Overview

Dataset statistics

Number of variables13
Number of observations53
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory107.5 B

Variable types

Categorical6
Text7

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-20636/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
교육지원청명 has constant value ""Constant
공시차수 is highly imbalanced (62.3%)Imbalance
유치원코드 has unique valuesUnique
유치원명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:07:43.930337
Analysis finished2024-03-13 13:07:45.256739
Duration1.33 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
서울특별시교육청
53 

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 53
100.0%

Length

2024-03-13T22:07:45.319333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:07:45.419173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 53
100.0%

교육지원청명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
성북강북교육지원청
53 

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 53
100.0%

Length

2024-03-13T22:07:45.514458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:07:45.614293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성북강북교육지원청 53
100.0%

유치원코드
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T22:07:45.835989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters1908
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

Unique53 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f350-b044-e053-0a32095ab044
2nd row1ecec08c-fff3-b044-e053-0a32095ab044
3rd row1ecec08d-02aa-b044-e053-0a32095ab044
4th row9236ee2c-f1f2-4550-911b-4ee00ac5dc2d
5th row1ecec08c-ee4e-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f350-b044-e053-0a32095ab044 1
 
1.9%
1ecec08c-ffa9-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-016f-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0251-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0268-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0269-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0426-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0427-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0428-b044-e053-0a32095ab044 1
 
1.9%
1ecec08d-0429-b044-e053-0a32095ab044 1
 
1.9%
Other values (43) 43
81.1%
2024-03-13T22:07:46.216125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1082
56.7%
Lowercase Letter 614
32.2%
Dash Punctuation 212
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
31.1%
4 221
20.4%
5 113
 
10.4%
3 113
 
10.4%
9 72
 
6.7%
2 70
 
6.5%
8 66
 
6.1%
1 65
 
6.0%
6 14
 
1.3%
7 11
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1294
67.8%
Latin 614
32.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 337
26.0%
4 221
17.1%
- 212
16.4%
5 113
 
8.7%
3 113
 
8.7%
9 72
 
5.6%
2 70
 
5.4%
8 66
 
5.1%
1 65
 
5.0%
6 14
 
1.1%
Latin
ValueCountFrequency (%)
e 180
29.3%
c 137
22.3%
b 111
18.1%
a 110
17.9%
f 39
 
6.4%
d 37
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 337
17.7%
4 221
11.6%
- 212
11.1%
e 180
9.4%
c 137
7.2%
5 113
 
5.9%
3 113
 
5.9%
b 111
 
5.8%
a 110
 
5.8%
9 72
 
3.8%
Other values (7) 302
15.8%

유치원명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T22:07:46.481047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.6037736
Min length5

Characters and Unicode

Total characters403
Distinct characters92
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

Unique53 ?
Unique (%)100.0%

Sample

1st row빛나라유치원
2nd row까망유치원
3rd row한가람유치원
4th row서울좋은소리유치원분원
5th row개동유치원
ValueCountFrequency (%)
빛나라유치원 1
 
1.9%
서울장월초등학교병설유치원 1
 
1.9%
서울동신초등학교병설유치원 1
 
1.9%
나래유치원 1
 
1.9%
새삼선유치원 1
 
1.9%
반디유치원 1
 
1.9%
서울길음유치원 1
 
1.9%
서울삼선초등학교병설유치원 1
 
1.9%
서울성북초등학교병설유치원 1
 
1.9%
서울숭곡초등학교병설유치원 1
 
1.9%
Other values (43) 43
81.1%
2024-03-13T22:07:46.926316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
울 17
 
4.2%
서 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
설 13
 
3.2%
Other values (82) 141
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
울 17
 
4.2%
서 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
설 13
 
3.2%
Other values (82) 141
35.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
울 17
 
4.2%
서 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
설 13
 
3.2%
Other values (82) 141
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 55
 
