Overview

Dataset statistics

Number of variables11
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory92.7 B

Variable types

Categorical5
Text6

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,건축년도,건물층수,건물전용면적,대지총면적,공시차수,주소
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-20620/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
공시차수 is highly imbalanced (57.1%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
대지총면적 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 08:00:02.323081
Analysis finished2024-03-13 08:00:02.856162
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
서울특별시교육청
36 

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 36
100.0%

Length

2024-03-13T17:00:02.907687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:00:02.986775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 36
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
남부교육지원청
36 

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 36
100.0%

Length

2024-03-13T17:00:03.069512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:00:03.151170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남부교육지원청 36
100.0%

유치원코드
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T17:00:03.329528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1296
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

Unique36 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed2f-b044-e053-0a32095ab044
2nd row1ecec08c-eecb-b044-e053-0a32095ab044
3rd row1ecec08c-efa0-b044-e053-0a32095ab044
4th row1ecec08c-f052-b044-e053-0a32095ab044
5th row1ecec08c-f1b3-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed2f-b044-e053-0a32095ab044 1
 
2.8%
1ecec08c-eecb-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0630-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-012c-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0141-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-01d6-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-02b2-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0556-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-0557-b044-e053-0a32095ab044 1
 
2.8%
1ecec08d-08be-b044-e053-0a32095ab044 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T17:00:03.636397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 223
17.2%
- 144
11.1%
4 141
10.9%
e 116
9.0%
c 99
7.6%
b 81
 
6.2%
5 80
 
6.2%
a 79
 
6.1%
3 74
 
5.7%
2 51
 
3.9%
Other values (7) 208
16.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 722
55.7%
Lowercase Letter 430
33.2%
Dash Punctuation 144
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 223
30.9%
4 141
19.5%
5 80
 
11.1%
3 74
 
10.2%
2 51
 
7.1%
1 46
 
6.4%
9 46
 
6.4%
8 39
 
5.4%
6 12
 
1.7%
7 10
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 116
27.0%
c 99
23.0%
b 81
18.8%
a 79
18.4%
d 28
 
6.5%
f 27
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 144
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 866
66.8%
Latin 430
33.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 223
25.8%
- 144
16.6%
4 141
16.3%
5 80
 
9.2%
3 74
 
8.5%
2 51
 
5.9%
1 46
 
5.3%
9 46
 
5.3%
8 39
 
4.5%
6 12
 
1.4%
Latin
ValueCountFrequency (%)
e 116
27.0%
c 99
23.0%
b 81
18.8%
a 79
18.4%
d 28
 
6.5%
f 27
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 223
17.2%
- 144
11.1%
4 141
10.9%
e 116
9.0%
c 99
7.6%
b 81
 
6.2%
5 80
 
6.2%
a 79
 
6.1%
3 74
 
5.7%
2 51
 
3.9%
Other values (7) 208
16.0%

유치원명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T17:00:03.810119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.1666667
Min length5

Characters and Unicode

Total characters294
Distinct characters67
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울아람유치원
2nd row정훈유치원
3rd row미림유치원
4th row서울세곡초등학교병설유치원
5th row서울개봉초등학교병설유치원
ValueCountFrequency (%)
서울아람유치원 1
 
2.8%
정훈유치원 1
 
2.8%
푸른동산유치원 1
 
2.8%
동부유치원 1
 
2.8%
예쁨유치원 1
 
2.8%
서울구일초등학교병설유치원 1
 
2.8%
서울하늘숲유치원 1
 
2.8%
동정성모유치원 1
 
2.8%
바니유치원 1
 
2.8%
꿀벌유치원 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T17:00:04.086709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
12.9%
36
 
12.2%
36
 
12.2%
17
 
5.8%
16
 
5.4%
12
 
4.1%
12
 
4.1%
12
 
4.1%
12
 
4.1%
12
 
4.1%
Other values (57) 91
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
12.9%
36
 
12.2%
36
 
12.2%
17
 
5.8%
16
 
5.4%
12
 
4.1%
12
 
4.1%
12
 
4.1%
12
 
4.1%
12
 
4.1%
Other values (57) 91
31.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
12.9%
36
 
