Overview

Dataset statistics

Number of variables18
Number of observations62
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory163.1 B

Variable types

Numeric11
Categorical7

Dataset

Description기초생활수급자 장애아동수당 수급자 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=H5F8VEKK1BTSZ355FM3V25737294&infSeq=1

Alerts

합계(명) is highly overall correlated with 지체수급자수(명) and 6 other fieldsHigh correlation
지체수급자수(명) is highly overall correlated with 합계(명) and 4 other fieldsHigh correlation
뇌병변수급자수(명) is highly overall correlated with 합계(명) and 6 other fieldsHigh correlation
시각수급자수(명) is highly overall correlated with 지체수급자수(명)High correlation
청각수급자수(명) is highly overall correlated with 합계(명) and 3 other fieldsHigh correlation
언어수급자수(명) is highly overall correlated with 안면수급자수(명)High correlation
신장수급자수(명) is highly overall correlated with 간수급자수(명)High correlation
심장수급자수(명) is highly overall correlated with 합계(명) and 3 other fieldsHigh correlation
지적수급자수(명) is highly overall correlated with 합계(명) and 5 other fieldsHigh correlation
자폐성수급자수(명) is highly overall correlated with 합계(명) and 4 other fieldsHigh correlation
장애정도 is highly overall correlated with 합계(명) and 7 other fieldsHigh correlation
안면수급자수(명) is highly overall correlated with 언어수급자수(명) and 1 other fieldsHigh correlation
간수급자수(명) is highly overall correlated with 신장수급자수(명)High correlation
호흡기수급자수(명) is highly overall correlated with 뇌병변수급자수(명) and 1 other fieldsHigh correlation
장루요루수급자수(명) is highly overall correlated with 장애정도High correlation
정신수급자수(명) is highly overall correlated with 심장수급자수(명)High correlation
간수급자수(명) is highly imbalanced (54.3%)Imbalance
호흡기수급자수(명) is highly imbalanced (65.5%)Imbalance
합계(명) has 4 (6.5%) zerosZeros
지체수급자수(명) has 5 (8.1%) zerosZeros
뇌병변수급자수(명) has 9 (14.5%) zerosZeros
시각수급자수(명) has 14 (22.6%) zerosZeros
청각수급자수(명) has 9 (14.5%) zerosZeros
언어수급자수(명) has 27 (43.5%) zerosZeros
신장수급자수(명) has 43 (69.4%) zerosZeros
심장수급자수(명) has 28 (45.2%) zerosZeros
지적수급자수(명) has 28 (45.2%) zerosZeros
자폐성수급자수(명) has 34 (54.8%) zerosZeros

Reproduction

Analysis started2024-04-11 03:08:43.257056
Analysis finished2024-04-11 03:08:56.094698
Duration12.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct11
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.1129
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:56.147433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12015
median2017
Q32019
95-th percentile2022
Maximum2023
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9090297
Coefficient of variation (CV)0.0014421749
Kurtosis-0.78612112
Mean2017.1129
Median Absolute Deviation (MAD)2
Skewness0.37988907
Sum125061
Variance8.4624537
MonotonicityDecreasing
2024-04-11T12:08:56.239869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2018 8
12.9%
2017 8
12.9%
2016 7
11.3%
2015 7
11.3%
2014 7
11.3%
2013 7
11.3%
2021 4
6.5%
2020 4
6.5%
2019 4
6.5%
2023 3
 
4.8%
ValueCountFrequency (%)
2013 7
11.3%
2014 7
11.3%
2015 7
11.3%
2016 7
11.3%
2017 8
12.9%
2018 8
12.9%
2019 4
6.5%
2020 4
6.5%
2021 4
6.5%
2022 3
 
4.8%
ValueCountFrequency (%)
2023 3
 
4.8%
2022 3
 
4.8%
2021 4
6.5%
2020 4
6.5%
2019 4
6.5%
2018 8
12.9%
2017 8
12.9%
2016 7
11.3%
2015 7
11.3%
2014 7
11.3%

장애정도
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size628.0 B
1급(중증)
2급(중증)
3급(경증)
3급(중증)
4급(경증)
Other values (6)
32 

