Overview

Dataset statistics

Number of variables11
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory91.2 B

Variable types

Categorical6
Text5

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,건축년도,건물층수,건물전용면적,대지총면적,공시차수,주소
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-20627/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:15:31.814096
Analysis finished2024-03-13 11:15:32.755541
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
서울특별시교육청
60 

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 60
100.0%

Length

2024-03-13T20:15:32.810009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:15:32.893248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 60
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
강동송파교육지원청
60 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강동송파교육지원청 60
100.0%

Length

2024-03-13T20:15:32.981897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:15:33.071402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동송파교육지원청 60
100.0%

유치원코드
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T20:15:33.239763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2160
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row009c017d-43bd-4d9f-ac64-d217abdd570e
2nd row04a021da-cdd7-4e7e-a434-2b388c2f6b63
3rd row0f7d2827-8bb2-4a0c-9926-77fca1f60a54
4th row1ecec08c-ed94-b044-e053-0a32095ab044
5th row1ecec08c-eee8-b044-e053-0a32095ab044
ValueCountFrequency (%)
009c017d-43bd-4d9f-ac64-d217abdd570e 1
 
1.7%
04a021da-cdd7-4e7e-a434-2b388c2f6b63 1
 
1.7%
1ecec08d-0a0f-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0381-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0408-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-04b9-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-059a-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-06af-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-06b0-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-079a-b044-e053-0a32095ab044 1
 
1.7%
Other values (50) 50
83.3%
2024-03-13T20:15:33.537042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 348
16.1%
- 240
11.1%
4 238
11.0%
e 177
8.2%
c 151
 
7.0%
a 132
 
6.1%
b 129
 
6.0%
3 124
 
5.7%
5 122
 
5.6%
2 89
 
4.1%
Other values (7) 410
19.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1220
56.5%
Lowercase Letter 700
32.4%
Dash Punctuation 240
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 348
28.5%
4 238
19.5%
3 124
 
10.2%
5 122
 
10.0%
2 89
 
7.3%
8 88
 
7.2%
1 75
 
6.1%
9 71
 
5.8%
7 37
 
3.0%
6 28
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 177
25.3%
c 151
21.6%
a 132
18.9%
b 129
18.4%
d 59
 
8.4%
f 52
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 240
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1460
67.6%
Latin 700
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 348
23.8%
- 240
16.4%
4 238
16.3%
3 124
 
8.5%
5 122
 
8.4%
2 89
 
6.1%
8 88
 
6.0%
1 75
 
5.1%
9 71
 
4.9%
7 37
 
2.5%
Latin
ValueCountFrequency (%)
e 177
25.3%
c 151
21.6%
a 132
18.9%
b 129
18.4%
d 59
 
8.4%
f 52
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 348
16.1%
- 240
11.1%
4 238
11.0%
e 177
8.2%
c 151
 
7.0%
a 132
 
6.1%
b 129
 
6.0%
3 124
 
5.7%
5 122
 
5.6%
2 89
 
4.1%
Other values (7) 410
19.0%

유치원명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T20:15:33.753831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.85
Min length5

Characters and Unicode

Total characters471
Distinct characters102
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

Unique60 ?
Unique (%)100.0%

Sample

1st row서울솔방울유치원
2nd row란키즈유치원
3rd row서울송파위례유치원
4th row꿀벌유치원
5th row서울신천초등학교병설유치원
ValueCountFrequency (%)
서울솔방울유치원 1
 
1.7%
란키즈유치원 1
 
1.7%
서울잠신초등학교병설유치원 1
 
1.7%
불광유치원 1
 
1.7%
리아유치원 1
 
1.7%
서울거여초등학교병설유치원 1
 
1.7%
리틀바움유치원 1
 
1.7%
혜림유치원 1
 
1.7%
푸른꿈유치원 1
 
1.7%
동화나라유치원 1
 
1.7%
Other values (50) 50
83.3%
2024-03-13T20:15:34.073226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 63
 
