Overview

Dataset statistics

Number of variables13
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory109.1 B

Variable types

Categorical6
Text7

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-20632/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
공시차수 is highly imbalanced (63.4%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 07:31:52.177399
Analysis finished2024-03-13 07:31:52.876647
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
서울특별시교육청
32 

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 32
100.0%

Length

2024-03-13T16:31:52.927313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:31:53.004056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 32
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
성동광진교육지원청
32 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

Length

2024-03-13T16:31:53.085150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:31:53.164205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동광진교육지원청 32
100.0%

유치원코드
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T16:31:53.335398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1152
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

Unique32 ?
Unique (%)100.0%

Sample

1st row1ecec08c-ed19-b044-e053-0a32095ab044
2nd row1ecec08c-f424-b044-e053-0a32095ab044
3rd row1ecec08c-f507-b044-e053-0a32095ab044
4th row1ecec08d-04bc-b044-e053-0a32095ab044
5th row1ecec08c-f8d0-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-ed19-b044-e053-0a32095ab044 1
 
3.1%
1ecec08c-f424-b044-e053-0a32095ab044 1
 
3.1%
c86bfe33-312b-465b-ae84-67bdc4e80ab3 1
 
3.1%
907fd160-25a1-4048-8de4-27e545ebd656 1
 
3.1%
442ef88e-43d6-4048-a12d-ed742301b58a 1
 
3.1%
1ecec08d-0f50-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f39-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0f38-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e81-b044-e053-0a32095ab044 1
 
3.1%
1ecec08d-0e4c-b044-e053-0a32095ab044 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T16:31:53.640287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
57.3%
Lowercase Letter 364
31.6%
Dash Punctuation 128
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 203
30.8%
4 135
20.5%
3 71
 
10.8%
5 70
 
10.6%
8 46
 
7.0%
2 41
 
6.2%
1 40
 
6.1%
9 36
 
5.5%
6 10
 
1.5%
7 8
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 788
68.4%
Latin 364
31.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 203
25.8%
4 135
17.1%
- 128
16.2%
3 71
 
9.0%
5 70
 
8.9%
8 46
 
5.8%
2 41
 
5.2%
1 40
 
5.1%
9 36
 
4.6%
6 10
 
1.3%
Latin
ValueCountFrequency (%)
e 102
28.0%
b 70
19.2%
c 69
19.0%
a 68
18.7%
d 38
 
10.4%
f 17
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 203
17.6%
4 135
11.7%
- 128
11.1%
e 102
8.9%
3 71
 
6.2%
b 70
 
6.1%
5 70
 
6.1%
c 69
 
6.0%
a 68
 
5.9%
8 46
 
4.0%
Other values (7) 190
16.5%

유치원명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T16:31:53.838064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.71875
Min length4

Characters and Unicode

Total characters279
Distinct characters60
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

Unique32 ?
Unique (%)100.0%

Sample

1st row서울마장초등학교병설유치원
2nd row아이들세상유치원
3rd row경동유치원
4th row벧엘유치원
5th row성심유치원
ValueCountFrequency (%)
서울마장초등학교병설유치원 1
 
3.1%
아이들세상유치원 1
 
3.1%
서울경일초등학교병설유치원 1
 
3.1%
서울금호초등학교병설유치원 1
 
3.1%
서울동명초등학교병설유치원 1
 
3.1%
로사유치원 1
 
3.1%
서울옥정초등학교병설유치원 1
 
3.1%
서울사근초등학교병설유치원 1
 
3.1%
서울숭신초등학교병설유치원 1
 
3.1%
조은유치원 1
 
3.1%
Other values (22) 22
68.8%
2024-03-13T16:31:54.128451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 33
 
11.8%
유 32
 
11.5%
치 32
 
11.5%
학 16
 
5.7%
서 14
 
5.0%
울 14
 
5.0%
교 14
 
5.0%
초 13
 
4.7%
등 13
 
4.7%
병 13
 
4.7%
Other values (50) 85
30.5%

설립유형
Categorical

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
공립(병설)
13 
사립(사인)
13 
사립(법인)
5 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
공립(병설) 13
40.6%
사립(사인) 13
40.6%
사립(법인) 5
 
