Overview

Dataset statistics

Number of variables13
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory107.2 B

Variable types

Categorical6
Text7

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-20652/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 09:24:06.304424
Analysis finished2024-03-13 09:24:07.609516
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시교육청 60
100.0%

Length

2024-03-13T18:24:07.670808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:24:07.754554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 60
100.0%

교육지원청명
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강동송파교육지원청 60
100.0%

Length

2024-03-13T18:24:07.842279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:24:07.936897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동송파교육지원청 60
100.0%

유치원코드
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T18:24:08.117528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

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

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f04f-b044-e053-0a32095ab044
2nd row1ecec08c-f28a-b044-e053-0a32095ab044
3rd row1ecec08c-fb63-b044-e053-0a32095ab044
4th row1ecec08c-ffbe-b044-e053-0a32095ab044
5th row1ecec08d-0819-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f04f-b044-e053-0a32095ab044 1
 
1.7%
1ecec08c-f28a-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0a0f-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-01d2-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0380-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-0408-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-04b9-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-079c-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-059a-b044-e053-0a32095ab044 1
 
1.7%
1ecec08d-06af-b044-e053-0a32095ab044 1
 
1.7%
Other values (50) 50
83.3%
2024-03-13T18:24:08.466731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

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

Most frequent character per category

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

Most occurring scripts

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

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
ASCII 2160
100.0%

Most frequent character per block

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

유치원명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T18:24:08.690296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.85
Min length5

Characters and Unicode

Total characters471
Distinct characters102
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row새움유치원
2nd row샛별유치원
3rd row그림유치원
4th row상아유치원
5th row밀알유치원
ValueCountFrequency (%)
새움유치원 1
 
1.7%
샛별유치원 1
 
1.7%
서울잠신초등학교병설유치원 1
 
1.7%
서울솔가람유치원 1
 
1.7%
한가람유치원 1
 
1.7%
리아유치원 1
 
1.7%
서울거여초등학교병설유치원 1
 
1.7%
시연유치원 1
 
1.7%
리틀바움유치원 1
 
1.7%
혜림유치원 1
 
1.7%
Other values (50) 50
83.3%
2024-03-13T18:24:09.029304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
100.0%

Most frequent character per category

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

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
100.0%

Most frequent character per block

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

설립유형
Categorical

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

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2024-03-13T18:24:09.301115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:24:09.421222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 36
60.0%
공립(병설 15
25.0%
공립(단설 5
 
8.3%
사립(법인 4
 
6.7%

교실수
Categorical

Distinct14
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
4개
15 
5개
9 
3개
7 
7개
7 
6개
6 
Other values (9)
16 

Length

Max length3
Median length2
Mean length2.15
Min length2

Unique

Unique4 ?
Unique (%)6.7%

Sample

1st row5개
2nd row3개
3rd row9개
4th row4개
5th row4개

Common Values

ValueCountFrequency (%)
4개 15
25.0%
5개 9
15.0%
3개 7
11.7%
7개 7
11.7%
6개 6
 
10.0%
10개 3
 
5.0%
2개 3
 
5.0%
9개 2
 
3.3%
8개 2
 
3.3%
12개 2
 
3.3%
Other values (4) 4
 
6.7%

Length

2024-03-13T18:24:09.541596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4개 15
25.0%
5개 9
15.0%
3개 7
11.7%
7개 7
11.7%
6개 6
 
10.0%
10개 3
 
5.0%
2개 3
 
5.0%
9개 2
 
3.3%
8개 2
 
3.3%
12개 2
 
3.3%
Other values (4) 4
 
6.7%

교실면적
Text

Distinct57
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T18:24:09.762100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0166667
Min length3

Characters and Unicode

Total characters241
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)90.0%

Sample

1st row276㎡
2nd row225㎡
3rd row483㎡
4th row248㎡
5th row264㎡
ValueCountFrequency (%)
182㎡ 2
 