Length

Max length13
Median length6
Mean length6.8870968
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1급(중증) 6
9.7%
2급(중증) 6
9.7%
3급(경증) 6
9.7%
3급(중증) 6
9.7%
4급(경증) 6
9.7%
5급(경증) 6
9.7%
6급(경증) 6
9.7%
심하지 않은 장애(경증) 5
8.1%
심한 장애(경증) 5
8.1%
심한 장애(중증) 5
8.1%

Length

2024-04-11T12:08:56.373513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장애(경증 10
12.2%
심한 10
12.2%
1급(중증 6
 
7.3%
2급(중증 6
 
7.3%
3급(경증 6
 
7.3%
3급(중증 6
 
7.3%
4급(경증 6
 
7.3%
5급(경증 6
 
7.3%
6급(경증 6
 
7.3%
심하지 5
 
6.1%
Other values (3) 15
18.3%

합계(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct52
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.66129
Minimum0
Maximum938
Zeros4
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:56.521596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q136
median97.5
Q3584.25
95-th percentile713.6
Maximum938
Range938
Interquartile range (IQR)548.25

Descriptive statistics

Standard deviation295.45397
Coefficient of variation (CV)0.99258445
Kurtosis-1.6123643
Mean297.66129
Median Absolute Deviation (MAD)97.5
Skewness0.36397999
Sum18455
Variance87293.047
MonotonicityNot monotonic
2024-04-11T12:08:56.641774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
6.5%
36 2
 
3.2%
585 2
 
3.2%
41 2
 
3.2%
30 2
 
3.2%
19 2
 
3.2%
46 2
 
3.2%
44 2
 
3.2%
27 1
 
1.6%
539 1
 
1.6%
Other values (42) 42
67.7%
ValueCountFrequency (%)
0 4
6.5%
18 1
 
1.6%
19 2
3.2%
20 1
 
1.6%
21 1
 
1.6%
22 1
 
1.6%
27 1
 
1.6%
29 1
 
1.6%
30 2
3.2%
34 1
 
1.6%
ValueCountFrequency (%)
938 1
1.6%
735 1
1.6%
733 1
1.6%
714 1
1.6%
706 1
1.6%
694 1
1.6%
679 1
1.6%
671 1
1.6%
652 1
1.6%
647 1
1.6%

지체수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.435484
Minimum0
Maximum41
Zeros5
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:56.761811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median10.5
Q315.75
95-th percentile25.95
Maximum41
Range41
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation8.6699424
Coefficient of variation (CV)0.75816139
Kurtosis2.0428632
Mean11.435484
Median Absolute Deviation (MAD)4.5
Skewness1.175821
Sum709
Variance75.167901
MonotonicityNot monotonic
2024-04-11T12:08:56.857597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
11 6
 
9.7%
6 6
 
9.7%
18 5
 
8.1%
7 5
 
8.1%
8 5
 
8.1%
0 5
 
8.1%
1 4
 
6.5%
14 4
 
6.5%
9 3
 
4.8%
12 3
 
4.8%
Other values (13) 16
25.8%
ValueCountFrequency (%)
0 5
8.1%
1 4
6.5%
2 2
 
3.2%
6 6
9.7%
7 5
8.1%
8 5
8.1%
9 3
4.8%
10 1
 
1.6%
11 6
9.7%
12 3
4.8%
ValueCountFrequency (%)
41 1
 
1.6%
38 1
 
1.6%
27 1
 
1.6%
26 1
 
1.6%
25 1
 
1.6%
24 1
 
1.6%
23 1
 
1.6%
22 1
 
1.6%
18 5
8.1%
17 1
 
1.6%

뇌병변수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct35
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.209677
Minimum0
Maximum163
Zeros9
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:56.958347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median12.5
Q323
95-th percentile146.3
Maximum163
Range163
Interquartile range (IQR)17

Descriptive statistics

Standard deviation46.294898
Coefficient of variation (CV)1.4833507
Kurtosis2.1700083
Mean31.209677
Median Absolute Deviation (MAD)9.5
Skewness1.874615
Sum1935
Variance2143.2176
MonotonicityNot monotonic
2024-04-11T12:08:57.080627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 9
 
