Overview

Dataset statistics

Number of variables13
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory108.5 B

Variable types

Categorical6
Text7

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-20635/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
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 14:10:13.269407
Analysis finished2024-03-13 14:10:14.141506
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
서울특별시교육청
38 

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 38
100.0%

Length

2024-03-13T23:10:14.530131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:14.636230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 38
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
동부교육지원청
38 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부교육지원청 38
100.0%

Length

2024-03-13T23:10:14.734496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:14.824721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T23:10:15.029801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1368
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

Unique38 ?
Unique (%)100.0%

Sample

1st row1ecec08c-fb77-b044-e053-0a32095ab044
2nd row1ecec08d-0374-b044-e053-0a32095ab044
3rd rowb0005379-c35f-4cdf-8d60-e1c2bd49b158
4th row4ce05486-64ac-428e-84b9-69c07789c249
5th row0764f8c8-364c-495b-9fbc-b389148b7b4f
ValueCountFrequency (%)
1ecec08c-fb77-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-09a8-b044-e053-0a32095ab044 1
 
2.6%
c2e09cc2-cdd2-4105-ba11-7fe02b7e47f8 1
 
2.6%
1ecec08c-ff1e-b044-e053-0a32095ab044 1
 
2.6%
1ecec08c-ffcd-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-01ff-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0376-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-078d-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0831-b044-e053-0a32095ab044 1
 
2.6%
1ecec08d-0a6b-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T23:10:15.405219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 148
10.8%
e 107
 
7.8%
c 104
 
7.6%
b 86
 
6.3%
5 79
 
5.8%
a 79
 
5.8%
3 73
 
5.3%
9 53
 
3.9%
Other values (7) 270
19.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 775
56.7%
Lowercase Letter 441
32.2%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 217
28.0%
4 148
19.1%
5 79
 
10.2%
3 73
 
9.4%
9 53
 
6.8%
8 53
 
6.8%
1 51
 
6.6%
2 48
 
6.2%
7 31
 
4.0%
6 22
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
e 107
24.3%
c 104
23.6%
b 86
19.5%
a 79
17.9%
f 34
 
7.7%
d 31
 
7.0%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 927
67.8%
Latin 441
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 217
23.4%
- 152
16.4%
4 148
16.0%
5 79
 
8.5%
3 73
 
7.9%
9 53
 
5.7%
8 53
 
5.7%
1 51
 
5.5%
2 48
 
5.2%
7 31
 
3.3%
Latin
ValueCountFrequency (%)
e 107
24.3%
c 104
23.6%
b 86
19.5%
a 79
17.9%
f 34
 
7.7%
d 31
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 217
15.9%
- 152
11.1%
4 148
10.8%
e 107
 
7.8%
c 104
 
7.6%
b 86
 
6.3%
5 79
 
5.8%
a 79
 
5.8%
3 73
 
5.3%
9 53
 
3.9%
Other values (7) 270
19.7%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T23:10:15.681332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13.5
Mean length7.9473684
Min length5

Characters and Unicode

Total characters302
Distinct characters64
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

Unique38 ?
Unique (%)100.0%

Sample

1st row나래유치원
2nd row세종유치원
3rd row서울봉화초등학교병설유치원
4th row정암유치원
5th row서울신현초등학교병설유치원
ValueCountFrequency (%)
나래유치원 1
 
2.6%
예원유치원 1
 
2.6%
서울양원숲초등학교병설유치원 1
 
2.6%
색동유치원 1
 
2.6%
동성유치원 1
 
2.6%
이루니유치원 1
 
2.6%
수산유치원 1
 
2.6%
서울동원초등학교병설유치원 1
 
2.6%
누리에유치원 1
 
2.6%
서울새솔유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T23:10:16.084080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
설 13
 
4.3%
병 13
 
4.3%
초 13
 
4.3%
등 13
 
4.3%
학 13
 
4.3%
Other values (54) 91
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 302
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
설 13
 
4.3%
병 13
 
4.3%
초 13
 
4.3%
등 13
 
4.3%
학 13
 
4.3%
Other values (54) 91
30.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 302
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
설 13
 
