Overview

Dataset statistics

Number of variables13
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory110.7 B

Variable types

Categorical5
Text8

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-20641/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
공시차수 is highly imbalanced (67.6%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 11:34:21.514664
Analysis finished2024-03-13 11:34:22.367205
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
서울특별시교육청
23 

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 23
100.0%

Length

2024-03-13T20:34:22.441045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:34:22.525822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 23
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
서부교육지원청
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서부교육지원청 23
100.0%

Length

2024-03-13T20:34:22.620665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:34:23.025850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서부교육지원청 23
100.0%

유치원코드
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T20:34:23.211370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters828
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

Unique23 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f41d-b044-e053-0a32095ab044
2nd row1ecec08c-ef03-b044-e053-0a32095ab044
3rd row1ecec08c-f41c-b044-e053-0a32095ab044
4th row1ecec08c-f42e-b044-e053-0a32095ab044
5th row1ecec08c-f60d-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f41d-b044-e053-0a32095ab044 1
 
4.3%
1ecec08c-fd1f-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0bc9-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0bc7-b044-e053-0a32095ab044 1
 
4.3%
8029c453-5828-459d-86ad-38f5de7ecda7 1
 
4.3%
1ecec08d-0cb3-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0ba0-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-04ae-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-01d3-b044-e053-0a32095ab044 1
 
4.3%
1ecec08d-0071-b044-e053-0a32095ab044 1
 
4.3%
Other values (13) 13
56.5%
2024-03-13T20:34:23.566740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 146
17.6%
4 96
11.6%
- 92
11.1%
e 72
8.7%
c 66
8.0%
b 53
 
6.4%
a 52
 
6.3%
3 49
 
5.9%
5 48
 
5.8%
8 29
 
3.5%
Other values (7) 125
15.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 458
55.3%
Lowercase Letter 278
33.6%
Dash Punctuation 92
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 146
31.9%
4 96
21.0%
3 49
 
10.7%
5 48
 
10.5%
8 29
 
6.3%
1 28
 
6.1%
2 26
 
5.7%
9 26
 
5.7%
6 5
 
1.1%
7 5
 
1.1%
Lowercase Letter
ValueCountFrequency (%)
e 72
25.9%
c 66
23.7%
b 53
19.1%
a 52
18.7%
d 18
 
6.5%
f 17
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 550
66.4%
Latin 278
33.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 146
26.5%
4 96
17.5%
- 92
16.7%
3 49
 
8.9%
5 48
 
8.7%
8 29
 
5.3%
1 28
 
5.1%
2 26
 
4.7%
9 26
 
4.7%
6 5
 
0.9%
Latin
ValueCountFrequency (%)
e 72
25.9%
c 66
23.7%
b 53
19.1%
a 52
18.7%
d 18
 
6.5%
f 17
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 828
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 146
17.6%
4 96
11.6%
- 92
11.1%
e 72
8.7%
c 66
8.0%
b 53
 
6.4%
a 52
 
6.3%
3 49
 
5.9%
5 48
 
5.8%
8 29
 
3.5%
Other values (7) 125
15.1%

유치원명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T20:34:23.790383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.826087
Min length4

Characters and Unicode

Total characters180
Distinct characters58
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

Unique23 ?
Unique (%)100.0%

Sample

1st row예그린유치원
2nd row연유치원
3rd row벧엘유치원
4th row서울인왕초등학교병설유치원
5th row한양제일유치원
ValueCountFrequency (%)
예그린유치원 1
 
4.3%
새나유치원 1
 
4.3%
홍제성당유치원 1
 
4.3%
현대경복유치원 1
 
4.3%
서울가재울초등학교병설유치원 1
 
4.3%
신현유치원 1
 
4.3%
명지전문대학부속명지유치원 1
 
4.3%
서울홍제초등학교병설유치원 1
 
4.3%
해맑은유치원 1
 
4.3%
서울금화초등학교병설유치원 1
 
4.3%
Other values (13) 13
56.5%
2024-03-13T20:34:24.187650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 23
 
12.8%
치 23
 
12.8%
원 23
 
12.8%
학 7
 
3.9%
울 6
 
3.3%
교 5
 
2.8%
대 5
 
2.8%
서 5
 
2.8%
설 4
 
2.2%
병 4
 
2.2%
Other values (48) 75
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 23
 
