Overview

Dataset statistics

Number of variables13
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory107.2 B

Variable types

Categorical4
Text8
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-20644/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
설립유형 is highly overall correlated with 교실수High correlation
교실수 is highly overall correlated with 설립유형High correlation
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 06:59:14.539439
Analysis finished2024-03-13 06:59:15.466868
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
서울특별시교육청
61 

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 61
100.0%

Length

2024-03-13T15:59:15.521536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:59:15.603070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 61
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
강서양천교육지원청
61 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

Length

2024-03-13T15:59:15.682739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:59:15.759403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 61
100.0%

유치원코드
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T15:59:15.914749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2196
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

Unique61 ?
Unique (%)100.0%

Sample

1st row1ecec08c-fbfb-b044-e053-0a32095ab044
2nd row1ecec08c-fcd8-b044-e053-0a32095ab044
3rd row1ecec08c-eec6-b044-e053-0a32095ab044
4th row1ecec08c-ed82-b044-e053-0a32095ab044
5th row1ecec08c-eec7-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-fbfb-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-08ba-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0993-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-09f0-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0b2b-b044-e053-0a32095ab044 1
 
1.6%
1ecec08d-0c02-b044-e053-0a32095ab044 1
 
1.6%
cd859395-2ba1-4f95-a3db-7c7a75b2d320 1
 
1.6%
d0fe68a4-a1df-44ce-9072-87f9da3c301a 1
 
1.6%
da318554-85fa-494c-9ab9-60fd25bb0ce2 1
 
1.6%
fd885965-9f40-46c1-879e-82acd096a57e 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T15:59:16.216855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1226
55.8%
Lowercase Letter 726
33.1%
Dash Punctuation 244
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 325
26.5%
4 218
17.8%
5 138
11.3%
3 131
10.7%
8 88
 
7.2%
9 87
 
7.1%
1 81
 
6.6%
2 78
 
6.4%
7 44
 
3.6%
6 36
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
f 63
 
8.7%
d 63
 
8.7%
Dash Punctuation
ValueCountFrequency (%)
- 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1470
66.9%
Latin 726
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 325
22.1%
- 244
16.6%
4 218
14.8%
5 138
9.4%
3 131
8.9%
8 88
 
6.0%
9 87
 
5.9%
1 81
 
5.5%
2 78
 
5.3%
7 44
 
3.0%
Latin
ValueCountFrequency (%)
e 174
24.0%
c 154
21.2%
a 138
19.0%
b 134
18.5%
f 63
 
8.7%
d 63
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 325
14.8%
- 244
11.1%
4 218
9.9%
e 174
 
7.9%
c 154
 
7.0%
a 138
 
6.3%
5 138
 
6.3%
b 134
 
6.1%
3 131
 
6.0%
8 88
 
4.0%
Other values (7) 452
20.6%

유치원명
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T15:59:16.414164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.4098361
Min length5

Characters and Unicode

Total characters452
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

Unique61 ?
Unique (%)100.0%

Sample

1st row예지유치원
2nd row수미유치원
3rd row한나유치원
4th row서울공항초등학교병설유치원
5th row화곡유치원
ValueCountFrequency (%)
예지유치원 1
 
1.6%
장미유치원 1
 
1.6%
아람유치원 1
 
1.6%
서울화일초등학교병설유치원 1
 
1.6%
윤서유치원 1
 
1.6%
미도유치원 1
 
1.6%
서울송정초등학교병설유치원 1
 
1.6%
서울개화초등학교병설유치원 1
 
1.6%
이솔유치원 1
 
1.6%
서울가양초등학교병설유치원 1
 
1.6%
Other values (51) 51
83.6%
2024-03-13T15:59:16.709296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
교 15
 
3.3%
학 15
 
3.3%
초 15
 
3.3%
병 15
 
3.3%
Other values (73) 147
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
교 15
 
3.3%
학 15
 
3.3%
초 15
 
3.3%
병 15
 
3.3%
Other values (73) 147
32.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
교 15
 
3.3%
학 15
 
3.3%
초 15
 
3.3%
병 15
 
3.3%
Other values (73) 147
32.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 63
13.9%
원 62
13.7%
치 61
13.5%
서 21
 
