Overview

Dataset statistics

Number of variables11
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory91.8 B

Variable types

Categorical5
Text6

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,건축년도,건물층수,건물전용면적,대지총면적,공시차수,주소
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-20618/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
공시차수 is highly imbalanced (52.8%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
대지총면적 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:59:17.287969
Analysis finished2024-03-13 11:59:18.040542
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
서울특별시교육청
48 

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 48
100.0%

Length

2024-03-13T20:59:18.112450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:59:18.215192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 48
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
강서양천교육지원청
48 

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 48
100.0%

Length

2024-03-13T20:59:18.327360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:59:18.430871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강서양천교육지원청 48
100.0%

유치원코드
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T20:59:18.654008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1728
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

Unique48 ?
Unique (%)100.0%

Sample

1st row1dfcc6e7-c6ff-4843-b970-cfba072320b4
2nd row1ecec08c-ed7f-b044-e053-0a32095ab044
3rd row1ecec08c-ed80-b044-e053-0a32095ab044
4th row1ecec08c-ed81-b044-e053-0a32095ab044
5th row1ecec08c-eec5-b044-e053-0a32095ab044
ValueCountFrequency (%)
1dfcc6e7-c6ff-4843-b970-cfba072320b4 1
 
2.1%
1ecec08c-ed7f-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-08bb-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0120-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-0121-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-018d-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-02b0-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-04c8-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054c-b044-e053-0a32095ab044 1
 
2.1%
1ecec08d-054d-b044-e053-0a32095ab044 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T20:59:19.099116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 967
56.0%
Lowercase Letter 569
32.9%
Dash Punctuation 192
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 294
30.4%
4 192
19.9%
5 104
 
10.8%
3 99
 
10.2%
8 66
 
6.8%
9 63
 
6.5%
2 58
 
6.0%
1 58
 
6.0%
6 20
 
2.1%
7 13
 
1.3%
Lowercase Letter
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1159
67.1%
Latin 569
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 294
25.4%
4 192
16.6%
- 192
16.6%
5 104
 
9.0%
3 99
 
8.5%
8 66
 
5.7%
9 63
 
5.4%
2 58
 
5.0%
1 58
 
5.0%
6 20
 
1.7%
Latin
ValueCountFrequency (%)
e 149
26.2%
c 132
23.2%
a 109
19.2%
b 99
17.4%
d 45
 
7.9%
f 35
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 294
17.0%
4 192
11.1%
- 192
11.1%
e 149
8.6%
c 132
7.6%
a 109
 
6.3%
5 104
 
6.0%
3 99
 
5.7%
b 99
 
5.7%
8 66
 
3.8%
Other values (7) 292
16.9%

유치원명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T20:59:19.400835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.3125
Min length5

Characters and Unicode

Total characters351
Distinct characters66
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

Unique48 ?
Unique (%)100.0%

Sample

1st row서울강월초등학교병설유치원
2nd row새서울유치원
3rd row샘터유치원
4th row서울경인유치원
5th row솔샘유치원
ValueCountFrequency (%)
서울강월초등학교병설유치원 1
 
2.1%
새서울유치원 1
 
2.1%
한서유치원 1
 
2.1%
성보유치원 1
 
2.1%
어린이의정원유치원 1
 
2.1%
광영유치원 1
 
2.1%
서울강신초등학교병설유치원 1
 
2.1%
레인보우유치원 1
 
2.1%
세화유치원 1
 
2.1%
양서유치원 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T20:59:19.952844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 351
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 351
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 51
14.5%
치 48
13.7%
유 48
13.7%
서 18
 
5.1%
울 15
 
4.3%
등 14
 
4.0%
초 12
 
3.4%
학 12
 
3.4%
교 12
 
3.4%
병 12
 
3.4%
Other values (56) 109
31.1%

설립유형
Categorical

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
사립(사인)
29 
공립(병설)
12 
사립(법인)
5 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 29
60.4%
공립(병설) 12
25.0%
사립(법인) 5
 
