Overview

Dataset statistics

Number of variables13
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory108.5 B

Variable types

Categorical6
Text7

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-20633/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-03-13 17:58:47.275225
Analysis finished2024-03-13 17:58:47.991079
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
서울특별시교육청
38 

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 38
100.0%

Length

2024-03-14T02:58:48.039400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:58:48.113121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 38
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
성동광진교육지원청
38 

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 38
100.0%

Length

2024-03-14T02:58:48.186630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:58:48.258628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:58:48.429767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1368
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

Unique38 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f504-b044-e053-0a32095ab044
2nd row1ecec08c-f7d8-b044-e053-0a32095ab044
3rd row1ecec08d-0754-b044-e053-0a32095ab044
4th row1ecec08c-eee1-b044-e053-0a32095ab044
5th row1ecec08c-eee2-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f504-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-04b5-b044-e053-0a32095ab044 1
 
2.6%
ccb6c0b0-a68a-4b86-8fe2-58f35a3c1952 1
 
2.6%
1ecec08d-0077-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0078-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0248-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-02a6-b044-e053-0a32095ab044 1
 
2.6%
1ecec08c-ffe3-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0341-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-066f-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T02:58:48.717238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 241
17.6%
4 152
11.1%
- 152
11.1%
e 126
9.2%
c 100
7.3%
3 84
 
6.1%
a 83
 
6.1%
5 82
 
6.0%
b 81
 
5.9%
8 48
 
3.5%
Other values (7) 219
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 773
56.5%
Lowercase Letter 443
32.4%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 241
31.2%
4 152
19.7%
3 84
 
10.9%
5 82
 
10.6%
8 48
 
6.2%
1 46
 
6.0%
2 45
 
5.8%
9 44
 
5.7%
7 19
 
2.5%
6 12
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 126
28.4%
c 100
22.6%
a 83
18.7%
b 81
18.3%
d 28
 
6.3%
f 25
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 925
67.6%
Latin 443
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 241
26.1%
4 152
16.4%
- 152
16.4%
3 84
 
9.1%
5 82
 
8.9%
8 48
 
5.2%
1 46
 
5.0%
2 45
 
4.9%
9 44
 
4.8%
7 19
 
2.1%
Latin
ValueCountFrequency (%)
e 126
28.4%
c 100
22.6%
a 83
18.7%
b 81
18.3%
d 28
 
6.3%
f 25
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 241
17.6%
4 152
11.1%
- 152
11.1%
e 126
9.2%
c 100
7.3%
3 84
 
6.1%
a 83
 
6.1%
5 82
 
6.0%
b 81
 
5.9%
8 48
 
3.5%
Other values (7) 219
16.0%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:58:48.906127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7
Min length5

Characters and Unicode

Total characters266
Distinct characters62
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

Unique38 ?
Unique (%)100.0%

Sample

1st row동인유치원
2nd row윤진유치원
3rd row경하유치원
4th row선경유치원
5th row성산유치원
ValueCountFrequency (%)
동인유치원 1
 
2.6%
인애유치원 1
 
2.6%
서울용곡초등학교병설유치원 1
 
2.6%
선화유치원 1
 
2.6%
청구이화유치원 1
 
2.6%
동심유치원 1
 
2.6%
아이조아유치원 1
 
2.6%
현정유치원 1
 
2.6%
경원유치원 1
 
2.6%
서울신자초등학교병설유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-14T02:58:49.199449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
등 8
 
3.0%
병 8
 
3.0%
서 8
 
3.0%
초 8
 
3.0%
학 8
 
3.0%
교 8
 
3.0%
설 8
 
3.0%
Other values (52) 94
35.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 266
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
등 8
 
3.0%
병 8
 
3.0%
서 8
 
3.0%
초 8
 
3.0%
학 8
 
3.0%
교 8
 
3.0%
설 8
 
3.0%
Other values (52) 94
35.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 266
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
등 8
 
3.0%
병 8
 
3.0%
서 8
 
3.0%
초 8
 
3.0%
학 8
 
3.0%
교 8
 
3.0%
설 8
 
3.0%
Other values (52) 94
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 266
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 40
15.0%
유 38
14.3%
치 38
14.3%
등 8
 