4.6%
등 20
 
4.4%
울 18
 
4.0%
교 15
 
3.3%
학 15
 
3.3%
초 15
 
3.3%
병 15
 
3.3%
Other values (73) 147
32.5%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
사립(사인)
39 
공립(병설)
15 
사립(법인)
4 
공립(단설)
 
3

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 row공립(병설)
5th row사립(법인)

Common Values

ValueCountFrequency (%)
사립(사인) 39
63.9%
공립(병설) 15
 
24.6%
사립(법인) 4
 
6.6%
공립(단설) 3
 
4.9%

Length

2024-03-13T15:59:16.830540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:59:16.915052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 39
63.9%
공립(병설 15
 
24.6%
사립(법인 4
 
6.6%
공립(단설 3
 
4.9%

교실수
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
6개
12 
5개
12 
4개
9 
8개
9 
3개
7 
Other values (5)
12 

Length

Max length3
Median length2
Mean length2.0491803
Min length2

Unique

Unique3 ?
Unique (%)4.9%

Sample

1st row3개
2nd row4개
3rd row6개
4th row5개
5th row5개

Common Values

ValueCountFrequency (%)
6개 12
19.7%
5개 12
19.7%
4개 9
14.8%
8개 9
14.8%
3개 7
11.5%
7개 7
11.5%
9개 2
 
3.3%
13개 1
 
1.6%
10개 1
 
1.6%
11개 1
 
1.6%

Length

2024-03-13T15:59:17.004899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:59:17.115290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6개 12
19.7%
5개 12
19.7%
4개 9
14.8%
8개 9
14.8%
3개 7
11.5%
7개 7
11.5%
9개 2
 
3.3%
13개 1
 
1.6%
10개 1
 
1.6%
11개 1
 
1.6%

교실면적
Text

Distinct54
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T15:59:17.360168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0163934
Min length4

Characters and Unicode

Total characters245
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

Unique47 ?
Unique (%)77.0%

Sample

1st row331㎡
2nd row260㎡
3rd row385㎡
4th row364㎡
5th row319㎡
ValueCountFrequency (%)
354㎡ 2
 
3.3%
427㎡ 2
 
3.3%
385㎡ 2
 
3.3%
364㎡ 2
 
3.3%
343㎡ 2
 
3.3%
610㎡ 2
 
3.3%
500㎡ 2
 
3.3%
331㎡ 1
 
1.6%
464㎡ 1
 
1.6%
240㎡ 1
 
1.6%
Other values (44) 44
72.1%
2024-03-13T15:59:17.672053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 61
24.9%
3 35
14.3%
4 26
10.6%
0 21
 
8.6%
5 20
 
8.2%
6 19
 
7.8%
1 16
 
6.5%
2 16
 
6.5%
8 16
 
6.5%
9 8
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 184
75.1%
Other Symbol 61
 
24.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 35
19.0%
4 26
14.1%
0 21
11.4%
5 20
10.9%
6 19
10.3%
1 16
8.7%
2 16
8.7%
8 16
8.7%
9 8
 
4.3%
7 7
 
3.8%
Other Symbol
ValueCountFrequency (%)
㎡ 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 245
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 61
24.9%
3 35
14.3%
4 26
10.6%
0 21
 
8.6%
5 20
 
8.2%
6 19
 
7.8%
1 16
 
6.5%
2 16
 
6.5%
8 16
 
6.5%
9 8
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
75.1%
CJK Compat 61
 
24.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 61
100.0%
ASCII
ValueCountFrequency (%)
3 35
19.0%
4 26
14.1%
0 21
11.4%
5 20
10.9%
6 19
10.3%
1 16
8.7%
2 16
8.7%
8 16
8.7%
9 8
 
4.3%
7 7
 
3.8%

체육장
Text

Distinct33
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T15:59:17.821720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.4918033
Min length1

Characters and Unicode

Total characters152
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

Unique27 ?
Unique (%)44.3%

Sample

1st row㎡
2nd row136㎡
3rd row681㎡
4th row81㎡
5th row㎡
ValueCountFrequency (%)
㎡ 21
34.4%
0㎡ 5
 
8.2%
134㎡ 2
 
3.3%
57㎡ 2
 
3.3%
72㎡ 2
 
3.3%
79㎡ 2
 
3.3%
177㎡ 1
 
1.6%
36㎡ 1
 
1.6%
50㎡ 1
 
1.6%
241㎡ 1
 
1.6%
Other values (23) 23
37.7%
2024-03-13T15:59:18.075584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 61
40.1%
1 14
 