15.6%
공립(단설) 1
 
3.1%

Length

2024-03-13T16:31:54.236997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:31:54.340194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립(병설 13
40.6%
사립(사인 13
40.6%
사립(법인 5
 
15.6%
공립(단설 1
 
3.1%

교실수
Categorical

Distinct7
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
4개
14 
6개
5 
3개
4 
5개
3 
8개
3 
Other values (2)
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st row4개
2nd row5개
3rd row7개
4th row8개
5th row4개

Common Values

ValueCountFrequency (%)
4개 14
43.8%
6개 5
 
15.6%
3개 4
 
12.5%
5개 3
 
9.4%
8개 3
 
9.4%
7개 2
 
6.2%
2개 1
 
3.1%

Length

2024-03-13T16:31:54.441986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:31:54.532514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4개 14
43.8%
6개 5
 
15.6%
3개 4
 
12.5%
5개 3
 
9.4%
8개 3
 
9.4%
7개 2
 
6.2%
2개 1
 
3.1%

교실면적
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T16:31:54.741448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters128
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

Unique28 ?
Unique (%)87.5%

Sample

1st row392㎡
2nd row331㎡
3rd row430㎡
4th row331㎡
5th row230㎡
ValueCountFrequency (%)
198㎡ 2
 
6.2%
331㎡ 2
 
6.2%
392㎡ 1
 
3.1%
237㎡ 1
 
3.1%
270㎡ 1
 
3.1%
396㎡ 1
 
3.1%
462㎡ 1
 
3.1%
272㎡ 1
 
3.1%
297㎡ 1
 
3.1%
216㎡ 1
 
3.1%
Other values (20) 20
62.5%
2024-03-13T16:31:55.033539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 32
25.0%
2 19
14.8%
3 16
12.5%
4 13
10.2%
6 11
 
8.6%
0 10
 
7.8%
1 8
 
6.2%
9 7
 
5.5%
8 5
 
3.9%
7 5
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
75.0%
Other Symbol 32
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 19
19.8%
3 16
16.7%
4 13
13.5%
6 11
11.5%
0 10
10.4%
1 8
8.3%
9 7
 
7.3%
8 5
 
5.2%
7 5
 
5.2%
5 2
 
2.1%
Other Symbol
ValueCountFrequency (%)
㎡ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 128
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 32
25.0%
2 19
14.8%
3 16
12.5%
4 13
10.2%
6 11
 
8.6%
0 10
 
7.8%
1 8
 
6.2%
9 7
 
5.5%
8 5
 
3.9%
7 5
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 96
75.0%
CJK Compat 32
 
25.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 32
100.0%
ASCII
ValueCountFrequency (%)
2 19
19.8%
3 16
16.7%
4 13
13.5%
6 11
11.5%
0 10
10.4%
1 8
8.3%
9 7
 
7.3%
8 5
 
5.2%
7 5
 
5.2%
5 2
 
2.1%

체육장
Categorical

Distinct13
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
㎡
15 
66㎡
4 
72㎡
2 
90㎡
2 
70㎡
 
1
Other values (8)
8 

Length

Max length4
Median length3
Mean length2.1875
Min length1

Unique

Unique9 ?
Unique (%)28.1%

Sample

1st row70㎡
2nd row66㎡
3rd row㎡
4th row㎡
5th row㎡

Common Values

ValueCountFrequency (%)
㎡ 15
46.9%
66㎡ 4
 
12.5%
72㎡ 2
 
6.2%
90㎡ 2
 
6.2%
70㎡ 1
 
3.1%
65㎡ 1
 
3.1%
470㎡ 1
 
3.1%
342㎡ 1
 
3.1%
132㎡ 1
 
3.1%
210㎡ 1
 
3.1%
Other values (3) 3
 
9.4%

Length

2024-03-13T16:31:55.170858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㎡ 15
46.9%
66㎡ 4
 