3.3%
453㎡ 2
 
3.3%
540㎡ 2
 
3.3%
309㎡ 1
 
1.7%
367㎡ 1
 
1.7%
347㎡ 1
 
1.7%
276㎡ 1
 
1.7%
660㎡ 1
 
1.7%
299㎡ 1
 
1.7%
622㎡ 1
 
1.7%
Other values (47) 47
78.3%
2024-03-13T18:24:10.122592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 60
24.9%
2 27
11.2%
3 27
11.2%
4 25
10.4%
1 20
 
8.3%
8 16
 
6.6%
6 15
 
6.2%
5 14
 
5.8%
7 14
 
5.8%
0 12
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 181
75.1%
Other Symbol 60
 
24.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 27
14.9%
3 27
14.9%
4 25
13.8%
1 20
11.0%
8 16
8.8%
6 15
8.3%
5 14
7.7%
7 14
7.7%
0 12
6.6%
9 11
6.1%
Other Symbol
ValueCountFrequency (%)
㎡ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 60
24.9%
2 27
11.2%
3 27
11.2%
4 25
10.4%
1 20
 
8.3%
8 16
 
6.6%
6 15
 
6.2%
5 14
 
5.8%
7 14
 
5.8%
0 12
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
75.1%
CJK Compat 60
 
24.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 60
100.0%
ASCII
ValueCountFrequency (%)
2 27
14.9%
3 27
14.9%
4 25
13.8%
1 20
11.0%
8 16
8.8%
6 15
8.3%
5 14
7.7%
7 14
7.7%
0 12
6.6%
9 11
6.1%

체육장
Categorical

Distinct28
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
㎡
27 
127㎡
 
2
66㎡
 
2
120㎡
 
2
80㎡
 
2
Other values (23)
25 

Length

Max length4
Median length3
Mean length2.3833333
Min length1

Unique

Unique21 ?
Unique (%)35.0%

Sample

1st row㎡
2nd row102㎡
3rd row250㎡
4th row178㎡
5th row㎡

Common Values

ValueCountFrequency (%)
㎡ 27
45.0%
127㎡ 2
 
3.3%
66㎡ 2
 
3.3%
120㎡ 2
 
3.3%
80㎡ 2
 
3.3%
90㎡ 2
 
3.3%
0㎡ 2
 
3.3%
110㎡ 1
 
1.7%
20㎡ 1
 
1.7%
126㎡ 1
 
1.7%
Other values (18) 18
30.0%

Length

2024-03-13T18:24:10.252501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㎡ 27
45.0%
66㎡ 2
 
3.3%
120㎡ 2
 
3.3%
80㎡ 2
 
3.3%
90㎡ 2
 
3.3%
0㎡ 2
 
3.3%
127㎡ 2
 
3.3%
242㎡ 1
 
1.7%
92㎡ 1
 
1.7%
369㎡ 1
 
1.7%
Other values (18) 18
30.0%

보건/위생공간
Text

Distinct42
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T18:24:10.420247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9333333
Min length2

Characters and Unicode

Total characters176
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

Unique34 ?
Unique (%)56.7%

Sample

1st row31㎡
2nd row11㎡
3rd row18㎡
4th row0㎡
5th row35㎡
ValueCountFrequency (%)
0㎡ 8
 
13.3%
18㎡ 5
 
8.3%
35㎡ 3
 
5.0%
31㎡ 2
 
3.3%
66㎡ 2
 
3.3%
52㎡ 2
 
3.3%
48㎡ 2
 
3.3%
30㎡ 2
 
3.3%
17㎡ 1
 
1.7%
99㎡ 1
 
1.7%
Other values (32) 32
53.3%
2024-03-13T18:24:10.731653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 60
34.1%
1 21
 
11.9%
0 18
 
10.2%
3 16
 
9.1%
8 10
 
5.7%
5 10
 
5.7%
6 10
 
5.7%
2 9
 
5.1%
4 9
 
5.1%
7 7
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 116
65.9%
Other Symbol 60
34.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
18.1%
0 18
15.5%
3 16
13.8%
8 10
8.6%
5 10
8.6%
6 10
8.6%
2 9
7.8%
4 9
7.8%
7 7
 
