Overview

Dataset statistics

Number of variables6
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory52.1 B

Variable types

Categorical2
Text4

Dataset

Description부산광역시 해운대구 소재 초등학교의 관할교육청, 설립구분(공립,사립), 학교명, 주소, 연락처, 홈페이지에 관한 정보를 제공합니다.
Author부산광역시 해운대구
URLhttps://www.data.go.kr/data/15054733/fileData.do

Alerts

관할교육청 has constant value ""Constant
설립구분 has constant value ""Constant
학교명 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique
홈페이지 has unique valuesUnique

Reproduction

Analysis started2023-12-16 15:15:59.822762
Analysis finished2023-12-16 15:16:02.374809
Duration2.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관할교육청
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
해운대교육지원청
32 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해운대교육지원청 32
100.0%

Length

2023-12-16T15:16:02.863796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:16:03.391881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해운대교육지원청 32
100.0%

설립구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
공립
32 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 32
100.0%

Length

2023-12-16T15:16:03.962339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:16:04.742879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 32
100.0%

학교명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-16T15:16:05.549999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.03125
Min length6

Characters and Unicode

Total characters193
Distinct characters39
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

Unique32 ?
Unique (%)100.0%

Sample

1st row양운초등학교
2nd row해원초등학교
3rd row반안초등학교
4th row운송초등학교
5th row인지초등학교
ValueCountFrequency (%)
양운초등학교 1
 
3.1%
해원초등학교 1
 
3.1%
신재초등학교 1
 
3.1%
송수초등학교 1
 
3.1%
해림초등학교 1
 
3.1%
강동초등학교 1
 
3.1%
송정초등학교 1
 
3.1%
해운대초등학교 1
 
3.1%
해송초등학교 1
 
3.1%
동백초등학교 1
 
3.1%
Other values (22) 22
68.8%
2023-12-16T15:16:07.271340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 32
16.6%
등 32
16.6%
학 32
16.6%
교 32
16.6%
송 7
 
3.6%
해 6
 
3.1%
반 5
 
2.6%
운 5
 
2.6%
동 4
 
2.1%
신 3
 
1.6%
Other values (29) 35
18.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 193
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
초 32
16.6%
등 32
16.6%
학 32
16.6%
교 32
16.6%
송 7
 
3.6%
해 6
 
3.1%
반 5
 
2.6%
운 5
 
2.6%
동 4
 
2.1%
신 3
 
1.6%
Other values (29) 35
18.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 193
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
초 32
16.6%
등 32
16.6%
학 32
16.6%
교 32
16.6%
송 7
 
3.6%
해 6
 
3.1%
반 5
 
2.6%
운 5
 
2.6%
동 4
 
2.1%
신 3
 
1.6%
Other values (29) 35
18.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 193
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 32
16.6%
등 32
16.6%
학 32
16.6%
교 32
16.6%
송 7
 
3.6%
해 6
 
3.1%
반 5
 
2.6%
운 5
 
2.6%
동 4
 
2.1%
신 3
 
1.6%
Other values (29) 35
18.1%

주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-16T15:16:08.386211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length31.625
Min length24

Characters and Unicode

Total characters1012
Distinct characters77
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 대천로67번길 36(좌동,양운초등학교)
2nd row부산광역시 해운대구 마린시티2로 10(우동)
3rd row부산광역시 해운대구 명장로67번길 40-42(반여동,반안초등학교)
4th row부산광역시 해운대구 반송로 839(반송동,운송초등학교)
5th row부산광역시 해운대구 반여로 128(반여동,인지초등학교)
ValueCountFrequency (%)
부산광역시 32
25.0%
해운대구 32
25.0%
좌동순환로 3
 
2.3%
반여로 2
 
1.6%
신반송로 2
 
1.6%
세실로 2
 
1.6%
재반로 2
 
1.6%
42(우동,해림초등학교 1
 
0.8%
좌동순환로357번길 1
 
0.8%
해운대해변로 1
 
0.8%
Other values (50) 50
39.1%
2023-12-16T15:16:09.871436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
9.5%
해 44
 
4.3%
동 44
 
4.3%
운 43
 
4.2%
대 40
 
4.0%
산 35
 
3.5%
부 33
 
3.3%
시 33
 
3.3%
로 32
 
3.2%
( 32
 
3.2%
Other values (67) 580
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 698
69.0%
Decimal Number 120
 
11.9%
Space Separator 96
 
9.5%
Open Punctuation 32
 
3.2%
Close Punctuation 32
 
3.2%
Other Punctuation 29
 
2.9%
Dash Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 44
 
6.3%
동 44
 
6.3%
운 43
 
6.2%
대 40
 
5.7%
산 35
 
5.0%
부 33
 
4.7%
시 33
 
4.7%
로 32
 
4.6%
구 32
 
4.6%
역 32
 
4.6%
Other values (52) 330
47.3%
Decimal Number
ValueCountFrequency (%)
1 24
20.0%
3 17
14.2%
6 14
11.7%
2 14
11.7%
7 12
10.0%
0 12
10.0%
4 12
10.0%
9 6
 
