Overview

Dataset statistics

Number of variables13
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory108.9 B

Variable types

Categorical6
Text7

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author동대문구
URLhttps://data.seoul.go.kr/dataList/OA-20634/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
설립유형 is highly overall correlated with 체육장High correlation
체육장 is highly overall correlated with 설립유형High correlation
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique
교실면적 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-13 09:24:45.850065
Analysis finished2024-03-13 09:24:46.559399
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
서울특별시교육청
34 

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 34
100.0%

Length

2024-03-13T18:24:46.617202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:24:46.719102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 34
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
동부교육지원청
34 

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 34
100.0%

Length

2024-03-13T18:24:46.845932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:24:46.976078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부교육지원청 34
100.0%

유치원코드
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T18:24:47.201244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1224
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

Unique34 ?
Unique (%)100.0%

Sample

1st row1ecec08d-0ca9-b044-e053-0a32095ab044
2nd row1ecec08c-f8dc-b044-e053-0a32095ab044
3rd row1ecec08c-ed83-b044-e053-0a32095ab044
4th row1ecec08c-efaa-b044-e053-0a32095ab044
5th row1ecec08c-f1fd-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08d-0ca9-b044-e053-0a32095ab044 1
 
2.9%
1ecec08c-f8dc-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-09ef-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-08cb-b044-e053-0a32095ab044 1
 
2.9%
1ecec08d-078e-b044-e053-0a32095ab044 1
 
2.9%
f10d3393-f828-460a-a5ed-0a134f8ddd34 1
 
2.9%
7e75b6b8-7dcb-4645-85e7-3656fce0c528 1
 
2.9%
663b5e8a-86f7-433a-bedd-f46a8bd1c7b1 1
 
2.9%
51d03296-c765-4e9c-900f-217f6a1d50f3 1
 
2.9%
1ecec08c-f895-b044-e053-0a32095ab044 1
 
2.9%
Other values (24) 24
70.6%
2024-03-13T18:24:47.596699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
17.0%
- 136
11.1%
4 131
10.7%
e 104
8.5%
c 94
7.7%
3 78
 
6.4%
5 76
 
6.2%
a 74
 
6.0%
b 71
 
5.8%
8 47
 
3.8%
Other values (7) 205
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 683
55.8%
Lowercase Letter 405
33.1%
Dash Punctuation 136
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
30.5%
4 131
19.2%
3 78
 
11.4%
5 76
 
11.1%
8 47
 
6.9%
1 43
 
6.3%
9 39
 
5.7%
2 35
 
5.1%
7 13
 
1.9%
6 13
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 104
25.7%
c 94
23.2%
a 74
18.3%
b 71
17.5%
f 32
 
7.9%
d 30
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 819
66.9%
Latin 405
33.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
25.4%
- 136
16.6%
4 131
16.0%
3 78
 
9.5%
5 76
 
9.3%
8 47
 
5.7%
1 43
 
5.3%
9 39
 
4.8%
2 35
 
4.3%
7 13
 
1.6%
Latin
ValueCountFrequency (%)
e 104
25.7%
c 94
23.2%
a 74
18.3%
b 71
17.5%
f 32
 
7.9%
d 30
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1224
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
17.0%
- 136
11.1%
4 131
10.7%
e 104
8.5%
c 94
7.7%
3 78
 
6.4%
5 76
 
6.2%
a 74
 
6.0%
b 71
 
5.8%
8 47
 
3.8%
Other values (7) 205
16.7%

유치원명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T18:24:47.849678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length5
Mean length7
Min length5

Characters and Unicode

Total characters238
Distinct characters65
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

Unique34 ?
Unique (%)100.0%

Sample

1st row빛나유치원
2nd row세하유치원
3rd row새일문유치원
4th row예일유치원
5th row자람유치원
ValueCountFrequency (%)
빛나유치원 1
 
2.9%
세하유치원 1
 
2.9%
서울홍파초등학교병설유치원 1
 
2.9%
규전유치원 1
 
2.9%
서울장평초등학교병설유치원 1
 
2.9%
라온유치원 1
 
2.9%
서울전곡초등학교병설유치원 1
 
2.9%
정원유치원 1
 
2.9%
서울이문유치원 1
 
2.9%
한양유치원 1
 
2.9%
Other values (24) 24
70.6%
2024-03-13T18:24:48.177357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
설 7
 