3.0%
병 8
 
3.0%
서 8
 
3.0%
초 8
 
3.0%
학 8
 
3.0%
교 8
 
3.0%
설 8
 
3.0%
Other values (52) 94
35.3%

설립유형
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
23 
공립(병설)
8 
사립(법인)
7 

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(법인)
5th row사립(법인)

Common Values

ValueCountFrequency (%)
사립(사인) 23
60.5%
공립(병설) 8
 
21.1%
사립(법인) 7
 
18.4%

Length

2024-03-14T02:58:49.298336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:58:49.379368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 23
60.5%
공립(병설 8
 
21.1%
사립(법인 7
 
18.4%

교실수
Categorical

Distinct8
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
3개
12 
4개
8 
5개
6 
6개
5 
2개
4 
Other values (3)
3 

Length

Max length3
Median length2
Mean length2.0263158
Min length2

Unique

Unique3 ?
Unique (%)7.9%

Sample

1st row2개
2nd row2개
3rd row3개
4th row6개
5th row3개

Common Values

ValueCountFrequency (%)
3개 12
31.6%
4개 8
21.1%
5개 6
15.8%
6개 5
13.2%
2개 4
 
10.5%
9개 1
 
2.6%
12개 1
 
2.6%
7개 1
 
2.6%

Length

2024-03-14T02:58:49.463584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:58:49.562332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3개 12
31.6%
4개 8
21.1%
5개 6
15.8%
6개 5
13.2%
2개 4
 
10.5%
9개 1
 
2.6%
12개 1
 
2.6%
7개 1
 
2.6%

교실면적
Text

Distinct35
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:58:49.763284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0263158
Min length3

Characters and Unicode

Total characters153
Distinct characters10
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

Unique32 ?
Unique (%)84.2%

Sample

1st row99㎡
2nd row115㎡
3rd row200㎡
4th row396㎡
5th row142㎡
ValueCountFrequency (%)
264㎡ 2
 
5.3%
208㎡ 2
 
5.3%
231㎡ 2
 
5.3%
99㎡ 1
 
2.6%
156㎡ 1
 
2.6%
303㎡ 1
 
2.6%
201㎡ 1
 
2.6%
139㎡ 1
 
2.6%
1033㎡ 1
 
2.6%
383㎡ 1
 
2.6%
Other values (25) 25
65.8%
2024-03-14T02:58:50.030764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 38
24.8%
2 22
14.4%
3 18
11.8%
1 18
11.8%
6 11
 
7.2%
4 11
 
7.2%
0 11
 
7.2%
8 9
 
5.9%
5 8
 
5.2%
9 7
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
75.2%
Other Symbol 38
 
24.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 22
19.1%
3 18
15.7%
1 18
15.7%
6 11
9.6%
4 11
9.6%
0 11
9.6%
8 9
7.8%
5 8
 
7.0%
9 7
 
6.1%
Other Symbol
ValueCountFrequency (%)
㎡ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 153
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 38
24.8%
2 22
14.4%
3 18
11.8%
1 18
11.8%
6 11
 
7.2%
4 11
 
7.2%
0 11
 
7.2%
8 9
 
5.9%
5 8
 
5.2%
9 7
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
75.2%
CJK Compat 38
 
24.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 38
100.0%
ASCII
ValueCountFrequency (%)
2 22
19.1%
3 18
15.7%
1 18
15.7%
6 11
9.6%
4 11
9.6%
0 11
9.6%
8 9
7.8%
5 8
 
7.0%
9 7
 
6.1%

체육장
Categorical

Distinct18
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
㎡
20 
0㎡
 
2
193㎡
 
1
113㎡
 
1
92㎡
 
1
Other values (13)
13 

Length

Max length4
Median length1
Mean length2.1578947
Min length1

Unique

Unique16 ?
Unique (%)42.1%

Sample

1st row109㎡
2nd row115㎡
3rd row㎡
4th row㎡
5th row193㎡

Common Values

ValueCountFrequency (%)
㎡ 20
52.6%
0㎡ 2
 
5.3%
193㎡ 1
 
2.6%
113㎡ 1
 
2.6%
92㎡ 1
 
2.6%
284㎡ 1
 
2.6%
66㎡ 1
 
2.6%
182㎡ 1
 
2.6%
115㎡ 1
 
2.6%
109㎡ 1
 
2.6%
Other values (8) 8
 
21.1%

Length

2024-03-14T02:58:50.145827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㎡ 20
52.6%
0㎡ 2
 