14.5%
10 5
 
8.1%
13 4
 
6.5%
14 4
 
6.5%
12 3
 
4.8%
23 3
 
4.8%
3 2
 
3.2%
9 2
 
3.2%
11 2
 
3.2%
6 2
 
3.2%
Other values (25) 26
41.9%
ValueCountFrequency (%)
0 9
14.5%
1 2
 
3.2%
2 1
 
1.6%
3 2
 
3.2%
4 1
 
1.6%
6 2
 
3.2%
7 1
 
1.6%
8 1
 
1.6%
9 2
 
3.2%
10 5
8.1%
ValueCountFrequency (%)
163 1
1.6%
160 1
1.6%
158 1
1.6%
147 1
1.6%
133 1
1.6%
131 1
1.6%
117 1
1.6%
103 1
1.6%
95 1
1.6%
86 1
1.6%

시각수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8064516
Minimum0
Maximum24
Zeros14
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:57.186351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q313
95-th percentile19.9
Maximum24
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.0381599
Coefficient of variation (CV)1.2121275
Kurtosis-0.11169373
Mean5.8064516
Median Absolute Deviation (MAD)2
Skewness1.0971748
Sum360
Variance49.535695
MonotonicityNot monotonic
2024-04-11T12:08:57.283331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 14
22.6%
1 11
17.7%
2 10
16.1%
13 5
 
8.1%
3 5
 
8.1%
14 4
 
6.5%
15 4
 
6.5%
22 1
 
1.6%
24 1
 
1.6%
23 1
 
1.6%
Other values (6) 6
9.7%
ValueCountFrequency (%)
0 14
22.6%
1 11
17.7%
2 10
16.1%
3 5
 
8.1%
5 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
8 1
 
1.6%
13 5
 
8.1%
14 4
 
6.5%
ValueCountFrequency (%)
24 1
 
1.6%
23 1
 
1.6%
22 1
 
1.6%
20 1
 
1.6%
18 1
 
1.6%
15 4
6.5%
14 4
6.5%
13 5
8.1%
8 1
 
1.6%
7 1
 
1.6%

청각수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0322581
Minimum0
Maximum27
Zeros9
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:57.378370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q313.75
95-th percentile20
Maximum27
Range27
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation7.7013257
Coefficient of variation (CV)1.0951426
Kurtosis-0.50304014
Mean7.0322581
Median Absolute Deviation (MAD)3
Skewness0.99153611
Sum436
Variance59.310418
MonotonicityNot monotonic
2024-04-11T12:08:57.483549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 9
14.5%
0 9
14.5%
1 8
12.9%
3 7
11.3%
20 4
 
6.5%
5 3
 
4.8%
19 3
 
4.8%
4 3
 
4.8%
18 2
 
3.2%
6 2
 
3.2%
Other values (11) 12
19.4%
ValueCountFrequency (%)
0 9
14.5%
1 8
12.9%
2 9
14.5%
3 7
11.3%
4 3
 
4.8%
5 3
 
4.8%
6 2
 
3.2%
7 2
 
3.2%
8 1
 
1.6%
10 1
 
1.6%
ValueCountFrequency (%)
27 1
 
1.6%
22 1
 
1.6%
21 1
 
1.6%
20 4
6.5%
19 3
4.8%
18 2
3.2%
17 1
 
1.6%
16 1
 
1.6%
15 1
 
1.6%
14 1
 
1.6%

언어수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6935484
Minimum0
Maximum27
Zeros27
Zeros (%)43.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:57.581377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.75
95-th percentile22
Maximum27
Range27
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation7.5933291
Coefficient of variation (CV)1.6178227
Kurtosis1.4986185
Mean4.6935484
Median Absolute Deviation (MAD)1
Skewness1.703051
Sum291
Variance57.658646
MonotonicityNot monotonic
2024-04-11T12:08:57.679011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 27
43.5%
1 8
 
12.9%
2 4
 
6.5%
4 4
 
6.5%
3 3
 
4.8%
22 2
 
3.2%
6 2
 
3.2%
23 2
 
3.2%
5 2
 
3.2%
18 2
 
3.2%
Other values (5) 6
 
9.7%
ValueCountFrequency (%)
0 27
43.5%
1 8
 
12.9%
2 4
 
6.5%
3 3
 
4.8%
4 4
 
6.5%
5 2
 
3.2%
6 2
 
3.2%
7 1
 
1.6%
13 1
 
1.6%
15 1
 
1.6%
ValueCountFrequency (%)
27 1
1.6%
23 2
3.2%
22 2
3.2%
20 2
3.2%
18 2
3.2%
15 1
1.6%
13 1
1.6%
7 1
1.6%
6 2
3.2%
5 2
3.2%