12.2%
36
 
12.2%
17
 
5.8%
16
 
5.4%
12
 
4.1%
12
 
4.1%
12
 
4.1%
12
 
4.1%
12
 
4.1%
Other values (57) 91
31.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
38
12.9%
36
 
12.2%
36
 
12.2%
17
 
5.8%
16
 
5.4%
12
 
4.1%
12
 
4.1%
12
 
4.1%
12
 
4.1%
12
 
4.1%
Other values (57) 91
31.0%

설립유형
Categorical

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
사립(사인)
18 
공립(병설)
12 
사립(법인)
공립(단설)

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 row공립(병설)

Common Values

ValueCountFrequency (%)
사립(사인) 18
50.0%
공립(병설) 12
33.3%
사립(법인) 4
 
11.1%
공립(단설) 2
 
5.6%

Length

2024-03-13T17:00:04.199615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:00:04.307790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 18
50.0%
공립(병설 12
33.3%
사립(법인 4
 
11.1%
공립(단설 2
 
5.6%
Distinct23
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T17:00:04.483666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters180
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)36.1%

Sample

1st row2003년
2nd row1999년
3rd row1986년
4th row2013년
5th row1971년
ValueCountFrequency (%)
2013년 3
 
8.3%
1982년 3
 
8.3%
2002년 3
 
8.3%
1990년 2
 
5.6%
1979년 2
 
5.6%
1988년 2
 
5.6%
1985년 2
 
5.6%
1999년 2
 
5.6%
2001년 2
 
5.6%
1989년 2
 
5.6%
Other values (13) 13
36.1%
2024-03-13T17:00:04.737444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 40
22.2%
36
20.0%
1 35
19.4%
0 22
12.2%
2 19
10.6%
8 15
 
8.3%
3 5
 
2.8%
7 4
 
2.2%
5 2
 
1.1%
4 1
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
80.0%
Other Letter 36
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 40
27.8%
1 35
24.3%
0 22
15.3%
2 19
13.2%
8 15
 
10.4%
3 5
 
3.5%
7 4
 
2.8%
5 2
 
1.4%
4 1
 
0.7%
6 1
 
0.7%
Other Letter
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 144
80.0%
Hangul 36
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 40
27.8%
1 35
24.3%
0 22
15.3%
2 19
13.2%
8 15
 
10.4%
3 5
 
3.5%
7 4
 
2.8%
5 2
 
1.4%
4 1
 
0.7%
6 1
 
0.7%
Hangul
ValueCountFrequency (%)
36
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 144
80.0%
Hangul 36
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 40
27.8%
1 35
24.3%
0 22
15.3%
2 19
13.2%
8 15
 
10.4%
3 5
 
3.5%
7 4
 
2.8%
5 2
 
1.4%
4 1
 
0.7%
6 1
 
0.7%
Hangul
ValueCountFrequency (%)
36
100.0%

건물층수
Categorical

Distinct8
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
지상3층/ 지하1층
지상1층/ 지하0층
지상2층/ 지하0층
지상3층/ 지하0층
지상4층/ 지하1층
Other values (3)

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st row지상3층/ 지하1층
2nd row지상2층/ 지하0층
3rd row지상3층/ 지하0층
4th row지상1층/ 지하0층
5th row지상4층/ 지하1층

Common Values

ValueCountFrequency (%)
지상3층/ 지하1층 9
25.0%
지상1층/ 지하0층 8
22.2%
지상2층/ 지하0층 4
11.1%
지상3층/ 지하0층 4
11.1%
지상4층/ 지하1층 4
11.1%
지상2층/ 지하1층 4
11.1%
지상4층/ 지하0층 2
 
5.6%
지상3층/ 지하2층 1
 
2.8%

Length

2024-03-13T17:00:04.854189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:00:04.964156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하0층 18
25.0%
지하1층 17
23.6%
지상3층 14
19.4%
지상1층 8
11.1%
지상2층 8
11.1%
지상4층 6
 
8.3%
지하2층 1
 
1.4%
Distinct35
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T17:00:05.142216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.1666667
Min length4

Characters and Unicode

Total characters150
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 (%)94.4%

Sample

1st row786㎡
2nd row363㎡
3rd row496㎡
4th row465㎡
5th row641㎡
ValueCountFrequency (%)
467㎡ 2
 
