Overview

Dataset statistics

Number of variables11
Number of observations180
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.4 KiB
Average record size in memory98.7 B

Variable types

Numeric10
Categorical1

Dataset

Description등록장애인 집계현황(유형별, 정도별)
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=S4G5806RHHAZPHXDAEPQ24798990&infSeq=1

Alerts

기준년도 is highly overall correlated with 1급장애인수(명) and 6 other fieldsHigh correlation
합계(명) is highly overall correlated with 장애유형명High correlation
1급장애인수(명) is highly overall correlated with 기준년도 and 8 other fieldsHigh correlation
2급장애인수(명) is highly overall correlated with 기준년도 and 7 other fieldsHigh correlation
3급장애인수(명) is highly overall correlated with 기준년도 and 8 other fieldsHigh correlation
4급장애인수(명) is highly overall correlated with 기준년도 and 8 other fieldsHigh correlation
5급장애인수(명) is highly overall correlated with 기준년도 and 8 other fieldsHigh correlation
6급장애인수(명) is highly overall correlated with 1급장애인수(명) and 5 other fieldsHigh correlation
심한 장애인수(명) is highly overall correlated with 기준년도 and 6 other fieldsHigh correlation
심하지 않은 장애인수(명) is highly overall correlated with 기준년도 and 6 other fieldsHigh correlation
장애유형명 is highly overall correlated with 합계(명) and 5 other fieldsHigh correlation
1급장애인수(명) has 75 (41.7%) zerosZeros
2급장애인수(명) has 75 (41.7%) zerosZeros
3급장애인수(명) has 75 (41.7%) zerosZeros
4급장애인수(명) has 93 (51.7%) zerosZeros
5급장애인수(명) has 97 (53.9%) zerosZeros
6급장애인수(명) has 149 (82.8%) zerosZeros
심한 장애인수(명) has 105 (58.3%) zerosZeros
심하지 않은 장애인수(명) has 117 (65.0%) zerosZeros

Reproduction

Analysis started2024-04-11 02:47:30.289887
Analysis finished2024-04-11 02:47:44.775710
Duration14.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.5
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:44.849646image/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 deviation3.4616817
Coefficient of variation (CV)0.0017158274
Kurtosis-1.2171827
Mean2017.5
Median Absolute Deviation (MAD)3
Skewness0
Sum363150
Variance11.98324
MonotonicityDecreasing
2024-04-11T11:47:44.992867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2023 15
8.3%
2022 15
8.3%
2021 15
8.3%
2020 15
8.3%
2019 15
8.3%
2018 15
8.3%
2017 15
8.3%
2016 15
8.3%
2015 15
8.3%
2014 15
8.3%
Other values (2) 30
16.7%
ValueCountFrequency (%)
2012 15
8.3%
2013 15
8.3%
2014 15
8.3%
2015 15
8.3%
2016 15
8.3%
2017 15
8.3%
2018 15
8.3%
2019 15
8.3%
2020 15
8.3%
2021 15
8.3%
ValueCountFrequency (%)
2023 15
8.3%
2022 15
8.3%
2021 15
8.3%
2020 15
8.3%
2019 15
8.3%
2018 15
8.3%
2017 15
8.3%
2016 15
8.3%
2015 15
8.3%
2014 15
8.3%

장애유형명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
간
 
12
뇌병변
 
12
뇌전증
 
12
시각
 
12
신장
 
12
Other values (10)
120 

Length

Max length5
Median length2
Mean length2.4
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row간
2nd row뇌병변
3rd row뇌전증
4th row시각
5th row신장

Common Values

ValueCountFrequency (%)
간 12
 
6.7%
뇌병변 12
 
6.7%
뇌전증 12
 
6.7%
시각 12
 
6.7%
신장 12
 
6.7%
심장 12
 
6.7%
안면 12
 
6.7%
언어 12
 
6.7%
자폐성 12
 
6.7%
장루.요루 12
 
6.7%
Other values (5) 60
33.3%

Length

2024-04-11T11:47:45.160613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
간 12
 