안면수급자수(명)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
34 
1
11 
3
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row3
2nd row0
3rd row0
4th row4
5th row0

Common Values

ValueCountFrequency (%)
0 34
54.8%
1 11
 
17.7%
3 8
 
12.9%
2 8
 
12.9%
4 1
 
1.6%

Length

2024-04-11T12:08:57.781435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:08:57.882237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 34
54.8%
1 11
 
17.7%
3 8
 
12.9%
2 8
 
12.9%
4 1
 
1.6%

신장수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74193548
Minimum0
Maximum5
Zeros43
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:57.979903image/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 deviation1.2922909
Coefficient of variation (CV)1.7417834
Kurtosis1.617892
Mean0.74193548
Median Absolute Deviation (MAD)0
Skewness1.6321271
Sum46
Variance1.6700159
MonotonicityNot monotonic
2024-04-11T12:08:58.082973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 43
69.4%
3 6
 
9.7%
2 5
 
8.1%
1 5
 
8.1%
4 2
 
3.2%
5 1
 
1.6%
ValueCountFrequency (%)
0 43
69.4%
1 5
 
8.1%
2 5
 
8.1%
3 6
 
9.7%
4 2
 
3.2%
5 1
 
1.6%
ValueCountFrequency (%)
5 1
 
1.6%
4 2
 
3.2%
3 6
 
9.7%
2 5
 
8.1%
1 5
 
8.1%
0 43
69.4%

심장수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3548387
Minimum0
Maximum6
Zeros28
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:58.172665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6001719
Coefficient of variation (CV)1.1810792
Kurtosis0.24317833
Mean1.3548387
Median Absolute Deviation (MAD)1
Skewness1.0540999
Sum84
Variance2.56055
MonotonicityNot monotonic
2024-04-11T12:08:58.262486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 28
45.2%
2 13
21.0%
1 9
 
14.5%
4 6
 
9.7%
3 3
 
4.8%
5 2
 
3.2%
6 1
 
1.6%
ValueCountFrequency (%)
0 28
45.2%
1 9
 
14.5%
2 13
21.0%
3 3
 
4.8%
4 6
 
9.7%
5 2
 
3.2%
6 1
 
1.6%
ValueCountFrequency (%)
6 1
 
1.6%
5 2
 
3.2%
4 6
 
9.7%
3 3
 
4.8%
2 13
21.0%
1 9
 
14.5%
0 28
45.2%

간수급자수(명)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
51 
4
 
5
3
 
5
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row4
2nd row0
3rd row0
4th row3
5th row0

Common Values

ValueCountFrequency (%)
0 51
82.3%
4 5
 
8.1%
3 5
 
8.1%
2 1
 
1.6%

Length

2024-04-11T12:08:58.383818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:08:58.482310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
82.3%
4 5
 
8.1%
3 5
 
8.1%
2 1
 
1.6%

호흡기수급자수(명)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
58 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 58
93.5%
1 4
 
6.5%

Length

2024-04-11T12:08:58.578579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:08:58.659329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
93.5%
1 4
 
6.5%

장루요루수급자수(명)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
41 
1
14 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 41
66.1%
1 14
 
22.6%
2 7
 
11.3%

Length

2024-04-11T12:08:58.743156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:08:58.835361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 41
66.1%
1 14
 
22.6%
2 7
 
11.3%
Distinct5
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
41 
1
12 
2
3
 
2
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 41
66.1%
1 12
 
19.4%
2 5
 
8.1%
3 2
 
3.2%
4 2
 
3.2%

Length

2024-04-11T12:08:58.926733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:08:59.186492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 41
66.1%
1 12
 
19.4%
2 5
 
8.1%
3 2
 
3.2%
4 2
 
3.2%

지적수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct33
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.03226
Minimum0
Maximum679
Zeros28
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:59.278863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.5
Q3413.25
95-th percentile600.35
Maximum679
Range679
Interquartile range (IQR)413.25