13.6%
유 53
 
13.2%
치 53
 
13.2%
울 17
 
4.2%
서 17
 
4.2%
학 14
 
3.5%
교 14
 
3.5%
초 13
 
3.2%
등 13
 
3.2%
설 13
 
3.2%
Other values (82) 141
35.0%

설립유형
Categorical

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
사립(사인)
20 
사립(법인)
17 
공립(병설)
13 
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 row공립(단설)
5th row사립(법인)

Common Values

ValueCountFrequency (%)
사립(사인) 20
37.7%
사립(법인) 17
32.1%
공립(병설) 13
24.5%
공립(단설) 3
 
5.7%

Length

2024-03-13T22:07:47.138520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:07:47.255827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 20
37.7%
사립(법인 17
32.1%
공립(병설 13
24.5%
공립(단설 3
 
5.7%

교실수
Categorical

Distinct12
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size556.0 B
4개
19 
5개
10 
7개
5 
6개
4 
3개
4 
Other values (7)
11 

Length

Max length3
Median length2
Mean length2.0566038
Min length2

Unique

Unique5 ?
Unique (%)9.4%

Sample

1st row6개
2nd row2개
3rd row10개
4th row4개
5th row7개

Common Values

ValueCountFrequency (%)
4개 19
35.8%
5개 10
18.9%
7개 5
 
9.4%
6개 4
 
7.5%
3개 4
 
7.5%
9개 4
 
7.5%
8개 2
 
3.8%
2개 1
 
1.9%
10개 1
 
1.9%
11개 1
 
1.9%
Other values (2) 2
 
3.8%

Length

2024-03-13T22:07:47.378134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4개 19
35.8%
5개 10
18.9%
7개 5
 
9.4%
6개 4
 
7.5%
3개 4
 
7.5%
9개 4
 
7.5%
8개 2
 
3.8%
2개 1
 
1.9%
10개 1
 
1.9%
11개 1
 
1.9%
Other values (2) 2
 
3.8%

교실면적
Text

Distinct46
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T22:07:47.580453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9433962
Min length1

Characters and Unicode

Total characters209
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

Unique40 ?
Unique (%)75.5%

Sample

1st row325㎡
2nd row105㎡
3rd row361㎡
4th row210㎡
5th row396㎡
ValueCountFrequency (%)
240㎡ 3
 
5.7%
264㎡ 2
 
3.8%
235㎡ 2
 
3.8%
210㎡ 2
 
3.8%
396㎡ 2
 
3.8%
260㎡ 2
 
3.8%
386㎡ 1
 
1.9%
632㎡ 1
 
1.9%
315㎡ 1
 
1.9%
196㎡ 1
 
1.9%
Other values (36) 36
67.9%
2024-03-13T22:07:47.946813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 53
25.4%
2 27
12.9%
3 24
11.5%
0 20
 
9.6%
4 18
 
8.6%
6 17
 
8.1%
5 17
 
8.1%
1 12
 
5.7%
8 9
 
4.3%
9 8
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
74.6%
Other Symbol 53
 
25.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 27
17.3%
3 24
15.4%
0 20
12.8%
4 18
11.5%
6 17
10.9%
5 17
10.9%
1 12
7.7%
8 9
 
5.8%
9 8
 
5.1%
7 4
 
2.6%
Other Symbol
ValueCountFrequency (%)
㎡ 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 53
25.4%
2 27
12.9%
3 24
11.5%
0 20
 
9.6%
4 18
 
8.6%
6 17
 
8.1%
5 17
 
8.1%
1 12
 
5.7%
8 9
 
4.3%
9 8
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
74.6%
CJK Compat 53
 
25.4%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 53
100.0%
ASCII
ValueCountFrequency (%)
2 27
17.3%
3 24
15.4%
0 20
12.8%
4 18
11.5%
6 17
10.9%
5 17
10.9%
1 12
7.7%
8 9
 
5.8%
9 8
 
5.1%
7 4
 
2.6%

체육장
Categorical

Distinct25
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
㎡
21 
0㎡
7 
92㎡
3 
182㎡
 