6.7%
뇌병변 12
 
6.7%
뇌전증 12
 
6.7%
시각 12
 
6.7%
신장 12
 
6.7%
심장 12
 
6.7%
안면 12
 
6.7%
언어 12
 
6.7%
자폐성 12
 
6.7%
장루.요루 12
 
6.7%
Other values (5) 60
33.3%

합계(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct176
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36198.911
Minimum561
Maximum271452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:45.348218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum561
5-th percentile632.8
Q12480.25
median6720
Q348743.5
95-th percentile266222.2
Maximum271452
Range270891
Interquartile range (IQR)46263.25

Descriptive statistics

Standard deviation65852.049
Coefficient of variation (CV)1.8191721
Kurtosis7.5799083
Mean36198.911
Median Absolute Deviation (MAD)6104.5
Skewness2.884414
Sum6515804
Variance4.3364924 × 109
MonotonicityNot monotonic
2024-04-11T11:47:45.508662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1416 2
 
1.1%
633 2
 
1.1%
576 2
 
1.1%
53728 2
 
1.1%
50868 1
 
0.6%
39742 1
 
0.6%
268816 1
 
0.6%
51459 1
 
0.6%
2403 1
 
0.6%
2601 1
 
0.6%
Other values (166) 166
92.2%
ValueCountFrequency (%)
561 1
0.6%
576 2
1.1%
581 1
0.6%
598 1
0.6%
615 1
0.6%
616 1
0.6%
626 1
0.6%
629 1
0.6%
633 2
1.1%
651 1
0.6%
ValueCountFrequency (%)
271452 1
0.6%
270229 1
0.6%
268930 1
0.6%
268832 1
0.6%
268816 1
0.6%
268731 1
0.6%
268668 1
0.6%
267797 1
0.6%
267043 1
0.6%
266179 1
0.6%

1급장애인수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct94
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1657.4944
Minimum0
Maximum13000
Zeros75
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:45.683581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median20.5
Q3969
95-th percentile10886.65
Maximum13000
Range13000
Interquartile range (IQR)969

Descriptive statistics

Standard deviation3440.622
Coefficient of variation (CV)2.075797
Kurtosis3.4844035
Mean1657.4944
Median Absolute Deviation (MAD)20.5
Skewness2.1776779
Sum298349
Variance11837880
MonotonicityNot monotonic
2024-04-11T11:47:46.220736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75
41.7%
1 4
 
2.2%
19 3
 
1.7%
21 3
 
1.7%
3 3
 
1.7%
30 2
 
1.1%
28 2
 
1.1%
22 2
 
1.1%
446 1
 
0.6%
12528 1
 
0.6%
Other values (84) 84
46.7%
ValueCountFrequency (%)
0 75
41.7%
1 4
 
2.2%
3 3
 
1.7%
11 1
 
0.6%
16 1
 
0.6%
17 1
 
0.6%
18 1
 
0.6%
19 3
 
1.7%
20 1
 
0.6%
21 3
 
1.7%
ValueCountFrequency (%)
13000 1
0.6%
12648 1
0.6%
12643 1
0.6%
12528 1
0.6%
12485 1
0.6%
12422 1
0.6%
12403 1
0.6%
11106 1
0.6%
11013 1
0.6%
10880 1
0.6%

2급장애인수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct100
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2663.3944
Minimum0
Maximum14469
Zeros75
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:46.413868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median84.5
Q32165.5
95-th percentile13041.4
Maximum14469
Range14469
Interquartile range (IQR)2165.5

Descriptive statistics

Standard deviation4626.698
Coefficient of variation (CV)1.7371434
Kurtosis0.56963359
Mean2663.3944
Median Absolute Deviation (MAD)84.5
Skewness1.5013584
Sum479411
Variance21406335
MonotonicityNot monotonic
2024-04-11T11:47:46.603638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75
41.7%
93 3
 
