Overview

Dataset statistics

Number of variables13
Number of observations77
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory106.7 B

Variable types

Categorical6
Text7

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-20639/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 14:51:14.365691
Analysis finished2024-03-13 14:51:15.443785
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
서울특별시교육청
77 

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 77
100.0%

Length

2024-03-13T23:51:15.499728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:51:15.593196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 77
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
북부교육지원청
77 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 77
100.0%

Length

2024-03-13T23:51:15.696617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:51:15.777952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북부교육지원청 77
100.0%

유치원코드
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:51:15.942456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters2772
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

Unique77 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f80d-b044-e053-0a32095ab044
2nd row1ecec08c-fa85-b044-e053-0a32095ab044
3rd row1ecec08c-ff21-b044-e053-0a32095ab044
4th row1ecec08d-0742-b044-e053-0a32095ab044
5th row1ecec08d-0e2f-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f80d-b044-e053-0a32095ab044 1
 
1.3%
1ecec08d-0741-b044-e053-0a32095ab044 1
 
1.3%
1ecec08c-f405-b044-e053-0a32095ab044 1
 
1.3%
1ecec08c-f34f-b044-e053-0a32095ab044 1
 
1.3%
1ecec08c-f201-b044-e053-0a32095ab044 1
 
1.3%
1ecec08c-f200-b044-e053-0a32095ab044 1
 
1.3%
1ecec08c-f12b-b044-e053-0a32095ab044 1
 
1.3%
1ecec08c-f082-b044-e053-0a32095ab044 1
 
1.3%
1ecec08c-efd7-b044-e053-0a32095ab044 1
 
1.3%
1ecec08c-efce-b044-e053-0a32095ab044 1
 
1.3%
Other values (67) 67
87.0%
2024-03-13T23:51:16.264828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 461
16.6%
4 318
11.5%
- 308
11.1%
e 246
8.9%
c 201
7.3%
3 165
 
6.0%
5 161
 
5.8%
b 160
 
5.8%
a 155
 
5.6%
1 105
 
3.8%
Other values (7) 492
17.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1560
56.3%
Lowercase Letter 904
32.6%
Dash Punctuation 308
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 461
29.6%
4 318
20.4%
3 165
 
10.6%
5 161
 
10.3%
1 105
 
6.7%
8 98
 
6.3%
2 95
 
6.1%
9 94
 
6.0%
6 36
 
2.3%
7 27
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
e 246
27.2%
c 201
22.2%
b 160
17.7%
a 155
17.1%
d 73
 
8.1%
f 69
 
7.6%
Dash Punctuation
ValueCountFrequency (%)
- 308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1868
67.4%
Latin 904
32.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 461
24.7%
4 318
17.0%
- 308
16.5%
3 165
 
8.8%
5 161
 
8.6%
1 105
 
5.6%
8 98
 
5.2%
2 95
 
5.1%
9 94
 
5.0%
6 36
 
1.9%
Latin
ValueCountFrequency (%)
e 246
27.2%
c 201
22.2%
b 160
17.7%
a 155
17.1%
d 73
 
8.1%
f 69
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2772
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 461
16.6%
4 318
11.5%
- 308
11.1%
e 246
8.9%
c 201
7.3%
3 165
 
6.0%
5 161
 
5.8%
b 160
 
5.8%
a 155
 
5.6%
1 105
 
3.8%
Other values (7) 492
17.7%

유치원명
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:51:16.486728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7.2207792
Min length5

Characters and Unicode

Total characters556
Distinct characters102
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

Unique77 ?
Unique (%)100.0%

Sample

1st row희산유치원
2nd row공능유치원
3rd row학림유치원
4th row꿈동산유치원
5th row미성유치원
ValueCountFrequency (%)
희산유치원 1
 
1.3%
육사유치원 1
 
1.3%
보배유치원 1
 
1.3%
대원유치원 1
 
1.3%
보고유치원 1
 
1.3%
효자유치원 1
 
1.3%
학여울유치원 1
 
1.3%
꽃동산유치원 1
 
1.3%
온누리유치원 1
 
1.3%
꿈모리유치원 1
 
1.3%
Other values (69) 69
87.3%
2024-03-13T23:51:16.808646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 83
14.9%
치 78
14.0%
유 77
13.8%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
병 16
 