9.2%
7 14
 
9.2%
0 11
 
7.2%
3 8
 
5.3%
4 8
 
5.3%
9 8
 
5.3%
6 8
 
5.3%
2 7
 
4.6%
8 7
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 91
59.9%
Other Symbol 61
40.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 14
15.4%
7 14
15.4%
0 11
12.1%
3 8
8.8%
4 8
8.8%
9 8
8.8%
6 8
8.8%
2 7
7.7%
8 7
7.7%
5 6
6.6%
Other Symbol
ValueCountFrequency (%)
㎡ 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 61
40.1%
1 14
 
9.2%
7 14
 
9.2%
0 11
 
7.2%
3 8
 
5.3%
4 8
 
5.3%
9 8
 
5.3%
6 8
 
5.3%
2 7
 
4.6%
8 7
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
59.9%
CJK Compat 61
40.1%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 61
100.0%
ASCII
ValueCountFrequency (%)
1 14
15.4%
7 14
15.4%
0 11
12.1%
3 8
8.8%
4 8
8.8%
9 8
8.8%
6 8
8.8%
2 7
7.7%
8 7
7.7%
5 6
6.6%

보건/위생공간
Text

Distinct41
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T15:59:18.231454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9672131
Min length2

Characters and Unicode

Total characters181
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 (%)49.2%

Sample

1st row0㎡
2nd row10㎡
3rd row54㎡
4th row54㎡
5th row20㎡
ValueCountFrequency (%)
0㎡ 9
 
14.8%
10㎡ 3
 
4.9%
32㎡ 3
 
4.9%
100㎡ 2
 
3.3%
90㎡ 2
 
3.3%
45㎡ 2
 
3.3%
24㎡ 2
 
3.3%
68㎡ 2
 
3.3%
20㎡ 2
 
3.3%
54㎡ 2
 
3.3%
Other values (31) 32
52.5%
2024-03-13T15:59:18.503861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 61
33.7%
0 27
14.9%
2 17
 
9.4%
6 13
 
7.2%
3 12
 
6.6%
4 12
 
6.6%
1 10
 
5.5%
8 9
 
5.0%
5 8
 
4.4%
9 8
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
66.3%
Other Symbol 61
33.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
22.5%
2 17
14.2%
6 13
10.8%
3 12
10.0%
4 12
10.0%
1 10
 
8.3%
8 9
 
7.5%
5 8
 
6.7%
9 8
 
6.7%
7 4
 
3.3%
Other Symbol
ValueCountFrequency (%)
㎡ 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 61
33.7%
0 27
14.9%
2 17
 
9.4%
6 13
 
7.2%
3 12
 
6.6%
4 12
 
6.6%
1 10
 
5.5%
8 9
 
5.0%
5 8
 
4.4%
9 8
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
66.3%
CJK Compat 61
33.7%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 61
100.0%
ASCII
ValueCountFrequency (%)
0 27
22.5%
2 17
14.2%
6 13
10.8%
3 12
10.0%
4 12
10.0%
1 10
 
8.3%
8 9
 
7.5%
5 8
 
6.7%
9 8
 
6.7%
7 4
 
3.3%

조리실/급식공간
Text

Distinct53
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T15:59:18.690642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.5737705
Min length2

Characters and Unicode

Total characters218
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

Unique47 ?
Unique (%)77.0%

Sample

1st row81㎡
2nd row54㎡
3rd row74㎡
4th row330㎡
5th row96㎡
ValueCountFrequency (%)
0㎡ 4
 
6.6%
68㎡ 2
 
3.3%
36㎡ 2
 
3.3%
153㎡ 2
 
3.3%
30㎡ 2
 
3.3%
34㎡ 2
 
3.3%
305㎡ 1
 
1.6%
81㎡ 1
 
1.6%
195㎡ 1
 
1.6%
167㎡ 1
 
1.6%
Other values (43) 43
70.5%
2024-03-13T15:59:19.036374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 61
28.0%
3 28
12.8%
1 28
12.8%
0 19
 
8.7%
2 18
 
8.3%
4 14
 
6.4%
5 14
 
6.4%
6 10
 
4.6%
7 10
 
4.6%
8 8
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 157
72.0%
Other Symbol 61
 