2.9%
교 7
 
2.9%
학 7
 
2.9%
등 7
 
2.9%
초 7
 
2.9%
Other values (55) 80
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 238
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
설 7
 
2.9%
교 7
 
2.9%
학 7
 
2.9%
등 7
 
2.9%
초 7
 
2.9%
Other values (55) 80
33.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
설 7
 
2.9%
교 7
 
2.9%
학 7
 
2.9%
등 7
 
2.9%
초 7
 
2.9%
Other values (55) 80
33.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 238
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 35
14.7%
유 34
14.3%
치 34
14.3%
서 10
 
4.2%
울 10
 
4.2%
설 7
 
2.9%
교 7
 
2.9%
학 7
 
2.9%
등 7
 
2.9%
초 7
 
2.9%
Other values (55) 80
33.6%

설립유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
사립(사인)
20 
공립(병설)
7 
사립(법인)
5 
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 20
58.8%
공립(병설) 7
 
20.6%
사립(법인) 5
 
14.7%
공립(단설) 2
 
5.9%

Length

2024-03-13T18:24:48.291545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:24:48.385110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
58.8%
공립(병설 7
 
20.6%
사립(법인 5
 
14.7%
공립(단설 2
 
5.9%

교실수
Categorical

Distinct10
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
6개
8 
3개
7 
9개
5 
5개
3 
8개
3 
Other values (5)
8 

Length

Max length3
Median length2
Mean length2.0588235
Min length2

Unique

Unique3 ?
Unique (%)8.8%

Sample

1st row3개
2nd row9개
3rd row4개
4th row6개
5th row6개

Common Values

ValueCountFrequency (%)
6개 8
23.5%
3개 7
20.6%
9개 5
14.7%
5개 3
 
8.8%
8개 3
 
8.8%
7개 3
 
8.8%
2개 2
 
5.9%
4개 1
 
2.9%
15개 1
 
2.9%
10개 1
 
2.9%

Length

2024-03-13T18:24:48.510175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:24:48.616104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6개 8
23.5%
3개 7
20.6%
9개 5
14.7%
5개 3
 
8.8%
8개 3
 
8.8%
7개 3
 
8.8%
2개 2
 
5.9%
4개 1
 
2.9%
15개 1
 
2.9%
10개 1
 
2.9%

교실면적
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T18:24:48.796540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9705882
Min length3

Characters and Unicode

Total characters135
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 (%)100.0%

Sample

1st row135㎡
2nd row537㎡
3rd row144㎡
4th row330㎡
5th row240㎡
ValueCountFrequency (%)
135㎡ 1
 
2.9%
537㎡ 1
 
2.9%
441㎡ 1
 
2.9%
122㎡ 1
 
2.9%
273㎡ 1
 
2.9%
47㎡ 1
 
2.9%
166㎡ 1
 
2.9%
288㎡ 1
 
2.9%
541㎡ 1
 
2.9%
458㎡ 1
 
2.9%
Other values (24) 24
70.6%
2024-03-13T18:24:49.134067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 34
25.2%
3 16
11.9%
4 15
11.1%
1 14
10.4%
2 12
 
8.9%
5 10
 
7.4%
6 8
 
5.9%
7 8
 
5.9%
0 7
 
5.2%
8 6
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101
74.8%
Other Symbol 34
 
25.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 16
15.8%
4 15
14.9%
1 14
13.9%
2 12
11.9%
5 10
9.9%
6 8
7.9%
7 8
7.9%
0 7
6.9%
8 6
 
5.9%
9 5
 
5.0%
Other Symbol
ValueCountFrequency (%)
㎡ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 135
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 34
25.2%
3 16
11.9%
4 15
11.1%
1 14
10.4%
2 12
 
8.9%
5 10
 
7.4%
6 8
 
5.9%
7 8
 
5.9%
0 7
 
5.2%
8 6
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 101
74.8%
CJK Compat 34
 
25.2%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 34
100.0%
ASCII
ValueCountFrequency (%)
3 16
15.8%
4 15
14.9%
1 14
13.9%
2 12
11.9%
5 10
9.9%
6 8
7.9%
7 8
7.9%
0 7
6.9%
8 6
 
