Overview

Dataset statistics

Number of variables19
Number of observations341
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory56.7 KiB
Average record size in memory170.4 B

Variable types

Numeric18
Categorical1

Dataset

Description장애유형별 장애인 연금 수급자
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=0RFME9J438JT07NOF2OT25495584&infSeq=1

Alerts

기준년도 is highly overall correlated with 언어수급자수(명) and 2 other fieldsHigh correlation
전체수급자수(명) is highly overall correlated with 지체수급자수(명) and 13 other fieldsHigh correlation
지체수급자수(명) is highly overall correlated with 전체수급자수(명) and 12 other fieldsHigh correlation
뇌병변수급자수(명) is highly overall correlated with 전체수급자수(명) and 12 other fieldsHigh correlation
시각수급자수(명) is highly overall correlated with 전체수급자수(명) and 12 other fieldsHigh correlation
청각수급자수(명) is highly overall correlated with 전체수급자수(명) and 13 other fieldsHigh correlation
언어수급자수(명) is highly overall correlated with 기준년도 and 1 other fieldsHigh correlation
안면수급자수(명) is highly overall correlated with 전체수급자수(명) and 10 other fieldsHigh correlation
신장수급자수(명) is highly overall correlated with 전체수급자수(명) and 13 other fieldsHigh correlation
심장수급자수(명) is highly overall correlated with 전체수급자수(명) and 9 other fieldsHigh correlation
호흡기수급자수(명) is highly overall correlated with 전체수급자수(명) and 12 other fieldsHigh correlation
장루요루수급자수(명) is highly overall correlated with 전체수급자수(명) and 8 other fieldsHigh correlation
뇌전증수급자수(명) is highly overall correlated with 전체수급자수(명) and 9 other fieldsHigh correlation
지적수급자수(명) is highly overall correlated with 기준년도 and 5 other fieldsHigh correlation
정신수급자수(명) is highly overall correlated with 전체수급자수(명) and 12 other fieldsHigh correlation
자폐성수급자수(명) is highly overall correlated with 전체수급자수(명) and 11 other fieldsHigh correlation
기타수급자수(명) is highly overall correlated with 기준년도High correlation
시군명 is highly overall correlated with 전체수급자수(명) and 8 other fieldsHigh correlation
안면수급자수(명) has 105 (30.8%) zerosZeros
심장수급자수(명) has 42 (12.3%) zerosZeros
간수급자수(명) has 102 (29.9%) zerosZeros
장루요루수급자수(명) has 186 (54.5%) zerosZeros
뇌전증수급자수(명) has 68 (19.9%) zerosZeros
지적수급자수(명) has 4 (1.2%) zerosZeros
기타수급자수(명) has 283 (83.0%) zerosZeros

Reproduction

Analysis started2024-04-11 04:49:27.719898
Analysis finished2024-04-11 04:49:54.575538
Duration26.86 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
2024-04-11T13:49:54.620974image/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
2024-04-11T13:49:54.703834image/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

HIGH CORRELATION 

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

2024-04-11T13:49:54.794283image/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%

전체수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct325
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2170.2933
Minimum157
Maximum5799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:54.887809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157
5-th percentile498
Q11116
median1622
Q32914
95-th percentile4975
Maximum5799
Range5642
Interquartile range (IQR)1798

Descriptive statistics

Standard deviation1400.3257
Coefficient of variation (CV)0.64522419
Kurtosis-0.17856075
Mean2170.2933
Median Absolute Deviation (MAD)693
Skewness0.89273334
Sum740070
Variance1960912.1
MonotonicityNot monotonic
2024-04-11T13:49:54.991220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1025 3
 
0.9%
1482 2
 
0.6%
1029 2
 
0.6%
488 2
 
0.6%
1544 2
 
0.6%
1549 2
 
0.6%
1275 2
 
0.6%
755 2
 
0.6%
1585 2
 
0.6%
2550 2
 
0.6%
Other values (315) 320
93.8%
ValueCountFrequency (%)
157 1
0.3%
184 1
0.3%
206 1
0.3%
213 1
0.3%
214 1
0.3%
219 1
0.3%
222 1
0.3%
223 1
0.3%
231 1
0.3%
232 1
0.3%
ValueCountFrequency (%)
5799 1
0.3%
5790 1
0.3%
5634 1
0.3%
5615 1
0.3%
5575 1
0.3%
5543 1
0.3%
5520 1
0.3%
5509 1
0.3%
5481 1
0.3%
5424 1
0.3%

