Overview

Dataset statistics

Number of variables13
Number of observations226
Missing cells447
Missing cells (%)15.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.3 KiB
Average record size in memory105.6 B

Variable types

Categorical8
Boolean2
Text2
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,가입 보험명,대상여부,가입여부,업체명1,업체명2,업체명3,공시차수,주소
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-20863/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
업체명3 has constant value ""Constant
주소 is highly overall correlated with 공시차수 and 3 other fieldsHigh correlation
대상여부 is highly overall correlated with 가입여부High correlation
가입여부 is highly overall correlated with 대상여부 and 1 other fieldsHigh correlation
설립유형 is highly overall correlated with 유치원코드 and 2 other fieldsHigh correlation
유치원명 is highly overall correlated with 공시차수 and 3 other fieldsHigh correlation
업체명1 is highly overall correlated with 가입여부High correlation
유치원코드 is highly overall correlated with 공시차수 and 3 other fieldsHigh correlation
공시차수 is highly overall correlated with 유치원코드 and 3 other fieldsHigh correlation
가입 보험명 is highly overall correlated with 공시차수High correlation
업체명2 has 222 (98.2%) missing valuesMissing
업체명3 has 225 (99.6%) missing valuesMissing

Reproduction

Analysis started2024-03-13 09:22:16.078393
Analysis finished2024-03-13 09:22:17.237990
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
서울특별시교육청
226 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 226
100.0%

Length

2024-03-13T18:22:17.295070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:22:17.391501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 226
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
북부교육지원청
226 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 226
100.0%

Length

2024-03-13T18:22:17.476411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:22:17.555895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부교육지원청 226
100.0%

유치원코드
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
1ecec08c-eed0-b044-e053-0a32095ab044
 
8
1ecec08c-f050-b044-e053-0a32095ab044
 
8
1ecec08d-00a8-b044-e053-0a32095ab044
 
8
1ecec08d-040a-b044-e053-0a32095ab044
 
7
1ecec08d-09d1-b044-e053-0a32095ab044
 
7
Other values (31)
188 

Length

Max length36
Median length36
Mean length36
Min length36

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12c109c2-23b7-4e98-a3e1-57e391f3a55a
2nd row12c109c2-23b7-4e98-a3e1-57e391f3a55a
3rd row12c109c2-23b7-4e98-a3e1-57e391f3a55a
4th row12c109c2-23b7-4e98-a3e1-57e391f3a55a
5th row12c109c2-23b7-4e98-a3e1-57e391f3a55a

Common Values

ValueCountFrequency (%)
1ecec08c-eed0-b044-e053-0a32095ab044 8
 
3.5%
1ecec08c-f050-b044-e053-0a32095ab044 8
 
3.5%
1ecec08d-00a8-b044-e053-0a32095ab044 8
 
3.5%
1ecec08d-040a-b044-e053-0a32095ab044 7
 
3.1%
1ecec08d-09d1-b044-e053-0a32095ab044 7
 
3.1%
1ecec08c-eecf-b044-e053-0a32095ab044 7
 
3.1%
1ecec08d-0ec5-b044-e053-0a32095ab044 7
 
3.1%
1ecec08c-f5d4-b044-e053-0a32095ab044 6
 
2.7%
1ecec08d-0157-b044-e053-0a32095ab044 6
 
2.7%
1ecec08d-006d-b044-e053-0a32095ab044 6
 
2.7%
Other values (26) 156
69.0%

Length

2024-03-13T18:22:17.634922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1ecec08c-eed0-b044-e053-0a32095ab044 8
 
