Overview

Dataset statistics

Number of variables19
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory173.4 B

Variable types

Numeric17
Categorical2

Dataset

Description장애유형별 정도별 장애인연금 수급자 집계
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=5CUMLRAEU3FGIKX9MPX825512636&infSeq=1

Alerts

전체수급자수(명) is highly overall correlated with 지체수급자수(명) and 15 other fieldsHigh correlation
지체수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
뇌병변수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
시각수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
청각수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
언어수급자수(명) is highly overall correlated with 전체수급자수(명) and 14 other fieldsHigh correlation
안면수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
신장수급자수(명) is highly overall correlated with 전체수급자수(명) and 14 other fieldsHigh correlation
심장수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
간수급자수(명) is highly overall correlated with 전체수급자수(명) and 14 other fieldsHigh correlation
호흡기수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
장루요루수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
뇌전증수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
지적수급자수(명) is highly overall correlated with 전체수급자수(명) and 14 other fieldsHigh correlation
정신수급자수(명) is highly overall correlated with 전체수급자수(명) and 15 other fieldsHigh correlation
자폐성수급자수(명) is highly overall correlated with 전체수급자수(명) and 14 other fieldsHigh correlation
장애정도별 is highly overall correlated with 전체수급자수(명) and 10 other fieldsHigh correlation
기타수급자수(명) is highly imbalanced (53.0%)Imbalance
전체수급자수(명) has 5 (12.8%) zerosZeros
지체수급자수(명) has 5 (12.8%) zerosZeros
뇌병변수급자수(명) has 5 (12.8%) zerosZeros
시각수급자수(명) has 9 (23.1%) zerosZeros
청각수급자수(명) has 9 (23.1%) zerosZeros
언어수급자수(명) has 11 (28.2%) zerosZeros
안면수급자수(명) has 15 (38.5%) zerosZeros
신장수급자수(명) has 8 (20.5%) zerosZeros
심장수급자수(명) has 10 (25.6%) zerosZeros
간수급자수(명) has 9 (23.1%) zerosZeros
호흡기수급자수(명) has 12 (30.8%) zerosZeros
장루요루수급자수(명) has 16 (41.0%) zerosZeros
뇌전증수급자수(명) has 13 (33.3%) zerosZeros
지적수급자수(명) has 7 (17.9%) zerosZeros
정신수급자수(명) has 11 (28.2%) zerosZeros
자폐성수급자수(명) has 19 (48.7%) zerosZeros

Reproduction

Analysis started2024-04-11 02:41:32.819942
Analysis finished2024-04-11 02:42:14.032777
Duration41.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct11
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.6154
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:14.125063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12015
median2017
Q32020
95-th percentile2023
Maximum2023
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.1590754
Coefficient of variation (CV)0.0015657471
Kurtosis-1.133726
Mean2017.6154
Median Absolute Deviation (MAD)3
Skewness0.18898148
Sum78687
Variance9.9797571
MonotonicityDecreasing
2024-04-11T11:42:14.258996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2018 4
10.3%
2017 4
10.3%
2016 4
10.3%
2015 4
10.3%
2014 4
10.3%
2013 4
10.3%
2023 3
7.7%
2022 3
7.7%
2021 3
7.7%
2020 3
7.7%
ValueCountFrequency (%)
2013 4
10.3%
2014 4
10.3%
2015 4
10.3%
2016 4
10.3%
2017 4
10.3%
2018 4
10.3%
2019 3
7.7%
2020 3
7.7%
2021 3
7.7%
2022 3
7.7%
ValueCountFrequency (%)
2023 3
7.7%
2022 3
7.7%
2021 3
7.7%
2020 3
7.7%
2019 3
7.7%
2018 4
10.3%
2017 4
10.3%
2016 4
10.3%
2015 4
10.3%
2014 4
10.3%

장애정도별
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
기타
11 
1급
2급
심하지 않은 장애(경증)
심한장애(중증)
Other values (2)

Length

Max length13
Median length2
Mean length4.6153846
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row기타
2nd row심하지 않은 장애(경증)
3rd row심한장애(중증)
4th row기타
5th row심하지 않은 장애(경증)

Common Values

ValueCountFrequency (%)
기타 11
28.2%
1급 6
15.4%
2급 6
15.4%
심하지 않은 장애(경증) 5
12.8%
심한장애(중증) 5
12.8%
3급 중복 5
12.8%
3급중복 1
 
2.6%

Length

2024-04-11T11:42:14.410142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:42:14.560606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 11
20.4%
1급 6
11.1%
2급 6
11.1%
심하지 5
9.3%
않은 5
9.3%
장애(경증 5
9.3%
심한장애(중증 5
9.3%
3급 5
9.3%
중복 5
9.3%
3급중복 1
 
