Overview

Dataset statistics

Number of variables11
Number of observations77
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory90.7 B

Variable types

Categorical6
Text5

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,건축년도,건물층수,건물전용면적,대지총면적,공시차수,주소
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-20614/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 14:34:29.077032
Analysis finished2024-03-13 14:34:30.002432
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
서울특별시교육청
77 

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 77
100.0%

Length

2024-03-13T23:34:30.051769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:34:30.129500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 77
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
북부교육지원청
77 

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 77
100.0%

Length

2024-03-13T23:34:30.213080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:34:30.296765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부교육지원청 77
100.0%

유치원코드
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:34:30.467130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2772
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

Unique77 ?
Unique (%)100.0%

Sample

1st row0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3
2nd row1ecec08c-ed86-b044-e053-0a32095ab044
3rd row1ecec08c-ed88-b044-e053-0a32095ab044
4th row1ecec08c-eed1-b044-e053-0a32095ab044
5th row1ecec08c-ef26-b044-e053-0a32095ab044
ValueCountFrequency (%)
0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3 1
 
1.3%
1ecec08d-0151-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0bb4-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0b2d-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0b2c-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09d0-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09c4-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09c3-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-09c2-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-08f6-b044-e053-0a32095ab044 1
 
1.3%
Other values (67) 67
87.0%
2024-03-13T23:34:30.793808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 461
16.6%
4 318
11.5%
- 308
11.1%
e 246
8.9%
c 201
7.3%
3 165
 
6.0%
5 161
 
5.8%
b 160
 
5.8%
a 155
 
5.6%
1 105
 
3.8%
Other values (7) 492
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1560
56.3%
Lowercase Letter 904
32.6%
Dash Punctuation 308
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 461
29.6%
4 318
20.4%
3 165
 
10.6%
5 161
 
10.3%
1 105
 
6.7%
8 98
 
6.3%
2 95
 
6.1%
9 94
 
6.0%
6 36
 
2.3%
7 27
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
e 246
27.2%
c 201
22.2%
b 160
17.7%
a 155
17.1%
d 73
 
8.1%
f 69
 
7.6%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1868
67.4%
Latin 904
32.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 461
24.7%
4 318
17.0%
- 308
16.5%
3 165
 
8.8%
5 161
 
8.6%
1 105
 
5.6%
8 98
 
5.2%
2 95
 
5.1%
9 94
 
5.0%
6 36
 
1.9%
Latin
ValueCountFrequency (%)
e 246
27.2%
c 201
22.2%
b 160
17.7%
a 155
17.1%
d 73
 
8.1%
f 69
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2772
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 461
16.6%
4 318
11.5%
- 308
11.1%
e 246
8.9%
c 201
7.3%
3 165
 
6.0%
5 161
 
5.8%
b 160
 
5.8%
a 155
 
5.6%
1 105
 
3.8%
Other values (7) 492
17.7%

유치원명
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:34:31.088189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.2207792
Min length5

Characters and Unicode

Total characters556
Distinct characters102
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

Unique77 ?
Unique (%)100.0%

Sample

1st row서울상계초등학교병설유치원
2nd row한울유치원
3rd row효천유치원
4th row영은유치원
5th row키즈위즈유치원
ValueCountFrequency (%)
서울상계초등학교병설유치원 1
 
1.3%
새봄유치원 1
 
1.3%
꿈터유치원 1
 
1.3%
한양유치원 1
 
1.3%
토마토유치원 1
 
1.3%
원암유치원 1
 
1.3%
사랑샘유치원 1
 
1.3%
아랑유치원 1
 
1.3%
서울노일유치원 1
 
1.3%
삼육대학교부속유치원 1
 
1.3%
Other values (69) 69
87.3%
2024-03-13T23:34:31.416461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 83
14.9%
치 78
14.0%
유 77
13.8%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
등 16
 
2.9%
병 16
 
2.9%
Other values (92) 189
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 554
99.6%
Space Separator 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 83
15.0%
치 78
14.1%
유 77
13.9%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
등 16
 
2.9%
병 16
 
2.9%
Other values (91) 187
33.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 554
99.6%
Common 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 83
15.0%
치 78
14.1%
유 77
13.9%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
등 16
 
2.9%
병 16
 
2.9%
Other values (91) 187
33.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 554
99.6%
ASCII 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 83
15.0%
치 78
14.1%
유 77
13.9%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
등 16
 