3.5%
1ecec08d-00a8-b044-e053-0a32095ab044 8
 
3.5%
1ecec08c-f050-b044-e053-0a32095ab044 8
 
3.5%
1ecec08d-040a-b044-e053-0a32095ab044 7
 
3.1%
1ecec08d-09d1-b044-e053-0a32095ab044 7
 
3.1%
1ecec08c-eecf-b044-e053-0a32095ab044 7
 
3.1%
1ecec08d-0ec5-b044-e053-0a32095ab044 7
 
3.1%
1ecec08d-08cf-b044-e053-0a32095ab044 6
 
2.7%
6a9d51ce-eb32-4ff3-b2c8-16baa768c7ed 6
 
2.7%
9274b95a-f964-4434-aa72-f188312b1983 6
 
2.7%
Other values (26) 156
69.0%

유치원명
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
슬기유치원
 
8
예랑유치원
 
8
삼풍유치원
 
8
사랑유치원
 
7
유화유치원
 
7
Other values (31)
188 

Length

Max length13
Median length5
Mean length7.3451327
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
슬기유치원 8
 
3.5%
예랑유치원 8
 
3.5%
삼풍유치원 8
 
3.5%
사랑유치원 7
 
3.1%
유화유치원 7
 
3.1%
선희유치원 7
 
3.1%
자연아이유치원 7
 
3.1%
서울도봉초등학교병설유치원 6
 
2.7%
자연유치원 6
 
2.7%
서울창동초등학교병설유치원 6
 
2.7%
Other values (26) 156
69.0%

Length

2024-03-13T18:22:17.747536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
슬기유치원 8
 
3.5%
삼풍유치원 8
 
3.5%
예랑유치원 8
 
3.5%
사랑유치원 7
 
3.1%
유화유치원 7
 
3.1%
선희유치원 7
 
3.1%
자연아이유치원 7
 
3.1%
솔샘유치원 6
 
2.7%
서울신학초등학교병설유치원 6
 
2.7%
서울오봉초등학교병설유치원 6
 
2.7%
Other values (26) 156
69.0%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
사립(사인)
140 
공립(병설)
54 
사립(법인)
20 
공립(단설)
 
12

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공립(병설)
2nd row공립(병설)
3rd row공립(병설)
4th row공립(병설)
5th row공립(병설)

Common Values

ValueCountFrequency (%)
사립(사인) 140
61.9%
공립(병설) 54
 
23.9%
사립(법인) 20
 
8.8%
공립(단설) 12
 
5.3%

Length

2024-03-13T18:22:17.881284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:22:18.011324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 140
61.9%
공립(병설 54
 
23.9%
사립(법인 20
 
8.8%
공립(단설 12
 
5.3%

가입 보험명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
화재보험
36 
가스배상책임보험
36 
놀이시설 안전보험
36 
영유아생명신체피해(상해보험)
36 
통학버스 종합보험
36 
Other values (10)
46 

Length

Max length15
Median length11
Mean length8.960177
Min length3

Unique

Unique8 ?
Unique (%)3.5%

Sample

1st row화재보험
2nd row가스배상책임보험
3rd row놀이시설 안전보험
4th row영유아생명신체피해(상해보험)
5th row통학버스 종합보험

Common Values

ValueCountFrequency (%)
화재보험 36
15.9%
가스배상책임보험 36
15.9%
놀이시설 안전보험 36
15.9%
영유아생명신체피해(상해보험) 36
15.9%
통학버스 종합보험 36
15.9%
통학버스 책임보험 36
15.9%
생산물배상책임보험 2
 
0.9%
유아교육기관종합보험 1
 
0.4%
유아종합보험 1
 
0.4%
교사실손보험 1
 
0.4%
Other values (5) 5
 
2.2%

Length

2024-03-13T18:22:18.936267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통학버스 73
21.7%
화재보험 36
10.7%
놀이시설 36
10.7%
안전보험 36
10.7%
영유아생명신체피해(상해보험 36
10.7%
종합보험 36
10.7%
책임보험 36
10.7%
가스배상책임보험 36
10.7%
생산물배상책임보험 2
 
0.6%
교육시설 1
 
0.3%
Other values (9) 9
 
2.7%

대상여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size358.0 B
True
190 
False
36 
ValueCountFrequency (%)
True 190
84.1%
False 36
 
