Overview

Dataset statistics

Number of variables13
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory110.5 B

Variable types

Categorical5
Text8

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-20637/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-03-13 07:34:35.412769
Analysis finished2024-03-13 07:34:35.961759
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
서울특별시교육청
24 

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 24
100.0%

Length

2024-03-13T16:34:36.016598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:34:36.095443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 24
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
성북강북교육지원청
24 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성북강북교육지원청 24
100.0%

Length

2024-03-13T16:34:36.172086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:34:36.251575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 24
100.0%

유치원코드
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T16:34:36.422530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters864
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

Unique24 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f9b8-b044-e053-0a32095ab044
2nd row1ecec08d-0250-b044-e053-0a32095ab044
3rd row1ecec08c-f0f4-b044-e053-0a32095ab044
4th row1ecec08c-f0f5-b044-e053-0a32095ab044
5th row1ecec08c-f0f6-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f9b8-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-0250-b044-e053-0a32095ab044 1
 
4.2%
d6df2050-e2a0-4e60-bffa-db3ae9220338 1
 
4.2%
7e0ce4f2-8d6e-4568-9e83-17a353fee72b 1
 
4.2%
64af8988-de1b-45a7-81be-11e10d4fa5ef 1
 
4.2%
359faa6f-7b25-4e25-b738-71737821c61c 1
 
4.2%
1ecec08d-0cbe-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-0ae5-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-084e-b044-e053-0a32095ab044 1
 
4.2%
1ecec08d-02ae-b044-e053-0a32095ab044 1
 
4.2%
Other values (14) 14
58.3%
2024-03-13T16:34:36.778941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 143
16.6%
- 96
11.1%
4 92
10.6%
e 81
9.4%
c 58
 
6.7%
a 53
 
6.1%
5 53
 
6.1%
3 50
 
5.8%
b 49
 
5.7%
8 35
 
4.1%
Other values (7) 154
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 484
56.0%
Lowercase Letter 284
32.9%
Dash Punctuation 96
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 143
29.5%
4 92
19.0%
5 53
 
11.0%
3 50
 
10.3%
8 35
 
7.2%
2 35
 
7.2%
1 30
 
6.2%
9 26
 
5.4%
7 11
 
2.3%
6 9
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 81
28.5%
c 58
20.4%
a 53
18.7%
b 49
17.3%
f 27
 
9.5%
d 16
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 580
67.1%
Latin 284
32.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 143
24.7%
- 96
16.6%
4 92
15.9%
5 53
 
9.1%
3 50
 
8.6%
8 35
 
6.0%
2 35
 
6.0%
1 30
 
5.2%
9 26
 
4.5%
7 11
 
1.9%
Latin
ValueCountFrequency (%)
e 81
28.5%
c 58
20.4%
a 53
18.7%
b 49
17.3%
f 27
 
9.5%
d 16
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 143
16.6%
- 96
11.1%
4 92
10.6%
e 81
9.4%
c 58
 
6.7%
a 53
 
6.1%
5 53
 
6.1%
3 50
 
5.8%
b 49
 
5.7%
8 35
 
4.1%
Other values (7) 154
17.8%

유치원명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T16:34:36.965055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length7.2083333
Min length5

Characters and Unicode

Total characters173
Distinct characters49
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

Unique24 ?
Unique (%)100.0%

Sample

1st row아름유치원
2nd row경은유치원
3rd row금성유치원
4th row동명유치원
5th row길물빛유치원
ValueCountFrequency (%)
아름유치원 1
 
4.2%
경은유치원 1
 
4.2%
서울우이유치원 1
 
4.2%
서울송천초등학교병설유치원 1
 
4.2%
서울수송초등학교병설유치원 1
 
4.2%
서울번동초등학교병설유치원 1
 
4.2%
서울미양초등학교병설유치원 1
 
4.2%
인수유치원 1
 
4.2%
꿈동산유치원 1
 
4.2%
서울화계초등학교병설유치원 1
 
4.2%
Other values (14) 14
58.3%
2024-03-13T16:34:37.247422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
15.0%
25
14.5%
24
13.9%
7
 
