Overview

Dataset statistics

Number of variables13
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory109.4 B

Variable types

Categorical5
Text7
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-20650/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 16:16:00.953230
Analysis finished2024-03-13 16:16:01.799166
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
서울특별시교육청
30 

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 30
100.0%

Length

2024-03-14T01:16:01.865232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:16:01.970547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 30
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
강남서초교육지원청
30 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남서초교육지원청 30
100.0%

Length

2024-03-14T01:16:02.050846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:16:02.132996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남서초교육지원청 30
100.0%

유치원코드
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T01:16:02.310243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1080
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowc62c929e-a5b4-4cad-89f6-a490272463d9
2nd row1ecec08d-02a5-b044-e053-0a32095ab044
3rd row1fd6777e-1535-e0b0-e053-0a32095ae0b0
4th row1ecec08c-fc1b-b044-e053-0a32095ab044
5th row1ecec08d-02a7-b044-e053-0a32095ab044
ValueCountFrequency (%)
c62c929e-a5b4-4cad-89f6-a490272463d9 1
 
3.3%
1ecec08d-02a5-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0e62-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0b9a-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0b99-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0a6d-b044-e053-0a32095ab044 1
 
3.3%
1ecec08d-0a6a-b044-e053-0a32095ab044 1
 
3.3%
1ecec08c-f5d1-b044-e053-0a32095ab044 1
 
3.3%
1ecec08c-f43f-b044-e053-0a32095ab044 1
 
3.3%
1ecec08c-f00d-b044-e053-0a32095ab044 1
 
3.3%
Other values (20) 20
66.7%
2024-03-14T01:16:02.630013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
17.6%
- 120
11.1%
4 111
10.3%
e 94
8.7%
c 76
 
7.0%
a 73
 
6.8%
3 63
 
5.8%
b 62
 
5.7%
5 62
 
5.7%
9 41
 
3.8%
Other values (7) 188
17.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 607
56.2%
Lowercase Letter 353
32.7%
Dash Punctuation 120
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
31.3%
4 111
18.3%
3 63
 
10.4%
5 62
 
10.2%
9 41
 
6.8%
1 40
 
6.6%
2 36
 
5.9%
8 34
 
5.6%
6 15
 
2.5%
7 15
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
e 94
26.6%
c 76
21.5%
a 73
20.7%
b 62
17.6%
d 25
 
7.1%
f 23
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 727
67.3%
Latin 353
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
26.1%
- 120
16.5%
4 111
15.3%
3 63
 
8.7%
5 62
 
8.5%
9 41
 
5.6%
1 40
 
5.5%
2 36
 
5.0%
8 34
 
4.7%
6 15
 
2.1%
Latin
ValueCountFrequency (%)
e 94
26.6%
c 76
21.5%
a 73
20.7%
b 62
17.6%
d 25
 
7.1%
f 23
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
17.6%
- 120
11.1%
4 111
10.3%
e 94
8.7%
c 76
 
7.0%
a 73
 
6.8%
3 63
 
5.8%
b 62
 
5.7%
5 62
 
5.7%
9 41
 
3.8%
Other values (7) 188
17.4%

유치원명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T01:16:02.827337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10.5
Mean length7.6333333
Min length5

Characters and Unicode

Total characters229
Distinct characters57
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울어진유치원
2nd row신반포중앙유치원
3rd row예원유치원
4th row하나유치원
5th row영생유치원
ValueCountFrequency (%)
서울어진유치원 1
 
3.3%
신반포중앙유치원 1
 
3.3%
서울방배초등학교병설유치원 1
 
3.3%
새순유치원 1
 
3.3%
새성민유치원 1
 
3.3%
서울언남초등학교병설유치원 1
 
3.3%
서초유치원 1
 
3.3%
구룡유치원 1
 
3.3%
우정유치원 1
 
3.3%
여나유치원 1
 
3.3%
Other values (20) 20
66.7%
2024-03-14T01:16:03.151812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 32
14.0%
유 31
13.5%
치 30
13.1%
서 13
 
5.7%
울 11
 
4.8%
초 9
 
3.9%
설 8
 
3.5%
병 8
 
3.5%
교 8
 
3.5%
학 8
 
3.5%
Other values (47) 71
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 32
14.0%
유 31
13.5%
치 30
13.1%
서 13
 
