Overview

Dataset statistics

Number of variables13
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory108.5 B

Variable types

Categorical5
Text8

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-20653/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
공시차수 is highly imbalanced (54.8%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 12:49:07.411289
Analysis finished2024-03-13 12:49:08.674384
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
서울특별시교육청
38 

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 38
100.0%

Length

2024-03-13T21:49:08.763073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:49:08.947823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 38
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
강동송파교육지원청
38 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강동송파교육지원청 38
100.0%

Length

2024-03-13T21:49:09.159659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:49:09.322383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강동송파교육지원청 38
100.0%

유치원코드
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T21:49:09.621011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1368
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

Unique38 ?
Unique (%)100.0%

Sample

1st row1ecec08d-0eee-b044-e053-0a32095ab044
2nd row1ecec08c-f289-b044-e053-0a32095ab044
3rd row1ecec08c-f337-b044-e053-0a32095ab044
4th row1ecec08c-f338-b044-e053-0a32095ab044
5th row1ecec08c-f33c-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08d-0eee-b044-e053-0a32095ab044 1
 
2.6%
1ecec08c-f4c7-b044-e053-0a32095ab044 1
 
2.6%
1ecec08c-fdba-b044-e053-0a32095ab044 1
 
2.6%
dc3c0174-def5-4b61-a69d-19ff119cdf2e 1
 
2.6%
1ecec08c-ed95-b044-e053-0a32095ab044 1
 
2.6%
1ecec08c-ef39-b044-e053-0a32095ab044 1
 
2.6%
1ecec08c-f123-b044-e053-0a32095ab044 1
 
2.6%
1ecec08c-f12c-b044-e053-0a32095ab044 1
 
2.6%
1ecec08c-f426-b044-e053-0a32095ab044 1
 
2.6%
1ecec08c-f8d2-b044-e053-0a32095ab044 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T21:49:10.129798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 216
15.8%
- 152
11.1%
4 150
11.0%
e 111
8.1%
c 106
7.7%
3 88
 
6.4%
5 80
 
5.8%
a 80
 
5.8%
b 76
 
5.6%
1 56
 
4.1%
Other values (7) 253
18.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 772
56.4%
Lowercase Letter 444
32.5%
Dash Punctuation 152
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 216
28.0%
4 150
19.4%
3 88
11.4%
5 80
 
10.4%
1 56
 
7.3%
9 53
 
6.9%
8 52
 
6.7%
2 51
 
6.6%
7 17
 
2.2%
6 9
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 111
25.0%
c 106
23.9%
a 80
18.0%
b 76
17.1%
f 38
 
8.6%
d 33
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
67.5%
Latin 444
32.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 216
23.4%
- 152
16.5%
4 150
16.2%
3 88
9.5%
5 80
 
8.7%
1 56
 
6.1%
9 53
 
5.7%
8 52
 
5.6%
2 51
 
5.5%
7 17
 
1.8%
Latin
ValueCountFrequency (%)
e 111
25.0%
c 106
23.9%
a 80
18.0%
b 76
17.1%
f 38
 
8.6%
d 33
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 216
15.8%
- 152
11.1%
4 150
11.0%
e 111
8.1%
c 106
7.7%
3 88
 
6.4%
5 80
 
5.8%
a 80
 
5.8%
b 76
 
5.6%
1 56
 
4.1%
Other values (7) 253
18.5%

유치원명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T21:49:10.512530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13.5
Mean length7.7631579
Min length5

Characters and Unicode

Total characters295
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row고덕한울유치원
2nd row예슬유치원
3rd row서울고명초등학교병설유치원
4th row서울명일유치원
5th row성보나유치원
ValueCountFrequency (%)
고덕한울유치원 1
 
2.6%
반석유치원 1
 
2.6%
강일늘사랑유치원 1
 
2.6%
서울고일초등학교병설유치원 1
 
2.6%
송원유치원 1
 
2.6%
한영중고등학교병설한영유치원 1
 
2.6%
준현유치원 1
 
2.6%
고덕유치원 1
 
2.6%
오송유치원 1
 
2.6%
화랑유치원 1
 
2.6%
Other values (28) 28
73.7%
2024-03-13T21:49:10.974448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
13.6%
40
13.6%
38
 