2.9%
등 16
 
2.9%
Other values (92) 189
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 554
99.6%
Space Separator 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 83
15.0%
치 78
14.1%
유 77
13.9%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
병 16
 
2.9%
등 16
 
2.9%
Other values (91) 187
33.8%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 554
99.6%
Common 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 83
15.0%
치 78
14.1%
유 77
13.9%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
병 16
 
2.9%
등 16
 
2.9%
Other values (91) 187
33.8%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 554
99.6%
ASCII 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 83
15.0%
치 78
14.1%
유 77
13.9%
울 22
 
4.0%
서 20
 
3.6%
학 20
 
3.6%
교 18
 
3.2%
초 17
 
3.1%
병 16
 
2.9%
등 16
 
2.9%
Other values (91) 187
33.8%
ASCII
ValueCountFrequency (%)
2
100.0%

설립유형
Categorical

Distinct4
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
사립(사인)
49 
공립(병설)
16 
사립(법인)
9 
공립(단설)
 
3

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 49
63.6%
공립(병설) 16
 
20.8%
사립(법인) 9
 
11.7%
공립(단설) 3
 
3.9%

Length

2024-03-13T23:51:16.921452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:51:17.028475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 49
63.6%
공립(병설 16
 
20.8%
사립(법인 9
 
11.7%
공립(단설 3
 
3.9%

교실수
Categorical

Distinct11
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
6개
16 
5개
14 
4개
13 
7개
8 
2개
7 
Other values (6)
19 

Length

Max length3
Median length2
Mean length2.0519481
Min length2

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row3개
2nd row6개
3rd row6개
4th row10개
5th row2개

Common Values

ValueCountFrequency (%)
6개 16
20.8%
5개 14
18.2%
4개 13
16.9%
7개 8
10.4%
2개 7
9.1%
8개 6
 
7.8%
9개 5
 
6.5%
3개 4
 
5.2%
10개 2
 
2.6%
15개 1
 
1.3%

Length

2024-03-13T23:51:17.150055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
6개 16
20.8%
5개 14
18.2%
4개 13
16.9%
7개 8
10.4%
2개 7
9.1%
8개 6
 
7.8%
9개 5
 
6.5%
3개 4
 
5.2%
10개 2
 
2.6%
15개 1
 
1.3%

교실면적
Text

Distinct67
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:51:17.356800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.987013
Min length3

Characters and Unicode

Total characters307
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

Unique61 ?
Unique (%)79.2%

Sample

1st row119㎡
2nd row480㎡
3rd row396㎡
4th row730㎡
5th row148㎡
ValueCountFrequency (%)
264㎡ 5
 
6.5%
396㎡ 3
 
3.9%
455㎡ 2
 
2.6%
135㎡ 2
 
2.6%
241㎡ 2
 
2.6%
330㎡ 2
 
2.6%
119㎡ 1
 
1.3%
422㎡ 1
 
1.3%
449㎡ 1
 
1.3%
100㎡ 1
 
1.3%
Other values (57) 57
74.0%
2024-03-13T23:51:17.716129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 77
25.1%
4 38
12.4%
3 35
11.4%
2 26
 
8.5%
5 23
 
7.5%
6 22
 
7.2%
1 22
 
7.2%
0 21
 
6.8%
7 16
 
5.2%
9 15
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
74.9%
Other Symbol 77
 
25.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 38
16.5%
3 35
15.2%
2 26
11.3%
5 23
10.0%
6 22
9.6%
1 22
9.6%
0 21
9.1%
7 16
7.0%
9 15
 
6.5%
8 12
 
5.2%
Other Symbol
ValueCountFrequency (%)
㎡ 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 307
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 77
25.1%
4 38
12.4%
3 35
11.4%
2 26
 
8.5%
5 23
 
7.5%
6 22
 
7.2%
1 22
 
7.2%
0 21
 
6.8%
7 16
 
5.2%
9 15
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 230
74.9%
CJK Compat 77
 
25.1%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 77
100.0%
ASCII
ValueCountFrequency (%)
4 38
16.5%
3 35
15.2%
2 26
11.3%
5 23
10.0%
6 22
9.6%
1 22
9.6%
0 21
9.1%
7 16
7.0%
9 15
 