1
166㎡
 
1
Other values (20)
20 

Length

Max length5
Median length4
Mean length2.3773585
Min length1

Unique

Unique22 ?
Unique (%)41.5%

Sample

1st row92㎡
2nd row㎡
3rd row㎡
4th row㎡
5th row0㎡

Common Values

ValueCountFrequency (%)
㎡ 21
39.6%
0㎡ 7
 
13.2%
92㎡ 3
 
5.7%
182㎡ 1
 
1.9%
166㎡ 1
 
1.9%
4070㎡ 1
 
1.9%
139㎡ 1
 
1.9%
95㎡ 1
 
1.9%
110㎡ 1
 
1.9%
162㎡ 1
 
1.9%
Other values (15) 15
28.3%

Length

2024-03-13T22:07:48.092937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㎡ 21
39.6%
0㎡ 7
 
13.2%
92㎡ 3
 
5.7%
237㎡ 1
 
1.9%
149㎡ 1
 
1.9%
173㎡ 1
 
1.9%
367㎡ 1
 
1.9%
101㎡ 1
 
1.9%
42㎡ 1
 
1.9%
73㎡ 1
 
1.9%
Other values (15) 15
28.3%

보건/위생공간
Text

Distinct28
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T22:07:48.276615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.7924528
Min length2

Characters and Unicode

Total characters148
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)39.6%

Sample

1st row33㎡
2nd row0㎡
3rd row62㎡
4th row0㎡
5th row134㎡
ValueCountFrequency (%)
0㎡ 13
24.5%
40㎡ 5
 
9.4%
20㎡ 4
 
7.5%
45㎡ 3
 
5.7%
81㎡ 3
 
5.7%
33㎡ 2
 
3.8%
17㎡ 2
 
3.8%
102㎡ 1
 
1.9%
138㎡ 1
 
1.9%
26㎡ 1
 
1.9%
Other values (18) 18
34.0%
2024-03-13T22:07:48.592230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 53
35.8%
0 27
18.2%
3 12
 
8.1%
4 11
 
7.4%
1 9
 
6.1%
2 8
 
5.4%
8 7
 
4.7%
7 6
 
4.1%
5 5
 
3.4%
9 5
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95
64.2%
Other Symbol 53
35.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
28.4%
3 12
12.6%
4 11
11.6%
1 9
 
9.5%
2 8
 
8.4%
8 7
 
7.4%
7 6
 
6.3%
5 5
 
5.3%
9 5
 
5.3%
6 5
 
5.3%
Other Symbol
ValueCountFrequency (%)
㎡ 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 148
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 53
35.8%
0 27
18.2%
3 12
 
8.1%
4 11
 
7.4%
1 9
 
6.1%
2 8
 
5.4%
8 7
 
4.7%
7 6
 
4.1%
5 5
 
3.4%
9 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95
64.2%
CJK Compat 53
35.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 53
100.0%
ASCII
ValueCountFrequency (%)
0 27
28.4%
3 12
12.6%
4 11
11.6%
1 9
 
9.5%
2 8
 
8.4%
8 7
 
7.4%
7 6
 
6.3%
5 5
 
5.3%
9 5
 
5.3%
6 5
 
5.3%

조리실/급식공간
Text

Distinct43
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T22:07:48.780987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.3018868
Min length2

Characters and Unicode

Total characters175
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

Unique39 ?
Unique (%)73.6%

Sample

1st row44㎡
2nd row14㎡
3rd row137㎡
4th row320㎡
5th row67㎡
ValueCountFrequency (%)
0㎡ 8
 
15.1%
10㎡ 2
 
3.8%
105㎡ 2
 
3.8%
88㎡ 2
 
3.8%
197㎡ 1
 
1.9%
132㎡ 1
 
1.9%
44㎡ 1
 
1.9%
98㎡ 1
 
1.9%
35㎡ 1
 
1.9%
185㎡ 1
 
1.9%
Other values (33) 33
62.3%
2024-03-13T22:07:49.100559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 53
30.3%
5 20
 