1.7%
32 2
 
1.1%
74 2
 
1.1%
31 2
 
1.1%
95 2
 
1.1%
1803 1
 
0.6%
86 1
 
0.6%
11718 1
 
0.6%
697 1
 
0.6%
Other values (90) 90
50.0%
ValueCountFrequency (%)
0 75
41.7%
31 2
 
1.1%
32 2
 
1.1%
33 1
 
0.6%
34 1
 
0.6%
36 1
 
0.6%
44 1
 
0.6%
52 1
 
0.6%
59 1
 
0.6%
72 1
 
0.6%
ValueCountFrequency (%)
14469 1
0.6%
14360 1
0.6%
14342 1
0.6%
14026 1
0.6%
13827 1
0.6%
13682 1
0.6%
13570 1
0.6%
13208 1
0.6%
13163 1
0.6%
13035 1
0.6%

3급장애인수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct102
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3431.7833
Minimum0
Maximum33567
Zeros75
Zeros (%)41.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:46.814670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median183
Q31580.25
95-th percentile15736.5
Maximum33567
Range33567
Interquartile range (IQR)1580.25

Descriptive statistics

Standard deviation7310.6833
Coefficient of variation (CV)2.130287
Kurtosis7.7056978
Mean3431.7833
Median Absolute Deviation (MAD)183
Skewness2.7642817
Sum617721
Variance53446091
MonotonicityNot monotonic
2024-04-11T11:47:46.998432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 75
41.7%
109 2
 
1.1%
213 2
 
1.1%
14 2
 
1.1%
200 2
 
1.1%
13 1
 
0.6%
1174 1
 
0.6%
2408 1
 
0.6%
313 1
 
0.6%
12375 1
 
0.6%
Other values (92) 92
51.1%
ValueCountFrequency (%)
0 75
41.7%
13 1
 
0.6%
14 2
 
1.1%
15 1
 
0.6%
16 1
 
0.6%
19 1
 
0.6%
21 1
 
0.6%
95 1
 
0.6%
109 2
 
1.1%
114 1
 
0.6%
ValueCountFrequency (%)
33567 1
0.6%
33114 1
0.6%
32711 1
0.6%
32457 1
0.6%
32176 1
0.6%
32092 1
0.6%
32021 1
0.6%
17485 1
0.6%
16449 1
0.6%
15699 1
0.6%

4급장애인수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct78
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2912.5778
Minimum0
Maximum51116
Zeros93
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:47.185089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3850.5
95-th percentile11337.55
Maximum51116
Range51116
Interquartile range (IQR)850.5

Descriptive statistics

Standard deviation9784.6033
Coefficient of variation (CV)3.3594307
Kurtosis18.373238
Mean2912.5778
Median Absolute Deviation (MAD)0
Skewness4.3700753
Sum524264
Variance95738462
MonotonicityNot monotonic
2024-04-11T11:47:47.369511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 93
51.7%
1 9
 
5.0%
9 2
 
1.1%
247 2
 
1.1%
3 1
 
0.6%
1227 1
 
0.6%
50 1
 
0.6%
9914 1
 
0.6%
50112 1
 
0.6%
1555 1
 
0.6%
Other values (68) 68
37.8%
ValueCountFrequency (%)
0 93
51.7%
1 9
 
5.0%
3 1
 
0.6%
4 1
 
0.6%
5 1
 
0.6%
9 2
 
1.1%
11 1
 
0.6%
12 1
 
0.6%
13 1
 
0.6%
47 1
 
0.6%
ValueCountFrequency (%)
51116 1
0.6%
50602 1
0.6%
50112 1
0.6%
49838 1
0.6%
49410 1
0.6%
49061 1
0.6%
48563 1
0.6%
14992 1
0.6%
12773 1
0.6%
11262 1
0.6%

