Overview

Dataset statistics

Number of variables6
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory51.8 B

Variable types

Categorical2
Text4

Dataset

Description제주특별자치도 내 소재하고 있는 각종 교육 관련 기관 데이터로 구분, 기관명, 소재지, 연락처, 홈페이지 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056432/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:20:44.022240
Analysis finished2023-12-11 23:20:44.403186
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct7
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
도서관
13 
교육원/문화원/단체
8 
평생교육원
4 
제주특별자치도
3 
교육청
3 
Other values (2)
4 

Length

Max length10
Median length7
Mean length5.4
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제주특별자치도
2nd row제주특별자치도
3rd row제주특별자치도
4th row교육청
5th row교육청

Common Values

ValueCountFrequency (%)
도서관 13
37.1%
교육원/문화원/단체 8
22.9%
평생교육원 4
 
11.4%
제주특별자치도 3
 
8.6%
교육청 3
 
8.6%
기타교육 2
 
5.7%
평생학습센터 2
 
5.7%

Length

2023-12-12T08:20:44.470468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:20:44.574263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도서관 13
37.1%
교육원/문화원/단체 8
22.9%
평생교육원 4
 
11.4%
제주특별자치도 3
 
8.6%
교육청 3
 
8.6%
기타교육 2
 
5.7%
평생학습센터 2
 
5.7%

기관명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T08:20:44.792840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8.3142857
Min length5

Characters and Unicode

Total characters291
Distinct characters73
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

Unique35 ?
Unique (%)100.0%

Sample

1st row제주특별자치도다모아평생교육정보
2nd row제주특별자치도공공정책연수원
3rd row제주특별자치도설문대여성문화센터
4th row제주특별자치도교육청
5th row제주시교육지원청
ValueCountFrequency (%)
제주특별자치도다모아평생교육정보 1
 
2.9%
제주기적의도서관 1
 
2.9%
서귀포학생문화원도서관 1
 
2.9%
삼매봉도서관 1
 
2.9%
서부도서관 1
 
2.9%
동부도서관 1
 
2.9%
동녘도서관 1
 
2.9%
한수풀도서관 1
 
2.9%
중앙도서관 1
 
2.9%
제남도서관 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T08:20:45.139690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
제 23
 
7.9%
주 19
 
6.5%
도 18
 
6.2%
서 18
 
6.2%
교 16
 
5.5%
원 15
 
5.2%
관 15
 
5.2%
육 13
 
4.5%
학 12
 
4.1%
생 11
 
3.8%
Other values (63) 131
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
98.6%
Uppercase Letter 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 23
 
8.0%
주 19
 
6.6%
도 18
 
6.3%
서 18
 
6.3%
교 16
 
5.6%
원 15
 
5.2%
관 15
 
5.2%
육 13
 
4.5%
학 12
 
4.2%
생 11
 
3.8%
Other values (59) 127
44.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
98.6%
Latin 4
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 23
 
8.0%
주 19
 
6.6%
도 18
 
6.3%
서 18
 
6.3%
교 16
 
5.6%
원 15
 
5.2%
관 15
 
5.2%
육 13
 
4.5%
학 12
 
4.2%
생 11
 
3.8%
Other values (59) 127
44.3%
Latin
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
98.6%
ASCII 4
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
제 23
 
8.0%
주 19
 
6.6%
도 18
 
6.3%
서 18
 
6.3%
교 16
 
5.6%
원 15
 
5.2%
관 15
 
5.2%
육 13
 
4.5%
학 12
 
4.2%
생 11
 
3.8%
Other values (59) 127
44.3%
ASCII
ValueCountFrequency (%)
A 1
25.0%
C 1
25.0%
M 1
25.0%
Y 1
25.0%

소재지
Text

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T08:20:45.379608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.742857
Min length17

Characters and Unicode

Total characters726
Distinct characters71
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