11.4%
1 18
 
10.3%
0 16
 
9.1%
3 16
 
9.1%
8 14
 
8.0%
2 11
 
6.3%
4 11
 
6.3%
9 8
 
4.6%
7 5
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 122
69.7%
Other Symbol 53
30.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 20
16.4%
1 18
14.8%
0 16
13.1%
3 16
13.1%
8 14
11.5%
2 11
9.0%
4 11
9.0%
9 8
 
6.6%
7 5
 
4.1%
6 3
 
2.5%
Other Symbol
ValueCountFrequency (%)
㎡ 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 175
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 53
30.3%
5 20
 
11.4%
1 18
 
10.3%
0 16
 
9.1%
3 16
 
9.1%
8 14
 
8.0%
2 11
 
6.3%
4 11
 
6.3%
9 8
 
4.6%
7 5
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
69.7%
CJK Compat 53
30.3%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 53
100.0%
ASCII
ValueCountFrequency (%)
5 20
16.4%
1 18
14.8%
0 16
13.1%
3 16
13.1%
8 14
11.5%
2 11
9.0%
4 11
9.0%
9 8
 
6.6%
7 5
 
4.1%
6 3
 
2.5%

기타공간
Text

Distinct32
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T22:07:49.310215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9245283
Min length2

Characters and Unicode

Total characters155
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 (%)37.7%

Sample

1st row99㎡
2nd row50㎡
3rd row70㎡
4th row31㎡
5th row16㎡
ValueCountFrequency (%)
0㎡ 6
 
11.3%
20㎡ 6
 
11.3%
14㎡ 3
 
5.7%
16㎡ 2
 
3.8%
32㎡ 2
 
3.8%
50㎡ 2
 
3.8%
15㎡ 2
 
3.8%
9㎡ 2
 
3.8%
34㎡ 2
 
3.8%
25㎡ 2
 
3.8%
Other values (22) 24
45.3%
2024-03-13T22:07:49.702088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 53
34.2%
2 21
 
13.5%
1 19
 
12.3%
0 17
 
11.0%
5 11
 
7.1%
3 11
 
7.1%
4 9
 
5.8%
9 6
 
3.9%
7 4
 
2.6%
6 2
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102
65.8%
Other Symbol 53
34.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 21
20.6%
1 19
18.6%
0 17
16.7%
5 11
10.8%
3 11
10.8%
4 9
8.8%
9 6
 
5.9%
7 4
 
3.9%
6 2
 
2.0%
8 2
 
2.0%
Other Symbol
ValueCountFrequency (%)
㎡ 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 155
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 53
34.2%
2 21
 
13.5%
1 19
 
12.3%
0 17
 
11.0%
5 11
 
7.1%
3 11
 
7.1%
4 9
 
5.8%
9 6
 
3.9%
7 4
 
2.6%
6 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 102
65.8%
CJK Compat 53
34.2%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 53
100.0%
ASCII
ValueCountFrequency (%)
2 21
20.6%
1 19
18.6%
0 17
16.7%
5 11
10.8%
3 11
10.8%
4 9
8.8%
9 6
 
5.9%
7 4
 
3.9%
6 2
 
2.0%
8 2
 
2.0%

공시차수
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size556.0 B
20231
46 
20181
 
3
20191
 
3
20221
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
20231 46
86.8%
20181 3
 
5.7%
20191 3
 
5.7%
20221 1
 
1.9%

Length

2024-03-13T22:07:49.850218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:07:49.982668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20231 46
86.8%
20181 3
 
5.7%
20191 3
 
5.7%
20221 1
 
1.9%

주소
Text

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-03-13T22:07:50.233937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length18.207547
Min length16

Characters and Unicode

Total characters965
Distinct characters58
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

Unique48 ?
Unique (%)90.6%

Sample

1st row서울특별시 성북구 종암로9길 78
2nd row서울특별시 성북구 장월로 102
3rd row서울특별시 성북구 서경로 166
4th row서울특별시 성북구 숭인로 50
5th row서울특별시 성북구 보국문로 143
ValueCountFrequency (%)
서울특별시 53
25.0%
성북구 53
25.0%
성북로4길 4
 