28.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 28
17.8%
1 28
17.8%
0 19
12.1%
2 18
11.5%
4 14
8.9%
5 14
8.9%
6 10
 
6.4%
7 10
 
6.4%
8 8
 
5.1%
9 8
 
5.1%
Other Symbol
ValueCountFrequency (%)
㎡ 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 218
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 61
28.0%
3 28
12.8%
1 28
12.8%
0 19
 
8.7%
2 18
 
8.3%
4 14
 
6.4%
5 14
 
6.4%
6 10
 
4.6%
7 10
 
4.6%
8 8
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 157
72.0%
CJK Compat 61
 
28.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 61
100.0%
ASCII
ValueCountFrequency (%)
3 28
17.8%
1 28
17.8%
0 19
12.1%
2 18
11.5%
4 14
8.9%
5 14
8.9%
6 10
 
6.4%
7 10
 
6.4%
8 8
 
5.1%
9 8
 
5.1%

기타공간
Text

Distinct44
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T15:59:19.217722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.147541
Min length2

Characters and Unicode

Total characters192
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

Unique32 ?
Unique (%)52.5%

Sample

1st row0㎡
2nd row61㎡
3rd row28㎡
4th row32㎡
5th row24㎡
ValueCountFrequency (%)
0㎡ 5
 
8.2%
14㎡ 3
 
4.9%
32㎡ 3
 
4.9%
24㎡ 2
 
3.3%
16㎡ 2
 
3.3%
20㎡ 2
 
3.3%
12㎡ 2
 
3.3%
18㎡ 2
 
3.3%
10㎡ 2
 
3.3%
115㎡ 2
 
3.3%
Other values (34) 36
59.0%
2024-03-13T15:59:19.548079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 61
31.8%
1 26
13.5%
3 20
 
10.4%
0 15
 
7.8%
2 15
 
7.8%
5 12
 
6.2%
6 12
 
6.2%
4 10
 
5.2%
7 9
 
4.7%
8 7
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 131
68.2%
Other Symbol 61
31.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
19.8%
3 20
15.3%
0 15
11.5%
2 15
11.5%
5 12
9.2%
6 12
9.2%
4 10
 
7.6%
7 9
 
6.9%
8 7
 
5.3%
9 5
 
3.8%
Other Symbol
ValueCountFrequency (%)
㎡ 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 61
31.8%
1 26
13.5%
3 20
 
10.4%
0 15
 
7.8%
2 15
 
7.8%
5 12
 
6.2%
6 12
 
6.2%
4 10
 
5.2%
7 9
 
4.7%
8 7
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 131
68.2%
CJK Compat 61
31.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 61
100.0%
ASCII
ValueCountFrequency (%)
1 26
19.8%
3 20
15.3%
0 15
11.5%
2 15
11.5%
5 12
9.2%
6 12
9.2%
4 10
 
7.6%
7 9
 
6.9%
8 7
 
5.3%
9 5
 
3.8%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20225.426
Minimum20181
Maximum20231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2024-03-13T15:59:19.650253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181
5-th percentile20191
Q120231
median20231
Q320231
95-th percentile20231
Maximum20231
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.604483
Coefficient of variation (CV)0.0006726426
Kurtosis4.295814
Mean20225.426
Median Absolute Deviation (MAD)0
Skewness-2.3798283
Sum1233751
Variance185.08197
MonotonicityNot monotonic
2024-03-13T15:59:19.740816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20231 50
82.0%
20191 4
 
6.6%
20221 3
 
4.9%
20181 2
 
3.3%
20211 1
 
1.6%
20201 1
 
1.6%
ValueCountFrequency (%)
20181 2
 
3.3%
20191 4
 
6.6%
20201 1
 
1.6%
20211 1
 
1.6%
20221 3
 
4.9%
20231 50
82.0%
ValueCountFrequency (%)
20231 50
82.0%
20221 3
 
4.9%
20211 1
 
1.6%
20201 1
 
1.6%
20191 4
 
6.6%
20181 2
 
3.3%

주소
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2024-03-13T15:59:19.956905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.885246
Min length15

Characters and Unicode

Total characters1152
Distinct characters58
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