Descriptive statistics

Standard deviation238.46772
Coefficient of variation (CV)1.1687746
Kurtosis-1.3404805
Mean204.03226
Median Absolute Deviation (MAD)17.5
Skewness0.55894343
Sum12650
Variance56866.851
MonotonicityNot monotonic
2024-04-11T12:08:59.389271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 28
45.2%
18 2
 
3.2%
16 2
 
3.2%
428 1
 
1.6%
541 1
 
1.6%
291 1
 
1.6%
414 1
 
1.6%
525 1
 
1.6%
315 1
 
1.6%
27 1
 
1.6%
Other values (23) 23
37.1%
ValueCountFrequency (%)
0 28
45.2%
16 2
 
3.2%
17 1
 
1.6%
18 2
 
3.2%
27 1
 
1.6%
209 1
 
1.6%
242 1
 
1.6%
276 1
 
1.6%
291 1
 
1.6%
315 1
 
1.6%
ValueCountFrequency (%)
679 1
1.6%
642 1
1.6%
621 1
1.6%
601 1
1.6%
588 1
1.6%
585 1
1.6%
578 1
1.6%
541 1
1.6%
533 1
1.6%
525 1
1.6%

정신수급자수(명)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
0
50 
2
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 50
80.6%
2 7
 
11.3%
1 5
 
8.1%

Length

2024-04-11T12:08:59.506610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-11T12:08:59.623452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
80.6%
2 7
 
11.3%
1 5
 
8.1%

자폐성수급자수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.112903
Minimum0
Maximum210
Zeros34
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-04-11T12:08:59.727683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q334.75
95-th percentile136.9
Maximum210
Range210
Interquartile range (IQR)34.75

Descriptive statistics

Standard deviation47.492917
Coefficient of variation (CV)1.6893637
Kurtosis3.8581847
Mean28.112903
Median Absolute Deviation (MAD)0
Skewness2.0365272
Sum1743
Variance2255.5772
MonotonicityNot monotonic
2024-04-11T12:08:59.833324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 34
54.8%
15 3
 
4.8%
16 2
 
3.2%
75 2
 
3.2%
79 1
 
1.6%
9 1
 
1.6%
34 1
 
1.6%
80 1
 
1.6%
12 1
 
1.6%
35 1
 
1.6%
Other values (15) 15
24.2%
ValueCountFrequency (%)
0 34
54.8%
9 1
 
1.6%
12 1
 
1.6%
13 1
 
1.6%
14 1
 
1.6%
15 3
 
4.8%
16 2
 
3.2%
21 1
 
1.6%
25 1
 
1.6%
34 1
 
1.6%
ValueCountFrequency (%)
210 1
1.6%
161 1
1.6%
151 1
1.6%
137 1
1.6%
135 1
1.6%
81 1
1.6%
80 1
1.6%
79 1
1.6%
78 1
1.6%
75 2
3.2%

