Overview

Dataset statistics

Number of variables13
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory107.6 B

Variable types

Categorical4
Text8
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-20640/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 16:30:51.743067
Analysis finished2024-03-13 16:30:52.526244
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서울특별시교육청
50 

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 50
100.0%

Length

2024-03-14T01:30:52.572058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:30:52.637485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 50
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
서부교육지원청
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부교육지원청 50
100.0%

Length

2024-03-14T01:30:52.708409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:30:52.772636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육지원청 50
100.0%

유치원코드
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T01:30:52.920771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1800
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

Unique50 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed89-b044-e053-0a32095ab044
2nd row1ecec08c-f60c-b044-e053-0a32095ab044
3rd row1ecec08c-fed9-b044-e053-0a32095ab044
4th row0783b5eb-4c00-4161-9c47-664336825e5a
5th row1ecec08c-ed16-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed89-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-0838-b044-e053-0a32095ab044 1
 
2.0%
e120b286-7861-486d-9b3f-f3c7b49f3c1c 1
 
2.0%
1ecec08c-ffa8-b044-e053-0a32095ab044 1
 
2.0%
1ecec08c-ffda-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-015d-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-029e-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-02b1-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ab-b044-e053-0a32095ab044 1
 
2.0%
1ecec08d-04ac-b044-e053-0a32095ab044 1
 
2.0%
Other values (40) 40
80.0%
2024-03-14T01:30:53.195355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1019
56.6%
Lowercase Letter 581
32.3%
Dash Punctuation 200
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 285
28.0%
4 202
19.8%
5 106
 
10.4%
3 105
 
10.3%
1 78
 
7.7%
9 70
 
6.9%
8 62
 
6.1%
2 62
 
6.1%
7 26
 
2.6%
6 23
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1219
67.7%
Latin 581
32.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 285
23.4%
4 202
16.6%
- 200
16.4%
5 106
 
8.7%
3 105
 
8.6%
1 78
 
6.4%
9 70
 
5.7%
8 62
 
5.1%
2 62
 
5.1%
7 26
 
2.1%
Latin
ValueCountFrequency (%)
e 157
27.0%
c 132
22.7%
a 115
19.8%
b 109
18.8%
f 36
 
6.2%
d 32
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 285
15.8%
4 202
11.2%
- 200
11.1%
e 157
8.7%
c 132
7.3%
a 115
 
6.4%
b 109
 
6.1%
5 106
 
5.9%
3 105
 
5.8%
1 78
 
4.3%
Other values (7) 311
17.3%

유치원명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T01:30:53.425862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length7.66
Min length4

Characters and Unicode

Total characters383
Distinct characters83
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

Unique50 ?
Unique (%)100.0%

Sample

1st row궁전유치원
2nd row피노키오유치원
3rd row효림유치원
4th row다우림유치원
5th row서울연광초등학교병설유치원
ValueCountFrequency (%)
궁전유치원 1
 
2.0%
자인유치원 1
 
2.0%
서울어울초등학교병설유치원 1
 
2.0%
은평국제유치원 1
 
2.0%
예일유치원 1
 
2.0%
백합유치원 1
 
2.0%
서울수색초등학교병설유치원 1
 
2.0%
서울연신초등학교병설유치원 1
 
2.0%
서문유치원 1
 
2.0%
서울은평초등학교병설유치원 1
 
2.0%
Other values (40) 40
80.0%
2024-03-14T01:30:53.715040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
서 20
 
5.2%
울 20
 
5.2%
교 13
 
3.4%
설 13
 
3.4%
병 13
 
3.4%
초 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
서 20
 
5.2%
울 20
 
5.2%
교 13
 
3.4%
설 13
 
3.4%
병 13
 
3.4%
초 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
서 20
 
5.2%
울 20
 
5.2%
교 13
 
3.4%
설 13
 
3.4%
병 13
 
3.4%
초 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 51
13.3%
치 50
 
13.1%
원 50
 
13.1%
서 20
 
5.2%
울 20
 
5.2%
교 13
 
3.4%
설 13
 
3.4%
병 13
 
3.4%
초 13
 
3.4%
등 13
 
3.4%
Other values (73) 127
33.2%

설립유형
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
사립(사인)
24 
공립(병설)
13 
사립(법인)
8 
공립(단설)
5 