13.4%
유 61
 
13.0%
치 60
 
12.7%
울 21
 
4.5%
서 20
 
4.2%
초 15
 
3.2%
설 15
 
3.2%
병 15
 
3.2%
교 15
 
3.2%
학 15
 
3.2%
Other values (92) 171
36.3%

설립유형
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
사립(사인)
36 
공립(병설)
15 
공립(단설)
5 
사립(법인)
4 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 36
60.0%
공립(병설) 15
25.0%
공립(단설) 5
 
8.3%
사립(법인) 4
 
6.7%

Length

2024-03-13T20:15:34.268417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:15:34.434717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 36
60.0%
공립(병설 15
25.0%
공립(단설 5
 
8.3%
사립(법인 4
 
6.7%

건축년도
Categorical

Distinct29
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
1985년
6 
1988년
5 
1989년
5 
2008년
4 
1996년
 
3
Other values (24)
37 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique13 ?
Unique (%)21.7%

Sample

1st row1985년
2nd row2010년
3rd row2022년
4th row1998년
5th row1977년

Common Values

ValueCountFrequency (%)
1985년 6
 
10.0%
1988년 5
 
8.3%
1989년 5
 
8.3%
2008년 4
 
6.7%
1996년 3
 
5.0%
1997년 3
 
5.0%
2009년 3
 
5.0%
2010년 2
 
3.3%
2022년 2
 
3.3%
1984년 2
 
3.3%
Other values (19) 25
41.7%

Length

2024-03-13T20:15:34.566217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1985년 6
 
10.0%
1989년 5
 
8.3%
1988년 5
 
8.3%
2008년 4
 
6.7%
1996년 3
 
5.0%
1997년 3
 
5.0%
2009년 3
 
5.0%
2007년 2
 
3.3%
1983년 2
 
3.3%
2013년 2
 
3.3%
Other values (19) 25
41.7%

건물층수
Categorical

Distinct9
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
지상4층/ 지하1층
15 
지상2층/ 지하0층
10 
지상3층/ 지하1층
8 
지상1층/ 지하0층
7 
지상3층/ 지하0층
7 
Other values (4)
13 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)3.3%

Sample

1st row지상3층/ 지하1층
2nd row지상4층/ 지하0층
3rd row지상4층/ 지하1층
4th row지상1층/ 지하0층
5th row지상4층/ 지하1층

Common Values

ValueCountFrequency (%)
지상4층/ 지하1층 15
25.0%
지상2층/ 지하0층 10
16.7%
지상3층/ 지하1층 8
13.3%
지상1층/ 지하0층 7
11.7%
지상3층/ 지하0층 7
11.7%
지상2층/ 지하1층 7
11.7%
지상4층/ 지하0층 4
 
6.7%
지상1층/ 지하1층 1
 
1.7%
지상4층/ 지하2층 1
 
1.7%

Length

2024-03-13T20:15:34.668475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:15:34.770256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하1층 31
25.8%
지하0층 28
23.3%
지상4층 20
16.7%
지상2층 17
14.2%
지상3층 15
12.5%
지상1층 8
 
6.7%
지하2층 1
 
0.8%

건물전용면적
Text

Distinct57
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T20:15:34.978195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.2
Min length4

Characters and Unicode

Total characters252
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)90.0%

Sample

1st row929㎡
2nd row293㎡
3rd row720㎡
4th row383㎡
5th row573㎡
ValueCountFrequency (%)
929㎡ 2
 
3.3%
757㎡ 2
 
3.3%
600㎡ 2
 
3.3%
877㎡ 1
 
1.7%
731㎡ 1
 
1.7%
724㎡ 1
 
1.7%
711㎡ 1
 
1.7%
709㎡ 1
 
1.7%
651㎡ 1
 
1.7%
1333㎡ 1
 
1.7%
Other values (47) 47
78.3%
2024-03-13T20:15:35.313896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 60
23.8%
1 30
11.9%
2 23
 
9.1%
5 23
 
9.1%
6 22
 
8.7%
7 21
 
8.3%
3 19
 
7.5%
9 16
 
6.3%
0 14
 
5.6%
8 13
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
76.2%
Other Symbol 60
 