지체수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct255
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean324.29032
Minimum19
Maximum908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:55.098553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile98
Q1170
median259
Q3439
95-th percentile715
Maximum908
Range889
Interquartile range (IQR)269

Descriptive statistics

Standard deviation201.8461
Coefficient of variation (CV)0.62242406
Kurtosis-0.34161035
Mean324.29032
Median Absolute Deviation (MAD)120
Skewness0.78644147
Sum110583
Variance40741.848
MonotonicityNot monotonic
2024-04-11T13:49:55.213500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148 5
 
1.5%
247 5
 
1.5%
224 4
 
1.2%
139 4
 
1.2%
237 4
 
1.2%
219 3
 
0.9%
178 3
 
0.9%
226 3
 
0.9%
429 3
 
0.9%
24 3
 
0.9%
Other values (245) 304
89.1%
ValueCountFrequency (%)
19 1
 
0.3%
20 1
 
0.3%
21 3
0.9%
24 3
0.9%
28 1
 
0.3%
29 1
 
0.3%
31 1
 
0.3%
78 1
 
0.3%
87 1
 
0.3%
91 1
 
0.3%
ValueCountFrequency (%)
908 1
0.3%
843 1
0.3%
834 1
0.3%
821 1
0.3%
804 1
0.3%
791 1
0.3%
785 1
0.3%
761 1
0.3%
759 1
0.3%
756 1
0.3%

뇌병변수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct255
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410.84164
Minimum35
Maximum1181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:55.322967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile83
Q1206
median291
Q3584
95-th percentile971
Maximum1181
Range1146
Interquartile range (IQR)378

Descriptive statistics

Standard deviation276.91227
Coefficient of variation (CV)0.67401217
Kurtosis-0.19139658
Mean410.84164
Median Absolute Deviation (MAD)139
Skewness0.88982714
Sum140097
Variance76680.404
MonotonicityNot monotonic
2024-04-11T13:49:55.446086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
236 5
 
1.5%
233 4
 
1.2%
223 3
 
0.9%
550 3
 
0.9%
159 3
 
0.9%
274 3
 
0.9%
142 3
 
0.9%
152 3
 
0.9%
269 3
 
0.9%
205 3
 
0.9%
Other values (245) 308
90.3%
ValueCountFrequency (%)
35 2
0.6%
36 1
0.3%
37 2
0.6%
38 1
0.3%
43 1
0.3%
44 2
0.6%
51 2
0.6%
67 2
0.6%
68 1
0.3%
69 1
0.3%
ValueCountFrequency (%)
1181 1
0.3%
1141 1
0.3%
1121 2
0.6%
1088 1
0.3%
1079 2
0.6%
1067 1
0.3%
1055 1
0.3%
1051 1
0.3%
1044 1
0.3%
1037 1
0.3%

시각수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct194
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.85924
Minimum8
Maximum397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:55.720896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile45
Q171
median117
Q3214
95-th percentile361
Maximum397
Range389
Interquartile range (IQR)143

Descriptive statistics

Standard deviation100.56788
Coefficient of variation (CV)0.65791167
Kurtosis-0.39771115
Mean152.85924
Median Absolute Deviation (MAD)58
Skewness0.82786671
Sum52125
Variance10113.898
MonotonicityNot monotonic
2024-04-11T13:49:55.836159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 7
 
2.1%
49 6
 
1.8%
60 5
 
1.5%
112 5
 
1.5%
111 5
 
1.5%
120 5
 
1.5%
117 4
 
1.2%
103 4
 
1.2%
91 4
 
1.2%
12 4
 
1.2%
Other values (184) 292
85.6%
ValueCountFrequency (%)
8 1
 
0.3%
10 2
0.6%
11 3
0.9%
12 4
1.2%
14 1
 
0.3%
42 1
 
0.3%
44 3
0.9%
45 4
1.2%
47 3
0.9%
48 2
0.6%
ValueCountFrequency (%)
397 1
0.3%
392 1
0.3%
391 1
0.3%
386 1
0.3%
380 1
0.3%
379 1
0.3%
378 2
0.6%
377 1
0.3%
375 2
0.6%
374 2
0.6%

청각수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct226
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.74194
Minimum19
Maximum489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:55.951452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile48
Q192
median153
Q3252
95-th percentile431
Maximum489
Range470
Interquartile range (IQR)160