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 row공립(병설)

Common Values

ValueCountFrequency (%)
사립(사인) 24
48.0%
공립(병설) 13
26.0%
사립(법인) 8
 
16.0%
공립(단설) 5
 
10.0%

Length

2024-03-14T01:30:53.815565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T01:30:53.887430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 24
48.0%
공립(병설 13
26.0%
사립(법인 8
 
16.0%
공립(단설 5
 
10.0%

교실수
Categorical

Distinct13
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3개
10 
4개
8 
9개
8 
5개
5 
7개
5 
Other values (8)
14 

Length

Max length3
Median length2
Mean length2.1
Min length2

Unique

Unique4 ?
Unique (%)8.0%

Sample

1st row4개
2nd row9개
3rd row6개
4th row3개
5th row4개

Common Values

ValueCountFrequency (%)
3개 10
20.0%
4개 8
16.0%
9개 8
16.0%
5개 5
10.0%
7개 5
10.0%
6개 4
 
8.0%
13개 2
 
4.0%
8개 2
 
4.0%
2개 2
 
4.0%
12개 1
 
2.0%
Other values (3) 3
 
6.0%

Length

2024-03-14T01:30:53.969033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3개 10
20.0%
4개 8
16.0%
9개 8
16.0%
5개 5
10.0%
7개 5
10.0%
6개 4
 
8.0%
13개 2
 
4.0%
8개 2
 
4.0%
2개 2
 
4.0%
12개 1
 
2.0%
Other values (3) 3
 
6.0%

교실면적
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T01:30:54.133296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters200
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

Unique46 ?
Unique (%)92.0%

Sample

1st row200㎡
2nd row424㎡
3rd row383㎡
4th row175㎡
5th row168㎡
ValueCountFrequency (%)
204㎡ 2
 
4.0%
335㎡ 2
 
4.0%
452㎡ 1
 
2.0%
200㎡ 1
 
2.0%
565㎡ 1
 
2.0%
615㎡ 1
 
2.0%
218㎡ 1
 
2.0%
226㎡ 1
 
2.0%
231㎡ 1
 
2.0%
234㎡ 1
 
2.0%
Other values (38) 38
76.0%
2024-03-14T01:30:54.397160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 50
25.0%
2 27
13.5%
3 20
 
10.0%
1 20
 
10.0%
5 19
 
9.5%
4 15
 
7.5%
6 14
 
7.0%
7 12
 
6.0%
0 11
 
5.5%
9 6
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
75.0%
Other Symbol 50
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 27
18.0%
3 20
13.3%
1 20
13.3%
5 19
12.7%
4 15
10.0%
6 14
9.3%
7 12
8.0%
0 11
7.3%
9 6
 
4.0%
8 6
 
4.0%
Other Symbol
ValueCountFrequency (%)
㎡ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 50
25.0%
2 27
13.5%
3 20
 
10.0%
1 20
 
10.0%
5 19
 
9.5%
4 15
 
7.5%
6 14
 
7.0%
7 12
 
6.0%
0 11
 
5.5%
9 6
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150
75.0%
CJK Compat 50
 
25.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 50
100.0%
ASCII
ValueCountFrequency (%)
2 27
18.0%
3 20
13.3%
1 20
13.3%
5 19
12.7%
4 15
10.0%
6 14
9.3%
7 12
8.0%
0 11
7.3%
9 6
 
4.0%
8 6
 
4.0%

체육장
Text

Distinct27
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T01:30:54.531411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.64
Min length1

Characters and Unicode

Total characters132
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

Unique22 ?
Unique (%)44.0%

Sample

1st row㎡
2nd row126㎡
3rd row99㎡
4th row㎡
5th row135㎡
ValueCountFrequency (%)
㎡ 18
36.0%
66㎡ 4
 
8.0%
135㎡ 2
 
4.0%
0㎡ 2
 
4.0%
140㎡ 2
 
4.0%
142㎡ 1
 
2.0%
110㎡ 1
 
2.0%
108㎡ 1
 
2.0%
124㎡ 1
 
2.0%
298㎡ 1
 
2.0%
Other values (17) 17
34.0%
2024-03-14T01:30:54.747876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 50
37.9%
1 18
 