6.5%
8 12
 
5.2%

체육장
Categorical

Distinct23
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
㎡
45 
66㎡
 
4
68㎡
 
3
24㎡
 
2
33㎡
 
2
Other values (18)
21 

Length

Max length5
Median length1
Mean length1.974026
Min length1

Unique

Unique15 ?
Unique (%)19.5%

Sample

1st row24㎡
2nd row㎡
3rd row㎡
4th row㎡
5th row㎡

Common Values

ValueCountFrequency (%)
㎡ 45
58.4%
66㎡ 4
 
5.2%
68㎡ 3
 
3.9%
24㎡ 2
 
2.6%
33㎡ 2
 
2.6%
172㎡ 2
 
2.6%
90㎡ 2
 
2.6%
60㎡ 2
 
2.6%
50㎡ 1
 
1.3%
1287㎡ 1
 
1.3%
Other values (13) 13
 
16.9%

Length

2024-03-13T23:51:17.845417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㎡ 45
58.4%
66㎡ 4
 
5.2%
68㎡ 3
 
3.9%
24㎡ 2
 
2.6%
33㎡ 2
 
2.6%
172㎡ 2
 
2.6%
90㎡ 2
 
2.6%
60㎡ 2
 
2.6%
429㎡ 1
 
1.3%
165㎡ 1
 
1.3%
Other values (13) 13
 
16.9%

보건/위생공간
Text

Distinct43
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:51:18.020014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9220779
Min length2

Characters and Unicode

Total characters225
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 (%)35.1%

Sample

1st row15㎡
2nd row0㎡
3rd row42㎡
4th row133㎡
5th row25㎡
ValueCountFrequency (%)
0㎡ 7
 
9.1%
30㎡ 6
 
7.8%
33㎡ 5
 
6.5%
32㎡ 3
 
3.9%
45㎡ 3
 
3.9%
40㎡ 3
 
3.9%
48㎡ 3
 
3.9%
94㎡ 3
 
3.9%
17㎡ 3
 
3.9%
38㎡ 2
 
2.6%
Other values (33) 39
50.6%
2024-03-13T23:51:18.369044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 77
34.2%
3 31
13.8%
0 22
 
9.8%
4 22
 
9.8%
5 14
 
6.2%
1 14
 
6.2%
2 10
 
4.4%
8 9
 
4.0%
7 9
 
4.0%
6 9
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 148
65.8%
Other Symbol 77
34.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 31
20.9%
0 22
14.9%
4 22
14.9%
5 14
9.5%
1 14
9.5%
2 10
 
6.8%
8 9
 
6.1%
7 9
 
6.1%
6 9
 
6.1%
9 8
 
5.4%
Other Symbol
ValueCountFrequency (%)
㎡ 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 77
34.2%
3 31
13.8%
0 22
 
9.8%
4 22
 
9.8%
5 14
 
6.2%
1 14
 
6.2%
2 10
 
4.4%
8 9
 
4.0%
7 9
 
4.0%
6 9
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 148
65.8%
CJK Compat 77
34.2%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 77
100.0%
ASCII
ValueCountFrequency (%)
3 31
20.9%
0 22
14.9%
4 22
14.9%
5 14
9.5%
1 14
9.5%
2 10
 
6.8%
8 9
 
6.1%
7 9
 
6.1%
6 9
 
6.1%
9 8
 
5.4%

조리실/급식공간
Text

Distinct62
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:51:18.573325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.3116883
Min length2

Characters and Unicode

Total characters255
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

Unique55 ?
Unique (%)71.4%

Sample

1st row73㎡
2nd row50㎡
3rd row15㎡
4th row28㎡
5th row17㎡
ValueCountFrequency (%)
0㎡ 8
 
10.4%
16㎡ 3
 
3.9%
33㎡ 3
 
3.9%
13㎡ 2
 
2.6%
101㎡ 2
 
2.6%
30㎡ 2
 
2.6%
28㎡ 2
 
2.6%
367㎡ 1
 
1.3%
62㎡ 1
 
1.3%
451㎡ 1
 
1.3%
Other values (52) 52
67.5%
2024-03-13T23:51:18.897172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 77
30.2%
1 28
 
11.0%
2 26
 
10.2%
3 24
 
9.4%
0 21
 
8.2%
5 17
 
6.7%
6 16
 
6.3%
4 14
 
5.5%
7 12
 
4.7%
9 11
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 178
69.8%
Other Symbol 77
30.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 28
15.7%
2 26
14.6%
3 24
13.5%
0 21
11.8%
5 17
9.6%
6 16
9.0%
4 14
7.9%
7 12
6.7%
9 11
 
