Overview

Dataset statistics

Number of variables13
Number of observations938
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory96.3 KiB
Average record size in memory105.1 B

Variable types

Categorical4
Text8
Numeric1

Dataset

Description교육청명,교육지원청명,유치원코드,유치원명,설립유형,교실수,교실면적,체육장,보건/위생공간,조리실/급식공간,기타공간,공시차수,주소
Author한국교육학술정보원
URLhttps://data.seoul.go.kr/dataList/OA-20568/S/1/datasetView.do

Alerts

교육청명 has constant value ""Constant
유치원코드 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:52:05.224450
Analysis finished2024-03-13 13:52:06.370902
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육청명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
서울특별시교육청
938 

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 938
100.0%

Length

2024-03-13T22:52:06.444053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:52:06.544231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시교육청 938
100.0%

교육지원청명
Categorical

Distinct11
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
북부교육지원청
113 
강서양천교육지원청
109 
서부교육지원청
103 
강동송파교육지원청
98 
남부교육지원청
97 
Other values (6)
418 

Length

Max length9
Median length9
Mean length8.0746269
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북부교육지원청 113
12.0%
강서양천교육지원청 109
11.6%
서부교육지원청 103
11.0%
강동송파교육지원청 98
10.4%
남부교육지원청 97
10.3%
성북강북교육지원청 77
8.2%
동작관악교육지원청 77
8.2%
강남서초교육지원청 73
7.8%
동부교육지원청 72
7.7%
성동광진교육지원청 70
7.5%

Length

2024-03-13T22:52:06.659359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북부교육지원청 113
12.0%
강서양천교육지원청 109
11.6%
서부교육지원청 103
11.0%
강동송파교육지원청 98
10.4%
남부교육지원청 97
10.3%
성북강북교육지원청 77
8.2%
동작관악교육지원청 77
8.2%
강남서초교육지원청 73
7.8%
동부교육지원청 72
7.7%
성동광진교육지원청 70
7.5%

유치원코드
Text

UNIQUE 

Distinct938
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T22:52:06.896910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters33768
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

Unique938 ?
Unique (%)100.0%

Sample

1st row1ecec08c-f026-b044-e053-0a32095ab044
2nd row1ecec08c-f490-b044-e053-0a32095ab044
3rd row1ecec08c-f550-b044-e053-0a32095ab044
4th row1ecec08c-f736-b044-e053-0a32095ab044
5th row1ecec08c-f910-b044-e053-0a32095ab044
ValueCountFrequency (%)
1ecec08c-f026-b044-e053-0a32095ab044 1
 
0.1%
1ecec08c-f885-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-013f-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-0336-b044-e053-0a32095ab044 1
 
0.1%
1ecec08c-fbfc-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-0568-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-056a-b044-e053-0a32095ab044 1
 
0.1%
1ecec08d-0120-b044-e053-0a32095ab044 1
 
0.1%
1ecec08c-f5de-b044-e053-0a32095ab044 1
 
0.1%
1ecec08c-f649-b044-e053-0a32095ab044 1
 
0.1%
Other values (928) 928
98.9%
2024-03-13T22:52:07.274168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5590
16.6%
- 3752
11.1%
4 3728
11.0%
e 2928
8.7%
c 2459
7.3%
a 2042
 
6.0%
5 2001
 
5.9%
3 1999
 
5.9%
b 1995
 
5.9%
8 1254
 
3.7%
Other values (7) 6020
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18978
56.2%
Lowercase Letter 11038
32.7%
Dash Punctuation 3752
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5590
29.5%
4 3728
19.6%
5 2001
 
10.5%
3 1999
 
10.5%
8 1254
 
6.6%
1 1240
 
6.5%
9 1198
 
6.3%
2 1186
 
6.2%
6 391
 
2.1%
7 391
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
e 2928
26.5%
c 2459
22.3%
a 2042
18.5%
b 1995
18.1%
d 830
 
7.5%
f 784
 
7.1%
Dash Punctuation
ValueCountFrequency (%)
- 3752
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22730
67.3%
Latin 11038
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5590
24.6%
- 3752
16.5%
4 3728
16.4%
5 2001
 