1.9%

전체수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18964.128
Minimum0
Maximum73753
Zeros5
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:14.733501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q153.5
median2470
Q331667
95-th percentile71903.2
Maximum73753
Range73753
Interquartile range (IQR)31613.5

Descriptive statistics

Standard deviation24974.081
Coefficient of variation (CV)1.3169117
Kurtosis0.20673172
Mean18964.128
Median Absolute Deviation (MAD)2470
Skewness1.1736121
Sum739601
Variance6.2370475 × 108
MonotonicityNot monotonic
2024-04-11T11:42:14.908965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 5
 
12.8%
87 1
 
2.6%
38162 1
 
2.6%
2470 1
 
2.6%
22 1
 
2.6%
24092 1
 
2.6%
36332 1
 
2.6%
2231 1
 
2.6%
57 1
 
2.6%
22475 1
 
2.6%
Other values (25) 25
64.1%
ValueCountFrequency (%)
0 5
12.8%
20 1
 
2.6%
22 1
 
2.6%
29 1
 
2.6%
48 1
 
2.6%
52 1
 
2.6%
55 1
 
2.6%
57 1
 
2.6%
72 1
 
2.6%
87 1
 
2.6%
ValueCountFrequency (%)
73753 1
2.6%
73633 1
2.6%
71711 1
2.6%
71612 1
2.6%
70520 1
2.6%
40875 1
2.6%
39886 1
2.6%
38162 1
2.6%
36332 1
2.6%
33306 1
2.6%

지체수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2828.8718
Minimum0
Maximum10407
Zeros5
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:15.096388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median689
Q35424
95-th percentile10137.2
Maximum10407
Range10407
Interquartile range (IQR)5419

Descriptive statistics

Standard deviation3497.2277
Coefficient of variation (CV)1.2362624
Kurtosis-0.25427079
Mean2828.8718
Median Absolute Deviation (MAD)689
Skewness0.99408706
Sum110326
Variance12230602
MonotonicityNot monotonic
2024-04-11T11:42:15.271463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 5
 
12.8%
5 2
 
5.1%
2 2
 
5.1%
3 2
 
5.1%
10 2
 
5.1%
3402 1
 
2.6%
563 1
 
2.6%
5610 1
 
2.6%
5238 1
 
2.6%
621 1
 
2.6%
Other values (21) 21
53.8%
ValueCountFrequency (%)
0 5
12.8%
2 2
 
5.1%
3 2
 
5.1%
5 2
 
5.1%
6 1
 
2.6%
7 1
 
2.6%
9 1
 
2.6%
10 2
 
5.1%
446 1
 
2.6%
563 1
 
2.6%
ValueCountFrequency (%)
10407 1
2.6%
10292 1
2.6%
10120 1
2.6%
9600 1
2.6%
9179 1
2.6%
5902 1
2.6%
5897 1
2.6%
5830 1
2.6%
5807 1
2.6%
5610 1
2.6%

뇌병변수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3592.2308
Minimum0
Maximum13532
Zeros5
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:15.791364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median377
Q36286.5
95-th percentile12982.7
Maximum13532
Range13532
Interquartile range (IQR)6278.5

Descriptive statistics

Standard deviation4479.1326
Coefficient of variation (CV)1.2468944
Kurtosis-0.33269971
Mean3592.2308
Median Absolute Deviation (MAD)377
Skewness0.93034741
Sum140097
Variance20062628
MonotonicityNot monotonic
2024-04-11T11:42:15.963560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 5
 
12.8%
14 2
 
5.1%
19 2
 
5.1%
4 2
 
5.1%
8 2
 
5.1%
11812 1
 
2.6%
377 1
 
2.6%
264 1
 
2.6%
5283 1
 
2.6%
5431 1
 
2.6%
Other values (21) 21
53.8%
ValueCountFrequency (%)
0 5
12.8%
4 2
 
5.1%
5 1
 
2.6%
7 1
 
2.6%
8 2
 
5.1%
14 2
 
5.1%
16 1
 
2.6%
19 2
 
5.1%
264 1
 
2.6%
306 1
 
2.6%
ValueCountFrequency (%)
13532 1
2.6%
13268 1
2.6%
12951 1
2.6%
11812 1
2.6%
11177 1
2.6%
7060 1
2.6%
7056 1
2.6%
6802 1
2.6%
6586 1
2.6%
6320 1
2.6%

