Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.4 B

Variable types

Text3
DateTime1

Dataset

Description제주도내 학원, 유치원, 학교 등 정보 제공
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056102/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
명칭 has unique valuesUnique
연락처 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:36:54.254552
Analysis finished2023-12-12 18:36:55.131944
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T03:36:55.467255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.3666667
Min length4

Characters and Unicode

Total characters221
Distinct characters113
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

Unique30 ?
Unique (%)100.0%

Sample

1st row마라분교
2nd row제주산업정보대학부속유치원
3rd row하나로해늘어린이집
4th row남국어린이집
5th row챌린저독서실
ValueCountFrequency (%)
마라분교 1
 
3.3%
제주산업정보대학부속유치원 1
 
3.3%
재미있는음악학원 1
 
3.3%
선혜어린이집 1
 
3.3%
한우리독서논술학원 1
 
3.3%
탑댄스스포츠학원 1
 
3.3%
제주어린이집 1
 
3.3%
택견제주도전수관 1
 
3.3%
ei수학교습소 1
 
3.3%
영광체육관본관 1
 
3.3%
Other values (20) 20
66.7%
2023-12-13T03:36:56.329353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 15
 
6.8%
원 12
 
5.4%
어 11
 
5.0%
이 8
 
3.6%
린 8
 
3.6%
집 6
 
2.7%
교 6
 
2.7%
영 5
 
2.3%
스 4
 
1.8%
습 4
 
1.8%
Other values (103) 142
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 216
97.7%
Uppercase Letter 5
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 15
 
6.9%
원 12
 
5.6%
어 11
 
5.1%
이 8
 
3.7%
린 8
 
3.7%
집 6
 
2.8%
교 6
 
2.8%
영 5
 
2.3%
스 4
 
1.9%
습 4
 
1.9%
Other values (98) 137
63.4%
Uppercase Letter
ValueCountFrequency (%)
G 1
20.0%
N 1
20.0%
B 1
20.0%
I 1
20.0%
E 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 216
97.7%
Latin 5
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 15
 
6.9%
원 12
 
5.6%
어 11
 
5.1%
이 8
 
3.7%
린 8
 
3.7%
집 6
 
2.8%
교 6
 
2.8%
영 5
 
2.3%
스 4
 
1.9%
습 4
 
1.9%
Other values (98) 137
63.4%
Latin
ValueCountFrequency (%)
G 1
20.0%
N 1
20.0%
B 1
20.0%
I 1
20.0%
E 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 216
97.7%
ASCII 5
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 15
 
6.9%
원 12
 
5.6%
어 11
 
5.1%
이 8
 
3.7%
린 8
 
3.7%
집 6
 
2.8%
교 6
 
2.8%
영 5
 
2.3%
스 4
 
1.9%
습 4
 
1.9%
Other values (98) 137
63.4%
ASCII
ValueCountFrequency (%)
G 1
20.0%
N 1
20.0%
B 1
20.0%
I 1
20.0%
E 1
20.0%

연락처
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T03:36:56.778813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique30 ?
Unique (%)100.0%

Sample

1st row063-792-8508
2nd row064-702-0012
3rd row064-702-0122
4th row064-702-0222
5th row064-702-0232
ValueCountFrequency (%)
063-792-8508 1
 
3.3%
064-702-0012 1
 
3.3%
064-702-3732 1
 
3.3%
064-702-3645 1
 
3.3%
064-702-3544 1
 
3.3%
064-702-3354 1
 
3.3%
064-702-3226 1
 
3.3%
064-702-2821 1
 
3.3%
064-702-2746 1
 
3.3%
064-702-2516 1
 
3.3%
Other values (20) 20
66.7%
2023-12-13T03:36:57.486768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 80
22.2%
- 60
16.7%
2 54
15.0%
7 38
10.6%
4 37
10.3%
6 35
9.7%
3 19
 
5.3%
1 14
 
3.9%
9 8
 
2.2%
5 8
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
26.7%
2 54
18.0%
7 38
12.7%
4 37
12.3%
6 35
11.7%
3 19
 
6.3%
1 14
 
4.7%
9 8
 
2.7%
5 8
 
2.7%
8 7
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 80
22.2%
- 60
16.7%
2 54
15.0%
7 38
10.6%
4 37
10.3%
6 35
9.7%
3 19
 
5.3%
1 14
 
3.9%
9 8
 
2.2%
5 8
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 80
22.2%
- 60
16.7%
2 54
15.0%
7 38
10.6%
4 37
10.3%
6 35
9.7%
3 19
 
5.3%
1 14
 
3.9%
9 8
 
2.2%
5 8
 
2.2%

도로명주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T03:36:57.933812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length26.2
Min length23

Characters and Unicode

Total characters786
Distinct characters64
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 대정읍 마라로 58
2nd row제주특별자치도 제주시 황새왓길 20 (이도이동)
3rd row제주특별자치도 제주시 연수로5길 26 (일도이동)
4th row제주특별자치도 제주시 중앙로 476 (아라일동)
5th row제주특별자치도 제주시 고마로 56 (일도이동)
ValueCountFrequency (%)
제주특별자치도 30
20.0%
제주시 29
19.3%
일도이동 9
 
6.0%
이도이동 5
 
3.3%
중앙로 4
 
2.7%
도남동 3
 
2.0%
아봉로 2
 
1.3%
삼도일동 2
 
1.3%
서사로 2
 
1.3%
연삼로 2
 
1.3%
Other values (59) 62
41.3%
2023-12-13T03:36:58.614737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
15.3%
제 59
 
