Overview

Dataset statistics

Number of variables13
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory108.1 B

Variable types

Categorical6
Text7

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-20647/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
공시차수 is highly imbalanced (62.9%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 17:02:08.105796
Analysis finished2024-03-13 17:02:08.788112
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
서울특별시교육청
42 

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 42
100.0%

Length

2024-03-14T02:02:08.846284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:02:08.927829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 42
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
남부교육지원청
42 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부교육지원청 42
100.0%

Length

2024-03-14T02:02:09.026116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:02:09.101558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부교육지원청 42
100.0%

유치원코드
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:02:09.261047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1512
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

Unique42 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed30-b044-e053-0a32095ab044
2nd row1ecec08c-eecc-b044-e053-0a32095ab044
3rd row1ecec08c-eecd-b044-e053-0a32095ab044
4th row1ecec08c-efb3-b044-e053-0a32095ab044
5th row1ecec08c-f1b5-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed30-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0067-b044-e053-0a32095ab044 1
 
2.4%
bee9e663-cc40-4da3-a26e-2b77a1a3e3f9 1
 
2.4%
1ecec08d-0726-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0749-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-080b-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0b19-b044-e053-0a32095ab044 1
 
2.4%
1ecec08c-fcff-b044-e053-0a32095ab044 1
 
2.4%
1ecec08c-fd97-b044-e053-0a32095ab044 1
 
2.4%
1ecec08c-fec8-b044-e053-0a32095ab044 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T02:02:09.561488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 266
17.6%
- 168
11.1%
4 166
11.0%
e 134
8.9%
c 117
7.7%
3 95
 
6.3%
5 91
 
6.0%
a 91
 
6.0%
b 90
 
6.0%
9 58
 
3.8%
Other values (7) 236
15.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 854
56.5%
Lowercase Letter 490
32.4%
Dash Punctuation 168
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 266
31.1%
4 166
19.4%
3 95
 
11.1%
5 91
 
10.7%
9 58
 
6.8%
1 53
 
6.2%
8 53
 
6.2%
2 45
 
5.3%
6 17
 
2.0%
7 10
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 134
27.3%
c 117
23.9%
a 91
18.6%
b 90
18.4%
d 31
 
6.3%
f 27
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1022
67.6%
Latin 490
32.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 266
26.0%
- 168
16.4%
4 166
16.2%
3 95
 
9.3%
5 91
 
8.9%
9 58
 
5.7%
1 53
 
5.2%
8 53
 
5.2%
2 45
 
4.4%
6 17
 
1.7%
Latin
ValueCountFrequency (%)
e 134
27.3%
c 117
23.9%
a 91
18.6%
b 90
18.4%
d 31
 
6.3%
f 27
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1512
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 266
17.6%
- 168
11.1%
4 166
11.0%
e 134
8.9%
c 117
7.7%
3 95
 
6.3%
5 91
 
6.0%
a 91
 
6.0%
b 90
 
6.0%
9 58
 
3.8%
Other values (7) 236
15.6%

유치원명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:02:09.795906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.8571429
Min length5

Characters and Unicode

Total characters330
Distinct characters73
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

Unique42 ?
Unique (%)100.0%

Sample

1st row성모유치원
2nd row큰나무유치원
3rd row평강유치원
4th row은하유치원
5th row서울윤중초등학교병설유치원
ValueCountFrequency (%)
성모유치원 1
 
2.4%
청은유치원 1
 
2.4%
서울우신초등학교병설유치원 1
 
2.4%
서울당중초등학교병설유치원 1
 
2.4%
서울영중초등학교병설유치원 1
 
2.4%
서울대동초등학교병설유치원 1
 
2.4%
성지유치원 1
 
2.4%
여의유치원 1
 
2.4%
굿프랜드유치원 1
 
2.4%
서울도신초등학교병설유치원 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T02:02:10.065322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
서 12
 
3.6%
울 12
 
3.6%
설 12
 
3.6%
병 12
 
3.6%
교 12
 
3.6%
학 12
 
3.6%
Other values (63) 117
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 330
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
서 12
 