5.9%
9 5
 
5.0%

체육장
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
㎡
20 
51㎡
 
1
228㎡
 
1
270㎡
 
1
174㎡
 
1
Other values (10)
10 

Length

Max length4
Median length1
Mean length2.0588235
Min length1

Unique

Unique14 ?
Unique (%)41.2%

Sample

1st row51㎡
2nd row228㎡
3rd row㎡
4th row270㎡
5th row㎡

Common Values

ValueCountFrequency (%)
㎡ 20
58.8%
51㎡ 1
 
2.9%
228㎡ 1
 
2.9%
270㎡ 1
 
2.9%
174㎡ 1
 
2.9%
105㎡ 1
 
2.9%
138㎡ 1
 
2.9%
82㎡ 1
 
2.9%
17㎡ 1
 
2.9%
135㎡ 1
 
2.9%
Other values (5) 5
 
14.7%

Length

2024-03-13T18:24:49.264911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㎡ 20
58.8%
51㎡ 1
 
2.9%
228㎡ 1
 
2.9%
270㎡ 1
 
2.9%
174㎡ 1
 
2.9%
105㎡ 1
 
2.9%
138㎡ 1
 
2.9%
82㎡ 1
 
2.9%
17㎡ 1
 
2.9%
135㎡ 1
 
2.9%
Other values (5) 5
 
14.7%

보건/위생공간
Text

Distinct23
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T18:24:49.402509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8823529
Min length2

Characters and Unicode

Total characters98
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

Unique17 ?
Unique (%)50.0%

Sample

1st row28㎡
2nd row52㎡
3rd row6㎡
4th row0㎡
5th row49㎡
ValueCountFrequency (%)
0㎡ 7
20.6%
49㎡ 2
 
5.9%
15㎡ 2
 
5.9%
30㎡ 2
 
5.9%
28㎡ 2
 
5.9%
6㎡ 2
 
5.9%
100㎡ 1
 
2.9%
68㎡ 1
 
2.9%
14㎡ 1
 
2.9%
66㎡ 1
 
2.9%
Other values (13) 13
38.2%
2024-03-13T18:24:49.666707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 34
34.7%
0 13
 
13.3%
1 12
 
12.2%
6 7
 
7.1%
4 6
 
6.1%
5 6
 
6.1%
3 6
 
6.1%
2 5
 
5.1%
8 4
 
4.1%
9 3
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 64
65.3%
Other Symbol 34
34.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
20.3%
1 12
18.8%
6 7
10.9%
4 6
9.4%
5 6
9.4%
3 6
9.4%
2 5
 
7.8%
8 4
 
6.2%
9 3
 
4.7%
7 2
 
3.1%
Other Symbol
ValueCountFrequency (%)
㎡ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 98
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 34
34.7%
0 13
 
13.3%
1 12
 
12.2%
6 7
 
7.1%
4 6
 
6.1%
5 6
 
6.1%
3 6
 
6.1%
2 5
 
5.1%
8 4
 
4.1%
9 3
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64
65.3%
CJK Compat 34
34.7%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 34
100.0%
ASCII
ValueCountFrequency (%)
0 13
20.3%
1 12
18.8%
6 7
10.9%
4 6
9.4%
5 6
9.4%
3 6
9.4%
2 5
 
7.8%
8 4
 
6.2%
9 3
 
4.7%
7 2
 
3.1%

조리실/급식공간
Text

Distinct27
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T18:24:49.816079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1176471
Min length2

Characters and Unicode

Total characters106
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 (%)73.5%

Sample

1st row5㎡
2nd row308㎡
3rd row60㎡
4th row0㎡
5th row7㎡
ValueCountFrequency (%)
0㎡ 7
20.6%
5㎡ 2
 
5.9%
73㎡ 1
 
2.9%
350㎡ 1
 
2.9%
300㎡ 1
 
2.9%
210㎡ 1
 
2.9%
372㎡ 1
 
2.9%
730㎡ 1
 
2.9%
935㎡ 1
 
2.9%
307㎡ 1
 
2.9%
Other values (17) 17
50.0%
2024-03-13T18:24:50.089631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 34
32.1%
0 19
17.9%
3 14
13.2%
2 7
 