5급장애인수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct74
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4264.1667
Minimum0
Maximum80031
Zeros97
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:47.551977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31073.5
95-th percentile13583.2
Maximum80031
Range80031
Interquartile range (IQR)1073.5

Descriptive statistics

Standard deviation15261.697
Coefficient of variation (CV)3.5790573
Kurtosis19.584674
Mean4264.1667
Median Absolute Deviation (MAD)0
Skewness4.54344
Sum767550
Variance2.3291939 × 108
MonotonicityNot monotonic
2024-04-11T11:47:47.741420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 97
53.9%
1 7
 
3.9%
12 3
 
1.7%
8 2
 
1.1%
23 2
 
1.1%
78184 1
 
0.6%
11405 1
 
0.6%
2103 1
 
0.6%
1051 1
 
0.6%
5305 1
 
0.6%
Other values (64) 64
35.6%
ValueCountFrequency (%)
0 97
53.9%
1 7
 
3.9%
8 2
 
1.1%
12 3
 
1.7%
16 1
 
0.6%
22 1
 
0.6%
23 2
 
1.1%
29 1
 
0.6%
31 1
 
0.6%
37 1
 
0.6%
ValueCountFrequency (%)
80031 1
0.6%
79373 1
0.6%
78625 1
0.6%
78184 1
0.6%
78081 1
0.6%
77716 1
0.6%
77276 1
0.6%
20100 1
0.6%
15886 1
0.6%
13462 1
0.6%

6급장애인수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5272.1222
Minimum0
Maximum91065
Zeros149
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:47.913871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile35064.95
Maximum91065
Range91065
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18016.473
Coefficient of variation (CV)3.4173094
Kurtosis15.163778
Mean5272.1222
Median Absolute Deviation (MAD)0
Skewness3.9665279
Sum948982
Variance3.2459329 × 108
MonotonicityNot monotonic
2024-04-11T11:47:48.064954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 149
82.8%
1 3
 
1.7%
7408 1
 
0.6%
7468 1
 
0.6%
84892 1
 
0.6%
33180 1
 
0.6%
3792 1
 
0.6%
7405 1
 
0.6%
85778 1
 
0.6%
33685 1
 
0.6%
Other values (20) 20
 
11.1%
ValueCountFrequency (%)
0 149
82.8%
1 3
 
1.7%
3792 1
 
0.6%
4373 1
 
0.6%
4846 1
 
0.6%
5159 1
 
0.6%
5480 1
 
0.6%
5776 1
 
0.6%
6139 1
 
0.6%
7405 1
 
0.6%
ValueCountFrequency (%)
91065 1
0.6%
89906 1
0.6%
88912 1
0.6%
87791 1
0.6%
86647 1
0.6%
85778 1
0.6%
84892 1
0.6%
36315 1
0.6%
35653 1
0.6%
35034 1
0.6%

심한 장애인수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct74
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5861.6833
Minimum0
Maximum51191
Zeros105
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:48.240473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32424.5
95-th percentile44609.05
Maximum51191
Range51191
Interquartile range (IQR)2424.5

Descriptive statistics

Standard deviation12745.189
Coefficient of variation (CV)2.1743224
Kurtosis5.0773344
Mean5861.6833
Median Absolute Deviation (MAD)0
Skewness2.4407043
Sum1055103
Variance1.6243985 × 108
MonotonicityNot monotonic
2024-04-11T11:47:48.411843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105
58.3%
170 2
 
