Overview

Dataset statistics

Number of variables13
Number of observations39
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory108.4 B

Variable types

Categorical5
Text8

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-20649/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
교실수 is highly overall correlated with 공시차수High correlation
공시차수 is highly overall correlated with 교실수High correlation
공시차수 is highly imbalanced (52.5%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 19:17:13.833443
Analysis finished2024-03-13 19:17:14.474251
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
서울특별시교육청
39 

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 39
100.0%

Length

2024-03-14T04:17:14.522991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:17:14.597016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 39
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
동작관악교육지원청
39 

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 39
100.0%

Length

2024-03-14T04:17:14.668607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:17:14.737612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동작관악교육지원청 39
100.0%

유치원코드
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T04:17:14.906942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1404
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

Unique39 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f8ab-b044-e053-0a32095ab044
2nd row1ecec08c-fa84-b044-e053-0a32095ab044
3rd row1ecec08c-fc3b-b044-e053-0a32095ab044
4th row1ecec08c-fcf4-b044-e053-0a32095ab044
5th row1ecec08d-029c-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f8ab-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-04cb-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08f8-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-08fa-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09ab-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d68-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d69-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6a-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0d6b-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0571-b044-e053-0a32095ab044 1
 
2.6%
Other values (29) 29
74.4%
2024-03-14T04:17:15.176389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
3 87
 
6.2%
a 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 786
56.0%
Lowercase Letter 462
32.9%
Dash Punctuation 156
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 226
28.8%
4 155
19.7%
3 87
 
11.1%
5 79
 
10.1%
8 63
 
8.0%
1 49
 
6.2%
9 47
 
6.0%
2 44
 
5.6%
6 20
 
2.5%
7 16
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 942
67.1%
Latin 462
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 226
24.0%
- 156
16.6%
4 155
16.5%
3 87
 
9.2%
5 79
 
8.4%
8 63
 
6.7%
1 49
 
5.2%
9 47
 
5.0%
2 44
 
4.7%
6 20
 
2.1%
Latin
ValueCountFrequency (%)
e 115
24.9%
c 99
21.4%
a 87
18.8%
b 82
17.7%
f 40
 
8.7%
d 39
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 226
16.1%
- 156
11.1%
4 155
11.0%
e 115
8.2%
c 99
 
7.1%
3 87
 
6.2%
a 87
 
6.2%
b 82
 
5.8%
5 79
 
5.6%
8 63
 
4.5%
Other values (7) 255
18.2%

유치원명
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T04:17:15.383518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length7.7692308
Min length5

Characters and Unicode

Total characters303
Distinct characters63
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

Unique39 ?
Unique (%)100.0%

Sample

1st row서울청룡초등학교병설유치원
2nd row은아유치원
3rd row서울유치원
4th row나랑유치원
5th row꿈나라유치원
ValueCountFrequency (%)
서울청룡초등학교병설유치원 1
 
2.6%
서울신우유치원 1
 
2.6%
명성유치원 1
 
2.6%
서울난곡초등학교병설유치원 1
 
2.6%
건영유치원 1
 
2.6%
배꽃유치원 1
 
2.6%
새소슬유치원 1
 
2.6%
새싹유치원 1
 
2.6%
서울원당초등학교병설유치원 1
 
2.6%
애동유치원 1
 
2.6%
Other values (29) 29
74.4%
2024-03-14T04:17:15.672545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
초 12
 
4.0%
등 12
 
4.0%
학 12
 
4.0%
교 12
 
4.0%
병 12
 
4.0%
Other values (53) 90
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
초 12
 
4.0%
등 12
 
4.0%
학 12
 
4.0%
교 12
 
4.0%
병 12
 
4.0%
Other values (53) 90
29.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
초 12
 
4.0%
등 12
 
4.0%
학 12
 
4.0%
교 12
 
4.0%
병 12
 
4.0%
Other values (53) 90
29.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 41
13.5%
유 39
12.9%
치 39
12.9%
서 17
 
5.6%
울 17
 
5.6%
초 12
 
4.0%
등 12
 
4.0%
학 12
 
4.0%
교 12
 
4.0%
병 12
 
4.0%
Other values (53) 90
29.7%

설립유형
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
사립(사인)
20 
공립(병설)
12 
공립(단설)
4 
사립(법인)
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(법인)
5th row사립(사인)