4.0%
7
 
4.0%
6
 
3.5%
6
 
3.5%
6
 
3.5%
6
 
3.5%
6
 
3.5%
Other values (39) 54
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
15.0%
25
14.5%
24
13.9%
7
 
4.0%
7
 
4.0%
6
 
3.5%
6
 
3.5%
6
 
3.5%
6
 
3.5%
6
 
3.5%
Other values (39) 54
31.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
15.0%
25
14.5%
24
13.9%
7
 
4.0%
7
 
4.0%
6
 
3.5%
6
 
3.5%
6
 
3.5%
6
 
3.5%
6
 
3.5%
Other values (39) 54
31.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
15.0%
25
14.5%
24
13.9%
7
 
4.0%
7
 
4.0%
6
 
3.5%
6
 
3.5%
6
 
3.5%
6
 
3.5%
6
 
3.5%
Other values (39) 54
31.2%

설립유형
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
사립(사인)
15 
공립(병설)
사립(법인)
공립(단설)
 
1

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 15
62.5%
공립(병설) 6
 
25.0%
사립(법인) 2
 
8.3%
공립(단설) 1
 
4.2%

Length

2024-03-13T16:34:37.353869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:34:37.438167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 15
62.5%
공립(병설 6
 
25.0%
사립(법인 2
 
8.3%
공립(단설 1
 
4.2%

교실수
Categorical

Distinct8
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
3개
4개
5개
11개
2개
Other values (3)

Length

Max length3
Median length2
Mean length2.1666667
Min length2

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row2개
2nd row5개
3rd row3개
4th row4개
5th row5개

Common Values

ValueCountFrequency (%)
3개 6
25.0%
4개 5
20.8%
5개 4
16.7%
11개 3
12.5%
2개 2
 
8.3%
6개 2
 
8.3%
13개 1
 
4.2%
7개 1
 
4.2%

Length

2024-03-13T16:34:37.538964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:34:37.634025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3개 6
25.0%
4개 5
20.8%
5개 4
16.7%
11개 3
12.5%
2개 2
 
8.3%
6개 2
 
8.3%
13개 1
 
4.2%
7개 1
 
4.2%

교실면적
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T16:34:37.786657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4
Min length3

Characters and Unicode

Total characters96
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

Unique24 ?
Unique (%)100.0%

Sample

1st row132㎡
2nd row275㎡
3rd row155㎡
4th row257㎡
5th row347㎡
ValueCountFrequency (%)
132㎡ 1
 
4.2%
275㎡ 1
 
4.2%
691㎡ 1
 
4.2%
248㎡ 1
 
4.2%
235㎡ 1
 
4.2%
236㎡ 1
 
4.2%
396㎡ 1
 
4.2%
84㎡ 1
 
4.2%
142㎡ 1
 
4.2%
200㎡ 1
 
4.2%
Other values (14) 14
58.3%
2024-03-13T16:34:38.064449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
25.0%
2 14
14.6%
5 11
11.5%
1 9
 
9.4%
3 8
 
8.3%
8 7
 
7.3%
6 7
 
7.3%
4 6
 
6.2%
7 4
 
4.2%
9 4
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 72
75.0%
Other Symbol 24
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 14
19.4%
5 11
15.3%
1 9
12.5%
3 8
11.1%
8 7
9.7%
6 7
9.7%
4 6
8.3%
7 4
 
5.6%
9 4
 
5.6%
0 2
 
2.8%
Other Symbol
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 96
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
24
25.0%
2 14
14.6%
5 11
11.5%
1 9
 
9.4%
3 8
 
8.3%
8 7
 
7.3%
6 7
 
7.3%
4 6
 
6.2%
7 4
 
4.2%
9 4
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 72
75.0%
CJK Compat 24
 
25.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
24
100.0%
ASCII
ValueCountFrequency (%)
2 14
19.4%
5 11
15.3%
1 9
12.5%
3 8
11.1%
8 7
9.7%
6 7
9.7%
4 6
8.3%
7 4
 