12.8%
치 23
 
12.8%
원 23
 
12.8%
학 7
 
3.9%
울 6
 
3.3%
교 5
 
2.8%
대 5
 
2.8%
서 5
 
2.8%
설 4
 
2.2%
병 4
 
2.2%
Other values (48) 75
41.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 23
 
12.8%
치 23
 
12.8%
원 23
 
12.8%
학 7
 
3.9%
울 6
 
3.3%
교 5
 
2.8%
대 5
 
2.8%
서 5
 
2.8%
설 4
 
2.2%
병 4
 
2.2%
Other values (48) 75
41.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 23
 
12.8%
치 23
 
12.8%
원 23
 
12.8%
학 7
 
3.9%
울 6
 
3.3%
교 5
 
2.8%
대 5
 
2.8%
서 5
 
2.8%
설 4
 
2.2%
병 4
 
2.2%
Other values (48) 75
41.7%

설립유형
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
사립(사인)
14 
공립(병설)
4 
사립(법인)
4 
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 14
60.9%
공립(병설) 4
 
17.4%
사립(법인) 4
 
17.4%
공립(단설) 1
 
4.3%

Length

2024-03-13T20:34:24.318754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:34:24.449059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 14
60.9%
공립(병설 4
 
17.4%
사립(법인 4
 
17.4%
공립(단설 1
 
4.3%

교실수
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
5개
6 
8개
5 
3개
5 
6개
4 
7개
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7개
2nd row6개
3rd row8개
4th row3개
5th row3개

Common Values

ValueCountFrequency (%)
5개 6
26.1%
8개 5
21.7%
3개 5
21.7%
6개 4
17.4%
7개 3
13.0%

Length

2024-03-13T20:34:24.557947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:34:24.672956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5개 6
26.1%
8개 5
21.7%
3개 5
21.7%
6개 4
17.4%
7개 3
13.0%

교실면적
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T20:34:24.843666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters92
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

Unique21 ?
Unique (%)91.3%

Sample

1st row430㎡
2nd row312㎡
3rd row354㎡
4th row194㎡
5th row160㎡
ValueCountFrequency (%)
552㎡ 2
 
8.7%
430㎡ 1
 
4.3%
296㎡ 1
 
4.3%
211㎡ 1
 
4.3%
275㎡ 1
 
4.3%
317㎡ 1
 
4.3%
145㎡ 1
 
4.3%
540㎡ 1
 
4.3%
556㎡ 1
 
4.3%
185㎡ 1
 
4.3%
Other values (12) 12
52.2%
2024-03-13T20:34:25.120568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 23
25.0%
5 12
13.0%
2 11
12.0%
4 9
 
9.8%
1 8
 
8.7%
3 7
 
7.6%
0 5
 
5.4%
9 5
 
5.4%
6 5
 
5.4%
8 4
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69
75.0%
Other Symbol 23
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 12
17.4%
2 11
15.9%
4 9
13.0%
1 8
11.6%
3 7
10.1%
0 5
7.2%
9 5
7.2%
6 5
7.2%
8 4
 
5.8%
7 3
 
4.3%
Other Symbol
ValueCountFrequency (%)
㎡ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 23
25.0%
5 12
13.0%
2 11
12.0%
4 9
 
9.8%
1 8
 
8.7%
3 7
 
7.6%
0 5
 
5.4%
9 5
 
5.4%
6 5
 
5.4%
8 4
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69
75.0%
CJK Compat 23
 
25.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 23
100.0%
ASCII
ValueCountFrequency (%)
5 12
17.4%
2 11
15.9%
4 9
13.0%
1 8
11.6%
3 7
10.1%
0 5
7.2%
9 5
7.2%
6 5
7.2%
8 4
 
5.8%
7 3
 
4.3%

체육장
Text

Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T20:34:25.246465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length1
Mean length2.173913
Min length1

Characters and Unicode

Total characters50
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

Unique11 ?
Unique (%)47.8%

Sample

1st row㎡
2nd row38㎡
3rd row㎡
4th row66㎡
5th row46㎡
ValueCountFrequency (%)
㎡ 12
52.2%
38㎡ 1
 