10.4%
공립(단설) 2
 
4.2%

Length

2024-03-13T20:59:20.155066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:59:20.305814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 29
60.4%
공립(병설 12
25.0%
사립(법인 5
 
10.4%
공립(단설 2
 
4.2%

건축년도
Text

Distinct27
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T20:59:20.545078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters240
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 (%)27.1%

Sample

1st row1985년
2nd row1987년
3rd row1988년
4th row2004년
5th row1987년
ValueCountFrequency (%)
1988년 5
 
10.4%
1987년 3
 
6.2%
1995년 3
 
6.2%
2013년 3
 
6.2%
2000년 3
 
6.2%
1984년 2
 
4.2%
1980년 2
 
4.2%
2014년 2
 
4.2%
1986년 2
 
4.2%
1997년 2
 
4.2%
Other values (17) 21
43.8%
2024-03-13T20:59:21.087660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
년 48
20.0%
1 42
17.5%
9 40
16.7%
0 30
12.5%
8 27
11.2%
2 21
8.8%
7 9
 
3.8%
5 6
 
2.5%
3 6
 
2.5%
6 6
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
80.0%
Other Letter 48
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 42
21.9%
9 40
20.8%
0 30
15.6%
8 27
14.1%
2 21
10.9%
7 9
 
4.7%
5 6
 
3.1%
3 6
 
3.1%
6 6
 
3.1%
4 5
 
2.6%
Other Letter
ValueCountFrequency (%)
년 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
80.0%
Hangul 48
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 42
21.9%
9 40
20.8%
0 30
15.6%
8 27
14.1%
2 21
10.9%
7 9
 
4.7%
5 6
 
3.1%
3 6
 
3.1%
6 6
 
3.1%
4 5
 
2.6%
Hangul
ValueCountFrequency (%)
년 48
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
80.0%
Hangul 48
 
20.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
년 48
100.0%
ASCII
ValueCountFrequency (%)
1 42
21.9%
9 40
20.8%
0 30
15.6%
8 27
14.1%
2 21
10.9%
7 9
 
4.7%
5 6
 
3.1%
3 6
 
3.1%
6 6
 
3.1%
4 5
 
2.6%

건물층수
Categorical

Distinct9
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
지상2층/ 지하1층
13 
지상2층/ 지하0층
10 
지상1층/ 지하0층
7 
지상3층/ 지하1층
4 
지상1층/ 지하1층
3 
Other values (4)
11 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지상2층/ 지하1층 13
27.1%
지상2층/ 지하0층 10
20.8%
지상1층/ 지하0층 7
14.6%
지상3층/ 지하1층 4
 
8.3%
지상1층/ 지하1층 3
 
6.2%
지상4층/ 지하0층 3
 
6.2%
지상4층/ 지하1층 3
 
6.2%
지상3층/ 지하0층 3
 
6.2%
지상5층/ 지하1층 2
 
4.2%

Length

2024-03-13T20:59:21.270921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:59:21.421659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하1층 25
26.0%
지상2층 23
24.0%
지하0층 23
24.0%
지상1층 10
 
10.4%
지상3층 7
 
7.3%
지상4층 6
 
6.2%
지상5층 2
 
2.1%

건물전용면적
Text

Distinct46
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T20:59:21.724562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.1458333
Min length4

Characters and Unicode

Total characters199
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

Unique44 ?
Unique (%)91.7%

Sample

1st row462㎡
2nd row616㎡
3rd row428㎡
4th row923㎡
5th row653㎡
ValueCountFrequency (%)
690㎡ 2
 
4.2%
616㎡ 2
 
4.2%
302㎡ 1
 
2.1%
379㎡ 1
 
2.1%
511㎡ 1
 
2.1%
733㎡ 1
 
2.1%
1395㎡ 1
 
2.1%
669㎡ 1
 
2.1%
502㎡ 1
 
2.1%
543㎡ 1
 
2.1%
Other values (36) 36
75.0%
2024-03-13T20:59:22.154168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 48
24.1%
1 23
11.6%
6 19
 