6.6%
7 6
 
5.7%
1 6
 
5.7%
5 5
 
4.7%
8 5
 
4.7%
4 5
 
4.7%
6 3
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
67.9%
Other Symbol 34
32.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
26.4%
3 14
19.4%
2 7
 
9.7%
7 6
 
8.3%
1 6
 
8.3%
5 5
 
6.9%
8 5
 
6.9%
4 5
 
6.9%
6 3
 
4.2%
9 2
 
2.8%
Other Symbol
ValueCountFrequency (%)
㎡ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 34
32.1%
0 19
17.9%
3 14
13.2%
2 7
 
6.6%
7 6
 
5.7%
1 6
 
5.7%
5 5
 
4.7%
8 5
 
4.7%
4 5
 
4.7%
6 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
67.9%
CJK Compat 34
32.1%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 34
100.0%
ASCII
ValueCountFrequency (%)
0 19
26.4%
3 14
19.4%
2 7
 
9.7%
7 6
 
8.3%
1 6
 
8.3%
5 5
 
6.9%
8 5
 
6.9%
4 5
 
6.9%
6 3
 
4.2%
9 2
 
2.8%

기타공간
Text

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T18:24:50.267776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0294118
Min length2

Characters and Unicode

Total characters103
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 (%)67.6%

Sample

1st row0㎡
2nd row27㎡
3rd row5㎡
4th row30㎡
5th row121㎡
ValueCountFrequency (%)
0㎡ 3
 
8.8%
16㎡ 2
 
5.9%
26㎡ 2
 
5.9%
5㎡ 2
 
5.9%
15㎡ 2
 
5.9%
113㎡ 1
 
2.9%
39㎡ 1
 
2.9%
316㎡ 1
 
2.9%
59㎡ 1
 
2.9%
175㎡ 1
 
2.9%
Other values (18) 18
52.9%
2024-03-13T18:24:50.548539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 34
33.0%
1 17
16.5%
2 9
 
8.7%
3 9
 
8.7%
5 8
 
7.8%
6 6
 
5.8%
0 5
 
4.9%
7 5
 
4.9%
4 4
 
3.9%
8 3
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69
67.0%
Other Symbol 34
33.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 17
24.6%
2 9
13.0%
3 9
13.0%
5 8
11.6%
6 6
 
8.7%
0 5
 
7.2%
7 5
 
7.2%
4 4
 
5.8%
8 3
 
4.3%
9 3
 
4.3%
Other Symbol
ValueCountFrequency (%)
㎡ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 103
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 34
33.0%
1 17
16.5%
2 9
 
8.7%
3 9
 
8.7%
5 8
 
7.8%
6 6
 
5.8%
0 5
 
4.9%
7 5
 
4.9%
4 4
 
3.9%
8 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69
67.0%
CJK Compat 34
33.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 34
100.0%
ASCII
ValueCountFrequency (%)
1 17
24.6%
2 9
13.0%
3 9
13.0%
5 8
11.6%
6 6
 
8.7%
0 5
 
7.2%
7 5
 
7.2%
4 4
 
5.8%
8 3
 
4.3%
9 3
 
4.3%

공시차수
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
20231
27 
20191
4 
20201
 
2
20181
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row20181
2nd row20231
3rd row20231
4th row20231
5th row20191

Common Values

ValueCountFrequency (%)
20231 27
79.4%
20191 4
 
11.8%
20201 2
 
5.9%
20181 1
 
2.9%

Length

2024-03-13T18:24:50.665567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T18:24:50.759607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 27
79.4%
20191 4
 
11.8%
20201 2
 
5.9%
20181 1
 
2.9%

주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-13T18:24:50.956543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.441176
Min length17

Characters and Unicode

Total characters661
Distinct characters57
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

Unique34 ?
Unique (%)100.0%

Sample

1st row서울특별시 동대문구 전농로23길 47
2nd row서울특별시 동대문구 장안벚꽃로 107
3rd row서울특별시 동대문구 장한로 165
4th row서울특별시 동대문구 사가정로 190
5th row서울특별시 동대문구 고산자로 534
ValueCountFrequency (%)
서울특별시 34
25.0%
동대문구 34
25.0%
사가정로 4
 