12.5%
72㎡ 2
 
6.2%
90㎡ 2
 
6.2%
70㎡ 1
 
3.1%
65㎡ 1
 
3.1%
470㎡ 1
 
3.1%
342㎡ 1
 
3.1%
132㎡ 1
 
3.1%
210㎡ 1
 
3.1%
Other values (3) 3
 
9.4%

보건/위생공간
Text

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T16:31:55.324018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.96875
Min length2

Characters and Unicode

Total characters95
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

Unique23 ?
Unique (%)71.9%

Sample

1st row92㎡
2nd row43㎡
3rd row52㎡
4th row114㎡
5th row5㎡
ValueCountFrequency (%)
0㎡ 3
 
9.4%
44㎡ 2
 
6.2%
27㎡ 2
 
6.2%
33㎡ 2
 
6.2%
119㎡ 1
 
3.1%
92㎡ 1
 
3.1%
22㎡ 1
 
3.1%
20㎡ 1
 
3.1%
99㎡ 1
 
3.1%
36㎡ 1
 
3.1%
Other values (17) 17
53.1%
2024-03-13T16:31:55.586610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 32
33.7%
3 11
 
11.6%
2 11
 
11.6%
4 8
 
8.4%
1 7
 
7.4%
9 6
 
6.3%
0 5
 
5.3%
7 5
 
5.3%
6 5
 
5.3%
5 4
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
66.3%
Other Symbol 32
33.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 11
17.5%
2 11
17.5%
4 8
12.7%
1 7
11.1%
9 6
9.5%
0 5
7.9%
7 5
7.9%
6 5
7.9%
5 4
 
6.3%
8 1
 
1.6%
Other Symbol
ValueCountFrequency (%)
㎡ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 32
33.7%
3 11
 
11.6%
2 11
 
11.6%
4 8
 
8.4%
1 7
 
7.4%
9 6
 
6.3%
0 5
 
5.3%
7 5
 
5.3%
6 5
 
5.3%
5 4
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63
66.3%
CJK Compat 32
33.7%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 32
100.0%
ASCII
ValueCountFrequency (%)
3 11
17.5%
2 11
17.5%
4 8
12.7%
1 7
11.1%
9 6
9.5%
0 5
7.9%
7 5
7.9%
6 5
7.9%
5 4
 
6.3%
8 1
 
1.6%

조리실/급식공간
Text

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T16:31:55.739413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.34375
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

Unique25 ?
Unique (%)78.1%

Sample

1st row231㎡
2nd row80㎡
3rd row283㎡
4th row120㎡
5th row5㎡
ValueCountFrequency (%)
0㎡ 4
 
12.5%
132㎡ 3
 
9.4%
140㎡ 1
 
3.1%
231㎡ 1
 
3.1%
372㎡ 1
 
3.1%
104㎡ 1
 
3.1%
101㎡ 1
 
3.1%
99㎡ 1
 
3.1%
51㎡ 1
 
3.1%
322㎡ 1
 
3.1%
Other values (17) 17
53.1%
2024-03-13T16:31:56.010154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 32
29.9%
1 17
15.9%
2 13
12.1%
0 12
 
11.2%
3 12
 
11.2%
9 5
 
4.7%
5 4
 
3.7%
4 4
 
3.7%
8 3
 
2.8%
7 3
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75
70.1%
Other Symbol 32
29.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17
22.7%
2 13
17.3%
0 12
16.0%
3 12
16.0%
9 5
 
6.7%
5 4
 
5.3%
4 4
 
5.3%
8 3
 
4.0%
7 3
 
4.0%
6 2
 
2.7%
Other Symbol
ValueCountFrequency (%)
㎡ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 32
29.9%
1 17
15.9%
2 13
12.1%
0 12
 