4.3%
66㎡ 1
 
4.3%
46㎡ 1
 
4.3%
124㎡ 1
 
4.3%
154㎡ 1
 
4.3%
167㎡ 1
 
4.3%
430㎡ 1
 
4.3%
88㎡ 1
 
4.3%
129㎡ 1
 
4.3%
Other values (2) 2
 
8.7%
2024-03-13T20:34:25.503164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 23
46.0%
8 5
 
10.0%
6 4
 
8.0%
4 4
 
8.0%
1 4
 
8.0%
3 2
 
4.0%
2 2
 
4.0%
0 2
 
4.0%
9 2
 
4.0%
5 1
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27
54.0%
Other Symbol 23
46.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 5
18.5%
6 4
14.8%
4 4
14.8%
1 4
14.8%
3 2
 
7.4%
2 2
 
7.4%
0 2
 
7.4%
9 2
 
7.4%
5 1
 
3.7%
7 1
 
3.7%
Other Symbol
ValueCountFrequency (%)
㎡ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 23
46.0%
8 5
 
10.0%
6 4
 
8.0%
4 4
 
8.0%
1 4
 
8.0%
3 2
 
4.0%
2 2
 
4.0%
0 2
 
4.0%
9 2
 
4.0%
5 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27
54.0%
CJK Compat 23
46.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 23
100.0%
ASCII
ValueCountFrequency (%)
8 5
18.5%
6 4
14.8%
4 4
14.8%
1 4
14.8%
3 2
 
7.4%
2 2
 
7.4%
0 2
 
7.4%
9 2
 
7.4%
5 1
 
3.7%
7 1
 
3.7%

보건/위생공간
Text

Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T20:34:25.669229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8695652
Min length2

Characters and Unicode

Total characters66
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

Unique14 ?
Unique (%)60.9%

Sample

1st row60㎡
2nd row20㎡
3rd row70㎡
4th row38㎡
5th row26㎡
ValueCountFrequency (%)
0㎡ 4
17.4%
20㎡ 3
13.0%
30㎡ 2
 
8.7%
60㎡ 1
 
4.3%
37㎡ 1
 
4.3%
45㎡ 1
 
4.3%
13㎡ 1
 
4.3%
39㎡ 1
 
4.3%
32㎡ 1
 
4.3%
24㎡ 1
 
4.3%
Other values (7) 7
30.4%
2024-03-13T20:34:26.009594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 23
34.8%
0 14
21.2%
2 7
 
10.6%
3 7
 
10.6%
1 4
 
6.1%
6 3
 
4.5%
7 2
 
3.0%
4 2
 
3.0%
9 2
 
3.0%
8 1
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43
65.2%
Other Symbol 23
34.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
32.6%
2 7
16.3%
3 7
16.3%
1 4
 
9.3%
6 3
 
7.0%
7 2
 
4.7%
4 2
 
4.7%
9 2
 
4.7%
8 1
 
2.3%
5 1
 
2.3%
Other Symbol
ValueCountFrequency (%)
㎡ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 23
34.8%
0 14
21.2%
2 7
 
10.6%
3 7
 
10.6%
1 4
 
6.1%
6 3
 
4.5%
7 2
 
3.0%
4 2
 
3.0%
9 2
 
3.0%
8 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43
65.2%
CJK Compat 23
34.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 23
100.0%
ASCII
ValueCountFrequency (%)
0 14
32.6%
2 7
16.3%
3 7
16.3%
1 4
 
9.3%
6 3
 
7.0%
7 2
 
4.7%
4 2
 
4.7%
9 2
 
4.7%
8 1
 
2.3%
5 1
 
2.3%

조리실/급식공간
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T20:34:26.265516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.3478261
Min length2

Characters and Unicode

Total characters77
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

Unique18 ?
Unique (%)78.3%

Sample

1st row8㎡
2nd row29㎡
3rd row84㎡
4th row303㎡
5th row63㎡
ValueCountFrequency (%)
0㎡ 3
 
13.0%
84㎡ 2
 
8.7%
8㎡ 1
 
4.3%
403㎡ 1
 
4.3%
192㎡ 1
 
4.3%
117㎡ 1
 
4.3%
1147㎡ 1
 
4.3%
402㎡ 1
 
4.3%
102㎡ 1
 
4.3%
57㎡ 1
 
4.3%
Other values (10) 10
43.5%
2024-03-13T20:34:26.574506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 23
29.9%
0 9
 