4.3%
병 13
 
4.3%
초 13
 
4.3%
등 13
 
4.3%
학 13
 
4.3%
Other values (54) 91
30.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 302
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 41
13.6%
유 38
12.6%
치 38
12.6%
서 15
 
5.0%
울 14
 
4.6%
설 13
 
4.3%
병 13
 
4.3%
초 13
 
4.3%
등 13
 
4.3%
학 13
 
4.3%
Other values (54) 91
30.1%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
21 
공립(병설)
13 
사립(법인)
3 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 21
55.3%
공립(병설) 13
34.2%
사립(법인) 3
 
7.9%
공립(단설) 1
 
2.6%

Length

2024-03-13T23:10:16.235065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:16.362015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 21
55.3%
공립(병설 13
34.2%
사립(법인 3
 
7.9%
공립(단설 1
 
2.6%

교실수
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
4개
8 
6개
6 
3개
6 
5개
6 
7개
5 
Other values (5)
7 

Length

Max length3
Median length2
Mean length2.0526316
Min length2

Unique

Unique4 ?
Unique (%)10.5%

Sample

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

Common Values

ValueCountFrequency (%)
4개 8
21.1%
6개 6
15.8%
3개 6
15.8%
5개 6
15.8%
7개 5
13.2%
9개 3
 
7.9%
2개 1
 
2.6%
8개 1
 
2.6%
17개 1
 
2.6%
15개 1
 
2.6%

Length

2024-03-13T23:10:16.501846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:16.674336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4개 8
21.1%
6개 6
15.8%
3개 6
15.8%
5개 6
15.8%
7개 5
13.2%
9개 3
 
7.9%
2개 1
 
2.6%
8개 1
 
2.6%
17개 1
 
2.6%
15개 1
 
2.6%

교실면적
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T23:10:16.869233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.0263158
Min length4

Characters and Unicode

Total characters153
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 (%)94.7%

Sample

1st row490㎡
2nd row120㎡
3rd row182㎡
4th row274㎡
5th row245㎡
ValueCountFrequency (%)
245㎡ 2
 
5.3%
490㎡ 1
 
2.6%
925㎡ 1
 
2.6%
324㎡ 1
 
2.6%
419㎡ 1
 
2.6%
865㎡ 1
 
2.6%
323㎡ 1
 
2.6%
576㎡ 1
 
2.6%
384㎡ 1
 
2.6%
329㎡ 1
 
2.6%
Other values (27) 27
71.1%
2024-03-13T23:10:17.311240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 38
24.8%
4 16
10.5%
2 15
 
9.8%
3 15
 
9.8%
5 13
 
8.5%
1 11
 
7.2%
8 11
 
7.2%
0 11
 
7.2%
9 9
 
5.9%
6 9
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
75.2%
Other Symbol 38
 
24.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 16
13.9%
2 15
13.0%
3 15
13.0%
5 13
11.3%
1 11
9.6%
8 11
9.6%
0 11
9.6%
9 9
7.8%
6 9
7.8%
7 5
 
4.3%
Other Symbol
ValueCountFrequency (%)
㎡ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 153
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 38
24.8%
4 16
10.5%
2 15
 
9.8%
3 15
 
9.8%
5 13
 
8.5%
1 11
 
7.2%
8 11
 
7.2%
0 11
 
7.2%
9 9
 
5.9%
6 9
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
75.2%
CJK Compat 38
 
24.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 38
100.0%
ASCII
ValueCountFrequency (%)
4 16
13.9%
2 15
13.0%
3 15
13.0%
5 13
11.3%
1 11
9.6%
8 11
9.6%
0 11
9.6%
9 9
7.8%
6 9
7.8%
7 5
 
4.3%

체육장
Categorical

Distinct14
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
㎡
20 
66㎡
3 
99㎡
3 
0㎡
 