2.9%
병 16
 
2.9%
Other values (91) 187
33.8%
ASCII
ValueCountFrequency (%)
2
100.0%

설립유형
Categorical

Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
사립(사인)
49 
공립(병설)
16 
사립(법인)
9 
공립(단설)
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 49
63.6%
공립(병설) 16
 
20.8%
사립(법인) 9
 
11.7%
공립(단설) 3
 
3.9%

Length

2024-03-13T23:34:31.529967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:34:31.618962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 49
63.6%
공립(병설 16
 
20.8%
사립(법인 9
 
11.7%
공립(단설 3
 
3.9%

건축년도
Categorical

Distinct28
Distinct (%)36.4%
Missing0
Missing (%)0.0%
Memory size748.0 B
1988년
9 
1991년
7 
1998년
6 
1995년
6 
1994년
 
4
Other values (23)
45 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique10 ?
Unique (%)13.0%

Sample

1st row2017년
2nd row1999년
3rd row1993년
4th row1987년
5th row2009년

Common Values

ValueCountFrequency (%)
1988년 9
 
11.7%
1991년 7
 
9.1%
1998년 6
 
7.8%
1995년 6
 
7.8%
1994년 4
 
5.2%
1999년 4
 
5.2%
1989년 4
 
5.2%
1992년 4
 
5.2%
1986년 3
 
3.9%
1993년 3
 
3.9%
Other values (18) 27
35.1%

Length

2024-03-13T23:34:31.715512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1988년 9
 
11.7%
1991년 7
 
9.1%
1998년 6
 
7.8%
1995년 6
 
7.8%
1994년 4
 
5.2%
1999년 4
 
5.2%
1989년 4
 
5.2%
1992년 4
 
5.2%
1986년 3
 
3.9%
1993년 3
 
3.9%
Other values (18) 27
35.1%

건물층수
Categorical

Distinct9
Distinct (%)11.7%
Missing0
Missing (%)0.0%
Memory size748.0 B
지상2층/ 지하0층
20 
지상2층/ 지하1층
20 
지상1층/ 지하0층
11 
지상3층/ 지하1층
8 
지상3층/ 지하0층
7 
Other values (4)
11 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row지상2층/ 지하0층
2nd row지상2층/ 지하1층
3rd row지상2층/ 지하1층
4th row지상4층/ 지하1층
5th row지상2층/ 지하0층

Common Values

ValueCountFrequency (%)
지상2층/ 지하0층 20
26.0%
지상2층/ 지하1층 20
26.0%
지상1층/ 지하0층 11
14.3%
지상3층/ 지하1층 8
 
10.4%
지상3층/ 지하0층 7
 
9.1%
지상4층/ 지하1층 6
 
7.8%
지상4층/ 지하0층 3
 
3.9%
지상1층/ 지하1층 1
 
1.3%
지상3층/ 지하2층 1
 
1.3%

Length

2024-03-13T23:34:31.801986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:34:32.160695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하0층 41
26.6%
지상2층 40
26.0%
지하1층 35
22.7%
지상3층 16
 
10.4%
지상1층 12
 
7.8%
지상4층 9
 
5.8%
지하2층 1
 
0.6%

건물전용면적
Text

Distinct73
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:34:32.390845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.1298701
Min length4

Characters and Unicode

Total characters318
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

Unique69 ?
Unique (%)89.6%

Sample

1st row418㎡
2nd row915㎡
3rd row443㎡
4th row726㎡
5th row643㎡
ValueCountFrequency (%)
615㎡ 2
 
2.6%
601㎡ 2
 
2.6%
426㎡ 2
 
2.6%
548㎡ 2
 
2.6%
1191㎡ 1
 
1.3%
1155㎡ 1
 
1.3%
876㎡ 1
 
1.3%
1660㎡ 1
 
1.3%
550㎡ 1
 
1.3%
769㎡ 1
 
1.3%
Other values (63) 63
81.8%
2024-03-13T23:34:32.735900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 77
24.2%
6 33
10.4%
4 32
10.1%
1 26
 
8.2%
7 24
 
7.5%
5 23
 
7.2%
9 22
 
6.9%
0 21
 
6.6%
2 21
 
6.6%
8 20
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 241
75.8%
Other Symbol 77
 