5.6%
9 4
 
5.6%
0 2
 
2.8%
Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T16:34:38.185650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.5
Min length1

Characters and Unicode

Total characters60
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

Unique14 ?
Unique (%)58.3%

Sample

1st row132㎡
2nd row146㎡
3rd row
4th row64㎡
5th row
ValueCountFrequency (%)
8
33.3%
0㎡ 2
 
8.3%
132㎡ 1
 
4.2%
146㎡ 1
 
4.2%
64㎡ 1
 
4.2%
99㎡ 1
 
4.2%
82㎡ 1
 
4.2%
18㎡ 1
 
4.2%
137㎡ 1
 
4.2%
868㎡ 1
 
4.2%
Other values (6) 6
25.0%
2024-03-13T16:34:38.430624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
40.0%
8 8
 
13.3%
1 7
 
11.7%
6 6
 
10.0%
0 3
 
5.0%
3 3
 
5.0%
4 3
 
5.0%
9 3
 
5.0%
2 2
 
3.3%
7 1
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36
60.0%
Other Symbol 24
40.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 8
22.2%
1 7
19.4%
6 6
16.7%
0 3
 
8.3%
3 3
 
8.3%
4 3
 
8.3%
9 3
 
8.3%
2 2
 
5.6%
7 1
 
2.8%
Other Symbol
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
24
40.0%
8 8
 
13.3%
1 7
 
11.7%
6 6
 
10.0%
0 3
 
5.0%
3 3
 
5.0%
4 3
 
5.0%
9 3
 
5.0%
2 2
 
3.3%
7 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
60.0%
CJK Compat 24
40.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
24
100.0%
ASCII
ValueCountFrequency (%)
8 8
22.2%
1 7
19.4%
6 6
16.7%
0 3
 
8.3%
3 3
 
8.3%
4 3
 
8.3%
9 3
 
8.3%
2 2
 
5.6%
7 1
 
2.8%
Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T16:34:38.564811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.8333333
Min length2

Characters and Unicode

Total characters68
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

Unique14 ?
Unique (%)58.3%

Sample

1st row33㎡
2nd row56㎡
3rd row0㎡
4th row20㎡
5th row0㎡
ValueCountFrequency (%)
0㎡ 5
20.8%
15㎡ 3
12.5%
20㎡ 2
 
8.3%
60㎡ 1
 
4.2%
33㎡ 1
 
4.2%
40㎡ 1
 
4.2%
34㎡ 1
 
4.2%
32㎡ 1
 
4.2%
16㎡ 1
 
4.2%
46㎡ 1
 
4.2%
Other values (7) 7
29.2%
2024-03-13T16:34:38.897890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
35.3%
0 10
14.7%
1 8
 
11.8%
5 5
 
7.4%
2 5
 
7.4%
3 5
 
7.4%
6 4
 
5.9%
4 3
 
4.4%
7 2
 
2.9%
9 2
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44
64.7%
Other Symbol 24
35.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
22.7%
1 8
18.2%
5 5
11.4%
2 5
11.4%
3 5
11.4%
6 4
 
9.1%
4 3
 
6.8%
7 2
 
4.5%
9 2
 
4.5%
Other Symbol
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
24
35.3%
0 10
14.7%
1 8
 
11.8%
5 5
 
7.4%
2 5
 
7.4%
3 5
 
7.4%
6 4
 
5.9%
4 3
 
4.4%
7 2
 
2.9%
9 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
64.7%
CJK Compat 24
35.3%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
24
100.0%
ASCII
ValueCountFrequency (%)
0 10
22.7%
1 8
18.2%
5 5
11.4%
2 5
11.4%
3 5
11.4%
6 4
 
9.1%
4 3
 
6.8%
7 2
 
4.5%
9 2
 
4.5%
Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T16:34:39.038564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.25
Min length2

Characters and Unicode

Total characters78
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)79.2%

Sample

1st row33㎡
2nd row12㎡
3rd row0㎡
4th row12㎡
5th row100㎡
ValueCountFrequency (%)
0㎡ 3
 