Unique29 ?
Unique (%)82.9%

Sample

1st row제주특별자치도 제주시 서사로 43
2nd row제주특별자치도 제주시 산천단동길 26
3rd row제주특별자치도 제주시 선덕로8길 12
4th row제주특별자치도 제주시 문연로 5
5th row제주특별자치도 제주시 남광로 27
ValueCountFrequency (%)
제주특별자치도 35
24.3%
제주시 26
18.1%
서귀포시 9
 
6.2%
15 4
 
2.8%
43 3
 
2.1%
연삼로 3
 
2.1%
산록북로 2
 
1.4%
사라봉동길 2
 
1.4%
일주동로 2
 
1.4%
4-1 2
 
1.4%
Other values (53) 56
38.9%
2023-12-12T08:20:45.735374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
15.0%
주 64
 
8.8%
제 62
 
8.5%
도 36
 
5.0%
특 35
 
4.8%
별 35
 
4.8%
자 35
 
4.8%
치 35
 
4.8%
시 35
 
4.8%
로 31
 
4.3%
Other values (61) 249
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 507
69.8%
Space Separator 109
 
15.0%
Decimal Number 107
 
14.7%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 64
12.6%
제 62
12.2%
도 36
 
7.1%
특 35
 
6.9%
별 35
 
6.9%
자 35
 
6.9%
치 35
 
6.9%
시 35
 
6.9%
로 31
 
6.1%
길 12
 
2.4%
Other values (49) 127
25.0%
Decimal Number
ValueCountFrequency (%)
1 23
21.5%
2 16
15.0%
3 14
13.1%
4 14
13.1%
5 11
10.3%
8 10
9.3%
0 8
 
7.5%
9 5
 
4.7%
6 3
 
2.8%
7 3
 
2.8%
Space Separator
ValueCountFrequency (%)
109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 507
69.8%
Common 219
30.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 64
12.6%
제 62
12.2%
도 36
 
7.1%
특 35
 
6.9%
별 35
 
6.9%
자 35
 
6.9%
치 35
 
6.9%
시 35
 
6.9%
로 31
 
6.1%
길 12
 
2.4%
Other values (49) 127
25.0%
Common
ValueCountFrequency (%)
109
49.8%
1 23
 
10.5%
2 16
 
7.3%
3 14
 
6.4%
4 14
 
6.4%
5 11
 
5.0%
8 10
 
4.6%
0 8
 
3.7%
9 5
 
2.3%
6 3
 
1.4%
Other values (2) 6
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 507
69.8%
ASCII 219
30.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
49.8%
1 23
 
10.5%
2 16
 
7.3%
3 14
 
6.4%
4 14
 
6.4%
5 11
 
5.0%
8 10
 
4.6%
0 8
 
3.7%
9 5
 
2.3%
6 3
 
1.4%
Other values (2) 6
 
2.7%
Hangul
ValueCountFrequency (%)
주 64
12.6%
제 62
12.2%
도 36
 
7.1%
특 35
 
6.9%
별 35
 
6.9%
자 35
 
6.9%
치 35
 
6.9%
시 35
 
6.9%
로 31
 
6.1%
길 12
 
2.4%
Other values (49) 127
25.0%

연락처
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T08:20:45.966831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters420
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

Unique33 ?
Unique (%)94.3%

Sample

1st row064-744-9852
2nd row064-710-7432
3rd row064-710-4202
4th row064-710-0114
5th row064-754-1221
ValueCountFrequency (%)
064-744-9852 2
 
5.7%
064-710-7432 1
 
2.9%
064-728-8684 1
 
2.9%
064-754-5800 1
 
2.9%
064-741-7575 1
 
2.9%
064-754-0273 1
 
2.9%
064-754-2704 1
 
2.9%
064-710-8666 1
 
2.9%
064-728-1503 1
 
2.9%
064-750-1691 1
 
2.9%
Other values (24) 24
68.6%
2023-12-12T08:20:46.295663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 79
18.8%
- 70
16.7%
4 57
13.6%
6 55
13.1%
7 44
10.5%
1 31
 