Common Values

ValueCountFrequency (%)
사립(사인) 20
51.3%
공립(병설) 12
30.8%
공립(단설) 4
 
10.3%
사립(법인) 3
 
7.7%

Length

2024-03-14T04:17:15.775388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:17:15.861025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
51.3%
공립(병설 12
30.8%
공립(단설 4
 
10.3%
사립(법인 3
 
7.7%

교실수
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
7개
8 
4개
6 
5개
6 
3개
5 
6개
4 
Other values (8)
10 

Length

Max length3
Median length2
Mean length2.1538462
Min length2

Unique

Unique6 ?
Unique (%)15.4%

Sample

1st row3개
2nd row19개
3rd row4개
4th row5개
5th row10개

Common Values

ValueCountFrequency (%)
7개 8
20.5%
4개 6
15.4%
5개 6
15.4%
3개 5
12.8%
6개 4
10.3%
10개 2
 
5.1%
8개 2
 
5.1%
19개 1
 
2.6%
11개 1
 
2.6%
2개 1
 
2.6%
Other values (3) 3
 
7.7%

Length

2024-03-14T04:17:15.965945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
7개 8
20.5%
4개 6
15.4%
5개 6
15.4%
3개 5
12.8%
6개 4
10.3%
10개 2
 
5.1%
8개 2
 
5.1%
19개 1
 
2.6%
11개 1
 
2.6%
2개 1
 
2.6%
Other values (3) 3
 
7.7%

교실면적
Text

Distinct36
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T04:17:16.135066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.1025641
Min length4

Characters and Unicode

Total characters160
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

Unique33 ?
Unique (%)84.6%

Sample

1st row198㎡
2nd row1290㎡
3rd row330㎡
4th row216㎡
5th row410㎡
ValueCountFrequency (%)
330㎡ 2
 
5.1%
385㎡ 2
 
5.1%
390㎡ 2
 
5.1%
198㎡ 1
 
2.6%
545㎡ 1
 
2.6%
307㎡ 1
 
2.6%
562㎡ 1
 
2.6%
1085㎡ 1
 
2.6%
515㎡ 1
 
2.6%
508㎡ 1
 
2.6%
Other values (26) 26
66.7%
2024-03-14T04:17:16.402690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 39
24.4%
5 21
13.1%
2 18
11.2%
3 17
10.6%
0 13
 
8.1%
8 11
 
6.9%
4 11
 
6.9%
9 10
 
6.2%
1 10
 
6.2%
6 7
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 121
75.6%
Other Symbol 39
 
24.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21
17.4%
2 18
14.9%
3 17
14.0%
0 13
10.7%
8 11
9.1%
4 11
9.1%
9 10
8.3%
1 10
8.3%
6 7
 
5.8%
7 3
 
2.5%
Other Symbol
ValueCountFrequency (%)
㎡ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 39
24.4%
5 21
13.1%
2 18
11.2%
3 17
10.6%
0 13
 
8.1%
8 11
 
6.9%
4 11
 
6.9%
9 10
 
6.2%
1 10
 
6.2%
6 7
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121
75.6%
CJK Compat 39
 
24.4%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 39
100.0%
ASCII
ValueCountFrequency (%)
5 21
17.4%
2 18
14.9%
3 17
14.0%
0 13
10.7%
8 11
9.1%
4 11
9.1%
9 10
8.3%
1 10
8.3%
6 7
 
5.8%
7 3
 
2.5%

체육장
Text

Distinct20
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T04:17:16.517733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.5128205
Min length1

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

Unique17 ?
Unique (%)43.6%

Sample

1st row132㎡
2nd row㎡
3rd row㎡
4th row㎡
5th row㎡
ValueCountFrequency (%)
㎡ 16
41.0%
0㎡ 3
 
7.7%
66㎡ 3
 
7.7%
120㎡ 1
 
2.6%
132㎡ 1
 
2.6%
210㎡ 1
 
2.6%
62㎡ 1
 
2.6%
140㎡ 1
 
2.6%
198㎡ 1
 
2.6%
190㎡ 1
 
2.6%
Other values (10) 10
25.6%
2024-03-14T04:17:16.727139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 39
39.8%
1 16
16.3%
0 11
 