12.9%
13
 
4.4%
12
 
4.1%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
Other values (50) 97
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
13.6%
40
13.6%
38
 
12.9%
13
 
4.4%
12
 
4.1%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
Other values (50) 97
32.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
13.6%
40
13.6%
38
 
12.9%
13
 
4.4%
12
 
4.1%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
Other values (50) 97
32.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
40
13.6%
40
13.6%
38
 
12.9%
13
 
4.4%
12
 
4.1%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
11
 
3.7%
Other values (50) 97
32.9%

설립유형
Categorical

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
사립(사인)
21 
공립(병설)
10 
사립(법인)
공립(단설)
 
2

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립(사인) 21
55.3%
공립(병설) 10
26.3%
사립(법인) 5
 
13.2%
공립(단설) 2
 
5.3%

Length

2024-03-13T21:49:11.199935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:49:11.363373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 21
55.3%
공립(병설 10
26.3%
사립(법인 5
 
13.2%
공립(단설 2
 
5.3%

교실수
Categorical

Distinct14
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
6개
3개
5개
9개
7개
Other values (9)
15 

Length

Max length3
Median length2
Mean length2.1842105
Min length2

Unique

Unique5 ?
Unique (%)13.2%

Sample

1st row6개
2nd row9개
3rd row3개
4th row7개
5th row3개

Common Values

ValueCountFrequency (%)
6개 6
15.8%
3개 5
13.2%
5개 5
13.2%
9개 4
10.5%
7개 3
7.9%
2개 3
7.9%
4개 3
7.9%
8개 2
 
5.3%
10개 2
 
5.3%
17개 1
 
2.6%
Other values (4) 4
10.5%

Length

2024-03-13T21:49:11.556326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
6개 6
15.8%
3개 5
13.2%
5개 5
13.2%
9개 4
10.5%
7개 3
7.9%
2개 3
7.9%
4개 3
7.9%
8개 2
 
5.3%
10개 2
 
5.3%
17개 1
 
2.6%
Other values (4) 4
10.5%
Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T21:49:11.816544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length4.1578947
Min length3

Characters and Unicode

Total characters158
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

Unique36 ?
Unique (%)94.7%

Sample

1st row325㎡
2nd row880㎡
3rd row198㎡
4th row462㎡
5th row194㎡
ValueCountFrequency (%)
330㎡ 2
 
5.3%
325㎡ 1
 
2.6%
426㎡ 1
 
2.6%
414㎡ 1
 
2.6%
1340㎡ 1
 
2.6%
550㎡ 1
 
2.6%
542㎡ 1
 
2.6%
804㎡ 1
 
2.6%
246㎡ 1
 
2.6%
150㎡ 1
 
2.6%
Other values (27) 27
71.1%
2024-03-13T21:49:12.819024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
24.1%
1 19
12.0%
3 16
10.1%
2 15
 
9.5%
0 14
 
8.9%
4 14
 
8.9%
5 13
 
8.2%
6 12
 
7.6%
9 7
 
4.4%
8 6
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
75.9%
Other Symbol 38
 
24.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19
15.8%
3 16
13.3%
2 15
12.5%
0 14
11.7%
4 14
11.7%
5 13
10.8%
6 12
10.0%
9 7
 
5.8%
8 6
 
5.0%
7 4
 
3.3%
Other Symbol
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 158
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
38
24.1%
1 19
12.0%
3 16
10.1%
2 15
 
9.5%
0 14
 
8.9%
4 14
 
8.9%
5 13
 
8.2%
6 12
 
7.6%
9 7
 
4.4%
8 6
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
75.9%
CJK Compat 38
 
24.1%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
38
100.0%
ASCII
ValueCountFrequency (%)
1 19
15.8%
3 16
13.3%
2 15
12.5%
0 14
11.7%
4 14
11.7%
5 13
10.8%
6 12
10.0%
9 7
 
5.8%
8 6
 
5.0%
7 4
 
3.3%
Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T21:49:13.061708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.3157895
Min length1

Characters and Unicode

Total characters88
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

Unique20 ?
Unique (%)52.6%

Sample

1st row
2nd row
3rd row132㎡
4th row
5th row
ValueCountFrequency (%)
18
47.4%
998㎡ 1
 
