Overview

Dataset statistics

Number of variables13
Number of observations243
Missing cells478
Missing cells (%)15.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.3 KiB
Average record size in memory106.5 B

Variable types

Categorical8
Boolean2
Text1
Unsupported1
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,가입 보험명,대상여부,가입여부,업체명1,업체명2,업체명3,공시차수,주소
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20874/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 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 235 (96.7%) missing valuesMissing
업체명3 has 243 (100.0%) missing valuesMissing
업체명3 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 14:52:24.719423
Analysis finished2024-03-13 14:52:25.784326
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
서울특별시교육청
243 

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 243
100.0%

Length

2024-03-13T23:52:25.843929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:52:25.939216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 243
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
동작관악교육지원청
243 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동작관악교육지원청 243
100.0%

Length

2024-03-13T23:52:26.027660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:52:26.127502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 243
100.0%

유치원코드
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
1ecec08c-ed2b-b044-e053-0a32095ab044
 
9
373b3d04-4a0f-4da0-bf9c-df6359eb0fdb
 
9
1ecec08c-ef06-b044-e053-0a32095ab044
 
7
1ecec08c-f5f1-b044-e053-0a32095ab044
 
7
1ecec08d-0571-b044-e053-0a32095ab044
 
7
Other values (34)
204 

Length

Max length36
Median length36
Mean length36
Min length36

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1ecec08c-ed2b-b044-e053-0a32095ab044
2nd row1ecec08c-ed2b-b044-e053-0a32095ab044
3rd row1ecec08c-ed2b-b044-e053-0a32095ab044
4th row1ecec08c-ed2b-b044-e053-0a32095ab044
5th row1ecec08c-ed2b-b044-e053-0a32095ab044

Common Values

ValueCountFrequency (%)
1ecec08c-ed2b-b044-e053-0a32095ab044 9
 
3.7%
373b3d04-4a0f-4da0-bf9c-df6359eb0fdb 9
 
3.7%
1ecec08c-ef06-b044-e053-0a32095ab044 7
 
2.9%
1ecec08c-f5f1-b044-e053-0a32095ab044 7
 
2.9%
1ecec08d-0571-b044-e053-0a32095ab044 7
 
2.9%
1ecec08c-f5f2-b044-e053-0a32095ab044 6
 
2.5%
1ecec08c-ef08-b044-e053-0a32095ab044 6
 
2.5%
1ecec08c-efc0-b044-e053-0a32095ab044 6
 
2.5%
1ecec08c-f124-b044-e053-0a32095ab044 6
 
2.5%
1ecec08c-f1ae-b044-e053-0a32095ab044 6
 
2.5%
Other values (29) 174
71.6%

Length

2024-03-13T23:52:26.243870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1ecec08c-ed2b-b044-e053-0a32095ab044 9
 
3.7%
373b3d04-4a0f-4da0-bf9c-df6359eb0fdb 9
 
3.7%
1ecec08c-ef06-b044-e053-0a32095ab044 7
 
2.9%
1ecec08c-f5f1-b044-e053-0a32095ab044 7
 
2.9%
1ecec08d-0571-b044-e053-0a32095ab044 7
 
2.9%
1ecec08d-0d6b-b044-e053-0a32095ab044 6
 
2.5%
83817fd0-0833-41c3-9e8f-e368a1545128 6
 
2.5%
4358d8db-7469-48f9-857c-02dbc2fca508 6
 
2.5%
888935f2-ff3d-497c-8cc4-96351b70533c 6
 
2.5%
1ecec08d-0f6e-b044-e053-0a32095ab044 6
 
2.5%
Other values (29) 174
71.6%

유치원명
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
한별유치원
 
9
서울청림유치원
 
9
동원유치원
 
7
종인유치원
 
7
애동유치원
 
7
Other values (34)
204 

Length

Max length13
Median length7
Mean length7.691358
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한별유치원 9
 
3.7%
서울청림유치원 9
 
3.7%
동원유치원 7
 
2.9%
종인유치원 7
 
2.9%
애동유치원 7
 
2.9%
하늘유치원 6
 
2.5%
서울관악초등학교병설유치원 6
 
2.5%
서울은천초등학교병설유치원 6
 
2.5%
서울신성초등학교병설유치원 6
 
2.5%
큰솔유치원 6
 
2.5%
Other values (29) 174
71.6%

Length

2024-03-13T23:52:26.360365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한별유치원 9
 
