Overview

Dataset statistics

Number of variables10
Number of observations217
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.0 KiB
Average record size in memory89.6 B

Variable types

Numeric8
Categorical2

Dataset

Description장애인출산비용지원 태아기준 집계현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=M8DD4YAPTELGS8NU8RW426214873&infSeq=1

Alerts

배정인원수(명) is highly overall correlated with 전체지원인원수(명) and 2 other fieldsHigh correlation
전체지원인원수(명) is highly overall correlated with 배정인원수(명) and 3 other fieldsHigh correlation
단태아지원인원수(명) is highly overall correlated with 배정인원수(명) and 3 other fieldsHigh correlation
당해년도출산인원수(명) is highly overall correlated with 배정인원수(명) and 3 other fieldsHigh correlation
배정인원대비지원비율(%) is highly overall correlated with 전체지원인원수(명) and 2 other fieldsHigh correlation
유산사산지원인원수(명) is highly imbalanced (69.2%)Imbalance
전체지원인원수(명) has 15 (6.9%) zerosZeros
단태아지원인원수(명) has 17 (7.8%) zerosZeros
다태아지원인원수(명) has 176 (81.1%) zerosZeros
이전년도출산인원수(명) has 87 (40.1%) zerosZeros
당해년도출산인원수(명) has 16 (7.4%) zerosZeros
배정인원대비지원비율(%) has 15 (6.9%) zerosZeros

Reproduction

Analysis started2023-12-10 21:17:23.214060
Analysis finished2023-12-10 21:17:29.876213
Duration6.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019
Minimum2016
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:17:29.928370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2019
Q32021
95-th percentile2022
Maximum2022
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0046243
Coefficient of variation (CV)0.00099287978
Kurtosis-1.2511193
Mean2019
Median Absolute Deviation (MAD)2
Skewness0
Sum438123
Variance4.0185185
MonotonicityDecreasing
2023-12-11T06:17:30.021586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2022 31
14.3%
2021 31
14.3%
2020 31
14.3%
2019 31
14.3%
2018 31
14.3%
2017 31
14.3%
2016 31
14.3%
ValueCountFrequency (%)
2016 31
14.3%
2017 31
14.3%
2018 31
14.3%
2019 31
14.3%
2020 31
14.3%
2021 31
14.3%
2022 31
14.3%
ValueCountFrequency (%)
2022 31
14.3%
2021 31
14.3%
2020 31
14.3%
2019 31
14.3%
2018 31
14.3%
2017 31
14.3%
2016 31
14.3%

시군명
Categorical

Distinct31
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
가평군
 
7
고양시
 
7
과천시
 
7
광명시
 
7
광주시
 
7
Other values (26)
182 

Length

Max length4
Median length3
Mean length3.0967742
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row고양시
3rd row과천시
4th row광명시
5th row광주시

Common Values

ValueCountFrequency (%)
가평군 7
 
3.2%
고양시 7
 
3.2%
과천시 7
 
3.2%
광명시 7
 
3.2%
광주시 7
 
3.2%
구리시 7
 
3.2%
군포시 7
 
3.2%
김포시 7
 
3.2%
남양주시 7
 
3.2%
동두천시 7
 
3.2%
Other values (21) 147
67.7%

Length

2023-12-11T06:17:30.136910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가평군 7
 
3.2%
안양시 7
 
3.2%
하남시 7
 
3.2%
포천시 7
 
3.2%
평택시 7
 
3.2%
파주시 7
 
3.2%
이천시 7
 
3.2%
의정부시 7
 
3.2%
의왕시 7
 
3.2%
용인시 7
 
3.2%
Other values (21) 147
67.7%

배정인원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.668203
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:17:30.243418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q315
95-th percentile29
Maximum35
Range34
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.0335266
Coefficient of variation (CV)0.68849734
Kurtosis0.26418002
Mean11.668203
Median Absolute Deviation (MAD)5
Skewness0.94356054
Sum2532
Variance64.537549
MonotonicityNot monotonic
2023-12-11T06:17:30.395301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
8 22
 