시각수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1336.5385
Minimum0
Maximum5036
Zeros9
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:16.139775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median101
Q33484.5
95-th percentile4875.3
Maximum5036
Range5036
Interquartile range (IQR)3483.5

Descriptive statistics

Standard deviation1911.0195
Coefficient of variation (CV)1.4298275
Kurtosis-0.7947186
Mean1336.5385
Median Absolute Deviation (MAD)101
Skewness1.0299914
Sum52125
Variance3651995.5
MonotonicityNot monotonic
2024-04-11T11:42:16.301426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 9
23.1%
2 3
 
7.7%
101 2
 
5.1%
1 2
 
5.1%
775 1
 
2.6%
78 1
 
2.6%
649 1
 
2.6%
3339 1
 
2.6%
3 1
 
2.6%
93 1
 
2.6%
Other values (17) 17
43.6%
ValueCountFrequency (%)
0 9
23.1%
1 2
 
5.1%
2 3
 
7.7%
3 1
 
2.6%
5 1
 
2.6%
78 1
 
2.6%
93 1
 
2.6%
96 1
 
2.6%
101 2
 
5.1%
106 1
 
2.6%
ValueCountFrequency (%)
5036 1
2.6%
4950 1
2.6%
4867 1
2.6%
4685 1
2.6%
4520 1
2.6%
4187 1
2.6%
4111 1
2.6%
3970 1
2.6%
3833 1
2.6%
3630 1
2.6%

청각수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1615.3077
Minimum0
Maximum6295
Zeros9
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:16.460582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median245
Q33749.5
95-th percentile6241.9
Maximum6295
Range6295
Interquartile range (IQR)3748.5

Descriptive statistics

Standard deviation2326.8979
Coefficient of variation (CV)1.4405292
Kurtosis-0.53815746
Mean1615.3077
Median Absolute Deviation (MAD)245
Skewness1.110548
Sum62997
Variance5414453.9
MonotonicityNot monotonic
2024-04-11T11:42:16.618649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 9
23.1%
1 4
 
10.3%
2 2
 
5.1%
158 1
 
2.6%
3473 1
 
2.6%
657 1
 
2.6%
186 1
 
2.6%
4026 1
 
2.6%
730 1
 
2.6%
209 1
 
2.6%
Other values (17) 17
43.6%
ValueCountFrequency (%)
0 9
23.1%
1 4
10.3%
2 2
 
5.1%
3 1
 
2.6%
158 1
 
2.6%
186 1
 
2.6%
209 1
 
2.6%
245 1
 
2.6%
250 1
 
2.6%
274 1
 
2.6%
ValueCountFrequency (%)
6295 1
2.6%
6250 1
2.6%
6241 1
2.6%
5944 1
2.6%
5608 1
2.6%
4965 1
2.6%
4881 1
2.6%
4703 1
2.6%
4476 1
2.6%
4026 1
2.6%

언어수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1851.5897
Minimum0
Maximum7834
Zeros11
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:16.795844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median322
Q32854
95-th percentile7358.8
Maximum7834
Range7834
Interquartile range (IQR)2854

Descriptive statistics

Standard deviation2922.7495
Coefficient of variation (CV)1.5785081
Kurtosis-0.43296818
Mean1851.5897
Median Absolute Deviation (MAD)322
Skewness1.2127758
Sum72212
Variance8542464.4
MonotonicityNot monotonic
2024-04-11T11:42:16.962012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 11
28.2%
3 2
 
5.1%
509 2
 
5.1%
1 2
 
5.1%
7153 1
 
2.6%
322 1
 
2.6%
5171 1
 
2.6%
6166 1
 
2.6%
368 1
 
2.6%
5725 1
 
2.6%
Other values (16) 16
41.0%
ValueCountFrequency (%)
0 11
28.2%
1 2
 
5.1%
2 1
 
2.6%
3 2
 
5.1%
7 1
 
2.6%
166 1
 
2.6%
266 1
 
2.6%
322 1
 
2.6%
368 1
 
2.6%
460 1
 
2.6%
ValueCountFrequency (%)
7834 1
2.6%
7618 1
2.6%
7330 1
2.6%
7153 1
2.6%
6989 1
2.6%
6557 1
2.6%
6502 1
2.6%
6166 1
2.6%
5725 1
2.6%
5171 1
2.6%

안면수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.717949
Minimum0
Maximum62
Zeros15
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:17.138927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q328
95-th percentile59.1
Maximum62
Range62
Interquartile range (IQR)28

Descriptive statistics

Standard deviation20.10492
Coefficient of variation (CV)1.3660138
Kurtosis0.59645815
Mean14.717949
Median Absolute Deviation (MAD)5
Skewness1.3685034
Sum574
Variance404.20783
MonotonicityNot monotonic
2024-04-11T11:42:17.278671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 15
38.5%
5 4
 