5.3%
99㎡ 1
 
2.6%
67㎡ 1
 
2.6%
166㎡ 1
 
2.6%
40㎡ 1
 
2.6%
72㎡ 1
 
2.6%
100㎡ 1
 
2.6%
125㎡ 1
 
2.6%
109㎡ 1
 
2.6%
Other values (8) 8
 
21.1%

보건/위생공간
Text

Distinct25
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:58:50.258196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7894737
Min length2

Characters and Unicode

Total characters106
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

Unique20 ?
Unique (%)52.6%

Sample

1st row16㎡
2nd row0㎡
3rd row18㎡
4th row66㎡
5th row7㎡
ValueCountFrequency (%)
0㎡ 10
26.3%
25㎡ 2
 
5.3%
20㎡ 2
 
5.3%
80㎡ 2
 
5.3%
10㎡ 2
 
5.3%
11㎡ 1
 
2.6%
16㎡ 1
 
2.6%
34㎡ 1
 
2.6%
31㎡ 1
 
2.6%
26㎡ 1
 
2.6%
Other values (15) 15
39.5%
2024-03-14T02:58:50.480076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 38
35.8%
0 20
18.9%
1 12
 
11.3%
4 7
 
6.6%
2 6
 
5.7%
5 6
 
5.7%
6 5
 
4.7%
3 5
 
4.7%
8 4
 
3.8%
7 2
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 68
64.2%
Other Symbol 38
35.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
29.4%
1 12
17.6%
4 7
 
10.3%
2 6
 
8.8%
5 6
 
8.8%
6 5
 
7.4%
3 5
 
7.4%
8 4
 
5.9%
7 2
 
2.9%
9 1
 
1.5%
Other Symbol
ValueCountFrequency (%)
㎡ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 38
35.8%
0 20
18.9%
1 12
 
11.3%
4 7
 
6.6%
2 6
 
5.7%
5 6
 
5.7%
6 5
 
4.7%
3 5
 
4.7%
8 4
 
3.8%
7 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68
64.2%
CJK Compat 38
35.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 38
100.0%
ASCII
ValueCountFrequency (%)
0 20
29.4%
1 12
17.6%
4 7
 
10.3%
2 6
 
8.8%
5 6
 
8.8%
6 5
 
7.4%
3 5
 
7.4%
8 4
 
5.9%
7 2
 
2.9%
9 1
 
1.5%

조리실/급식공간
Text

Distinct28
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:58:50.610162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.0789474
Min length2

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

Unique24 ?
Unique (%)63.2%

Sample

1st row0㎡
2nd row0㎡
3rd row15㎡
4th row301㎡
5th row444㎡
ValueCountFrequency (%)
0㎡ 8
21.1%
66㎡ 2
 
5.3%
26㎡ 2
 
5.3%
20㎡ 2
 
5.3%
33㎡ 1
 
2.6%
387㎡ 1
 
2.6%
44㎡ 1
 
2.6%
78㎡ 1
 
2.6%
39㎡ 1
 
2.6%
218㎡ 1
 
2.6%
Other values (18) 18
47.4%
2024-03-14T02:58:50.844915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 38
32.5%
0 15
 
12.8%
2 10
 
8.5%
4 9
 
7.7%
6 8
 
6.8%
9 8
 
6.8%
1 8
 
6.8%
3 8
 
6.8%
8 6
 
5.1%
5 5
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79
67.5%
Other Symbol 38
32.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
19.0%
2 10
12.7%
4 9
11.4%
6 8
10.1%
9 8
10.1%
1 8
10.1%
3 8
10.1%
8 6
 
7.6%
5 5
 
6.3%
7 2
 
2.5%
Other Symbol
ValueCountFrequency (%)
㎡ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 38
32.5%
0 15
 