15.9%
2024-03-13T18:22:19.026806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가입여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size358.0 B
True
187 
False
39 
ValueCountFrequency (%)
True 187
82.7%
False 39
 
17.3%
2024-03-13T18:22:19.100623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

업체명1
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
39 
학교안전공제회
38 
현대해상
34 
한국교육시설안전원
28 
현대해상화재보험
13 
Other values (32)
74 

Length

Max length20
Median length19
Mean length6.7212389
Min length2

Unique

Unique17 ?
Unique (%)7.5%

Sample

1st row한국교육시설안전원
2nd row한화손해보험
3rd row<NA>
4th row학교안전공제회
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
17.3%
학교안전공제회 38
16.8%
현대해상 34
15.0%
한국교육시설안전원 28
12.4%
현대해상화재보험 13
 
5.8%
KB손해보험 12
 
5.3%
삼성화재 10
 
4.4%
한국교육안전공제회 4
 
1.8%
삼성화재해상보험 4
 
1.8%
학교배상책임공제 4
 
1.8%
Other values (27) 40
17.7%

Length

2024-03-13T18:22:19.205975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 39
17.0%
학교안전공제회 39
17.0%
현대해상 34
14.8%
한국교육시설안전원 28
12.2%
현대해상화재보험 13
 
5.7%
kb손해보험 12
 
5.2%
삼성화재 10
 
4.4%
전국전세버스운송사업조합연합회 4
 
1.7%
한국교육안전공제회 4
 
1.7%
삼성화재해상보험 4
 
1.7%
Other values (27) 42
18.3%

업체명2
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing222
Missing (%)98.2%
Memory size1.9 KiB
2024-03-13T18:22:19.338506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5.5
Mean length4
Min length1

Characters and Unicode

Total characters16
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row현대해상
2nd row현대해상
3rd row학교안전공제회
4th row-
ValueCountFrequency (%)
현대해상 2
50.0%
학교안전공제회 1
25.0%
1
25.0%
2024-03-13T18:22:19.577002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
현 2
12.5%
대 2
12.5%
해 2
12.5%
상 2
12.5%
학 1
6.2%
교 1
6.2%
안 1
6.2%
전 1
6.2%
공 1
6.2%
제 1
6.2%
Other values (2) 2
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15
93.8%
Dash Punctuation 1
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
현 2
13.3%
대 2
13.3%
해 2
13.3%
상 2
13.3%
학 1
6.7%
교 1
6.7%
안 1
6.7%
전 1
6.7%
공 1
6.7%
제 1
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15
93.8%
Common 1
 
6.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
현 2
13.3%
대 2
13.3%
해 2
13.3%
상 2
13.3%
학 1
6.7%
교 1
6.7%
안 1
6.7%
전 1
6.7%
공 1
6.7%
제 1
6.7%
Common
ValueCountFrequency (%)
- 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15
93.8%
ASCII 1
 
6.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
현 2
13.3%
대 2
13.3%
해 2
13.3%
상 2
13.3%
학 1
6.7%
교 1
6.7%
안 1
6.7%
전 1
6.7%
공 1
6.7%
제 1
6.7%
ASCII
ValueCountFrequency (%)
- 1
100.0%

업체명3
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing225
Missing (%)99.6%
Memory size1.9 KiB
2024-03-13T18:22:19.652648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row-
ValueCountFrequency (%)
1
100.0%
2024-03-13T18:22:19.851664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Dash Punctuation 1
100.0%

Most frequent character per category

Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1
100.0%

공시차수
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221.77
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-13T18:22:19.952501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20182
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18.942021
Coefficient of variation (CV)0.00093671429
Kurtosis0.14436465
Mean20221.77
Median Absolute Deviation (MAD)0
Skewness-1.4134686
Sum4570120
Variance358.80016
MonotonicityNot monotonic
2024-03-13T18:22:20.053499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20232 171
75.7%
20182 30
 