3.6%
울 12
 
3.6%
설 12
 
3.6%
병 12
 
3.6%
교 12
 
3.6%
학 12
 
3.6%
Other values (63) 117
35.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
서 12
 
3.6%
울 12
 
3.6%
설 12
 
3.6%
병 12
 
3.6%
교 12
 
3.6%
학 12
 
3.6%
Other values (63) 117
35.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 330
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 43
 
13.0%
원 43
 
13.0%
치 42
 
12.7%
등 13
 
3.9%
서 12
 
3.6%
울 12
 
3.6%
설 12
 
3.6%
병 12
 
3.6%
교 12
 
3.6%
학 12
 
3.6%
Other values (63) 117
35.5%

설립유형
Categorical

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
사립(사인)
20 
공립(병설)
12 
사립(법인)
10 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
47.6%
공립(병설) 12
28.6%
사립(법인) 10
23.8%

Length

2024-03-14T02:02:10.163002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:02:10.240712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
47.6%
공립(병설 12
28.6%
사립(법인 10
23.8%

교실수
Categorical

Distinct11
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
4개
10 
3개
9 
5개
7 
6개
6 
7개
3 
Other values (6)
7 

Length

Max length3
Median length2
Mean length2.047619
Min length2

Unique

Unique5 ?
Unique (%)11.9%

Sample

1st row6개
2nd row7개
3rd row5개
4th row3개
5th row4개

Common Values

ValueCountFrequency (%)
4개 10
23.8%
3개 9
21.4%
5개 7
16.7%
6개 6
14.3%
7개 3
 
7.1%
9개 2
 
4.8%
11개 1
 
2.4%
0개 1
 
2.4%
14개 1
 
2.4%
8개 1
 
2.4%

Length

2024-03-14T02:02:10.329881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4개 10
23.8%
3개 9
21.4%
5개 7
16.7%
6개 6
14.3%
7개 3
 
7.1%
9개 2
 
4.8%
11개 1
 
2.4%
0개 1
 
2.4%
14개 1
 
2.4%
8개 1
 
2.4%

교실면적
Text

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:02:10.487933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9047619
Min length1

Characters and Unicode

Total characters164
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 (%)88.1%

Sample

1st row427㎡
2nd row498㎡
3rd row365㎡
4th row234㎡
5th row292㎡
ValueCountFrequency (%)
202㎡ 3
 
7.1%
396㎡ 2
 
4.8%
164㎡ 1
 
2.4%
420㎡ 1
 
2.4%
98㎡ 1
 
2.4%
305㎡ 1
 
2.4%
263㎡ 1
 
2.4%
181㎡ 1
 
2.4%
473㎡ 1
 
2.4%
198㎡ 1
 
2.4%
Other values (29) 29
69.0%
2024-03-14T02:02:10.743310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 42
25.6%
2 23
14.0%
3 20
12.2%
6 15
 
9.1%
4 12
 
7.3%
0 11
 
6.7%
1 11
 
6.7%
7 8
 
4.9%
8 8
 
4.9%
9 7
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 122
74.4%
Other Symbol 42
 
25.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 23
18.9%
3 20
16.4%
6 15
12.3%
4 12
9.8%
0 11
9.0%
1 11
9.0%
7 8
 
6.6%
8 8
 
6.6%
9 7
 
5.7%
5 7
 
5.7%
Other Symbol
ValueCountFrequency (%)
㎡ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 164
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 42
25.6%
2 23
14.0%
3 20
12.2%
6 15
 
9.1%
4 12
 
7.3%
0 11
 
6.7%
1 11
 
6.7%
7 8
 
4.9%
8 8
 
4.9%
9 7
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
74.4%
CJK Compat 42
 
25.6%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 42
100.0%
ASCII
ValueCountFrequency (%)
2 23
18.9%
3 20
16.4%
6 15
12.3%
4 12
9.8%
0 11
9.0%
1 11
9.0%
7 8
 
6.6%
8 8
 
6.6%
9 7
 
5.7%
5 7
 
5.7%

체육장
Categorical

Distinct19
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size468.0 B
㎡
22 
80㎡
 