6.0%
9 6
 
5.2%
Other Symbol
ValueCountFrequency (%)
㎡ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 60
34.1%
1 21
 
11.9%
0 18
 
10.2%
3 16
 
9.1%
8 10
 
5.7%
5 10
 
5.7%
6 10
 
5.7%
2 9
 
5.1%
4 9
 
5.1%
7 7
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116
65.9%
CJK Compat 60
34.1%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 60
100.0%
ASCII
ValueCountFrequency (%)
1 21
18.1%
0 18
15.5%
3 16
13.8%
8 10
8.6%
5 10
8.6%
6 10
8.6%
2 9
7.8%
4 9
7.8%
7 7
 
6.0%
9 6
 
5.2%

조리실/급식공간
Text

Distinct47
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T18:24:10.922618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3666667
Min length2

Characters and Unicode

Total characters202
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

Unique41 ?
Unique (%)68.3%

Sample

1st row60㎡
2nd row11㎡
3rd row27㎡
4th row33㎡
5th row16㎡
ValueCountFrequency (%)
0㎡ 8
 
13.3%
16㎡ 3
 
5.0%
33㎡ 2
 
3.3%
132㎡ 2
 
3.3%
36㎡ 2
 
3.3%
106㎡ 2
 
3.3%
28㎡ 1
 
1.7%
1455㎡ 1
 
1.7%
60㎡ 1
 
1.7%
34㎡ 1
 
1.7%
Other values (37) 37
61.7%
2024-03-13T18:24:11.215596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 60
29.7%
1 26
12.9%
2 20
 
9.9%
0 19
 
9.4%
3 19
 
9.4%
6 14
 
6.9%
5 13
 
6.4%
4 10
 
5.0%
7 9
 
4.5%
8 8
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 142
70.3%
Other Symbol 60
29.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
18.3%
2 20
14.1%
0 19
13.4%
3 19
13.4%
6 14
9.9%
5 13
9.2%
4 10
 
7.0%
7 9
 
6.3%
8 8
 
5.6%
9 4
 
2.8%
Other Symbol
ValueCountFrequency (%)
㎡ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 202
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 60
29.7%
1 26
12.9%
2 20
 
9.9%
0 19
 
9.4%
3 19
 
9.4%
6 14
 
6.9%
5 13
 
6.4%
4 10
 
5.0%
7 9
 
4.5%
8 8
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 142
70.3%
CJK Compat 60
29.7%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 60
100.0%
ASCII
ValueCountFrequency (%)
1 26
18.3%
2 20
14.1%
0 19
13.4%
3 19
13.4%
6 14
9.9%
5 13
9.2%
4 10
 
7.0%
7 9
 
6.3%
8 8
 
5.6%
9 4
 
2.8%

기타공간
Text

Distinct42
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T18:24:11.468938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters180
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

Unique30 ?
Unique (%)50.0%

Sample

1st row59㎡
2nd row0㎡
3rd row83㎡
4th row68㎡
5th row35㎡
ValueCountFrequency (%)
0㎡ 5
 
8.3%
10㎡ 4
 
6.7%
17㎡ 3
 
5.0%
24㎡ 2
 
3.3%
21㎡ 2
 
3.3%
20㎡ 2
 
3.3%
29㎡ 2
 
3.3%
18㎡ 2
 
3.3%
50㎡ 2
 
3.3%
35㎡ 2
 
3.3%
Other values (32) 34
56.7%
2024-03-13T18:24:11.814111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 60
33.3%
1 24
 
13.3%
0 18
 
10.0%
2 16
 
8.9%
3 13
 
7.2%
5 11
 
6.1%
8 9
 
5.0%
7 8
 
4.4%
4 7
 
3.9%
9 7
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
66.7%
Other Symbol 60
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 24
20.0%
0 18
15.0%
2 16
13.3%
3 13
10.8%
5 11
9.2%
8 9
 
7.5%
7 8
 
6.7%
4 7
 
5.8%
9 7
 
5.8%
6 7
 
5.8%
Other Symbol
ValueCountFrequency (%)
㎡ 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 60
33.3%
1 24
 
