Overview

Dataset statistics

Number of variables11
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory92.1 B

Variable types

Categorical5
Text6

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,건축년도,건물층수,건물전용면적,대지총면적,공시차수,주소
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-20622/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
건물층수 is highly overall correlated with 공시차수High correlation
공시차수 is highly overall correlated with 건물층수High correlation
공시차수 is highly imbalanced (62.9%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
건물전용면적 has unique valuesUnique
대지총면적 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 17:26:01.076006
Analysis finished2024-03-13 17:26:01.625229
Duration0.55 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

2024-03-14T02:26:01.688555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:26:01.762752image/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

2024-03-14T02:26:01.834872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:26:01.906132image/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
2024-03-14T02:26:02.071466image/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-0726-b044-e053-0a32095ab044 1
 
2.4%
bee9e663-cc40-4da3-a26e-2b77a1a3e3f9 1
 
2.4%
1ecec08d-013f-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-01d4-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0336-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0555-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-0568-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-056a-b044-e053-0a32095ab044 1
 
2.4%
1ecec08d-056b-b044-e053-0a32095ab044 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T02:26:02.358599image/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
2024-03-14T02:26:02.567273image/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%
서울당중초등학교병설유치원 1
 
2.4%
서울우신초등학교병설유치원 1
 
2.4%
여의도유치원 1
 
2.4%
푸른나라유치원 1
 
2.4%
성요셉유치원 1
 
2.4%
대림유치원 1
 
2.4%
신라유치원 1
 
2.4%
영은유치원 1
 
2.4%
영중유치원 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T02:26:02.850086image/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%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 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%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 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%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 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%
초 12
 
3.6%
병 12
 
3.6%
울 12
 
3.6%
서 12
 
3.6%
학 12
 
3.6%
교 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

2024-03-14T02:26:02.950269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:26:03.027457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
47.6%
공립(병설 12
28.6%
사립(법인 10
23.8%

건축년도
Text

Distinct26
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:26:03.161245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters210
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 (%)31.0%

Sample

1st row1954년
2nd row1998년
3rd row1998년
4th row1988년
5th row1979년
ValueCountFrequency (%)
1988년 3
 
7.1%
1998년 3
 
7.1%
2000년 3
 
7.1%
1989년 2
 
4.8%
1984년 2
 
4.8%
1983년 2
 
4.8%
1982년 2
 
4.8%
1976년 2
 
4.8%
1986년 2
 
4.8%
1991년 2
 
4.8%
Other values (16) 19
45.2%
2024-03-14T02:26:03.394516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 45
21.4%
년 42
20.0%
1 39
18.6%
8 23
11.0%
0 22
10.5%
2 16
 
7.6%
7 6
 
2.9%
6 6
 
2.9%
5 4
 
1.9%
4 4
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 168
80.0%
Other Letter 42
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 45
26.8%
1 39
23.2%
8 23
13.7%
0 22
13.1%
2 16
 
9.5%
7 6
 
3.6%
6 6
 
3.6%
5 4
 
2.4%
4 4
 
2.4%
3 3
 
1.8%
Other Letter
ValueCountFrequency (%)
년 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 168
80.0%
Hangul 42
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 45
26.8%
1 39
23.2%
8 23
13.7%
0 22
13.1%
2 16
 
9.5%
7 6
 
3.6%
6 6
 
3.6%
5 4
 
2.4%
4 4
 
2.4%
3 3
 
1.8%
Hangul
ValueCountFrequency (%)
년 42
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 168
80.0%
Hangul 42
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 45
26.8%
1 39
23.2%
8 23
13.7%
0 22
13.1%
2 16
 
9.5%
7 6
 
3.6%
6 6
 
3.6%
5 4
 
2.4%
4 4
 
2.4%
3 3
 
1.8%
Hangul
ValueCountFrequency (%)
년 42
100.0%

건물층수
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
지상1층/ 지하0층
10 
지상3층/ 지하0층
7 
지상3층/ 지하1층
7 
지상2층/ 지하0층
7 
지상2층/ 지하1층
5 
Other values (4)
6 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)7.1%