13.3%
20192 15
 
6.6%
20212 7
 
3.1%
20202 1
 
0.4%
20231 1
 
0.4%
20191 1
 
0.4%
ValueCountFrequency (%)
20182 30
 
13.3%
20191 1
 
0.4%
20192 15
 
6.6%
20202 1
 
0.4%
20212 7
 
3.1%
20231 1
 
0.4%
20232 171
75.7%
ValueCountFrequency (%)
20232 171
75.7%
20231 1
 
0.4%
20212 7
 
3.1%
20202 1
 
0.4%
20192 15
 
6.6%
20191 1
 
0.4%
20182 30
 
13.3%

주소
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
서울특별시 도봉구 도당로6길 14-11
 
13
서울특별시 도봉구 마들로 567
 
12
서울특별시 도봉구 도봉로180나길 33-29
 
8
서울특별시 도봉구 노해로63가길 101
 
8
서울특별시 도봉구 해등로4길 9
 
8
Other values (29)
177 

Length

Max length24
Median length21
Mean length18.845133
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 도봉구 노해로70길 96
2nd row서울특별시 도봉구 노해로70길 96
3rd row서울특별시 도봉구 노해로70길 96
4th row서울특별시 도봉구 노해로70길 96
5th row서울특별시 도봉구 노해로70길 96

Common Values

ValueCountFrequency (%)
서울특별시 도봉구 도당로6길 14-11 13
 
5.8%
서울특별시 도봉구 마들로 567 12
 
5.3%
서울특별시 도봉구 도봉로180나길 33-29 8
 
3.5%
서울특별시 도봉구 노해로63가길 101 8
 
3.5%
서울특별시 도봉구 해등로4길 9 8
 
3.5%
서울특별시 도봉구 시루봉로 101 7
 
3.1%
서울특별시 도봉구 마들로 620 7
 
3.1%
서울특별시 도봉구 해등로 241 7
 
3.1%
서울특별시 도봉구 삼양로 574-38 6
 
2.7%
서울특별시 도봉구 해등로 264 6
 
2.7%
Other values (24) 144
63.7%

Length

2024-03-13T18:22:20.228728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 226
25.0%
도봉구 226
25.0%
해등로 31
 
3.4%
마들로 25
 
2.8%
101 15
 
1.7%
도당로6길 13
 
1.4%
14-11 13
 
1.4%
시루봉로 13
 
1.4%
노해로 12
 
1.3%
567 12
 
1.3%
Other values (50) 318
35.2%

Interactions

2024-03-13T18:22:16.773296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T18:22:20.377612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2공시차수주소
유치원코드1.0001.0001.0000.0000.4180.3690.8641.0000.8821.000
유치원명1.0001.0001.0000.0000.4180.3690.8641.0000.8821.000
설립유형1.0001.0001.0000.0000.5130.4590.615NaN0.4450.974
가입 보험명0.0000.0000.0001.0000.3940.3720.8921.0000.8310.000
대상여부0.4180.4180.5130.3941.0000.9890.000NaN0.0740.403
가입여부0.3690.3690.4590.3720.9891.000NaNNaN0.0000.354
업체명10.8640.8640.6150.8920.000NaN1.0001.0000.6910.792
업체명21.0001.000NaN1.000NaNNaN1.0001.000NaN1.000
공시차수0.8820.8820.4450.8310.0740.0000.691NaN1.0000.791
주소1.0001.0000.9740.0000.4030.3540.7921.0000.7911.000
2024-03-13T18:22:20.510567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주소대상여부가입여부설립유형가입 보험명유치원명업체명1유치원코드
주소1.0000.2960.2600.8210.0000.9950.2650.995
대상여부0.2961.0000.9050.3470.3490.3060.0000.306
가입여부0.2600.9051.0000.3090.3290.2691.0000.269
설립유형0.8210.3470.3091.0000.0000.9250.3050.925
가입 보험명0.0000.3490.3290.0001.0000.0000.4840.000
유치원명0.9950.3060.2690.9250.0001.0000.2691.000
업체명10.2650.0001.0000.3050.4840.2691.0000.269
유치원코드0.9950.3060.2690.9250.0001.0000.2691.000
2024-03-13T18:22:20.616092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1주소
공시차수1.0000.7140.7140.2450.5370.0920.0000.3810.641
유치원코드0.7141.0001.0000.9250.0000.3060.2690.2690.995
유치원명0.7141.0001.0000.9250.0000.3060.2690.2690.995
설립유형0.2450.9250.9251.0000.0000.3470.3090.3050.821
가입 보험명0.5370.0000.0000.0001.0000.3490.3290.4840.000
대상여부0.0920.3060.3060.3470.3491.0000.9050.0000.296
가입여부0.0000.2690.2690.3090.3290.9051.0001.0000.260
업체명10.3810.2690.2690.3050.4840.0001.0001.0000.265
주소0.6410.9950.9950.8210.0000.2960.2600.2651.000