5.7%
울 11
 
4.8%
초 9
 
3.9%
설 8
 
3.5%
병 8
 
3.5%
교 8
 
3.5%
학 8
 
3.5%
Other values (47) 71
31.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 32
14.0%
유 31
13.5%
치 30
13.1%
서 13
 
5.7%
울 11
 
4.8%
초 9
 
3.9%
설 8
 
3.5%
병 8
 
3.5%
교 8
 
3.5%
학 8
 
3.5%
Other values (47) 71
31.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 32
14.0%
유 31
13.5%
치 30
13.1%
서 13
 
5.7%
울 11
 
4.8%
초 9
 
3.9%
설 8
 
3.5%
병 8
 
3.5%
교 8
 
3.5%
학 8
 
3.5%
Other values (47) 71
31.0%

설립유형
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
사립(사인)
15 
공립(병설)
8 
사립(법인)
4 
공립(단설)
3 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 15
50.0%
공립(병설) 8
26.7%
사립(법인) 4
 
13.3%
공립(단설) 3
 
10.0%

Length

2024-03-14T01:16:03.266957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:16:03.356836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 15
50.0%
공립(병설 8
26.7%
사립(법인 4
 
13.3%
공립(단설 3
 
10.0%

교실수
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3개
6 
6개
5 
4개
5 
8개
4 
7개
3 
Other values (5)
7 

Length

Max length3
Median length2
Mean length2.0333333
Min length2

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row8개
2nd row6개
3rd row8개
4th row8개
5th row4개

Common Values

ValueCountFrequency (%)
3개 6
20.0%
6개 5
16.7%
4개 5
16.7%
8개 4
13.3%
7개 3
10.0%
5개 3
10.0%
9개 1
 
3.3%
11개 1
 
3.3%
2개 1
 
3.3%
0개 1
 
3.3%

Length

2024-03-14T01:16:03.476918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:16:03.628572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3개 6
20.0%
6개 5
16.7%
4개 5
16.7%
8개 4
13.3%
7개 3
10.0%
5개 3
10.0%
9개 1
 
3.3%
11개 1
 
3.3%
2개 1
 
3.3%
0개 1
 
3.3%

교실면적
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T01:16:03.819390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9
Min length1

Characters and Unicode

Total characters117
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

Unique26 ?
Unique (%)86.7%

Sample

1st row536㎡
2nd row309㎡
3rd row414㎡
4th row340㎡
5th row264㎡
ValueCountFrequency (%)
330㎡ 2
 
6.7%
340㎡ 2
 
6.7%
640㎡ 1
 
3.3%
334㎡ 1
 
3.3%
184㎡ 1
 
3.3%
239㎡ 1
 
3.3%
㎡ 1
 
3.3%
242㎡ 1
 
3.3%
434㎡ 1
 
3.3%
687㎡ 1
 
3.3%
Other values (18) 18
60.0%
2024-03-14T01:16:04.119440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 30
25.6%
3 19
16.2%
4 12
 
10.3%
2 10
 
8.5%
0 9
 
7.7%
8 8
 
6.8%
1 7
 
6.0%
6 7
 
6.0%
7 6
 
5.1%
5 5
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 87
74.4%
Other Symbol 30
 
25.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 19
21.8%
4 12
13.8%
2 10
11.5%
0 9
10.3%
8 8
9.2%
1 7
 
8.0%
6 7
 
8.0%
7 6
 
6.9%
5 5
 
5.7%
9 4
 
4.6%
Other Symbol
ValueCountFrequency (%)
㎡ 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 30
25.6%
3 19
16.2%
4 12
 
10.3%
2 10
 
8.5%
0 9
 
7.7%
8 8
 
6.8%
1 7
 
6.0%
6 7
 
6.0%
7 6
 
5.1%
5 5
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87
74.4%
CJK Compat 30
 
25.6%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 30
100.0%
ASCII
ValueCountFrequency (%)
3 19
21.8%
4 12
13.8%
2 10
11.5%
0 9
10.3%
8 8
9.2%
1 7
 
8.0%
6 7
 
8.0%
7 6
 
6.9%
5 5
 
5.7%
9 4
 
4.6%

체육장
Categorical

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
㎡
21 
53㎡
 
1
337㎡
 
1
51㎡
 
1
509㎡
 
1
Other values (5)
5 

Length

Max length4
Median length1
Mean length1.7666667
Min length1

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st row㎡
2nd row㎡
3rd row㎡
4th row㎡
5th row㎡