Descriptive statistics

Standard deviation122.63326
Coefficient of variation (CV)0.66380844
Kurtosis-0.2540759
Mean184.74194
Median Absolute Deviation (MAD)78
Skewness0.86787718
Sum62997
Variance15038.916
MonotonicityNot monotonic
2024-04-11T13:49:56.062812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 6
 
1.8%
103 5
 
1.5%
62 5
 
1.5%
102 4
 
1.2%
125 4
 
1.2%
191 3
 
0.9%
55 3
 
0.9%
89 3
 
0.9%
111 3
 
0.9%
61 3
 
0.9%
Other values (216) 302
88.6%
ValueCountFrequency (%)
19 1
0.3%
21 2
0.6%
22 2
0.6%
23 1
0.3%
24 2
0.6%
25 2
0.6%
26 1
0.3%
27 1
0.3%
33 1
0.3%
41 1
0.3%
ValueCountFrequency (%)
489 1
0.3%
484 1
0.3%
480 1
0.3%
476 1
0.3%
474 1
0.3%
472 2
0.6%
470 1
0.3%
464 1
0.3%
462 1
0.3%
459 2
0.6%

언어수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct173
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.79179
Minimum0
Maximum1231
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:56.180731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median34
Q3364
95-th percentile824
Maximum1231
Range1231
Interquartile range (IQR)352

Descriptive statistics

Standard deviation281.50372
Coefficient of variation (CV)1.3291531
Kurtosis1.4135245
Mean211.79179
Median Absolute Deviation (MAD)30
Skewness1.4553267
Sum72221
Variance79244.342
MonotonicityNot monotonic
2024-04-11T13:49:56.299258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 15
 
4.4%
5 10
 
2.9%
15 10
 
2.9%
11 9
 
2.6%
4 8
 
2.3%
2 8
 
2.3%
13 8
 
2.3%
14 8
 
2.3%
10 8
 
2.3%
9 7
 
2.1%
Other values (163) 250
73.3%
ValueCountFrequency (%)
0 1
 
0.3%
1 4
 
1.2%
2 8
2.3%
3 6
1.8%
4 8
2.3%
5 10
2.9%
6 4
 
1.2%
7 6
1.8%
8 3
 
0.9%
9 7
2.1%
ValueCountFrequency (%)
1231 1
0.3%
1187 1
0.3%
1131 1
0.3%
1109 1
0.3%
1076 1
0.3%
1072 1
0.3%
1019 2
0.6%
979 1
0.3%
938 1
0.3%
924 1
0.3%

안면수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6832845
Minimum0
Maximum7
Zeros105
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:56.386740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7369638
Coefficient of variation (CV)1.0318897
Kurtosis0.47772106
Mean1.6832845
Median Absolute Deviation (MAD)1
Skewness1.0983283
Sum574
Variance3.0170433
MonotonicityNot monotonic
2024-04-11T13:49:56.473969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 105
30.8%
1 86
25.2%
2 70
20.5%
3 26
 
7.6%
5 24
 
7.0%
4 17
 
5.0%
6 9
 
2.6%
7 4
 
1.2%
ValueCountFrequency (%)
0 105
30.8%
1 86
25.2%
2 70
20.5%
3 26
 
7.6%
4 17
 
5.0%
5 24
 
7.0%
6 9
 
2.6%
7 4
 
1.2%
ValueCountFrequency (%)
7 4
 
1.2%
6 9
 
2.6%
5 24
 
7.0%
4 17
 
5.0%
3 26
 
7.6%
2 70
20.5%
1 86
25.2%
0 105
30.8%

신장수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct274
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.46921
Minimum12
Maximum913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:56.575931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile46
Q1121
median219
Q3413
95-th percentile778
Maximum913
Range901
Interquartile range (IQR)292

Descriptive statistics

Standard deviation223.71887
Coefficient of variation (CV)0.76755576
Kurtosis0.12784129
Mean291.46921
Median Absolute Deviation (MAD)123
Skewness1.0132337
Sum99391
Variance50050.132
MonotonicityNot monotonic
2024-04-11T13:49:56.676134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
196 5
 