3.7%
서울청림유치원 9
 
3.7%
동원유치원 7
 
2.9%
종인유치원 7
 
2.9%
애동유치원 7
 
2.9%
서울원당초등학교병설유치원 6
 
2.5%
서울남현유치원 6
 
2.5%
서울구암유치원 6
 
2.5%
서울신봉초등학교병설유치원 6
 
2.5%
서울삼성초등학교병설유치원 6
 
2.5%
Other values (29) 174
71.6%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
사립(사인)
126 
공립(병설)
72 
공립(단설)
27 
사립(법인)
18 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사립(사인)
2nd row사립(사인)
3rd row사립(사인)
4th row사립(사인)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 126
51.9%
공립(병설) 72
29.6%
공립(단설) 27
 
11.1%
사립(법인) 18
 
7.4%

Length

2024-03-13T23:52:26.508885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:52:26.623870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 126
51.9%
공립(병설 72
29.6%
공립(단설 27
 
11.1%
사립(법인 18
 
7.4%

가입 보험명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
놀이시설 안전보험
39 
화재보험
39 
통학버스 책임보험
39 
영유아생명신체피해(상해보험)
39 
통학버스 종합보험
39 
Other values (10)
48 

Length

Max length15
Median length10
Mean length8.8971193
Min length3

Unique

Unique9 ?
Unique (%)3.7%

Sample

1st row기타1
2nd row기타2
3rd row기타3
4th row놀이시설 안전보험
5th row화재보험

Common Values

ValueCountFrequency (%)
놀이시설 안전보험 39
16.0%
화재보험 39
16.0%
통학버스 책임보험 39
16.0%
영유아생명신체피해(상해보험) 39
16.0%
통학버스 종합보험 39
16.0%
가스배상책임보험 39
16.0%
기타1 1
 
0.4%
기타2 1
 
0.4%
기타3 1
 
0.4%
교육기관 종합보험 1
 
0.4%
Other values (5) 5
 
2.1%

Length

2024-03-13T23:52:26.751036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
통학버스 78
21.5%
종합보험 40
11.0%
안전보험 40
11.0%
놀이시설 39
10.7%
화재보험 39
10.7%
책임보험 39
10.7%
영유아생명신체피해(상해보험 39
10.7%
가스배상책임보험 39
10.7%
통학버스종합보험 1
 
0.3%
덤웨이터(승강기 1
 
0.3%
Other values (8) 8
 
2.2%

대상여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size375.0 B
True
202 
False
41 
ValueCountFrequency (%)
True 202
83.1%
False 41
 
16.9%
2024-03-13T23:52:26.860568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

가입여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size375.0 B
True
199 
False
44 
ValueCountFrequency (%)
True 199
81.9%
False 44
 
18.1%
2024-03-13T23:52:26.938550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

업체명1
Categorical

HIGH CORRELATION 

Distinct44
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
학교안전공제회
46 
<NA>
44 
한국교육시설안전원
27 
DB손해보험
18 
현대해상화재보험
18 
Other values (39)
90 

Length

Max length19
Median length15
Mean length6.6090535
Min length2

Unique

Unique19 ?
Unique (%)7.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th rowKB손해보험
5th rowDB손해보험

Common Values

ValueCountFrequency (%)
학교안전공제회 46
18.9%
<NA> 44
18.1%
한국교육시설안전원 27
11.1%
DB손해보험 18
 
7.4%
현대해상화재보험 18
 
7.4%
삼성화재 11
 
4.5%
현대해상 8
 
3.3%
KB손해보험 6
 
2.5%
현대해상화재 5
 
2.1%
KB 5
 
2.1%
Other values (34) 55
22.6%

Length

2024-03-13T23:52:27.048846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
학교안전공제회 46
18.8%
na 44
18.0%
한국교육시설안전원 27
11.0%
현대해상화재보험 19
 
7.8%
db손해보험 18
 
7.3%
삼성화재 11
 
4.5%
현대해상 8
 
3.3%
kb손해보험 7
 
2.9%
kb 5
 
2.0%
현대해상화재 5
 
2.0%
Other values (33) 55
22.4%

업체명2
Text

MISSING 

Distinct6
Distinct (%)75.0%
Missing235
Missing (%)96.7%
Memory size2.0 KiB
2024-03-13T23:52:27.195554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7.5
Mean length7.125
Min length4

Characters and Unicode

Total characters57
Distinct characters23
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

Unique4 ?
Unique (%)50.0%

Sample

1st rowDB손해보험
2nd rowDB손해보험자동차보험
3rd rowDB손해보험자동차보험
4th row현대해상
5th row현대해상
ValueCountFrequency (%)
db손해보험자동차보험 2
25.0%
현대해상 2
25.0%
db손해보험 1
12.5%
현대해상화재보험 1
12.5%
롯데손해보험 1
12.5%
학교안전공제회 1
12.5%
2024-03-13T23:52:27.474241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
해 7
12.3%
보 7
12.3%
험 7
12.3%
손 4
 