Common Values

ValueCountFrequency (%)
㎡ 21
70.0%
53㎡ 1
 
3.3%
337㎡ 1
 
3.3%
51㎡ 1
 
3.3%
509㎡ 1
 
3.3%
70㎡ 1
 
3.3%
208㎡ 1
 
3.3%
340㎡ 1
 
3.3%
194㎡ 1
 
3.3%
54㎡ 1
 
3.3%

Length

2024-03-14T01:16:04.240675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:16:04.348083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
㎡ 21
70.0%
53㎡ 1
 
3.3%
337㎡ 1
 
3.3%
51㎡ 1
 
3.3%
509㎡ 1
 
3.3%
70㎡ 1
 
3.3%
208㎡ 1
 
3.3%
340㎡ 1
 
3.3%
194㎡ 1
 
3.3%
54㎡ 1
 
3.3%

보건/위생공간
Text

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T01:16:04.496999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0333333
Min length2

Characters and Unicode

Total characters91
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

Unique24 ?
Unique (%)80.0%

Sample

1st row50㎡
2nd row35㎡
3rd row199㎡
4th row10㎡
5th row18㎡
ValueCountFrequency (%)
0㎡ 4
 
13.3%
68㎡ 2
 
6.7%
50㎡ 1
 
3.3%
34㎡ 1
 
3.3%
122㎡ 1
 
3.3%
73㎡ 1
 
3.3%
86㎡ 1
 
3.3%
84㎡ 1
 
3.3%
8㎡ 1
 
3.3%
77㎡ 1
 
3.3%
Other values (16) 16
53.3%
2024-03-14T01:16:04.798570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 30
33.0%
0 8
 
8.8%
6 8
 
8.8%
8 8
 
8.8%
3 8
 
8.8%
1 7
 
7.7%
2 6
 
6.6%
4 6
 
6.6%
9 4
 
4.4%
7 4
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 61
67.0%
Other Symbol 30
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
13.1%
6 8
13.1%
8 8
13.1%
3 8
13.1%
1 7
11.5%
2 6
9.8%
4 6
9.8%
9 4
6.6%
7 4
6.6%
5 2
 
3.3%
Other Symbol
ValueCountFrequency (%)
㎡ 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 30
33.0%
0 8
 
8.8%
6 8
 
8.8%
8 8
 
8.8%
3 8
 
8.8%
1 7
 
7.7%
2 6
 
6.6%
4 6
 
6.6%
9 4
 
4.4%
7 4
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61
67.0%
CJK Compat 30
33.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 30
100.0%
ASCII
ValueCountFrequency (%)
0 8
13.1%
6 8
13.1%
8 8
13.1%
3 8
13.1%
1 7
11.5%
2 6
9.8%
4 6
9.8%
9 4
6.6%
7 4
6.6%
5 2
 
3.3%

조리실/급식공간
Text

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T01:16:04.943280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.2666667
Min length2

Characters and Unicode

Total characters98
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

Unique23 ?
Unique (%)76.7%

Sample

1st row1488㎡
2nd row0㎡
3rd row55㎡
4th row321㎡
5th row0㎡
ValueCountFrequency (%)
0㎡ 5
 
16.7%
26㎡ 2
 
6.7%
30㎡ 1
 
3.3%
1488㎡ 1
 
3.3%
33㎡ 1
 
3.3%
192㎡ 1
 
3.3%
60㎡ 1
 
3.3%
193㎡ 1
 
3.3%
137㎡ 1
 
3.3%
103㎡ 1
 
3.3%
Other values (15) 15
50.0%
2024-03-14T01:16:05.217676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 30
30.6%
0 11
 
11.2%
1 11
 
11.2%
5 9
 
9.2%
3 7
 
7.1%
2 6
 
6.1%
9 6
 
6.1%
6 5
 
5.1%
7 5
 
5.1%
4 4
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68
69.4%
Other Symbol 30
30.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11
16.2%
1 11
16.2%
5 9
13.2%
3 7
10.3%
2 6
8.8%
9 6
8.8%
6 5
7.4%
7 5
7.4%
4 4
 
5.9%
8 4
 
5.9%
Other Symbol
ValueCountFrequency (%)
㎡ 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 30
30.6%
0 11
 