13.6%
2 13
 
9.8%
6 11
 
8.3%
5 10
 
7.6%
0 10
 
7.6%
4 7
 
5.3%
9 4
 
3.0%
8 4
 
3.0%
3 3
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 82
62.1%
Other Symbol 50
37.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
22.0%
2 13
15.9%
6 11
13.4%
5 10
12.2%
0 10
12.2%
4 7
 
8.5%
9 4
 
4.9%
8 4
 
4.9%
3 3
 
3.7%
7 2
 
2.4%
Other Symbol
ValueCountFrequency (%)
㎡ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 50
37.9%
1 18
 
13.6%
2 13
 
9.8%
6 11
 
8.3%
5 10
 
7.6%
0 10
 
7.6%
4 7
 
5.3%
9 4
 
3.0%
8 4
 
3.0%
3 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82
62.1%
CJK Compat 50
37.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 50
100.0%
ASCII
ValueCountFrequency (%)
1 18
22.0%
2 13
15.9%
6 11
13.4%
5 10
12.2%
0 10
12.2%
4 7
 
8.5%
9 4
 
4.9%
8 4
 
4.9%
3 3
 
3.7%
7 2
 
2.4%

보건/위생공간
Text

Distinct37
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T01:30:54.911279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.96
Min length2

Characters and Unicode

Total characters148
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

Unique25 ?
Unique (%)50.0%

Sample

1st row24㎡
2nd row45㎡
3rd row132㎡
4th row14㎡
5th row22㎡
ValueCountFrequency (%)
0㎡ 3
 
6.0%
41㎡ 2
 
4.0%
24㎡ 2
 
4.0%
17㎡ 2
 
4.0%
45㎡ 2
 
4.0%
99㎡ 2
 
4.0%
40㎡ 2
 
4.0%
85㎡ 2
 
4.0%
80㎡ 2
 
4.0%
22㎡ 2
 
4.0%
Other values (27) 29
58.0%
2024-03-14T01:30:55.187409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 50
33.8%
4 15
 
10.1%
2 14
 
9.5%
5 12
 
8.1%
0 11
 
7.4%
1 11
 
7.4%
7 8
 
5.4%
3 8
 
5.4%
8 7
 
4.7%
9 7
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98
66.2%
Other Symbol 50
33.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 15
15.3%
2 14
14.3%
5 12
12.2%
0 11
11.2%
1 11
11.2%
7 8
8.2%
3 8
8.2%
8 7
7.1%
9 7
7.1%
6 5
 
5.1%
Other Symbol
ValueCountFrequency (%)
㎡ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 148
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 50
33.8%
4 15
 
10.1%
2 14
 
9.5%
5 12
 
8.1%
0 11
 
7.4%
1 11
 
7.4%
7 8
 
5.4%
3 8
 
5.4%
8 7
 
4.7%
9 7
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98
66.2%
CJK Compat 50
33.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 50
100.0%
ASCII
ValueCountFrequency (%)
4 15
15.3%
2 14
14.3%
5 12
12.2%
0 11
11.2%
1 11
11.2%
7 8
8.2%
3 8
8.2%
8 7
7.1%
9 7
7.1%
6 5
 
5.1%

조리실/급식공간
Text

Distinct40
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T01:30:55.340583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3
Min length2

Characters and Unicode

Total characters165
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

Unique37 ?
Unique (%)74.0%

Sample

1st row20㎡
2nd row15㎡
3rd row71㎡
4th row96㎡
5th row0㎡
ValueCountFrequency (%)
0㎡ 9
 
18.0%
25㎡ 2
 
4.0%
189㎡ 2
 
4.0%
549㎡ 1
 
2.0%
381㎡ 1
 
2.0%
280㎡ 1
 
2.0%
411㎡ 1
 
2.0%
462㎡ 1
 
2.0%
584㎡ 1
 
2.0%
195㎡ 1
 
2.0%
Other values (30) 30
60.0%
2024-03-14T01:30:55.898311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 50
30.3%
1 18
 
10.9%
2 18
 
10.9%
0 17
 
10.3%
5 12
 
7.3%
6 10
 
6.1%
3 10
 
6.1%
8 9
 
5.5%
4 8
 
4.8%
9 7
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
69.7%
Other Symbol 50
30.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
15.7%
2 18
15.7%
0 17
14.8%
5 12
10.4%
6 10
8.7%
3 10
8.7%
8 9
7.8%
4 8
7.0%
9 7
 
