Overview

Dataset statistics

Number of variables18
Number of observations204
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.2 KiB
Average record size in memory161.6 B

Variable types

Numeric17
Categorical1

Dataset

Description경기도_시도별 등록장애인 집계현황(장애유형별)
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=OU3X9JYZQ4ACDZVOD5FX24748190&infSeq=1

Alerts

합계(명) is highly overall correlated with 지체장애인수(명) and 15 other fieldsHigh correlation
지체장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
뇌병변장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
시각장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
청각장애인수(명) is highly overall correlated with 합계(명) and 14 other fieldsHigh correlation
언어장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
안면장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
신장장애인수(명) is highly overall correlated with 합계(명) and 14 other fieldsHigh correlation
심장장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
간장애인수(명) is highly overall correlated with 합계(명) and 14 other fieldsHigh correlation
호흡기장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
장루요루장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
뇌전증장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
지적장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
정신장애인수(명) is highly overall correlated with 합계(명) and 15 other fieldsHigh correlation
자폐성장애인수(명) is highly overall correlated with 합계(명) and 14 other fieldsHigh correlation
시도명 is highly overall correlated with 합계(명) and 11 other fieldsHigh correlation
합계(명) has unique valuesUnique
지체장애인수(명) has unique valuesUnique
신장장애인수(명) has unique valuesUnique

Reproduction

Analysis started2024-04-11 05:22:08.652509
Analysis finished2024-04-11 05:22:33.197101
Duration24.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct12
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.5
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:33.241536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014.75
median2017.5
Q32020.25
95-th percentile2023
Maximum2023
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4605447
Coefficient of variation (CV)0.0017152638
Kurtosis-1.2171428
Mean2017.5
Median Absolute Deviation (MAD)3
Skewness0
Sum411570
Variance11.975369
MonotonicityDecreasing
2024-04-11T14:22:33.326350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2023 17
8.3%
2022 17
8.3%
2021 17
8.3%
2020 17
8.3%
2019 17
8.3%
2018 17
8.3%
2017 17
8.3%
2016 17
8.3%
2015 17
8.3%
2014 17
8.3%
Other values (2) 34
16.7%
ValueCountFrequency (%)
2012 17
8.3%
2013 17
8.3%
2014 17
8.3%
2015 17
8.3%
2016 17
8.3%
2017 17
8.3%
2018 17
8.3%
2019 17
8.3%
2020 17
8.3%
2021 17
8.3%
ValueCountFrequency (%)
2023 17
8.3%
2022 17
8.3%
2021 17
8.3%
2020 17
8.3%
2019 17
8.3%
2018 17
8.3%
2017 17
8.3%
2016 17
8.3%
2015 17
8.3%
2014 17
8.3%

시도명
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
강원
 
12
경기
 
12
경남
 
12
경북
 
12
광주
 
12
Other values (12)
144 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강원
2nd row경기
3rd row경남
4th row경북
5th row광주

Common Values

ValueCountFrequency (%)
강원 12
 
5.9%
경기 12
 
5.9%
경남 12
 
5.9%
경북 12
 
5.9%
광주 12
 
5.9%
대구 12
 
5.9%
대전 12
 
5.9%
부산 12
 
5.9%
서울 12
 
5.9%
세종 12
 
5.9%
Other values (7) 84
41.2%

Length

2024-04-11T14:22:33.413002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강원 12
 
5.9%
세종 12
 
5.9%
충남 12
 
5.9%
제주 12
 
5.9%
전북 12
 
5.9%
전남 12
 
5.9%
인천 12
 
5.9%
울산 12
 
5.9%
서울 12
 
5.9%
경기 12
 
5.9%
Other values (7) 84
41.2%

합계(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150958.39
Minimum7081
Maximum586421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:33.508585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7081
5-th percentile12875.15
Q171368.25
median129979
Q3169998.25
95-th percentile506322.25
Maximum586421
Range579340
Interquartile range (IQR)98630

Descriptive statistics

Standard deviation128819.88
Coefficient of variation (CV)0.85334694
Kurtosis3.3314893
Mean150958.39
Median Absolute Deviation (MAD)47466.5
Skewness1.9330391
Sum30795512
Variance1.6594562 × 1010
MonotonicityNot monotonic
2024-04-11T14:22:33.626668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100520 1
 