11.7%
1 9
 
11.7%
7 7
 
9.1%
2 7
 
9.1%
4 6
 
7.8%
5 5
 
6.5%
3 4
 
5.2%
8 3
 
3.9%
6 2
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
70.1%
Other Symbol 23
29.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
16.7%
1 9
16.7%
7 7
13.0%
2 7
13.0%
4 6
11.1%
5 5
9.3%
3 4
7.4%
8 3
 
5.6%
6 2
 
3.7%
9 2
 
3.7%
Other Symbol
ValueCountFrequency (%)
㎡ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 23
29.9%
0 9
 
11.7%
1 9
 
11.7%
7 7
 
9.1%
2 7
 
9.1%
4 6
 
7.8%
5 5
 
6.5%
3 4
 
5.2%
8 3
 
3.9%
6 2
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54
70.1%
CJK Compat 23
29.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 23
100.0%
ASCII
ValueCountFrequency (%)
0 9
16.7%
1 9
16.7%
7 7
13.0%
2 7
13.0%
4 6
11.1%
5 5
9.3%
3 4
7.4%
8 3
 
5.6%
6 2
 
3.7%
9 2
 
3.7%

기타공간
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T20:34:26.761047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0869565
Min length2

Characters and Unicode

Total characters71
Distinct characters10
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

Unique17 ?
Unique (%)73.9%

Sample

1st row0㎡
2nd row26㎡
3rd row30㎡
4th row42㎡
5th row29㎡
ValueCountFrequency (%)
11㎡ 2
 
8.7%
25㎡ 2
 
8.7%
15㎡ 2
 
8.7%
21㎡ 1
 
4.3%
0㎡ 1
 
4.3%
16㎡ 1
 
4.3%
1020㎡ 1
 
4.3%
6㎡ 1
 
4.3%
64㎡ 1
 
4.3%
9㎡ 1
 
4.3%
Other values (10) 10
43.5%
2024-03-13T20:34:27.084116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 23
32.4%
1 12
16.9%
2 9
 
12.7%
5 7
 
9.9%
0 7
 
9.9%
4 5
 
7.0%
6 4
 
5.6%
9 2
 
2.8%
3 1
 
1.4%
7 1
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
67.6%
Other Symbol 23
32.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 12
25.0%
2 9
18.8%
5 7
14.6%
0 7
14.6%
4 5
10.4%
6 4
 
8.3%
9 2
 
4.2%
3 1
 
2.1%
7 1
 
2.1%
Other Symbol
ValueCountFrequency (%)
㎡ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 23
32.4%
1 12
16.9%
2 9
 
12.7%
5 7
 
9.9%
0 7
 
9.9%
4 5
 
7.0%
6 4
 
5.6%
9 2
 
2.8%
3 1
 
1.4%
7 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
67.6%
CJK Compat 23
32.4%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 23
100.0%
ASCII
ValueCountFrequency (%)
1 12
25.0%
2 9
18.8%
5 7
14.6%
0 7
14.6%
4 5
10.4%
6 4
 
8.3%
9 2
 
4.2%
3 1
 
2.1%
7 1
 
2.1%

공시차수
Categorical

IMBALANCE 

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
20231
21 
20191
 
1
20211
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
20231 21
91.3%
20191 1
 
4.3%
20211 1
 
4.3%

Length

2024-03-13T20:34:27.225424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:34:27.319405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 21
91.3%
20191 1
 
4.3%
20211 1
 
4.3%

주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-13T20:34:27.526422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.608696
Min length17

Characters and Unicode

Total characters451
Distinct characters54
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

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 서대문구 홍제내길 84
2nd row서울특별시 서대문구 명지대길 39-4
3rd row서울특별시 서대문구 연희로10길 17-6
4th row서울특별시 서대문구 세무서길 33-9
5th row서울특별시 서대문구 통일로25길 30
ValueCountFrequency (%)
서울특별시 23
25.0%
서대문구 23
25.0%
가재울로 1
 
1.1%
45 1
 
1.1%
신촌로 1
 
1.1%
43 1
 
1.1%
통일로 1
 
1.1%
165 1
 
1.1%
거북골로21길 1
 
1.1%
55 1
 
1.1%
Other values (38) 38
41.3%
2024-03-13T20:34:27.866554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
15.3%
서 47
 