13.3%
0 18
 
10.0%
2 16
 
8.9%
3 13
 
7.2%
5 11
 
6.1%
8 9
 
5.0%
7 8
 
4.4%
4 7
 
3.9%
9 7
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
66.7%
CJK Compat 60
33.3%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 60
100.0%
ASCII
ValueCountFrequency (%)
1 24
20.0%
0 18
15.0%
2 16
13.3%
3 13
10.8%
5 11
9.2%
8 9
 
7.5%
7 8
 
6.7%
4 7
 
5.8%
9 7
 
5.8%
6 7
 
5.8%

공시차수
Categorical

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

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

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

Length

2024-03-13T18:24:11.929485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:24:12.017620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 46
76.7%
20201 6
 
10.0%
20181 5
 
8.3%
20211 2
 
3.3%
20191 1
 
1.7%

주소
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-03-13T18:24:12.246357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.916667
Min length16

Characters and Unicode

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

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row서울특별시 송파구 중대로27길 2
2nd row서울특별시 송파구 중대로9길 53-27
3rd row서울특별시 송파구 동남로23나길 6
4th row서울특별시 송파구 백제고분로32길 15
5th row서울특별시 송파구 오금로46길 62
ValueCountFrequency (%)
서울특별시 60
25.0%
송파구 60
25.0%
올림픽로 5
 
2.1%
20 3
 
1.2%
17 3
 
1.2%
위례순환로 3
 
1.2%
양재대로 3
 
1.2%
새말로8길 2
 
0.8%
오금로24길 2
 
0.8%
1218 2
 
0.8%
Other values (87) 97
40.4%
2024-03-13T18:24:12.626893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

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

Most frequent character per category

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

Most occurring scripts

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

Most frequent character per script

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

Most occurring blocks

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

Most frequent character per block

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

Correlations

2024-03-13T18:24:12.722562image/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
설립유형1.0001.0001.0000.0001.0000.8120.8620.9900.8260.0000.762
교실수1.0001.0000.0001.0000.9720.8820.9160.0000.9030.0000.989
교실면적1.0001.0001.0000.9721.0000.9980.9860.9740.9580.0000.987
체육장1.0001.0000.8120.8820.9981.0000.6860.5790.9470.0000.990
보건/위생공간1.0001.0000.8620.9160.9860.6861.0000.9400.7790.0000.960
조리실/급식공간1.0001.0000.9900.0000.9740.5790.9401.0000.0000.7600.964
기타공간1.0001.0000.8260.9030.9580.9470.7790.0001.0000.0000.967
공시차수1.0001.0000.0000.0000.0000.0000.0000.7600.0001.0000.928
주소1.0001.0000.7620.9890.9870.9900.9600.9640.9670.9281.000
2024-03-13T18:24:12.832807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형체육장교실수
공시차수1.0000.0000.0000.000
설립유형0.0001.0000.3890.000
체육장0.0000.3891.0000.362
교실수0.0000.0000.3621.000
2024-03-13T18:24:12.918571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수체육장공시차수
설립유형1.0000.0000.3890.000
교실수0.0001.0000.3620.000
체육장0.3890.3621.0000.000
공시차수0.0000.0000.0001.000