9.5%
3 18
 
9.0%
9 16
 
8.0%
4 15
 
7.5%
8 14
 
7.0%
5 14
 
7.0%
0 12
 
6.0%
2 11
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 151
75.9%
Other Symbol 48
 
24.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 23
15.2%
6 19
12.6%
3 18
11.9%
9 16
10.6%
4 15
9.9%
8 14
9.3%
5 14
9.3%
0 12
7.9%
2 11
7.3%
7 9
 
6.0%
Other Symbol
ValueCountFrequency (%)
㎡ 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 199
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 48
24.1%
1 23
11.6%
6 19
 
9.5%
3 18
 
9.0%
9 16
 
8.0%
4 15
 
7.5%
8 14
 
7.0%
5 14
 
7.0%
0 12
 
6.0%
2 11
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 151
75.9%
CJK Compat 48
 
24.1%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 48
100.0%
ASCII
ValueCountFrequency (%)
1 23
15.2%
6 19
12.6%
3 18
11.9%
9 16
10.6%
4 15
9.9%
8 14
9.3%
5 14
9.3%
0 12
7.9%
2 11
7.3%
7 9
 
6.0%

대지총면적
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T20:59:22.479362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.5625
Min length4

Characters and Unicode

Total characters219
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

Unique48 ?
Unique (%)100.0%

Sample

1st row621㎡
2nd row990㎡
3rd row900㎡
4th row3525㎡
5th row1313㎡
ValueCountFrequency (%)
621㎡ 1
 
2.1%
990㎡ 1
 
2.1%
671㎡ 1
 
2.1%
1435㎡ 1
 
2.1%
17358㎡ 1
 
2.1%
1630㎡ 1
 
2.1%
750㎡ 1
 
2.1%
701㎡ 1
 
2.1%
925㎡ 1
 
2.1%
414㎡ 1
 
2.1%
Other values (38) 38
79.2%
2024-03-13T20:59:22.993066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 48
21.9%
1 37
16.9%
0 19
 
8.7%
6 17
 
7.8%
9 17
 
7.8%
4 17
 
7.8%
3 16
 
7.3%
8 16
 
7.3%
2 11
 
5.0%
5 11
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 171
78.1%
Other Symbol 48
 
21.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 37
21.6%
0 19
11.1%
6 17
9.9%
9 17
9.9%
4 17
9.9%
3 16
9.4%
8 16
9.4%
2 11
 
6.4%
5 11
 
6.4%
7 10
 
5.8%
Other Symbol
ValueCountFrequency (%)
㎡ 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 48
21.9%
1 37
16.9%
0 19
 
8.7%
6 17
 
7.8%
9 17
 
7.8%
4 17
 
7.8%
3 16
 
7.3%
8 16
 
7.3%
2 11
 
5.0%
5 11
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 171
78.1%
CJK Compat 48
 
21.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 48
100.0%
ASCII
ValueCountFrequency (%)
1 37
21.6%
0 19
11.1%
6 17
9.9%
9 17
9.9%
4 17
9.9%
3 16
9.4%
8 16
9.4%
2 11
 
6.4%
5 11
 
6.4%
7 10
 
5.8%

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size516.0 B
20231
38 
20181
4 
20191
4 
20201
 
1
20221
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)4.2%

Sample

1st row20231
2nd row20231
3rd row20231
4th row20231
5th row20181

Common Values

ValueCountFrequency (%)
20231 38
79.2%
20181 4
 
8.3%
20191 4
 
8.3%
20201 1
 
2.1%
20221 1
 
2.1%

Length

2024-03-13T20:59:23.227680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:59:23.373128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 38
79.2%
20181 4
 
8.3%
20191 4
 
8.3%
20201 1
 
2.1%
20221 1
 
2.1%

주소
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-13T20:59:23.634543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length19.041667
Min length16

Characters and Unicode

Total characters914
Distinct characters43
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

Unique46 ?
Unique (%)95.8%

Sample

1st row서울특별시 양천구 신월로 97
2nd row서울특별시 양천구 목동서로 340
3rd row서울특별시 양천구 신월로 99
4th row서울특별시 양천구 안양천로 1009
5th row서울특별시 양천구 목동서로 130
ValueCountFrequency (%)
서울특별시 48
25.0%
양천구 48
25.0%
목동서로 5
 