6.1%
7 6
 
5.2%
Other Symbol
ValueCountFrequency (%)
㎡ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 165
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 50
30.3%
1 18
 
10.9%
2 18
 
10.9%
0 17
 
10.3%
5 12
 
7.3%
6 10
 
6.1%
3 10
 
6.1%
8 9
 
5.5%
4 8
 
4.8%
9 7
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
69.7%
CJK Compat 50
30.3%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 50
100.0%
ASCII
ValueCountFrequency (%)
1 18
15.7%
2 18
15.7%
0 17
14.8%
5 12
10.4%
6 10
8.7%
3 10
8.7%
8 9
7.8%
4 8
7.0%
9 7
 
6.1%
7 6
 
5.2%

기타공간
Text

Distinct35
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T01:30:56.048312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.98
Min length2

Characters and Unicode

Total characters149
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 (%)48.0%

Sample

1st row93㎡
2nd row224㎡
3rd row67㎡
4th row9㎡
5th row16㎡
ValueCountFrequency (%)
10㎡ 4
 
8.0%
15㎡ 3
 
6.0%
12㎡ 3
 
6.0%
0㎡ 2
 
4.0%
22㎡ 2
 
4.0%
13㎡ 2
 
4.0%
9㎡ 2
 
4.0%
25㎡ 2
 
4.0%
34㎡ 2
 
4.0%
33㎡ 2
 
4.0%
Other values (25) 26
52.0%
2024-03-14T01:30:56.320628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 50
33.6%
1 21
14.1%
3 14
 
9.4%
2 13
 
8.7%
4 13
 
8.7%
0 10
 
6.7%
5 10
 
6.7%
9 7
 
4.7%
7 4
 
2.7%
6 4
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99
66.4%
Other Symbol 50
33.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
21.2%
3 14
14.1%
2 13
13.1%
4 13
13.1%
0 10
10.1%
5 10
10.1%
9 7
 
7.1%
7 4
 
4.0%
6 4
 
4.0%
8 3
 
3.0%
Other Symbol
ValueCountFrequency (%)
㎡ 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 149
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 50
33.6%
1 21
14.1%
3 14
 
9.4%
2 13
 
8.7%
4 13
 
8.7%
0 10
 
6.7%
5 10
 
6.7%
9 7
 
4.7%
7 4
 
2.7%
6 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99
66.4%
CJK Compat 50
33.6%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 50
100.0%
ASCII
ValueCountFrequency (%)
1 21
21.2%
3 14
14.1%
2 13
13.1%
4 13
13.1%
0 10
10.1%
5 10
10.1%
9 7
 
7.1%
7 4
 
4.0%
6 4
 
4.0%
8 3
 
3.0%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20222.8
Minimum20181
Maximum20231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-03-14T01:30:56.414454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181
5-th percentile20191
Q120223.5
median20231
Q320231
95-th percentile20231
Maximum20231
Range50
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation15.608736
Coefficient of variation (CV)0.00077183854
Kurtosis1.342488
Mean20222.8
Median Absolute Deviation (MAD)0
Skewness-1.686889
Sum1011140
Variance243.63265
MonotonicityNot monotonic
2024-03-14T01:30:56.506755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20231 37
74.0%
20191 5
 
10.0%
20211 3
 
6.0%
20181 2
 
4.0%
20221 2
 
4.0%
20201 1
 
2.0%
ValueCountFrequency (%)
20181 2
 
4.0%
20191 5
 
10.0%
20201 1
 
2.0%
20211 3
 
6.0%
20221 2
 
4.0%
20231 37
74.0%
ValueCountFrequency (%)
20231 37
74.0%
20221 2
 
4.0%
20211 3
 
6.0%
20201 1
 
2.0%
20191 5
 
10.0%
20181 2
 
4.0%

주소
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-03-14T01:30:56.707840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.74
Min length16

Characters and Unicode

Total characters937
Distinct characters45
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