11.2%
1 11
 
11.2%
5 9
 
9.2%
3 7
 
7.1%
2 6
 
6.1%
9 6
 
6.1%
6 5
 
5.1%
7 5
 
5.1%
4 4
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68
69.4%
CJK Compat 30
30.6%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 30
100.0%
ASCII
ValueCountFrequency (%)
0 11
16.2%
1 11
16.2%
5 9
13.2%
3 7
10.3%
2 6
8.8%
9 6
8.8%
6 5
7.4%
7 5
7.4%
4 4
 
5.9%
8 4
 
5.9%

기타공간
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T01:16:05.390318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1333333
Min length2

Characters and Unicode

Total characters94
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

Unique24 ?
Unique (%)80.0%

Sample

1st row47㎡
2nd row98㎡
3rd row364㎡
4th row5㎡
5th row20㎡
ValueCountFrequency (%)
0㎡ 2
 
6.7%
25㎡ 2
 
6.7%
18㎡ 2
 
6.7%
98㎡ 1
 
3.3%
47㎡ 1
 
3.3%
70㎡ 1
 
3.3%
165㎡ 1
 
3.3%
12㎡ 1
 
3.3%
37㎡ 1
 
3.3%
11㎡ 1
 
3.3%
Other values (17) 17
56.7%
2024-03-14T01:16:05.718052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 30
31.9%
1 16
17.0%
2 9
 
9.6%
3 8
 
8.5%
0 7
 
7.4%
8 6
 
6.4%
7 6
 
6.4%
5 5
 
5.3%
6 3
 
3.2%
4 3
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64
68.1%
Other Symbol 30
31.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
25.0%
2 9
14.1%
3 8
12.5%
0 7
10.9%
8 6
 
9.4%
7 6
 
9.4%
5 5
 
7.8%
6 3
 
4.7%
4 3
 
4.7%
9 1
 
1.6%
Other Symbol
ValueCountFrequency (%)
㎡ 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 94
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 30
31.9%
1 16
17.0%
2 9
 
9.6%
3 8
 
8.5%
0 7
 
7.4%
8 6
 
6.4%
7 6
 
6.4%
5 5
 
5.3%
6 3
 
3.2%
4 3
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64
68.1%
CJK Compat 30
31.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 30
100.0%
ASCII
ValueCountFrequency (%)
1 16
25.0%
2 9
14.1%
3 8
12.5%
0 7
10.9%
8 6
 
9.4%
7 6
 
9.4%
5 5
 
7.8%
6 3
 
4.7%
4 3
 
4.7%
9 1
 
1.6%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223
Minimum20181
Maximum20231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-14T01:16:05.853065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181
5-th percentile20185.5
Q120231
median20231
Q320231
95-th percentile20231
Maximum20231
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16.273524
Coefficient of variation (CV)0.00080470376
Kurtosis1.9064702
Mean20223
Median Absolute Deviation (MAD)0
Skewness-1.8373128
Sum606690
Variance264.82759
MonotonicityNot monotonic
2024-03-14T01:16:05.969196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20231 23
76.7%
20191 2
 
6.7%
20181 2
 
6.7%
20221 1
 
3.3%
20211 1
 
3.3%
20201 1
 
3.3%
ValueCountFrequency (%)
20181 2
 
6.7%
20191 2
 
6.7%
20201 1
 
3.3%
20211 1
 
3.3%
20221 1
 
3.3%
20231 23
76.7%
ValueCountFrequency (%)
20231 23
76.7%
20221 1
 
3.3%
20211 1
 
3.3%
20201 1
 
3.3%
20191 2
 
6.7%
20181 2
 
6.7%

주소
Text

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-14T01:16:06.185571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20.5
Mean length19.033333
Min length16

Characters and Unicode

Total characters571
Distinct characters55
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

Unique28 ?
Unique (%)93.3%

Sample

1st row서울특별시 서초구 태봉로2길 21
2nd row서울특별시 서초구 나루터로4길 58
3rd row서울특별시 서초구 태봉로2길 21
4th row서울특별시 서초구 잠원로8길 13
5th row서울특별시 서초구 신반포로19길 30
ValueCountFrequency (%)
서울특별시 30
25.0%
서초구 30
25.0%
14 2
 
1.7%
태봉로2길 2
 
1.7%
21 2
 
1.7%
18 2
 
1.7%
신반포로 2
 
1.7%
양재대로2길 2
 
1.7%
서초중앙로 1
 
0.8%
73 1
 
0.8%
Other values (46) 46
38.3%
2024-03-14T01:16:06.511311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
90
15.8%
서 65
 