2
0㎡
 
2
68㎡
 
1
440㎡
 
1
Other values (14)
14 

Length

Max length4
Median length1
Mean length2.1190476
Min length1

Unique

Unique16 ?
Unique (%)38.1%

Sample

1st row㎡
2nd row㎡
3rd row㎡
4th row㎡
5th row448㎡

Common Values

ValueCountFrequency (%)
㎡ 22
52.4%
80㎡ 2
 
4.8%
0㎡ 2
 
4.8%
68㎡ 1
 
2.4%
440㎡ 1
 
2.4%
710㎡ 1
 
2.4%
85㎡ 1
 
2.4%
220㎡ 1
 
2.4%
280㎡ 1
 
2.4%
448㎡ 1
 
2.4%
Other values (9) 9
21.4%

Length

2024-03-14T02:02:10.854184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㎡ 22
52.4%
0㎡ 2
 
4.8%
80㎡ 2
 
4.8%
378㎡ 1
 
2.4%
66㎡ 1
 
2.4%
63㎡ 1
 
2.4%
135㎡ 1
 
2.4%
70㎡ 1
 
2.4%
463㎡ 1
 
2.4%
756㎡ 1
 
2.4%
Other values (9) 9
21.4%

보건/위생공간
Text

Distinct25
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:02:10.964465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7857143
Min length2

Characters and Unicode

Total characters117
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)38.1%

Sample

1st row29㎡
2nd row0㎡
3rd row47㎡
4th row31㎡
5th row62㎡
ValueCountFrequency (%)
0㎡ 10
23.8%
31㎡ 2
 
4.8%
62㎡ 2
 
4.8%
33㎡ 2
 
4.8%
23㎡ 2
 
4.8%
41㎡ 2
 
4.8%
12㎡ 2
 
4.8%
66㎡ 2
 
4.8%
60㎡ 2
 
4.8%
34㎡ 1
 
2.4%
Other values (15) 15
35.7%
2024-03-14T02:02:11.208500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 42
35.9%
0 16
 
13.7%
3 12
 
10.3%
1 12
 
10.3%
2 10
 
8.5%
6 9
 
7.7%
4 5
 
4.3%
9 5
 
4.3%
7 4
 
3.4%
8 1
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75
64.1%
Other Symbol 42
35.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
21.3%
3 12
16.0%
1 12
16.0%
2 10
13.3%
6 9
12.0%
4 5
 
6.7%
9 5
 
6.7%
7 4
 
5.3%
8 1
 
1.3%
5 1
 
1.3%
Other Symbol
ValueCountFrequency (%)
㎡ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 42
35.9%
0 16
 
13.7%
3 12
 
10.3%
1 12
 
10.3%
2 10
 
8.5%
6 9
 
7.7%
4 5
 
4.3%
9 5
 
4.3%
7 4
 
3.4%
8 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
64.1%
CJK Compat 42
35.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 42
100.0%
ASCII
ValueCountFrequency (%)
0 16
21.3%
3 12
16.0%
1 12
16.0%
2 10
13.3%
6 9
12.0%
4 5
 
6.7%
9 5
 
6.7%
7 4
 
5.3%
8 1
 
1.3%
5 1
 
1.3%

조리실/급식공간
Text

Distinct34
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:02:11.348085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3333333
Min length2

Characters and Unicode

Total characters140
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

Unique31 ?
Unique (%)73.8%

Sample

1st row227㎡
2nd row0㎡
3rd row83㎡
4th row134㎡
5th row643㎡
ValueCountFrequency (%)
0㎡ 7
 
16.7%
83㎡ 2
 
4.8%
180㎡ 2
 
4.8%
19㎡ 1
 
2.4%
96㎡ 1
 
2.4%
173㎡ 1
 
2.4%
172㎡ 1
 
2.4%
152㎡ 1
 
2.4%
1897㎡ 1
 
2.4%
8㎡ 1
 
2.4%
Other values (24) 24
57.1%
2024-03-14T02:02:11.582435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 42
30.0%
1 19
13.6%
3 14
 