10.4%
대 26
 
5.8%
울 24
 
5.3%
특 23
 
5.1%
별 23
 
5.1%
시 23
 
5.1%
문 23
 
5.1%
구 23
 
5.1%
길 17
 
3.8%
Other values (44) 153
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
67.6%
Decimal Number 74
 
16.4%
Space Separator 69
 
15.3%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 47
15.4%
대 26
8.5%
울 24
7.9%
특 23
 
7.5%
별 23
 
7.5%
시 23
 
7.5%
문 23
 
7.5%
구 23
 
7.5%
길 17
 
5.6%
로 17
 
5.6%
Other values (32) 59
19.3%
Decimal Number
ValueCountFrequency (%)
1 14
18.9%
3 13
17.6%
2 11
14.9%
5 8
10.8%
4 7
9.5%
6 7
9.5%
8 4
 
5.4%
0 4
 
5.4%
9 4
 
5.4%
7 2
 
2.7%
Space Separator
ValueCountFrequency (%)
69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
67.6%
Common 146
32.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 47
15.4%
대 26
8.5%
울 24
7.9%
특 23
 
7.5%
별 23
 
7.5%
시 23
 
7.5%
문 23
 
7.5%
구 23
 
7.5%
길 17
 
5.6%
로 17
 
5.6%
Other values (32) 59
19.3%
Common
ValueCountFrequency (%)
69
47.3%
1 14
 
9.6%
3 13
 
8.9%
2 11
 
7.5%
5 8
 
5.5%
4 7
 
4.8%
6 7
 
4.8%
8 4
 
2.7%
0 4
 
2.7%
9 4
 
2.7%
Other values (2) 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
67.6%
ASCII 146
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
47.3%
1 14
 
9.6%
3 13
 
8.9%
2 11
 
7.5%
5 8
 
5.5%
4 7
 
4.8%
6 7
 
4.8%
8 4
 
2.7%
0 4
 
2.7%
9 4
 
2.7%
Other values (2) 5
 
3.4%
Hangul
ValueCountFrequency (%)
서 47
15.4%
대 26
8.5%
울 24
7.9%
특 23
 
7.5%
별 23
 
7.5%
시 23
 
7.5%
문 23
 
7.5%
구 23
 
7.5%
길 17
 
5.6%
로 17
 
5.6%
Other values (32) 59
19.3%

Correlations

2024-03-13T20:34:27.981075image/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
설립유형1.0001.0001.0000.0000.0000.9790.8800.9610.9820.0001.000
교실수1.0001.0000.0001.0000.8280.3300.5380.7010.7390.2811.000
교실면적1.0001.0000.0000.8281.0000.0000.9640.9430.9431.0001.000
체육장1.0001.0000.9790.3300.0001.0000.0000.8680.9770.0001.000
보건/위생공간1.0001.0000.8800.5380.9640.0001.0000.9670.8860.5701.000
조리실/급식공간1.0001.0000.9610.7010.9430.8680.9671.0000.8201.0001.000
기타공간1.0001.0000.9820.7390.9430.9770.8860.8201.0000.0001.000
공시차수1.0001.0000.0000.2811.0000.0000.5701.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T20:34:28.116350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형교실수
공시차수1.0000.0000.189
설립유형0.0001.0000.000
교실수0.1890.0001.000
2024-03-13T20:34:28.220575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수공시차수
설립유형1.0000.0000.000
교실수0.0001.0000.189
공시차수0.0000.1891.000