10.1%
5 21
 
9.7%
15 15
 
6.9%
2 14
 
6.5%
13 14
 
6.5%
11 13
 
6.0%
3 13
 
6.0%
7 11
 
5.1%
4 8
 
3.7%
16 7
 
3.2%
Other values (22) 79
36.4%
ValueCountFrequency (%)
1 4
 
1.8%
2 14
6.5%
3 13
6.0%
4 8
 
3.7%
5 21
9.7%
6 7
 
3.2%
7 11
5.1%
8 22
10.1%
9 4
 
1.8%
10 7
 
3.2%
ValueCountFrequency (%)
35 2
 
0.9%
34 1
 
0.5%
33 1
 
0.5%
30 6
2.8%
29 2
 
0.9%
28 2
 
0.9%
27 2
 
0.9%
26 2
 
0.9%
25 5
2.3%
24 2
 
0.9%

전체지원인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0230415
Minimum0
Maximum35
Zeros15
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:17:30.569675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q313
95-th percentile24
Maximum35
Range35
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.2975404
Coefficient of variation (CV)0.80876725
Kurtosis0.32457822
Mean9.0230415
Median Absolute Deviation (MAD)5
Skewness0.92005163
Sum1958
Variance53.254096
MonotonicityNot monotonic
2023-12-11T06:17:30.708585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2 17
 
7.8%
6 17
 
7.8%
0 15
 
6.9%
4 15
 
6.9%
1 14
 
6.5%
5 13
 
6.0%
11 12
 
5.5%
7 12
 
5.5%
3 11
 
5.1%
15 9
 
4.1%
Other values (20) 82
37.8%
ValueCountFrequency (%)
0 15
6.9%
1 14
6.5%
2 17
7.8%
3 11
5.1%
4 15
6.9%
5 13
6.0%
6 17
7.8%
7 12
5.5%
8 7
3.2%
9 7
3.2%
ValueCountFrequency (%)
35 1
 
0.5%
29 1
 
0.5%
28 2
 
0.9%
27 1
 
0.5%
26 2
 
0.9%
24 6
2.8%
23 1
 
0.5%
22 3
1.4%
21 2
 
0.9%
20 4
1.8%

단태아지원인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3133641
Minimum0
Maximum29
Zeros17
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:17:30.843454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q313
95-th percentile21.2
Maximum29
Range29
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.7194753
Coefficient of variation (CV)0.80827391
Kurtosis0.17216896
Mean8.3133641
Median Absolute Deviation (MAD)5
Skewness0.86736148
Sum1804
Variance45.151348
MonotonicityNot monotonic
2023-12-11T06:17:30.957645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 19
 
8.8%
0 17
 
7.8%
6 17
 
7.8%
4 15
 
6.9%
1 15
 
6.9%
9 14
 
6.5%
3 13
 
6.0%
13 13
 
6.0%
7 12
 
5.5%
5 10
 
4.6%
Other values (19) 72
33.2%
ValueCountFrequency (%)
0 17
7.8%
1 15
6.9%
2 19
8.8%
3 13
6.0%
4 15
6.9%
5 10
4.6%
6 17
7.8%
7 12
5.5%
8 6
 
2.8%
9 14
6.5%
ValueCountFrequency (%)
29 1
 
0.5%
28 1
 
0.5%
27 1
 
0.5%
26 2
0.9%
24 3
1.4%
23 1
 
0.5%
22 2
0.9%
21 2
0.9%
20 2
0.9%
19 4
1.8%

다태아지원인원수(명)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.44700461
Minimum0
Maximum6
Zeros176
Zeros (%)81.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:17:31.067808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0444752
Coefficient of variation (CV)2.3366095
Kurtosis10.163571
Mean0.44700461
Median Absolute Deviation (MAD)0
Skewness2.8854385
Sum97
Variance1.0909285
MonotonicityNot monotonic
2023-12-11T06:17:31.169847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 176
81.1%
2 34
 
15.7%
6 3
 
1.4%
3 2
 
0.9%
1 1
 
0.5%
4 1
 
0.5%
ValueCountFrequency (%)
0 176
81.1%
1 1
 
0.5%
2 34
 
15.7%
3 2
 
0.9%
4 1
 
0.5%
6 3
 
1.4%
ValueCountFrequency (%)
6 3
 
1.4%
4 1
 
0.5%
3 2
 
0.9%
2 34
 
15.7%
1 1
 
0.5%
0 176
81.1%

유산사산지원인원수(명)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
0
205 
1
 
12

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 (%)
0 205
94.5%
1 12
 
5.5%

Length

2023-12-11T06:17:31.318006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:17:31.427939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 205
94.5%
1 12
 
