Overview

Dataset statistics

Number of variables6
Number of observations188
Missing cells3
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.9 KiB
Average record size in memory48.7 B

Variable types

Categorical2
Text3
DateTime1

Dataset

Description제주특별자치도 서귀포시 관내에 위치한 평생학습기관 현황에 대한 데이터로 지역, 기관명, 분류, 연락처 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/3082460/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 3 (1.6%) missing valuesMissing
기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:09:24.534031
Analysis finished2023-12-12 13:09:25.091027
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct6
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
서귀포시
107 
남원읍
22 
대정읍
18 
안덕면
16 
성산읍
15 

Length

Max length4
Median length4
Mean length3.5691489
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서귀포시 107
56.9%
남원읍 22
 
11.7%
대정읍 18
 
9.6%
안덕면 16
 
8.5%
성산읍 15
 
8.0%
표선면 10
 
5.3%

Length

2023-12-12T22:09:25.173801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:09:25.310570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서귀포시 107
56.9%
남원읍 22
 
11.7%
대정읍 18
 
9.6%
안덕면 16
 
8.5%
성산읍 15
 
8.0%
표선면 10
 
5.3%

기관명
Text

UNIQUE 

Distinct188
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T22:09:25.570197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length21
Mean length9.7180851
Min length4

Characters and Unicode

Total characters1827
Distinct characters229
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)100.0%

Sample

1st row가파리새마을작은도서관
2nd row남제주요양원
3rd row대정읍주민자치센터
4th row대정청소년수련관
5th row무릉문화의집
ValueCountFrequency (%)
서귀포시 7
 
3.2%
주민자치센터 3
 
1.4%
제주국제교육정보원 2
 
0.9%
어울림터 2
 
0.9%
평생교육 1
 
0.5%
토평동청소년문화의집 1
 
0.5%
중문동문화의집 1
 
0.5%
중문동주민자치센터 1
 
0.5%
서귀포점 1
 
0.5%
아카데미 1
 
0.5%
Other values (198) 198
90.8%
2023-12-12T22:09:25.957594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
문 89
 
4.9%
서 80
 
4.4%
마 59
 
3.2%
을 58
 
3.2%
새 57
 
3.1%
귀 50
 
2.7%
고 49
 
2.7%
포 48
 
2.6%
관 41
 
2.2%
화 39
 
2.1%
Other values (219) 1257
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1735
95.0%
Space Separator 30
 
1.6%
Decimal Number 28
 
1.5%
Close Punctuation 12
 
0.7%
Uppercase Letter 10
 
0.5%
Open Punctuation 9
 
0.5%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 89
 
5.1%
서 80
 
4.6%
마 59
 
3.4%
을 58
 
3.3%
새 57
 
3.3%
귀 50
 
2.9%
고 49
 
2.8%
포 48
 
2.8%
관 41
 
2.4%
화 39
 
2.2%
Other values (202) 1165
67.1%
Uppercase Letter
ValueCountFrequency (%)
C 4
40.0%
J 2
20.0%
E 1
 
10.0%
Y 1
 
10.0%
A 1
 
10.0%
W 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 11
39.3%
2 8
28.6%
3 6
21.4%
9 2
 
7.1%
6 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1735
95.0%
Common 82
 
4.5%
Latin 10
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 89
 
5.1%
서 80
 
4.6%
마 59
 
3.4%
을 58
 
3.3%
새 57
 
3.3%
귀 50
 
2.9%
고 49
 
2.8%
포 48
 
2.8%
관 41
 
2.4%
화 39
 
2.2%
Other values (202) 1165
67.1%
Common
ValueCountFrequency (%)
30
36.6%
) 12
 
14.6%
1 11
 
13.4%
( 9
 
11.0%
2 8
 
9.8%
3 6
 
7.3%
9 2
 
2.4%
& 1
 
1.2%
6 1
 
1.2%
- 1
 
1.2%
Latin
ValueCountFrequency (%)
C 4
40.0%
J 2
20.0%
E 1
 
10.0%
Y 1
 
10.0%
A 1
 
10.0%
W 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1735
95.0%
ASCII 92
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
문 89
 