1.1%
338 2
 
1.1%
9491 1
 
0.6%
19563 1
 
0.6%
8287 1
 
0.6%
2446 1
 
0.6%
337 1
 
0.6%
1036 1
 
0.6%
6108 1
 
0.6%
Other values (64) 64
35.6%
ValueCountFrequency (%)
0 105
58.3%
152 1
 
0.6%
170 2
 
1.1%
173 1
 
0.6%
183 1
 
0.6%
330 1
 
0.6%
331 1
 
0.6%
334 1
 
0.6%
335 1
 
0.6%
337 1
 
0.6%
ValueCountFrequency (%)
51191 1
0.6%
50767 1
0.6%
50126 1
0.6%
49698 1
0.6%
49449 1
0.6%
48504 1
0.6%
48448 1
0.6%
47295 1
0.6%
45883 1
0.6%
44542 1
0.6%

심하지 않은 장애인수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct64
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10135.689
Minimum0
Maximum216606
Zeros117
Zeros (%)65.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-11T11:47:48.603102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3528
95-th percentile53075.6
Maximum216606
Range216606
Interquartile range (IQR)528

Descriptive statistics

Standard deviation37075.663
Coefficient of variation (CV)3.6579322
Kurtosis24.138008
Mean10135.689
Median Absolute Deviation (MAD)0
Skewness4.8713558
Sum1824424
Variance1.3746048 × 109
MonotonicityNot monotonic
2024-04-11T11:47:48.787557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 117
65.0%
21274 1
 
0.6%
2722 1
 
0.6%
292 1
 
0.6%
276 1
 
0.6%
17479 1
 
0.6%
44721 1
 
0.6%
1053 1
 
0.6%
3894 1
 
0.6%
216276 1
 
0.6%
Other values (54) 54
30.0%
ValueCountFrequency (%)
0 117
65.0%
59 1
 
0.6%
62 1
 
0.6%
79 1
 
0.6%
99 1
 
0.6%
127 1
 
0.6%
150 1
 
0.6%
186 1
 
0.6%
258 1
 
0.6%
276 1
 
0.6%
ValueCountFrequency (%)
216606 1
0.6%
216276 1
0.6%
216053 1
0.6%
214825 1
0.6%
212166 1
0.6%
70964 1
0.6%
67731 1
0.6%
63468 1
0.6%
58521 1
0.6%
52789 1
0.6%