0.5%
115694 1
 
0.5%
141578 1
 
0.5%
130345 1
 
0.5%
34278 1
 
0.5%
126406 1
 
0.5%
94688 1
 
0.5%
98324 1
 
0.5%
512882 1
 
0.5%
179070 1
 
0.5%
Other values (194) 194
95.1%
ValueCountFrequency (%)
7081 1
0.5%
7202 1
0.5%
7943 1
0.5%
9079 1
0.5%
9845 1
0.5%
10623 1
0.5%
11404 1
0.5%
12046 1
0.5%
12346 1
0.5%
12630 1
0.5%
ValueCountFrequency (%)
586421 1
0.5%
584834 1
0.5%
578668 1
0.5%
569726 1
0.5%
559878 1
0.5%
547386 1
0.5%
533259 1
0.5%
522437 1
0.5%
512882 1
0.5%
508330 1
0.5%

지체장애인수(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72963.358
Minimum3615
Maximum271452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:33.738358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3615
5-th percentile5845.25
Q133129.5
median62820
Q380158.75
95-th percentile263733.4
Maximum271452
Range267837
Interquartile range (IQR)47029.25

Descriptive statistics

Standard deviation62793.485
Coefficient of variation (CV)0.86061671
Kurtosis3.4257167
Mean72963.358
Median Absolute Deviation (MAD)23629
Skewness1.9318507
Sum14884525
Variance3.9430218 × 109
MonotonicityNot monotonic
2024-04-11T14:22:34.036257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48186 1
 
0.5%
56313 1
 
0.5%
74290 1
 
0.5%
68350 1
 
0.5%
14711 1
 
0.5%
65145 1
 
0.5%
47307 1
 
0.5%
52491 1
 
0.5%
268668 1
 
0.5%
96080 1
 
0.5%
Other values (194) 194
95.1%
ValueCountFrequency (%)
3615 1
0.5%
3701 1
0.5%
4126 1
0.5%
4715 1
0.5%
5013 1
0.5%
5296 1
0.5%
5592 1
0.5%
5768 1
0.5%
5778 1
0.5%
5784 1
0.5%
ValueCountFrequency (%)
271452 1
0.5%
270229 1
0.5%
268930 1
0.5%
268832 1
0.5%
268816 1
0.5%
268731 1
0.5%
268668 1
0.5%
267797 1
0.5%
267043 1
0.5%
266179 1
0.5%

뇌병변장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct197
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14740.093
Minimum635
Maximum55106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:34.150590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum635
5-th percentile1118.8
Q17261.25
median11422
Q316477.25
95-th percentile52005.75
Maximum55106
Range54471
Interquartile range (IQR)9216

Descriptive statistics

Standard deviation13173.733
Coefficient of variation (CV)0.8937347
Kurtosis2.9113675
Mean14740.093
Median Absolute Deviation (MAD)4513
Skewness1.9132222
Sum3006979
Variance1.7354723 × 108
MonotonicityNot monotonic
2024-04-11T14:22:34.259568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4745 3
 
1.5%
12915 2
 
1.0%
4829 2
 
1.0%
17433 2
 
1.0%
8651 2
 
1.0%
12274 2
 
1.0%
8720 1
 
0.5%
52333 1
 
0.5%
12824 1
 
0.5%
11697 1
 
0.5%
Other values (187) 187
91.7%
ValueCountFrequency (%)
635 1
0.5%
647 1
0.5%
657 1
0.5%
750 1
0.5%
848 1
0.5%
935 1
0.5%
994 1
0.5%
1067 1
0.5%
1087 1
0.5%
1098 1
0.5%
ValueCountFrequency (%)
55106 1
0.5%
55060 1
0.5%
55056 1
0.5%
54821 1
0.5%
54606 1
0.5%
54230 1
0.5%
53728 1
0.5%
52693 1
0.5%
52566 1
0.5%
52333 1
0.5%

시각장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct201
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14832.681
Minimum705
Maximum54916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:34.364347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum705
5-th percentile1232.35
Q17253.5
median12055
Q316783.5
95-th percentile50018.45
Maximum54916
Range54211
Interquartile range (IQR)9530

Descriptive statistics

Standard deviation12837.578
Coefficient of variation (CV)0.86549274
Kurtosis2.8977162
Mean14832.681
Median Absolute Deviation (MAD)4784
Skewness1.9089744
Sum3025867
Variance1.6480341 × 108
MonotonicityNot monotonic
2024-04-11T14:22:34.481844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7290 2
 
1.0%
7203 2
 
1.0%
17051 2
 
1.0%
9210 1
 
0.5%
7276 1
 
0.5%
14338 1
 
0.5%
11772 1
 
0.5%
4270 1
 
0.5%
12058 1
 
0.5%
8983 1
 
0.5%
Other values (191) 191
93.6%
ValueCountFrequency (%)
705 1
0.5%
711 1
0.5%
805 1
0.5%
917 1
0.5%
985 1
0.5%
1053 1
0.5%
1124 1
0.5%
1182 1
0.5%
1195 1
0.5%
1217 1
0.5%
ValueCountFrequency (%)
54916 1
0.5%
54685 1
0.5%
54660 1
0.5%
54212 1
0.5%
53728 1
0.5%
52988 1
0.5%
52038 1
0.5%
51482 1
0.5%
50868 1
0.5%
50397 1
0.5%