11.2%
6 10
 
10.2%
2 6
 
6.1%
3 4
 
4.1%
9 3
 
3.1%
4 3
 
3.1%
7 2
 
2.0%
5 2
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59
60.2%
Other Symbol 39
39.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
27.1%
0 11
18.6%
6 10
16.9%
2 6
 
10.2%
3 4
 
6.8%
9 3
 
5.1%
4 3
 
5.1%
7 2
 
3.4%
5 2
 
3.4%
8 2
 
3.4%
Other Symbol
ValueCountFrequency (%)
㎡ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 39
39.8%
1 16
16.3%
0 11
 
11.2%
6 10
 
10.2%
2 6
 
6.1%
3 4
 
4.1%
9 3
 
3.1%
4 3
 
3.1%
7 2
 
2.0%
5 2
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59
60.2%
CJK Compat 39
39.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 39
100.0%
ASCII
ValueCountFrequency (%)
1 16
27.1%
0 11
18.6%
6 10
16.9%
2 6
 
10.2%
3 4
 
6.8%
9 3
 
5.1%
4 3
 
5.1%
7 2
 
3.4%
5 2
 
3.4%
8 2
 
3.4%

보건/위생공간
Text

Distinct29
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T04:17:16.856466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0512821
Min length2

Characters and Unicode

Total characters119
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 (%)61.5%

Sample

1st row132㎡
2nd row118㎡
3rd row30㎡
4th row24㎡
5th row45㎡
ValueCountFrequency (%)
0㎡ 7
 
17.9%
18㎡ 2
 
5.1%
20㎡ 2
 
5.1%
66㎡ 2
 
5.1%
45㎡ 2
 
5.1%
43㎡ 1
 
2.6%
72㎡ 1
 
2.6%
32㎡ 1
 
2.6%
34㎡ 1
 
2.6%
194㎡ 1
 
2.6%
Other values (19) 19
48.7%
2024-03-14T04:17:17.090585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 39
32.8%
1 14
 
11.8%
0 13
 
10.9%
2 10
 
8.4%
4 9
 
7.6%
3 9
 
7.6%
5 7
 
5.9%
8 6
 
5.0%
6 6
 
5.0%
7 5
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80
67.2%
Other Symbol 39
32.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
17.5%
0 13
16.2%
2 10
12.5%
4 9
11.2%
3 9
11.2%
5 7
8.8%
8 6
7.5%
6 6
7.5%
7 5
 
6.2%
9 1
 
1.2%
Other Symbol
ValueCountFrequency (%)
㎡ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 39
32.8%
1 14
 
11.8%
0 13
 
10.9%
2 10
 
8.4%
4 9
 
7.6%
3 9
 
7.6%
5 7
 
5.9%
8 6
 
5.0%
6 6
 
5.0%
7 5
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80
67.2%
CJK Compat 39
32.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 39
100.0%
ASCII
ValueCountFrequency (%)
1 14
17.5%
0 13
16.2%
2 10
12.5%
4 9
11.2%
3 9
11.2%
5 7
8.8%
8 6
7.5%
6 6
7.5%
7 5
 
6.2%
9 1
 
1.2%

조리실/급식공간
Text

Distinct28
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T04:17:17.232346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3333333
Min length2

Characters and Unicode

Total characters130
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 (%)61.5%

Sample

1st row66㎡
2nd row613㎡
3rd row170㎡
4th row49㎡
5th row343㎡
ValueCountFrequency (%)
0㎡ 7
 
17.9%
66㎡ 4
 
10.3%
113㎡ 2
 
5.1%
33㎡ 2
 
5.1%
180㎡ 1
 
2.6%
60㎡ 1
 
2.6%
1586㎡ 1
 
2.6%
433㎡ 1
 
2.6%
62㎡ 1
 
2.6%
106㎡ 1
 
2.6%
Other values (18) 18
46.2%
2024-03-14T04:17:17.517760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 39
30.0%
1 19
14.6%
6 18
13.8%
0 14
 