1.5%
57 3
 
0.9%
131 3
 
0.9%
113 3
 
0.9%
204 3
 
0.9%
130 3
 
0.9%
121 3
 
0.9%
172 3
 
0.9%
46 3
 
0.9%
18 3
 
0.9%
Other values (264) 309
90.6%
ValueCountFrequency (%)
12 1
 
0.3%
17 1
 
0.3%
18 3
0.9%
19 1
 
0.3%
20 2
0.6%
22 1
 
0.3%
23 2
0.6%
28 1
 
0.3%
32 1
 
0.3%
39 1
 
0.3%
ValueCountFrequency (%)
913 1
0.3%
899 1
0.3%
892 1
0.3%
890 1
0.3%
884 1
0.3%
878 1
0.3%
867 1
0.3%
854 1
0.3%
836 1
0.3%
830 1
0.3%

심장수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2199413
Minimum0
Maximum226
Zeros42
Zeros (%)12.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:56.766314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile9
Maximum226
Range226
Interquartile range (IQR)4

Descriptive statistics

Standard deviation12.368426
Coefficient of variation (CV)2.9309473
Kurtosis306.45019
Mean4.2199413
Median Absolute Deviation (MAD)2
Skewness17.058278
Sum1439
Variance152.97795
MonotonicityNot monotonic
2024-04-11T13:49:56.851384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2 53
15.5%
4 51
15.0%
1 51
15.0%
0 42
12.3%
3 40
11.7%
5 24
7.0%
6 21
 
6.2%
7 20
 
5.9%
8 20
 
5.9%
10 7
 
2.1%
Other values (5) 12
 
3.5%
ValueCountFrequency (%)
0 42
12.3%
1 51
15.0%
2 53
15.5%
3 40
11.7%
4 51
15.0%
5 24
7.0%
6 21
 
6.2%
7 20
 
5.9%
8 20
 
5.9%
9 5
 
1.5%
ValueCountFrequency (%)
226 1
 
0.3%
14 1
 
0.3%
13 1
 
0.3%
11 4
 
1.2%
10 7
 
2.1%
9 5
 
1.5%
8 20
5.9%
7 20
5.9%
6 21
6.2%
5 24
7.0%

간수급자수(명)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6070381
Minimum0
Maximum8
Zeros102
Zeros (%)29.9%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:56.930414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6371991
Coefficient of variation (CV)1.0187681
Kurtosis1.3917941
Mean1.6070381
Median Absolute Deviation (MAD)1
Skewness1.242542
Sum548
Variance2.6804209
MonotonicityNot monotonic
2024-04-11T13:49:57.016188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 102
29.9%
1 93
27.3%
2 67
19.6%
3 36
 
10.6%
4 20
 
5.9%
5 11
 
3.2%
6 7
 
2.1%
7 4
 
1.2%
8 1
 
0.3%
ValueCountFrequency (%)
0 102
29.9%
1 93
27.3%
2 67
19.6%
3 36
 
10.6%
4 20
 
5.9%
5 11
 
3.2%
6 7
 
2.1%
7 4
 
1.2%
8 1
 
0.3%
ValueCountFrequency (%)
8 1
 
0.3%
7 4
 
1.2%
6 7
 
2.1%
5 11
 
3.2%
4 20
 
5.9%
3 36
 
10.6%
2 67
19.6%
1 93
27.3%
0 102
29.9%

호흡기수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.615836
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:57.115344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q19
median19
Q329
95-th percentile56
Maximum75
Range74
Interquartile range (IQR)20

Descriptive statistics

Standard deviation16.098472
Coefficient of variation (CV)0.74475363
Kurtosis0.82036464
Mean21.615836
Median Absolute Deviation (MAD)10
Skewness1.0985511
Sum7371
Variance259.16081
MonotonicityNot monotonic
2024-04-11T13:49:57.222423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17
 
5.0%
7 17
 
5.0%
8 15
 
4.4%
25 15
 
4.4%
23 13
 
3.8%
6 11
 
3.2%
11 11
 
3.2%
9 11
 
3.2%
24 10
 
2.9%
12 10
 
2.9%
Other values (50) 211
61.9%
ValueCountFrequency (%)
1 4
 
1.2%
2 5
 
1.5%
3 17
5.0%
4 8
2.3%
5 8
2.3%
6 11
3.2%
7 17
5.0%
8 15
4.4%
9 11
3.2%
10 9
2.6%
ValueCountFrequency (%)
75 1
 