5.1%
서 80
 
4.6%
마 59
 
3.4%
을 58
 
3.3%
새 57
 
3.3%
귀 50
 
2.9%
고 49
 
2.8%
포 48
 
2.8%
관 41
 
2.4%
화 39
 
2.2%
Other values (202) 1165
67.1%
ASCII
ValueCountFrequency (%)
30
32.6%
) 12
 
13.0%
1 11
 
12.0%
( 9
 
9.8%
2 8
 
8.7%
3 6
 
6.5%
C 4
 
4.3%
9 2
 
2.2%
J 2
 
2.2%
& 1
 
1.1%
Other values (7) 7
 
7.6%

기관유형
Categorical

Distinct23
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
공공도서관
70 
주민자치센터
19 
청소년 시설
16 
그 외 관련 시설 및 기관
14 
지역문화복지시설
12 
Other values (18)
57 

Length

Max length15
Median length14
Mean length7.6382979
Min length5

Unique

Unique6 ?
Unique (%)3.2%

Sample

1st row공공도서관
2nd row비영리사(재)단법인
3rd row주민자치센터
4th row청소년 시설
5th row지역문화복지시설

Common Values

ValueCountFrequency (%)
공공도서관 70
37.2%
주민자치센터 19
 
10.1%
청소년 시설 16
 
8.5%
그 외 관련 시설 및 기관 14
 
7.4%
지역문화복지시설 12
 
6.4%
자치단체(광역ㆍ기초) 11
 
5.9%
노인여가복지시설 8
 
4.3%
비영리사(재)단법인 6
 
3.2%
직업능력개발훈련시설 5
 
2.7%
시ㆍ군ㆍ구 평생학습관 4
 
2.1%
Other values (13) 23
 
12.2%

Length

2023-12-12T22:09:26.117193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공공도서관 70
23.3%
시설 31
10.3%
주민자치센터 19
 
6.3%
및 19
 
6.3%
청소년 17
 
5.6%
기관 16
 
5.3%
그 14
 
4.7%
외 14
 
4.7%
관련 14
 
4.7%
지역문화복지시설 12
 
4.0%
Other values (24) 75
24.9%

도로명 주소
Text

Distinct177
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T22:09:26.437501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length28.010638
Min length16

Characters and Unicode

Total characters5266
Distinct characters170
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)88.3%

Sample

1st row제주특별자치도 서귀포시 대정읍 가파로67번길 12-1, 가파리마을회관
2nd row제주특별자치도 서귀포시 대정읍 대한로88번길 78 남제주요양원
3rd row제주특별자치도 서귀포시 대정읍 하모중앙로 20
4th row제주특별자치도 서귀포시 대정읍 동일하모로149번길 21-8
5th row제주 서귀포시 서삼중로 128
ValueCountFrequency (%)
서귀포시 188
19.3%
제주특별자치도 174
 
17.9%
서귀동 24
 
2.5%
동홍동 22
 
2.3%
남원읍 22
 
2.3%
대정읍 17
 
1.7%
안덕면 16
 
1.6%
성산읍 15
 
1.5%
제주 14
 
1.4%
서홍동 12
 
1.2%
Other values (284) 469
48.2%
2023-12-12T22:09:26.956062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
785
 
14.9%
서 255
 
4.8%
귀 215
 
4.1%
주 207
 
3.9%
제 194
 
3.7%
포 193
 
3.7%
시 193
 
3.7%
로 187
 
3.6%
도 181
 
3.4%
치 176
 
3.3%
Other values (160) 2680
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3577
67.9%
Space Separator 785
 
14.9%
Decimal Number 609
 
11.6%
Close Punctuation 124
 
2.4%
Open Punctuation 123
 
2.3%
Dash Punctuation 37
 
0.7%
Other Punctuation 9
 
0.2%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 255
 
7.1%
귀 215
 
6.0%
주 207
 
5.8%
제 194
 
5.4%
포 193
 
5.4%
시 193
 
5.4%
로 187
 
5.2%
도 181
 
5.1%
치 176
 
4.9%
자 175
 
4.9%
Other values (144) 1601
44.8%
Decimal Number
ValueCountFrequency (%)
1 143
23.5%
2 81
13.3%
4 61
10.0%
3 59
9.7%
5 56
 
9.2%
7 47
 
7.7%
0 44
 
7.2%
9 44
 
7.2%
6 38
 
6.2%
8 36
 
5.9%
Space Separator
ValueCountFrequency (%)
785
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3577
67.9%
Common 1687
32.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 255
 
7.1%
귀 215
 
6.0%
주 207
 
5.8%
제 194
 
5.4%
포 193
 
5.4%
시 193
 
5.4%
로 187
 
5.2%
도 181
 
5.1%
치 176
 
4.9%
자 175
 
4.9%
Other values (144) 1601
44.8%
Common
ValueCountFrequency (%)
785
46.5%
1 143
 