2.6%
목동동로 4
 
2.1%
22 3
 
1.6%
30 3
 
1.6%
130 2
 
1.0%
280 2
 
1.0%
13 2
 
1.0%
38 2
 
1.0%
Other values (67) 73
38.0%
2024-03-13T20:59:24.090872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
15.8%
서 54
 
5.9%
천 49
 
5.4%
양 49
 
5.4%
구 48
 
5.3%
로 48
 
5.3%
시 48
 
5.3%
별 48
 
5.3%
특 48
 
5.3%
울 48
 
5.3%
Other values (33) 330
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
66.0%
Decimal Number 160
 
17.5%
Space Separator 144
 
15.8%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%
Decimal Number
ValueCountFrequency (%)
1 28
17.5%
2 27
16.9%
3 22
13.8%
0 22
13.8%
4 13
8.1%
8 12
7.5%
9 11
 
6.9%
7 10
 
6.2%
6 8
 
5.0%
5 7
 
4.4%
Space Separator
ValueCountFrequency (%)
144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 603
66.0%
Common 311
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%
Common
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
66.0%
ASCII 311
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
46.3%
1 28
 
9.0%
2 27
 
8.7%
3 22
 
7.1%
0 22
 
7.1%
4 13
 
4.2%
8 12
 
3.9%
9 11
 
3.5%
7 10
 
3.2%
6 8
 
2.6%
Other values (2) 14
 
4.5%
Hangul
ValueCountFrequency (%)
서 54
9.0%
천 49
 
8.1%
양 49
 
8.1%
구 48
 
8.0%
로 48
 
8.0%
시 48
 
8.0%
별 48
 
8.0%
특 48
 
8.0%
울 48
 
8.0%
동 31
 
5.1%
Other values (21) 132
21.9%

Correlations

2024-03-13T20:59:24.243073image/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
설립유형1.0001.0001.0000.7440.5740.8501.0000.0000.000
건축년도1.0001.0000.7441.0000.8550.8661.0000.0001.000
건물층수1.0001.0000.5740.8551.0000.9041.0000.0001.000
건물전용면적1.0001.0000.8500.8660.9041.0001.0001.0000.988
대지총면적1.0001.0001.0001.0001.0001.0001.0001.0001.000
공시차수1.0001.0000.0000.0000.0001.0001.0001.0000.703
주소1.0001.0000.0001.0001.0000.9881.0000.7031.000
2024-03-13T20:59:24.373371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물층수설립유형공시차수
건물층수1.0000.3790.000
설립유형0.3791.0000.000
공시차수0.0000.0001.000
2024-03-13T20:59:24.477884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형건물층수공시차수
설립유형1.0000.3790.000
건물층수0.3791.0000.000
공시차수0.0000.0001.000