Unique57 ?
Unique (%)93.4%

Sample

1st row서울특별시 강서구 남부순환로11가길 89
2nd row서울특별시 강서구 강서로17길 130
3rd row서울특별시 강서구 금낭화로 287-19
4th row서울특별시 강서구 마곡서1로 68
5th row서울특별시 강서구 까치산로 60
ValueCountFrequency (%)
서울특별시 61
25.0%
강서구 61
25.0%
허준로 9
 
3.7%
39 3
 
1.2%
금낭화로 3
 
1.2%
강서로 3
 
1.2%
마곡서1로 2
 
0.8%
4 2
 
0.8%
76 2
 
0.8%
63 2
 
0.8%
Other values (88) 96
39.3%
2024-03-13T15:59:20.315297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
15.9%
서 135
 
11.7%
강 71
 
6.2%
로 61
 
5.3%
구 61
 
5.3%
울 61
 
5.3%
시 61
 
5.3%
별 61
 
5.3%
특 61
 
5.3%
1 43
 
3.7%
Other values (48) 354
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
64.6%
Decimal Number 219
 
19.0%
Space Separator 183
 
15.9%
Dash Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
로 61
8.2%
구 61
8.2%
울 61
8.2%
시 61
8.2%
별 61
8.2%
특 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Decimal Number
ValueCountFrequency (%)
1 43
19.6%
3 35
16.0%
6 26
11.9%
4 22
10.0%
2 21
9.6%
7 16
 
7.3%
0 15
 
6.8%
5 14
 
6.4%
8 14
 
6.4%
9 13
 
5.9%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
64.6%
Common 408
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
로 61
8.2%
구 61
8.2%
울 61
8.2%
시 61
8.2%
별 61
8.2%
특 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%
Common
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
64.6%
ASCII 408
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
44.9%
1 43
 
10.5%
3 35
 
8.6%
6 26
 
6.4%
4 22
 
5.4%
2 21
 
5.1%
7 16
 
3.9%
0 15
 
3.7%
5 14
 
3.4%
8 14
 
3.4%
Other values (2) 19
 
4.7%
Hangul
ValueCountFrequency (%)
서 135
18.1%
강 71
9.5%
로 61
8.2%
구 61
8.2%
울 61
8.2%
시 61
8.2%
별 61
8.2%
특 61
8.2%
길 38
 
5.1%
화 12
 
1.6%
Other values (36) 122
16.4%

Interactions

2024-03-13T15:59:15.167101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T15:59:20.401580image/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
설립유형1.0001.0001.0000.7500.9760.7870.7330.7870.7160.0000.000
교실수1.0001.0000.7501.0000.9250.0000.8910.9380.9140.0000.000
교실면적1.0001.0000.9760.9251.0000.7820.9200.8420.6350.0000.982
체육장1.0001.0000.7870.0000.7821.0000.9240.8020.0000.6720.903
보건/위생공간1.0001.0000.7330.8910.9200.9241.0000.9340.8730.7010.000
조리실/급식공간1.0001.0000.7870.9380.8420.8020.9341.0000.9230.0000.963
기타공간1.0001.0000.7160.9140.6350.0000.8730.9231.0000.0000.964
공시차수1.0001.0000.0000.0000.0000.6720.7010.0000.0001.0000.000
주소1.0001.0000.0000.0000.9820.9030.0000.9630.9640.0001.000
2024-03-13T15:59:20.774445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수
설립유형1.0000.528
교실수0.5281.000
2024-03-13T15:59:20.838228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형교실수
공시차수1.0000.0000.000
설립유형0.0001.0000.528
교실수0.0000.5281.000