24.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 33
13.7%
4 32
13.3%
1 26
10.8%
7 24
10.0%
5 23
9.5%
9 22
9.1%
0 21
8.7%
2 21
8.7%
8 20
8.3%
3 19
7.9%
Other Symbol
ValueCountFrequency (%)
㎡ 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 318
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 77
24.2%
6 33
10.4%
4 32
10.1%
1 26
 
8.2%
7 24
 
7.5%
5 23
 
7.2%
9 22
 
6.9%
0 21
 
6.6%
2 21
 
6.6%
8 20
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 241
75.8%
CJK Compat 77
 
24.2%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 77
100.0%
ASCII
ValueCountFrequency (%)
6 33
13.7%
4 32
13.3%
1 26
10.8%
7 24
10.0%
5 23
9.5%
9 22
9.1%
0 21
8.7%
2 21
8.7%
8 20
8.3%
3 19
7.9%

대지총면적
Text

Distinct74
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:34:32.985683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.6103896
Min length4

Characters and Unicode

Total characters355
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

Unique71 ?
Unique (%)92.2%

Sample

1st row9831㎡
2nd row694㎡
3rd row683㎡
4th row726㎡
5th row696㎡
ValueCountFrequency (%)
299㎡ 2
 
2.6%
600㎡ 2
 
2.6%
1035㎡ 2
 
2.6%
1036㎡ 1
 
1.3%
32110㎡ 1
 
1.3%
876㎡ 1
 
1.3%
1164㎡ 1
 
1.3%
930㎡ 1
 
1.3%
630㎡ 1
 
1.3%
601㎡ 1
 
1.3%
Other values (64) 64
83.1%
2024-03-13T23:34:33.341360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 77
21.7%
1 47
13.2%
0 31
8.7%
2 29
 
8.2%
9 27
 
7.6%
5 27
 
7.6%
6 27
 
7.6%
4 27
 
7.6%
3 25
 
7.0%
7 21
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 278
78.3%
Other Symbol 77
 
21.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 47
16.9%
0 31
11.2%
2 29
10.4%
9 27
9.7%
5 27
9.7%
6 27
9.7%
4 27
9.7%
3 25
9.0%
7 21
7.6%
8 17
 
6.1%
Other Symbol
ValueCountFrequency (%)
㎡ 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 355
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 77
21.7%
1 47
13.2%
0 31
8.7%
2 29
 
8.2%
9 27
 
7.6%
5 27
 
7.6%
6 27
 
7.6%
4 27
 
7.6%
3 25
 
7.0%
7 21
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278
78.3%
CJK Compat 77
 
21.7%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 77
100.0%
ASCII
ValueCountFrequency (%)
1 47
16.9%
0 31
11.2%
2 29
10.4%
9 27
9.7%
5 27
9.7%
6 27
9.7%
4 27
9.7%
3 25
9.0%
7 21
7.6%
8 17
 
6.1%

공시차수
Categorical

Distinct5
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
20231
58 
20201
6 
20191
 
5
20181
 
5
20211
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20231
2nd row20211
3rd row20231
4th row20201
5th row20231

Common Values

ValueCountFrequency (%)
20231 58
75.3%
20201 6
 
7.8%
20191 5
 
6.5%
20181 5
 
6.5%
20211 3
 
3.9%

Length

2024-03-13T23:34:33.450171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:34:33.536229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 58
75.3%
20201 6
 
7.8%
20191 5
 
6.5%
20181 5
 
6.5%
20211 3
 
3.9%

주소
Text

Distinct74
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:34:33.792224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.077922
Min length15

Characters and Unicode

Total characters1469
Distinct characters54
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

Unique71 ?
Unique (%)92.2%

Sample

1st row서울특별시 노원구 상계로9길 39
2nd row서울특별시 노원구 덕릉로122길 12-6
3rd row서울특별시 노원구 중계로18길 14
4th row서울특별시 노원구 동일로213길 78
5th row서울특별시 노원구 덕릉로86길 65
ValueCountFrequency (%)
노원구 77
25.0%
서울특별시 76
24.7%
한글비석로 5
 
1.6%
동일로227길 3
 
1.0%
23 3
 
1.0%
26 3
 
1.0%
섬밭로 3
 
1.0%
16 3
 
1.0%
48 2
 
0.6%
화랑로 2
 
0.6%
Other values (111) 131
42.5%
2024-03-13T23:34:34.193783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
15.7%
노 82
 