10.0%
0 13
 
9.3%
8 10
 
7.1%
7 8
 
5.7%
5 8
 
5.7%
9 8
 
5.7%
2 7
 
5.0%
4 6
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98
70.0%
Other Symbol 42
30.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
19.4%
3 14
14.3%
0 13
13.3%
8 10
10.2%
7 8
8.2%
5 8
8.2%
9 8
8.2%
2 7
 
7.1%
4 6
 
6.1%
6 5
 
5.1%
Other Symbol
ValueCountFrequency (%)
㎡ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 42
30.0%
1 19
13.6%
3 14
 
10.0%
0 13
 
9.3%
8 10
 
7.1%
7 8
 
5.7%
5 8
 
5.7%
9 8
 
5.7%
2 7
 
5.0%
4 6
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98
70.0%
CJK Compat 42
30.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 42
100.0%
ASCII
ValueCountFrequency (%)
1 19
19.4%
3 14
14.3%
0 13
13.3%
8 10
10.2%
7 8
8.2%
5 8
8.2%
9 8
8.2%
2 7
 
7.1%
4 6
 
6.1%
6 5
 
5.1%

기타공간
Text

Distinct25
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:02:11.709204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8571429
Min length2

Characters and Unicode

Total characters120
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)38.1%

Sample

1st row12㎡
2nd row64㎡
3rd row9㎡
4th row14㎡
5th row212㎡
ValueCountFrequency (%)
0㎡ 7
16.7%
22㎡ 3
 
7.1%
9㎡ 3
 
7.1%
14㎡ 3
 
7.1%
12㎡ 2
 
4.8%
13㎡ 2
 
4.8%
10㎡ 2
 
4.8%
23㎡ 2
 
4.8%
24㎡ 2
 
4.8%
39㎡ 1
 
2.4%
Other values (15) 15
35.7%
2024-03-14T02:02:12.046230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 42
35.0%
2 20
16.7%
1 14
 
11.7%
0 10
 
8.3%
3 9
 
7.5%
4 8
 
6.7%
9 7
 
5.8%
5 4
 
3.3%
8 4
 
3.3%
6 2
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78
65.0%
Other Symbol 42
35.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
25.6%
1 14
17.9%
0 10
12.8%
3 9
11.5%
4 8
 
10.3%
9 7
 
9.0%
5 4
 
5.1%
8 4
 
5.1%
6 2
 
2.6%
Other Symbol
ValueCountFrequency (%)
㎡ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 42
35.0%
2 20
16.7%
1 14
 
11.7%
0 10
 
8.3%
3 9
 
7.5%
4 8
 
6.7%
9 7
 
5.8%
5 4
 
3.3%
8 4
 
3.3%
6 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78
65.0%
CJK Compat 42
35.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 42
100.0%
ASCII
ValueCountFrequency (%)
2 20
25.6%
1 14
17.9%
0 10
12.8%
3 9
11.5%
4 8
 
10.3%
9 7
 
9.0%
5 4
 
5.1%
8 4
 
5.1%
6 2
 
2.6%

공시차수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size468.0 B
20231
39 
20181
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20231 39
92.9%
20181 3
 
7.1%

Length

2024-03-14T02:02:12.151094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:02:12.224090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 39
92.9%
20181 3
 
7.1%

주소
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:02:12.394762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.333333
Min length17

Characters and Unicode

Total characters812
Distinct characters55
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

Unique42 ?
Unique (%)100.0%

Sample

1st row서울특별시 영등포구 가마산로89길 7
2nd row서울특별시 영등포구 도신로 31
3rd row서울특별시 영등포구 신길로 27
4th row서울특별시 영등포구 당산로28길 11
5th row서울특별시 영등포구 여의나루로2길 14
ValueCountFrequency (%)
서울특별시 42
25.0%
영등포구 42
25.0%
14 4
 
2.4%
신길로 3
 
1.8%
9 2
 
1.2%
3 2
 
1.2%
대방천로 2
 
1.2%
도신로 2
 
1.2%
8 2
 
1.2%
양산로 2
 
1.2%
Other values (65) 65
38.7%
2024-03-14T02:02:12.688174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
15.5%
영 46
 