Missing values

2024-03-13T20:34:22.102210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:34:22.297688image/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
0서울특별시교육청서부교육지원청1ecec08c-f41d-b044-e053-0a32095ab044예그린유치원사립(사인)7개430㎡㎡60㎡8㎡0㎡20191서울특별시 서대문구 홍제내길 84
1서울특별시교육청서부교육지원청1ecec08c-ef03-b044-e053-0a32095ab044연유치원사립(사인)6개312㎡38㎡20㎡29㎡26㎡20231서울특별시 서대문구 명지대길 39-4
2서울특별시교육청서부교육지원청1ecec08c-f41c-b044-e053-0a32095ab044벧엘유치원사립(사인)8개354㎡㎡70㎡84㎡30㎡20231서울특별시 서대문구 연희로10길 17-6
3서울특별시교육청서부교육지원청1ecec08c-f42e-b044-e053-0a32095ab044서울인왕초등학교병설유치원공립(병설)3개194㎡66㎡38㎡303㎡42㎡20231서울특별시 서대문구 세무서길 33-9
4서울특별시교육청서부교육지원청1ecec08c-f60d-b044-e053-0a32095ab044한양제일유치원사립(법인)3개160㎡46㎡26㎡63㎡29㎡20231서울특별시 서대문구 통일로25길 30
5서울특별시교육청서부교육지원청1ecec08c-f64b-b044-e053-0a32095ab044경복유치원사립(사인)6개329㎡㎡100㎡176㎡25㎡20231서울특별시 서대문구 세검정로1길 95
6서울특별시교육청서부교육지원청1ecec08c-faa4-b044-e053-0a32095ab044조은유치원사립(사인)5개292㎡㎡24㎡124㎡25㎡20231서울특별시 서대문구 증가로 191
7서울특별시교육청서부교육지원청1ecec08c-faa6-b044-e053-0a32095ab044현대홍익유치원사립(사인)5개280㎡㎡20㎡84㎡10㎡20231서울특별시 서대문구 모래내로 432
8서울특별시교육청서부교육지원청1ecec08c-fb86-b044-e053-0a32095ab044이화여자대학교사범대학부속이화유치원사립(법인)6개552㎡124㎡0㎡707㎡47㎡20231서울특별시 서대문구 이화여대길 52
9서울특별시교육청서부교육지원청1ecec08c-fb87-b044-e053-0a32095ab044인왕유치원사립(사인)5개238㎡㎡30㎡25㎡15㎡20211서울특별시 서대문구 통일로32길 23
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
13서울특별시교육청서부교육지원청1ecec08c-ffd9-b044-e053-0a32095ab044신촌유치원사립(사인)5개296㎡167㎡20㎡57㎡11㎡20231서울특별시 서대문구 신촌로 43
14서울특별시교육청서부교육지원청1ecec08d-0071-b044-e053-0a32095ab044서울금화초등학교병설유치원공립(병설)8개408㎡430㎡120㎡102㎡21㎡20231서울특별시 서대문구 통일로 165
15서울특별시교육청서부교육지원청1ecec08d-01d3-b044-e053-0a32095ab044해맑은유치원사립(사인)3개185㎡㎡0㎡0㎡125㎡20231서울특별시 서대문구 거북골로21길 55
16서울특별시교육청서부교육지원청1ecec08d-04ae-b044-e053-0a32095ab044서울홍제초등학교병설유치원공립(병설)7개556㎡88㎡32㎡402㎡9㎡20231서울특별시 서대문구 홍은중앙로 13
17서울특별시교육청서부교육지원청1ecec08d-0ba0-b044-e053-0a32095ab044명지전문대학부속명지유치원사립(법인)7개540㎡㎡39㎡1147㎡64㎡20231서울특별시 서대문구 명지2길 37
18서울특별시교육청서부교육지원청1ecec08d-0cb3-b044-e053-0a32095ab044신현유치원사립(사인)3개145㎡129㎡13㎡117㎡6㎡20231서울특별시 서대문구 이화여대8길 28
19서울특별시교육청서부교육지원청8029c453-5828-459d-86ad-38f5de7ecda7서울가재울초등학교병설유치원공립(병설)5개317㎡98㎡0㎡0㎡1020㎡20231서울특별시 서대문구 모래내로15길 61
20서울특별시교육청서부교육지원청1ecec08d-0bc7-b044-e053-0a32095ab044현대경복유치원사립(사인)5개275㎡㎡45㎡192㎡16㎡20231서울특별시 서대문구 통일로34길 66
21서울특별시교육청서부교육지원청1ecec08d-0bc9-b044-e053-0a32095ab044홍제성당유치원사립(법인)3개211㎡㎡19㎡7㎡11㎡20231서울특별시 서대문구 통일로40길 18
22서울특별시교육청서부교육지원청1ecec08d-0cb2-b044-e053-0a32095ab044세종유치원사립(사인)6개567㎡80㎡30㎡0㎡50㎡20231서울특별시 서대문구 거북골로16길 36