2.6%
165㎡ 1
 
2.6%
94㎡ 1
 
2.6%
123㎡ 1
 
2.6%
87㎡ 1
 
2.6%
207㎡ 1
 
2.6%
0㎡ 1
 
2.6%
69㎡ 1
 
2.6%
71㎡ 1
 
2.6%
Other values (11) 11
28.9%
2024-03-13T21:49:13.520427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
43.2%
9 9
 
10.2%
7 7
 
8.0%
2 6
 
6.8%
6 6
 
6.8%
1 5
 
5.7%
0 4
 
4.5%
8 4
 
4.5%
3 3
 
3.4%
5 3
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50
56.8%
Other Symbol 38
43.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 9
18.0%
7 7
14.0%
2 6
12.0%
6 6
12.0%
1 5
10.0%
0 4
8.0%
8 4
8.0%
3 3
 
6.0%
5 3
 
6.0%
4 3
 
6.0%
Other Symbol
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
38
43.2%
9 9
 
10.2%
7 7
 
8.0%
2 6
 
6.8%
6 6
 
6.8%
1 5
 
5.7%
0 4
 
4.5%
8 4
 
4.5%
3 3
 
3.4%
5 3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 50
56.8%
CJK Compat 38
43.2%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
38
100.0%
ASCII
ValueCountFrequency (%)
9 9
18.0%
7 7
14.0%
2 6
12.0%
6 6
12.0%
1 5
10.0%
0 4
8.0%
8 4
8.0%
3 3
 
6.0%
5 3
 
6.0%
4 3
 
6.0%
Distinct27
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T21:49:13.763957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7368421
Min length2

Characters and Unicode

Total characters104
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)60.5%

Sample

1st row85㎡
2nd row0㎡
3rd row66㎡
4th row99㎡
5th row90㎡
ValueCountFrequency (%)
0㎡ 9
23.7%
28㎡ 2
 
5.3%
15㎡ 2
 
5.3%
66㎡ 2
 
5.3%
35㎡ 1
 
2.6%
85㎡ 1
 
2.6%
29㎡ 1
 
2.6%
246㎡ 1
 
2.6%
70㎡ 1
 
2.6%
7㎡ 1
 
2.6%
Other values (17) 17
44.7%
2024-03-13T21:49:14.245579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
36.5%
0 13
 
12.5%
2 10
 
9.6%
6 9
 
8.7%
8 6
 
5.8%
1 6
 
5.8%
5 6
 
5.8%
3 6
 
5.8%
9 5
 
4.8%
4 3
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 66
63.5%
Other Symbol 38
36.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13
19.7%
2 10
15.2%
6 9
13.6%
8 6
9.1%
1 6
9.1%
5 6
9.1%
3 6
9.1%
9 5
 
7.6%
4 3
 
4.5%
7 2
 
3.0%
Other Symbol
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
38
36.5%
0 13
 
12.5%
2 10
 
9.6%
6 9
 
8.7%
8 6
 
5.8%
1 6
 
5.8%
5 6
 
5.8%
3 6
 
5.8%
9 5
 
4.8%
4 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66
63.5%
CJK Compat 38
36.5%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
38
100.0%
ASCII
ValueCountFrequency (%)
0 13
19.7%
2 10
15.2%
6 9
13.6%
8 6
9.1%
1 6
9.1%
5 6
9.1%
3 6
9.1%
9 5
 
7.6%
4 3
 
4.5%
7 2
 
3.0%
Distinct33
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T21:49:14.507756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4473684
Min length2

Characters and Unicode

Total characters131
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

Unique31 ?
Unique (%)81.6%

Sample

1st row20㎡
2nd row360㎡
3rd row0㎡
4th row967㎡
5th row27㎡
ValueCountFrequency (%)
0㎡ 5
 
13.2%
360㎡ 2
 
5.3%
48㎡ 1
 
2.6%
993㎡ 1
 
2.6%
130㎡ 1
 
2.6%
46㎡ 1
 
2.6%
24㎡ 1
 
2.6%
128㎡ 1
 
2.6%
129㎡ 1
 
2.6%
20㎡ 1
 
2.6%
Other values (23) 23
60.5%
2024-03-13T21:49:14.979081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
29.0%
3 14
 