5.6%
523㎡ 1
 
2.8%
898㎡ 1
 
2.8%
570㎡ 1
 
2.8%
336㎡ 1
 
2.8%
2190㎡ 1
 
2.8%
759㎡ 1
 
2.8%
245㎡ 1
 
2.8%
2982㎡ 1
 
2.8%
786㎡ 1
 
2.8%
Other values (25) 25
69.4%
2024-03-13T17:00:05.410753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
24.0%
6 21
14.0%
5 14
 
9.3%
4 12
 
8.0%
2 12
 
8.0%
7 11
 
7.3%
1 11
 
7.3%
8 10
 
6.7%
3 9
 
6.0%
9 8
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
76.0%
Other Symbol 36
 
24.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 21
18.4%
5 14
12.3%
4 12
10.5%
2 12
10.5%
7 11
9.6%
1 11
9.6%
8 10
8.8%
3 9
7.9%
9 8
 
7.0%
0 6
 
5.3%
Other Symbol
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 150
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
36
24.0%
6 21
14.0%
5 14
 
9.3%
4 12
 
8.0%
2 12
 
8.0%
7 11
 
7.3%
1 11
 
7.3%
8 10
 
6.7%
3 9
 
6.0%
9 8
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114
76.0%
CJK Compat 36
 
24.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
36
100.0%
ASCII
ValueCountFrequency (%)
6 21
18.4%
5 14
12.3%
4 12
10.5%
2 12
10.5%
7 11
9.6%
1 11
9.6%
8 10
8.8%
3 9
7.9%
9 8
 
7.0%
0 6
 
5.3%

대지총면적
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T17:00:05.618208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.75
Min length4

Characters and Unicode

Total characters171
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

Unique36 ?
Unique (%)100.0%

Sample

1st row878㎡
2nd row545㎡
3rd row645㎡
4th row14549㎡
5th row13411㎡
ValueCountFrequency (%)
878㎡ 1
 
2.8%
545㎡ 1
 
2.8%
684㎡ 1
 
2.8%
989㎡ 1
 
2.8%
571㎡ 1
 
2.8%
11938㎡ 1
 
2.8%
2288㎡ 1
 
2.8%
2750㎡ 1
 
2.8%
598㎡ 1
 
2.8%
1036㎡ 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T17:00:05.906309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
21.1%
1 26
15.2%
8 16
9.4%
2 16
9.4%
4 15
8.8%
5 14
 
8.2%
3 12
 
7.0%
0 11
 
6.4%
7 10
 
5.8%
9 8
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 135
78.9%
Other Symbol 36
 
21.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 26
19.3%
8 16
11.9%
2 16
11.9%
4 15
11.1%
5 14
10.4%
3 12
8.9%
0 11
8.1%
7 10
 
7.4%
9 8
 
5.9%
6 7
 
5.2%
Other Symbol
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
36
21.1%
1 26
15.2%
8 16
9.4%
2 16
9.4%
4 15
8.8%
5 14
 
8.2%
3 12
 
7.0%
0 11
 
6.4%
7 10
 
5.8%
9 8
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135
78.9%
CJK Compat 36
 
21.1%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
36
100.0%
ASCII
ValueCountFrequency (%)
1 26
19.3%
8 16
11.9%
2 16
11.9%
4 15
11.1%
5 14
10.4%
3 12
8.9%
0 11
8.1%
7 10
 
7.4%
9 8
 
5.9%
6 7
 
5.2%

공시차수
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
20231
30 
20191
20221
 
1
20211
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)5.6%

Sample

1st row20191
2nd row20231
3rd row20231
4th row20231
5th row20231

Common Values

ValueCountFrequency (%)
20231 30
83.3%
20191 4
 
11.1%
20221 1
 
2.8%
20211 1
 
2.8%

Length

2024-03-13T17:00:06.023454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T17:00:06.111106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 30
83.3%
20191 4
 
11.1%
20221 1
 
2.8%
20211 1
 
2.8%

주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T17:00:06.291253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20.5
Mean length18.305556
Min length15