6.2%
8 9
 
5.1%
Other Symbol
ValueCountFrequency (%)
㎡ 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 255
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 77
30.2%
1 28
 
11.0%
2 26
 
10.2%
3 24
 
9.4%
0 21
 
8.2%
5 17
 
6.7%
6 16
 
6.3%
4 14
 
5.5%
7 12
 
4.7%
9 11
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
69.8%
CJK Compat 77
30.2%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 77
100.0%
ASCII
ValueCountFrequency (%)
1 28
15.7%
2 26
14.6%
3 24
13.5%
0 21
11.8%
5 17
9.6%
6 16
9.0%
4 14
7.9%
7 12
6.7%
9 11
 
6.2%
8 9
 
5.1%

기타공간
Text

Distinct48
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:51:19.090599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0519481
Min length2

Characters and Unicode

Total characters235
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

Unique34 ?
Unique (%)44.2%

Sample

1st row54㎡
2nd row85㎡
3rd row104㎡
4th row48㎡
5th row39㎡
ValueCountFrequency (%)
20㎡ 5
 
6.5%
10㎡ 5
 
6.5%
0㎡ 5
 
6.5%
22㎡ 4
 
5.2%
19㎡ 3
 
3.9%
33㎡ 3
 
3.9%
14㎡ 3
 
3.9%
15㎡ 3
 
3.9%
12㎡ 2
 
2.6%
163㎡ 2
 
2.6%
Other values (38) 42
54.5%
2024-03-13T23:51:19.434049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 77
32.8%
2 33
14.0%
1 31
13.2%
0 22
 
9.4%
3 18
 
7.7%
4 13
 
5.5%
5 11
 
4.7%
9 8
 
3.4%
7 8
 
3.4%
8 8
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 158
67.2%
Other Symbol 77
32.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 33
20.9%
1 31
19.6%
0 22
13.9%
3 18
11.4%
4 13
 
8.2%
5 11
 
7.0%
9 8
 
5.1%
7 8
 
5.1%
8 8
 
5.1%
6 6
 
3.8%
Other Symbol
ValueCountFrequency (%)
㎡ 77
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 235
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 77
32.8%
2 33
14.0%
1 31
13.2%
0 22
 
9.4%
3 18
 
7.7%
4 13
 
5.5%
5 11
 
4.7%
9 8
 
3.4%
7 8
 
3.4%
8 8
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 158
67.2%
CJK Compat 77
32.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 77
100.0%
ASCII
ValueCountFrequency (%)
2 33
20.9%
1 31
19.6%
0 22
13.9%
3 18
11.4%
4 13
 
8.2%
5 11
 
7.0%
9 8
 
5.1%
7 8
 
5.1%
8 8
 
5.1%
6 6
 
3.8%

공시차수
Categorical

Distinct5
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
20231
58 
20201
6 
20181
 
5
20191
 
5
20211
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20231 58
75.3%
20201 6
 
7.8%
20181 5
 
6.5%
20191 5
 
6.5%
20211 3
 
3.9%

Length

2024-03-13T23:51:19.554381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T23:51:19.658715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 58
75.3%
20201 6
 
7.8%
20181 5
 
6.5%
20191 5
 
6.5%
20211 3
 
3.9%

주소
Text

Distinct74
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-13T23:51:19.941638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.077922
Min length15

Characters and Unicode

Total characters1469
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

Unique71 ?
Unique (%)92.2%

Sample

1st row서울특별시 노원구 덕릉로 459-18
2nd row서울특별시 노원구 동일로186길 27
3rd row서울특별시 노원구 상계로7길 25
4th row서울특별시 노원구 동일로227길 26
5th row서울특별시 노원구 공릉로59길 28
ValueCountFrequency (%)
노원구 77
25.0%
서울특별시 76
24.7%
한글비석로 5
 
1.6%
동일로227길 3
 
1.0%
섬밭로 3
 
1.0%
26 3
 
1.0%
23 3
 
1.0%
16 3
 
1.0%
48 2
 
0.6%
36 2
 
0.6%
Other values (111) 131
42.5%
2024-03-13T23:51:20.368330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
15.7%
노 82
 