11.4%
초 35
 
6.1%
특 30
 
5.3%
별 30
 
5.3%
시 30
 
5.3%
구 30
 
5.3%
울 30
 
5.3%
로 30
 
5.3%
길 22
 
3.9%
Other values (45) 179
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
65.3%
Decimal Number 104
 
18.2%
Space Separator 90
 
15.8%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 65
17.4%
초 35
9.4%
특 30
8.0%
별 30
8.0%
시 30
8.0%
구 30
8.0%
울 30
8.0%
로 30
8.0%
길 22
 
5.9%
대 5
 
1.3%
Other values (33) 66
17.7%
Decimal Number
ValueCountFrequency (%)
1 21
20.2%
2 17
16.3%
4 12
11.5%
3 11
10.6%
0 10
9.6%
5 8
 
7.7%
7 7
 
6.7%
8 7
 
6.7%
6 6
 
5.8%
9 5
 
4.8%
Space Separator
ValueCountFrequency (%)
90
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
65.3%
Common 198
34.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 65
17.4%
초 35
9.4%
특 30
8.0%
별 30
8.0%
시 30
8.0%
구 30
8.0%
울 30
8.0%
로 30
8.0%
길 22
 
5.9%
대 5
 
1.3%
Other values (33) 66
17.7%
Common
ValueCountFrequency (%)
90
45.5%
1 21
 
10.6%
2 17
 
8.6%
4 12
 
6.1%
3 11
 
5.6%
0 10
 
5.1%
5 8
 
4.0%
7 7
 
3.5%
8 7
 
3.5%
6 6
 
3.0%
Other values (2) 9
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
65.3%
ASCII 198
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
90
45.5%
1 21
 
10.6%
2 17
 
8.6%
4 12
 
6.1%
3 11
 
5.6%
0 10
 
5.1%
5 8
 
4.0%
7 7
 
3.5%
8 7
 
3.5%
6 6
 
3.0%
Other values (2) 9
 
4.5%
Hangul
ValueCountFrequency (%)
서 65
17.4%
초 35
9.4%
특 30
8.0%
별 30
8.0%
시 30
8.0%
구 30
8.0%
울 30
8.0%
로 30
8.0%
길 22
 
5.9%
대 5
 
1.3%
Other values (33) 66
17.7%

Interactions

2024-03-14T01:16:01.477029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T01:16:06.909697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.4570.4630.4220.6740.8290.9290.1360.000
교실수1.0001.0000.4571.0000.9320.9000.0000.9160.7170.0001.000
교실면적1.0001.0000.4630.9321.0000.9170.8970.9450.9160.0000.971
체육장1.0001.0000.4220.9000.9171.0000.7190.8450.7200.0001.000
보건/위생공간1.0001.0000.6740.0000.8970.7191.0000.9140.9030.0000.961
조리실/급식공간1.0001.0000.8290.9160.9450.8450.9141.0000.9240.0000.955
기타공간1.0001.0000.9290.7170.9160.7200.9030.9241.0001.0000.966
공시차수1.0001.0000.1360.0000.0000.0000.0000.0001.0001.0000.426
주소1.0001.0000.0001.0000.9711.0000.9610.9550.9660.4261.000
2024-03-14T01:16:07.027748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형체육장교실수
설립유형1.0000.2080.232
체육장0.2081.0000.488
교실수0.2320.4881.000
2024-03-14T01:16:07.107018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형교실수체육장
공시차수1.0000.0510.0000.000
설립유형0.0511.0000.2320.208
교실수0.0000.2321.0000.488
체육장0.0000.2080.4881.000

Missing values

2024-03-14T01:16:01.584802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T01:16:01.738693image/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