청각장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct203
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19491.368
Minimum762
Maximum89417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:34.607553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum762
5-th percentile1809.15
Q19834.75
median14415.5
Q322903.5
95-th percentile56114.7
Maximum89417
Range88655
Interquartile range (IQR)13068.75

Descriptive statistics

Standard deviation16418.074
Coefficient of variation (CV)0.84232538
Kurtosis4.4937763
Mean19491.368
Median Absolute Deviation (MAD)6254.5
Skewness2.0098688
Sum3976239
Variance2.6955314 × 108
MonotonicityNot monotonic
2024-04-11T14:22:34.733932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6857 2
 
1.0%
15018 1
 
0.5%
11317 1
 
0.5%
14426 1
 
0.5%
4738 1
 
0.5%
15059 1
 
0.5%
10818 1
 
0.5%
10700 1
 
0.5%
47169 1
 
0.5%
16691 1
 
0.5%
Other values (193) 193
94.6%
ValueCountFrequency (%)
762 1
0.5%
763 1
0.5%
843 1
0.5%
950 1
0.5%
1111 1
0.5%
1300 1
0.5%
1475 1
0.5%
1630 1
0.5%
1731 1
0.5%
1780 1
0.5%
ValueCountFrequency (%)
89417 1
0.5%
86690 1
0.5%
82737 1
0.5%
78042 1
0.5%
72388 1
0.5%
64102 1
0.5%
63858 1
0.5%
61995 1
0.5%
59714 1
0.5%
57430 1
0.5%

언어장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct188
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1207.1275
Minimum49
Maximum5462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:34.838054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile123.75
Q1567.5
median1021
Q31283.25
95-th percentile3524.45
Maximum5462
Range5413
Interquartile range (IQR)715.75

Descriptive statistics

Standard deviation1067.0518
Coefficient of variation (CV)0.88395954
Kurtosis4.6532351
Mean1207.1275
Median Absolute Deviation (MAD)395
Skewness2.148798
Sum246254
Variance1138599.6
MonotonicityNot monotonic
2024-04-11T14:22:34.946608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1011 3
 
1.5%
1053 3
 
1.5%
1027 3
 
1.5%
1025 2
 
1.0%
715 2
 
1.0%
571 2
 
1.0%
1575 2
 
1.0%
478 2
 
1.0%
1167 2
 
1.0%
606 2
 
1.0%
Other values (178) 181
88.7%
ValueCountFrequency (%)
49 1
0.5%
50 1
0.5%
58 1
0.5%
67 1
0.5%
68 1
0.5%
77 1
0.5%
84 1
0.5%
93 1
0.5%
107 1
0.5%
113 1
0.5%
ValueCountFrequency (%)
5462 1
0.5%
5430 1
0.5%
5266 1
0.5%
5168 1
0.5%
4808 1
0.5%
4517 1
0.5%
4299 1
0.5%
3995 1
0.5%
3772 1
0.5%
3642 1
0.5%

안면장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct123
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.7451
Minimum7
Maximum651
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:35.047000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile14
Q176.75
median115
Q3200
95-th percentile573.75
Maximum651
Range644
Interquartile range (IQR)123.25

Descriptive statistics

Standard deviation144.44592
Coefficient of variation (CV)0.90992367
Kurtosis3.4409988
Mean158.7451
Median Absolute Deviation (MAD)44
Skewness1.9466928
Sum32384
Variance20864.624
MonotonicityNot monotonic
2024-04-11T14:22:35.152816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86 8
 
3.9%
63 6
 
2.9%
144 5
 
2.5%
23 4
 
2.0%
92 4
 
2.0%
90 4
 
2.0%
141 4
 
2.0%
201 4
 
2.0%
89 4
 
2.0%
14 3
 
1.5%
Other values (113) 158
77.5%
ValueCountFrequency (%)
7 3
1.5%
9 1
 
0.5%
10 1
 
0.5%
12 1
 
0.5%
13 3
1.5%
14 3
1.5%
23 4
2.0%
24 2
1.0%
25 1
 
0.5%
26 2
1.0%
ValueCountFrequency (%)
651 1
0.5%
633 2
1.0%
629 1
0.5%
626 1
0.5%
616 1
0.5%
615 1
0.5%
598 1
0.5%
581 1
0.5%
576 2
1.0%
561 1
0.5%