10.3%
6 2
 
5.1%
29 2
 
5.1%
32 2
 
5.1%
55 1
 
2.6%
59 1
 
2.6%
34 1
 
2.6%
14 1
 
2.6%
62 1
 
2.6%
Other values (9) 9
23.1%
ValueCountFrequency (%)
0 15
38.5%
1 1
 
2.6%
5 4
 
10.3%
6 2
 
5.1%
8 1
 
2.6%
9 1
 
2.6%
10 1
 
2.6%
11 1
 
2.6%
12 1
 
2.6%
14 1
 
2.6%
ValueCountFrequency (%)
62 1
2.6%
60 1
2.6%
59 1
2.6%
58 1
2.6%
55 1
2.6%
34 1
2.6%
32 2
5.1%
29 2
5.1%
27 1
2.6%
14 1
2.6%

신장수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2548.2308
Minimum0
Maximum10661
Zeros8
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:17.450956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median30
Q35521.5
95-th percentile10463.6
Maximum10661
Range10661
Interquartile range (IQR)5520.5

Descriptive statistics

Standard deviation4014.8749
Coefficient of variation (CV)1.5755539
Kurtosis-0.34900291
Mean2548.2308
Median Absolute Deviation (MAD)30
Skewness1.1963307
Sum99381
Variance16119220
MonotonicityNot monotonic
2024-04-11T11:42:17.620428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 8
 
20.5%
1 3
 
7.7%
29 1
 
2.6%
3 1
 
2.6%
4972 1
 
2.6%
442 1
 
2.6%
36 1
 
2.6%
6071 1
 
2.6%
574 1
 
2.6%
43 1
 
2.6%
Other values (20) 20
51.3%
ValueCountFrequency (%)
0 8
20.5%
1 3
 
7.7%
3 1
 
2.6%
5 1
 
2.6%
8 1
 
2.6%
9 1
 
2.6%
10 1
 
2.6%
12 1
 
2.6%
14 1
 
2.6%
29 1
 
2.6%
ValueCountFrequency (%)
10661 1
2.6%
10586 1
2.6%
10450 1
2.6%
10411 1
2.6%
10148 1
2.6%
8791 1
2.6%
8341 1
2.6%
7664 1
2.6%
7033 1
2.6%
6071 1
2.6%

심장수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.333333
Minimum0
Maximum120
Zeros10
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:17.789143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median15
Q358
95-th percentile113.4
Maximum120
Range120
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation38.159177
Coefficient of variation (CV)1.2178461
Kurtosis-0.012438019
Mean31.333333
Median Absolute Deviation (MAD)15
Skewness1.1068144
Sum1222
Variance1456.1228
MonotonicityNot monotonic
2024-04-11T11:42:17.982856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 10
25.6%
1 4
 
10.3%
32 2
 
5.1%
63 1
 
2.6%
27 1
 
2.6%
54 1
 
2.6%
16 1
 
2.6%
33 1
 
2.6%
62 1
 
2.6%
13 1
 
2.6%
Other values (16) 16
41.0%
ValueCountFrequency (%)
0 10
25.6%
1 4
 
10.3%
2 1
 
2.6%
3 1
 
2.6%
9 1
 
2.6%
11 1
 
2.6%
13 1
 
2.6%
15 1
 
2.6%
16 1
 
2.6%
17 1
 
2.6%
ValueCountFrequency (%)
120 1
2.6%
117 1
2.6%
113 1
2.6%
100 1
2.6%
91 1
2.6%
77 1
2.6%
76 1
2.6%
70 1
2.6%
63 1
2.6%
62 1
2.6%

간수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.051282
Minimum0
Maximum41
Zeros9
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:18.161861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q329
95-th percentile40.1
Maximum41
Range41
Interquartile range (IQR)28

Descriptive statistics

Standard deviation15.739573
Coefficient of variation (CV)1.1201521
Kurtosis-1.3993294
Mean14.051282
Median Absolute Deviation (MAD)2
Skewness0.57856169
Sum548
Variance247.73414
MonotonicityNot monotonic
2024-04-11T11:42:18.315945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 9
23.1%
2 7
17.9%
1 4
 
10.3%
41 2
 
5.1%
25 2
 
5.1%
36 1
 
2.6%
6 1
 
2.6%
37 1
 
2.6%
31 1
 
2.6%
40 1
 
2.6%
Other values (10) 10
25.6%
ValueCountFrequency (%)
0 9
23.1%
1 4
10.3%
2 7
17.9%
3 1
 