8.8%
3 1999
 
8.8%
8 1254
 
5.5%
1 1240
 
5.5%
9 1198
 
5.3%
2 1186
 
5.2%
6 391
 
1.7%
Latin
ValueCountFrequency (%)
e 2928
26.5%
c 2459
22.3%
a 2042
18.5%
b 1995
18.1%
d 830
 
7.5%
f 784
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5590
16.6%
- 3752
11.1%
4 3728
11.0%
e 2928
8.7%
c 2459
7.3%
a 2042
 
6.0%
5 2001
 
5.9%
3 1999
 
5.9%
b 1995
 
5.9%
8 1254
 
3.7%
Other values (7) 6020
17.8%

유치원명
Text

Distinct842
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T22:52:07.615609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length7.6812367
Min length4

Characters and Unicode

Total characters7205
Distinct characters313
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique771 ?
Unique (%)82.2%

Sample

1st row옥인유치원
2nd row한아름유치원
3rd row서울혜화초등학교병설유치원
4th row배화여자대학교 부속 배화유치원
5th row상명사대부속유치원
ValueCountFrequency (%)
사랑유치원 5
 
0.5%
예일유치원 5
 
0.5%
하나유치원 4
 
0.4%
새싹유치원 4
 
0.4%
예원유치원 4
 
0.4%
한가람유치원 3
 
0.3%
벧엘유치원 3
 
0.3%
성심유치원 3
 
0.3%
서울유치원 3
 
0.3%
돌샘유치원 3
 
0.3%
Other values (836) 905
96.1%
2024-03-13T22:52:08.104486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 974
13.5%
유 951
 
13.2%
치 939
 
13.0%
서 326
 
4.5%
울 316
 
4.4%
학 271
 
3.8%
교 265
 
3.7%
등 260
 
3.6%
설 254
 
3.5%
초 254
 
3.5%
Other values (303) 2395
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7201
99.9%
Space Separator 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 974
13.5%
유 951
 
13.2%
치 939
 
13.0%
서 326
 
4.5%
울 316
 
4.4%
학 271
 
3.8%
교 265
 
3.7%
등 260
 
3.6%
설 254
 
3.5%
초 254
 
3.5%
Other values (302) 2391
33.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7201
99.9%
Common 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 974
13.5%
유 951
 
13.2%
치 939
 
13.0%
서 326
 
4.5%
울 316
 
4.4%
학 271
 
3.8%
교 265
 
3.7%
등 260
 
3.6%
설 254
 
3.5%
초 254
 
3.5%
Other values (302) 2391
33.2%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7201
99.9%
ASCII 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 974
13.5%
유 951
 
13.2%
치 939
 
13.0%
서 326
 
4.5%
울 316
 
4.4%
학 271
 
3.8%
교 265
 
3.7%
등 260
 
3.6%
설 254
 
3.5%
초 254
 
3.5%
Other values (302) 2391
33.2%
ASCII
ValueCountFrequency (%)
4
100.0%

설립유형
Categorical

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
사립(사인)
498 
공립(병설)
251 
사립(법인)
140 
공립(단설)
 
49

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 row사립(법인)
5th row사립(법인)

Common Values

ValueCountFrequency (%)
사립(사인) 498
53.1%
공립(병설) 251
26.8%
사립(법인) 140
 
14.9%
공립(단설) 49
 
5.2%

Length

2024-03-13T22:52:08.245095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:52:08.365563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립(사인 498
53.1%
공립(병설 251
26.8%
사립(법인 140
 
14.9%
공립(단설 49
 
5.2%

교실수
Categorical

Distinct20
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
4개
166 
3개
153 
5개
145 
6개
136 
7개
96 
Other values (15)
242 

Length

Max length3
Median length2
Mean length2.0799574
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row3개
2nd row3개
3rd row2개
4th row3개
5th row0개

Common Values

ValueCountFrequency (%)
4개 166
17.7%
3개 153
16.3%
5개 145
15.5%
6개 136
14.5%
7개 96
10.2%
8개 66
 