Missing values

2024-03-13T20:59:17.754739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:59:17.981500image/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
0서울특별시교육청강서양천교육지원청1dfcc6e7-c6ff-4843-b970-cfba072320b4서울강월초등학교병설유치원공립(병설)1985년지상2층/ 지하0층462㎡621㎡20231서울특별시 양천구 신월로 97
1서울특별시교육청강서양천교육지원청1ecec08c-ed7f-b044-e053-0a32095ab044새서울유치원사립(사인)1987년지상2층/ 지하1층616㎡990㎡20231서울특별시 양천구 목동서로 340
2서울특별시교육청강서양천교육지원청1ecec08c-ed80-b044-e053-0a32095ab044샘터유치원사립(사인)1988년지상2층/ 지하0층428㎡900㎡20231서울특별시 양천구 신월로 99
3서울특별시교육청강서양천교육지원청1ecec08c-ed81-b044-e053-0a32095ab044서울경인유치원공립(단설)2004년지상1층/ 지하1층923㎡3525㎡20231서울특별시 양천구 안양천로 1009
4서울특별시교육청강서양천교육지원청1ecec08c-eec5-b044-e053-0a32095ab044솔샘유치원사립(사인)1987년지상2층/ 지하0층653㎡1313㎡20181서울특별시 양천구 목동서로 130
5서울특별시교육청강서양천교육지원청1ecec08c-ef9b-b044-e053-0a32095ab044서울월촌초등학교병설유치원공립(병설)1985년지상1층/ 지하0층1588㎡12067㎡20231서울특별시 양천구 목동중앙로 132
6서울특별시교육청강서양천교육지원청1ecec08c-ef9d-b044-e053-0a32095ab044솔밭유치원사립(사인)1984년지상2층/ 지하1층280㎡371㎡20181서울특별시 양천구 신월로10길 2-1
7서울특별시교육청강서양천교육지원청1ecec08c-f320-b044-e053-0a32095ab044원일유치원사립(법인)1987년지상2층/ 지하1층506㎡1261㎡20231서울특별시 양천구 목동동로 350
8서울특별시교육청강서양천교육지원청1ecec08c-f3d6-b044-e053-0a32095ab044서울영도초등학교병설유치원공립(병설)2003년지상1층/ 지하0층809㎡12606㎡20231서울특별시 양천구 목동중앙로 70
9서울특별시교육청강서양천교육지원청1ecec08c-f448-b044-e053-0a32095ab044대한유치원사립(사인)1984년지상2층/ 지하1층356㎡409㎡20201서울특별시 양천구 오목로13길 31
교육청명교육지원청명유치원코드유치원명설립유형건축년도건물층수건물전용면적대지총면적공시차수주소
38서울특별시교육청강서양천교육지원청1ecec08d-0c03-b044-e053-0a32095ab044빛나유치원사립(사인)1988년지상1층/ 지하1층421㎡916㎡20231서울특별시 양천구 목동로 212
39서울특별시교육청강서양천교육지원청1ecec08d-0c04-b044-e053-0a32095ab044서울신기초등학교병설유치원공립(병설)2000년지상1층/ 지하0층494㎡1610㎡20231서울특별시 양천구 신정로 292
40서울특별시교육청강서양천교육지원청1ecec08d-0e6c-b044-e053-0a32095ab044경성유치원사립(사인)1995년지상2층/ 지하0층983㎡1016㎡20231서울특별시 양천구 목동로3길 57
41서울특별시교육청강서양천교육지원청1ecec08d-0e6d-b044-e053-0a32095ab044등촌유치원사립(사인)1980년지상2층/ 지하0층794㎡724㎡20231서울특별시 양천구 목동중앙북로8길 46
42서울특별시교육청강서양천교육지원청1ecec08d-0ef0-b044-e053-0a32095ab044꿈나무유치원사립(사인)2012년지상2층/ 지하1층554㎡960㎡20231서울특별시 양천구 목동서로 280
43서울특별시교육청강서양천교육지원청1fc6dd86-cccf-d1d2-e053-0a32095ad1d2목동유치원사립(사인)2014년지상4층/ 지하1층1087㎡554㎡20231서울특별시 양천구 오목로42길 13
44서울특별시교육청강서양천교육지원청8abcadee-6df5-4c85-9e38-cba5a2d519a5서울양동초등학교병설유치원공립(병설)1972년지상2층/ 지하1층1759㎡1860㎡20231서울특별시 양천구 오목로23길 24
45서울특별시교육청강서양천교육지원청9c26aa7f-0f07-4613-9136-4984c723803f꿈꾸는유치원사립(사인)2016년지상4층/ 지하0층618㎡311㎡20231서울특별시 양천구 오목로4길 8
46서울특별시교육청강서양천교육지원청a59a057e-4f5c-411a-bb2a-60068691c766세신유치원사립(법인)2014년지상2층/ 지하1층379㎡1178㎡20231서울특별시 양천구 목동동로1길 38
47서울특별시교육청강서양천교육지원청d72d2e90-cf0d-4a9b-8697-a47e692aa3ea서울신정유치원공립(단설)2013년지상5층/ 지하1층1971㎡940㎡20231서울특별시 양천구 신정로7길 81-4