5.5%

이전년도출산인원수(명)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2718894
Minimum0
Maximum28
Zeros87
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:17:31.518154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile15
Maximum28
Range28
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.4394642
Coefficient of variation (CV)1.6624841
Kurtosis6.3483339
Mean3.2718894
Median Absolute Deviation (MAD)1
Skewness2.4827617
Sum710
Variance29.587771
MonotonicityNot monotonic
2023-12-11T06:17:31.641744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 87
40.1%
1 37
17.1%
2 20
 
9.2%
3 19
 
8.8%
4 8
 
3.7%
7 8
 
3.7%
6 7
 
3.2%
11 5
 
2.3%
12 3
 
1.4%
5 3
 
1.4%
Other values (14) 20
 
9.2%
ValueCountFrequency (%)
0 87
40.1%
1 37
17.1%
2 20
 
9.2%
3 19
 
8.8%
4 8
 
3.7%
5 3
 
1.4%
6 7
 
3.2%
7 8
 
3.7%
8 1
 
0.5%
9 1
 
0.5%
ValueCountFrequency (%)
28 1
0.5%
26 1
0.5%
25 1
0.5%
24 2
0.9%
23 1
0.5%
20 1
0.5%
19 1
0.5%
18 1
0.5%
17 1
0.5%
15 2
0.9%

당해년도출산인원수(명)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)12.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.281106
Minimum0
Maximum34
Zeros16
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:17:31.772023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q312
95-th percentile22
Maximum34
Range34
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.7754501
Coefficient of variation (CV)0.81818179
Kurtosis0.65888532
Mean8.281106
Median Absolute Deviation (MAD)5
Skewness1.003197
Sum1797
Variance45.906725
MonotonicityNot monotonic
2023-12-11T06:17:31.895484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
7 19
 
8.8%
2 18
 
8.3%
0 16
 
7.4%
1 16
 
7.4%
5 15
 
6.9%
4 15
 
6.9%
6 14
 
6.5%
13 11
 
5.1%
3 11
 
5.1%
12 11
 
5.1%
Other values (17) 71
32.7%
ValueCountFrequency (%)
0 16
7.4%
1 16
7.4%
2 18
8.3%
3 11
5.1%
4 15
6.9%
5 15
6.9%
6 14
6.5%
7 19
8.8%
8 5
 
2.3%
9 9
4.1%
ValueCountFrequency (%)
34 1
 
0.5%
27 2
0.9%
25 2
0.9%
24 3
1.4%
23 2
0.9%
22 4
1.8%
21 2
0.9%
20 2
0.9%
19 4
1.8%
18 4
1.8%

배정인원대비지원비율(%)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct67
Distinct (%)30.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.71429
Minimum0
Maximum7700
Zeros15
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-11T06:17:32.045704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q154
median77.3
Q3100
95-th percentile100
Maximum7700
Range7700
Interquartile range (IQR)46

Descriptive statistics

Standard deviation739.35506
Coefficient of variation (CV)4.8733384
Kurtosis95.599919
Mean151.71429
Median Absolute Deviation (MAD)22.7
Skewness9.7074844
Sum32922
Variance546645.9
MonotonicityNot monotonic
2023-12-11T06:17:32.229740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 56
25.8%
0.0 15
 