5.6%
원 82
 
5.6%
서 77
 
5.2%
구 77
 
5.2%
울 77
 
5.2%
특 76
 
5.2%
별 76
 
5.2%
시 76
 
5.2%
로 76
 
5.2%
Other values (44) 539
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
63.0%
Decimal Number 306
 
20.8%
Space Separator 231
 
15.7%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 82
8.9%
원 82
8.9%
서 77
8.3%
구 77
8.3%
울 77
8.3%
특 76
8.2%
별 76
8.2%
시 76
8.2%
로 76
8.2%
길 51
 
5.5%
Other values (32) 175
18.9%
Decimal Number
ValueCountFrequency (%)
2 61
19.9%
1 60
19.6%
3 33
10.8%
5 30
9.8%
4 29
9.5%
6 25
8.2%
8 22
 
7.2%
7 20
 
6.5%
9 17
 
5.6%
0 9
 
2.9%
Space Separator
ValueCountFrequency (%)
231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
63.0%
Common 544
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 82
8.9%
원 82
8.9%
서 77
8.3%
구 77
8.3%
울 77
8.3%
특 76
8.2%
별 76
8.2%
시 76
8.2%
로 76
8.2%
길 51
 
5.5%
Other values (32) 175
18.9%
Common
ValueCountFrequency (%)
231
42.5%
2 61
 
11.2%
1 60
 
11.0%
3 33
 
6.1%
5 30
 
5.5%
4 29
 
5.3%
6 25
 
4.6%
8 22
 
4.0%
7 20
 
3.7%
9 17
 
3.1%
Other values (2) 16
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
63.0%
ASCII 544
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
42.5%
2 61
 
11.2%
1 60
 
11.0%
3 33
 
6.1%
5 30
 
5.5%
4 29
 
5.3%
6 25
 
4.6%
8 22
 
4.0%
7 20
 
3.7%
9 17
 
3.1%
Other values (2) 16
 
2.9%
Hangul
ValueCountFrequency (%)
노 82
8.9%
원 82
8.9%
서 77
8.3%
구 77
8.3%
울 77
8.3%
특 76
8.2%
별 76
8.2%
시 76
8.2%
로 76
8.2%
길 51
 
5.5%
Other values (32) 175
18.9%

Correlations

2024-03-13T23:34:34.284207image/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
설립유형1.0001.0001.0000.3710.4310.8510.0000.1110.000
건축년도1.0001.0000.3711.0000.2840.9800.9960.0001.000
건물층수1.0001.0000.4310.2841.0000.9240.9650.1901.000
건물전용면적1.0001.0000.8510.9800.9241.0000.9720.0000.972
대지총면적1.0001.0000.0000.9960.9650.9721.0000.0000.998
공시차수1.0001.0000.1110.0000.1900.0000.0001.0000.000
주소1.0001.0000.0001.0001.0000.9720.9980.0001.000
2024-03-13T23:34:34.387526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물층수설립유형공시차수건축년도
건물층수1.0000.2770.1010.060
설립유형0.2771.0000.0860.134
공시차수0.1010.0861.0000.000
건축년도0.0600.1340.0001.000
2024-03-13T23:34:34.461843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형건축년도건물층수공시차수
설립유형1.0000.1340.2770.086
건축년도0.1341.0000.0600.000
건물층수0.2770.0601.0000.101
공시차수0.0860.0000.1011.000