Missing values

2024-03-13T15:59:15.263149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T15:59:15.399044image/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
0서울특별시교육청강서양천교육지원청1ecec08c-fbfb-b044-e053-0a32095ab044예지유치원사립(사인)3개331㎡㎡0㎡81㎡0㎡20181서울특별시 강서구 남부순환로11가길 89
1서울특별시교육청강서양천교육지원청1ecec08c-fcd8-b044-e053-0a32095ab044수미유치원사립(사인)4개260㎡136㎡10㎡54㎡61㎡20181서울특별시 강서구 강서로17길 130
2서울특별시교육청강서양천교육지원청1ecec08c-eec6-b044-e053-0a32095ab044한나유치원사립(사인)6개385㎡681㎡54㎡74㎡28㎡20231서울특별시 강서구 금낭화로 287-19
3서울특별시교육청강서양천교육지원청1ecec08c-ed82-b044-e053-0a32095ab044서울공항초등학교병설유치원공립(병설)5개364㎡81㎡54㎡330㎡32㎡20231서울특별시 강서구 마곡서1로 68
4서울특별시교육청강서양천교육지원청1ecec08c-eec7-b044-e053-0a32095ab044화곡유치원사립(법인)5개319㎡㎡20㎡96㎡24㎡20231서울특별시 강서구 까치산로 60
5서울특별시교육청강서양천교육지원청1ecec08c-ef9c-b044-e053-0a32095ab044선미유치원사립(법인)5개366㎡209㎡68㎡371㎡34㎡20231서울특별시 강서구 까치산로2길 43
6서울특별시교육청강서양천교육지원청1ecec08c-f199-b044-e053-0a32095ab044서울공진초등학교병설유치원공립(병설)5개340㎡㎡47㎡339㎡115㎡20231서울특별시 강서구 마곡서로 33
7서울특별시교육청강서양천교육지원청1ecec08c-f1fa-b044-e053-0a32095ab044보라유치원사립(사인)6개498㎡㎡0㎡0㎡36㎡20231서울특별시 강서구 공항대로39길 100
8서울특별시교육청강서양천교육지원청1ecec08c-f33b-b044-e053-0a32095ab044신세기유치원사립(사인)6개458㎡72㎡79㎡125㎡17㎡20231서울특별시 강서구 허준로 47
9서울특별시교육청강서양천교육지원청1ecec08c-f3d7-b044-e053-0a32095ab044서울정곡초등학교병설유치원공립(병설)4개238㎡893㎡58㎡121㎡14㎡20231서울특별시 강서구 방화대로50길 22
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
51서울특별시교육청강서양천교육지원청4c985951-85b6-4625-a43d-c1a1a42855fa새싹유치원사립(사인)8개385㎡143㎡75㎡25㎡105㎡20201서울특별시 강서구 곰달래로49길 10
52서울특별시교육청강서양천교육지원청1fd6777e-1513-e0b0-e053-0a32095ae0b0밤비니유치원사립(사인)7개588㎡241㎡244㎡0㎡14㎡20221서울특별시 강서구 남부순환로7길 39
53서울특별시교육청강서양천교육지원청1fd6777e-1532-e0b0-e053-0a32095ae0b0행복한유치원사립(사인)8개610㎡0㎡0㎡70㎡10㎡20231서울특별시 강서구 강서로62길 40
54서울특별시교육청강서양천교육지원청49466743-6302-46e6-beb6-71a05883b7fd서울수명유치원공립(단설)11개659㎡0㎡96㎡1355㎡133㎡20231서울특별시 강서구 수명로1길 76
55서울특별시교육청강서양천교육지원청4cac393c-4205-4ac0-86c0-6f16aa97cae0나나유치원사립(사인)8개396㎡㎡100㎡200㎡20㎡20231서울특별시 강서구 등촌로13바길 46
56서울특별시교육청강서양천교육지원청53e84c27-6bdd-49a9-9c73-887fa8bd28a2서울금낭화유치원공립(단설)5개348㎡50㎡62㎡24023㎡35㎡20231서울특별시 강서구 금낭화로 35
57서울특별시교육청강서양천교육지원청5e4a5892-4caf-4a0b-93ab-44d81b9557a2서울신곡초등학교병설유치원공립(병설)5개330㎡66㎡0㎡384㎡780㎡20231서울특별시 강서구 등촌로13자길 42-14
58서울특별시교육청강서양천교육지원청7721e609-bd73-448b-8b96-f988a1c4757d서울등촌초등학교병설유치원공립(병설)5개427㎡180㎡60㎡137㎡475㎡20231서울특별시 강서구 등촌로39길 71
59서울특별시교육청강서양천교육지원청8114e0a3-e56e-47e5-a5d6-c2eef91cbed7서울탑산초등학교병설유치원공립(병설)5개343㎡㎡60㎡221㎡23㎡20231서울특별시 강서구 허준로 109
60서울특별시교육청강서양천교육지원청8fe5f3aa-d57f-4d30-bf63-09e1b5ab5633서울신월초등학교병설유치원공립(병설)3개132㎡79㎡0㎡90㎡0㎡20231서울특별시 강서구 강서로31길 48