10.8%
3 13
 
10.0%
2 6
 
4.6%
4 5
 
3.8%
8 5
 
3.8%
7 4
 
3.1%
9 4
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 91
70.0%
Other Symbol 39
30.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
20.9%
6 18
19.8%
0 14
15.4%
3 13
14.3%
2 6
 
6.6%
4 5
 
5.5%
8 5
 
5.5%
7 4
 
4.4%
9 4
 
4.4%
5 3
 
3.3%
Other Symbol
ValueCountFrequency (%)
㎡ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 130
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 39
30.0%
1 19
14.6%
6 18
13.8%
0 14
 
10.8%
3 13
 
10.0%
2 6
 
4.6%
4 5
 
3.8%
8 5
 
3.8%
7 4
 
3.1%
9 4
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
70.0%
CJK Compat 39
30.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 39
100.0%
ASCII
ValueCountFrequency (%)
1 19
20.9%
6 18
19.8%
0 14
15.4%
3 13
14.3%
2 6
 
6.6%
4 5
 
5.5%
8 5
 
5.5%
7 4
 
4.4%
9 4
 
4.4%
5 3
 
3.3%

기타공간
Text

Distinct34
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T04:17:17.894925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1794872
Min length2

Characters and Unicode

Total characters124
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

Unique29 ?
Unique (%)74.4%

Sample

1st row359㎡
2nd row175㎡
3rd row7㎡
4th row30㎡
5th row29㎡
ValueCountFrequency (%)
33㎡ 2
 
5.1%
66㎡ 2
 
5.1%
20㎡ 2
 
5.1%
30㎡ 2
 
5.1%
0㎡ 2
 
5.1%
566㎡ 1
 
2.6%
138㎡ 1
 
2.6%
36㎡ 1
 
2.6%
34㎡ 1
 
2.6%
35㎡ 1
 
2.6%
Other values (24) 24
61.5%
2024-03-14T04:17:18.186362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 39
31.5%
3 13
 
10.5%
2 12
 
9.7%
1 12
 
9.7%
0 10
 
8.1%
6 8
 
6.5%
5 8
 
6.5%
4 7
 
5.6%
7 6
 
4.8%
8 5
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85
68.5%
Other Symbol 39
31.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 13
15.3%
2 12
14.1%
1 12
14.1%
0 10
11.8%
6 8
9.4%
5 8
9.4%
4 7
8.2%
7 6
7.1%
8 5
 
5.9%
9 4
 
4.7%
Other Symbol
ValueCountFrequency (%)
㎡ 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 39
31.5%
3 13
 
10.5%
2 12
 
9.7%
1 12
 
9.7%
0 10
 
8.1%
6 8
 
6.5%
5 8
 
6.5%
4 7
 
5.6%
7 6
 
4.8%
8 5
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85
68.5%
CJK Compat 39
31.5%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 39
100.0%
ASCII
ValueCountFrequency (%)
3 13
15.3%
2 12
14.1%
1 12
14.1%
0 10
11.8%
6 8
9.4%
5 8
9.4%
4 7
8.2%
7 6
7.1%
8 5
 
5.9%
9 4
 
4.7%

공시차수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
20231
31 
20181
 
3
20191
 
3
20201
 
1
20211
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.1%

Sample

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

Common Values

ValueCountFrequency (%)
20231 31
79.5%
20181 3
 
7.7%
20191 3
 
7.7%
20201 1
 
2.6%
20211 1
 
2.6%

Length

2024-03-14T04:17:18.299825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T04:17:18.406941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 31
79.5%
20181 3
 
7.7%
20191 3
 
7.7%
20201 1
 
2.6%
20211 1
 
2.6%

주소
Text

Distinct37
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-03-14T04:17:18.590363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length17.897436
Min length16

Characters and Unicode

Total characters698
Distinct characters63
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

Unique35 ?
Unique (%)89.7%

Sample

1st row서울특별시 관악구 관악로5길 61
2nd row서울특별시 관악구 남부순환로246길 25
3rd row서울특별시 관악구 관악로37길 20
4th row서울특별시 관악구 봉천로33길 57
5th row서울특별시 관악구 난곡로 42
ValueCountFrequency (%)
서울특별시 39
25.0%
관악구 39
25.0%
은천로 3
 