Characters and Unicode

Total characters659
Distinct characters49
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울특별시 구로구 고척로25길 62
2nd row서울특별시 구로구 경인로 382
3rd row서울특별시 구로구 개봉로18길 37
4th row서울특별시 구로구 고척로33길 34
5th row서울특별시 구로구 개봉로16길 30-11
ValueCountFrequency (%)
서울특별시 36
25.0%
구로구 36
25.0%
고척로 3
 
2.1%
11 3
 
2.1%
6 2
 
1.4%
도림로 2
 
1.4%
개봉로18길 2
 
1.4%
신도림로 2
 
1.4%
22 2
 
1.4%
오류로8길 2
 
1.4%
Other values (53) 54
37.5%
2024-03-13T17:00:06.624691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
16.4%
76
11.5%
73
11.1%
39
 
5.9%
36
 
5.5%
36
 
5.5%
36
 
5.5%
36
 
5.5%
1 29
 
4.4%
22
 
3.3%
Other values (39) 168
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
64.9%
Decimal Number 119
 
18.1%
Space Separator 108
 
16.4%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
76
17.8%
73
17.1%
39
9.1%
36
8.4%
36
8.4%
36
8.4%
36
8.4%
22
 
5.1%
6
 
1.4%
6
 
1.4%
Other values (27) 62
14.5%
Decimal Number
ValueCountFrequency (%)
1 29
24.4%
2 21
17.6%
3 11
 
9.2%
6 10
 
8.4%
7 10
 
8.4%
5 9
 
7.6%
8 9
 
7.6%
0 8
 
6.7%
4 8
 
6.7%
9 4
 
3.4%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
64.9%
Common 231
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
76
17.8%
73
17.1%
39
9.1%
36
8.4%
36
8.4%
36
8.4%
36
8.4%
22
 
5.1%
6
 
1.4%
6
 
1.4%
Other values (27) 62
14.5%
Common
ValueCountFrequency (%)
108
46.8%
1 29
 
12.6%
2 21
 
9.1%
3 11
 
4.8%
6 10
 
4.3%
7 10
 
4.3%
5 9
 
3.9%
8 9
 
3.9%
0 8
 
3.5%
4 8
 
3.5%
Other values (2) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
64.9%
ASCII 231
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
46.8%
1 29
 
12.6%
2 21
 
9.1%
3 11
 
4.8%
6 10
 
4.3%
7 10
 
4.3%
5 9
 
3.9%
8 9
 
3.9%
0 8
 
3.5%
4 8
 
3.5%
Other values (2) 8
 
3.5%
Hangul
ValueCountFrequency (%)
76
17.8%
73
17.1%
39
9.1%
36
8.4%
36
8.4%
36
8.4%
36
8.4%
22
 
5.1%
6
 
1.4%
6
 
1.4%
Other values (27) 62
14.5%

Correlations

2024-03-13T17:00:06.956711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.5180.7940.9291.0000.0001.000
건축년도1.0001.0000.5181.0000.5330.9871.0000.6201.000
건물층수1.0001.0000.7940.5331.0000.9391.0000.0001.000
건물전용면적1.0001.0000.9290.9870.9391.0001.0001.0001.000
대지총면적1.0001.0001.0001.0001.0001.0001.0001.0001.000
공시차수1.0001.0000.0000.6200.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T17:00:07.050347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물층수설립유형공시차수
건물층수1.0000.4250.000
설립유형0.4251.0000.000
공시차수0.0000.0001.000
2024-03-13T17:00:07.121003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형건물층수공시차수
설립유형1.0000.4250.000
건물층수0.4251.0000.000
공시차수0.0000.0001.000

Missing values

2024-03-13T17:00:02.676625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T17:00:02.806435image/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