12.8%
2 10
 
8.5%
4 9
 
7.7%
6 8
 
6.8%
9 8
 
6.8%
1 8
 
6.8%
3 8
 
6.8%
8 6
 
5.1%
5 5
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79
67.5%
CJK Compat 38
32.5%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 38
100.0%
ASCII
ValueCountFrequency (%)
0 15
19.0%
2 10
12.7%
4 9
11.4%
6 8
10.1%
9 8
10.1%
1 8
10.1%
3 8
10.1%
8 6
 
7.6%
5 5
 
6.3%
7 2
 
2.5%

기타공간
Text

Distinct25
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:58:50.968315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7368421
Min length2

Characters and Unicode

Total characters104
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

Unique20 ?
Unique (%)52.6%

Sample

1st row48㎡
2nd row4㎡
3rd row6㎡
4th row0㎡
5th row37㎡
ValueCountFrequency (%)
0㎡ 10
26.3%
10㎡ 2
 
5.3%
15㎡ 2
 
5.3%
25㎡ 2
 
5.3%
9㎡ 2
 
5.3%
24㎡ 1
 
2.6%
48㎡ 1
 
2.6%
26㎡ 1
 
2.6%
281㎡ 1
 
2.6%
28㎡ 1
 
2.6%
Other values (15) 15
39.5%
2024-03-14T02:58:51.238340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 38
36.5%
0 14
 
13.5%
1 11
 
10.6%
2 8
 
7.7%
8 8
 
7.7%
6 6
 
5.8%
5 5
 
4.8%
3 5
 
4.8%
9 3
 
2.9%
7 3
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
63.5%
Other Symbol 38
36.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
21.2%
1 11
16.7%
2 8
12.1%
8 8
12.1%
6 6
9.1%
5 5
 
7.6%
3 5
 
7.6%
9 3
 
4.5%
7 3
 
4.5%
4 3
 
4.5%
Other Symbol
ValueCountFrequency (%)
㎡ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 38
36.5%
0 14
 
13.5%
1 11
 
10.6%
2 8
 
7.7%
8 8
 
7.7%
6 6
 
5.8%
5 5
 
4.8%
3 5
 
4.8%
9 3
 
2.9%
7 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66
63.5%
CJK Compat 38
36.5%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 38
100.0%
ASCII
ValueCountFrequency (%)
0 14
21.2%
1 11
16.7%
2 8
12.1%
8 8
12.1%
6 6
9.1%
5 5
 
7.6%
3 5
 
7.6%
9 3
 
4.5%
7 3
 
4.5%
4 3
 
4.5%

공시차수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20231
25 
20191
4 
20221
4 
20181
3 
20201
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20181
2nd row20181
3rd row20181
4th row20231
5th row20231

Common Values

ValueCountFrequency (%)
20231 25
65.8%
20191 4
 
10.5%
20221 4
 
10.5%
20181 3
 
7.9%
20201 2
 
5.3%

Length

2024-03-14T02:58:51.337343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:58:51.419668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 25
65.8%
20191 4
 
10.5%
20221 4
 
10.5%
20181 3
 
7.9%
20201 2
 
5.3%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-14T02:58:51.599730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.052632
Min length16

Characters and Unicode

Total characters724
Distinct characters52
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

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 자양로30길 6
2nd row서울특별시 광진구 아차산로21길 15
3rd row서울특별시 광진구 동일로72길 9
4th row서울특별시 광진구 뚝섬로66길 14
5th row서울특별시 광진구 뚝섬로59길 18
ValueCountFrequency (%)
서울특별시 38
25.0%
광진구 38
25.0%
영화사로 2
 
1.3%
65 2
 
1.3%
아차산로 2
 
1.3%
광나루로 2
 
1.3%
긴고랑로7길 1
 
0.7%
46 1
 
0.7%
군자로12길 1
 
0.7%
503-23 1
 
0.7%
Other values (64) 64
42.1%
2024-03-14T02:58:51.919885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.7%
광 43
 
5.9%
서 38
 
5.2%
특 38
 
5.2%
별 38
 
5.2%
시 38
 
5.2%
진 38
 
5.2%
구 38
 
5.2%
울 38
 
5.2%
로 38
 
5.2%
Other values (42) 263
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 464
64.1%
Decimal Number 140
 