10.7%
0 13
 
9.9%
2 13
 
9.9%
1 13
 
9.9%
9 10
 
7.6%
6 9
 
6.9%
4 6
 
4.6%
7 5
 
3.8%
5 5
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 93
71.0%
Other Symbol 38
29.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 14
15.1%
0 13
14.0%
2 13
14.0%
1 13
14.0%
9 10
10.8%
6 9
9.7%
4 6
6.5%
7 5
 
5.4%
5 5
 
5.4%
8 5
 
5.4%
Other Symbol
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 131
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
38
29.0%
3 14
 
10.7%
0 13
 
9.9%
2 13
 
9.9%
1 13
 
9.9%
9 10
 
7.6%
6 9
 
6.9%
4 6
 
4.6%
7 5
 
3.8%
5 5
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
71.0%
CJK Compat 38
29.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
38
100.0%
ASCII
ValueCountFrequency (%)
3 14
15.1%
0 13
14.0%
2 13
14.0%
1 13
14.0%
9 10
10.8%
6 9
9.7%
4 6
6.5%
7 5
 
5.4%
5 5
 
5.4%
8 5
 
5.4%
Distinct29
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T21:49:15.245624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9473684
Min length2

Characters and Unicode

Total characters112
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 (%)71.1%

Sample

1st row55㎡
2nd row35㎡
3rd row132㎡
4th row33㎡
5th row70㎡
ValueCountFrequency (%)
0㎡ 7
 
18.4%
33㎡ 4
 
10.5%
108㎡ 1
 
2.6%
55㎡ 1
 
2.6%
51㎡ 1
 
2.6%
19㎡ 1
 
2.6%
17㎡ 1
 
2.6%
1134㎡ 1
 
2.6%
54㎡ 1
 
2.6%
80㎡ 1
 
2.6%
Other values (19) 19
50.0%
2024-03-13T21:49:15.664442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
33.9%
3 17
15.2%
1 15
 
13.4%
0 13
 
11.6%
5 6
 
5.4%
2 5
 
4.5%
6 5
 
4.5%
4 4
 
3.6%
8 4
 
3.6%
9 3
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74
66.1%
Other Symbol 38
33.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 17
23.0%
1 15
20.3%
0 13
17.6%
5 6
 
8.1%
2 5
 
6.8%
6 5
 
6.8%
4 4
 
5.4%
8 4
 
5.4%
9 3
 
4.1%
7 2
 
2.7%
Other Symbol
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
38
33.9%
3 17
15.2%
1 15
 
13.4%
0 13
 
11.6%
5 6
 
5.4%
2 5
 
4.5%
6 5
 
4.5%
4 4
 
3.6%
8 4
 
3.6%
9 3
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74
66.1%
CJK Compat 38
33.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
38
100.0%
ASCII
ValueCountFrequency (%)
3 17
23.0%
1 15
20.3%
0 13
17.6%
5 6
 
8.1%
2 5
 
6.8%
6 5
 
6.8%
4 4
 
5.4%
8 4
 
5.4%
9 3
 
4.1%
7 2
 
2.7%

공시차수
Categorical

IMBALANCE 

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
20231
31 
20201
 
2
20211
 
2
20181
 
2
20191
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row20201
2nd row20231
3rd row20231
4th row20231
5th row20231

Common Values

ValueCountFrequency (%)
20231 31
81.6%
20201 2
 
5.3%
20211 2
 
5.3%
20181 2
 
5.3%
20191 1
 
2.6%

Length

2024-03-13T21:49:15.838221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:49:16.034471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 31
81.6%
20201 2
 
5.3%
20211 2
 
5.3%
20181 2
 
5.3%
20191 1
 
2.6%

주소
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-03-13T21:49:16.337052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.394737
Min length16

Characters and Unicode

Total characters737
Distinct characters49
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

Unique36 ?
Unique (%)94.7%

Sample

1st row서울특별시 강동구 양재대로 1706
2nd row서울특별시 강동구 상암로 11
3rd row서울특별시 강동구 고덕로46길 53
4th row서울특별시 강동구 암사19길 53
5th row서울특별시 강동구 고덕로83길 68
ValueCountFrequency (%)
서울특별시 38
25.0%
강동구 38
25.0%
구천면로 4
 