11.2%
3 12
 
11.2%
9 5
 
4.7%
5 4
 
3.7%
4 4
 
3.7%
8 3
 
2.8%
7 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
70.1%
CJK Compat 32
29.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 32
100.0%
ASCII
ValueCountFrequency (%)
1 17
22.7%
2 13
17.3%
0 12
16.0%
3 12
16.0%
9 5
 
6.7%
5 4
 
5.3%
4 4
 
5.3%
8 3
 
4.0%
7 3
 
4.0%
6 2
 
2.7%

기타공간
Text

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T16:31:56.163374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.25
Min length2

Characters and Unicode

Total characters104
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

Unique23 ?
Unique (%)71.9%

Sample

1st row205㎡
2nd row39㎡
3rd row64㎡
4th row331㎡
5th row12㎡
ValueCountFrequency (%)
0㎡ 3
 
9.4%
33㎡ 2
 
6.2%
12㎡ 2
 
6.2%
20㎡ 2
 
6.2%
31㎡ 1
 
3.1%
205㎡ 1
 
3.1%
686㎡ 1
 
3.1%
34㎡ 1
 
3.1%
99㎡ 1
 
3.1%
11㎡ 1
 
3.1%
Other values (17) 17
53.1%
2024-03-13T16:31:56.412186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 32
30.8%
1 16
15.4%
2 13
12.5%
3 12
 
11.5%
0 10
 
9.6%
6 5
 
4.8%
8 4
 
3.8%
4 4
 
3.8%
9 3
 
2.9%
5 3
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
69.2%
Other Symbol 32
30.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
22.2%
2 13
18.1%
3 12
16.7%
0 10
13.9%
6 5
 
6.9%
8 4
 
5.6%
4 4
 
5.6%
9 3
 
4.2%
5 3
 
4.2%
7 2
 
2.8%
Other Symbol
ValueCountFrequency (%)
㎡ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 32
30.8%
1 16
15.4%
2 13
12.5%
3 12
 
11.5%
0 10
 
9.6%
6 5
 
4.8%
8 4
 
3.8%
4 4
 
3.8%
9 3
 
2.9%
5 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
69.2%
CJK Compat 32
30.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 32
100.0%
ASCII
ValueCountFrequency (%)
1 16
22.2%
2 13
18.1%
3 12
16.7%
0 10
13.9%
6 5
 
6.9%
8 4
 
5.6%
4 4
 
5.6%
9 3
 
4.2%
5 3
 
4.2%
7 2
 
2.8%

공시차수
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
20231
28 
20191
 
2
20181
 
1
20201
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)6.2%

Sample

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

Common Values

ValueCountFrequency (%)
20231 28
87.5%
20191 2
 
6.2%
20181 1
 
3.1%
20201 1
 
3.1%

Length

2024-03-13T16:31:56.522600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:31:56.609940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 28
87.5%
20191 2
 
6.2%
20181 1
 
3.1%
20201 1
 
3.1%

주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-13T16:31:56.793295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.03125
Min length16

Characters and Unicode

Total characters577
Distinct characters55
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울특별시 성동구 마장로35나길 31
2nd row서울특별시 성동구 독서당로 272
3rd row서울특별시 성동구 금호로 100
4th row서울특별시 성동구 행당로6길 97
5th row서울특별시 성동구 무학로10길 21
ValueCountFrequency (%)
서울특별시 32
25.0%
성동구 32
25.0%
21 4
 
3.1%
독서당로 4
 
3.1%
살곶이길 2
 
1.6%
35 2
 
1.6%
50 2
 
1.6%
100 1
 
0.8%
사근동11길 1
 
0.8%
26 1
 
0.8%
Other values (47) 47
36.7%
2024-03-13T16:31:57.140342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
16.6%
서 37
 
6.4%
동 34
 
5.9%
성 34
 
5.9%
구 32
 
5.5%
울 32
 
5.5%
시 32
 
5.5%
별 32
 
5.5%
특 32
 
5.5%
로 22
 
3.8%
Other values (45) 194
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
66.4%
Decimal Number 98
 