5.7%
서 43
 
5.3%
포 43
 
5.3%
시 43
 
5.3%
등 43
 
5.3%
울 42
 
5.2%
구 42
 
5.2%
로 42
 
5.2%
별 42
 
5.2%
Other values (45) 300
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 546
67.2%
Decimal Number 136
 
16.7%
Space Separator 126
 
15.5%
Dash Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
포 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
울 42
 
7.7%
구 42
 
7.7%
로 42
 
7.7%
별 42
 
7.7%
특 42
 
7.7%
Other values (33) 118
21.6%
Decimal Number
ValueCountFrequency (%)
1 27
19.9%
3 19
14.0%
2 17
12.5%
4 14
10.3%
8 12
8.8%
5 12
8.8%
7 10
 
7.4%
9 9
 
6.6%
6 9
 
6.6%
0 7
 
5.1%
Space Separator
ValueCountFrequency (%)
126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 546
67.2%
Common 266
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
포 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
울 42
 
7.7%
구 42
 
7.7%
로 42
 
7.7%
별 42
 
7.7%
특 42
 
7.7%
Other values (33) 118
21.6%
Common
ValueCountFrequency (%)
126
47.4%
1 27
 
10.2%
3 19
 
7.1%
2 17
 
6.4%
4 14
 
5.3%
8 12
 
4.5%
5 12
 
4.5%
7 10
 
3.8%
9 9
 
3.4%
6 9
 
3.4%
Other values (2) 11
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 546
67.2%
ASCII 266
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
47.4%
1 27
 
10.2%
3 19
 
7.1%
2 17
 
6.4%
4 14
 
5.3%
8 12
 
4.5%
5 12
 
4.5%
7 10
 
3.8%
9 9
 
3.4%
6 9
 
3.4%
Other values (2) 11
 
4.1%
Hangul
ValueCountFrequency (%)
영 46
 
8.4%
서 43
 
7.9%
포 43
 
7.9%
시 43
 
7.9%
등 43
 
7.9%
울 42
 
7.7%
구 42
 
7.7%
로 42
 
7.7%
별 42
 
7.7%
특 42
 
7.7%
Other values (33) 118
21.6%

Correlations

2024-03-14T02:02:12.770342image/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
설립유형1.0001.0001.0000.3020.9250.7020.4250.8330.6930.1191.000
교실수1.0001.0000.3021.0000.9920.0000.0000.0000.0000.4131.000
교실면적1.0001.0000.9250.9921.0000.3620.6000.9380.9681.0001.000
체육장1.0001.0000.7020.0000.3621.0000.8390.9840.8870.0001.000
보건/위생공간1.0001.0000.4250.0000.6000.8391.0000.9400.9140.0001.000
조리실/급식공간1.0001.0000.8330.0000.9380.9840.9401.0000.9710.0001.000
기타공간1.0001.0000.6930.0000.9680.8870.9140.9711.0000.0001.000
공시차수1.0001.0000.1190.4131.0000.0000.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T02:02:12.875342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형체육장교실수
공시차수1.0000.1920.0000.342
설립유형0.1921.0000.3730.146
체육장0.0000.3731.0000.000
교실수0.3420.1460.0001.000
2024-03-14T02:02:12.950069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수체육장공시차수
설립유형1.0000.1460.3730.192
교실수0.1461.0000.0000.342
체육장0.3730.0001.0000.000
공시차수0.1920.3420.0001.000