2
208㎡
 
1
Other values (9)
9 

Length

Max length4
Median length1
Mean length2.0789474
Min length1

Unique

Unique10 ?
Unique (%)26.3%

Sample

1st row208㎡
2nd row110㎡
3rd row㎡
4th row㎡
5th row㎡

Common Values

ValueCountFrequency (%)
㎡ 20
52.6%
66㎡ 3
 
7.9%
99㎡ 3
 
7.9%
0㎡ 2
 
5.3%
208㎡ 1
 
2.6%
110㎡ 1
 
2.6%
157㎡ 1
 
2.6%
88㎡ 1
 
2.6%
310㎡ 1
 
2.6%
862㎡ 1
 
2.6%
Other values (4) 4
 
10.5%

Length

2024-03-13T23:10:17.443760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㎡ 20
52.6%
66㎡ 3
 
7.9%
99㎡ 3
 
7.9%
0㎡ 2
 
5.3%
208㎡ 1
 
2.6%
110㎡ 1
 
2.6%
157㎡ 1
 
2.6%
88㎡ 1
 
2.6%
310㎡ 1
 
2.6%
862㎡ 1
 
2.6%
Other values (4) 4
 
10.5%

보건/위생공간
Text

Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T23:10:17.605170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8157895
Min length2

Characters and Unicode

Total characters107
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

Unique19 ?
Unique (%)50.0%

Sample

1st row24㎡
2nd row10㎡
3rd row42㎡
4th row0㎡
5th row25㎡
ValueCountFrequency (%)
0㎡ 9
23.7%
50㎡ 4
 
10.5%
24㎡ 2
 
5.3%
42㎡ 2
 
5.3%
10㎡ 2
 
5.3%
45㎡ 1
 
2.6%
107㎡ 1
 
2.6%
20㎡ 1
 
2.6%
49㎡ 1
 
2.6%
13㎡ 1
 
2.6%
Other values (14) 14
36.8%
2024-03-13T23:10:17.945533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 38
35.5%
0 20
18.7%
1 11
 
10.3%
5 8
 
7.5%
2 8
 
7.5%
4 7
 
6.5%
7 5
 
4.7%
9 3
 
2.8%
3 3
 
2.8%
6 2
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69
64.5%
Other Symbol 38
35.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
29.0%
1 11
15.9%
5 8
 
11.6%
2 8
 
11.6%
4 7
 
10.1%
7 5
 
7.2%
9 3
 
4.3%
3 3
 
4.3%
6 2
 
2.9%
8 2
 
2.9%
Other Symbol
ValueCountFrequency (%)
㎡ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 38
35.5%
0 20
18.7%
1 11
 
10.3%
5 8
 
7.5%
2 8
 
7.5%
4 7
 
6.5%
7 5
 
4.7%
9 3
 
2.8%
3 3
 
2.8%
6 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69
64.5%
CJK Compat 38
35.5%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 38
100.0%
ASCII
ValueCountFrequency (%)
0 20
29.0%
1 11
15.9%
5 8
 
11.6%
2 8
 
11.6%
4 7
 
10.1%
7 5
 
7.2%
9 3
 
4.3%
3 3
 
4.3%
6 2
 
2.9%
8 2
 
2.9%

조리실/급식공간
Text

Distinct30
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T23:10:18.126081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.2368421
Min length2

Characters and Unicode

Total characters123
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 (%)71.1%

Sample

1st row27㎡
2nd row10㎡
3rd row277㎡
4th row61㎡
5th row122㎡
ValueCountFrequency (%)
0㎡ 7
 
18.4%
20㎡ 2
 
5.3%
66㎡ 2
 
5.3%
16㎡ 1
 
2.6%
27㎡ 1
 
2.6%
7㎡ 1
 
2.6%
349㎡ 1
 
2.6%
156㎡ 1
 
2.6%
34㎡ 1
 
2.6%
317㎡ 1
 
2.6%
Other values (20) 20
52.6%
2024-03-13T23:10:18.407252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 38
30.9%
0 15
 
12.2%
1 14
 
11.4%
6 12
 
9.8%
2 11
 
8.9%
7 10
 
8.1%
3 9
 
7.3%
4 6
 
4.9%
8 3
 
2.4%
5 3
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85
69.1%
Other Symbol 38
30.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
17.6%
1 14
16.5%
6 12
14.1%
2 11
12.9%
7 10
11.8%
3 9
10.6%
4 6
 