교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
0서울특별시교육청남부교육지원청1ecec08c-ed2f-b044-e053-0a32095ab044서울아람유치원사립(사인)2003년지상3층/ 지하1층786㎡878㎡20191서울특별시 구로구 고척로25길 62
1서울특별시교육청남부교육지원청1ecec08c-eecb-b044-e053-0a32095ab044정훈유치원사립(사인)1999년지상2층/ 지하0층363㎡545㎡20231서울특별시 구로구 경인로 382
2서울특별시교육청남부교육지원청1ecec08c-efa0-b044-e053-0a32095ab044미림유치원사립(사인)1986년지상3층/ 지하0층496㎡645㎡20231서울특별시 구로구 개봉로18길 37
3서울특별시교육청남부교육지원청1ecec08c-f052-b044-e053-0a32095ab044서울세곡초등학교병설유치원공립(병설)2013년지상1층/ 지하0층465㎡14549㎡20231서울특별시 구로구 고척로33길 34
4서울특별시교육청남부교육지원청1ecec08c-f1b3-b044-e053-0a32095ab044서울개봉초등학교병설유치원공립(병설)1971년지상4층/ 지하1층641㎡13411㎡20231서울특별시 구로구 개봉로16길 30-11
5서울특별시교육청남부교육지원청1ecec08c-f1b4-b044-e053-0a32095ab044서울영서초등학교병설유치원공립(병설)1979년지상1층/ 지하0층1577㎡12137㎡20231서울특별시 구로구 도림로20길 57
6서울특별시교육청남부교육지원청1ecec08c-f321-b044-e053-0a32095ab044나비유치원사립(사인)1982년지상3층/ 지하1층1075㎡1153㎡20221서울특별시 구로구 고척로 30
7서울특별시교육청남부교육지원청1ecec08c-f32a-b044-e053-0a32095ab044준희유치원사립(사인)1980년지상3층/ 지하0층108㎡112㎡20191서울특별시 구로구 경인로19길 8
8서울특별시교육청남부교육지원청1ecec08c-f3e4-b044-e053-0a32095ab044새두산유치원사립(사인)1998년지상2층/ 지하1층612㎡1184㎡20231서울특별시 구로구 도림로 59
9서울특별시교육청남부교육지원청1ecec08c-f3f7-b044-e053-0a32095ab044세희유치원사립(사인)1992년지상3층/ 지하0층696㎡14224㎡20231서울특별시 구로구 도림로 107
교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
26서울특별시교육청남부교육지원청1ecec08d-0630-b044-e053-0a32095ab044푸른동산유치원사립(사인)2013년지상3층/ 지하1층1853㎡684㎡20231서울특별시 구로구 서해안로 2201
27서울특별시교육청남부교육지원청1ecec08d-08be-b044-e053-0a32095ab044꿀벌유치원사립(법인)1989년지상1층/ 지하0층523㎡1036㎡20231서울특별시 구로구 디지털로27다길 15
28서울특별시교육청남부교육지원청1ecec08d-08c9-b044-e053-0a32095ab044일신유치원사립(사인)1985년지상3층/ 지하1층451㎡130㎡20191서울특별시 구로구 오류로8길 22
29서울특별시교육청남부교육지원청1ecec08d-099f-b044-e053-0a32095ab044버들유치원사립(사인)1982년지상3층/ 지하1층125㎡137㎡20191서울특별시 구로구 오류로8길 40
30서울특별시교육청남부교육지원청1ecec08d-0e01-b044-e053-0a32095ab044동아유치원사립(사인)1999년지상2층/ 지하1층768㎡780㎡20231서울특별시 구로구 신도림로 87
31서울특별시교육청남부교육지원청1ecec08d-0e10-b044-e053-0a32095ab044신도유치원사립(사인)1990년지상3층/ 지하1층324㎡264㎡20231서울특별시 구로구 구일로2길 45
32서울특별시교육청남부교육지원청1ecec08d-0f6d-b044-e053-0a32095ab044서울신미림초등학교병설유치원공립(병설)2002년지상1층/ 지하0층600㎡7258㎡20231서울특별시 구로구 신도림로 26
33서울특별시교육청남부교육지원청2e5397a8-bcbc-4691-accf-e2e60e8c5cfe서울고산초등학교병설유치원공립(병설)1991년지상3층/ 지하0층685㎡10376㎡20231서울특별시 구로구 중앙로 6
34서울특별시교육청남부교육지원청89ed1bdc-67a2-4124-a077-bc925d6a901a서울항동유치원공립(단설)2019년지상4층/ 지하1층2982㎡1600㎡20231서울특별시 구로구 연동로8길 15
35서울특별시교육청남부교육지원청dd6206b2-a72a-4bdd-992a-3922a54bdb4b서울오류남초등학교병설유치원공립(병설)1982년지상1층/ 지하0층459㎡758㎡20231서울특별시 구로구 서해안로24길 22