신장장애인수(명)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct204
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5057.0049
Minimum104
Maximum26617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:35.269129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104
5-th percentile507.8
Q12193.75
median3243
Q35304.25
95-th percentile18240.1
Maximum26617
Range26513
Interquartile range (IQR)3110.5

Descriptive statistics

Standard deviation5325.8861
Coefficient of variation (CV)1.0531701
Kurtosis4.5684273
Mean5057.0049
Median Absolute Deviation (MAD)1256.5
Skewness2.2499731
Sum1031629
Variance28365063
MonotonicityNot monotonic
2024-04-11T14:22:35.378974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3447 1
 
0.5%
3756 1
 
0.5%
2940 1
 
0.5%
2568 1
 
0.5%
1189 1
 
0.5%
2988 1
 
0.5%
2509 1
 
0.5%
2322 1
 
0.5%
17285 1
 
0.5%
4759 1
 
0.5%
Other values (194) 194
95.1%
ValueCountFrequency (%)
104 1
0.5%
123 1
0.5%
163 1
0.5%
215 1
0.5%
257 1
0.5%
285 1
0.5%
342 1
0.5%
394 1
0.5%
414 1
0.5%
449 1
0.5%
ValueCountFrequency (%)
26617 1
0.5%
25885 1
0.5%
24904 1
0.5%
23587 1
0.5%
22311 1
0.5%
21070 1
0.5%
19807 1
0.5%
19121 1
0.5%
18883 1
0.5%
18478 1
0.5%

심장장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct162
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean337.21569
Minimum11
Maximum1812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:35.490386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile25.3
Q1141.75
median214.5
Q3292.25
95-th percentile1300.95
Maximum1812
Range1801
Interquartile range (IQR)150.5

Descriptive statistics

Standard deviation377.29033
Coefficient of variation (CV)1.1188398
Kurtosis4.0602408
Mean337.21569
Median Absolute Deviation (MAD)73.5
Skewness2.2312338
Sum68792
Variance142347.99
MonotonicityNot monotonic
2024-04-11T14:22:35.610529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179 4
 
2.0%
140 4
 
2.0%
23 3
 
1.5%
229 3
 
1.5%
141 3
 
1.5%
131 3
 
1.5%
223 3
 
1.5%
168 3
 
1.5%
266 2
 
1.0%
20 2
 
1.0%
Other values (152) 174
85.3%
ValueCountFrequency (%)
11 1
 
0.5%
14 1
 
0.5%
18 2
1.0%
20 2
1.0%
21 1
 
0.5%
23 3
1.5%
25 1
 
0.5%
27 1
 
0.5%
69 1
 
0.5%
70 1
 
0.5%
ValueCountFrequency (%)
1812 1
0.5%
1745 1
0.5%
1615 1
0.5%
1561 1
0.5%
1491 1
0.5%
1479 1
0.5%
1352 1
0.5%
1345 1
0.5%
1312 1
0.5%
1303 1
0.5%

간장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct186
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean712.14706
Minimum20
Maximum4046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:35.736407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile81.6
Q1317.25
median464.5
Q3682.75
95-th percentile2653.7
Maximum4046
Range4026
Interquartile range (IQR)365.5

Descriptive statistics

Standard deviation790.84899
Coefficient of variation (CV)1.1105136
Kurtosis5.1619151
Mean712.14706
Median Absolute Deviation (MAD)168
Skewness2.3950523
Sum145278
Variance625442.13
MonotonicityNot monotonic
2024-04-11T14:22:36.022553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
377 3
 
1.5%
559 2
 
1.0%
301 2
 
1.0%
649 2
 
1.0%
274 2
 
1.0%
500 2
 
1.0%
379 2
 
1.0%
519 2
 
1.0%
348 2
 
1.0%
438 2
 
1.0%
Other values (176) 183
89.7%
ValueCountFrequency (%)
20 1
0.5%
22 1
0.5%
27 1
0.5%
34 1
0.5%
39 1
0.5%
47 1
0.5%
59 1
0.5%
60 1
0.5%
69 2
1.0%
81 1
0.5%
ValueCountFrequency (%)
4046 1
0.5%
3863 1
0.5%
3692 1
0.5%
3504 1
0.5%
3311 1
0.5%
3153 1
0.5%
2986 1
0.5%
2796 1
0.5%
2790 1
0.5%
2715 1
0.5%

호흡기장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct178
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean705.84804
Minimum47
Maximum2729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:36.131202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile56.3
Q1314.5
median514
Q3773
95-th percentile2423
Maximum2729
Range2682
Interquartile range (IQR)458.5