7.1%
8 3
 
3.5%
5 3
 
3.5%
9 2
 
2.4%
Other Symbol
ValueCountFrequency (%)
㎡ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 123
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 38
30.9%
0 15
 
12.2%
1 14
 
11.4%
6 12
 
9.8%
2 11
 
8.9%
7 10
 
8.1%
3 9
 
7.3%
4 6
 
4.9%
8 3
 
2.4%
5 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85
69.1%
CJK Compat 38
30.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 38
100.0%
ASCII
ValueCountFrequency (%)
0 15
17.6%
1 14
16.5%
6 12
14.1%
2 11
12.9%
7 10
11.8%
3 9
10.6%
4 6
 
7.1%
8 3
 
3.5%
5 3
 
3.5%
9 2
 
2.4%

기타공간
Text

Distinct27
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T23:10:18.589313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0526316
Min length2

Characters and Unicode

Total characters116
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

Unique22 ?
Unique (%)57.9%

Sample

1st row0㎡
2nd row10㎡
3rd row18㎡
4th row27㎡
5th row12㎡
ValueCountFrequency (%)
0㎡ 6
 
15.8%
20㎡ 4
 
10.5%
15㎡ 2
 
5.3%
11㎡ 2
 
5.3%
10㎡ 2
 
5.3%
50㎡ 1
 
2.6%
248㎡ 1
 
2.6%
31㎡ 1
 
2.6%
142㎡ 1
 
2.6%
16㎡ 1
 
2.6%
Other values (17) 17
44.7%
2024-03-13T23:10:18.931330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 38
32.8%
1 21
18.1%
0 14
 
12.1%
2 13
 
11.2%
3 6
 
5.2%
5 5
 
4.3%
4 5
 
4.3%
6 4
 
3.4%
7 4
 
3.4%
8 3
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78
67.2%
Other Symbol 38
32.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 21
26.9%
0 14
17.9%
2 13
16.7%
3 6
 
7.7%
5 5
 
6.4%
4 5
 
6.4%
6 4
 
5.1%
7 4
 
5.1%
8 3
 
3.8%
9 3
 
3.8%
Other Symbol
ValueCountFrequency (%)
㎡ 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 38
32.8%
1 21
18.1%
0 14
 
12.1%
2 13
 
11.2%
3 6
 
5.2%
5 5
 
4.3%
4 5
 
4.3%
6 4
 
3.4%
7 4
 
3.4%
8 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78
67.2%
CJK Compat 38
32.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 38
100.0%
ASCII
ValueCountFrequency (%)
1 21
26.9%
0 14
17.9%
2 13
16.7%
3 6
 
7.7%
5 5
 
6.4%
4 5
 
6.4%
6 4
 
5.1%
7 4
 
5.1%
8 3
 
3.8%
9 3
 
3.8%

공시차수
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20231
30 
20181
 
2
20191
 
2
20221
 
2
20211
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20231 30
78.9%
20181 2
 
5.3%
20191 2
 
5.3%
20221 2
 
5.3%
20211 2
 
5.3%

Length

2024-03-13T23:10:19.065258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:10:19.206277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 30
78.9%
20181 2
 
5.3%
20191 2
 
5.3%
20221 2
 
5.3%
20211 2
 
5.3%

주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T23:10:19.420469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.447368
Min length16

Characters and Unicode

Total characters701
Distinct characters53
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

Unique38 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 봉우재로41길 12
2nd row서울특별시 중랑구 동일로 834
3rd row서울특별시 중랑구 신내로15길 110
4th row서울특별시 중랑구 용마산로118길 55
5th row서울특별시 중랑구 봉화산로 188
ValueCountFrequency (%)
서울특별시 38
25.0%
중랑구 38
25.0%
신내로 3
 
2.0%
동일로 3
 
2.0%
봉화산로 3
 
2.0%
110 2
 
1.3%
중랑역로 2
 
1.3%
20 2
 
1.3%
32 2
 
1.3%
55 2
 
1.3%
Other values (57) 57
37.5%
2024-03-13T23:10:19.864288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
16.3%
중 42
 