0.3%
72 2
0.6%
68 3
0.9%
67 1
 
0.3%
65 1
 
0.3%
63 1
 
0.3%
61 2
0.6%
60 2
0.6%
58 2
0.6%
57 2
0.6%

장루요루수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70381232
Minimum0
Maximum5
Zeros186
Zeros (%)54.5%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:57.315907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.96571376
Coefficient of variation (CV)1.3721183
Kurtosis1.9777835
Mean0.70381232
Median Absolute Deviation (MAD)0
Skewness1.5098035
Sum240
Variance0.93260307
MonotonicityNot monotonic
2024-04-11T13:49:57.410717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 186
54.5%
1 102
29.9%
2 26
 
7.6%
3 23
 
6.7%
4 3
 
0.9%
5 1
 
0.3%
ValueCountFrequency (%)
0 186
54.5%
1 102
29.9%
2 26
 
7.6%
3 23
 
6.7%
4 3
 
0.9%
5 1
 
0.3%
ValueCountFrequency (%)
5 1
 
0.3%
4 3
 
0.9%
3 23
 
6.7%
2 26
 
7.6%
1 102
29.9%
0 186
54.5%

뇌전증수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.771261
Minimum0
Maximum32
Zeros68
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:57.496966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum32
Range32
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.0274034
Coefficient of variation (CV)1.0924281
Kurtosis25.197861
Mean2.771261
Median Absolute Deviation (MAD)1
Skewness3.3702953
Sum945
Variance9.1651716
MonotonicityNot monotonic
2024-04-11T13:49:57.581192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 73
21.4%
0 68
19.9%
2 58
17.0%
3 40
11.7%
4 32
9.4%
5 21
 
6.2%
7 15
 
4.4%
6 13
 
3.8%
9 7
 
2.1%
8 6
 
1.8%
Other values (5) 8
 
2.3%
ValueCountFrequency (%)
0 68
19.9%
1 73
21.4%
2 58
17.0%
3 40
11.7%
4 32
9.4%
5 21
 
6.2%
6 13
 
3.8%
7 15
 
4.4%
8 6
 
1.8%
9 7
 
2.1%
ValueCountFrequency (%)
32 1
 
0.3%
13 1
 
0.3%
12 1
 
0.3%
11 2
 
0.6%
10 3
 
0.9%
9 7
 
2.1%
8 6
 
1.8%
7 15
4.4%
6 13
3.8%
5 21
6.2%

지적수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct201
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean337.39589
Minimum0
Maximum1503
Zeros4
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:57.681839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median175
Q3567
95-th percentile1150
Maximum1503
Range1503
Interquartile range (IQR)558

Descriptive statistics

Standard deviation399.32945
Coefficient of variation (CV)1.1835635
Kurtosis0.25352904
Mean337.39589
Median Absolute Deviation (MAD)171
Skewness1.1000595
Sum115052
Variance159464.01
MonotonicityNot monotonic
2024-04-11T13:49:58.006873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 14
 
4.1%
5 14
 
4.1%
9 12
 
3.5%
3 12
 
3.5%
6 11
 
3.2%
10 9
 
2.6%
2 9
 
2.6%
13 8
 
2.3%
8 8
 
2.3%
12 6
 
1.8%
Other values (191) 238
69.8%
ValueCountFrequency (%)
0 4
 
1.2%
1 1
 
0.3%
2 9
2.6%
3 12
3.5%
4 4
 
1.2%
5 14
4.1%
6 11
3.2%
7 14
4.1%
8 8
2.3%
9 12
3.5%
ValueCountFrequency (%)
1503 1
0.3%
1499 1
0.3%
1496 1
0.3%
1481 1
0.3%
1438 1
0.3%
1403 1
0.3%
1348 1
0.3%
1337 2
0.6%
1289 1
0.3%
1280 1
0.3%

정신수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct198
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.93548
Minimum12
Maximum414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:58.116459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile29
Q176
median125
Q3207
95-th percentile345
Maximum414
Range402
Interquartile range (IQR)131

Descriptive statistics

Standard deviation100.91756
Coefficient of variation (CV)0.64717511
Kurtosis-0.35971923
Mean155.93548
Median Absolute Deviation (MAD)59
Skewness0.79150272
Sum53174
Variance10184.355
MonotonicityNot monotonic
2024-04-11T13:49:58.237529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 10
 