Interactions

2024-04-11T12:08:54.743602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:45.484530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.431262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.202456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.955700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.116700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.044873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.952585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.877333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.962236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.884334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.813949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:45.605336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.498364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.267339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.031809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.197613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.140522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.027568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.948807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.035583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.961758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.877747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:45.671618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.562532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.327836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.103441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.278625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.210102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.100415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.041342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.107545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.036654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.941359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:45.734192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.633257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.393703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.176992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.362313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.281075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.184054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.331376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.188840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.113547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:55.024701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:45.849818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.716501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.470819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.264367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.471978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.359251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.283590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.421200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.273452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.198705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:55.095700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:45.943830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.786621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.537341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.347038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.572505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.433190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.382096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.499682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.354920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.272132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:55.185980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.016179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.854958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.602285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.454356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.650739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.512772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.466979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.583449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.436827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.345966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:55.269469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.087459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.923635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.675766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.703782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.727013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.588633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.547931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.665539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.518759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.419338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:55.349303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.186344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.990090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.746922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.793597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.801609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.686594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.621860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.734885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.612287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.497323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:55.599374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.279045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.057676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.815587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.898940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.879506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.792443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.703156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.812932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.713418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.578782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:55.672350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:46.362877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.133431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:47.890321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:48.991062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:49.954131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:50.877126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:51.794179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:52.888904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:53.799341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T12:08:54.668777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T12:08:59.917336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도장애정도합계(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)안면수급자수(명)신장수급자수(명)심장수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)지적수급자수(명)정신수급자수(명)자폐성수급자수(명)
기준년도1.0000.0000.3980.0000.0000.2230.0000.3630.0000.0000.0000.0000.0000.0000.5810.0000.0000.393
장애정도0.0001.0000.8760.8270.8280.7570.7720.6810.8530.6760.7850.6780.5260.7360.4750.8520.6490.792
합계(명)0.3980.8761.0000.6870.9550.6410.8950.5850.6240.5230.7750.3270.3520.4660.4110.8170.4860.861
지체수급자수(명)0.0000.8270.6871.0000.6850.5620.7650.5210.5040.4000.4070.5960.4590.0000.5190.7620.0000.433
뇌병변수급자수(명)0.0000.8280.9550.6851.0000.8260.8750.0000.5390.5140.5510.0000.6490.5450.2600.8080.0000.915
시각수급자수(명)0.2230.7570.6410.5620.8261.0000.4150.0000.0790.0000.0000.0000.0000.5630.2670.4690.0000.631
청각수급자수(명)0.0000.7720.8950.7650.8750.4151.0000.0000.8140.6130.6620.0000.6180.6420.3550.8250.2700.773
언어수급자수(명)0.3630.6810.5850.5210.0000.0000.0001.0000.8100.0000.3650.3780.0000.7320.6990.0000.1170.000
안면수급자수(명)0.0000.8530.6240.5040.5390.0790.8140.8101.0000.4610.6310.2720.0000.5320.0000.5960.1800.323
신장수급자수(명)0.0000.6760.5230.4000.5140.0000.6130.0000.4611.0000.5680.7140.0000.5050.0000.0000.0000.167
심장수급자수(명)0.0000.7850.7750.4070.5510.0000.6620.3650.6310.5681.0000.3940.0000.2040.0000.7200.6610.496
간수급자수(명)0.0000.6780.3270.5960.0000.0000.0000.3780.2720.7140.3941.0000.0000.1020.4430.0000.0000.000
호흡기수급자수(명)0.0000.5260.3520.4590.6490.0000.6180.0000.0000.0000.0000.0001.0000.0340.0000.9090.0110.369
장루요루수급자수(명)0.0000.7360.4660.0000.5450.5630.6420.7320.5320.5050.2040.1020.0341.0000.3910.4960.1450.404
뇌전증수급자수(명)0.5810.4750.4110.5190.2600.2670.3550.6990.0000.0000.0000.4430.0000.3911.0000.0000.0000.460
지적수급자수(명)0.0000.8520.8170.7620.8080.4690.8250.0000.5960.0000.7200.0000.9090.4960.0001.0000.6370.785
정신수급자수(명)0.0000.6490.4860.0000.0000.0000.2700.1170.1800.0000.6610.0000.0110.1450.0000.6371.0000.481
자폐성수급자수(명)0.3930.7920.8610.4330.9150.6310.7730.0000.3230.1670.4960.0000.3690.4040.4600.7850.4811.000
2024-04-11T12:09:00.064520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장루요루수급자수(명)간수급자수(명)호흡기수급자수(명)뇌전증수급자수(명)안면수급자수(명)정신수급자수(명)장애정도
장루요루수급자수(명)1.0000.0910.0510.3150.4620.0370.545
간수급자수(명)0.0911.0000.0000.3710.2200.0000.452
호흡기수급자수(명)0.0510.0001.0000.0000.0000.0000.465
뇌전증수급자수(명)0.3150.3710.0001.0000.0000.0000.265
안면수급자수(명)0.4620.2200.0000.0001.0000.1300.646
정신수급자수(명)0.0370.0000.0000.0000.1301.0000.449
장애정도0.5450.4520.4650.2650.6460.4491.000
2024-04-11T12:09:00.177541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도합계(명)지체수급자수(명)뇌병변수급자수(명)시각수급자수(명)청각수급자수(명)언어수급자수(명)신장수급자수(명)심장수급자수(명)지적수급자수(명)자폐성수급자수(명)장애정도안면수급자수(명)간수급자수(명)호흡기수급자수(명)장루요루수급자수(명)뇌전증수급자수(명)정신수급자수(명)
기준년도1.0000.246-0.0160.1490.076-0.0540.320-0.0040.1490.1330.1620.0000.0770.1080.0000.0000.2130.028
합계(명)0.2461.0000.5600.8060.3510.6860.394-0.0860.5800.7800.8410.6640.4550.2200.3590.3400.2700.359
지체수급자수(명)-0.0160.5601.0000.7500.7420.6930.2590.2000.1770.0560.3720.5680.3280.2870.3250.0000.3400.000
뇌병변수급자수(명)0.1490.8060.7501.0000.4920.8690.1680.2580.4180.5010.8090.5820.3750.0000.6690.4170.1610.000
시각수급자수(명)0.0760.3510.7420.4921.0000.3270.0480.102-0.124-0.1870.1390.4630.0000.0000.0000.2790.1440.000
청각수급자수(명)-0.0540.6860.6930.8690.3271.0000.3360.3390.3810.4020.7280.4610.4490.0000.4440.4580.1390.149
언어수급자수(명)0.3200.3940.2590.1680.0480.3361.000-0.0290.3270.1860.0800.3820.6170.2350.0000.4120.4800.014
신장수급자수(명)-0.004-0.0860.2000.2580.1020.339-0.0291.0000.318-0.207-0.0610.4070.3300.5360.0000.2320.0000.000
심장수급자수(명)0.1490.5800.1770.418-0.1240.3810.3270.3181.0000.6190.3830.5210.4630.2710.0000.1280.0000.545
지적수급자수(명)0.1330.7800.0560.501-0.1870.4020.186-0.2070.6191.0000.7950.6090.4070.0000.7020.3450.0000.486
자폐성수급자수(명)0.1620.8410.3720.8090.1390.7280.080-0.0610.3830.7951.0000.5180.2280.0000.3760.2870.2890.271
장애정도0.0000.6640.5680.5820.4630.4610.3820.4070.5210.6090.5181.0000.6460.4520.4650.5450.2650.449
안면수급자수(명)0.0770.4550.3280.3750.0000.4490.6170.3300.4630.4070.2280.6461.0000.2200.0000.4620.0000.130
간수급자수(명)0.1080.2200.2870.0000.0000.0000.2350.5360.2710.0000.0000.4520.2201.0000.0000.0910.3710.000
호흡기수급자수(명)0.0000.3590.3250.6690.0000.4440.0000.0000.0000.7020.3760.4650.0000.0001.0000.0510.0000.000
장루요루수급자수(명)0.0000.3400.0000.4170.2790.4580.4120.2320.1280.3450.2870.5450.4620.0910.0511.0000.3150.037
뇌전증수급자수(명)0.2130.2700.3400.1610.1440.1390.4800.0000.0000.0000.2890.2650.0000.3710.0000.3151.0000.000
정신수급자수(명)0.0280.3590.0000.0000.0000.1490.0140.0000.5450.4860.2710.4490.1300.0000.0000.0370.0001.000

Missing values

2024-04-11T12:08:55.779057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T12:08:56.006833image/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

기준년도장애정도합계(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)
02023심하지 않은 장애(경증)982421136223314001000
12023심한 장애(경증)7357122230030001679125
22023심한 장애(중증)7141582520600100133710210
32022심하지 않은 장애(경증)1052622145274213001000
42022심한 장애(경증)6948113120030001642221
52022심한 장애(중증)6791686619400000123840161
62021심하지 않은 장애(경증)972318147233123003000
72021심한 장애(경증)6527132131040002601216
82021심한 장애(중증)7061895719500100114220137
92021해당없음0000000000000000
기준년도장애정도합계(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)
5220144급(경증)4614924131000021000
5320145급(경증)27683200314000000
5420146급(경증)4111623100000000000
5520131급(중증)64741163141800000002329080
5620132급(중증)484152912202420000373234
5720133급(경증)53917141107306001046929
5820133급(중증)201001100000001700
5920134급(경증)4816723150000014000
6020135급(경증)296102300314000000
6120136급(경증)4614624200000000000