7.4%
5 21
 
5.0%
2 20
 
4.8%
3 18
 
4.3%
8 17
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 350
83.3%
Dash Punctuation 70
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 79
22.6%
4 57
16.3%
6 55
15.7%
7 44
12.6%
1 31
 
8.9%
5 21
 
6.0%
2 20
 
5.7%
3 18
 
5.1%
8 17
 
4.9%
9 8
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 79
18.8%
- 70
16.7%
4 57
13.6%
6 55
13.1%
7 44
10.5%
1 31
 
7.4%
5 21
 
5.0%
2 20
 
4.8%
3 18
 
4.3%
8 17
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 79
18.8%
- 70
16.7%
4 57
13.6%
6 55
13.1%
7 44
10.5%
1 31
 
7.4%
5 21
 
5.0%
2 20
 
4.8%
3 18
 
4.3%
8 17
 
4.0%

홈페이지
Text

Distinct27
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T08:20:46.502055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length31.057143
Min length20

Characters and Unicode

Total characters1087
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)74.3%

Sample

1st rowhttps://jiles.or.kr/damoainfo/lecture.htm
2nd rowhttp://www.jeju.go.kr/jejuedu/index.htm
3rd rowhttps://www.jeju.go.kr/swcenter/index.htm
4th rowhttp://www.jje.go.kr/
5th rowhttps://www.jje.go.kr/jjse/index.jje
ValueCountFrequency (%)
https://www.jeju.go.kr/lib/index.htm 9
25.7%
https://jiles.or.kr/damoainfo/lecture.htm 1
 
2.9%
http://www.jba.or.kr 1
 
2.9%
http://www.jejusi.go.kr/qolup/main.do 1
 
2.9%
http://lifelong.jtu.ac.kr 1
 
2.9%
https://life.chu.ac.kr 1
 
2.9%
http://www.jeju.ac.kr/ce/index.htm 1
 
2.9%
https://lifelong.jejunu.ac.kr 1
 
2.9%
https://org.jje.go.kr/lib/index.jje 1
 
2.9%
https://www.hsplib.go.kr 1
 
2.9%
Other values (17) 17
48.6%
2023-12-12T08:20:46.812749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 123
 
11.3%
/ 121
 
11.1%
t 89
 
8.2%
w 84
 
7.7%
e 65
 
6.0%
j 64
 
5.9%
h 52
 
4.8%
i 47
 
4.3%
r 47
 
4.3%
o 40
 
3.7%
Other values (17) 355
32.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 808
74.3%
Other Punctuation 279
 
25.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 89
 
11.0%
w 84
 
10.4%
e 65
 
8.0%
j 64
 
7.9%
h 52
 
6.4%
i 47
 
5.8%
r 47
 
5.8%
o 40
 
5.0%
p 38
 
4.7%
k 35
 
4.3%
Other values (14) 247
30.6%
Other Punctuation
ValueCountFrequency (%)
. 123
44.1%
/ 121
43.4%
: 35
 
12.5%

Most occurring scripts

ValueCountFrequency (%)
Latin 808
74.3%
Common 279
 
25.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 89
 
11.0%
w 84
 
10.4%
e 65
 
8.0%
j 64
 
7.9%
h 52
 
6.4%
i 47
 
5.8%
r 47
 
5.8%
o 40
 
5.0%
p 38
 
4.7%
k 35
 
4.3%
Other values (14) 247
30.6%
Common
ValueCountFrequency (%)
. 123
44.1%
/ 121
43.4%
: 35
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1087
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 123
 
11.3%
/ 121
 
11.1%
t 89
 
8.2%
w 84
 
7.7%
e 65
 
6.0%
j 64
 
5.9%
h 52
 
4.8%
i 47
 
4.3%
r 47
 
4.3%
o 40
 
3.7%
Other values (17) 355
32.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-10-23
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-23
2nd row2023-10-23
3rd row2023-10-23
4th row2023-10-23
5th row2023-10-23