교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
0서울특별시교육청강남서초교육지원청c62c929e-a5b4-4cad-89f6-a490272463d9서울어진유치원공립(단설)8개536㎡㎡50㎡1488㎡47㎡20231서울특별시 서초구 태봉로2길 21
1서울특별시교육청강남서초교육지원청1ecec08d-02a5-b044-e053-0a32095ab044신반포중앙유치원사립(법인)6개309㎡㎡35㎡0㎡98㎡20191서울특별시 서초구 나루터로4길 58
2서울특별시교육청강남서초교육지원청1fd6777e-1535-e0b0-e053-0a32095ae0b0예원유치원사립(사인)8개414㎡㎡199㎡55㎡364㎡20191서울특별시 서초구 태봉로2길 21
3서울특별시교육청강남서초교육지원청1ecec08c-fc1b-b044-e053-0a32095ab044하나유치원사립(사인)8개340㎡㎡10㎡321㎡5㎡20231서울특별시 서초구 잠원로8길 13
4서울특별시교육청강남서초교육지원청1ecec08d-02a7-b044-e053-0a32095ab044영생유치원사립(사인)4개264㎡㎡18㎡0㎡20㎡20231서울특별시 서초구 신반포로19길 30
5서울특별시교육청강남서초교육지원청7c71b778-6703-48da-ab25-12aa540fccaf서울양재유치원공립(단설)9개672㎡53㎡0㎡1069㎡142㎡20231서울특별시 서초구 바우뫼로18길 14
6서울특별시교육청강남서초교육지원청830ff6c0-a6e8-4d8e-9aee-9c018c1660cf서울청계숲유치원공립(단설)11개847㎡337㎡232㎡559㎡82㎡20231서울특별시 서초구 청계산로11길 14
7서울특별시교육청강남서초교육지원청1ecec08c-fd47-b044-e053-0a32095ab044서울반포초등학교병설유치원공립(병설)3개202㎡㎡44㎡179㎡22㎡20221서울특별시 서초구 신반포로 55-4
8서울특별시교육청강남서초교육지원청1ecec08c-fe50-b044-e053-0a32095ab044서울우면초등학교병설유치원공립(병설)4개158㎡51㎡764㎡54㎡17㎡20231서울특별시 서초구 태봉로 59
9서울특별시교육청강남서초교육지원청1ecec08c-feb0-b044-e053-0a32095ab044서울우암초등학교병설유치원공립(병설)2개286㎡㎡0㎡78㎡111㎡20231서울특별시 서초구 바우뫼로7길 38
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
20서울특별시교육청강남서초교육지원청1ecec08c-f00c-b044-e053-0a32095ab044석문유치원사립(법인)4개315㎡㎡36㎡154㎡25㎡20231서울특별시 서초구 서초대로64길 73
21서울특별시교육청강남서초교육지원청1ecec08c-f00d-b044-e053-0a32095ab044여나유치원사립(사인)8개687㎡208㎡77㎡103㎡208㎡20231서울특별시 서초구 서초중앙로 200
22서울특별시교육청강남서초교육지원청1ecec08c-f43f-b044-e053-0a32095ab044우정유치원사립(사인)7개434㎡340㎡8㎡26㎡0㎡20231서울특별시 서초구 서초대로70길 32
23서울특별시교육청강남서초교육지원청1ecec08c-f5d1-b044-e053-0a32095ab044구룡유치원사립(사인)4개242㎡㎡84㎡137㎡11㎡20231서울특별시 서초구 논현로5길 31-11
24서울특별시교육청강남서초교육지원청1ecec08d-0a6a-b044-e053-0a32095ab044서초유치원사립(사인)0개㎡194㎡86㎡193㎡25㎡20231서울특별시 서초구 양재대로2길 100-64
25서울특별시교육청강남서초교육지원청1ecec08d-0a6d-b044-e053-0a32095ab044서울언남초등학교병설유치원공립(병설)6개239㎡㎡68㎡60㎡37㎡20231서울특별시 서초구 헌릉로8길 42
26서울특별시교육청강남서초교육지원청1ecec08d-0b99-b044-e053-0a32095ab044새성민유치원사립(사인)3개184㎡54㎡73㎡192㎡12㎡20231서울특별시 서초구 효령로 110
27서울특별시교육청강남서초교육지원청1ecec08d-0b9a-b044-e053-0a32095ab044새순유치원사립(사인)4개334㎡㎡0㎡0㎡0㎡20231서울특별시 서초구 서초대로15길 57
28서울특별시교육청강남서초교육지원청1ecec08d-0e62-b044-e053-0a32095ab044서울방배초등학교병설유치원공립(병설)5개330㎡㎡122㎡33㎡165㎡20231서울특별시 서초구 방배중앙로13길 26
29서울특별시교육청강남서초교육지원청1ecec08d-0a08-b044-e053-0a32095ab044반포성모유치원사립(법인)3개330㎡㎡29㎡40㎡361㎡20201서울특별시 서초구 신반포로15길 18