Missing values

2024-03-14T02:02:08.602265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T02:02:08.731770image/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
0서울특별시교육청남부교육지원청1ecec08c-ed30-b044-e053-0a32095ab044성모유치원사립(법인)6개427㎡㎡29㎡227㎡12㎡20231서울특별시 영등포구 가마산로89길 7
1서울특별시교육청남부교육지원청1ecec08c-eecc-b044-e053-0a32095ab044큰나무유치원사립(사인)7개498㎡㎡0㎡0㎡64㎡20231서울특별시 영등포구 도신로 31
2서울특별시교육청남부교육지원청1ecec08c-eecd-b044-e053-0a32095ab044평강유치원사립(사인)5개365㎡㎡47㎡83㎡9㎡20231서울특별시 영등포구 신길로 27
3서울특별시교육청남부교육지원청1ecec08c-efb3-b044-e053-0a32095ab044은하유치원사립(법인)3개234㎡㎡31㎡134㎡14㎡20231서울특별시 영등포구 당산로28길 11
4서울특별시교육청남부교육지원청1ecec08c-f1b5-b044-e053-0a32095ab044서울윤중초등학교병설유치원공립(병설)4개292㎡448㎡62㎡643㎡212㎡20231서울특별시 영등포구 여의나루로2길 14
5서울특별시교육청남부교육지원청1ecec08c-f497-b044-e053-0a32095ab044무지개영재유치원사립(법인)11개580㎡㎡0㎡617㎡25㎡20231서울특별시 영등포구 양산로17길 8
6서울특별시교육청남부교육지원청1ecec08c-f600-b044-e053-0a32095ab044살레시오성미유치원사립(법인)9개633㎡440㎡110㎡775㎡182㎡20231서울특별시 영등포구 신길로 93
7서울특별시교육청남부교육지원청1ecec08c-f7c4-b044-e053-0a32095ab044한영유치원사립(사인)5개316㎡0㎡31㎡27㎡10㎡20231서울특별시 영등포구 영중로41길 5
8서울특별시교육청남부교육지원청1ecec08c-f88d-b044-e053-0a32095ab044동천유치원사립(사인)4개237㎡80㎡0㎡25㎡12㎡20231서울특별시 영등포구 신길로40길 10
9서울특별시교육청남부교육지원청1ecec08c-f88e-b044-e053-0a32095ab044명신유치원사립(법인)5개254㎡㎡85㎡51㎡29㎡20231서울특별시 영등포구 신길로41라길 13-9
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
32서울특별시교육청남부교육지원청1ecec08d-0b39-b044-e053-0a32095ab044서울대방초등학교병설유치원공립(병설)4개411㎡756㎡121㎡398㎡309㎡20231서울특별시 영등포구 여의대방로35길 14
33서울특별시교육청남부교육지원청1ecec08d-0d36-b044-e053-0a32095ab044침례유치원사립(법인)6개366㎡463㎡12㎡36㎡22㎡20231서울특별시 영등포구 국제금융로 118
34서울특별시교육청남부교육지원청1ecec08d-0d37-b044-e053-0a32095ab044한신혜원유치원사립(사인)6개420㎡0㎡60㎡155㎡10㎡20231서울특별시 영등포구 양평로24길 9
35서울특별시교육청남부교육지원청1ecec08d-0e0f-b044-e053-0a32095ab044신길에덴유치원사립(사인)3개164㎡70㎡32㎡180㎡11㎡20231서울특별시 영등포구 신길로38길 21
36서울특별시교육청남부교육지원청1ecec08d-0e56-b044-e053-0a32095ab044서울영림초등학교병설유치원공립(병설)4개305㎡135㎡67㎡110㎡22㎡20231서울특별시 영등포구 시흥대로173길 14
37서울특별시교육청남부교육지원청514a9da1-09dd-41f1-80ad-6ae2336cc998서울대길초등학교병설유치원공립(병설)3개202㎡63㎡10㎡141㎡23㎡20231서울특별시 영등포구 대방천로 206
38서울특별시교육청남부교육지원청1ecec08d-01d4-b044-e053-0a32095ab044푸른나라유치원사립(사인)3개98㎡㎡20㎡10㎡264㎡20181서울특별시 영등포구 당산로35길 3
39서울특별시교육청남부교육지원청1ecec08d-0555-b044-e053-0a32095ab044대림유치원사립(사인)1개174㎡㎡0㎡0㎡0㎡20181서울특별시 영등포구 디지털로 455-7
40서울특별시교육청남부교육지원청bee9e663-cc40-4da3-a26e-2b77a1a3e3f9서울우신초등학교병설유치원공립(병설)6개396㎡90㎡91㎡390㎡22㎡20231서울특별시 영등포구 신길로 190
41서울특별시교육청남부교육지원청c295b114-3f1c-40a9-85ec-0999d036c98c서울선유초등학교병설유치원공립(병설)3개202㎡㎡33㎡0㎡0㎡20231서울특별시 영등포구 선유로43가길 14