7.0%
D 3
 
5.3%
현 3
 
5.3%
B 3
 
5.3%
대 3
 
5.3%
상 3
 
5.3%
차 2
 
3.5%
Other values (13) 15
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51
89.5%
Uppercase Letter 6
 
10.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 7
13.7%
보 7
13.7%
험 7
13.7%
손 4
 
7.8%
현 3
 
5.9%
대 3
 
5.9%
상 3
 
5.9%
차 2
 
3.9%
동 2
 
3.9%
자 2
 
3.9%
Other values (11) 11
21.6%
Uppercase Letter
ValueCountFrequency (%)
D 3
50.0%
B 3
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51
89.5%
Latin 6
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 7
13.7%
보 7
13.7%
험 7
13.7%
손 4
 
7.8%
현 3
 
5.9%
대 3
 
5.9%
상 3
 
5.9%
차 2
 
3.9%
동 2
 
3.9%
자 2
 
3.9%
Other values (11) 11
21.6%
Latin
ValueCountFrequency (%)
D 3
50.0%
B 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51
89.5%
ASCII 6
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
해 7
13.7%
보 7
13.7%
험 7
13.7%
손 4
 
7.8%
현 3
 
5.9%
대 3
 
5.9%
상 3
 
5.9%
차 2
 
3.9%
동 2
 
3.9%
자 2
 
3.9%
Other values (11) 11
21.6%
ASCII
ValueCountFrequency (%)
D 3
50.0%
B 3
50.0%

업체명3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing243
Missing (%)100.0%
Memory size2.3 KiB

공시차수
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.008
Minimum20182
Maximum20232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-03-13T23:52:27.573180image/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 deviation17.082443
Coefficient of variation (CV)0.00084470335
Kurtosis0.65300826
Mean20223.008
Median Absolute Deviation (MAD)0
Skewness-1.5361862
Sum4914191
Variance291.80985
MonotonicityNot monotonic
2024-03-13T23:52:27.673754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20232 186
76.5%
20182 19
 
7.8%
20192 18
 
7.4%
20202 8
 
3.3%
20212 7
 
2.9%
20201 4
 
1.6%
20221 1
 
0.4%
ValueCountFrequency (%)
20182 19
 
7.8%
20192 18
 
7.4%
20201 4
 
1.6%
20202 8
 
3.3%
20212 7
 
2.9%
20221 1
 
0.4%
20232 186
76.5%
ValueCountFrequency (%)
20232 186
76.5%
20221 1
 
0.4%
20212 7
 
2.9%
20202 8
 
3.3%
20201 4
 
1.6%
20192 18
 
7.4%
20182 19
 
7.8%

주소
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
서울특별시 관악구 청림5길 22
 
15
서울특별시 관악구 은천로 93
 
12
서울특별시 관악구 남부순환로144길 65
 
9
서울특별시 관악구 행운1길 96
 
7
서울특별시 관악구 솔밭로 20
 
7
Other values (32)
193 

Length

Max length22
Median length20
Mean length17.925926
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 관악구 남부순환로144길 65
2nd row서울특별시 관악구 남부순환로144길 65
3rd row서울특별시 관악구 남부순환로144길 65
4th row서울특별시 관악구 남부순환로144길 65
5th row서울특별시 관악구 남부순환로144길 65

Common Values

ValueCountFrequency (%)
서울특별시 관악구 청림5길 22 15
 
6.2%
서울특별시 관악구 은천로 93 12
 
4.9%
서울특별시 관악구 남부순환로144길 65 9
 
3.7%
서울특별시 관악구 행운1길 96 7
 
2.9%
서울특별시 관악구 솔밭로 20 7
 
2.9%
서울특별시 관악구 법원단지길 56 7
 
2.9%
서울특별시 관악구 양산길 18 6
 
2.5%
서울특별시 관악구 난곡로 42 6
 
2.5%
서울특별시 관악구 봉천로33길 57 6
 
2.5%
서울특별시 관악구 관악로37길 20 6
 
2.5%
Other values (27) 162
66.7%

Length

2024-03-13T23:52:27.783701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 243
25.0%
관악구 243
25.0%
은천로 18
 