6.0%
랑 41
 
5.8%
서 38
 
5.4%
특 38
 
5.4%
별 38
 
5.4%
시 38
 
5.4%
구 38
 
5.4%
울 38
 
5.4%
로 37
 
5.3%
Other values (43) 239
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
65.5%
Decimal Number 127
 
18.1%
Space Separator 114
 
16.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 42
9.2%
랑 41
8.9%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
구 38
8.3%
울 38
8.3%
로 37
8.1%
길 20
 
4.4%
Other values (31) 91
19.8%
Decimal Number
ValueCountFrequency (%)
1 32
25.2%
5 23
18.1%
4 13
10.2%
2 12
 
9.4%
3 10
 
7.9%
0 9
 
7.1%
6 8
 
6.3%
7 8
 
6.3%
9 6
 
4.7%
8 6
 
4.7%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
65.5%
Common 242
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 42
9.2%
랑 41
8.9%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
구 38
8.3%
울 38
8.3%
로 37
8.1%
길 20
 
4.4%
Other values (31) 91
19.8%
Common
ValueCountFrequency (%)
114
47.1%
1 32
 
13.2%
5 23
 
9.5%
4 13
 
5.4%
2 12
 
5.0%
3 10
 
4.1%
0 9
 
3.7%
6 8
 
3.3%
7 8
 
3.3%
9 6
 
2.5%
Other values (2) 7
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
65.5%
ASCII 242
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
47.1%
1 32
 
13.2%
5 23
 
9.5%
4 13
 
5.4%
2 12
 
5.0%
3 10
 
4.1%
0 9
 
3.7%
6 8
 
3.3%
7 8
 
3.3%
9 6
 
2.5%
Other values (2) 7
 
2.9%
Hangul
ValueCountFrequency (%)
중 42
9.2%
랑 41
8.9%
서 38
8.3%
특 38
8.3%
별 38
8.3%
시 38
8.3%
구 38
8.3%
울 38
8.3%
로 37
8.1%
길 20
 
4.4%
Other values (31) 91
19.8%

Correlations

2024-03-13T23:10:19.967917image/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
설립유형1.0001.0001.0000.7530.9360.4790.9370.9670.9340.0001.000
교실수1.0001.0000.7531.0000.9740.4550.0000.7370.0000.0001.000
교실면적1.0001.0000.9360.9741.0001.0000.9600.9620.9391.0001.000
체육장1.0001.0000.4790.4551.0001.0000.2630.7410.0000.5791.000
보건/위생공간1.0001.0000.9370.0000.9600.2631.0000.9420.9770.0001.000
조리실/급식공간1.0001.0000.9670.7370.9620.7410.9421.0000.9440.0001.000
기타공간1.0001.0000.9340.0000.9390.0000.9770.9441.0000.0001.000
공시차수1.0001.0000.0000.0001.0000.5790.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T23:10:20.144220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형체육장교실수
공시차수1.0000.0000.2810.000
설립유형0.0001.0000.2240.506
체육장0.2810.2241.0000.153
교실수0.0000.5060.1531.000
2024-03-13T23:10:20.268090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수체육장공시차수
설립유형1.0000.5060.2240.000
교실수0.5061.0000.1530.000
체육장0.2240.1531.0000.281
공시차수0.0000.0000.2811.000