Missing values

2024-03-13T18:22:16.897076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T18:22:17.075864image/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.
2024-03-13T18:22:17.185574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

교육청명교육지원청명유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2업체명3공시차수주소
0서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 도봉구 노해로70길 96
1서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)가스배상책임보험YY한화손해보험<NA><NA>20232서울특별시 도봉구 노해로70길 96
2서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)놀이시설 안전보험NN<NA><NA><NA>20232서울특별시 도봉구 노해로70길 96
3서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 도봉구 노해로70길 96
4서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 도봉구 노해로70길 96
5서울특별시교육청북부교육지원청12c109c2-23b7-4e98-a3e1-57e391f3a55a서울월천초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 도봉구 노해로70길 96
6서울특별시교육청북부교육지원청1ecec08c-ed87-b044-e053-0a32095ab044햇살유치원사립(사인)가스배상책임보험YY메르츠화재해상보험주식회사<NA><NA>20232서울특별시 도봉구 우이천로32길 38
7서울특별시교육청북부교육지원청1ecec08c-ed87-b044-e053-0a32095ab044햇살유치원사립(사인)화재보험YY메르츠화재해상보험주식회사<NA><NA>20232서울특별시 도봉구 우이천로32길 38
8서울특별시교육청북부교육지원청1ecec08c-ed87-b044-e053-0a32095ab044햇살유치원사립(사인)통학버스 책임보험YY삼성화재해상보험<NA><NA>20232서울특별시 도봉구 우이천로32길 38
9서울특별시교육청북부교육지원청1ecec08c-ed87-b044-e053-0a32095ab044햇살유치원사립(사인)통학버스 종합보험YY삼성화재행상보험<NA><NA>20232서울특별시 도봉구 우이천로32길 38
교육청명교육지원청명유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2업체명3공시차수주소
216서울특별시교육청북부교육지원청bbc01edd-3428-41d0-9a8c-8369c54e1fd5서울마들유치원공립(단설)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 도봉구 마들로 567
217서울특별시교육청북부교육지원청bbc01edd-3428-41d0-9a8c-8369c54e1fd5서울마들유치원공립(단설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 도봉구 마들로 567
218서울특별시교육청북부교육지원청bbc01edd-3428-41d0-9a8c-8369c54e1fd5서울마들유치원공립(단설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 도봉구 마들로 567
219서울특별시교육청북부교육지원청bbc01edd-3428-41d0-9a8c-8369c54e1fd5서울마들유치원공립(단설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 도봉구 마들로 567
220서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 도봉구 노해로 179
221서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)가스배상책임보험YY현대해상화재보험<NA><NA>20232서울특별시 도봉구 노해로 179
222서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)놀이시설 안전보험YY학교배상책임공제<NA><NA>20232서울특별시 도봉구 노해로 179
223서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 도봉구 노해로 179
224서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 도봉구 노해로 179
225서울특별시교육청북부교육지원청c17caf35-438d-4c89-b23f-458335cc0ac0서울숭미초등학교병설유치원공립(병설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 도봉구 노해로 179