7.0%
9개 53
 
5.7%
2개 38
 
4.1%
10개 20
 
2.1%
11개 18
 
1.9%
Other values (10) 47
 
5.0%

Length

2024-03-13T22:52:08.532743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4개 166
17.7%
3개 153
16.3%
5개 145
15.5%
6개 136
14.5%
7개 96
10.2%
8개 66
 
7.0%
9개 53
 
5.7%
2개 38
 
4.1%
10개 20
 
2.1%
11개 18
 
1.9%
Other values (10) 47
 
5.0%

교실면적
Text

Distinct470
Distinct (%)50.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T22:52:08.926543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.9968017
Min length1

Characters and Unicode

Total characters3749
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

Unique260 ?
Unique (%)27.7%

Sample

1st row269㎡
2nd row132㎡
3rd row198㎡
4th row225㎡
5th row㎡
ValueCountFrequency (%)
198㎡ 23
 
2.5%
396㎡ 19
 
2.0%
264㎡ 18
 
1.9%
330㎡ 17
 
1.8%
270㎡ 12
 
1.3%
202㎡ 9
 
1.0%
203㎡ 7
 
0.7%
260㎡ 7
 
0.7%
240㎡ 6
 
0.6%
361㎡ 6
 
0.6%
Other values (460) 814
86.8%
2024-03-13T22:52:09.526576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 938
25.0%
2 426
11.4%
3 413
11.0%
4 335
 
8.9%
1 309
 
8.2%
5 276
 
7.4%
0 255
 
6.8%
6 247
 
6.6%
8 202
 
5.4%
9 176
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2811
75.0%
Other Symbol 938
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 426
15.2%
3 413
14.7%
4 335
11.9%
1 309
11.0%
5 276
9.8%
0 255
9.1%
6 247
8.8%
8 202
7.2%
9 176
6.3%
7 172
6.1%
Other Symbol
ValueCountFrequency (%)
㎡ 938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3749
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 938
25.0%
2 426
11.4%
3 413
11.0%
4 335
 
8.9%
1 309
 
8.2%
5 276
 
7.4%
0 255
 
6.8%
6 247
 
6.6%
8 202
 
5.4%
9 176
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2811
75.0%
CJK Compat 938
 
25.0%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 938
100.0%
ASCII
ValueCountFrequency (%)
2 426
15.2%
3 413
14.7%
4 335
11.9%
1 309
11.0%
5 276
9.8%
0 255
9.1%
6 247
8.8%
8 202
7.2%
9 176
6.3%
7 172
6.1%

체육장
Text

Distinct228
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T22:52:09.985664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.2526652
Min length1

Characters and Unicode

Total characters2113
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

Unique147 ?
Unique (%)15.7%

Sample

1st row㎡
2nd row㎡
3rd row66㎡
4th row㎡
5th row110㎡
ValueCountFrequency (%)
㎡ 455
48.5%
0㎡ 44
 
4.7%
66㎡ 39
 
4.2%
90㎡ 10
 
1.1%
68㎡ 9
 
1.0%
67㎡ 8
 
0.9%
99㎡ 8
 
0.9%
72㎡ 8
 
0.9%
135㎡ 8
 
0.9%
110㎡ 7
 
0.7%
Other values (218) 342
36.5%
2024-03-13T22:52:10.563175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 938
44.4%
1 196
 
9.3%
6 173
 
8.2%
0 165
 
7.8%
2 149
 
7.1%
7 98
 
4.6%
3 87
 
4.1%
9 82
 
3.9%
8 82
 
3.9%
4 75
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1175
55.6%
Other Symbol 938
44.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 196
16.7%
6 173
14.7%
0 165
14.0%
2 149
12.7%
7 98
8.3%
3 87
7.4%
9 82
7.0%
8 82
7.0%
4 75
 
6.4%
5 68
 
5.8%
Other Symbol
ValueCountFrequency (%)
㎡ 938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2113
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 938
44.4%
1 196
 
9.3%
6 173
 
8.2%
0 165
 
7.8%
2 149
 
7.1%
7 98
 
4.6%
3 87
 
4.1%
9 82
 
3.9%
8 82
 
3.9%
4 75
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1175
55.6%
CJK Compat 938
44.4%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 938
100.0%
ASCII
ValueCountFrequency (%)
1 196
16.7%
6 173
14.7%
0 165
14.0%
2 149
12.7%
7 98
8.3%
3 87
7.4%
9 82
7.0%
8 82
7.0%
4 75
 