19.3%
Space Separator 114
 
15.7%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 43
9.3%
서 38
8.2%
특 38
8.2%
별 38
8.2%
시 38
8.2%
진 38
8.2%
구 38
8.2%
울 38
8.2%
로 38
8.2%
길 26
 
5.6%
Other values (30) 91
19.6%
Decimal Number
ValueCountFrequency (%)
1 23
16.4%
5 22
15.7%
2 19
13.6%
4 19
13.6%
6 17
12.1%
3 12
8.6%
0 9
 
6.4%
7 8
 
5.7%
9 6
 
4.3%
8 5
 
3.6%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 464
64.1%
Common 260
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 43
9.3%
서 38
8.2%
특 38
8.2%
별 38
8.2%
시 38
8.2%
진 38
8.2%
구 38
8.2%
울 38
8.2%
로 38
8.2%
길 26
 
5.6%
Other values (30) 91
19.6%
Common
ValueCountFrequency (%)
114
43.8%
1 23
 
8.8%
5 22
 
8.5%
2 19
 
7.3%
4 19
 
7.3%
6 17
 
6.5%
3 12
 
4.6%
0 9
 
3.5%
7 8
 
3.1%
- 6
 
2.3%
Other values (2) 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 464
64.1%
ASCII 260
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
43.8%
1 23
 
8.8%
5 22
 
8.5%
2 19
 
7.3%
4 19
 
7.3%
6 17
 
6.5%
3 12
 
4.6%
0 9
 
3.5%
7 8
 
3.1%
- 6
 
2.3%
Other values (2) 11
 
4.2%
Hangul
ValueCountFrequency (%)
광 43
9.3%
서 38
8.2%
특 38
8.2%
별 38
8.2%
시 38
8.2%
진 38
8.2%
구 38
8.2%
울 38
8.2%
로 38
8.2%
길 26
 
5.6%
Other values (30) 91
19.6%

Correlations

2024-03-14T02:58:52.003657image/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
설립유형1.0001.0001.0000.3800.0000.7720.9620.8820.0000.2181.000
교실수1.0001.0000.3801.0000.9540.8000.9300.9360.8530.0001.000
교실면적1.0001.0000.0000.9541.0000.9540.9710.9830.9810.8801.000
체육장1.0001.0000.7720.8000.9541.0000.8770.9490.9460.0001.000
보건/위생공간1.0001.0000.9620.9300.9710.8771.0000.9610.9070.0001.000
조리실/급식공간1.0001.0000.8820.9360.9830.9490.9611.0000.9080.0001.000
기타공간1.0001.0000.0000.8530.9810.9460.9070.9081.0000.0001.000
공시차수1.0001.0000.2180.0000.8800.0000.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T02:58:52.100018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형체육장교실수
공시차수1.0000.1540.0000.000
설립유형0.1541.0000.3690.232
체육장0.0000.3691.0000.393
교실수0.0000.2320.3931.000
2024-03-14T02:58:52.169700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수체육장공시차수
설립유형1.0000.2320.3690.154
교실수0.2321.0000.3930.000
체육장0.3690.3931.0000.000
공시차수0.1540.0000.0001.000