23.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 30
15.6%
2 23
12.0%
5 23
12.0%
6 22
11.5%
7 21
10.9%
3 19
9.9%
9 16
8.3%
0 14
7.3%
8 13
6.8%
4 11
 
5.7%
Other Symbol
ValueCountFrequency (%)
㎡ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 60
23.8%
1 30
11.9%
2 23
 
9.1%
5 23
 
9.1%
6 22
 
8.7%
7 21
 
8.3%
3 19
 
7.5%
9 16
 
6.3%
0 14
 
5.6%
8 13
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
76.2%
CJK Compat 60
 
23.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 60
100.0%
ASCII
ValueCountFrequency (%)
1 30
15.6%
2 23
12.0%
5 23
12.0%
6 22
11.5%
7 21
10.9%
3 19
9.9%
9 16
8.3%
0 14
7.3%
8 13
6.8%
4 11
 
5.7%

대지총면적
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T20:15:35.520334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.5833333
Min length4

Characters and Unicode

Total characters275
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row1454㎡
2nd row241㎡
3rd row804㎡
4th row283㎡
5th row3613㎡
ValueCountFrequency (%)
1454㎡ 2
 
3.3%
1200㎡ 2
 
3.3%
289㎡ 1
 
1.7%
1600㎡ 1
 
1.7%
398㎡ 1
 
1.7%
12034㎡ 1
 
1.7%
324㎡ 1
 
1.7%
1134㎡ 1
 
1.7%
495㎡ 1
 
1.7%
1062㎡ 1
 
1.7%
Other values (48) 48
80.0%
2024-03-13T20:15:35.847453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 60
21.8%
1 37
13.5%
2 30
10.9%
4 24
 
8.7%
0 21
 
7.6%
3 20
 
7.3%
7 18
 
6.5%
8 18
 
6.5%
5 17
 
6.2%
6 16
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 215
78.2%
Other Symbol 60
 
21.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 37
17.2%
2 30
14.0%
4 24
11.2%
0 21
9.8%
3 20
9.3%
7 18
8.4%
8 18
8.4%
5 17
7.9%
6 16
7.4%
9 14
 
6.5%
Other Symbol
ValueCountFrequency (%)
㎡ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 275
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 60
21.8%
1 37
13.5%
2 30
10.9%
4 24
 
8.7%
0 21
 
7.6%
3 20
 
7.3%
7 18
 
6.5%
8 18
 
6.5%
5 17
 
6.2%
6 16
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 215
78.2%
CJK Compat 60
 
21.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 60
100.0%
ASCII
ValueCountFrequency (%)
1 37
17.2%
2 30
14.0%
4 24
11.2%
0 21
9.8%
3 20
9.3%
7 18
8.4%
8 18
8.4%
5 17
7.9%
6 16
7.4%
9 14
 
6.5%

공시차수
Categorical

Distinct5
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
20231
46 
20201
6 
20181
5 
20211
 
2
20191
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row20231
2nd row20231
3rd row20231
4th row20231
5th row20231

Common Values

ValueCountFrequency (%)
20231 46
76.7%
20201 6
 
10.0%
20181 5
 
8.3%
20211 2
 
3.3%
20191 1
 
1.7%

Length

2024-03-13T20:15:35.974267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:15:36.064685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 46
76.7%
20201 6
 
10.0%
20181 5
 
8.3%
20211 2
 
3.3%
20191 1
 
1.7%

주소
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T20:15:36.281393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.916667
Min length16

Characters and Unicode

Total characters1135
Distinct characters68
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row서울특별시 송파구 오금로24길 25
2nd row서울특별시 송파구 새말로8길 22-5
3rd row서울특별시 송파구 위례송파로 121
4th row서울특별시 송파구 양산로8길 8
5th row서울특별시 송파구 올림픽로 215
ValueCountFrequency (%)
서울특별시 60
25.0%
송파구 60
25.0%
올림픽로 5
 