Interactions

2024-04-11T11:47:43.360294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:32.290877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:33.652111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:34.779988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:35.910356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:37.406108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:38.576650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:39.669173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:40.826008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:42.184577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:43.466402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:32.448991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:33.758767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:34.892292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:36.035474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:37.520865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:38.691231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:39.782613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:40.933113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:42.302457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:43.566120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:32.752324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:33.868509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:35.000209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:36.149453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:37.630121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:38.812146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:39.896595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:41.035540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:42.406664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:43.664202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:32.864931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:33.981262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:35.113838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:36.282582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:37.743109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:38.922131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:40.017586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:41.144072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:42.536587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:43.771428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:32.981717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:34.113092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:35.242310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:36.404180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:37.869798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:39.032681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:40.158762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:41.252439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:42.684946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:43.883068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:33.091973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:34.233783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:35.364120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:36.540316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:37.988526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:39.135198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:40.270963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:41.359485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:42.805032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:43.982406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:33.197080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:34.333237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:35.465359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:36.650453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:38.105705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:39.242634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:40.382133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:41.458251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:42.919116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:44.105274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:33.329456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:34.448245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:35.585118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:36.787790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:38.232927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:39.364288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:40.527224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:41.886761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:43.043574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:44.200245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:33.431312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:34.553065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:35.684472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:36.891095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:38.347005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:39.470428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:40.625574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:41.986070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:43.148618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:44.321274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:33.545203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:34.669832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:35.803024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:36.998607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:38.463486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:39.573910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:40.723364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:42.089622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-11T11:47:43.255098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-11T11:47:48.920123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도장애유형명합계(명)1급장애인수(명)2급장애인수(명)3급장애인수(명)4급장애인수(명)5급장애인수(명)6급장애인수(명)심한 장애인수(명)심하지 않은 장애인수(명)
기준년도1.0000.0000.0000.0000.0000.0000.0000.0000.0000.3300.095
장애유형명0.0001.0000.9640.8630.7950.8440.8080.7760.7950.7500.794
합계(명)0.0000.9641.0000.6850.4780.5900.6250.5650.5830.6090.906
1급장애인수(명)0.0000.8630.6851.0000.8200.8920.9790.9510.9830.0000.000
2급장애인수(명)0.0000.7950.4780.8201.0000.8770.7820.8030.5480.0000.000
3급장애인수(명)0.0000.8440.5900.8920.8771.0000.9100.9200.7630.0000.000
4급장애인수(명)0.0000.8080.6250.9790.7820.9101.0000.9700.9340.0000.000
5급장애인수(명)0.0000.7760.5650.9510.8030.9200.9701.0000.9810.0000.000
6급장애인수(명)0.0000.7950.5830.9830.5480.7630.9340.9811.0000.0000.000
심한 장애인수(명)0.3300.7500.6090.0000.0000.0000.0000.0000.0001.0000.775
심하지 않은 장애인수(명)0.0950.7940.9060.0000.0000.0000.0000.0000.0000.7751.000
2024-04-11T11:47:49.431062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도합계(명)1급장애인수(명)2급장애인수(명)3급장애인수(명)4급장애인수(명)5급장애인수(명)6급장애인수(명)심한 장애인수(명)심하지 않은 장애인수(명)장애유형명
기준년도1.0000.091-0.764-0.759-0.757-0.649-0.611-0.3520.8200.7330.000
합계(명)0.0911.0000.2100.2110.1760.0810.0840.4760.2410.1590.726
1급장애인수(명)-0.7640.2101.0000.9670.9220.6590.6830.593-0.846-0.7470.590
2급장애인수(명)-0.7590.2110.9671.0000.9220.6690.6680.539-0.846-0.7470.470
3급장애인수(명)-0.7570.1760.9220.9221.0000.7000.6270.588-0.846-0.7470.579
4급장애인수(명)-0.6490.0810.6590.6690.7001.0000.9240.669-0.727-0.6420.593
5급장애인수(명)-0.6110.0840.6830.6680.6270.9241.0000.663-0.701-0.6190.551
6급장애인수(명)-0.3520.4760.5930.5390.5880.6690.6631.000-0.366-0.3230.575
심한 장애인수(명)0.8200.241-0.846-0.846-0.846-0.727-0.701-0.3661.0000.7930.452
심하지 않은 장애인수(명)0.7330.159-0.747-0.747-0.747-0.642-0.619-0.3230.7931.0000.454
장애유형명0.0000.7260.5900.4700.5790.5930.5510.5750.4520.4541.000

Missing values

2024-04-11T11:47:44.463366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-11T11:47:44.694546image/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

기준년도장애유형명합계(명)1급장애인수(명)2급장애인수(명)3급장애인수(명)4급장애인수(명)5급장애인수(명)6급장애인수(명)심한 장애인수(명)심하지 않은 장애인수(명)
02023간40460000001523894
12023뇌병변542300000003145822772
22023뇌전증14280000004011027
32023시각54685000000926845417
42023신장26617000000195127105
52023심장1243000000940303
62023안면651000000330321
72023언어526600000025472719
82023자폐성11767000000117670
92023장루.요루40330000003733660
기준년도장애유형명합계(명)1급장애인수(명)2급장애인수(명)3급장애인수(명)4급장애인수(명)5급장애인수(명)6급장애인수(명)심한 장애인수(명)심하지 않은 장애인수(명)
1702012심장17456321413484115100
1712012안면56119981892478000
1722012언어347617294147016941000
1732012자폐성41622173131667300000
1742012장루.요루280513217712271368000
1752012정신1665758758051026130100
1762012지적3406310286107631301400000
1772012지체2714527486143603356751116800318489200
1782012청각478141562925983401012111064746800
1792012호흡기2729510714149618000