7.5%
주 59
 
7.5%
도 51
 
6.5%
동 33
 
4.2%
특 30
 
3.8%
별 30
 
3.8%
자 30
 
3.8%
치 30
 
3.8%
시 30
 
3.8%
Other values (54) 314
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
65.9%
Space Separator 120
 
15.3%
Decimal Number 84
 
10.7%
Open Punctuation 29
 
3.7%
Close Punctuation 29
 
3.7%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 59
11.4%
주 59
11.4%
도 51
 
9.8%
동 33
 
6.4%
특 30
 
5.8%
별 30
 
5.8%
자 30
 
5.8%
치 30
 
5.8%
시 30
 
5.8%
로 27
 
5.2%
Other values (40) 139
26.8%
Decimal Number
ValueCountFrequency (%)
1 18
21.4%
2 12
14.3%
7 10
11.9%
5 9
10.7%
4 9
10.7%
6 8
9.5%
3 6
 
7.1%
0 6
 
7.1%
9 4
 
4.8%
8 2
 
2.4%
Space Separator
ValueCountFrequency (%)
120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
65.9%
Common 268
34.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 59
11.4%
주 59
11.4%
도 51
 
9.8%
동 33
 
6.4%
특 30
 
5.8%
별 30
 
5.8%
자 30
 
5.8%
치 30
 
5.8%
시 30
 
5.8%
로 27
 
5.2%
Other values (40) 139
26.8%
Common
ValueCountFrequency (%)
120
44.8%
( 29
 
10.8%
) 29
 
10.8%
1 18
 
6.7%
2 12
 
4.5%
7 10
 
3.7%
5 9
 
3.4%
4 9
 
3.4%
6 8
 
3.0%
- 6
 
2.2%
Other values (4) 18
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
65.9%
ASCII 268
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
44.8%
( 29
 
10.8%
) 29
 
10.8%
1 18
 
6.7%
2 12
 
4.5%
7 10
 
3.7%
5 9
 
3.4%
4 9
 
3.4%
6 8
 
3.0%
- 6
 
2.2%
Other values (4) 18
 
6.7%
Hangul
ValueCountFrequency (%)
제 59
11.4%
주 59
11.4%
도 51
 
9.8%
동 33
 
6.4%
특 30
 
5.8%
별 30
 
5.8%
자 30
 
5.8%
치 30
 
5.8%
시 30
 
5.8%
로 27
 
5.2%
Other values (40) 139
26.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2015-01-01 00:00:00
Maximum2015-01-01 00:00:00
2023-12-13T03:36:58.858057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:36:59.052861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-13T03:36:59.195592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭연락처도로명주소
명칭1.0001.0001.000
연락처1.0001.0001.000
도로명주소1.0001.0001.000

Missing values

2023-12-13T03:36:54.820418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:36:55.052439image/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

명칭연락처도로명주소데이터기준일자
0마라분교063-792-8508제주특별자치도 서귀포시 대정읍 마라로 582015-01-01
1제주산업정보대학부속유치원064-702-0012제주특별자치도 제주시 황새왓길 20 (이도이동)2015-01-01
2하나로해늘어린이집064-702-0122제주특별자치도 제주시 연수로5길 26 (일도이동)2015-01-01
3남국어린이집064-702-0222제주특별자치도 제주시 중앙로 476 (아라일동)2015-01-01
4챌린저독서실064-702-0232제주특별자치도 제주시 고마로 56 (일도이동)2015-01-01
5청하어린이집064-702-0233제주특별자치도 제주시 구남로7길 27 (이도이동)2015-01-01
6유아체육064-702-0322제주특별자치도 제주시 중앙로 469-1 (아라이동)2015-01-01
7변용식영어클리닉어학원064-702-0509제주특별자치도 제주시 동광로1길 1 (이도일동)2015-01-01
8하얀도화지미술교습소064-702-0773제주특별자치도 제주시 태성로2길 21 (일도이동)2015-01-01
9한국해동검도064-702-0789제주특별자치도 제주시 연삼로 345 (도남동)2015-01-01
명칭연락처도로명주소데이터기준일자
20GNB영어전문학원064-702-2410제주특별자치도 제주시 동광로 107 (일도이동)2015-01-01
21영광체육관본관064-702-2516제주특별자치도 제주시 도남로15길 2 (도남동)2015-01-01
22EI수학교습소064-702-2746제주특별자치도 제주시 고마로16길 9 (일도이동)2015-01-01
23택견제주도전수관064-702-2821제주특별자치도 제주시 월구길 30-1 (오라삼동)2015-01-01
24제주어린이집064-702-3226제주특별자치도 제주시 아봉로 77 (아라이동)2015-01-01
25탑댄스스포츠학원064-702-3354제주특별자치도 제주시 중앙로 246 (이도이동)2015-01-01
26한우리독서논술학원064-702-3544제주특별자치도 제주시 연신로 17 (일도이동)2015-01-01
27선혜어린이집064-702-3645제주특별자치도 제주시 전농로 80-1 (삼도일동)2015-01-01
28재미있는음악학원064-702-3732제주특별자치도 제주시 동화로1길 49-4 (화북일동)2015-01-01
29제주여자고등학교064-702-3762제주특별자치도 제주시 구산로 50 (아라일동)2015-01-01