Overview

Dataset statistics

Number of variables13
Number of observations201
Missing cells387
Missing cells (%)14.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.7 KiB
Average record size in memory105.7 B

Variable types

Categorical8
Boolean2
Text2
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,가입 보험명,대상여부,가입여부,업체명1,업체명2,업체명3,공시차수,주소
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-20857/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 가입여부 and 1 other fieldsHigh 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 대상여부 and 1 other fieldsHigh 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 187 (93.0%) missing valuesMissing
업체명3 has 200 (99.5%) missing valuesMissing

Reproduction

Analysis started2024-03-13 17:40:59.212176
Analysis finished2024-03-13 17:41:00.397232
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
서울특별시교육청
201 

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 201
100.0%

Length

2024-03-14T02:41:00.442389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:41:00.510434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 201
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
성동광진교육지원청
201 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동광진교육지원청 201
100.0%

Length

2024-03-14T02:41:00.588156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:41:00.662961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 201
100.0%

유치원코드
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1ecec08c-f424-b044-e053-0a32095ab044
 
11
1ecec08d-0f50-b044-e053-0a32095ab044
 
7
1ecec08d-0e4c-b044-e053-0a32095ab044
 
7
f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b
 
7
1ecec08c-ed19-b044-e053-0a32095ab044
 
7
Other values (27)
162 

Length

Max length36
Median length36
Mean length36
Min length36

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1ecec08c-ed19-b044-e053-0a32095ab044
2nd row1ecec08c-ed19-b044-e053-0a32095ab044
3rd row1ecec08c-ed19-b044-e053-0a32095ab044
4th row1ecec08c-ed19-b044-e053-0a32095ab044
5th row1ecec08c-ed19-b044-e053-0a32095ab044

Common Values

ValueCountFrequency (%)
1ecec08c-f424-b044-e053-0a32095ab044 11
 
5.5%
1ecec08d-0f50-b044-e053-0a32095ab044 7
 
3.5%
1ecec08d-0e4c-b044-e053-0a32095ab044 7
 
3.5%
f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b 7
 
3.5%
1ecec08c-ed19-b044-e053-0a32095ab044 7
 
3.5%
1ecec08d-04f3-b044-e053-0a32095ab044 6
 
3.0%
1ecec08d-08e1-b044-e053-0a32095ab044 6
 
3.0%
1ecec08c-f8d0-b044-e053-0a32095ab044 6
 
3.0%
1ecec08d-0725-b044-e053-0a32095ab044 6
 
3.0%
1ecec08d-0676-b044-e053-0a32095ab044 6
 
3.0%
Other values (22) 132
65.7%

Length

2024-03-14T02:41:00.737286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1ecec08c-f424-b044-e053-0a32095ab044 11
 
5.5%
1ecec08d-0e4c-b044-e053-0a32095ab044 7
 
3.5%
f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b 7
 
3.5%
1ecec08c-ed19-b044-e053-0a32095ab044 7
 
3.5%
1ecec08d-0f50-b044-e053-0a32095ab044 7
 
3.5%
1ecec08d-0f39-b044-e053-0a32095ab044 6
 
3.0%
1ecec08d-0e4b-b044-e053-0a32095ab044 6
 
3.0%
1ecec08c-f526-b044-e053-0a32095ab044 6
 
3.0%
1ecec08d-0e81-b044-e053-0a32095ab044 6
 
3.0%
1ecec08d-0f38-b044-e053-0a32095ab044 6
 
3.0%
Other values (22) 132
65.7%

유치원명
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
아이들세상유치원
 
11
로사유치원
 
7
조은유치원
 
7
서울무학초등학교병설유치원
 
7
서울마장초등학교병설유치원
 
7
Other values (27)
162 

Length

Max length13
Median length12
Mean length8.7064677
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
아이들세상유치원 11
 