Missing values

2024-03-13T23:10:13.916909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T23:10:14.078552image/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
0서울특별시교육청동부교육지원청1ecec08c-fb77-b044-e053-0a32095ab044나래유치원사립(사인)6개490㎡208㎡24㎡27㎡0㎡20181서울특별시 중랑구 봉우재로41길 12
1서울특별시교육청동부교육지원청1ecec08d-0374-b044-e053-0a32095ab044세종유치원사립(사인)3개120㎡110㎡10㎡10㎡10㎡20181서울특별시 중랑구 동일로 834
2서울특별시교육청동부교육지원청b0005379-c35f-4cdf-8d60-e1c2bd49b158서울봉화초등학교병설유치원공립(병설)3개182㎡㎡42㎡277㎡18㎡20231서울특별시 중랑구 신내로15길 110
3서울특별시교육청동부교육지원청4ce05486-64ac-428e-84b9-69c07789c249정암유치원사립(법인)6개274㎡㎡0㎡61㎡27㎡20231서울특별시 중랑구 용마산로118길 55
4서울특별시교육청동부교육지원청0764f8c8-364c-495b-9fbc-b389148b7b4f서울신현초등학교병설유치원공립(병설)4개245㎡㎡25㎡122㎡12㎡20231서울특별시 중랑구 봉화산로 188
5서울특별시교육청동부교육지원청076db651-036b-4bee-80ba-09f0edb4a57a서울신묵초등학교병설유치원공립(병설)3개198㎡㎡118㎡132㎡785㎡20231서울특별시 중랑구 동일로149길 46
6서울특별시교육청동부교육지원청1ecec08c-ed85-b044-e053-0a32095ab044서울중곡초등학교병설유치원공립(병설)5개540㎡157㎡0㎡260㎡0㎡20231서울특별시 중랑구 면목로23길 20
7서울특별시교육청동부교육지원청1ecec08c-f053-b044-e053-0a32095ab044서울면동초등학교병설유치원공립(병설)4개225㎡㎡74㎡316㎡373㎡20231서울특별시 중랑구 면목로57길 32
8서울특별시교육청동부교육지원청1ecec08c-f1fe-b044-e053-0a32095ab044신일유치원사립(사인)3개301㎡88㎡42㎡48㎡14㎡20231서울특별시 중랑구 면목로44길 55
9서울특별시교육청동부교육지원청1ecec08c-f1ff-b044-e053-0a32095ab044아랑유치원사립(사인)3개191㎡㎡7㎡20㎡9㎡20191서울특별시 중랑구 중랑역로 47
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
28서울특별시교육청동부교육지원청1ecec08d-09aa-b044-e053-0a32095ab044은성유치원사립(사인)9개925㎡㎡10㎡473㎡11㎡20231서울특별시 중랑구 동일로 752
29서울특별시교육청동부교육지원청1ecec08d-0a6b-b044-e053-0a32095ab044서울새솔유치원공립(단설)15개1180㎡0㎡117㎡1087㎡147㎡20231서울특별시 중랑구 신내역로1길 136
30서울특별시교육청동부교육지원청1ecec08d-0c06-b044-e053-0a32095ab044새아랑유치원사립(사인)9개508㎡0㎡0㎡317㎡0㎡20231서울특별시 중랑구 신내로 151
31서울특별시교육청동부교육지원청1ecec08d-0c07-b044-e053-0a32095ab044서안유치원사립(사인)4개498㎡㎡0㎡0㎡0㎡20211서울특별시 중랑구 동일로140길 15
32서울특별시교육청동부교육지원청1ecec08d-0ca8-b044-e053-0a32095ab044미림유치원사립(사인)3개396㎡99㎡13㎡34㎡15㎡20221서울특별시 중랑구 공릉로 65
33서울특별시교육청동부교육지원청1ecec08d-0e09-b044-e053-0a32095ab044진달래유치원사립(사인)5개245㎡㎡24㎡156㎡16㎡20231서울특별시 중랑구 상봉중앙로1가길 13
34서울특별시교육청동부교육지원청274fc57a-1928-4d00-8b7d-ca05e3a5d20c서울면북초등학교병설유치원공립(병설)4개264㎡99㎡49㎡66㎡142㎡20231서울특별시 중랑구 용마공원로5길 32
35서울특별시교육청동부교육지원청b6a058d4-d077-4426-a262-864967ac2010서울중흥초등학교병설유치원공립(병설)7개366㎡㎡0㎡0㎡0㎡20231서울특별시 중랑구 봉화산로 82
36서울특별시교육청동부교육지원청c2e09cc2-cdd2-4105-ba11-7fe02b7e47f8서울양원숲초등학교병설유치원공립(병설)7개486㎡㎡20㎡349㎡31㎡20231서울특별시 중랑구 양원역로 95
37서울특별시교육청동부교육지원청cec68159-711c-4efe-97bd-5d43416a051b서울중목초등학교병설유치원공립(병설)4개430㎡㎡105㎡110㎡643㎡20231서울특별시 중랑구 동일로 665