5.0%
8 5
 
4.2%
5 4
 
3.3%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 698
69.0%
Common 314
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 44
 
6.3%
동 44
 
6.3%
운 43
 
6.2%
대 40
 
5.7%
산 35
 
5.0%
부 33
 
4.7%
시 33
 
4.7%
로 32
 
4.6%
구 32
 
4.6%
역 32
 
4.6%
Other values (52) 330
47.3%
Common
ValueCountFrequency (%)
96
30.6%
( 32
 
10.2%
) 32
 
10.2%
, 29
 
9.2%
1 24
 
7.6%
3 17
 
5.4%
6 14
 
4.5%
2 14
 
4.5%
7 12
 
3.8%
0 12
 
3.8%
Other values (5) 32
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 698
69.0%
ASCII 314
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
30.6%
( 32
 
10.2%
) 32
 
10.2%
, 29
 
9.2%
1 24
 
7.6%
3 17
 
5.4%
6 14
 
4.5%
2 14
 
4.5%
7 12
 
3.8%
0 12
 
3.8%
Other values (5) 32
 
10.2%
Hangul
ValueCountFrequency (%)
해 44
 
6.3%
동 44
 
6.3%
운 43
 
6.2%
대 40
 
5.7%
산 35
 
5.0%
부 33
 
4.7%
시 33
 
4.7%
로 32
 
4.6%
구 32
 
4.6%
역 32
 
4.6%
Other values (52) 330
47.3%

연락처
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-16T15:16:10.755791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row051-709-6800
2nd row051-740-9900
3rd row051-521-1627
4th row051-540-5300
5th row051-520-0100
ValueCountFrequency (%)
051-709-6800 1
 
3.1%
051-740-9900 1
 
3.1%
051-780-3800 1
 
3.1%
051-780-2702 1
 
3.1%
051-740-1500 1
 
3.1%
051-740-2410 1
 
3.1%
051-709-6700 1
 
3.1%
051-746-0045 1
 
3.1%
051-731-1789 1
 
3.1%
051-740-2800 1
 
3.1%
Other values (22) 22
68.8%
2023-12-16T15:16:12.293851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 98
25.5%
- 64
16.7%
5 52
13.5%
1 47
12.2%
7 31
 
8.1%
2 21
 
5.5%
4 18
 
4.7%
8 17
 
4.4%
6 13
 
3.4%
3 13
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 98
30.6%
5 52
16.2%
1 47
14.7%
7 31
 
9.7%
2 21
 
6.6%
4 18
 
5.6%
8 17
 
5.3%
6 13
 
4.1%
3 13
 
4.1%
9 10
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 98
25.5%
- 64
16.7%
5 52
13.5%
1 47
12.2%
7 31
 
8.1%
2 21
 
5.5%
4 18
 
4.7%
8 17
 
4.4%
6 13
 
3.4%
3 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 98
25.5%
- 64
16.7%
5 52
13.5%
1 47
12.2%
7 31
 
8.1%
2 21
 
5.5%
4 18
 
4.7%
8 17
 
4.4%
6 13
 
3.4%
3 13
 
3.4%

홈페이지
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-16T15:16:13.038463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.90625
Min length16

Characters and Unicode

Total characters701
Distinct characters24
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowhttp://www.yangun.es.kr/
2nd rowhttp://haewon.es.kr
3rd rowhttp://www.banan.es.kr
4th rowhttp://woonsong.es.kr
5th rowhttp://www.ij.es.kr
ValueCountFrequency (%)
http://www.yangun.es.kr 1
 
3.1%
http://haewon.es.kr 1
 
3.1%
http://www.sinjae.es.kr 1
 
3.1%
http://www.songsu.es.kr 1
 
3.1%
http://www.haerim.es.kr 1
 
3.1%
www.pusangangdong.es.kr 1
 
3.1%
http://www.hudsj.es.kr 1
 
3.1%
http://www.haeundae.es.kr 1
 
3.1%
http://haesong.es.kr 1
 
3.1%
http://www.dongbaek.es.kr 1
 
3.1%
Other values (22) 22
68.8%
2023-12-16T15:16:14.717455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 87
12.4%
w 73
10.4%
/ 66
 
9.4%
t 59
 
8.4%
s 51
 
7.3%
e 45
 
6.4%
n 38
 
5.4%
h 38
 
5.4%
k 35
 
5.0%
r 33
 
4.7%
Other values (14) 176
25.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 518
73.9%
Other Punctuation 182
 
26.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 73
14.1%
t 59
11.4%
s 51
9.8%
e 45
8.7%
n 38
7.3%
h 38
7.3%
k 35
6.8%
r 33
 