Descriptive statistics

Standard deviation645.3855
Coefficient of variation (CV)0.91434057
Kurtosis2.5002215
Mean705.84804
Median Absolute Deviation (MAD)218
Skewness1.8700681
Sum143993
Variance416522.44
MonotonicityNot monotonic
2024-04-11T14:22:36.242876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 4
 
2.0%
48 3
 
1.5%
333 2
 
1.0%
689 2
 
1.0%
296 2
 
1.0%
2423 2
 
1.0%
366 2
 
1.0%
358 2
 
1.0%
646 2
 
1.0%
293 2
 
1.0%
Other values (168) 181
88.7%
ValueCountFrequency (%)
47 1
 
0.5%
48 3
1.5%
49 4
2.0%
50 1
 
0.5%
53 1
 
0.5%
56 1
 
0.5%
58 1
 
0.5%
212 2
1.0%
225 2
1.0%
226 1
 
0.5%
ValueCountFrequency (%)
2729 1
0.5%
2584 1
0.5%
2546 1
0.5%
2540 1
0.5%
2506 1
0.5%
2482 1
0.5%
2475 1
0.5%
2454 1
0.5%
2447 1
0.5%
2426 1
0.5%

장루요루장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct185
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean880.76961
Minimum39
Maximum4033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:36.347816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile82.2
Q1386
median639
Q3881.25
95-th percentile3060.15
Maximum4033
Range3994
Interquartile range (IQR)495.25

Descriptive statistics

Standard deviation868.77902
Coefficient of variation (CV)0.98638624
Kurtosis3.3978003
Mean880.76961
Median Absolute Deviation (MAD)249.5
Skewness2.0658212
Sum179677
Variance754776.99
MonotonicityNot monotonic
2024-04-11T14:22:36.479056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
591 3
 
1.5%
179 3
 
1.5%
373 2
 
1.0%
655 2
 
1.0%
769 2
 
1.0%
200 2
 
1.0%
601 2
 
1.0%
727 2
 
1.0%
213 2
 
1.0%
574 2
 
1.0%
Other values (175) 182
89.2%
ValueCountFrequency (%)
39 1
0.5%
43 1
0.5%
46 1
0.5%
50 1
0.5%
58 1
0.5%
67 1
0.5%
69 1
0.5%
70 1
0.5%
72 1
0.5%
80 1
0.5%
ValueCountFrequency (%)
4033 1
0.5%
3940 1
0.5%
3742 1
0.5%
3538 1
0.5%
3480 1
0.5%
3389 1
0.5%
3306 1
0.5%
3191 1
0.5%
3122 1
0.5%
3087 1
0.5%

뇌전증장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct156
Distinct (%)76.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean418.78922
Minimum24
Maximum1486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:36.618864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile29.3
Q1245.75
median322.5
Q3416
95-th percentile1396.15
Maximum1486
Range1462
Interquartile range (IQR)170.25

Descriptive statistics

Standard deviation362.36885
Coefficient of variation (CV)0.86527741
Kurtosis2.535193
Mean418.78922
Median Absolute Deviation (MAD)84
Skewness1.8680132
Sum85433
Variance131311.18
MonotonicityNot monotonic
2024-04-11T14:22:36.750853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 5
 
2.5%
268 4
 
2.0%
246 3
 
1.5%
120 3
 
1.5%
277 3
 
1.5%
245 3
 
1.5%
257 3
 
1.5%
251 2
 
1.0%
1416 2
 
1.0%
123 2
 
1.0%
Other values (146) 174
85.3%
ValueCountFrequency (%)
24 1
 
0.5%
25 2
 
1.0%
26 2
 
1.0%
27 5
2.5%
29 1
 
0.5%
31 1
 
0.5%
102 1
 
0.5%
103 2
 
1.0%
104 1
 
0.5%
106 1
 
0.5%
ValueCountFrequency (%)
1486 1
0.5%
1438 1
0.5%
1428 1
0.5%
1421 1
0.5%
1420 1
0.5%
1416 2
1.0%
1414 1
0.5%
1410 1
0.5%
1401 1
0.5%
1399 1
0.5%

지적장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct203
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11943.245
Minimum644
Maximum49698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:36.859716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum644
5-th percentile1188.8
Q16689.75
median10465
Q312710.5
95-th percentile35140.8
Maximum49698
Range49054
Interquartile range (IQR)6020.75

Descriptive statistics

Standard deviation9438.1924
Coefficient of variation (CV)0.79025359
Kurtosis4.8099307
Mean11943.245
Median Absolute Deviation (MAD)3214
Skewness2.0858933
Sum2436422
Variance89079475
MonotonicityNot monotonic
2024-04-11T14:22:36.965417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10174 2
 