5.5%
로사유치원 7
 
3.5%
조은유치원 7
 
3.5%
서울무학초등학교병설유치원 7
 
3.5%
서울마장초등학교병설유치원 7
 
3.5%
무학유치원 6
 
3.0%
솔유치원 6
 
3.0%
성심유치원 6
 
3.0%
서울경수초등학교병설유치원 6
 
3.0%
한양여자대학교부속유치원 6
 
3.0%
Other values (22) 132
65.7%

Length

2024-03-14T02:41:00.820810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
아이들세상유치원 11
 
5.5%
조은유치원 7
 
3.5%
서울무학초등학교병설유치원 7
 
3.5%
서울마장초등학교병설유치원 7
 
3.5%
로사유치원 7
 
3.5%
서울옥정초등학교병설유치원 6
 
3.0%
옥수예일유치원 6
 
3.0%
송곡유치원 6
 
3.0%
서울숭신초등학교병설유치원 6
 
3.0%
서울사근초등학교병설유치원 6
 
3.0%
Other values (22) 132
65.7%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
사립(사인)
84 
공립(병설)
80 
사립(법인)
31 
공립(단설)
 
6

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) 84
41.8%
공립(병설) 80
39.8%
사립(법인) 31
 
15.4%
공립(단설) 6
 
3.0%

Length

2024-03-14T02:41:00.900570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:41:00.979575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 84
41.8%
공립(병설 80
39.8%
사립(법인 31
 
15.4%
공립(단설 6
 
3.0%

가입 보험명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
놀이시설 안전보험
32 
영유아생명신체피해(상해보험)
32 
통학버스 종합보험
32 
가스배상책임보험
32 
통학버스 책임보험
32 
Other values (9)
41 

Length

Max length15
Median length12
Mean length8.9950249
Min length4

Unique

Unique7 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
놀이시설 안전보험 32
15.9%
영유아생명신체피해(상해보험) 32
15.9%
통학버스 종합보험 32
15.9%
가스배상책임보험 32
15.9%
통학버스 책임보험 32
15.9%
화재보험 32
15.9%
통학버스종합보험 2
 
1.0%
학교배상책임공제 1
 
0.5%
생산물배상책임보험 1
 
0.5%
생산물배상책입보험 1
 
0.5%
Other values (4) 4
 
2.0%

Length

2024-03-14T02:41:01.070938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통학버스 64
21.5%
놀이시설 32
10.7%
안전보험 32
10.7%
영유아생명신체피해(상해보험 32
10.7%
종합보험 32
10.7%
가스배상책임보험 32
10.7%
책임보험 32
10.7%
화재보험 32
10.7%
통학버스종합보험 2
 
0.7%
학교배상책임공제 1
 
0.3%
Other values (7) 7
 
2.3%

대상여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
162 
False
39 
ValueCountFrequency (%)
True 162
80.6%
False 39
 
19.4%
2024-03-14T02:41:01.154914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가입여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size333.0 B
True
162 
False
39 
ValueCountFrequency (%)
True 162
80.6%
False 39
 
19.4%
2024-03-14T02:41:01.224831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

업체명1
Categorical

HIGH CORRELATION 

Distinct40
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
39 
학교안전공제회
38 
한국교육시설안전원
24 
삼성화재
12 
DB손해보험
9 
Other values (35)
79 

Length

Max length20
Median length16
Mean length7.1542289
Min length2

Unique

Unique16 ?
Unique (%)8.0%

Sample

1st row학교배상책임공제회에 포함
2nd row학교안전공제회
3rd row<NA>
4th row학교배상책임공제회에 포함
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
19.4%
학교안전공제회 38
18.9%
한국교육시설안전원 24
11.9%
삼성화재 12
 
6.0%
DB손해보험 9
 
4.5%
현대해상 8
 
4.0%
KB손해보험 7
 
3.5%
현대해상화재보험 6
 
3.0%
전국전세버스운송사업조합연합회공제조합 4
 
2.0%
현대해상보험 4
 
2.0%
Other values (30) 50
24.9%

Length

2024-03-14T02:41:01.322177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 39
18.8%
학교안전공제회 38
18.3%
한국교육시설안전원 24
11.5%
삼성화재 12
 