Sample

1st row지상1층/ 지하0층
2nd row지상2층/ 지하1층
3rd row지상1층/ 지하0층
4th row지상1층/ 지하0층
5th row지상5층/ 지하0층

Common Values

ValueCountFrequency (%)
지상1층/ 지하0층 10
23.8%
지상3층/ 지하0층 7
16.7%
지상3층/ 지하1층 7
16.7%
지상2층/ 지하0층 7
16.7%
지상2층/ 지하1층 5
11.9%
지상4층/ 지하0층 3
 
7.1%
지상5층/ 지하0층 1
 
2.4%
지상2층/ 지하2층 1
 
2.4%
지상4층/ 지하1층 1
 
2.4%

Length

2024-03-14T02:26:03.493515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:26:03.583012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하0층 28
33.3%
지상3층 14
16.7%
지하1층 13
15.5%
지상2층 13
15.5%
지상1층 10
 
11.9%
지상4층 4
 
4.8%
지상5층 1
 
1.2%
지하2층 1
 
1.2%

건물전용면적
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:26:03.767741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.1904762
Min length4

Characters and Unicode

Total characters176
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row695㎡
2nd row562㎡
3rd row504㎡
4th row413㎡
5th row1657㎡
ValueCountFrequency (%)
695㎡ 1
 
2.4%
409㎡ 1
 
2.4%
989㎡ 1
 
2.4%
713㎡ 1
 
2.4%
392㎡ 1
 
2.4%
432㎡ 1
 
2.4%
174㎡ 1
 
2.4%
471㎡ 1
 
2.4%
435㎡ 1
 
2.4%
1140㎡ 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T02:26:04.059939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 42
23.9%
9 21
11.9%
4 21
11.9%
1 16
 
9.1%
3 15
 
8.5%
5 14
 
8.0%
2 14
 
8.0%
6 9
 
5.1%
8 9
 
5.1%
0 8
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 134
76.1%
Other Symbol 42
 
23.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 21
15.7%
4 21
15.7%
1 16
11.9%
3 15
11.2%
5 14
10.4%
2 14
10.4%
6 9
6.7%
8 9
6.7%
0 8
 
6.0%
7 7
 
5.2%
Other Symbol
ValueCountFrequency (%)
㎡ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 42
23.9%
9 21
11.9%
4 21
11.9%
1 16
 
9.1%
3 15
 
8.5%
5 14
 
8.0%
2 14
 
8.0%
6 9
 
5.1%
8 9
 
5.1%
0 8
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134
76.1%
CJK Compat 42
 
23.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 42
100.0%
ASCII
ValueCountFrequency (%)
9 21
15.7%
4 21
15.7%
1 16
11.9%
3 15
11.2%
5 14
10.4%
2 14
10.4%
6 9
6.7%
8 9
6.7%
0 8
 
6.0%
7 7
 
5.2%

대지총면적
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2024-03-14T02:26:04.244228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.4761905
Min length4

Characters and Unicode

Total characters188
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

Unique42 ?
Unique (%)100.0%

Sample

1st row3630㎡
2nd row562㎡
3rd row862㎡
4th row665㎡
5th row11978㎡
ValueCountFrequency (%)
3630㎡ 1
 
2.4%
17180㎡ 1
 
2.4%
7845㎡ 1
 
2.4%
666㎡ 1
 
2.4%
238㎡ 1
 
2.4%
498㎡ 1
 
2.4%
174㎡ 1
 
2.4%
516㎡ 1
 
2.4%
435㎡ 1
 
2.4%
900㎡ 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T02:26:04.771506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 42
22.3%
6 20
10.6%
1 18
9.6%
7 16
 