2.9%
고산자로 2
 
1.5%
20 2
 
1.5%
21 2
 
1.5%
47 2
 
1.5%
장안벚꽃로 2
 
1.5%
518 1
 
0.7%
휘경로 1
 
0.7%
Other values (52) 52
38.2%
2024-03-13T18:24:51.330817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
15.4%
시 36
 
5.4%
대 36
 
5.4%
문 36
 
5.4%
서 35
 
5.3%
울 35
 
5.3%
특 34
 
5.1%
별 34
 
5.1%
동 34
 
5.1%
구 34
 
5.1%
Other values (47) 245
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
67.5%
Decimal Number 112
 
16.9%
Space Separator 102
 
15.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 36
 
8.1%
대 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
특 34
 
7.6%
별 34
 
7.6%
동 34
 
7.6%
구 34
 
7.6%
로 34
 
7.6%
Other values (35) 98
22.0%
Decimal Number
ValueCountFrequency (%)
1 21
18.8%
2 17
15.2%
6 15
13.4%
5 11
9.8%
4 10
8.9%
3 10
8.9%
7 8
 
7.1%
8 7
 
6.2%
0 7
 
6.2%
9 6
 
5.4%
Space Separator
ValueCountFrequency (%)
102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
67.5%
Common 215
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 36
 
8.1%
대 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
특 34
 
7.6%
별 34
 
7.6%
동 34
 
7.6%
구 34
 
7.6%
로 34
 
7.6%
Other values (35) 98
22.0%
Common
ValueCountFrequency (%)
102
47.4%
1 21
 
9.8%
2 17
 
7.9%
6 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
3 10
 
4.7%
7 8
 
3.7%
8 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
67.5%
ASCII 215
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
47.4%
1 21
 
9.8%
2 17
 
7.9%
6 15
 
7.0%
5 11
 
5.1%
4 10
 
4.7%
3 10
 
4.7%
7 8
 
3.7%
8 7
 
3.3%
0 7
 
3.3%
Other values (2) 7
 
3.3%
Hangul
ValueCountFrequency (%)
시 36
 
8.1%
대 36
 
8.1%
문 36
 
8.1%
서 35
 
7.8%
울 35
 
7.8%
특 34
 
7.6%
별 34
 
7.6%
동 34
 
7.6%
구 34
 
7.6%
로 34
 
7.6%
Other values (35) 98
22.0%

Correlations

2024-03-13T18:24:51.449269image/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
설립유형1.0001.0001.0000.5261.0000.8340.8950.6610.8740.3331.000
교실수1.0001.0000.5261.0001.0000.0000.2020.0000.0000.0001.000
교실면적1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
체육장1.0001.0000.8340.0001.0001.0000.7900.0000.9340.6271.000
보건/위생공간1.0001.0000.8950.2021.0000.7901.0000.8440.9620.0001.000
조리실/급식공간1.0001.0000.6610.0001.0000.0000.8441.0000.8430.0001.000
기타공간1.0001.0000.8740.0001.0000.9340.9620.8431.0000.0001.000
공시차수1.0001.0000.3330.0001.0000.6270.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T18:24:51.645113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형체육장교실수
공시차수1.0000.1240.3080.000
설립유형0.1241.0000.5100.293
체육장0.3080.5101.0000.000
교실수0.0000.2930.0001.000
2024-03-13T18:24:51.735176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수체육장공시차수
설립유형1.0000.2930.5100.124
교실수0.2931.0000.0000.000
체육장0.5100.0001.0000.308
공시차수0.1240.0000.3081.000