Unique44 ?
Unique (%)88.0%

Sample

1st row서울특별시 은평구 갈현로33길 24
2nd row서울특별시 은평구 증산로15길 35-8
3rd row서울특별시 은평구 은평터널로 65
4th row서울특별시 은평구 증산로21길 22
5th row서울특별시 은평구 연서로35길 37
ValueCountFrequency (%)
서울특별시 50
25.0%
은평구 50
25.0%
갈현로 3
 
1.5%
진관1로 3
 
1.5%
진관4로 3
 
1.5%
통일로 3
 
1.5%
은평터널로 2
 
1.0%
51 2
 
1.0%
23 2
 
1.0%
21 2
 
1.0%
Other values (69) 80
40.0%
2024-03-14T01:30:57.012457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
16.0%
서 58
 
6.2%
평 57
 
6.1%
은 57
 
6.1%
구 50
 
5.3%
시 50
 
5.3%
별 50
 
5.3%
특 50
 
5.3%
울 50
 
5.3%
로 49
 
5.2%
Other values (35) 316
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 586
62.5%
Decimal Number 185
 
19.7%
Space Separator 150
 
16.0%
Dash Punctuation 16
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
9.9%
평 57
9.7%
은 57
9.7%
구 50
8.5%
시 50
8.5%
별 50
8.5%
특 50
8.5%
울 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Decimal Number
ValueCountFrequency (%)
1 46
24.9%
2 29
15.7%
3 25
13.5%
7 22
11.9%
5 19
10.3%
4 13
 
7.0%
0 10
 
5.4%
6 9
 
4.9%
9 9
 
4.9%
8 3
 
1.6%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 586
62.5%
Common 351
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
9.9%
평 57
9.7%
은 57
9.7%
구 50
8.5%
시 50
8.5%
별 50
8.5%
특 50
8.5%
울 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%
Common
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
6 9
 
2.6%
Other values (2) 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
62.5%
ASCII 351
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
42.7%
1 46
 
13.1%
2 29
 
8.3%
3 25
 
7.1%
7 22
 
6.3%
5 19
 
5.4%
- 16
 
4.6%
4 13
 
3.7%
0 10
 
2.8%
6 9
 
2.6%
Other values (2) 12
 
3.4%
Hangul
ValueCountFrequency (%)
서 58
9.9%
평 57
9.7%
은 57
9.7%
구 50
8.5%
시 50
8.5%
별 50
8.5%
특 50
8.5%
울 50
8.5%
로 49
8.4%
길 28
 
4.8%
Other values (23) 87
14.8%

Interactions

2024-03-14T01:30:52.232684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T01:30:57.093130image/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
설립유형1.0001.0001.0000.5910.9720.7330.7510.9640.8890.1190.000
교실수1.0001.0000.5911.0000.8830.8610.8390.0000.0000.5670.000
교실면적1.0001.0000.9720.8831.0000.9910.9810.9590.9740.8080.968
체육장1.0001.0000.7330.8610.9911.0000.8300.9630.8180.0000.000
보건/위생공간1.0001.0000.7510.8390.9810.8301.0000.9380.7500.7550.917
조리실/급식공간1.0001.0000.9640.0000.9590.9630.9381.0000.8920.0000.890
기타공간1.0001.0000.8890.0000.9740.8180.7500.8921.0000.8340.828
공시차수1.0001.0000.1190.5670.8080.0000.7550.0000.8341.0000.000
주소1.0001.0000.0000.0000.9680.0000.9170.8900.8280.0001.000
2024-03-14T01:30:57.186741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수
설립유형1.0000.342
교실수0.3421.000
2024-03-14T01:30:57.248924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형교실수
공시차수1.0000.0470.224
설립유형0.0471.0000.342
교실수0.2240.3421.000

