0000.4720.872-0.6380.288
지적수급자수(명)-0.2830.7750.6550.7090.5680.6490.7210.5250.4830.4830.5130.4220.4760.4721.0000.4750.1530.470
정신수급자수(명)-0.7770.8610.8440.8580.8550.8640.7730.6880.8850.7370.8080.9040.9180.8720.4751.000-0.6610.313
자폐성수급자수(명)0.705-0.369-0.446-0.421-0.490-0.463-0.317-0.371-0.585-0.492-0.462-0.676-0.637-0.6380.153-0.6611.0000.320
시군명0.0000.3450.3810.3180.3540.3070.3040.2850.2660.2250.2230.3260.2430.2880.4700.3130.3201.000

Missing values

2024-04-11T11:44:30.945226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:44:31.255940image/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

기준년도시군명합계(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)안면수급자수(명)신장수급자수(명)심장수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)지적수급자수(명)정신수급자수(명)자폐성수급자수(명)
02023가평군291001100000002105
12023고양시2105162550001000127049
22023과천시8000000000000701
32023광명시520332100100013605
42023광주시108111226000100065020
52023구리시410201000001003106
62023군포시6316012000000039014
72023김포시115713322010100168017
82023남양주시1677140462000002111021
92023동두천시482602300000003203
기준년도시군명합계(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)안면수급자수(명)신장수급자수(명)심장수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)지적수급자수(명)정신수급자수(명)자폐성수급자수(명)
3312013오산시671255665854904143711461530
3322013용인시15316411531251332041445710131162842
3332013의왕시4481904532472063232734750
3342013의정부시2271115226819617823216411113151112792
3352013이천시102148810664114813146129901150
3362013파주시175786820114916419111451516251101672
3372013평택시195399218118616414212961313171272170
3382013포천시129465313810911411351549101071250
3392013하남시6653436949656051155540701
3402013화성시14536151531191087381786141292750