6.4%
5 68
 
5.8%

보건/위생공간
Text

Distinct160
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T22:52:10.958409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9189765
Min length2

Characters and Unicode

Total characters2738
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

Unique52 ?
Unique (%)5.5%

Sample

1st row43㎡
2nd row24㎡
3rd row66㎡
4th row10㎡
5th row5㎡
ValueCountFrequency (%)
0㎡ 144
 
15.4%
40㎡ 30
 
3.2%
33㎡ 28
 
3.0%
20㎡ 27
 
2.9%
30㎡ 25
 
2.7%
66㎡ 24
 
2.6%
45㎡ 21
 
2.2%
50㎡ 18
 
1.9%
60㎡ 17
 
1.8%
10㎡ 17
 
1.8%
Other values (150) 587
62.6%
2024-03-13T22:52:11.483539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 938
34.3%
0 351
 
12.8%
1 233
 
8.5%
3 231
 
8.4%
4 199
 
7.3%
2 191
 
7.0%
6 160
 
5.8%
5 137
 
5.0%
7 101
 
3.7%
8 101
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1800
65.7%
Other Symbol 938
34.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 351
19.5%
1 233
12.9%
3 231
12.8%
4 199
11.1%
2 191
10.6%
6 160
8.9%
5 137
 
7.6%
7 101
 
5.6%
8 101
 
5.6%
9 96
 
5.3%
Other Symbol
ValueCountFrequency (%)
㎡ 938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2738
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 938
34.3%
0 351
 
12.8%
1 233
 
8.5%
3 231
 
8.4%
4 199
 
7.3%
2 191
 
7.0%
6 160
 
5.8%
5 137
 
5.0%
7 101
 
3.7%
8 101
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1800
65.7%
CJK Compat 938
34.3%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 938
100.0%
ASCII
ValueCountFrequency (%)
0 351
19.5%
1 233
12.9%
3 231
12.8%
4 199
11.1%
2 191
10.6%
6 160
8.9%
5 137
 
7.6%
7 101
 
5.6%
8 101
 
5.6%
9 96
 
5.3%

조리실/급식공간
Text

Distinct389
Distinct (%)41.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T22:52:11.901341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.3390192
Min length2

Characters and Unicode

Total characters3132
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

Unique227 ?
Unique (%)24.2%

Sample

1st row98㎡
2nd row116㎡
3rd row0㎡
4th row7㎡
5th row88㎡
ValueCountFrequency (%)
0㎡ 132
 
14.1%
33㎡ 17
 
1.8%
66㎡ 15
 
1.6%
20㎡ 14
 
1.5%
132㎡ 13
 
1.4%
10㎡ 12
 
1.3%
16㎡ 12
 
1.3%
30㎡ 10
 
1.1%
36㎡ 9
 
1.0%
25㎡ 8
 
0.9%
Other values (379) 696
74.2%
2024-03-13T22:52:12.490868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 938
29.9%
1 364
 
11.6%
0 326
 
10.4%
3 285
 
9.1%
2 283
 
9.0%
6 182
 
5.8%
4 178
 
5.7%
5 162
 
5.2%
8 142
 
4.5%
9 137
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2194
70.1%
Other Symbol 938
29.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 364
16.6%
0 326
14.9%
3 285
13.0%
2 283
12.9%
6 182
8.3%
4 178
8.1%
5 162
7.4%
8 142
 
6.5%
9 137
 
6.2%
7 135
 
6.2%
Other Symbol
ValueCountFrequency (%)
㎡ 938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 938
29.9%
1 364
 
11.6%
0 326
 
10.4%
3 285
 
9.1%
2 283
 
9.0%
6 182
 
5.8%
4 178
 
5.7%
5 162
 
5.2%
8 142
 
4.5%
9 137
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2194
70.1%
CJK Compat 938
29.9%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 938
100.0%
ASCII
ValueCountFrequency (%)
1 364
16.6%
0 326
14.9%
3 285
13.0%
2 283
12.9%
6 182
8.3%
4 178
8.1%
5 162
7.4%
8 142
 