2.9%
88 6
 
1.8%
45 5
 
1.5%
78 5
 
1.5%
90 5
 
1.5%
70 5
 
1.5%
133 4
 
1.2%
113 4
 
1.2%
75 4
 
1.2%
187 4
 
1.2%
Other values (188) 289
84.8%
ValueCountFrequency (%)
12 2
0.6%
13 1
0.3%
14 2
0.6%
15 2
0.6%
16 2
0.6%
17 1
0.3%
18 1
0.3%
26 1
0.3%
27 1
0.3%
28 2
0.6%
ValueCountFrequency (%)
414 1
 
0.3%
408 1
 
0.3%
406 3
0.9%
395 1
 
0.3%
392 2
0.6%
389 1
 
0.3%
388 1
 
0.3%
386 1
 
0.3%
370 2
0.6%
369 1
 
0.3%

자폐성수급자수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct142
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.653959
Minimum0
Maximum449
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:58.353289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q120
median41
Q380
95-th percentile220
Maximum449
Range449
Interquartile range (IQR)60

Descriptive statistics

Standard deviation75.051926
Coefficient of variation (CV)1.1093501
Kurtosis6.6472824
Mean67.653959
Median Absolute Deviation (MAD)25
Skewness2.3452524
Sum23070
Variance5632.7917
MonotonicityNot monotonic
2024-04-11T13:49:58.456664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 10
 
2.9%
18 8
 
2.3%
48 7
 
2.1%
11 7
 
2.1%
28 7
 
2.1%
16 6
 
1.8%
26 6
 
1.8%
23 6
 
1.8%
33 6
 
1.8%
22 6
 
1.8%
Other values (132) 272
79.8%
ValueCountFrequency (%)
0 1
 
0.3%
3 1
 
0.3%
4 4
 
1.2%
5 3
 
0.9%
6 2
 
0.6%
7 5
1.5%
8 5
1.5%
9 10
2.9%
10 5
1.5%
11 7
2.1%
ValueCountFrequency (%)
449 1
0.3%
438 1
0.3%
423 1
0.3%
416 1
0.3%
332 1
0.3%
311 1
0.3%
310 1
0.3%
285 1
0.3%
283 1
0.3%
281 1
0.3%

기타수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.82404692
Minimum0
Maximum23
Zeros283
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2024-04-11T13:49:58.554344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5260076
Coefficient of variation (CV)3.0653686
Kurtosis25.59246
Mean0.82404692
Median Absolute Deviation (MAD)0
Skewness4.4848605
Sum281
Variance6.3807142
MonotonicityNot monotonic
2024-04-11T13:49:58.647607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 283
83.0%
1 12
 