Missing values

2024-03-14T01:30:52.323250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T01:30:52.473547image/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
0서울특별시교육청서부교육지원청1ecec08c-ed89-b044-e053-0a32095ab044궁전유치원사립(사인)4개200㎡㎡24㎡20㎡93㎡20181서울특별시 은평구 갈현로33길 24
1서울특별시교육청서부교육지원청1ecec08c-f60c-b044-e053-0a32095ab044피노키오유치원사립(사인)9개424㎡126㎡45㎡15㎡224㎡20181서울특별시 은평구 증산로15길 35-8
2서울특별시교육청서부교육지원청1ecec08c-fed9-b044-e053-0a32095ab044효림유치원사립(사인)6개383㎡99㎡132㎡71㎡67㎡20231서울특별시 은평구 은평터널로 65
3서울특별시교육청서부교육지원청0783b5eb-4c00-4161-9c47-664336825e5a다우림유치원사립(사인)3개175㎡㎡14㎡96㎡9㎡20221서울특별시 은평구 증산로21길 22
4서울특별시교육청서부교육지원청1ecec08c-ed16-b044-e053-0a32095ab044서울연광초등학교병설유치원공립(병설)4개168㎡135㎡22㎡0㎡16㎡20231서울특별시 은평구 연서로35길 37
5서울특별시교육청서부교육지원청1ecec08c-ee12-b044-e053-0a32095ab044성아유치원사립(사인)5개204㎡㎡24㎡53㎡10㎡20231서울특별시 은평구 응암로14길 21
6서울특별시교육청서부교육지원청1ecec08c-ee13-b044-e053-0a32095ab044성균관유치원사립(사인)9개554㎡125㎡80㎡26㎡15㎡20231서울특별시 은평구 연서로27길 23
7서울특별시교육청서부교육지원청1ecec08c-ee3d-b044-e053-0a32095ab044동산유치원사립(법인)5개253㎡152㎡23㎡212㎡14㎡20231서울특별시 은평구 증산서길 53-9
8서울특별시교육청서부교육지원청1ecec08c-eed7-b044-e053-0a32095ab044서울신도초등학교병설유치원공립(병설)4개271㎡71㎡41㎡193㎡12㎡20231서울특별시 은평구 진관1로 77-23
9서울특별시교육청서부교육지원청1ecec08c-f13b-b044-e053-0a32095ab044서울진관유치원공립(단설)7개471㎡135㎡76㎡1008㎡53㎡20231서울특별시 은평구 진관2로 111-16
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
40서울특별시교육청서부교육지원청1ecec08d-09db-b044-e053-0a32095ab044바다의별유치원사립(법인)6개335㎡155㎡50㎡237㎡91㎡20231서울특별시 은평구 통일로 790-1
41서울특별시교육청서부교육지원청1ecec08d-0ba5-b044-e053-0a32095ab044숲유치원사립(사인)14개811㎡298㎡57㎡189㎡25㎡20231서울특별시 은평구 진관2로 37
42서울특별시교육청서부교육지원청1ecec08d-0e41-b044-e053-0a32095ab044새보람유치원사립(사인)5개295㎡㎡32㎡0㎡25㎡20231서울특별시 은평구 불광로 107
43서울특별시교육청서부교육지원청799c1c12-8e72-44b1-80ba-84c6907a6037서울불광초등학교병설유치원공립(병설)3개176㎡㎡40㎡240㎡20㎡20231서울특별시 은평구 불광로 51
44서울특별시교육청서부교육지원청7a2cc871-7f4c-4c45-b4a9-5610093f33fa서울응암초등학교병설유치원공립(병설)4개268㎡66㎡67㎡0㎡101㎡20231서울특별시 은평구 가좌로6길 20
45서울특별시교육청서부교육지원청a4246c73-08e0-4da3-8211-ad2976de52ea은평하랑유치원사립(사인)6개307㎡㎡5㎡381㎡39㎡20231서울특별시 은평구 은평로16길 9-1
46서울특별시교육청서부교육지원청abfb8257-6e64-417e-9fb4-1e145a31f5fe서울산울림유치원공립(단설)11개507㎡124㎡46㎡549㎡4㎡20231서울특별시 은평구 진관4로 93
47서울특별시교육청서부교육지원청ccb06417-04c0-411a-b29e-6ff1a22fabab서울북한산유치원공립(단설)9개413㎡108㎡0㎡411㎡41㎡20231서울특별시 은평구 진관1로 77-15
48서울특별시교육청서부교육지원청e120b286-7861-486d-9b3f-f3c7b49f3c1c서울어울초등학교병설유치원공립(병설)3개192㎡㎡85㎡280㎡12㎡20231서울특별시 은평구 통일로 650
49서울특별시교육청서부교육지원청e7796971-1ca3-445b-a672-a03730995574서울역촌유치원공립(단설)4개156㎡216㎡54㎡525㎡84㎡20231서울특별시 은평구 진흥로7길 25