Missing values

2024-03-13T23:34:29.779566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T23:34:29.953312image/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
0서울특별시교육청북부교육지원청0c4bc461-9f36-4d28-94e3-3dfb9c6cd4e3서울상계초등학교병설유치원공립(병설)2017년지상2층/ 지하0층418㎡9831㎡20231서울특별시 노원구 상계로9길 39
1서울특별시교육청북부교육지원청1ecec08c-ed86-b044-e053-0a32095ab044한울유치원사립(사인)1999년지상2층/ 지하1층915㎡694㎡20211서울특별시 노원구 덕릉로122길 12-6
2서울특별시교육청북부교육지원청1ecec08c-ed88-b044-e053-0a32095ab044효천유치원사립(사인)1993년지상2층/ 지하1층443㎡683㎡20231서울특별시 노원구 중계로18길 14
3서울특별시교육청북부교육지원청1ecec08c-eed1-b044-e053-0a32095ab044영은유치원사립(사인)1987년지상4층/ 지하1층726㎡726㎡20201서울특별시 노원구 동일로213길 78
4서울특별시교육청북부교육지원청1ecec08c-ef26-b044-e053-0a32095ab044키즈위즈유치원사립(사인)2009년지상2층/ 지하0층643㎡696㎡20231서울특별시 노원구 덕릉로86길 65
5서울특별시교육청북부교육지원청1ecec08c-efcd-b044-e053-0a32095ab044공릉 사라유치원사립(사인)1995년지상2층/ 지하1층338㎡442㎡20231서울특별시 노원구 동일로198가길 13
6서울특별시교육청북부교육지원청1ecec08c-efce-b044-e053-0a32095ab044상원유치원사립(사인)1991년지상2층/ 지하1층850㎡1372㎡20231서울특별시 노원구 노원로19길 33
7서울특별시교육청북부교육지원청1ecec08c-efcf-b044-e053-0a32095ab044서울수락초등학교병설유치원공립(병설)1997년지상4층/ 지하1층374㎡14662㎡20231서울특별시 노원구 동일로 1745
8서울특별시교육청북부교육지원청1ecec08c-efd7-b044-e053-0a32095ab044육사유치원사립(사인)1994년지상2층/ 지하0층910㎡910㎡20231서울 노원구 공릉동 24-1
9서울특별시교육청북부교육지원청1ecec08c-efd8-b044-e053-0a32095ab044이레유치원사립(사인)1995년지상2층/ 지하1층730㎡1035㎡20191서울특별시 노원구 월계로55길 16
교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
67서울특별시교육청북부교육지원청1ecec08d-0ef1-b044-e053-0a32095ab044노원 삼육유치원사립(법인)2004년지상2층/ 지하0층823㎡237㎡20231서울특별시 노원구 공릉로42길 13-1
68서울특별시교육청북부교육지원청1ff76abf-a519-49f7-9c73-cdb63feb87e7서울연지유치원공립(단설)1995년지상2층/ 지하1층773㎡1035㎡20231서울특별시 노원구 월계로55길 16
69서울특별시교육청북부교육지원청233930d4-6ab2-4671-88de-f431e1ea4801서울수락산유치원공립(단설)1998년지상2층/ 지하1층878㎡1046㎡20231서울특별시 노원구 동일로245길 162
70서울특별시교육청북부교육지원청30a543a1-a1cd-4d01-b5a2-1ff881664d96서울상원초등학교병설유치원공립(병설)2022년지상1층/ 지하0층575㎡5991㎡20231서울특별시 노원구 한글비석로54길 119
71서울특별시교육청북부교육지원청5273f8fa-4226-465b-8a8e-83d366b4c2fe서울당현초등학교병설유치원공립(병설)1988년지상2층/ 지하0층391㎡11657㎡20231서울특별시 노원구 동일로213길 52
72서울특별시교육청북부교육지원청55377202-19bf-46f9-93eb-e81f4c49ddba서울용동초등학교병설유치원공립(병설)1991년지상1층/ 지하0층466㎡11215㎡20231서울특별시 노원구 한글비석로1길 81-11
73서울특별시교육청북부교육지원청7594e46b-0646-4ce2-9bce-ad3493a6b4ad꿈동산아이유치원사립(법인)1988년지상3층/ 지하1층1080㎡170507㎡20231서울특별시 노원구 동일로227길 26
74서울특별시교육청북부교육지원청7b5c2e25-68ac-47e2-b661-53b594c85e6f서울공연초등학교병설유치원공립(병설)1984년지상4층/ 지하0층467㎡4399㎡20231서울특별시 노원구 동일로192가길 16
75서울특별시교육청북부교육지원청d2ef6fed-c1e4-417d-8794-73f74106491f서울계상초등학교병설유치원공립(병설)1983년지상1층/ 지하0층441㎡17462㎡20231서울특별시 노원구 한글비석로41가길 24
76서울특별시교육청북부교육지원청f989a1f7-1610-4bc9-8ead-ddb5fdfdfe1e서울태릉초등학교병설유치원공립(병설)1986년지상1층/ 지하0층177㎡600㎡20231서울특별시 노원구 노원로1길 36