5.6%
원 82
 
5.6%
서 77
 
5.2%
구 77
 
5.2%
울 77
 
5.2%
특 76
 
5.2%
별 76
 
5.2%
시 76
 
5.2%
로 76
 
5.2%
Other values (44) 539
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 925
63.0%
Decimal Number 306
 
20.8%
Space Separator 231
 
15.7%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
노 82
8.9%
원 82
8.9%
서 77
8.3%
구 77
8.3%
울 77
8.3%
특 76
8.2%
별 76
8.2%
시 76
8.2%
로 76
8.2%
길 51
 
5.5%
Other values (32) 175
18.9%
Decimal Number
ValueCountFrequency (%)
2 61
19.9%
1 60
19.6%
3 33
10.8%
5 30
9.8%
4 29
9.5%
6 25
8.2%
8 22
 
7.2%
7 20
 
6.5%
9 17
 
5.6%
0 9
 
2.9%
Space Separator
ValueCountFrequency (%)
231
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 925
63.0%
Common 544
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
노 82
8.9%
원 82
8.9%
서 77
8.3%
구 77
8.3%
울 77
8.3%
특 76
8.2%
별 76
8.2%
시 76
8.2%
로 76
8.2%
길 51
 
5.5%
Other values (32) 175
18.9%
Common
ValueCountFrequency (%)
231
42.5%
2 61
 
11.2%
1 60
 
11.0%
3 33
 
6.1%
5 30
 
5.5%
4 29
 
5.3%
6 25
 
4.6%
8 22
 
4.0%
7 20
 
3.7%
9 17
 
3.1%
Other values (2) 16
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 925
63.0%
ASCII 544
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
42.5%
2 61
 
11.2%
1 60
 
11.0%
3 33
 
6.1%
5 30
 
5.5%
4 29
 
5.3%
6 25
 
4.6%
8 22
 
4.0%
7 20
 
3.7%
9 17
 
3.1%
Other values (2) 16
 
2.9%
Hangul
ValueCountFrequency (%)
노 82
8.9%
원 82
8.9%
서 77
8.3%
구 77
8.3%
울 77
8.3%
특 76
8.2%
별 76
8.2%
시 76
8.2%
로 76
8.2%
길 51
 
5.5%
Other values (32) 175
18.9%

Correlations

2024-03-13T23:51:20.472065image/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
설립유형1.0001.0001.0000.3980.8930.5970.4720.7570.7650.1110.000
교실수1.0001.0000.3981.0000.9420.0000.7850.9010.0000.0000.561
교실면적1.0001.0000.8930.9421.0000.8270.9470.9620.7170.5950.942
체육장1.0001.0000.5970.0000.8271.0000.5760.9010.0000.3841.000
보건/위생공간1.0001.0000.4720.7850.9470.5761.0000.9730.8970.0000.000
조리실/급식공간1.0001.0000.7570.9010.9620.9010.9731.0000.0000.6660.971
기타공간1.0001.0000.7650.0000.7170.0000.8970.0001.0000.8480.933
공시차수1.0001.0000.1110.0000.5950.3840.0000.6660.8481.0000.000
주소1.0001.0000.0000.5610.9421.0000.0000.9710.9330.0001.000
2024-03-13T23:51:20.595139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형체육장교실수
공시차수1.0000.0860.1620.000
설립유형0.0861.0000.3060.235
체육장0.1620.3061.0000.000
교실수0.0000.2350.0001.000
2024-03-13T23:51:20.690565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수체육장공시차수
설립유형1.0000.2350.3060.086
교실수0.2351.0000.0000.000
체육장0.3060.0001.0000.162
공시차수0.0860.0000.1621.000