3.5%
2 10
 
2.9%
6 8
 
2.3%
4 6
 
1.8%
3 6
 
1.8%
5 3
 
0.9%
7 3
 
0.9%
10 3
 
0.9%
15 2
 
0.6%
Other values (5) 5
 
1.5%
ValueCountFrequency (%)
0 283
83.0%
1 12
 
3.5%
2 10
 
2.9%
3 6
 
1.8%
4 6
 
1.8%
5 3
 
0.9%
6 8
 
2.3%
7 3
 
0.9%
8 1
 
0.3%
9 1
 
0.3%
ValueCountFrequency (%)
23 1
 
0.3%
15 2
 
0.6%
12 1
 
0.3%
11 1
 
0.3%
10 3
 
0.9%
9 1
 
0.3%
8 1
 
0.3%
7 3
 
0.9%
6 8
2.3%
5 3
 
0.9%

Interactions

2024-04-11T13:49:52.979921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:29.587218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:30.834011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:32.065002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:33.445019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:34.728930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:36.357567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:37.715886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:39.179483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:40.501900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:41.935080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:43.222669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:44.731854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:46.031493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:47.415144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:48.754167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:50.261177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:51.566005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:53.037246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:29.691166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:30.895529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:32.278209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:33.507801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:34.800057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:36.445332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:37.795141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:39.252794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:40.565354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:42.009092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:43.288184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:44.796918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:46.094970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:47.484606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:48.833121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:50.328151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:51.644351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:53.109050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:29.761117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:30.965060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-04-11T13:49:34.393809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:35.899093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:37.370893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:38.836043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:40.146299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:41.587375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:42.837910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:44.387401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:45.670733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:46.915629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:48.385507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:49.720933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:51.214957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:52.493972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:53.946044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:30.580551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:31.799328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:33.181951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:34.460446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:35.984823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:37.442177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:38.904158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:40.214512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:41.660341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:42.911621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:44.455570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:45.741889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:46.982026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:48.458089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:49.794972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:51.284492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:52.559103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:54.014854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:30.647405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:31.866897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:33.246717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:34.531136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:36.081801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:37.514022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:38.976174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:40.292980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:41.734470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:42.984844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:44.528116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:45.820292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:47.228500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:48.538763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:50.040568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:51.360513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:52.628842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:54.093354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:30.715291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:31.938776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:33.317490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:34.602654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:36.177279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:37.591235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:39.051322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:40.373832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:41.808800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:43.065935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:44.602351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:45.897228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:47.297300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