1.0%
8675 1
 
0.5%
5940 1
 
0.5%
9487 1
 
0.5%
11339 1
 
0.5%
11702 1
 
0.5%
3049 1
 
0.5%
11027 1
 
0.5%
9653 1
 
0.5%
7698 1
 
0.5%
Other values (193) 193
94.6%
ValueCountFrequency (%)
644 1
0.5%
659 1
0.5%
708 1
0.5%
805 1
0.5%
861 1
0.5%
921 1
0.5%
985 1
0.5%
1062 1
0.5%
1116 1
0.5%
1148 1
0.5%
ValueCountFrequency (%)
49698 1
0.5%
48448 1
0.5%
47295 1
0.5%
45883 1
0.5%
44542 1
0.5%
42933 1
0.5%
41289 1
0.5%
39742 1
0.5%
38203 1
0.5%
36708 1
0.5%

정신장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct199
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5924.7206
Minimum367
Maximum20195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:37.068373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum367
5-th percentile474.2
Q13070
median5285
Q37367.75
95-th percentile16860.15
Maximum20195
Range19828
Interquartile range (IQR)4297.75

Descriptive statistics

Standard deviation4752.6953
Coefficient of variation (CV)0.80218049
Kurtosis1.7966893
Mean5924.7206
Median Absolute Deviation (MAD)2176.5
Skewness1.5309659
Sum1208643
Variance22588112
MonotonicityNot monotonic
2024-04-11T14:22:37.205857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5458 2
 
1.0%
3232 2
 
1.0%
5749 2
 
1.0%
5477 2
 
1.0%
3070 2
 
1.0%
2921 1
 
0.5%
5454 1
 
0.5%
1255 1
 
0.5%
5214 1
 
0.5%
3699 1
 
0.5%
Other values (189) 189
92.6%
ValueCountFrequency (%)
367 1
0.5%
368 1
0.5%
374 1
0.5%
405 1
0.5%
408 1
0.5%
417 1
0.5%
425 1
0.5%
440 1
0.5%
454 1
0.5%
455 1
0.5%
ValueCountFrequency (%)
20195 1
0.5%
20146 1
0.5%
19886 1
0.5%
19563 1
0.5%
19303 1
0.5%
19016 1
0.5%
18496 1
0.5%
18215 1
0.5%
17788 1
0.5%
17258 1
0.5%

자폐성장애인수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct196
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1585.2794
Minimum27
Maximum11767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-04-11T14:22:37.321064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile270.85
Q1614.75
median920
Q31418.5
95-th percentile6357.55
Maximum11767
Range11740
Interquartile range (IQR)803.75

Descriptive statistics

Standard deviation1963.3431
Coefficient of variation (CV)1.238484
Kurtosis7.6622447
Mean1585.2794
Median Absolute Deviation (MAD)358.5
Skewness2.7316241
Sum323397
Variance3854716.3
MonotonicityNot monotonic
2024-04-11T14:22:37.424595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1188 3
 
1.5%
777 2
 
1.0%
1329 2
 
1.0%
933 2
 
1.0%
920 2
 
1.0%
729 2
 
1.0%
1423 2
 
1.0%
1068 1
 
0.5%
820 1
 
0.5%
608 1
 
0.5%
Other values (186) 186
91.2%
ValueCountFrequency (%)
27 1
0.5%
35 1
0.5%
44 1
0.5%
67 1
0.5%
88 1
0.5%
112 1
0.5%
144 1
0.5%
170 1
0.5%
208 1
0.5%
230 1
0.5%
ValueCountFrequency (%)
11767 1
0.5%
10284 1
0.5%
9155 1
0.5%
8305 1
0.5%
8287 1
0.5%
7624 1
0.5%
7491 1
0.5%
7037 1
0.5%
6855 1
0.5%
6415 1
0.5%