8.5%
) 124
 
7.4%
( 123
 
7.3%
2 81
 
4.8%
4 61
 
3.6%
3 59
 
3.5%
5 56
 
3.3%
7 47
 
2.8%
0 44
 
2.6%
Other values (5) 164
 
9.7%
Latin
ValueCountFrequency (%)
I 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3577
67.9%
ASCII 1689
32.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
785
46.5%
1 143
 
8.5%
) 124
 
7.3%
( 123
 
7.3%
2 81
 
4.8%
4 61
 
3.6%
3 59
 
3.5%
5 56
 
3.3%
7 47
 
2.8%
0 44
 
2.6%
Other values (6) 166
 
9.8%
Hangul
ValueCountFrequency (%)
서 255
 
7.1%
귀 215
 
6.0%
주 207
 
5.8%
제 194
 
5.4%
포 193
 
5.4%
시 193
 
5.4%
로 187
 
5.2%
도 181
 
5.1%
치 176
 
4.9%
자 175
 
4.9%
Other values (144) 1601
44.8%

연락처
Text

MISSING 

Distinct174
Distinct (%)94.1%
Missing3
Missing (%)1.6%
Memory size1.6 KiB
2023-12-12T22:09:27.271857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.989189
Min length7

Characters and Unicode

Total characters2218
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

Unique163 ?
Unique (%)88.1%

Sample

1st row064-794-6036
2nd row064-794-2232
3rd row064-760-0501
4th row064-760-6421
5th row064-792-2301
ValueCountFrequency (%)
064-733-1586 2
 
1.1%
070-7011-4622 2
 
1.1%
064-739-0363 2
 
1.1%
064-787-5488 2
 
1.1%
064-794-2489 2
 
1.1%
064-732-0295 2
 
1.1%
064-794-3609 2
 
1.1%
064-762-1400 2
 
1.1%
064-783-4227 2
 
1.1%
064-733-1821 2
 
1.1%
Other values (164) 165
89.2%
2023-12-12T22:09:27.736294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 368
16.6%
0 337
15.2%
6 316
14.2%
4 301
13.6%
7 250
11.3%
3 164
7.4%
2 113
 
5.1%
1 108
 
4.9%
8 100
 
4.5%
9 96
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1850
83.4%
Dash Punctuation 368
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
18.2%
6 316
17.1%
4 301
16.3%
7 250
13.5%
3 164
8.9%
2 113
 
6.1%
1 108
 
5.8%
8 100
 
5.4%
9 96
 
5.2%
5 65
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2218
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 368
16.6%
0 337
15.2%
6 316
14.2%
4 301
13.6%
7 250
11.3%
3 164
7.4%
2 113
 
5.1%
1 108
 
4.9%
8 100
 
4.5%
9 96
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 368
16.6%
0 337
15.2%
6 316
14.2%
4 301
13.6%
7 250
11.3%
3 164
7.4%
2 113
 
5.1%
1 108
 
4.9%
8 100
 
4.5%
9 96
 
4.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-08-18 00:00:00
Maximum2023-08-18 00:00:00
2023-12-12T22:09:27.887105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:09:27.996809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T22:09:28.085555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관유형
구분1.0000.000
기관유형0.0001.000
2023-12-12T22:09:28.169340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관유형
구분1.0000.000
기관유형0.0001.000
2023-12-12T22:09:28.249263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관유형
구분1.0000.000
기관유형0.0001.000

Missing values

2023-12-12T22:09:24.886892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:09:25.040974image/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

구분기관명기관유형도로명 주소연락처데이터기준일자
0대정읍가파리새마을작은도서관공공도서관제주특별자치도 서귀포시 대정읍 가파로67번길 12-1, 가파리마을회관064-794-60362023-08-18
1대정읍남제주요양원비영리사(재)단법인제주특별자치도 서귀포시 대정읍 대한로88번길 78 남제주요양원064-794-22322023-08-18
2대정읍대정읍주민자치센터주민자치센터제주특별자치도 서귀포시 대정읍 하모중앙로 20064-760-05012023-08-18
3대정읍대정청소년수련관청소년 시설제주특별자치도 서귀포시 대정읍 동일하모로149번길 21-8064-760-64212023-08-18
4대정읍무릉문화의집지역문화복지시설제주 서귀포시 서삼중로 128064-792-23012023-08-18
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