5.8%
db손해보험 9
 
4.3%
현대해상 8
 
3.8%
kb손해보험 7
 
3.4%
현대해상화재보험 6
 
2.9%
한국교육안전공제회 4
 
1.9%
학교안전공제중앙회 4
 
1.9%
Other values (33) 57
27.4%

업체명2
Text

MISSING 

Distinct9
Distinct (%)64.3%
Missing187
Missing (%)93.0%
Memory size1.7 KiB
2024-03-14T02:41:01.447881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.3571429
Min length4

Characters and Unicode

Total characters89
Distinct characters32
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

Unique5 ?
Unique (%)35.7%

Sample

1st rowDB손해보험
2nd row현대해상
3rd row삼성화재
4th row학교안전공제중앙회
5th row현대해상
ValueCountFrequency (%)
삼성화재 3
21.4%
현대해상 2
14.3%
현대해상화재보험 2
14.3%
전국전세버스공제조합 2
14.3%
db손해보험 1
 
7.1%
학교안전공제중앙회 1
 
7.1%
롯데손해보험 1
 
7.1%
kb손해보험 1
 
7.1%
한화손해보험 1
 
7.1%
2024-03-14T02:41:01.682320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
해 8
 
9.0%
화 6
 
6.7%
보 6
 
6.7%
험 6
 
6.7%
재 5
 
5.6%
전 5
 
5.6%
현 4
 
4.5%
대 4
 
4.5%
상 4
 
4.5%
손 4
 
4.5%
Other values (22) 37
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85
95.5%
Uppercase Letter 4
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 8
 
9.4%
화 6
 
7.1%
보 6
 
7.1%
험 6
 
7.1%
재 5
 
5.9%
전 5
 
5.9%
현 4
 
4.7%
대 4
 
4.7%
상 4
 
4.7%
손 4
 
4.7%
Other values (19) 33
38.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
K 1
25.0%
D 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85
95.5%
Latin 4
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 8
 
9.4%
화 6
 
7.1%
보 6
 
7.1%
험 6
 
7.1%
재 5
 
5.9%
전 5
 
5.9%
현 4
 
4.7%
대 4
 
4.7%
상 4
 
4.7%
손 4
 
4.7%
Other values (19) 33
38.8%
Latin
ValueCountFrequency (%)
B 2
50.0%
K 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85
95.5%
ASCII 4
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
해 8
 
9.4%
화 6
 
7.1%
보 6
 
7.1%
험 6
 
7.1%
재 5
 
5.9%
전 5
 
5.9%
현 4
 
4.7%
대 4
 
4.7%
상 4
 
4.7%
손 4
 
4.7%
Other values (19) 33
38.8%
ASCII
ValueCountFrequency (%)
B 2
50.0%
K 1
25.0%
D 1
25.0%

업체명3
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing200
Missing (%)99.5%
Memory size1.7 KiB
2024-03-14T02:41:01.788669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st rowDB손해보험
ValueCountFrequency (%)
db손해보험 1
100.0%
2024-03-14T02:41:01.997680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 1
16.7%
B 1
16.7%
손 1
16.7%
해 1
16.7%
보 1
16.7%
험 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
66.7%
Uppercase Letter 2
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
손 1
25.0%
해 1
25.0%
보 1
25.0%
험 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
66.7%
Latin 2
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
손 1
25.0%
해 1
25.0%
보 1
25.0%
험 1
25.0%
Latin
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
66.7%
ASCII 2
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%
Hangul
ValueCountFrequency (%)
손 1
25.0%
해 1
25.0%
보 1
25.0%
험 1
25.0%