2.6%
6 1
 
2.6%
18 1
 
2.6%
19 1
 
2.6%
20 1
 
2.6%
21 1
 
2.6%
25 2
 
5.1%
ValueCountFrequency (%)
41 2
5.1%
40 1
2.6%
39 1
2.6%
38 1
2.6%
37 1
2.6%
36 1
2.6%
32 1
2.6%
31 1
2.6%
30 1
2.6%
28 1
2.6%

호흡기수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.53846
Minimum0
Maximum742
Zeros12
Zeros (%)30.8%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:18.466555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median62
Q3319.5
95-th percentile727.5
Maximum742
Range742
Interquartile range (IQR)319.5

Descriptive statistics

Standard deviation239.27289
Coefficient of variation (CV)1.2623976
Kurtosis0.221455
Mean189.53846
Median Absolute Deviation (MAD)62
Skewness1.1698237
Sum7392
Variance57251.518
MonotonicityNot monotonic
2024-04-11T11:42:18.639483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 12
30.8%
4 2
 
5.1%
395 1
 
2.6%
47 1
 
2.6%
293 1
 
2.6%
196 1
 
2.6%
51 1
 
2.6%
346 1
 
2.6%
209 1
 
2.6%
1 1
 
2.6%
Other values (17) 17
43.6%
ValueCountFrequency (%)
0 12
30.8%
1 1
 
2.6%
2 1
 
2.6%
4 2
 
5.1%
47 1
 
2.6%
51 1
 
2.6%
61 1
 
2.6%
62 1
 
2.6%
63 1
 
2.6%
71 1
 
2.6%
ValueCountFrequency (%)
742 1
2.6%
732 1
2.6%
727 1
2.6%
647 1
2.6%
606 1
2.6%
437 1
2.6%
420 1
2.6%
395 1
2.6%
374 1
2.6%
346 1
2.6%

장루요루수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.974359
Minimum0
Maximum25
Zeros16
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:18.796152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312.5
95-th percentile23.1
Maximum25
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation8.0278698
Coefficient of variation (CV)1.3437207
Kurtosis-0.025419564
Mean5.974359
Median Absolute Deviation (MAD)1
Skewness1.1626404
Sum233
Variance64.446694
MonotonicityNot monotonic
2024-04-11T11:42:18.940650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 16
41.0%
1 4
 
10.3%
3 3
 
7.7%
15 2
 
5.1%
6 2
 
5.1%
25 1
 
2.6%
18 1
 
2.6%
23 1
 
2.6%
20 1
 
2.6%
2 1
 
2.6%
Other values (7) 7
17.9%
ValueCountFrequency (%)
0 16
41.0%
1 4
 
10.3%
2 1
 
2.6%
3 3
 
7.7%
4 1
 
2.6%
6 2
 
5.1%
7 1
 
2.6%
12 1
 
2.6%
13 1
 
2.6%
14 1
 
2.6%
ValueCountFrequency (%)
25 1
2.6%
24 1
2.6%
23 1
2.6%
20 1
2.6%
18 1
2.6%
16 1
2.6%
15 2
5.1%
14 1
2.6%
13 1
2.6%
12 1
2.6%

뇌전증수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.461538
Minimum0
Maximum122
Zeros13
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:19.092919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q341.5
95-th percentile96.1
Maximum122
Range122
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation34.596049
Coefficient of variation (CV)1.4745857
Kurtosis1.5551568
Mean23.461538
Median Absolute Deviation (MAD)7
Skewness1.5971377
Sum915
Variance1196.8866
MonotonicityNot monotonic
2024-04-11T11:42:19.277425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 13
33.3%
1 3
 
7.7%
6 3
 
7.7%
15 2
 
5.1%
7 2
 
5.1%
14 2
 
5.1%
79 1
 
2.6%
86 1
 
2.6%
60 1
 
2.6%
94 1
 
2.6%
Other values (10) 10
25.6%
ValueCountFrequency (%)
0 13
33.3%
1 3
 
7.7%
6 3
 
7.7%
7 2
 
5.1%
8 1
 
2.6%
9 1
 
2.6%
12 1
 
2.6%
14 2
 
5.1%
15 2
 
5.1%
39 1
 
2.6%
ValueCountFrequency (%)
122 1
2.6%
115 1
2.6%
94 1
2.6%
86 1
2.6%
79 1
2.6%
60 1
2.6%
56 1
2.6%
53 1
2.6%
45 1
2.6%
44 1
2.6%