Missing values

2024-03-13T23:51:15.230558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T23:51:15.387464image/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
0서울특별시교육청북부교육지원청1ecec08c-f80d-b044-e053-0a32095ab044희산유치원사립(사인)3개119㎡24㎡15㎡73㎡54㎡20181서울특별시 노원구 덕릉로 459-18
1서울특별시교육청북부교육지원청1ecec08c-fa85-b044-e053-0a32095ab044공능유치원사립(사인)6개480㎡㎡0㎡50㎡85㎡20181서울특별시 노원구 동일로186길 27
2서울특별시교육청북부교육지원청1ecec08c-ff21-b044-e053-0a32095ab044학림유치원사립(사인)6개396㎡㎡42㎡15㎡104㎡20181서울특별시 노원구 상계로7길 25
3서울특별시교육청북부교육지원청1ecec08d-0742-b044-e053-0a32095ab044꿈동산유치원사립(사인)10개730㎡㎡133㎡28㎡48㎡20181서울특별시 노원구 동일로227길 26
4서울특별시교육청북부교육지원청1ecec08d-0e2f-b044-e053-0a32095ab044미성유치원사립(사인)2개148㎡㎡25㎡17㎡39㎡20181서울특별시 노원구 공릉로59길 28
5서울특별시교육청북부교육지원청1ecec08c-fd16-b044-e053-0a32095ab044청암유치원사립(사인)2개131㎡㎡30㎡0㎡163㎡20201서울특별시 노원구 중계로 244
6서울특별시교육청북부교육지원청1ecec08d-006e-b044-e053-0a32095ab044양지유치원사립(사인)8개706㎡66㎡66㎡20㎡33㎡20201서울특별시 노원구 노원로30길 45
7서울특별시교육청북부교육지원청1ecec08d-014f-b044-e053-0a32095ab044동은유치원사립(사인)5개284㎡60㎡30㎡11㎡163㎡20201서울특별시 노원구 동일로207길 23
8서울특별시교육청북부교육지원청1ecec08d-04a5-b044-e053-0a32095ab044성북유치원사립(사인)5개441㎡㎡15㎡33㎡0㎡20201서울특별시 노원구 광운로17길 5-3
9서울특별시교육청북부교육지원청1ecec08d-09c4-b044-e053-0a32095ab044사랑샘유치원사립(사인)6개264㎡66㎡0㎡16㎡204㎡20201서울특별시 노원구 한글비석로 325
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
67서울특별시교육청북부교육지원청1ff76abf-a519-49f7-9c73-cdb63feb87e7서울연지유치원공립(단설)7개334㎡㎡49㎡363㎡27㎡20231서울특별시 노원구 월계로55길 16
68서울특별시교육청북부교육지원청233930d4-6ab2-4671-88de-f431e1ea4801서울수락산유치원공립(단설)7개303㎡㎡51㎡494㎡30㎡20231서울특별시 노원구 동일로245길 162
69서울특별시교육청북부교육지원청30a543a1-a1cd-4d01-b5a2-1ff881664d96서울상원초등학교병설유치원공립(병설)2개249㎡㎡37㎡169㎡120㎡20231서울특별시 노원구 한글비석로54길 119
70서울특별시교육청북부교육지원청5273f8fa-4226-465b-8a8e-83d366b4c2fe서울당현초등학교병설유치원공립(병설)3개169㎡68㎡79㎡58㎡17㎡20231서울특별시 노원구 동일로213길 52
71서울특별시교육청북부교육지원청55377202-19bf-46f9-93eb-e81f4c49ddba서울용동초등학교병설유치원공립(병설)2개135㎡68㎡45㎡218㎡0㎡20231서울특별시 노원구 한글비석로1길 81-11
72서울특별시교육청북부교육지원청7594e46b-0646-4ce2-9bce-ad3493a6b4ad꿈동산아이유치원사립(법인)9개669㎡㎡139㎡244㎡28㎡20231서울특별시 노원구 동일로227길 26
73서울특별시교육청북부교육지원청7b5c2e25-68ac-47e2-b661-53b594c85e6f서울공연초등학교병설유치원공립(병설)3개197㎡90㎡45㎡114㎡21㎡20231서울특별시 노원구 동일로192가길 16
74서울특별시교육청북부교육지원청d2ef6fed-c1e4-417d-8794-73f74106491f서울계상초등학교병설유치원공립(병설)2개135㎡68㎡43㎡152㎡43㎡20231서울특별시 노원구 한글비석로41가길 24
75서울특별시교육청북부교육지원청f989a1f7-1610-4bc9-8ead-ddb5fdfdfe1e서울태릉초등학교병설유치원공립(병설)2개67㎡90㎡0㎡16㎡4㎡20231서울특별시 노원구 노원로1길 36
76서울특별시교육청북부교육지원청1ecec08c-efcd-b044-e053-0a32095ab044공릉 사라유치원사립(사인)5개225㎡㎡30㎡36㎡47㎡20231서울특별시 노원구 동일로198가길 13