Missing values

2024-03-13T18:24:46.326178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T18:24:46.490777image/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
0서울특별시교육청동부교육지원청1ecec08d-0ca9-b044-e053-0a32095ab044빛나유치원사립(법인)3개135㎡51㎡28㎡5㎡0㎡20181서울특별시 동대문구 전농로23길 47
1서울특별시교육청동부교육지원청1ecec08c-f8dc-b044-e053-0a32095ab044세하유치원사립(사인)9개537㎡228㎡52㎡308㎡27㎡20231서울특별시 동대문구 장안벚꽃로 107
2서울특별시교육청동부교육지원청1ecec08c-ed83-b044-e053-0a32095ab044새일문유치원사립(사인)4개144㎡㎡6㎡60㎡5㎡20231서울특별시 동대문구 장한로 165
3서울특별시교육청동부교육지원청1ecec08c-efaa-b044-e053-0a32095ab044예일유치원사립(사인)6개330㎡270㎡0㎡0㎡30㎡20231서울특별시 동대문구 사가정로 190
4서울특별시교육청동부교육지원청1ecec08c-f1fd-b044-e053-0a32095ab044자람유치원사립(사인)6개240㎡㎡49㎡7㎡121㎡20191서울특별시 동대문구 고산자로 534
5서울특별시교육청동부교육지원청1ecec08c-f054-b044-e053-0a32095ab044삼성유치원사립(사인)9개448㎡㎡39㎡338㎡17㎡20231서울특별시 동대문구 사가정로 65
6서울특별시교육청동부교육지원청1ecec08c-ee33-b044-e053-0a32095ab044백주유치원사립(사인)3개163㎡㎡6㎡14㎡5㎡20201서울특별시 동대문구 서울시립대로18길 19
7서울특별시교육청동부교육지원청1ecec08c-f1fc-b044-e053-0a32095ab044서울전동초등학교병설유치원공립(병설)6개479㎡㎡105㎡0㎡18㎡20231서울특별시 동대문구 전농로16길 61
8서울특별시교육청동부교육지원청1ecec08c-f491-b044-e053-0a32095ab044서울휘경유치원공립(단설)15개561㎡174㎡124㎡820㎡43㎡20231서울특별시 동대문구 망우로6길 48
9서울특별시교육청동부교육지원청1ecec08c-f895-b044-e053-0a32095ab044한양유치원사립(사인)10개458㎡㎡0㎡0㎡0㎡20191서울특별시 동대문구 답십리로 184
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
24서울특별시교육청동부교육지원청1ecec08d-0ca7-b044-e053-0a32095ab044동안유치원사립(사인)6개361㎡㎡17㎡307㎡24㎡20231서울특별시 동대문구 회기로25길 67
25서울특별시교육청동부교육지원청1ecec08d-0d38-b044-e053-0a32095ab044경희유치원사립(법인)9개709㎡0㎡116㎡935㎡172㎡20231서울특별시 동대문구 경희대로 26
26서울특별시교육청동부교육지원청51d03296-c765-4e9c-900f-217f6a1d50f3서울이문유치원공립(단설)8개541㎡200㎡100㎡730㎡181㎡20231서울특별시 동대문구 신이문로 16
27서울특별시교육청동부교육지원청663b5e8a-86f7-433a-bedd-f46a8bd1c7b1정원유치원사립(사인)6개288㎡122㎡34㎡372㎡15㎡20231서울특별시 동대문구 사가정로 276-19
28서울특별시교육청동부교육지원청7e75b6b8-7dcb-4645-85e7-3656fce0c528서울전곡초등학교병설유치원공립(병설)3개166㎡㎡41㎡210㎡15㎡20231서울특별시 동대문구 전농로 172
29서울특별시교육청동부교육지원청f10d3393-f828-460a-a5ed-0a134f8ddd34라온유치원사립(사인)3개47㎡110㎡0㎡0㎡8㎡20231서울특별시 동대문구 답십리로48길 56
30서울특별시교육청동부교육지원청1ecec08d-078e-b044-e053-0a32095ab044서울장평초등학교병설유치원공립(병설)3개273㎡㎡66㎡0㎡175㎡20231서울특별시 동대문구 답십리로69길 27
31서울특별시교육청동부교육지원청1ecec08d-08cb-b044-e053-0a32095ab044규전유치원사립(사인)2개122㎡70㎡14㎡5㎡59㎡20191서울특별시 동대문구 휘경로 42
32서울특별시교육청동부교육지원청1ecec08d-09ef-b044-e053-0a32095ab044서울홍파초등학교병설유치원공립(병설)5개441㎡㎡60㎡300㎡316㎡20231서울특별시 동대문구 고산자로 518
33서울특별시교육청동부교육지원청1ecec08d-09f1-b044-e053-0a32095ab044서울휘봉초등학교병설유치원공립(병설)3개225㎡㎡30㎡35㎡25㎡20231서울특별시 동대문구 장안벚꽃로 309