6.5%
9 137
 
6.2%
7 135
 
6.2%

기타공간
Text

Distinct219
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T22:52:12.980168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.0458422
Min length2

Characters and Unicode

Total characters2857
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

Unique114 ?
Unique (%)12.2%

Sample

1st row13㎡
2nd row13㎡
3rd row378㎡
4th row10㎡
5th row225㎡
ValueCountFrequency (%)
0㎡ 94
 
10.0%
10㎡ 46
 
4.9%
20㎡ 38
 
4.1%
33㎡ 35
 
3.7%
15㎡ 33
 
3.5%
12㎡ 22
 
2.3%
16㎡ 22
 
2.3%
22㎡ 22
 
2.3%
14㎡ 21
 
2.2%
9㎡ 19
 
2.0%
Other values (209) 586
62.5%
2024-03-13T22:52:13.566507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 938
32.8%
1 393
13.8%
2 288
 
10.1%
0 275
 
9.6%
3 249
 
8.7%
5 161
 
5.6%
4 138
 
4.8%
6 122
 
4.3%
8 103
 
3.6%
9 97
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1919
67.2%
Other Symbol 938
32.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 393
20.5%
2 288
15.0%
0 275
14.3%
3 249
13.0%
5 161
8.4%
4 138
 
7.2%
6 122
 
6.4%
8 103
 
5.4%
9 97
 
5.1%
7 93
 
4.8%
Other Symbol
ValueCountFrequency (%)
㎡ 938
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2857
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
㎡ 938
32.8%
1 393
13.8%
2 288
 
10.1%
0 275
 
9.6%
3 249
 
8.7%
5 161
 
5.6%
4 138
 
4.8%
6 122
 
4.3%
8 103
 
3.6%
9 97
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1919
67.2%
CJK Compat 938
32.8%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 938
100.0%
ASCII
ValueCountFrequency (%)
1 393
20.5%
2 288
15.0%
0 275
14.3%
3 249
13.0%
5 161
8.4%
4 138
 
7.2%
6 122
 
6.4%
8 103
 
5.4%
9 97
 
5.1%
7 93
 
4.8%

공시차수
Real number (ℝ)

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20223.857
Minimum20181
Maximum20231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.4 KiB
2024-03-13T22:52:13.740054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20181
5-th percentile20181
Q120231
median20231
Q320231
95-th percentile20231
Maximum20231
Range50
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.452715
Coefficient of variation (CV)0.00076408347
Kurtosis2.050769
Mean20223.857
Median Absolute Deviation (MAD)0
Skewness-1.9192908
Sum18969978
Variance238.7864
MonotonicityNot monotonic
2024-03-13T22:52:13.878451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20231 750
80.0%
20181 57
 
6.1%
20191 56
 
6.0%
20201 31
 
3.3%
20211 24
 
2.6%
20221 20
 
2.1%
ValueCountFrequency (%)
20181 57
 
6.1%
20191 56
 
6.0%
20201 31
 
3.3%
20211 24
 
2.6%
20221 20
 
2.1%
20231 750
80.0%
ValueCountFrequency (%)
20231 750
80.0%
20221 20
 
2.1%
20211 24
 
2.6%
20201 31
 
3.3%
20191 56
 
6.0%
20181 57
 
6.1%

주소
Text

Distinct915
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size7.5 KiB
2024-03-13T22:52:14.244832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.765458
Min length15

Characters and Unicode

Total characters17602
Distinct characters255
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

Unique893 ?
Unique (%)95.2%

Sample

1st row서울특별시 종로구 자하문로 69
2nd row서울특별시 종로구 혜화로6가길 34
3rd row서울특별시 종로구 혜화로 32
4th row서울특별시 종로구 필운대로1길 34
5th row서울특별시 종로구 홍지문2길 1
ValueCountFrequency (%)
서울특별시 937
25.0%
노원구 77
 
2.1%
강서구 61
 
1.6%
송파구 60
 
1.6%
성북구 53
 
1.4%
은평구 50
 
1.3%
양천구 48
 
1.3%
강남구 43
 
1.1%
영등포구 42
 
1.1%
관악구 39
 
1.0%
Other values (1123) 2342
62.4%
2024-03-13T22:52:14.731130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2814
16.0%
서 1101
 