Missing values

2024-03-13T18:24:07.400694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T18:24:07.547841image/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
0서울특별시교육청강동송파교육지원청1ecec08c-f04f-b044-e053-0a32095ab044새움유치원사립(사인)5개276㎡㎡31㎡60㎡59㎡20181서울특별시 송파구 중대로27길 2
1서울특별시교육청강동송파교육지원청1ecec08c-f28a-b044-e053-0a32095ab044샛별유치원사립(사인)3개225㎡102㎡11㎡11㎡0㎡20181서울특별시 송파구 중대로9길 53-27
2서울특별시교육청강동송파교육지원청1ecec08c-fb63-b044-e053-0a32095ab044그림유치원사립(사인)9개483㎡250㎡18㎡27㎡83㎡20181서울특별시 송파구 동남로23나길 6
3서울특별시교육청강동송파교육지원청1ecec08c-ffbe-b044-e053-0a32095ab044상아유치원사립(사인)4개248㎡178㎡0㎡33㎡68㎡20181서울특별시 송파구 백제고분로32길 15
4서울특별시교육청강동송파교육지원청1ecec08d-0819-b044-e053-0a32095ab044밀알유치원사립(사인)4개264㎡㎡35㎡16㎡35㎡20181서울특별시 송파구 오금로46길 62
5서울특별시교육청강동송파교육지원청1ecec08c-f7e3-b044-e053-0a32095ab044예원유치원사립(사인)4개326㎡㎡0㎡10㎡24㎡20191서울특별시 송파구 마천로 30
6서울특별시교육청강동송파교육지원청009c017d-43bd-4d9f-ac64-d217abdd570e서울솔방울유치원공립(단설)7개436㎡223㎡0㎡220㎡50㎡20231서울특별시 송파구 오금로24길 25
7서울특별시교육청강동송파교육지원청04a021da-cdd7-4e7e-a434-2b388c2f6b63란키즈유치원사립(사인)4개226㎡52㎡0㎡0㎡15㎡20231서울특별시 송파구 새말로8길 22-5
8서울특별시교육청강동송파교육지원청0f7d2827-8bb2-4a0c-9926-77fca1f60a54서울송파위례유치원공립(단설)8개447㎡110㎡28㎡64㎡71㎡20231서울특별시 송파구 위례송파로 121
9서울특별시교육청강동송파교육지원청1ecec08c-ed94-b044-e053-0a32095ab044꿀벌유치원사립(사인)6개287㎡㎡50㎡25㎡21㎡20231서울특별시 송파구 양산로8길 8
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
50서울특별시교육청강동송파교육지원청1ecec08d-0f6c-b044-e053-0a32095ab044수정유치원사립(사인)7개540㎡㎡0㎡370㎡241㎡20231서울특별시 송파구 위례성대로 28
51서울특별시교육청강동송파교육지원청1fd6777e-14fd-e0b0-e053-0a32095ae0b0위례우일유치원사립(사인)12개627㎡406㎡67㎡0㎡32㎡20231서울특별시 송파구 성내천로47길 38-1
52서울특별시교육청강동송파교육지원청2ab4825b-780b-4443-b195-77d1c3851b7d서울아주초등학교병설유치원공립(병설)5개289㎡91㎡49㎡249㎡53㎡20231서울특별시 송파구 올림픽로4길 59
53서울특별시교육청강동송파교육지원청4954e1f2-8d93-4db0-a8de-fcabfa4d6a0c서울거원초등학교병설유치원공립(병설)5개270㎡㎡33㎡264㎡33㎡20231서울특별시 송파구 양산로2길 26
54서울특별시교육청강동송파교육지원청7f130073-a125-4e1f-ac7a-0d743c58822b서울영풍초등학교병설유치원공립(병설)5개441㎡90㎡18㎡303㎡25㎡20231서울특별시 송파구 오금로57길 15
55서울특별시교육청강동송파교육지원청7f2f03dd-4d3c-4cbc-bfd3-f88b47041426서울위례솔초등학교병설유치원공립(병설)7개367㎡127㎡97㎡891㎡84㎡20231서울특별시 송파구 위례북로2길 12
56서울특별시교육청강동송파교육지원청98918a25-18ce-48c6-8188-620954527bc8서울솔가람유치원분원공립(단설)5개309㎡㎡59㎡281㎡60㎡20231서울특별시 송파구 위례순환로 477
57서울특별시교육청강동송파교육지원청d3a54882-16bb-4eae-9dc2-7a63f3a43215홍익가족유치원사립(사인)5개453㎡㎡35㎡223㎡0㎡20231서울특별시 송파구 삼학사로19길 20
58서울특별시교육청강동송파교육지원청e1def744-a9f2-4422-8301-d3548bd6074c서울위례별유치원공립(단설)17개831㎡117㎡183㎡1455㎡198㎡20231서울특별시 송파구 위례순환로 371
59서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)3개202㎡135㎡44㎡135㎡34㎡20231서울특별시 송파구 백제고분로 400