Common Values

ValueCountFrequency (%)
2023-10-23 35
100.0%

Length

2023-12-12T08:20:46.929780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:20:47.016490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-23 35
100.0%

Correlations

2023-12-12T08:20:47.069918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관명소재지연락처홈페이지
구분1.0001.0000.8770.8631.000
기관명1.0001.0001.0001.0001.000
소재지0.8771.0001.0001.0000.862
연락처0.8631.0001.0001.0000.952
홈페이지1.0001.0000.8620.9521.000

Missing values

2023-12-12T08:20:44.282832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:20:44.367852image/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

구분기관명소재지연락처홈페이지데이터기준일자
0제주특별자치도제주특별자치도다모아평생교육정보제주특별자치도 제주시 서사로 43064-744-9852https://jiles.or.kr/damoainfo/lecture.htm2023-10-23
1제주특별자치도제주특별자치도공공정책연수원제주특별자치도 제주시 산천단동길 26064-710-7432http://www.jeju.go.kr/jejuedu/index.htm2023-10-23
2제주특별자치도제주특별자치도설문대여성문화센터제주특별자치도 제주시 선덕로8길 12064-710-4202https://www.jeju.go.kr/swcenter/index.htm2023-10-23
3교육청제주특별자치도교육청제주특별자치도 제주시 문연로 5064-710-0114http://www.jje.go.kr/2023-10-23
4교육청제주시교육지원청제주특별자치도 제주시 남광로 27064-754-1221https://www.jje.go.kr/jjse/index.jje2023-10-23
5교육청서귀포시교육지원청제주특별자치도 서귀포시 토평로 43064-730-8100https://www.jje.go.kr/jse/index.jje2023-10-23
6교육원/문화원/단체제주평생교육장학진흥원제주특별자치도 제주시 서사로 43064-744-9852https://jiles.or.kr/index.htm2023-10-23
7교육원/문화원/단체제주교육과학연구원제주특별자치도 제주시 산록북로 421064-710-0800http://www.cisec.or.kr/2023-10-23
8교육원/문화원/단체제주국제교육정보원제주특별자치도 제주시 전농로 88064-766-3300https://www.jiei.go.kr/index.jieis2023-10-23
9교육원/문화원/단체서귀포학생문화원제주특별자치도 서귀포시 중앙로150번길 4-1064-730-4500http://www.sscc.jeju.kr/2023-10-23
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25도서관한수풀도서관제주특별자치도 제주시 한림읍 한림상로 240-11064-796-0601https://www.hsplib.go.kr/2023-10-23
26도서관제남도서관제주특별자치도 서귀포시 남원읍 남원체육관로 183064-766-4600https://org.jje.go.kr/lib/index.jje2023-10-23
27도서관우당도서관제주특별자치도 제주시 사라봉동길 30064-728-1503https://www.jeju.go.kr/lib/index.htm2023-10-23
28도서관한라도서관제주특별자치도 제주시 오남로 221064-710-8666https://www.jeju.go.kr/lib/index.htm2023-10-23
29평생교육원제주대학교평생교육원제주특별자치도 제주시 제주대학로 102064-754-2704https://lifelong.jejunu.ac.kr/2023-10-23
30평생교육원국제대학교평생교육원제주특별자치도 제주시 516로 2870064-754-0273http://www.jeju.ac.kr/ce/index.htm2023-10-23
31평생교육원제주한라대학평생교육원제주특별자치도 제주시 한라대학로 38064-741-7575https://life.chu.ac.kr/2023-10-23
32평생교육원제주관광대학평생교육원제주특별자치도 제주시 도령로 15064-754-5800http://lifelong.jtu.ac.kr/2023-10-23
33평생학습센터제주시평생학습센터제주특별자치도 제주시 사라봉동길 15064-728-8684http://www.jejusi.go.kr/qolup/main.do2023-10-23
34평생학습센터서귀포평생학습센터제주특별자치도 서귀포시 서문로29번길 10064-760-3871https://edu.seogwipo.go.kr/index.htm2023-10-23