6.4%
p 30
 
5.8%
a 29
 
5.6%
Other values (10) 87
16.8%
Other Punctuation
ValueCountFrequency (%)
. 87
47.8%
/ 66
36.3%
: 29
 
15.9%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 518
73.9%
Common 183
 
26.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 73
14.1%
t 59
11.4%
s 51
9.8%
e 45
8.7%
n 38
7.3%
h 38
7.3%
k 35
6.8%
r 33
 
6.4%
p 30
 
5.8%
a 29
 
5.6%
Other values (10) 87
16.8%
Common
ValueCountFrequency (%)
. 87
47.5%
/ 66
36.1%
: 29
 
15.8%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 701
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 87
12.4%
w 73
10.4%
/ 66
 
9.4%
t 59
 
8.4%
s 51
 
7.3%
e 45
 
6.4%
n 38
 
5.4%
h 38
 
5.4%
k 35
 
5.0%
r 33
 
4.7%
Other values (14) 176
25.1%

Correlations

2023-12-16T15:16:15.045998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학교명주소연락처홈페이지
학교명1.0001.0001.0001.000
주소1.0001.0001.0001.000
연락처1.0001.0001.0001.000
홈페이지1.0001.0001.0001.000

Missing values

2023-12-16T15:16:01.037672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:16:02.086231image/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

관할교육청설립구분학교명주소연락처홈페이지
0해운대교육지원청공립양운초등학교부산광역시 해운대구 대천로67번길 36(좌동,양운초등학교)051-709-6800http://www.yangun.es.kr/
1해운대교육지원청공립해원초등학교부산광역시 해운대구 마린시티2로 10(우동)051-740-9900http://haewon.es.kr
2해운대교육지원청공립반안초등학교부산광역시 해운대구 명장로67번길 40-42(반여동,반안초등학교)051-521-1627http://www.banan.es.kr
3해운대교육지원청공립운송초등학교부산광역시 해운대구 반송로 839(반송동,운송초등학교)051-540-5300http://woonsong.es.kr
4해운대교육지원청공립인지초등학교부산광역시 해운대구 반여로 128(반여동,인지초등학교)051-520-0100http://www.ij.es.kr
5해운대교육지원청공립무정초등학교부산광역시 해운대구 반여로 68-11(반여동,무정초등학교)051-520-1310http://www.bsmj.es.kr
6해운대교육지원청공립삼어초등학교부산광역시 해운대구 삼어로91번길 73(반여동,삼어초등학교)051-520-6500http://sameo.es.kr
7해운대교육지원청공립장산초등학교부산광역시 해운대구 선수촌로 68(반여동,장산초등학교)051-523-7959http://www.jangsan.es.kr
8해운대교육지원청공립반석초등학교부산광역시 해운대구 선수촌로207번길 14(반여동,반석초등학교)051-523-8171http://bansuk.es.kr
9해운대교육지원청공립좌동초등학교부산광역시 해운대구 세실로 127(좌동,좌동초등학교)051-701-4734http://chwadong.es.kr
관할교육청설립구분학교명주소연락처홈페이지
22해운대교육지원청공립좌산초등학교부산광역시 해운대구 좌동순환로311번길 7(좌동,좌산초등학교)051-709-1773http://www.jwasan.es.kr/
23해운대교육지원청공립동백초등학교부산광역시 해운대구 좌동순환로357번길 6(중동,동백초등학교)051-740-2800http://www.dongbaek.es.kr
24해운대교육지원청공립해송초등학교부산광역시 해운대구 좌동순환로402번길 32(좌동,해송초등학교)051-731-1789http://haesong.es.kr/
25해운대교육지원청공립해운대초등학교부산광역시 해운대구 중동2로24번길 30(중동,해운대초등학교)051-746-0045http://www.haeundae.es.kr
26해운대교육지원청공립송정초등학교부산광역시 해운대구 해운대로 1164-9(송정동)051-709-6700http://www.hudsj.es.kr/
27해운대교육지원청공립강동초등학교부산광역시 해운대구 해운대로349번길 10(우동,강동초등학교)051-740-2410www.pusangangdong.es.kr/
28해운대교육지원청공립해림초등학교부산광역시 해운대구 해운대로469번길 42(우동,해림초등학교)051-740-1500http://www.haerim.es.kr
29해운대교육지원청공립송수초등학교부산광역시 해운대구 해운대로76번길 35(재송동,송수초등학교)051-780-2702http://www.songsu.es.kr
30해운대교육지원청공립신재초등학교부산광역시 해운대구 해운대로81번길 55(재송동)051-780-3800http://www.sinjae.es.kr
31해운대교육지원청공립해강초등학교부산광역시 해운대구 해운대해변로 73(우동,해강초등학교)051-745-4500www.haegang.es.kr