8.5%
5 16
 
8.5%
8 15
 
8.0%
3 14
 
7.4%
4 14
 
7.4%
2 14
 
7.4%
0 11
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 146
77.7%
Other Symbol 42
 
22.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 20
13.7%
1 18
12.3%
7 16
11.0%
5 16
11.0%
8 15
10.3%
3 14
9.6%
4 14
9.6%
2 14
9.6%
0 11
7.5%
9 8
 
5.5%
Other Symbol
ValueCountFrequency (%)
㎡ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 42
22.3%
6 20
10.6%
1 18
9.6%
7 16
 
8.5%
5 16
 
8.5%
8 15
 
8.0%
3 14
 
7.4%
4 14
 
7.4%
2 14
 
7.4%
0 11
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 146
77.7%
CJK Compat 42
 
22.3%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 42
100.0%
ASCII
ValueCountFrequency (%)
6 20
13.7%
1 18
12.3%
7 16
11.0%
5 16
11.0%
8 15
10.3%
3 14
9.6%
4 14
9.6%
2 14
9.6%
0 11
7.5%
9 8
 
5.5%

공시차수
Categorical

HIGH CORRELATION  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

2024-03-14T02:26:04.872275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T02:26:04.945749image/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
2024-03-14T02:26:05.117547image/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%
3 2
 
1.2%
9 2
 
1.2%
양산로 2
 
1.2%
8 2
 
1.2%
도신로 2
 
1.2%
대방천로 2
 
1.2%
Other values (65) 65
38.7%
2024-03-14T02:26:05.417720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
15.5%
영 46
 
5.7%
서 43
 
5.3%
시 43
 
5.3%
등 43
 
5.3%
포 43
 
5.3%
특 42
 
5.2%
별 42
 
5.2%
구 42
 
5.2%
울 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%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 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%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 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%
시 43
 
7.9%
등 43
 
7.9%
포 43
 
7.9%
특 42
 
7.7%
별 42
 
7.7%
구 42
 
7.7%
울 42
 
7.7%
로 42
 
7.7%
Other values (33) 118
21.6%

Correlations

2024-03-14T02:26:05.496015image/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
설립유형1.0001.0001.0000.0000.4331.0001.0000.1191.000
건축년도1.0001.0000.0001.0000.0001.0001.0000.0001.000
건물층수1.0001.0000.4330.0001.0001.0001.0000.6011.000
건물전용면적1.0001.0001.0001.0001.0001.0001.0001.0001.000
대지총면적1.0001.0001.0001.0001.0001.0001.0001.0001.000
공시차수1.0001.0000.1190.0000.6011.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T02:26:05.584298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물층수설립유형공시차수
건물층수1.0000.1830.547
설립유형0.1831.0000.192
공시차수0.5470.1921.000
2024-03-14T02:26:05.659574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형건물층수공시차수
설립유형1.0000.1830.192
건물층수0.1831.0000.547
공시차수0.1920.5471.000