1.9%
12 18
 
1.9%
청림5길 15
 
1.5%
22 15
 
1.5%
20 13
 
1.3%
114 12
 
1.2%
93 12
 
1.2%
65 9
 
0.9%
Other values (61) 374
38.5%

Interactions

2024-03-13T23:52:25.433412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T23:52:27.868910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2공시차수주소
유치원코드1.0001.0001.0000.0000.2380.2610.9161.0000.9431.000
유치원명1.0001.0001.0000.0000.2380.2610.9161.0000.9431.000
설립유형1.0001.0001.0000.0000.5140.4940.8001.0000.4250.988
가입 보험명0.0000.0000.0001.0000.5160.5520.8790.3370.8210.000
대상여부0.2380.2380.5140.5161.0000.9910.000NaN0.0860.211
가입여부0.2610.2610.4940.5520.9911.000NaNNaN0.1710.239
업체명10.9160.9160.8000.8790.000NaN1.0000.8400.6780.908
업체명21.0001.0001.0000.337NaNNaN0.8401.0001.0001.000
공시차수0.9430.9430.4250.8210.0860.1710.6781.0001.0000.945
주소1.0001.0000.9880.0000.2110.2390.9081.0000.9451.000
2024-03-13T23:52:28.009433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주소대상여부가입여부설립유형가입 보험명유치원명업체명1유치원코드
주소1.0000.1630.1850.8730.0000.9950.3810.995
대상여부0.1631.0000.9150.3480.4600.1820.0000.182
가입여부0.1850.9151.0000.3330.4930.2001.0000.200
설립유형0.8730.3480.3331.0000.0000.9240.4860.924
가입 보험명0.0000.4600.4930.0001.0000.0000.4690.000
유치원명0.9950.1820.2000.9240.0001.0000.3921.000
업체명10.3810.0001.0000.4860.4690.3921.0000.392
유치원코드0.9950.1820.2000.9240.0001.0000.3921.000
2024-03-13T23:52:28.126806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1주소
공시차수1.0000.7600.7600.3850.5320.0950.2180.4220.705
유치원코드0.7601.0001.0000.9240.0000.1820.2000.3920.995
유치원명0.7601.0001.0000.9240.0000.1820.2000.3920.995
설립유형0.3850.9240.9241.0000.0000.3480.3330.4860.873
가입 보험명0.5320.0000.0000.0001.0000.4600.4930.4690.000
대상여부0.0950.1820.1820.3480.4601.0000.9150.0000.163
가입여부0.2180.2000.2000.3330.4930.9151.0001.0000.185
업체명10.4220.3920.3920.4860.4690.0001.0001.0000.381
주소0.7050.9950.9950.8730.0000.1630.1850.3811.000

Missing values

2024-03-13T23:52:25.546459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T23:52:25.707993image/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

교육청명교육지원청명유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2업체명3공시차수주소
0서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)기타1YN<NA><NA><NA>20201서울특별시 관악구 남부순환로144길 65
1서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)기타2YN<NA><NA><NA>20201서울특별시 관악구 남부순환로144길 65
2서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)기타3YN<NA><NA><NA>20201서울특별시 관악구 남부순환로144길 65
3서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)놀이시설 안전보험YYKB손해보험<NA><NA>20232서울특별시 관악구 남부순환로144길 65
4서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)화재보험YYDB손해보험<NA><NA>20232서울특별시 관악구 남부순환로144길 65
5서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)통학버스 책임보험YYDB손해보험<NA><NA>20232서울특별시 관악구 남부순환로144길 65
6서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 관악구 남부순환로144길 65
7서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)통학버스 종합보험YYDB손해보험<NA><NA>20232서울특별시 관악구 남부순환로144길 65
8서울특별시교육청동작관악교육지원청1ecec08c-ed2b-b044-e053-0a32095ab044한별유치원사립(사인)가스배상책임보험YYDB손해보험<NA><NA>20232서울특별시 관악구 남부순환로144길 65
9서울특별시교육청동작관악교육지원청1ecec08c-ef06-b044-e053-0a32095ab044동원유치원사립(사인)통학버스 종합보험YYkb손해보험<NA><NA>20232서울특별시 관악구 행운1길 96
교육청명교육지원청명유치원코드유치원명설립유형가입 보험명대상여부가입여부업체명1업체명2업체명3공시차수주소
233서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 관악구 남부순환로163길 14
234서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 관악구 남부순환로163길 14
235서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 관악구 남부순환로163길 14
236서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 관악구 남부순환로163길 14
237서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)가스배상책임보험YY삼성화재보험<NA><NA>20232서울특별시 관악구 문성로28길 31
238서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)놀이시설 안전보험YY학교안전공제회<NA><NA>20232서울특별시 관악구 문성로28길 31
239서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)영유아생명신체피해(상해보험)YY학교안전공제회<NA><NA>20232서울특별시 관악구 문성로28길 31
240서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)통학버스 종합보험NN<NA><NA><NA>20232서울특별시 관악구 문성로28길 31
241서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)통학버스 책임보험NN<NA><NA><NA>20232서울특별시 관악구 문성로28길 31
242서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)화재보험YY한국교육시설안전원<NA><NA>20232서울특별시 관악구 문성로28길 31