Interactions

2024-04-11T14:22:31.663170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:10.383099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:11.810807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:13.054160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:14.441505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:15.623126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:16.911722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:18.047434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:19.495256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:20.674930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:21.944655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:23.363436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:24.687224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:26.174520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:27.496443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:29.019439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:30.217603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:31.729914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:10.641291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:11.880272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:13.120673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:14.505895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:15.688002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:16.978907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:18.109851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:19.560261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:20.738439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:22.018704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:23.437491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:24.761295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:26.248302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:27.566398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:29.083898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:30.294218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:31.806139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:10.757510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:11.964723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:13.200122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:14.570531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:15.755638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:17.042430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:18.176136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:19.625914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:20.806160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:22.088315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:23.518248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:24.837300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:26.319165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-04-11T14:22:21.724891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:23.109343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:24.459193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:25.915118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:27.250109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:28.803100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:30.016161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:31.255812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:32.739393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:11.673665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:12.912434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:14.267305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:15.474345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:16.755243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:17.911239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:19.197786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:20.532949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:21.804305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:23.189912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:24.528908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:26.005641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:27.338847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:28.873702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:30.078520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:31.503803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:32.815936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:11.745936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:12.986942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:14.363322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:15.557188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:16.829775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:17.983102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:19.269061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:20.605355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:21.873933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:23.273054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:24.613424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:26.099402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:27.424110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:28.948539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:30.151579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T14:22:31.581979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T14:22:37.521511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시도명합계(명)지체장애인수(명)뇌병변장애인수(명)시각장애인수(명)청각장애인수(명)언어장애인수(명)안면장애인수(명)신장장애인수(명)심장장애인수(명)간장애인수(명)호흡기장애인수(명)장루요루장애인수(명)뇌전증장애인수(명)지적장애인수(명)정신장애인수(명)자폐성장애인수(명)
기준년도1.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.1340.0000.0000.0000.0000.0000.047
시도명0.0001.0000.9520.9430.9660.9890.8100.8890.9480.8140.8590.7980.9460.9040.9810.8860.9590.685
합계(명)0.0000.9521.0000.9100.9740.9280.8880.8750.8960.8210.7950.8500.9510.9620.9130.9570.9840.772
지체장애인수(명)0.0000.9430.9101.0000.9210.9410.8560.9410.9700.8150.8200.8060.8730.8440.9090.9130.9290.778
뇌병변장애인수(명)0.0000.9660.9740.9211.0000.9580.8200.8490.9260.7960.8350.8520.9690.9480.9400.8970.9830.766
시각장애인수(명)0.0000.9890.9280.9410.9581.0000.8420.8580.9340.8460.8970.8340.8830.8430.9880.9110.9370.743
청각장애인수(명)0.0000.8100.8880.8560.8200.8421.0000.9010.8690.9180.7800.9190.8010.9150.8340.9670.8800.936
언어장애인수(명)0.0000.8890.8750.9410.8490.8580.9011.0000.9720.8740.8010.8950.8380.9420.8460.9260.9090.853
안면장애인수(명)0.0000.9480.8960.9700.9260.9340.8690.9721.0000.8510.8830.8560.8720.9020.8830.9070.9290.809
신장장애인수(명)0.0000.8140.8210.8150.7960.8460.9180.8740.8511.0000.9160.9840.8040.9200.8360.8740.8560.900
심장장애인수(명)0.0000.8590.7950.8200.8350.8970.7800.8010.8830.9161.0000.9250.8600.8310.8830.8600.8290.824
간장애인수(명)0.1340.7980.8500.8060.8520.8340.9190.8950.8560.9840.9251.0000.8010.9350.8370.9020.8590.886
호흡기장애인수(명)0.0000.9460.9510.8730.9690.8830.8010.8380.8720.8040.8600.8011.0000.9510.9170.8810.9480.776
장루요루장애인수(명)0.0000.9040.9620.8440.9480.8430.9150.9420.9020.9200.8310.9350.9511.0000.8030.9280.9770.862
뇌전증장애인수(명)0.0000.9810.9130.9090.9400.9880.8340.8460.8830.8360.8830.8370.9170.8031.0000.9050.8880.747
지적장애인수(명)0.0000.8860.9570.9130.8970.9110.9670.9260.9070.8740.8600.9020.8810.9280.9051.0000.9260.921
정신장애인수(명)0.0000.9590.9840.9290.9830.9370.8800.9090.9290.8560.8290.8590.9480.9770.8880.9261.0000.790
자폐성장애인수(명)0.0470.6850.7720.7780.7660.7430.9360.8530.8090.9000.8240.8860.7760.8620.7470.9210.7901.000
2024-04-11T14:22:37.687869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도합계(명)지체장애인수(명)뇌병변장애인수(명)시각장애인수(명)청각장애인수(명)언어장애인수(명)안면장애인수(명)신장장애인수(명)심장장애인수(명)간장애인수(명)호흡기장애인수(명)장루요루장애인수(명)뇌전증장애인수(명)지적장애인수(명)정신장애인수(명)자폐성장애인수(명)시도명
기준년도1.0000.060-0.095-0.035-0.0450.2810.1560.0180.270-0.1840.335-0.1350.155-0.0420.1750.0770.4110.000
합계(명)0.0601.0000.9820.9650.9780.9360.9660.9460.9230.8810.9120.9300.9570.9140.9450.9540.8000.809
지체장애인수(명)-0.0950.9821.0000.9640.9800.8710.9330.9350.8640.8980.8430.9490.9230.9210.9100.9370.7160.758
뇌병변장애인수(명)-0.0350.9650.9641.0000.9760.8860.9580.9800.9200.9180.8870.9290.9350.9210.8870.9620.7930.855
시각장애인수(명)-0.0450.9780.9800.9761.0000.8900.9370.9520.9060.9170.8860.9590.9470.9140.9000.9570.7590.933
청각장애인수(명)0.2810.9360.8710.8860.8901.0000.9490.8890.9300.7830.9550.8210.9290.8400.9520.9140.8320.476
언어장애인수(명)0.1560.9660.9330.9580.9370.9491.0000.9460.9440.8350.9300.8750.9480.9240.9350.9380.8450.628
안면장애인수(명)0.0180.9460.9350.9800.9520.8890.9461.0000.9360.9100.9030.9110.9540.8690.8840.9460.8240.773
신장장애인수(명)0.2700.9230.8640.9200.9060.9300.9440.9361.0000.8080.9800.8400.9590.8340.8760.9190.9420.487
심장장애인수(명)-0.1840.8810.8980.9180.9170.7830.8350.9100.8081.0000.7840.8920.8460.8320.7850.8750.6730.556
간장애인수(명)0.3350.9120.8430.8870.8860.9550.9300.9030.9800.7841.0000.8070.9440.7960.8990.9070.9140.465
호흡기장애인수(명)-0.1350.9300.9490.9290.9590.8210.8750.9110.8400.8920.8071.0000.9230.8550.8230.8810.6860.792
장루요루장애인수(명)0.1550.9570.9230.9350.9470.9290.9480.9540.9590.8460.9440.9231.0000.8400.9130.9180.8570.689
뇌전증장애인수(명)-0.0420.9140.9210.9210.9140.8400.9240.8690.8340.8320.7960.8550.8401.0000.8480.9040.7230.900
지적장애인수(명)0.1750.9450.9100.8870.9000.9520.9350.8840.8760.7850.8990.8230.9130.8481.0000.9290.7630.603
정신장애인수(명)0.0770.9540.9370.9620.9570.9140.9380.9460.9190.8750.9070.8810.9180.9040.9291.0000.8030.833
자폐성장애인수(명)0.4110.8000.7160.7930.7590.8320.8450.8240.9420.6730.9140.6860.8570.7230.7630.8031.0000.342
시도명0.0000.8090.7580.8550.9330.4760.6280.7730.4870.5560.4650.7920.6890.9000.6030.8330.3421.000