Missing values

2024-03-14T02:26:01.419145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T02:26:01.566885image/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-ed30-b044-e053-0a32095ab044성모유치원사립(법인)1954년지상1층/ 지하0층695㎡3630㎡20231서울특별시 영등포구 가마산로89길 7
1서울특별시교육청남부교육지원청1ecec08c-eecc-b044-e053-0a32095ab044큰나무유치원사립(사인)1998년지상2층/ 지하1층562㎡562㎡20231서울특별시 영등포구 도신로 31
2서울특별시교육청남부교육지원청1ecec08c-eecd-b044-e053-0a32095ab044평강유치원사립(사인)1998년지상1층/ 지하0층504㎡862㎡20231서울특별시 영등포구 신길로 27
3서울특별시교육청남부교육지원청1ecec08c-efb3-b044-e053-0a32095ab044은하유치원사립(법인)1988년지상1층/ 지하0층413㎡665㎡20231서울특별시 영등포구 당산로28길 11
4서울특별시교육청남부교육지원청1ecec08c-f1b5-b044-e053-0a32095ab044서울윤중초등학교병설유치원공립(병설)1979년지상5층/ 지하0층1657㎡11978㎡20231서울특별시 영등포구 여의나루로2길 14
5서울특별시교육청남부교육지원청1ecec08c-f497-b044-e053-0a32095ab044무지개영재유치원사립(법인)1974년지상3층/ 지하0층1222㎡481㎡20231서울특별시 영등포구 양산로17길 8
6서울특별시교육청남부교육지원청1ecec08c-f600-b044-e053-0a32095ab044살레시오성미유치원사립(법인)2008년지상2층/ 지하2층2140㎡20184㎡20231서울특별시 영등포구 신길로 93
7서울특별시교육청남부교육지원청1ecec08c-f7c4-b044-e053-0a32095ab044한영유치원사립(사인)2000년지상4층/ 지하0층384㎡848㎡20231서울특별시 영등포구 영중로41길 5
8서울특별시교육청남부교육지원청1ecec08c-f88d-b044-e053-0a32095ab044동천유치원사립(사인)1995년지상3층/ 지하1층354㎡527㎡20231서울특별시 영등포구 신길로40길 10
9서울특별시교육청남부교육지원청1ecec08c-f88e-b044-e053-0a32095ab044명신유치원사립(법인)1991년지상2층/ 지하0층419㎡973㎡20231서울특별시 영등포구 신길로41라길 13-9
교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
32서울특별시교육청남부교육지원청1ecec08d-080b-b044-e053-0a32095ab044서울대동초등학교병설유치원공립(병설)1980년지상3층/ 지하0층543㎡503㎡20231서울특별시 영등포구 대림로21길 6
33서울특별시교육청남부교육지원청1ecec08d-0b19-b044-e053-0a32095ab044성지유치원사립(사인)2002년지상2층/ 지하1층459㎡550㎡20231서울특별시 영등포구 도신로29길 28
34서울특별시교육청남부교육지원청1ecec08d-0b39-b044-e053-0a32095ab044서울대방초등학교병설유치원공립(병설)1962년지상2층/ 지하0층1995㎡21732㎡20231서울특별시 영등포구 여의대방로35길 14
35서울특별시교육청남부교육지원청1ecec08d-0d36-b044-e053-0a32095ab044침례유치원사립(법인)2001년지상2층/ 지하0층899㎡1667㎡20231서울특별시 영등포구 국제금융로 118
36서울특별시교육청남부교육지원청1ecec08d-0d37-b044-e053-0a32095ab044한신혜원유치원사립(사인)1996년지상3층/ 지하1층645㎡645㎡20231서울특별시 영등포구 양평로24길 9
37서울특별시교육청남부교육지원청1ecec08d-0e0f-b044-e053-0a32095ab044신길에덴유치원사립(사인)2000년지상3층/ 지하1층457㎡408㎡20231서울특별시 영등포구 신길로38길 21
38서울특별시교육청남부교육지원청1ecec08d-0e56-b044-e053-0a32095ab044서울영림초등학교병설유치원공립(병설)1982년지상1층/ 지하0층639㎡8063㎡20231서울특별시 영등포구 시흥대로173길 14
39서울특별시교육청남부교육지원청514a9da1-09dd-41f1-80ad-6ae2336cc998서울대길초등학교병설유치원공립(병설)1983년지상1층/ 지하0층439㎡16467㎡20231서울특별시 영등포구 대방천로 206
40서울특별시교육청남부교육지원청bee9e663-cc40-4da3-a26e-2b77a1a3e3f9서울우신초등학교병설유치원공립(병설)2000년지상3층/ 지하1층989㎡7845㎡20231서울특별시 영등포구 신길로 190
41서울특별시교육청남부교육지원청c295b114-3f1c-40a9-85ec-0999d036c98c서울선유초등학교병설유치원공립(병설)1984년지상1층/ 지하0층235㎡8962㎡20231서울특별시 영등포구 선유로43가길 14