12.5%
12㎡ 2
 
8.3%
298㎡ 1
 
4.2%
33㎡ 1
 
4.2%
70㎡ 1
 
4.2%
997㎡ 1
 
4.2%
66㎡ 1
 
4.2%
68㎡ 1
 
4.2%
34㎡ 1
 
4.2%
264㎡ 1
 
4.2%
Other values (11) 11
45.8%
2024-03-13T16:34:39.301736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
30.8%
0 9
 
11.5%
8 8
 
10.3%
1 7
 
9.0%
3 7
 
9.0%
6 6
 
7.7%
2 5
 
6.4%
4 5
 
6.4%
9 4
 
5.1%
7 2
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
69.2%
Other Symbol 24
30.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
16.7%
8 8
14.8%
1 7
13.0%
3 7
13.0%
6 6
11.1%
2 5
9.3%
4 5
9.3%
9 4
7.4%
7 2
 
3.7%
5 1
 
1.9%
Other Symbol
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
24
30.8%
0 9
 
11.5%
8 8
 
10.3%
1 7
 
9.0%
3 7
 
9.0%
6 6
 
7.7%
2 5
 
6.4%
4 5
 
6.4%
9 4
 
5.1%
7 2
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54
69.2%
CJK Compat 24
30.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
24
100.0%
ASCII
ValueCountFrequency (%)
0 9
16.7%
8 8
14.8%
1 7
13.0%
3 7
13.0%
6 6
11.1%
2 5
9.3%
4 5
9.3%
9 4
7.4%
7 2
 
3.7%
5 1
 
1.9%
Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T16:34:39.439533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters72
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

Unique13 ?
Unique (%)54.2%

Sample

1st row0㎡
2nd row111㎡
3rd row0㎡
4th row84㎡
5th row15㎡
ValueCountFrequency (%)
15㎡ 4
16.7%
10㎡ 3
12.5%
20㎡ 2
 
8.3%
0㎡ 2
 
8.3%
111㎡ 1
 
4.2%
22㎡ 1
 
4.2%
885㎡ 1
 
4.2%
84㎡ 1
 
4.2%
35㎡ 1
 
4.2%
17㎡ 1
 
4.2%
Other values (7) 7
29.2%
2024-03-13T16:34:39.687048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
33.3%
1 15
20.8%
5 8
 
11.1%
0 7
 
9.7%
2 5
 
6.9%
3 5
 
6.9%
8 3
 
4.2%
6 2
 
2.8%
4 2
 
2.8%
7 1
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
66.7%
Other Symbol 24
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 15
31.2%
5 8
16.7%
0 7
14.6%
2 5
 
10.4%
3 5
 
10.4%
8 3
 
6.2%
6 2
 
4.2%
4 2
 
4.2%
7 1
 
2.1%
Other Symbol
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 72
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
24
33.3%
1 15
20.8%
5 8
 
11.1%
0 7
 
9.7%
2 5
 
6.9%
3 5
 
6.9%
8 3
 
4.2%
6 2
 
2.8%
4 2
 
2.8%
7 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48
66.7%
CJK Compat 24
33.3%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
24
100.0%
ASCII
ValueCountFrequency (%)
1 15
31.2%
5 8
16.7%
0 7
14.6%
2 5
 
10.4%
3 5
 
10.4%
8 3
 
6.2%
6 2
 
4.2%
4 2
 
4.2%
7 1
 
2.1%

공시차수
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
20231
17 
20181
20191
20211
20201
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
20231 17
70.8%
20181 2
 
8.3%
20191 2
 
8.3%
20211 2
 
8.3%
20201 1
 
4.2%

Length

2024-03-13T16:34:39.796275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T16:34:39.879920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 17
70.8%
20181 2
 
8.3%
20191 2
 
8.3%
20211 2
 
8.3%
20201 1
 
4.2%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-13T16:34:40.046046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.208333
Min length16

Characters and Unicode

Total characters437
Distinct characters46
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