:48.616547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:50.113721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:51.433260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:52.698143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:54.156097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:30.774852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:32.003253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:33.380251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:34.665124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:36.265891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:37.649822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:39.116207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:40.437369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:41.867234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:43.146947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:44.667421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:45.967223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:47.357095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:48.685705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:50.190593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:51.499923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T13:49:52.758000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T13:49:58.734048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명전체수급자수(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)기타수급자수(명)
기준년도1.0000.0000.0000.0000.0000.0000.0000.7010.0000.0000.0130.0000.0000.0000.0520.6910.0000.1620.499
시군명0.0001.0000.9350.9550.9310.9470.9270.6820.8700.8780.0200.7030.8910.7080.7300.8220.9780.7470.196
전체수급자수(명)0.0000.9351.0000.9470.9440.9480.9390.7310.6800.9210.2720.4500.8640.5360.5620.8410.8940.7110.204
지체수급자수(명)0.0000.9550.9471.0000.9520.9420.9260.7270.6810.8920.1790.4430.8820.5120.5840.8020.8870.6610.098
뇌병변수급자수(명)0.0000.9310.9440.9521.0000.9360.9050.7610.6100.8810.1790.4550.8840.5470.6070.7390.8850.6340.202
시각수급자수(명)0.0000.9470.9480.9420.9361.0000.9200.6850.6900.8810.1690.4630.8630.4960.5890.7630.8910.6270.210
청각수급자수(명)0.0000.9270.9390.9260.9050.9201.0000.6950.6310.9250.1170.4610.8520.5550.6730.7590.8590.6140.199
언어수급자수(명)0.7010.6820.7310.7270.7610.6850.6951.0000.3960.6580.0000.4830.7300.4040.1310.6220.6590.4550.419
안면수급자수(명)0.0000.8700.6800.6810.6100.6900.6310.3961.0000.6270.6350.4210.6030.3100.4550.5490.5900.5770.000
신장수급자수(명)0.0000.8780.9210.8920.8810.8810.9250.6580.6271.0000.2150.3980.8490.5280.6320.8150.8380.7190.090
심장수급자수(명)0.0130.0200.2720.1790.1790.1690.1170.0000.6350.2151.0000.0390.0850.0000.0000.1480.0000.0000.000
간수급자수(명)0.0000.7030.4500.4430.4550.4630.4610.4830.4210.3980.0391.0000.4270.3690.1670.2710.5020.3980.373
호흡기수급자수(명)0.0000.8910.8640.8820.8840.8630.8520.7300.6030.8490.0850.4271.0000.5500.5070.7160.8720.6820.108
장루요루수급자수(명)0.0000.7080.5360.5120.5470.4960.5550.4040.3100.5280.0000.3690.5501.0000.3990.5260.5140.5760.087
뇌전증수급자수(명)0.0520.7300.5620.5840.6070.5890.6730.1310.4550.6320.0000.1670.5070.3991.0000.5700.5270.6010.000
지적수급자수(명)0.6910.8220.8410.8020.7390.7630.7590.6220.5490.8150.1480.2710.7160.5260.5701.0000.7270.7890.000
정신수급자수(명)0.0000.9780.8940.8870.8850.8910.8590.6590.5900.8380.0000.5020.8720.5140.5270.7271.0000.6630.328
자폐성수급자수(명)0.1620.7470.7110.6610.6340.6270.6140.4550.5770.7190.0000.3980.6820.5760.6010.7890.6631.0000.000
기타수급자수(명)0.4990.1960.2040.0980.2020.2100.1990.4190.0000.0900.0000.3730.1080.0870.0000.0000.3280.0001.000
2024-04-11T13:49:58.889327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도전체수급자수(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)기타수급자수(명)시군명
기준년도1.0000.133-0.013-0.0160.0390.105-0.7200.0800.226-0.026-0.2580.0380.0660.2370.787-0.0380.458-0.5520.000
전체수급자수(명)0.1331.0000.9710.9670.9680.9690.3500.6580.9540.6790.4600.9040.5560.7170.5660.8410.8480.0150.666
지체수급자수(명)-0.0130.9711.0000.9700.9700.9500.4560.6590.9410.6930.4950.9200.5430.7110.4390.8200.7810.0930.728
뇌병변수급자수(명)-0.0160.9670.9701.0000.9550.9390.4500.6430.9250.7190.4930.9040.5580.6520.4310.8560.7790.0950.652
시각수급자수(명)0.0390.9680.9700.9551.0000.9710.4050.7000.9340.6810.4940.9060.5470.6740.4760.8200.7790.0730.701
청각수급자수(명)0.1050.9690.9500.9390.9711.0000.3570.6610.9350.6400.4340.8880.5210.6770.5340.7980.8120.0170.647
언어수급자수(명)-0.7200.3500.4560.4500.4050.3571.0000.2240.2540.3200.4150.3710.2130.172-0.5300.4120.0310.3460.305
안면수급자수(명)0.0800.6580.6590.6430.7000.6610.2241.0000.6460.4300.4090.6080.3480.5030.3410.5910.5420.0130.551
신장수급자수(명)0.2260.9540.9410.9250.9340.9350.2540.6461.0000.6660.4310.9080.5150.7190.6060.7750.887-0.0440.534
심장수급자수(명)-0.0260.6790.6930.7190.6810.6400.3200.4300.6661.0000.3540.6630.5210.4350.2970.7660.5300.0580.000
간수급자수(명)-0.2580.4600.4950.4930.4940.4340.4150.4090.4310.3541.0000.4930.2240.3010.0240.3930.3470.2740.338
호흡기수급자수(명)0.0380.9040.9200.9040.9060.8880.3710.6080.9080.6630.4931.0000.5420.5830.4550.7460.7850.0590.559
장루요루수급자수(명)0.0660.5560.5430.5580.5470.5210.2130.3480.5150.5210.2240.5421.0000.3180.3070.5410.4280.0590.388
뇌전증수급자수(명)0.2370.7170.7110.6520.6740.6770.1720.5030.7190.4350.3010.5830.3181.0000.4950.5220.680-0.0620.410
지적수급자수(명)0.7870.5660.4390.4310.4760.534-0.5300.3410.6060.2970.0240.4550.3070.4951.0000.3610.724-0.3570.446
정신수급자수(명)-0.0380.8410.8200.8560.8200.7980.4120.5910.7750.7660.3930.7460.5410.5220.3611.0000.6300.1110.824
자폐성수급자수(명)0.4580.8480.7810.7790.7790.8120.0310.5420.8870.5300.3470.7850.4280.6800.7240.6301.000-0.1740.378
기타수급자수(명)-0.5520.0150.0930.0950.0730.0170.3460.013-0.0440.0580.2740.0590.059-0.062-0.3570.111-0.1741.0000.073
시군명0.0000.6660.7280.6520.7010.6470.3050.5510.5340.0000.3380.5590.3880.4100.4460.8240.3780.0731.000

Missing values

2024-04-11T13:49:54.277611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T13:49:54.495379image/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

기준년도시군명전체수급자수(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)기타수급자수(명)
02023가평군971991384544415741310382182100
12023고양시554366789533537141580851613814993954490
22023과천시232213511242118103007012340
32023광명시14872352499312013221301130539288630
42023광주시197723235711413712029231221267265670
52023구리시9411461284956201731060326255600
62023군포시138421520611111512222603221231482730
72023김포시2022275317111187212305001504566146730
82023남양주시397254369023526339169151421711161921460
92023동두천시977144189606860145501102219103250
기준년도시군명전체수급자수(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)기타수급자수(명)
3312013오산시873111123578625307120701314991
3322013용인시2403341547223198461223943241013308363
3332013의왕시53210310845279906121800261132
3342013의정부시214542947318917235342754217178189184
3352013이천시12752261989297476070121003875152
3362013파주시2064353462160152492118372251271742815
3372013평택시2147404399192178468123331191412212173
3382013포천시1211224223111124286310602902710743
3392013하남시701127159485915106304501367122
3402013화성시203629243115314548611724210049294330