지적수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2950.0513
Minimum0
Maximum20263
Zeros7
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:19.445968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median11
Q3237.5
95-th percentile19537.8
Maximum20263
Range20263
Interquartile range (IQR)236

Descriptive statistics

Standard deviation6609.7112
Coefficient of variation (CV)2.2405411
Kurtosis2.6800625
Mean2950.0513
Median Absolute Deviation (MAD)11
Skewness2.0711884
Sum115052
Variance43688282
MonotonicityNot monotonic
2024-04-11T11:42:19.628063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 7
17.9%
2 3
 
7.7%
1 3
 
7.7%
11 2
 
5.1%
8 2
 
5.1%
10 2
 
5.1%
4 1
 
2.6%
78 1
 
2.6%
139 1
 
2.6%
97 1
 
2.6%
Other values (16) 16
41.0%
ValueCountFrequency (%)
0 7
17.9%
1 3
7.7%
2 3
7.7%
3 1
 
2.6%
4 1
 
2.6%
8 2
 
5.1%
10 2
 
5.1%
11 2
 
5.1%
78 1
 
2.6%
97 1
 
2.6%
ValueCountFrequency (%)
20263 1
2.6%
19968 1
2.6%
19490 1
2.6%
19169 1
2.6%
17589 1
2.6%
8404 1
2.6%
7894 1
2.6%
568 1
2.6%
267 1
2.6%
247 1
2.6%

정신수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1363.4359
Minimum0
Maximum4868
Zeros11
Zeros (%)28.2%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:19.815919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median282
Q34295.5
95-th percentile4767.5
Maximum4868
Range4868
Interquartile range (IQR)4295.5

Descriptive statistics

Standard deviation1999.6321
Coefficient of variation (CV)1.4666125
Kurtosis-1.0073393
Mean1363.4359
Median Absolute Deviation (MAD)282
Skewness1.0043758
Sum53174
Variance3998528.5
MonotonicityNot monotonic
2024-04-11T11:42:20.333455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 11
28.2%
6 3
 
7.7%
18 1
 
2.6%
297 1
 
2.6%
270 1
 
2.6%
4413 1
 
2.6%
372 1
 
2.6%
249 1
 
2.6%
4289 1
 
2.6%
338 1
 
2.6%
Other values (17) 17
43.6%
ValueCountFrequency (%)
0 11
28.2%
6 3
 
7.7%
8 1
 
2.6%
18 1
 
2.6%
249 1
 
2.6%
270 1
 
2.6%
276 1
 
2.6%
282 1
 
2.6%
284 1
 
2.6%
297 1
 
2.6%
ValueCountFrequency (%)
4868 1
2.6%
4799 1
2.6%
4764 1
2.6%
4570 1
2.6%
4444 1
2.6%
4413 1
2.6%
4358 1
2.6%
4356 1
2.6%
4352 1
2.6%
4302 1
2.6%

자폐성수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean591.53846
Minimum0
Maximum3434
Zeros19
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-11T11:42:20.476107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q3704
95-th percentile2979.2
Maximum3434
Range3434
Interquartile range (IQR)704

Descriptive statistics

Standard deviation992.88895
Coefficient of variation (CV)1.6784859
Kurtosis2.4772443
Mean591.53846
Median Absolute Deviation (MAD)1
Skewness1.880095
Sum23070
Variance985828.47
MonotonicityNot monotonic
2024-04-11T11:42:20.625843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 19
48.7%
1 3
 
7.7%
991 1
 
2.6%
221 1
 
2.6%
576 1
 
2.6%
302 1
 
2.6%
699 1
 
2.6%
416 1
 
2.6%
865 1
 
2.6%
512 1
 
2.6%
Other values (9) 9
23.1%
ValueCountFrequency (%)
0 19
48.7%
1 3
 
7.7%
221 1
 
2.6%
302 1
 
2.6%
416 1
 
2.6%
512 1
 
2.6%
576 1
 
2.6%
601 1
 
2.6%
699 1
 
2.6%
709 1
 
2.6%
ValueCountFrequency (%)
3434 1
2.6%
3233 1
2.6%
2951 1
2.6%
2817 1
2.6%
2277 1
2.6%
1309 1
2.6%
1154 1
2.6%
991 1
2.6%
865 1
2.6%
709 1
2.6%

기타수급자수(명)
Categorical

IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
0
31 
1
3
 
2
120
 
1
153
 
1

Length

Max length3
Median length1
Mean length1.1025641
Min length1

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
79.5%
1 4
 
10.3%
3 2
 
5.1%
120 1
 
2.6%
153 1
 
2.6%

Length

2024-04-11T11:42:20.803894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T11:42:20.961570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
79.5%
1 4
 