6.3%
구 990
 
5.6%
시 950
 
5.4%
로 942
 
5.4%
울 940
 
5.3%
특 937
 
5.3%
별 937
 
5.3%
1 677
 
3.8%
길 604
 
3.4%
Other values (245) 6710
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11416
64.9%
Decimal Number 3271
 
18.6%
Space Separator 2814
 
16.0%
Dash Punctuation 101
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1101
 
9.6%
구 990
 
8.7%
시 950
 
8.3%
로 942
 
8.3%
울 940
 
8.2%
특 937
 
8.2%
별 937
 
8.2%
길 604
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3603
31.6%
Decimal Number
ValueCountFrequency (%)
1 677
20.7%
2 482
14.7%
3 378
11.6%
4 330
10.1%
5 305
9.3%
6 280
8.6%
7 223
 
6.8%
0 209
 
6.4%
8 195
 
6.0%
9 192
 
5.9%
Space Separator
ValueCountFrequency (%)
2814
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11416
64.9%
Common 6186
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1101
 
9.6%
구 990
 
8.7%
시 950
 
8.3%
로 942
 
8.3%
울 940
 
8.2%
특 937
 
8.2%
별 937
 
8.2%
길 604
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3603
31.6%
Common
ValueCountFrequency (%)
2814
45.5%
1 677
 
10.9%
2 482
 
7.8%
3 378
 
6.1%
4 330
 
5.3%
5 305
 
4.9%
6 280
 
4.5%
7 223
 
3.6%
0 209
 
3.4%
8 195
 
3.2%
Other values (2) 293
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11416
64.9%
ASCII 6186
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2814
45.5%
1 677
 
10.9%
2 482
 
7.8%
3 378
 
6.1%
4 330
 
5.3%
5 305
 
4.9%
6 280
 
4.5%
7 223
 
3.6%
0 209
 
3.4%
8 195
 
3.2%
Other values (2) 293
 
4.7%
Hangul
ValueCountFrequency (%)
서 1101
 
9.6%
구 990
 
8.7%
시 950
 
8.3%
로 942
 
8.3%
울 940
 
8.2%
특 937
 
8.2%
별 937
 
8.2%
길 604
 
5.3%
동 231
 
2.0%
강 181
 
1.6%
Other values (233) 3603
31.6%

Interactions

2024-03-13T22:52:05.913134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T22:52:14.846020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육지원청명설립유형교실수공시차수
교육지원청명1.0000.1520.2360.059
설립유형0.1521.0000.5250.205
교실수0.2360.5251.0000.175
공시차수0.0590.2050.1751.000
2024-03-13T22:52:14.953166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립유형교실수교육지원청명
설립유형1.0000.2700.092
교실수0.2701.0000.087
교육지원청명0.0920.0871.000
2024-03-13T22:52:15.064099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공시차수교육지원청명설립유형교실수
공시차수1.0000.0000.2030.072
교육지원청명0.0001.0000.0920.087
설립유형0.2030.0921.0000.270
교실수0.0720.0870.2701.000