17.0%
Space Separator 96
 
16.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 37
9.7%
동 34
8.9%
성 34
8.9%
구 32
8.4%
울 32
8.4%
시 32
8.4%
별 32
8.4%
특 32
8.4%
로 22
 
5.7%
길 22
 
5.7%
Other values (34) 74
19.3%
Decimal Number
ValueCountFrequency (%)
1 22
22.4%
2 20
20.4%
3 12
12.2%
4 9
9.2%
5 9
9.2%
0 8
 
8.2%
9 7
 
7.1%
6 6
 
6.1%
7 4
 
4.1%
8 1
 
1.0%
Space Separator
ValueCountFrequency (%)
96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
66.4%
Common 194
33.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 37
9.7%
동 34
8.9%
성 34
8.9%
구 32
8.4%
울 32
8.4%
시 32
8.4%
별 32
8.4%
특 32
8.4%
로 22
 
5.7%
길 22
 
5.7%
Other values (34) 74
19.3%
Common
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
66.4%
ASCII 194
33.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
49.5%
1 22
 
11.3%
2 20
 
10.3%
3 12
 
6.2%
4 9
 
4.6%
5 9
 
4.6%
0 8
 
4.1%
9 7
 
3.6%
6 6
 
3.1%
7 4
 
2.1%
Hangul
ValueCountFrequency (%)
서 37
9.7%
동 34
8.9%
성 34
8.9%
구 32
8.4%
울 32
8.4%
시 32
8.4%
별 32
8.4%
특 32
8.4%
로 22
 
5.7%
길 22
 
5.7%
Other values (34) 74
19.3%

Correlations

2024-03-13T16:31:57.225904image/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
설립유형1.0001.0001.0000.5541.0000.7610.8710.8810.6370.2951.000
교실수1.0001.0000.5541.0000.8900.0000.9540.0000.8930.5701.000
교실면적1.0001.0001.0000.8901.0000.9560.9470.9470.9370.0001.000
체육장1.0001.0000.7610.0000.9561.0000.0000.0000.5520.0001.000
보건/위생공간1.0001.0000.8710.9540.9470.0001.0000.9570.9280.0001.000
조리실/급식공간1.0001.0000.8810.0000.9470.0000.9571.0000.9590.7781.000
기타공간1.0001.0000.6370.8930.9370.5520.9280.9591.0001.0001.000
공시차수1.0001.0000.2950.5700.0000.0000.0000.7781.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T16:31:57.333661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형체육장교실수
공시차수1.0000.1040.0000.400
설립유형0.1041.0000.4540.386
체육장0.0000.4541.0000.000
교실수0.4000.3860.0001.000
2024-03-13T16:31:57.416533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수체육장공시차수
설립유형1.0000.3860.4540.104
교실수0.3861.0000.0000.400
체육장0.4540.0001.0000.000
공시차수0.1040.4000.0001.000