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 도봉로 88
2nd row서울특별시 강북구 노해로21길 12
3rd row서울특별시 강북구 한천로123길 9
4th row서울특별시 강북구 오패산로 130
5th row서울특별시 강북구 인수봉로 260
ValueCountFrequency (%)
서울특별시 24
25.0%
강북구 24
25.0%
인수봉로 3
 
3.1%
솔샘로 3
 
3.1%
45 2
 
2.1%
삼각산로 2
 
2.1%
14 1
 
1.0%
한천로124길 1
 
1.0%
36 1
 
1.0%
174 1
 
1.0%
Other values (34) 34
35.4%
2024-03-13T16:34:40.346184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
16.5%
24
 
5.5%
24
 
5.5%
24
 
5.5%
24
 
5.5%
24
 
5.5%
24
 
5.5%
24
 
5.5%
24
 
5.5%
24
 
5.5%
Other values (36) 149
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
64.5%
Decimal Number 82
 
18.8%
Space Separator 72
 
16.5%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
11
 
3.9%
Other values (24) 55
19.5%
Decimal Number
ValueCountFrequency (%)
1 18
22.0%
9 11
13.4%
2 11
13.4%
4 10
12.2%
5 9
11.0%
0 5
 
6.1%
8 5
 
6.1%
3 5
 
6.1%
6 4
 
4.9%
7 4
 
4.9%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
64.5%
Common 155
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
11
 
3.9%
Other values (24) 55
19.5%
Common
ValueCountFrequency (%)
72
46.5%
1 18
 
11.6%
9 11
 
7.1%
2 11
 
7.1%
4 10
 
6.5%
5 9
 
5.8%
0 5
 
3.2%
8 5
 
3.2%
3 5
 
3.2%
6 4
 
2.6%
Other values (2) 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
64.5%
ASCII 155
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
72
46.5%
1 18
 
11.6%
9 11
 
7.1%
2 11
 
7.1%
4 10
 
6.5%
5 9
 
5.8%
0 5
 
3.2%
8 5
 
3.2%
3 5
 
3.2%
6 4
 
2.6%
Other values (2) 5
 
3.2%
Hangul
ValueCountFrequency (%)
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
24
8.5%
11
 
3.9%
Other values (24) 55
19.5%

Correlations

2024-03-13T16:34:40.437964image/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
설립유형1.0001.0001.0000.8561.0000.9840.7811.0000.9460.0001.000
교실수1.0001.0000.8561.0001.0000.0000.9330.9240.7270.0001.000
교실면적1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
체육장1.0001.0000.9840.0001.0001.0000.8120.9000.9020.0001.000
보건/위생공간1.0001.0000.7810.9331.0000.8121.0000.9010.8340.0001.000
조리실/급식공간1.0001.0001.0000.9241.0000.9000.9011.0000.8220.0001.000
기타공간1.0001.0000.9460.7271.0000.9020.8340.8221.0000.0001.000
공시차수1.0001.0000.0000.0001.0000.0000.0000.0000.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T16:34:40.553257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형교실수
공시차수1.0000.0000.000
설립유형0.0001.0000.465
교실수0.0000.4651.000
2024-03-13T16:34:40.624039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수공시차수
설립유형1.0000.4650.000
교실수0.4651.0000.000
공시차수0.0000.0001.000