Missing values

2024-03-13T22:52:06.054010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:52:06.287864image/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
0서울특별시교육청중부교육지원청1ecec08c-f026-b044-e053-0a32095ab044옥인유치원사립(사인)3개269㎡㎡43㎡98㎡13㎡20231서울특별시 종로구 자하문로 69
1서울특별시교육청중부교육지원청1ecec08c-f490-b044-e053-0a32095ab044한아름유치원사립(사인)3개132㎡㎡24㎡116㎡13㎡20231서울특별시 종로구 혜화로6가길 34
2서울특별시교육청중부교육지원청1ecec08c-f550-b044-e053-0a32095ab044서울혜화초등학교병설유치원공립(병설)2개198㎡66㎡66㎡0㎡378㎡20231서울특별시 종로구 혜화로 32
3서울특별시교육청중부교육지원청1ecec08c-f736-b044-e053-0a32095ab044배화여자대학교 부속 배화유치원사립(법인)3개225㎡㎡10㎡7㎡10㎡20231서울특별시 종로구 필운대로1길 34
4서울특별시교육청중부교육지원청1ecec08c-f910-b044-e053-0a32095ab044상명사대부속유치원사립(법인)0개㎡110㎡5㎡88㎡225㎡20231서울특별시 종로구 홍지문2길 1
5서울특별시교육청중부교육지원청1ecec08c-f912-b044-e053-0a32095ab044서울재동초등학교병설유치원공립(병설)3개203㎡0㎡62㎡154㎡209㎡20231서울특별시 종로구 북촌로4길 7
6서울특별시교육청강동송파교육지원청1ecec08d-0eee-b044-e053-0a32095ab044고덕한울유치원사립(사인)6개325㎡㎡85㎡20㎡55㎡20201서울특별시 강동구 양재대로 1706
7서울특별시교육청중부교육지원청1ecec08c-f933-b044-e053-0a32095ab044청룡유치원사립(사인)2개132㎡㎡42㎡98㎡10㎡20231서울특별시 종로구 동망산길 62
8서울특별시교육청중부교육지원청1ecec08c-fd65-b044-e053-0a32095ab044운현유치원사립(법인)4개282㎡㎡49㎡33㎡18㎡20231서울특별시 종로구 삼일대로 460
9서울특별시교육청중부교육지원청1ecec08c-fe52-b044-e053-0a32095ab044서울창신초등학교병설유치원공립(병설)4개264㎡㎡52㎡99㎡33㎡20231서울특별시 종로구 지봉로 73
교육청명교육지원청명유치원코드유치원명설립유형교실수교실면적체육장보건/위생공간조리실/급식공간기타공간공시차수주소
928서울특별시교육청강동송파교육지원청98918a25-18ce-48c6-8188-620954527bc8서울솔가람유치원분원공립(단설)5개309㎡㎡59㎡281㎡60㎡20231서울특별시 송파구 위례순환로 477
929서울특별시교육청강동송파교육지원청d3a54882-16bb-4eae-9dc2-7a63f3a43215홍익가족유치원사립(사인)5개453㎡㎡35㎡223㎡0㎡20231서울특별시 송파구 삼학사로19길 20
930서울특별시교육청강동송파교육지원청e1def744-a9f2-4422-8301-d3548bd6074c서울위례별유치원공립(단설)17개831㎡117㎡183㎡1455㎡198㎡20231서울특별시 송파구 위례순환로 371
931서울특별시교육청강동송파교육지원청fd8c9e02-86d2-48a2-a655-ca442ef5cde8서울송파초등학교병설유치원공립(병설)3개202㎡135㎡44㎡135㎡34㎡20231서울특별시 송파구 백제고분로 400
932서울특별시교육청강동송파교육지원청1ecec08c-fc1d-b044-e053-0a32095ab044서울강덕초등학교병설유치원공립(병설)6개425㎡㎡70㎡360㎡54㎡20231서울특별시 강동구 동남로82길 94-54
933서울특별시교육청강동송파교육지원청fa8ca68f-3afc-4cf1-9118-70174aec112e서울강솔초등학교병설유치원공립(병설)13개2609㎡274㎡246㎡226㎡1134㎡20191서울특별시 강동구 고덕로97길 80
934서울특별시교육청강동송파교육지원청1ecec08c-fc21-b044-e053-0a32095ab044근화유치원사립(사인)2개196㎡㎡29㎡43㎡0㎡20231서울특별시 강동구 고덕로 240
935서울특별시교육청강동송파교육지원청1ecec08c-fc24-b044-e053-0a32095ab044둔촌유치원사립(사인)3개273㎡㎡0㎡155㎡17㎡20231서울특별시 강동구 풍성로63길 73
936서울특별시교육청강동송파교육지원청1ecec08c-fdba-b044-e053-0a32095ab044강일늘사랑유치원사립(사인)10개1121㎡㎡20㎡263㎡19㎡20231서울특별시 강동구 아리수로98길 62
937서울특별시교육청강동송파교육지원청1ecec08d-01d7-b044-e053-0a32095ab044은새유치원사립(사인)4개245㎡㎡15㎡96㎡8㎡20231서울특별시 강동구 고덕로62길 58