Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory69.1 B

Variable types

Text2
Categorical5
DateTime1

Dataset

Description제주도에서 사용가능한 제주사랑상품권의 가맹점명,유형,문의처 등 정보 제공
Author제주특별자치도
URLhttps://www.data.go.kr/data/15010347/fileData.do

Alerts

유효기간 has constant value ""Constant
문의처 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
유형 is highly overall correlated with 개설주기High correlation
개설주기 is highly overall correlated with 유형High correlation
가맹점명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:05:00.531672
Analysis finished2023-12-12 12:05:01.067840
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹점명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T21:05:01.264013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.3846154
Min length4

Characters and Unicode

Total characters166
Distinct characters57
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row동문재래시장
2nd row동문수산시장
3rd row서문공설시장
4th row보성시장
5th row제주중앙지하상가
ValueCountFrequency (%)
동문재래시장 1
 
3.8%
동문수산시장 1
 
3.8%
중정로상점가 1
 
3.8%
도남시장 1
 
3.8%
신산시장 1
 
3.8%
칠성로상점가 1
 
3.8%
중앙로상점가 1
 
3.8%
주)동문시장 1
 
3.8%
동문공설시장 1
 
3.8%
표선오일시장 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T21:05:01.727582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
13.3%
21
 
12.7%
12
 
7.2%
10
 
6.0%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
Other values (47) 72
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
98.8%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
13.4%
21
 
12.8%
12
 
7.3%
10
 
6.1%
6
 
3.7%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
Other values (45) 70
42.7%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
98.8%
Common 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
13.4%
21
 
12.8%
12
 
7.3%
10
 
6.1%
6
 
3.7%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
Other values (45) 70
42.7%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
98.8%
ASCII 2
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
22
 
13.4%
21
 
12.8%
12
 
7.3%
10
 
6.1%
6
 
3.7%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
Other values (45) 70
42.7%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

유형
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
상설
16 
오일장
10 

Length

Max length3
Median length2
Mean length2.3846154
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상설 16
61.5%
오일장 10
38.5%

Length

2023-12-12T21:05:01.919214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:02.042842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상설 16
61.5%
오일장 10
38.5%
Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T21:05:02.250168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length23.5
Min length19

Characters and Unicode

Total characters611
Distinct characters57
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

Unique26 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 제주시 이도일동 1436-7
2nd row제주특별자치도 제주시 이도일동 1349-5
3rd row제주특별자치도 제주시 용담일동 135-9
4th row제주특별자치도 제주시 이도일동 1289-5
5th row제주특별자치도 제주시 일도일동 1425-3
ValueCountFrequency (%)
제주특별자치도 26
23.0%
제주시 17
 
15.0%
서귀포시 9
 
8.0%
일도일동 4
 
3.5%
이도일동 3
 
2.7%
하모리 2
 
1.8%
성산읍 2
 
1.8%
대정읍 2
 
1.8%
서귀동 2
 
1.8%
한림읍 2
 
1.8%
Other values (44) 44
38.9%
2023-12-12T21:05:02.684426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
14.2%
43
 
7.0%
43
 
7.0%
37
 
6.1%
1 35
 
5.7%
26
 
4.3%
26
 
4.3%
26
 
4.3%
26
 
4.3%
26
 
4.3%
Other values (47) 236
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 383
62.7%
Decimal Number 120
 
19.6%
Space Separator 87
 
14.2%
Dash Punctuation 21
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
43
11.2%
43
11.2%
37
 
9.7%
26
 
6.8%
26
 
6.8%
26
 
6.8%
26
 
6.8%
26
 
6.8%
18
 
4.7%
14
 
3.7%
Other values (35) 98
25.6%
Decimal Number
ValueCountFrequency (%)
1 35
29.2%
2 14
 
11.7%
4 12
 
10.0%
3 12
 
10.0%
7 10
 
8.3%
9 8
 
6.7%
8 8
 
6.7%
5 7
 
5.8%
6 7
 
5.8%
0 7
 
5.8%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 383
62.7%
Common 228
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
43
11.2%
43
11.2%
37
 
9.7%
26
 
6.8%
26
 
6.8%
26
 
6.8%
26
 
6.8%
26
 
6.8%
18
 
4.7%
14
 
3.7%
Other values (35) 98
25.6%
Common
ValueCountFrequency (%)
87
38.2%
1 35
15.4%
- 21
 
9.2%
2 14
 
6.1%
4 12
 
5.3%
3 12
 
5.3%
7 10
 
4.4%
9 8
 
3.5%
8 8
 
3.5%
5 7
 
3.1%
Other values (2) 14
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 383
62.7%
ASCII 228
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
38.2%
1 35
15.4%
- 21
 