Missing values

2024-03-13T16:31:52.685648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T16:31:52.824157image/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
0서울특별시교육청성동광진교육지원청1ecec08c-ed19-b044-e053-0a32095ab044서울마장초등학교병설유치원공립(병설)4개392㎡70㎡92㎡231㎡205㎡20231서울특별시 성동구 마장로35나길 31
1서울특별시교육청성동광진교육지원청1ecec08c-f424-b044-e053-0a32095ab044아이들세상유치원사립(사인)5개331㎡66㎡43㎡80㎡39㎡20231서울특별시 성동구 독서당로 272
2서울특별시교육청성동광진교육지원청1ecec08c-f507-b044-e053-0a32095ab044경동유치원사립(사인)7개430㎡㎡52㎡283㎡64㎡20231서울특별시 성동구 금호로 100
3서울특별시교육청성동광진교육지원청1ecec08d-04bc-b044-e053-0a32095ab044벧엘유치원사립(사인)8개331㎡㎡114㎡120㎡331㎡20181서울특별시 성동구 행당로6길 97
4서울특별시교육청성동광진교육지원청1ecec08c-f8d0-b044-e053-0a32095ab044성심유치원사립(법인)4개230㎡㎡5㎡5㎡12㎡20231서울특별시 성동구 무학로10길 21
5서울특별시교육청성동광진교육지원청1ecec08c-fe09-b044-e053-0a32095ab044옥수삼성유치원사립(사인)4개304㎡72㎡49㎡9㎡130㎡20231서울특별시 성동구 독서당로 218
6서울특별시교육청성동광진교육지원청1ecec08d-00be-b044-e053-0a32095ab044세성유치원사립(사인)3개145㎡65㎡0㎡0㎡0㎡20231서울특별시 성동구 독서당로 434
7서울특별시교육청성동광진교육지원청1ecec08d-01d5-b044-e053-0a32095ab044서울용답초등학교병설유치원공립(병설)4개200㎡470㎡27㎡43㎡231㎡20231서울특별시 성동구 용답25길 1
8서울특별시교육청성동광진교육지원청1ecec08d-029d-b044-e053-0a32095ab044서울송원초등학교병설유치원공립(병설)6개645㎡㎡198㎡198㎡1122㎡20231서울특별시 성동구 동일로43길 9
9서울특별시교육청성동광진교육지원청1ecec08d-02a8-b044-e053-0a32095ab044율화유치원사립(사인)5개260㎡㎡37㎡61㎡48㎡20231서울특별시 성동구 고산자로2길 35
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
22서울특별시교육청성동광진교육지원청1ecec08d-0e4b-b044-e053-0a32095ab044옥수예일유치원사립(사인)6개422㎡㎡23㎡0㎡20㎡20231서울특별시 성동구 독서당로 191
23서울특별시교육청성동광진교육지원청1ecec08d-0e4c-b044-e053-0a32095ab044조은유치원사립(사인)4개236㎡㎡3㎡230㎡27㎡20231서울특별시 성동구 살곶이길 50
24서울특별시교육청성동광진교육지원청1ecec08d-0e81-b044-e053-0a32095ab044서울숭신초등학교병설유치원공립(병설)4개216㎡60㎡27㎡53㎡12㎡20231서울특별시 성동구 마장로 161
25서울특별시교육청성동광진교육지원청1ecec08d-0f38-b044-e053-0a32095ab044서울사근초등학교병설유치원공립(병설)4개297㎡66㎡33㎡322㎡33㎡20231서울특별시 성동구 사근동11길 16
26서울특별시교육청성동광진교육지원청1ecec08d-0f39-b044-e053-0a32095ab044서울옥정초등학교병설유치원공립(병설)4개272㎡0㎡107㎡0㎡1215㎡20231서울특별시 성동구 한림말길 43
27서울특별시교육청성동광진교육지원청1ecec08d-0f50-b044-e053-0a32095ab044로사유치원사립(법인)5개462㎡㎡36㎡51㎡11㎡20231서울특별시 성동구 성덕정길 23
28서울특별시교육청성동광진교육지원청442ef88e-43d6-4048-a12d-ed742301b58a서울동명초등학교병설유치원공립(병설)4개396㎡66㎡99㎡99㎡99㎡20231서울특별시 성동구 마장로29길 29
29서울특별시교육청성동광진교육지원청907fd160-25a1-4048-8de4-27e545ebd656서울금호초등학교병설유치원공립(병설)4개270㎡90㎡33㎡101㎡34㎡20231서울특별시 성동구 무수막길 69
30서울특별시교육청성동광진교육지원청c86bfe33-312b-465b-ae84-67bdc4e80ab3서울경일초등학교병설유치원공립(병설)4개123㎡㎡20㎡104㎡17㎡20231서울특별시 성동구 뚝섬로 332
31서울특별시교육청성동광진교육지원청f9b5d3fc-3b2c-4803-b37a-481ad5a11f4b서울무학초등학교병설유치원공립(병설)3개198㎡90㎡72㎡112㎡20㎡20231서울특별시 성동구 무학봉15길 21