공시차수
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20226.174
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2024-03-14T02:41:02.080451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20182
5-th percentile20192
Q120232
median20232
Q320232
95-th percentile20232
Maximum20232
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.127793
Coefficient of variation (CV)0.00069849061
Kurtosis3.1788345
Mean20226.174
Median Absolute Deviation (MAD)0
Skewness-2.1900592
Sum4065461
Variance199.59453
MonotonicityNot monotonic
2024-03-14T02:41:02.161593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20232 169
84.1%
20192 14
 
7.0%
20182 7
 
3.5%
20202 6
 
3.0%
20222 2
 
1.0%
20212 2
 
1.0%
20211 1
 
0.5%
ValueCountFrequency (%)
20182 7
 
3.5%
20192 14
 
7.0%
20202 6
 
3.0%
20211 1
 
0.5%
20212 2
 
1.0%
20222 2
 
1.0%
20232 169
84.1%
ValueCountFrequency (%)
20232 169
84.1%
20222 2
 
1.0%
20212 2
 
1.0%
20211 1
 
0.5%
20202 6
 
3.0%
20192 14
 
7.0%
20182 7
 
3.5%

주소
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
서울특별시 성동구 독서당로 272
 
11
서울특별시 성동구 성덕정길 23
 
7
서울특별시 성동구 살곶이길 50
 
7
서울특별시 성동구 무학봉15길 21
 
7
서울특별시 성동구 마장로35나길 31
 
7
Other values (27)
162 

Length

Max length20
Median length19
Mean length18.034826
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 성동구 마장로35나길 31
2nd row서울특별시 성동구 마장로35나길 31
3rd row서울특별시 성동구 마장로35나길 31
4th row서울특별시 성동구 마장로35나길 31
5th row서울특별시 성동구 마장로35나길 31

Common Values

ValueCountFrequency (%)
서울특별시 성동구 독서당로 272 11
 
5.5%
서울특별시 성동구 성덕정길 23 7
 
3.5%
서울특별시 성동구 살곶이길 50 7
 
3.5%
서울특별시 성동구 무학봉15길 21 7
 
3.5%
서울특별시 성동구 마장로35나길 31 7
 
3.5%
서울특별시 성동구 무학봉15가길 4 6
 
3.0%
서울특별시 성동구 무학로 50 6
 
3.0%
서울특별시 성동구 무학로10길 21 6
 
3.0%
서울특별시 성동구 뚝섬로13길 22 6
 
3.0%
서울특별시 성동구 살곶이길 200 6
 
3.0%
Other values (22) 132
65.7%

Length

2024-03-14T02:41:02.284790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 201
25.0%
성동구 201
25.0%
독서당로 29
 