2.1%
20 3
 
1.2%
양재대로 3
 
1.2%
위례순환로 3
 
1.2%
17 3
 
1.2%
양산로2길 2
 
0.8%
올림픽로4길 2
 
0.8%
32 2
 
0.8%
Other values (87) 97
40.4%
2024-03-13T20:15:36.793473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
15.9%
송 66
 
5.8%
파 66
 
5.8%
서 60
 
5.3%
로 60
 
5.3%
특 60
 
5.3%
별 60
 
5.3%
시 60
 
5.3%
구 60
 
5.3%
울 60
 
5.3%
Other values (58) 403
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
65.7%
Decimal Number 204
 
18.0%
Space Separator 180
 
15.9%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%
Decimal Number
ValueCountFrequency (%)
2 39
19.1%
1 38
18.6%
3 26
12.7%
4 23
11.3%
5 18
8.8%
7 15
 
7.4%
8 14
 
6.9%
6 13
 
6.4%
0 10
 
4.9%
9 8
 
3.9%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 746
65.7%
Common 389
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%
Common
ValueCountFrequency (%)
180
46.3%
2 39
 
10.0%
1 38
 
9.8%
3 26
 
6.7%
4 23
 
5.9%
5 18
 
4.6%
7 15
 
3.9%
8 14
 
3.6%
6 13
 
3.3%
0 10
 
2.6%
Other values (2) 13
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 746
65.7%
ASCII 389
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
46.3%
2 39
 
10.0%
1 38
 
9.8%
3 26
 
6.7%
4 23
 
5.9%
5 18
 
4.6%
7 15
 
3.9%
8 14
 
3.6%
6 13
 
3.3%
0 10
 
2.6%
Other values (2) 13
 
3.3%
Hangul
ValueCountFrequency (%)
송 66
8.8%
파 66
8.8%
서 60
 
8.0%
로 60
 
8.0%
특 60
 
8.0%
별 60
 
8.0%
시 60
 
8.0%
구 60
 
8.0%
울 60
 
8.0%
길 37
 
5.0%
Other values (46) 157
21.0%

Correlations

2024-03-13T20:15:36.892920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.4410.3880.5590.7620.0000.762
건축년도1.0001.0000.4411.0000.0000.9941.0000.0001.000
건물층수1.0001.0000.3880.0001.0000.8510.9030.0000.903
건물전용면적1.0001.0000.5590.9940.8511.0000.9981.0000.998
대지총면적1.0001.0000.7621.0000.9030.9981.0000.9281.000
공시차수1.0001.0000.0000.0000.0001.0000.9281.0000.928
주소1.0001.0000.7621.0000.9030.9981.0000.9281.000
2024-03-13T20:15:36.993022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물층수설립유형공시차수건축년도
건물층수1.0000.2420.0000.000
설립유형0.2421.0000.0000.159
공시차수0.0000.0001.0000.000
건축년도0.0000.1590.0001.000
2024-03-13T20:15:37.075940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형건축년도건물층수공시차수
설립유형1.0000.1590.2420.000
건축년도0.1591.0000.0000.000
건물층수0.2420.0001.0000.000
공시차수0.0000.0000.0001.000

Missing values

2024-03-13T20:15:32.568339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:15:32.702649image/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