Missing values

2024-03-14T02:58:47.795705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T02:58:47.939235image/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
0서울특별시교육청성동광진교육지원청1ecec08c-f504-b044-e053-0a32095ab044동인유치원사립(사인)2개99㎡109㎡16㎡0㎡48㎡20181서울특별시 광진구 자양로30길 6
1서울특별시교육청성동광진교육지원청1ecec08c-f7d8-b044-e053-0a32095ab044윤진유치원사립(사인)2개115㎡115㎡0㎡0㎡4㎡20181서울특별시 광진구 아차산로21길 15
2서울특별시교육청성동광진교육지원청1ecec08d-0754-b044-e053-0a32095ab044경하유치원사립(사인)3개200㎡㎡18㎡15㎡6㎡20181서울특별시 광진구 동일로72길 9
3서울특별시교육청성동광진교육지원청1ecec08c-eee1-b044-e053-0a32095ab044선경유치원사립(법인)6개396㎡㎡66㎡301㎡0㎡20231서울특별시 광진구 뚝섬로66길 14
4서울특별시교육청성동광진교육지원청1ecec08c-eee2-b044-e053-0a32095ab044성산유치원사립(법인)3개142㎡193㎡7㎡444㎡37㎡20231서울특별시 광진구 뚝섬로59길 18
5서울특별시교육청성동광진교육지원청1ecec08c-eee4-b044-e053-0a32095ab044프라임유치원사립(사인)9개665㎡㎡76㎡387㎡68㎡20231서울특별시 광진구 광나루로56길 5
6서울특별시교육청성동광진교육지원청1ecec08c-f0da-b044-e053-0a32095ab044서울자양초등학교병설유치원공립(병설)5개325㎡113㎡49㎡44㎡25㎡20231서울특별시 광진구 아차산로44길 26
7서울특별시교육청성동광진교육지원청1ecec08c-eee3-b044-e053-0a32095ab044자양유치원사립(사인)3개208㎡㎡0㎡0㎡0㎡20201서울특별시 광진구 자양로5길 36
8서울특별시교육청성동광진교육지원청1ecec08c-f562-b044-e053-0a32095ab044예일유치원사립(사인)4개352㎡㎡0㎡10㎡122㎡20191서울특별시 광진구 천호대로111길 41
9서울특별시교육청성동광진교육지원청1ecec08c-f1c6-b044-e053-0a32095ab044광남유치원사립(사인)6개348㎡92㎡30㎡238㎡9㎡20231서울특별시 광진구 아차산로70길 40
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
28서울특별시교육청성동광진교육지원청1ecec08d-0adc-b044-e053-0a32095ab044미파유치원사립(사인)3개156㎡100㎡20㎡20㎡108㎡20191서울특별시 광진구 용마산로 185
29서울특별시교육청성동광진교육지원청1ecec08d-066f-b044-e053-0a32095ab044서울신자초등학교병설유치원공립(병설)3개165㎡㎡51㎡66㎡66㎡20231서울특별시 광진구 뚝섬로46길 64
30서울특별시교육청성동광진교육지원청1ecec08d-0840-b044-e053-0a32095ab044한일유치원사립(사인)4개280㎡㎡0㎡26㎡0㎡20231서울특별시 광진구 뚝섬로35길 16-20
31서울특별시교육청성동광진교육지원청1ecec08d-0add-b044-e053-0a32095ab044서울구의초등학교병설유치원공립(병설)4개264㎡72㎡0㎡385㎡0㎡20231서울특별시 광진구 광나루로30길 49
32서울특별시교육청성동광진교육지원청1ecec08d-0ba1-b044-e053-0a32095ab044서울양진초등학교병설유치원공립(병설)3개191㎡40㎡80㎡60㎡30㎡20231서울특별시 광진구 워커힐로 32
33서울특별시교육청성동광진교육지원청1ecec08d-0e4a-b044-e053-0a32095ab044선양유치원사립(사인)7개443㎡166㎡35㎡28㎡16㎡20231서울특별시 광진구 동일로 256-1
34서울특별시교육청성동광진교육지원청1ecec08d-0f37-b044-e053-0a32095ab044샬롬유치원사립(법인)3개130㎡㎡26㎡218㎡9㎡20221서울특별시 광진구 아차산로65길 65
35서울특별시교육청성동광진교육지원청74e1e803-e7d0-4cb0-a8d9-087fb5e7f80f서울중광초등학교병설유치원공립(병설)4개268㎡67㎡31㎡39㎡28㎡20231서울특별시 광진구 긴고랑로13길 59
36서울특별시교육청성동광진교육지원청ccb6c0b0-a68a-4b86-8fe2-58f35a3c1952서울용곡초등학교병설유치원공립(병설)5개403㎡972㎡100㎡78㎡281㎡20231서울특별시 광진구 용마산로22길 82
37서울특별시교육청성동광진교육지원청db6bc219-29b5-48d3-af79-797756d3a7a6서울신양초등학교병설유치원공립(병설)5개418㎡0㎡80㎡546㎡33㎡20231서울특별시 광진구 능동로 42