3.6%
21 25
 
3.1%
살곶이길 13
 
1.6%
50 13
 
1.6%
35 12
 
1.5%
272 11
 
1.4%
마장로35나길 7
 
0.9%
31 7
 
0.9%
Other values (47) 285
35.4%

Interactions

2024-03-14T02:40:59.766901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T02:41:02.377558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2공시차수주소
유치원코드1.0001.0001.0000.0000.0000.0000.8380.8900.9011.000
유치원명1.0001.0001.0000.0000.0000.0000.8380.8900.9011.000
설립유형1.0001.0001.0000.0000.3950.3920.7550.9760.3301.000
가입 보험명0.0000.0000.0001.0000.5210.5010.8330.6380.8810.000
대상여부0.0000.0000.3950.5211.0000.9920.759NaN0.1030.000
가입여부0.0000.0000.3920.5010.9921.000NaNNaN0.0540.000
업체명10.8380.8380.7550.8330.759NaN1.0000.9290.8030.838
업체명20.8900.8900.9760.638NaNNaN0.9291.000NaN0.890
공시차수0.9010.9010.3300.8810.1030.0540.803NaN1.0000.901
주소1.0001.0001.0000.0000.0000.0000.8380.8900.9011.000
2024-03-14T02:41:02.484160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주소대상여부가입여부설립유형가입 보험명유치원명업체명1유치원코드
주소1.0000.0000.0000.9260.0001.0000.3021.000
대상여부0.0001.0000.9200.2630.3970.0000.5760.000
가입여부0.0000.9201.0000.2610.3810.0001.0000.000
설립유형0.9260.2630.2611.0000.0000.9260.4340.926
가입 보험명0.0000.3970.3810.0001.0000.0000.3790.000
유치원명1.0000.0000.0000.9260.0001.0000.3021.000
업체명10.3020.5761.0000.4340.3790.3021.0000.302
유치원코드1.0000.0000.0000.9260.0001.0000.3021.000
2024-03-14T02:41:02.571644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1주소
공시차수1.0000.6860.6860.2920.6150.1030.0920.4810.686
유치원코드0.6861.0001.0000.9260.0000.0000.0000.3021.000
유치원명0.6861.0001.0000.9260.0000.0000.0000.3021.000
설립유형0.2920.9260.9261.0000.0000.2630.2610.4340.926
가입 보험명0.6150.0000.0000.0001.0000.3970.3810.3790.000
대상여부0.1030.0000.0000.2630.3971.0000.9200.5760.000
가입여부0.0920.0000.0000.2610.3810.9201.0001.0000.000
업체명10.4810.3020.3020.4340.3790.5761.0001.0000.302
주소0.6861.0001.0000.9260.0000.0000.0000.3021.000

Missing values

2024-03-14T02:40:59.864532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T02:41:00.271477image/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.
2024-03-14T02:41:00.356676image/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
0서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)놀이시설 안전보험YY학교배상책임공제회에 포함<NA><NA>20232서울특별시 성동구 마장로35나길 31
1서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 성동구 마장로35나길 31
2서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 성동구 마장로35나길 31
3서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)가스배상책임보험YY학교배상책임공제회에 포함<NA><NA>20232서울특별시 성동구 마장로35나길 31
4서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 성동구 마장로35나길 31
5서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)학교배상책임공제YY학교안전공제중앙회<NA><NA>20232서울특별시 성동구 마장로35나길 31
6서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 성동구 마장로35나길 31
7서울특별시교육청성동광진교육지원청1ecec08c-f424-b044-e053-0a32095ab044아이들세상유치원사립(사인)가스배상책임보험YYDB손해보험<NA><NA>20232서울특별시 성동구 독서당로 272
8서울특별시교육청성동광진교육지원청1ecec08c-f424-b044-e053-0a32095ab044아이들세상유치원사립(사인)놀이시설 안전보험NN<NA><NA><NA>20232서울특별시 성동구 독서당로 272
9서울특별시교육청성동광진교육지원청1ecec08c-f424-b044-e053-0a32095ab044아이들세상유치원사립(사인)생산물배상책임보험YYDB손해보험<NA><NA>20222서울특별시 성동구 독서당로 272
교육청명교육지원청명유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2업체명3공시차수주소
191서울특별시교육청성동광진교육지원청c86bfe33-312b-465b-ae84-67bdc4e80ab3서울경일초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 성동구 뚝섬로 332
192서울특별시교육청성동광진교육지원청c86bfe33-312b-465b-ae84-67bdc4e80ab3서울경일초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 성동구 뚝섬로 332
193서울특별시교육청성동광진교육지원청c86bfe33-312b-465b-ae84-67bdc4e80ab3서울경일초등학교병설유치원공립(병설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 성동구 뚝섬로 332
194서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)가스배상책임보험YY삼성화재<NA><NA>20232서울특별시 성동구 무학봉15길 21
195서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)놀이시설 안전보험YY한국교육시설안전원<NA><NA>20232서울특별시 성동구 무학봉15길 21
196서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 성동구 무학봉15길 21
197서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 성동구 무학봉15길 21
198서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)학교승강기 배상책임공제YY학교승강기 배상책임공제<NA><NA>20211서울특별시 성동구 무학봉15길 21
199서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 성동구 무학봉15길 21
200서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 성동구 무학봉15길 21