교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
0서울특별시교육청강동송파교육지원청009c017d-43bd-4d9f-ac64-d217abdd570e서울솔방울유치원공립(단설)1985년지상3층/ 지하1층929㎡1454㎡20231서울특별시 송파구 오금로24길 25
1서울특별시교육청강동송파교육지원청04a021da-cdd7-4e7e-a434-2b388c2f6b63란키즈유치원사립(사인)2010년지상4층/ 지하0층293㎡241㎡20231서울특별시 송파구 새말로8길 22-5
2서울특별시교육청강동송파교육지원청0f7d2827-8bb2-4a0c-9926-77fca1f60a54서울송파위례유치원공립(단설)2022년지상4층/ 지하1층720㎡804㎡20231서울특별시 송파구 위례송파로 121
3서울특별시교육청강동송파교육지원청1ecec08c-ed94-b044-e053-0a32095ab044꿀벌유치원사립(사인)1998년지상1층/ 지하0층383㎡283㎡20231서울특별시 송파구 양산로8길 8
4서울특별시교육청강동송파교육지원청1ecec08c-eee8-b044-e053-0a32095ab044서울신천초등학교병설유치원공립(병설)1977년지상4층/ 지하1층573㎡3613㎡20231서울특별시 송파구 올림픽로 215
5서울특별시교육청강동송파교육지원청1ecec08c-eeec-b044-e053-0a32095ab044장미유치원사립(법인)1981년지상2층/ 지하0층756㎡756㎡20231서울특별시 송파구 올림픽로35길 118
6서울특별시교육청강동송파교육지원청1ecec08c-f04f-b044-e053-0a32095ab044새움유치원사립(사인)2007년지상4층/ 지하1층426㎡293㎡20181서울특별시 송파구 중대로27길 2
7서울특별시교육청강동송파교육지원청1ecec08c-f209-b044-e053-0a32095ab044우일유치원사립(사인)1995년지상3층/ 지하1층1398㎡40762㎡20231서울특별시 송파구 토성로 38-6
8서울특별시교육청강동송파교육지원청1ecec08c-f20a-b044-e053-0a32095ab044석촌유치원사립(사인)1984년지상3층/ 지하0층914㎡1135㎡20231서울특별시 송파구 백제고분로40길 20
9서울특별시교육청강동송파교육지원청1ecec08c-f28a-b044-e053-0a32095ab044샛별유치원사립(사인)1988년지상4층/ 지하1층349㎡231㎡20181서울특별시 송파구 중대로9길 53-27
교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
50서울특별시교육청강동송파교육지원청1ecec08d-0f6c-b044-e053-0a32095ab044수정유치원사립(사인)1988년지상1층/ 지하1층1151㎡819㎡20231서울특별시 송파구 위례성대로 28
51서울특별시교육청강동송파교육지원청1fd6777e-14fd-e0b0-e053-0a32095ae0b0위례우일유치원사립(사인)2014년지상4층/ 지하2층1132㎡700㎡20231서울특별시 송파구 성내천로47길 38-1
52서울특별시교육청강동송파교육지원청2ab4825b-780b-4443-b195-77d1c3851b7d서울아주초등학교병설유치원공립(병설)2022년지상4층/ 지하0층731㎡2881㎡20231서울특별시 송파구 올림픽로4길 59
53서울특별시교육청강동송파교육지원청4954e1f2-8d93-4db0-a8de-fcabfa4d6a0c서울거원초등학교병설유치원공립(병설)1997년지상1층/ 지하0층600㎡12975㎡20231서울특별시 송파구 양산로2길 26
54서울특별시교육청강동송파교육지원청7f130073-a125-4e1f-ac7a-0d743c58822b서울영풍초등학교병설유치원공립(병설)2017년지상1층/ 지하0층877㎡11274㎡20231서울특별시 송파구 오금로57길 15
55서울특별시교육청강동송파교육지원청7f2f03dd-4d3c-4cbc-bfd3-f88b47041426서울위례솔초등학교병설유치원공립(병설)2023년지상3층/ 지하0층1566㎡728㎡20231서울특별시 송파구 위례북로2길 12
56서울특별시교육청강동송파교육지원청98918a25-18ce-48c6-8188-620954527bc8서울솔가람유치원분원공립(단설)2017년지상2층/ 지하0층709㎡765㎡20231서울특별시 송파구 위례순환로 477
57서울특별시교육청강동송파교육지원청d3a54882-16bb-4eae-9dc2-7a63f3a43215홍익가족유치원사립(사인)2013년지상4층/ 지하1층711㎡280㎡20231서울특별시 송파구 삼학사로19길 20
58서울특별시교육청강동송파교육지원청e1def744-a9f2-4422-8301-d3548bd6074c서울위례별유치원공립(단설)2016년지상4층/ 지하1층2784㎡1600㎡20231서울특별시 송파구 위례순환로 371
59서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)1985년지상4층/ 지하0층550㎡6230㎡20231서울특별시 송파구 백제고분로 400