1.9%
52 4
 
1.9%
16 3
 
1.4%
50 2
 
0.9%
성북로 2
 
0.9%
9 2
 
0.9%
17 2
 
0.9%
73 2
 
0.9%
Other values (79) 85
40.1%
2024-03-13T22:07:50.705937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
16.5%
북 62
 
6.4%
성 60
 
6.2%
서 56
 
5.8%
구 53
 
5.5%
울 53
 
5.5%
시 53
 
5.5%
특 53
 
5.5%
별 53
 
5.5%
로 51
 
5.3%
Other values (48) 312
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 634
65.7%
Decimal Number 170
 
17.6%
Space Separator 159
 
16.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Decimal Number
ValueCountFrequency (%)
1 35
20.6%
2 28
16.5%
4 21
12.4%
3 17
10.0%
5 15
8.8%
6 15
8.8%
7 11
 
6.5%
9 10
 
5.9%
0 9
 
5.3%
8 9
 
5.3%
Space Separator
ValueCountFrequency (%)
159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 634
65.7%
Common 331
34.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%
Common
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
0 9
 
2.7%
Other values (2) 11
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 634
65.7%
ASCII 331
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
48.0%
1 35
 
10.6%
2 28
 
8.5%
4 21
 
6.3%
3 17
 
5.1%
5 15
 
4.5%
6 15
 
4.5%
7 11
 
3.3%
9 10
 
3.0%
0 9
 
2.7%
Other values (2) 11
 
3.3%
Hangul
ValueCountFrequency (%)
북 62
9.8%
성 60
9.5%
서 56
8.8%
구 53
8.4%
울 53
8.4%
시 53
8.4%
특 53
8.4%
별 53
8.4%
로 51
8.0%
길 41
6.5%
Other values (36) 99
15.6%

Correlations

2024-03-13T22:07:50.808939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
유치원코드1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
유치원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
설립유형1.0001.0001.0000.0000.6460.0000.0000.5500.8110.1020.658
교실수1.0001.0000.0001.0000.9890.5580.7840.9140.8790.0000.978
교실면적1.0001.0000.6460.9891.0000.9470.9750.9720.9510.9410.985
체육장1.0001.0000.0000.5580.9471.0000.7950.9570.6910.0001.000
보건/위생공간1.0001.0000.0000.7840.9750.7951.0000.9790.8390.0000.986
조리실/급식공간1.0001.0000.5500.9140.9720.9570.9791.0000.9650.0000.994
기타공간1.0001.0000.8110.8790.9510.6910.8390.9651.0000.0000.993
공시차수1.0001.0000.1020.0000.9410.0000.0000.0000.0001.0000.000
주소1.0001.0000.6580.9780.9851.0000.9860.9940.9930.0001.000
2024-03-13T22:07:50.944301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수설립유형체육장교실수
공시차수1.0000.0230.0000.000
설립유형0.0231.0000.0000.000
체육장0.0000.0001.0000.150
교실수0.0000.0000.1501.000
2024-03-13T22:07:51.051842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수체육장공시차수
설립유형1.0000.0000.0000.023
교실수0.0001.0000.1500.000
체육장0.0000.1501.0000.000
공시차수0.0230.0000.0001.000