9.2%
2 14
 
6.1%
4 12
 
5.3%
3 12
 
5.3%
7 10
 
4.4%
9 8
 
3.5%
8 8
 
3.5%
5 7
 
3.1%
Other values (2) 14
 
6.1%
Hangul
ValueCountFrequency (%)
43
11.2%
43
11.2%
37
 
9.7%
26
 
6.8%
26
 
6.8%
26
 
6.8%
26
 
6.8%
26
 
6.8%
18
 
4.7%
14
 
3.7%
Other values (35) 98
25.6%

개설주기
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
매일
16 
4일+9일
1일+6일
2일+7일
5일+10일
 
1

Length

Max length6
Median length2
Mean length3.1923077
Min length2

Unique

Unique2 ?
Unique (%)7.7%

Sample

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

Common Values

ValueCountFrequency (%)
매일 16
61.5%
4일+9일 3
 
11.5%
1일+6일 3
 
11.5%
2일+7일 2
 
7.7%
5일+10일 1
 
3.8%
3일+8일 1
 
3.8%

Length

2023-12-12T21:05:02.851086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:02.990926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매일 16
61.5%
4일+9일 3
 
11.5%
1일+6일 3
 
11.5%
2일+7일 2
 
7.7%
5일+10일 1
 
3.8%
3일+8일 1
 
3.8%

유효기간
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
발행일로부터 5년
26 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발행일로부터 5년
2nd row발행일로부터 5년
3rd row발행일로부터 5년
4th row발행일로부터 5년
5th row발행일로부터 5년

Common Values

ValueCountFrequency (%)
발행일로부터 5년 26
100.0%

Length

2023-12-12T21:05:03.132709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:03.234219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발행일로부터 26
50.0%
5년 26
50.0%

문의처
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
제주특별자치도상인연합회
26 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주특별자치도상인연합회 26
100.0%

Length

2023-12-12T21:05:03.334656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:03.434947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주특별자치도상인연합회 26
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
064-755-7801
26 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row064-755-7801
2nd row064-755-7801
3rd row064-755-7801
4th row064-755-7801
5th row064-755-7801

Common Values

ValueCountFrequency (%)
064-755-7801 26
100.0%

Length

2023-12-12T21:05:03.536850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:03.667764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
064-755-7801 26
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2021-06-21 00:00:00
Maximum2021-06-21 00:00:00
2023-12-12T21:05:03.741050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:05:03.846132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T21:05:03.918969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가맹점명유형소재지도로명주소개설주기
가맹점명1.0001.0001.0001.000
유형1.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.000
개설주기1.0001.0001.0001.000
2023-12-12T21:05:04.020026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형개설주기
유형1.0000.913
개설주기0.9131.000
2023-12-12T21:05:04.109474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형개설주기
유형1.0000.913
개설주기0.9131.000

Missing values

2023-12-12T21:05:00.826280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:05:00.993505image/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

가맹점명유형소재지도로명주소개설주기유효기간문의처전화번호데이터기준일자
0동문재래시장상설제주특별자치도 제주시 이도일동 1436-7매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
1동문수산시장상설제주특별자치도 제주시 이도일동 1349-5매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
2서문공설시장상설제주특별자치도 제주시 용담일동 135-9매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
3보성시장상설제주특별자치도 제주시 이도일동 1289-5매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
4제주중앙지하상가상설제주특별자치도 제주시 일도일동 1425-3매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
5한림매일시장상설제주특별자치도 제주시 한림읍 한림리 1314-68매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
6서귀포올레매일시장상설제주특별자치도 서귀포시 서귀동 277-1매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
7모슬포중앙시장상설제주특별자치도 서귀포시 대정읍 하모리 822-7매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
8제주시민속오일시장오일장제주특별자치도 제주시 도두일동 12122일+7일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
9한림민속오일시장오일장제주특별자치도 제주시 한림읍 대림리 1698-44일+9일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
가맹점명유형소재지도로명주소개설주기유효기간문의처전화번호데이터기준일자
16성산오일시장오일장제주특별자치도 서귀포시 성산읍 성산리 186-11일+6일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
17표선오일시장오일장제주특별자치도 서귀포시 표선면 표선리 1002-12일+7일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
18동문공설시장상설제주특별자치도 제주시 일도일동 1104매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
19(주)동문시장상설제주특별자치도 제주시 일도일동 1148-2매일발행일로부터 5년제주특별자치도상인연합회064-755-78012021-06-21
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