6.9%
50.0 11
 
5.1%
40.0 7
 
3.2%
80.0 6
 
2.8%
75.0 6
 
2.8%
88.0 6
 
2.8%
60.0 6
 
2.8%
67.0 6
 
2.8%
63.0 5
 
2.3%
Other values (57) 93
42.9%
ValueCountFrequency (%)
0.0 15
6.9%
20.0 1
 
0.5%
25.0 4
 
1.8%
27.0 1
 
0.5%
29.0 1
 
0.5%
33.0 4
 
1.8%
33.3 1
 
0.5%
36.0 1
 
0.5%
38.0 2
 
0.9%
40.0 7
3.2%
ValueCountFrequency (%)
7700.0 1
 
0.5%
7500.0 1
 
0.5%
2500.0 1
 
0.5%
200.0 1
 
0.5%
120.0 1
 
0.5%
100.0 56
25.8%
97.0 1
 
0.5%
96.0 1
 
0.5%
95.0 1
 
0.5%
93.3 1
 
0.5%

Interactions

2023-12-11T06:17:28.924618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:23.624880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.273545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.923041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.672677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.505718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.299785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:28.010400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:29.029628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:23.712196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.353846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.012196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.772472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.614211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.385545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:28.298957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:29.111503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:23.797006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.429280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.093218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.859874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.729946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.486813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:28.388899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:29.200229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:23.880574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.510148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.184254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.951029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.812211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.581045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:28.479310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:29.284838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:23.960420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.590024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.269308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.047271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.892823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.673780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:28.558382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:29.362148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.033846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.671484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.350590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.189513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.976602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.751693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:28.648132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:29.444570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.108815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.743954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.428236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.288613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.076914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.827859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:28.723958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:29.541611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.190535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:24.830844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:25.557470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:26.404123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.166138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:27.910054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:17:28.812567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:17:32.343723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명배정인원수(명)전체지원인원수(명)단태아지원인원수(명)다태아지원인원수(명)유산사산지원인원수(명)이전년도출산인원수(명)당해년도출산인원수(명)배정인원대비지원비율(%)
기준년도1.0000.0000.0000.0000.0000.0160.1170.4820.0000.280
시군명0.0001.0000.8220.7870.7390.2720.2970.3270.7530.000
배정인원수(명)0.0000.8221.0000.9130.9030.5740.2780.3400.8050.000
전체지원인원수(명)0.0000.7870.9131.0000.9560.6810.2430.2450.9400.000
단태아지원인원수(명)0.0000.7390.9030.9561.0000.4020.2750.2890.8830.000
다태아지원인원수(명)0.0160.2720.5740.6810.4021.0000.0000.0000.6390.000
유산사산지원인원수(명)0.1170.2970.2780.2430.2750.0001.0000.0000.1510.000
이전년도출산인원수(명)0.4820.3270.3400.2450.2890.0000.0001.0000.1830.000
당해년도출산인원수(명)0.0000.7530.8050.9400.8830.6390.1510.1831.0000.000
배정인원대비지원비율(%)0.2800.0000.0000.0000.0000.0000.0000.0000.0001.000
2023-12-11T06:17:32.470429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명유산사산지원인원수(명)
시군명1.0000.234
유산사산지원인원수(명)0.2341.000
2023-12-11T06:17:32.581257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도배정인원수(명)전체지원인원수(명)단태아지원인원수(명)다태아지원인원수(명)이전년도출산인원수(명)당해년도출산인원수(명)배정인원대비지원비율(%)시군명유산사산지원인원수(명)
기준년도1.000-0.100-0.091-0.062-0.0160.174-0.075-0.0060.0000.069
배정인원수(명)-0.1001.0000.9300.8990.3520.3950.9390.2850.4380.208
전체지원인원수(명)-0.0910.9301.0000.9590.3900.3620.9740.5530.3620.149
단태아지원인원수(명)-0.0620.8990.9591.0000.2780.3610.9380.5300.3450.206
다태아지원인원수(명)-0.0160.3520.3900.2781.0000.1560.3790.2370.1130.000
이전년도출산인원수(명)0.1740.3950.3620.3610.1561.0000.3250.1040.1120.000
당해년도출산인원수(명)-0.0750.9390.9740.9380.3790.3251.0000.5010.3750.147
배정인원대비지원비율(%)-0.0060.2850.5530.5300.2370.1040.5011.0000.0000.000
시군명0.0000.4380.3620.3450.1130.1120.3750.0001.0000.234
유산사산지원인원수(명)0.0690.2080.1490.2060.0000.0000.1470.0000.2341.000

Missing values

2023-12-11T06:17:29.685897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:17:29.821310image/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

기준년도시군명배정인원수(명)전체지원인원수(명)단태아지원인원수(명)다태아지원인원수(명)유산사산지원인원수(명)이전년도출산인원수(명)당해년도출산인원수(명)배정인원대비지원비율(%)
02022가평군2220002100.0
12022고양시17151320131588.0
22022과천시20000100.0
32022광명시744007457.0
42022광주시13752011754.0
52022구리시522001240.0
62022군포시944001444.0
72022김포시1311110061185.0
82022남양주시14121200121286.0
92022동두천시522001240.0
기준년도시군명배정인원수(명)전체지원인원수(명)단태아지원인원수(명)다태아지원인원수(명)유산사산지원인원수(명)이전년도출산인원수(명)당해년도출산인원수(명)배정인원대비지원비율(%)
2072016오산시6660006100.0
2082016용인시2217152031477.3
2092016의왕시522000240.0
2102016의정부시1513130021186.7
2112016이천시9990027100.0
2122016파주시1512120011180.0
2132016평택시1598012760.0
2142016포천시866000675.0
2152016하남시6660015100.0
2162016화성시24242040222100.0