Missing values

2024-03-13T16:34:35.773288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T16:34:35.906179image/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
0서울특별시교육청성북강북교육지원청1ecec08c-f9b8-b044-e053-0a32095ab044아름유치원사립(사인)2개132㎡132㎡33㎡33㎡0㎡20181서울특별시 강북구 도봉로 88
1서울특별시교육청성북강북교육지원청1ecec08d-0250-b044-e053-0a32095ab044경은유치원사립(사인)5개275㎡146㎡56㎡12㎡111㎡20181서울특별시 강북구 노해로21길 12
2서울특별시교육청성북강북교육지원청1ecec08c-f0f4-b044-e053-0a32095ab044금성유치원사립(사인)3개155㎡0㎡0㎡0㎡20191서울특별시 강북구 한천로123길 9
3서울특별시교육청성북강북교육지원청1ecec08c-f0f5-b044-e053-0a32095ab044동명유치원사립(사인)4개257㎡64㎡20㎡12㎡84㎡20191서울특별시 강북구 오패산로 130
4서울특별시교육청성북강북교육지원청1ecec08c-f0f6-b044-e053-0a32095ab044길물빛유치원사립(사인)5개347㎡0㎡100㎡15㎡20231서울특별시 강북구 인수봉로 260
5서울특별시교육청성북강북교육지원청1ecec08c-f740-b044-e053-0a32095ab044성실유치원사립(사인)5개286㎡11㎡138㎡22㎡20231서울특별시 강북구 삼각산로 143-1
6서울특별시교육청성북강북교육지원청1ecec08c-f8de-b044-e053-0a32095ab044서울수유초등학교병설유치원공립(병설)4개272㎡99㎡23㎡488㎡885㎡20231서울특별시 강북구 삼양로74길 39
7서울특별시교육청성북강북교육지원청1ecec08c-fa08-b044-e053-0a32095ab044솔샘유치원사립(사인)13개1165㎡17㎡1383㎡20㎡20231서울특별시 강북구 솔샘로 159
8서울특별시교육청성북강북교육지원청1ecec08c-fa73-b044-e053-0a32095ab044창문유치원사립(법인)11개659㎡0㎡0㎡30㎡35㎡20231서울특별시 강북구 월계로 61
9서울특별시교육청성북강북교육지원청1ecec08c-fc25-b044-e053-0a32095ab044운산유치원사립(사인)3개123㎡20㎡0㎡10㎡20211서울특별시 강북구 수유로4길 58
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
14서울특별시교육청성북강북교육지원청1ecec08d-024f-b044-e053-0a32095ab044화계유치원사립(사인)6개455㎡40㎡46㎡15㎡20231서울특별시 강북구 덕릉로 45
15서울특별시교육청성북강북교육지원청1ecec08d-02ae-b044-e053-0a32095ab044서울화계초등학교병설유치원공립(병설)5개200㎡40㎡60㎡70㎡10㎡20231서울특별시 강북구 솔매로50가길 25
16서울특별시교육청성북강북교육지원청1ecec08d-084e-b044-e053-0a32095ab044꿈동산유치원사립(사인)3개142㎡181㎡90㎡298㎡15㎡20231서울특별시 강북구 한천로115길 15
17서울특별시교육청성북강북교육지원청1ecec08d-0ae5-b044-e053-0a32095ab044인수유치원사립(사인)2개84㎡16㎡18㎡6㎡20211서울특별시 강북구 인수봉로 298
18서울특별시교육청성북강북교육지원청1ecec08d-0cbe-b044-e053-0a32095ab044서울미양초등학교병설유치원공립(병설)6개396㎡0㎡32㎡264㎡13㎡20231서울특별시 강북구 솔샘로 195
19서울특별시교육청성북강북교육지원청359faa6f-7b25-4e25-b738-71737821c61c서울번동초등학교병설유치원공립(병설)4개236㎡68㎡34㎡34㎡20㎡20231서울특별시 강북구 오현로 204
20서울특별시교육청성북강북교육지원청64af8988-de1b-45a7-81be-11e10d4fa5ef서울수송초등학교병설유치원공립(병설)4개235㎡98㎡0㎡68㎡34㎡20231서울특별시 강북구 한천로124길 14
21서울특별시교육청성북강북교육지원청7e0ce4f2-8d6e-4568-9e83-17a353fee72b서울송천초등학교병설유치원공립(병설)4개248㎡66㎡0㎡66㎡16㎡20231서울특별시 강북구 삼양로20길 29
22서울특별시교육청성북강북교육지원청d6df2050-e2a0-4e60-bffa-db3ae9220338서울우이유치원공립(단설)11개691㎡138㎡219㎡997㎡153㎡20231서울특별시 강북구 삼양로99길 36
23서울특별시교육청성북강북교육지원청1ecec08d-0cc5-b044-e053-0a32095ab044새시대유치원사립(사인)3개183㎡15㎡15㎡15㎡20201서울특별시 강북구 도봉로97길 45