1.9%
12 3
 
1.9%
청림5길 2
 
1.3%
22 2
 
1.3%
93 2
 
1.3%
114 2
 
1.3%
20 2
 
1.3%
102 1
 
0.6%
Other values (61) 61
39.1%
2024-03-14T04:17:18.890630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
16.8%
악 43
 
6.2%
관 43
 
6.2%
구 40
 
5.7%
울 39
 
5.6%
서 39
 
5.6%
시 39
 
5.6%
별 39
 
5.6%
특 39
 
5.6%
길 29
 
4.2%
Other values (53) 231
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
65.5%
Decimal Number 123
 
17.6%
Space Separator 117
 
16.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
악 43
9.4%
관 43
9.4%
구 40
8.8%
울 39
8.5%
서 39
8.5%
시 39
8.5%
별 39
8.5%
특 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Decimal Number
ValueCountFrequency (%)
1 21
17.1%
2 20
16.3%
5 17
13.8%
4 16
13.0%
3 12
9.8%
9 10
8.1%
6 10
8.1%
0 8
 
6.5%
7 5
 
4.1%
8 4
 
3.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
65.5%
Common 241
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
악 43
9.4%
관 43
9.4%
구 40
8.8%
울 39
8.5%
서 39
8.5%
시 39
8.5%
별 39
8.5%
특 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%
Common
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
9 10
 
4.1%
6 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
65.5%
ASCII 241
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
48.5%
1 21
 
8.7%
2 20
 
8.3%
5 17
 
7.1%
4 16
 
6.6%
3 12
 
5.0%
9 10
 
4.1%
6 10
 
4.1%
0 8
 
3.3%
7 5
 
2.1%
Other values (2) 5
 
2.1%
Hangul
ValueCountFrequency (%)
악 43
9.4%
관 43
9.4%
구 40
8.8%
울 39
8.5%
서 39
8.5%
시 39
8.5%
별 39
8.5%
특 39
8.5%
길 29
 
6.3%
로 25
 
5.5%
Other values (41) 82
17.9%

Correlations

2024-03-14T04:17:18.970305image/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
설립유형1.0001.0001.0000.3960.0000.8190.8940.8050.0000.3330.000
교실수1.0001.0000.3961.0000.9700.8150.6210.0000.9500.8640.000
교실면적1.0001.0000.0000.9701.0000.8070.8340.7710.9171.0000.968
체육장1.0001.0000.8190.8150.8071.0000.9720.8030.9860.5740.000
보건/위생공간1.0001.0000.8940.6210.8340.9721.0000.9570.9760.0000.775
조리실/급식공간1.0001.0000.8050.0000.7710.8030.9571.0000.9580.0000.963
기타공간1.0001.0000.0000.9500.9170.9860.9760.9581.0000.0000.930
공시차수1.0001.0000.3330.8641.0000.5740.0000.0000.0001.0000.000
주소1.0001.0000.0000.0000.9680.0000.7750.9630.9300.0001.000
2024-03-14T04:17:19.068552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형교실수
공시차수1.0000.2690.609
설립유형0.2691.0000.187
교실수0.6090.1871.000
2024-03-14T04:17:19.134326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수공시차수
설립유형1.0000.1870.269
교실수0.1871.0000.609
공시차수0.2690.6091.000