Missing values

2024-04-11T14:22:32.927584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T14:22:33.103790image/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

기준년도시도명합계(명)지체장애인수(명)뇌병변장애인수(명)시각장애인수(명)청각장애인수(명)언어장애인수(명)안면장애인수(명)신장장애인수(명)심장장애인수(명)간장애인수(명)호흡기장애인수(명)장루요루장애인수(명)뇌전증장애인수(명)지적장애인수(명)정신장애인수(명)자폐성장애인수(명)
02023강원1005204818687209210150187871043447127559452706222867532391068
12023경기58642126067054230546858941752666512661712434046247540331428496982019511767
22023경남188825869981683516783280851545200726129195077911324161662079662964
32023경북17834175032147041510337171131219257212709986009083661686472771823
42023광주69314283406646709710257609632740129417273433268764532061191
52023대구13052049676122281185428779115414753632297583876843271112960031802
62023대전71440307186887681110060618823024118387272427263717632681329
72023부산175467739361861617583271981593226837741593792211985521286281902862
82023서울389795160403389404070663858330839319121942279021123122121928025165518305
92023세종1294457841098123118061281453525855889251233481352
기준년도시도명합계(명)지체장애인수(명)뇌병변장애인수(명)시각장애인수(명)청각장애인수(명)언어장애인수(명)안면장애인수(명)신장장애인수(명)심장장애인수(명)간장애인수(명)호흡기장애인수(명)장루요루장애인수(명)뇌전증장애인수(명)지적장애인수(명)정신장애인수(명)자폐성장애인수(명)
1942012부산17074389257201241832214405107925751457044761099920598955376581146
1952012서울4075282080744504142937419772827433134511812192124232717143823206153783893
1962012세종70813615647705763497104112049392764437427
1972012울산489822545547454868628629066121727818423620012034091254374
1982012인천133467727651276113483134711009145376930744073370841482944248920
1992012전남145788790401219514874170451027982383317349852596469103425745456
2002012전북1330547241412915120161393210811192010238292465549499106385377509
2012012제주3240514397337542004292293238919910027916216126981131304
2022012충남12487266779112311208613656904114236828333782568732597935036448
2032012충북9413748897899589571012060690197222727048154927186983520484