10.3%
3 2
 
5.1%
120 1
 
2.6%
153 1
 
2.6%

Interactions

2024-04-11T11:42:11.402761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:35.269058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:37.535394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:39.685802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:42.116584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:44.219580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:46.613874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:48.769032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:51.311683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:53.353491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:55.738324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:57.837742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:59.938869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:02.379918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:04.482492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:07.000415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:09.080861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:11.527059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:35.634620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:37.671137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:39.800654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:42.252766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:44.340384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:46.724296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:48.895562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:51.406827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:53.464941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:55.852090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:57.945222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:00.051198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-04-11T11:41:48.232947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:50.818912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:52.872618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:54.927501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:57.351054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:59.484238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:01.891429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:03.975440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:06.531367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:08.594793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:10.578862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:13.096646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:37.179071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:39.294078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:41.723247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:43.833101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:46.237500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:48.352888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:50.934990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:52.988104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:55.041336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:57.463517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:59.592437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:02.011210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:04.096489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:06.650333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:08.719228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:10.702814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:13.232227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:37.294491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:39.435411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:41.862421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:43.965922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:46.371961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:48.514442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:51.067614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:53.113007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:55.506748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:57.598975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:59.714891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:02.147862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:04.235088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:06.769829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:08.844745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:10.839404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:13.344073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:37.411791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:39.547674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:41.980623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:44.084932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:46.485932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:48.634653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:51.186180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:53.233733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:55.615065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:57.714334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:41:59.824877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:02.256972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:04.356632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:06.870801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:08.959501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:42:11.281627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:42:21.092015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도장애정도별전체수급자수(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)