Missing values

2024-03-13T22:07:45.012897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:07:45.190914image/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-f350-b044-e053-0a32095ab044빛나라유치원사립(사인)6개325㎡92㎡33㎡44㎡99㎡20181서울특별시 성북구 종암로9길 78
1서울특별시교육청성북강북교육지원청1ecec08c-fff3-b044-e053-0a32095ab044까망유치원사립(사인)2개105㎡㎡0㎡14㎡50㎡20181서울특별시 성북구 장월로 102
2서울특별시교육청성북강북교육지원청1ecec08d-02aa-b044-e053-0a32095ab044한가람유치원사립(사인)10개361㎡㎡62㎡137㎡70㎡20231서울특별시 성북구 서경로 166
3서울특별시교육청성북강북교육지원청9236ee2c-f1f2-4550-911b-4ee00ac5dc2d서울좋은소리유치원분원공립(단설)4개210㎡㎡0㎡320㎡31㎡20231서울특별시 성북구 숭인로 50
4서울특별시교육청성북강북교육지원청1ecec08c-ee4e-b044-e053-0a32095ab044개동유치원사립(법인)7개396㎡0㎡134㎡67㎡16㎡20231서울특별시 성북구 보국문로 143
5서울특별시교육청성북강북교육지원청1ecec08c-ee4f-b044-e053-0a32095ab044영광유치원사립(사인)8개435㎡166㎡40㎡81㎡25㎡20231서울특별시 성북구 북악산로 913
6서울특별시교육청성북강북교육지원청1ecec08c-ee50-b044-e053-0a32095ab044은영유치원사립(법인)5개388㎡4070㎡0㎡250㎡14㎡20231서울특별시 성북구 보문사길 18
7서울특별시교육청성북강북교육지원청1ecec08c-ef05-b044-e053-0a32095ab044두산효자유치원사립(사인)4개261㎡139㎡34㎡303㎡34㎡20231서울특별시 성북구 화랑로48길 16
8서울특별시교육청성북강북교육지원청1ecec08c-ef38-b044-e053-0a32095ab044새싹유치원사립(법인)6개383㎡㎡38㎡258㎡25㎡20231서울특별시 성북구 정릉로 282
9서울특별시교육청성북강북교육지원청1ecec08c-efed-b044-e053-0a32095ab044영암유치원사립(법인)4개237㎡㎡9㎡0㎡9㎡20231서울특별시 성북구 안암로7길 66
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
43서울특별시교육청성북강북교육지원청1ecec08d-084d-b044-e053-0a32095ab044영천유치원사립(법인)3개500㎡0㎡0㎡0㎡10㎡20231서울특별시 성북구 장위로 34
44서울특별시교육청성북강북교육지원청1ecec08d-0ae6-b044-e053-0a32095ab044좋은나라유치원사립(사인)9개422㎡42㎡68㎡595㎡23㎡20231서울특별시 성북구 종암로24가길 53
45서울특별시교육청성북강북교육지원청1ecec08d-0af8-b044-e053-0a32095ab044세아유치원사립(사인)4개260㎡㎡17㎡105㎡20㎡20231서울특별시 성북구 성북로4길 52
46서울특별시교육청성북강북교육지원청1ecec08d-0b26-b044-e053-0a32095ab044서울석관초등학교병설유치원공립(병설)6개405㎡101㎡81㎡135㎡34㎡20231서울특별시 성북구 돌곶이로22길 21
47서울특별시교육청성북강북교육지원청1ecec08d-0d94-b044-e053-0a32095ab044동덕여자대학교부속유치원사립(법인)8개450㎡367㎡79㎡514㎡14㎡20231서울특별시 성북구 장월로1가길 9
48서울특별시교육청성북강북교육지원청1ecec08d-0eb6-b044-e053-0a32095ab044서울숭례초등학교병설유치원공립(병설)7개460㎡173㎡45㎡283㎡22㎡20231서울특별시 성북구 종암로5길 14
49서울특별시교육청성북강북교육지원청1ecec08d-0f4e-b044-e053-0a32095ab044천사유치원사립(사인)5개300㎡㎡0㎡88㎡20㎡20221서울특별시 성북구 성북로4길 52
50서울특별시교육청성북강북교육지원청1ecec08d-0f77-b044-e053-0a32095ab044푸른샘유치원사립(사인)9개632㎡㎡63㎡13㎡202㎡20191서울특별시 성북구 길음로13길 29
51서울특별시교육청성북강북교육지원청31f91c90-4c4e-485d-9929-976cb8bfac30서울좋은소리유치원공립(단설)5개227㎡92㎡0㎡0㎡22㎡20231서울특별시 성북구 길음로13길 29
52서울특별시교육청성북강북교육지원청7ec89e9b-5287-4ece-b0d3-24499defde1b서울장위초등학교병설유치원공립(병설)5개323㎡242㎡40㎡55㎡32㎡20231서울특별시 성북구 장월로8가길 41