Missing values

2024-03-14T04:17:14.293701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T04:17:14.423598image/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
0서울특별시교육청동작관악교육지원청1ecec08c-f8ab-b044-e053-0a32095ab044서울청룡초등학교병설유치원공립(병설)3개198㎡132㎡132㎡66㎡359㎡20231서울특별시 관악구 관악로5길 61
1서울특별시교육청동작관악교육지원청1ecec08c-fa84-b044-e053-0a32095ab044은아유치원사립(사인)19개1290㎡㎡118㎡613㎡175㎡20231서울특별시 관악구 남부순환로246길 25
2서울특별시교육청동작관악교육지원청1ecec08c-fc3b-b044-e053-0a32095ab044서울유치원사립(사인)4개330㎡㎡30㎡170㎡7㎡20231서울특별시 관악구 관악로37길 20
3서울특별시교육청동작관악교육지원청1ecec08c-fcf4-b044-e053-0a32095ab044나랑유치원사립(법인)5개216㎡㎡24㎡49㎡30㎡20231서울특별시 관악구 봉천로33길 57
4서울특별시교육청동작관악교육지원청1ecec08d-029c-b044-e053-0a32095ab044꿈나라유치원사립(사인)10개410㎡㎡45㎡343㎡29㎡20231서울특별시 관악구 난곡로 42
5서울특별시교육청동작관악교육지원청1ecec08d-031c-b044-e053-0a32095ab044서울봉천초등학교병설유치원공립(병설)4개293㎡㎡120㎡66㎡781㎡20231서울특별시 관악구 행운1라길 17
6서울특별시교육청동작관악교육지원청1ecec08c-f1ae-b044-e053-0a32095ab044큰솔유치원사립(사인)7개250㎡291㎡40㎡20㎡215㎡20181서울특별시 관악구 관악로30길 12
7서울특별시교육청동작관악교육지원청1ecec08c-f4c6-b044-e053-0a32095ab044예일유치원사립(사인)4개173㎡㎡0㎡16㎡0㎡20181서울특별시 관악구 낙성대역14길 6
8서울특별시교육청동작관악교육지원청1ecec08d-0c8b-b044-e053-0a32095ab044해슬아유치원사립(사인)10개544㎡104㎡57㎡125㎡248㎡20181서울특별시 관악구 은천로 93
9서울특별시교육청동작관악교육지원청1ecec08c-f3fa-b044-e053-0a32095ab044예닮유치원사립(사인)3개255㎡0㎡0㎡0㎡28㎡20191서울특별시 관악구 신원로3길 59-9
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
29서울특별시교육청동작관악교육지원청1ecec08d-0e1e-b044-e053-0a32095ab044소슬유치원사립(사인)12개984㎡210㎡45㎡106㎡49㎡20231서울특별시 관악구 구암길 46
30서울특별시교육청동작관악교육지원청1ecec08d-0eef-b044-e053-0a32095ab044영그린유치원사립(사인)4개226㎡120㎡18㎡62㎡35㎡20231서울특별시 관악구 참숯5길 12
31서울특별시교육청동작관악교육지원청1ecec08d-0f6e-b044-e053-0a32095ab044서울삼성초등학교병설유치원공립(병설)7개462㎡66㎡66㎡66㎡66㎡20231서울특별시 관악구 대학7길 52
32서울특별시교육청동작관악교육지원청373b3d04-4a0f-4da0-bf9c-df6359eb0fdb서울청림유치원공립(단설)9개464㎡136㎡74㎡0㎡34㎡20231서울특별시 관악구 청림5길 22
33서울특별시교육청동작관악교육지원청4358d8db-7469-48f9-857c-02dbc2fca508서울구암유치원공립(단설)7개330㎡190㎡61㎡433㎡36㎡20231서울특별시 관악구 은천로 93
34서울특별시교육청동작관악교육지원청83817fd0-0833-41c3-9e8f-e368a1545128서울남현유치원공립(단설)8개390㎡198㎡194㎡1586㎡138㎡20231서울특별시 관악구 남현4길 51
35서울특별시교육청동작관악교육지원청888935f2-ff3d-497c-8cc4-96351b70533c서울신봉초등학교병설유치원공립(병설)3개201㎡㎡0㎡0㎡33㎡20231서울특별시 관악구 양녕로6나길 1
36서울특별시교육청동작관악교육지원청d203618d-94ef-4a46-bf53-6a7b4946017d서울당곡초등학교병설유치원공립(병설)3개212㎡140㎡34㎡113㎡11㎡20231서울특별시 관악구 보라매로2길 23
37서울특별시교육청동작관악교육지원청dadf4a8d-771c-43e0-8f65-87c28eb31f4a서울남부초등학교병설유치원공립(병설)4개224㎡62㎡32㎡64㎡15㎡20231서울특별시 관악구 남부순환로163길 14
38서울특별시교육청동작관악교육지원청ea0748a1-62aa-47ee-abcf-784398d6646d서울신림초등학교병설유치원공립(병설)5개388㎡528㎡87㎡66㎡20㎡20231서울특별시 관악구 문성로28길 31