2.6%
53 2
 
1.3%
천호대로187길 2
 
1.3%
64 2
 
1.3%
상암로63길 2
 
1.3%
고덕로 2
 
1.3%
고덕로97길 2
 
1.3%
80 2
 
1.3%
Other values (58) 58
38.2%
2024-03-13T21:49:16.841745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
15.5%
44
 
6.0%
42
 
5.7%
39
 
5.3%
38
 
5.2%
38
 
5.2%
38
 
5.2%
38
 
5.2%
38
 
5.2%
37
 
5.0%
Other values (39) 271
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 460
62.4%
Decimal Number 155
 
21.0%
Space Separator 114
 
15.5%
Dash Punctuation 8
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
9.6%
42
9.1%
39
8.5%
38
8.3%
38
8.3%
38
8.3%
38
8.3%
38
8.3%
37
8.0%
26
 
5.7%
Other values (27) 82
17.8%
Decimal Number
ValueCountFrequency (%)
1 30
19.4%
3 25
16.1%
6 20
12.9%
8 15
9.7%
9 13
8.4%
2 12
 
7.7%
0 11
 
7.1%
5 11
 
7.1%
4 10
 
6.5%
7 8
 
5.2%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 460
62.4%
Common 277
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
9.6%
42
9.1%
39
8.5%
38
8.3%
38
8.3%
38
8.3%
38
8.3%
38
8.3%
37
8.0%
26
 
5.7%
Other values (27) 82
17.8%
Common
ValueCountFrequency (%)
114
41.2%
1 30
 
10.8%
3 25
 
9.0%
6 20
 
7.2%
8 15
 
5.4%
9 13
 
4.7%
2 12
 
4.3%
0 11
 
4.0%
5 11
 
4.0%
4 10
 
3.6%
Other values (2) 16
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 460
62.4%
ASCII 277
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
41.2%
1 30
 
10.8%
3 25
 
9.0%
6 20
 
7.2%
8 15
 
5.4%
9 13
 
4.7%
2 12
 
4.3%
0 11
 
4.0%
5 11
 
4.0%
4 10
 
3.6%
Other values (2) 16
 
5.8%
Hangul
ValueCountFrequency (%)
44
9.6%
42
9.1%
39
8.5%
38
8.3%
38
8.3%
38
8.3%
38
8.3%
38
8.3%
37
8.0%
26
 
5.7%
Other values (27) 82
17.8%

Correlations

2024-03-13T21:49:17.043176image/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
설립유형1.0001.0001.0000.0001.0000.0000.8030.5250.0000.0000.000
교실수1.0001.0000.0001.0000.9850.0000.7570.7740.8210.6170.000
교실면적1.0001.0001.0000.9851.0000.6690.9390.9741.0001.0000.994
체육장1.0001.0000.0000.0000.6691.0000.8640.8990.6820.9610.972
보건/위생공간1.0001.0000.8030.7570.9390.8641.0000.9810.9120.8680.939
조리실/급식공간1.0001.0000.5250.7740.9740.8990.9811.0000.9800.8280.974
기타공간1.0001.0000.0000.8211.0000.6820.9120.9801.0000.7120.956
공시차수1.0001.0000.0000.6171.0000.9610.8680.8280.7121.0000.000
주소1.0001.0000.0000.0000.9940.9720.9390.9740.9560.0001.000
2024-03-13T21:49:17.313028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형교실수
공시차수1.0000.0000.310
설립유형0.0001.0000.000
교실수0.3100.0001.000
2024-03-13T21:49:17.490229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수공시차수
설립유형1.0000.0000.000
교실수0.0001.0000.310
공시차수0.0000.3101.000