기준년도1.0000.0000.0000.0000.0000.0000.0000.5140.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.000
장애정도별0.0001.0000.8600.8960.7860.8340.9430.4180.9800.8530.8670.6370.9280.8160.9190.6030.9020.8680.173
전체수급자수(명)0.0000.8601.0000.9010.9550.9890.9040.7480.8670.8600.9180.8340.8880.8050.9230.6670.9970.8130.000
지체수급자수(명)0.0000.8960.9011.0000.8760.9221.0000.7410.7930.7710.9670.7930.9080.8220.8950.8660.8680.8400.000
뇌병변수급자수(명)0.0000.7860.9550.8761.0000.9480.9170.7780.7300.8110.9730.7910.9050.9040.9110.6890.9880.9030.000
시각수급자수(명)0.0000.8340.9890.9220.9481.0000.8810.6780.7130.6920.9270.8010.8490.7530.8260.6300.9880.8670.000
청각수급자수(명)0.0000.9430.9041.0000.9170.8811.0000.8100.9200.9800.9410.7350.9900.8470.9650.6481.0000.9280.000
언어수급자수(명)0.5140.4180.7480.7410.7780.6780.8101.0000.4370.8150.7830.5730.7030.7180.5740.0000.4280.4480.000
안면수급자수(명)0.0000.9800.8670.7930.7300.7130.9200.4371.0000.9430.8770.5840.9060.9110.9810.8200.9150.9090.000
신장수급자수(명)0.0000.8530.8600.7710.8110.6920.9800.8150.9431.0000.8660.6330.9540.8960.9430.7721.0000.8470.000
심장수급자수(명)0.0000.8670.9180.9670.9730.9270.9410.7830.8770.8661.0000.7570.8930.9560.8780.7161.0000.8330.000
간수급자수(명)0.0000.6370.8340.7930.7910.8010.7350.5730.5840.6330.7571.0000.7450.4940.8030.4820.7200.7910.000
호흡기수급자수(명)0.0000.9280.8880.9080.9050.8490.9900.7030.9060.9540.8930.7451.0000.7990.9770.7160.9360.9580.000
장루요루수급자수(명)0.0000.8160.8050.8220.9040.7530.8470.7180.9110.8960.9560.4940.7991.0000.8680.8641.0000.8000.000
뇌전증수급자수(명)0.0000.9190.9230.8950.9110.8260.9650.5740.9810.9430.8780.8030.9770.8681.0000.8470.9150.9840.000
지적수급자수(명)0.0000.6030.6670.8660.6890.6300.6480.0000.8200.7720.7160.4820.7160.8640.8471.0000.6830.8660.000
정신수급자수(명)0.0000.9020.9970.8680.9880.9881.0000.4280.9151.0001.0000.7200.9361.0000.9150.6831.0000.7900.000
자폐성수급자수(명)0.0000.8680.8130.8400.9030.8670.9280.4480.9090.8470.8330.7910.9580.8000.9840.8660.7901.0000.000
기타수급자수(명)0.0000.1730.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.000
2024-04-11T11:42:21.316596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장애정도별기타수급자수(명)
장애정도별1.0000.084
기타수급자수(명)0.0841.000
2024-04-11T11:42:21.455686image/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)장애정도별기타수급자수(명)
기준년도1.000-0.152-0.128-0.084-0.117-0.096-0.310-0.1280.019-0.119-0.287-0.072-0.103-0.072-0.051-0.0670.0410.0000.000
전체수급자수(명)-0.1521.0000.9900.9500.9360.9610.7940.9230.8470.9190.9260.9630.9130.9530.9380.9410.8680.7140.000
지체수급자수(명)-0.1280.9901.0000.9620.9420.9640.8090.9190.8320.9160.9170.9600.9140.9520.9300.9590.8650.8130.000
뇌병변수급자수(명)-0.0840.9500.9621.0000.9590.9340.8160.8470.8000.8530.8620.9390.8460.9320.8830.9100.9110.6040.000
시각수급자수(명)-0.1170.9360.9420.9591.0000.9210.8010.8300.7700.8180.8650.9040.8290.9090.8600.8890.8960.6730.000
청각수급자수(명)-0.0960.9610.9640.9340.9211.0000.7830.9090.8210.9100.9020.9550.9180.9390.9140.9450.8860.6370.000
언어수급자수(명)-0.3100.7940.8090.8160.8010.7831.0000.7110.6130.7360.7910.8150.7340.8120.6880.8100.7090.2670.000
안면수급자수(명)-0.1280.9230.9190.8470.8300.9090.7111.0000.6490.9530.8660.9170.9870.9190.9440.9280.7460.7770.000
신장수급자수(명)0.0190.8470.8320.8000.7700.8210.6130.6491.0000.6850.8020.8150.6520.8010.6910.7540.8170.4560.000
심장수급자수(명)-0.1190.9190.9160.8530.8180.9100.7360.9530.6851.0000.8340.9390.9590.8990.9400.9390.7370.6790.000
간수급자수(명)-0.2870.9260.9170.8620.8650.9020.7910.8660.8020.8341.0000.8940.8710.9200.8200.8940.8050.3970.000
호흡기수급자수(명)-0.0720.9630.9600.9390.9040.9550.8150.9170.8150.9390.8941.0000.9220.9590.9160.9510.8870.5970.000
장루요루수급자수(명)-0.1030.9130.9140.8460.8290.9180.7340.9870.6520.9590.8710.9221.0000.9250.9380.9390.7550.6210.000
뇌전증수급자수(명)-0.0720.9530.9520.9320.9090.9390.8120.9190.8010.8990.9200.9590.9251.0000.9030.9400.8680.5740.000
지적수급자수(명)-0.0510.9380.9300.8830.8600.9140.6880.9440.6910.9400.8200.9160.9380.9031.0000.9180.7660.4260.000
정신수급자수(명)-0.0670.9410.9590.9100.8890.9450.8100.9280.7540.9390.8940.9510.9390.9400.9181.0000.8180.8530.000
자폐성수급자수(명)0.0410.8680.8650.9110.8960.8860.7090.7460.8170.7370.8050.8870.7550.8680.7660.8181.0000.4800.000
장애정도별0.0000.7140.8130.6040.6730.6370.2670.7770.4560.6790.3970.5970.6210.5740.4260.8530.4801.0000.084
기타수급자수(명)0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0841.000

Missing values

2024-04-11T11:42:13.555308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:42:13.897909image/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

기준년도장애정도별전체수급자수(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)
02023기타8710145130290200141800
12023심하지 않은 장애(경증)00000000000000000
22023심한장애(중증)7052091791117745205608516581045091286062412220263444434340
32022기타7278213030304008600
42022심하지 않은 장애(경증)00000000000000000
52022심한장애(중증)71711960011812468559445096010411100326472511519968457032330
62021기타52516031014102002611
72021심하지 않은 장애(경증)00000000000000000
82021심한장애(중증)73633101201295148676241521621066112041732189419490476429510
92020기타55619102010204013601
기준년도장애정도별전체수급자수(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)
2920153급 중복223162133996209460101302633711427600
302015기타5735000043121001001
3120141급22475362460453630730655765741325209312103386990
3220142급3330656105860716402657252760716240346153917842893020
3320143급 중복1968563306931863689033251469724910
342014기타1745432003611000200120
3520131급2065334025431333965761665442163119619103725760
3620132급3002852385283649347351712949725437293124413944132210
3720133급 중복1715446264781583228027647387827000
382013기타18610142001301000200153