Missing values

2024-03-13T21:49:08.274347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:49:08.565949image/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
0서울특별시교육청강동송파교육지원청1ecec08d-0eee-b044-e053-0a32095ab044고덕한울유치원사립(사인)6개325㎡85㎡20㎡55㎡20201서울특별시 강동구 양재대로 1706
1서울특별시교육청강동송파교육지원청1ecec08c-f289-b044-e053-0a32095ab044예슬유치원사립(사인)9개880㎡0㎡360㎡35㎡20231서울특별시 강동구 상암로 11
2서울특별시교육청강동송파교육지원청1ecec08c-f337-b044-e053-0a32095ab044서울고명초등학교병설유치원공립(병설)3개198㎡132㎡66㎡0㎡132㎡20231서울특별시 강동구 고덕로46길 53
3서울특별시교육청강동송파교육지원청1ecec08c-f338-b044-e053-0a32095ab044서울명일유치원공립(단설)7개462㎡99㎡967㎡33㎡20231서울특별시 강동구 암사19길 53
4서울특별시교육청강동송파교육지원청1ecec08c-f33c-b044-e053-0a32095ab044성보나유치원사립(법인)3개194㎡90㎡27㎡70㎡20231서울특별시 강동구 고덕로83길 68
5서울특별시교육청강동송파교육지원청1ecec08c-f704-b044-e053-0a32095ab044명덕유치원사립(사인)9개501㎡159㎡86㎡210㎡40㎡20231서울특별시 강동구 동남로83길 66
6서울특별시교육청강동송파교육지원청1ecec08c-f7e0-b044-e053-0a32095ab044서울길동초등학교병설유치원공립(병설)5개165㎡900㎡32㎡75㎡26㎡20231서울특별시 강동구 양재대로116길 69
7서울특별시교육청강동송파교육지원청1ecec08c-f93f-b044-e053-0a32095ab044서울신명초등학교병설유치원공립(병설)2개113㎡77㎡19㎡77㎡12㎡20231서울특별시 강동구 명일로24길 33
8서울특별시교육청강동송파교육지원청1ecec08c-f973-b044-e053-0a32095ab044강동유정유치원사립(사인)17개897㎡846㎡13㎡1383㎡66㎡20231서울특별시 강동구 상일로10길 41
9서울특별시교육청강동송파교육지원청1ecec08d-029f-b044-e053-0a32095ab044돌샘유치원사립(사인)8개492㎡286㎡48㎡363㎡30㎡20231서울특별시 강동구 고덕로 131
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
28서울특별시교육청강동송파교육지원청1ecec08d-00bf-b044-e053-0a32095ab044예크유치원사립(사인)9개426㎡123㎡60㎡48㎡0㎡20181서울특별시 강동구 천호대로187길 73-10
29서울특별시교육청강동송파교육지원청1ecec08c-f8d2-b044-e053-0a32095ab044화랑유치원사립(사인)2개150㎡94㎡7㎡0㎡33㎡20201서울특별시 강동구 천중로35길 37-1
30서울특별시교육청강동송파교육지원청1ecec08c-f821-b044-e053-0a32095ab044녹원유치원사립(사인)4개201㎡165㎡0㎡129㎡0㎡20231서울특별시 강동구 상암로63길 39-10
31서울특별시교육청강동송파교육지원청1ecec08d-028f-b044-e053-0a32095ab044유정유치원사립(사인)14개1574㎡0㎡100㎡80㎡20231서울특별시 강동구 강동대로55길 83
32서울특별시교육청강동송파교육지원청1ecec08c-fc1d-b044-e053-0a32095ab044서울강덕초등학교병설유치원공립(병설)6개425㎡70㎡360㎡54㎡20231서울특별시 강동구 동남로82길 94-54
33서울특별시교육청강동송파교육지원청fa8ca68f-3afc-4cf1-9118-70174aec112e서울강솔초등학교병설유치원공립(병설)13개2609㎡274㎡246㎡226㎡1134㎡20191서울특별시 강동구 고덕로97길 80
34서울특별시교육청강동송파교육지원청1ecec08c-fc21-b044-e053-0a32095ab044근화유치원사립(사인)2개196㎡29㎡43㎡0㎡20231서울특별시 강동구 고덕로 240
35서울특별시교육청강동송파교육지원청1ecec08c-fc24-b044-e053-0a32095ab044둔촌유치원사립(사인)3개273㎡0㎡155㎡17㎡20231서울특별시 강동구 풍성로63길 73
36서울특별시교육청강동송파교육지원청1ecec08c-fdba-b044-e053-0a32095ab044강일늘사랑유치원사립(사인)10개1121㎡20㎡263㎡19㎡20231서울특별시 강동구 아리수로98길 62
37서울특별시교육청강동송파교육지원청1ecec08d-01d7-b044-e053-0a32095ab044은새유치원사립(사인)4개245㎡15㎡96㎡8㎡20231서울특별시 강동구 고덕로62길 58