Overview

Dataset statistics

Number of variables6
Number of observations7329
Missing cells0
Missing cells (%)0.0%
Duplicate rows46
Duplicate rows (%)0.6%
Total size in memory343.7 KiB
Average record size in memory48.0 B

Variable types

Text2
Categorical4

Dataset

Description2022년 전라남도 여수시 상품권 가맹점 현황 자료이며, 지역화폐 가맹점 상호, 주소, 전화번호 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15084060/fileData.do

Alerts

사용가능지역화폐 has constant value ""Constant
시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 46 (0.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 08:35:18.291278
Analysis finished2023-12-12 08:35:19.349934
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹점명
Text

Distinct7162
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
2023-12-12T17:35:19.635175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length6.6159094
Min length1

Characters and Unicode

Total characters48488
Distinct characters993
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7031 ?
Unique (%)95.9%

Sample

1st row다리미 삼겹살 여수웅천점
2nd row천하상회
3rd row해빛 편의점(원앙점)
4th row연세약국
5th row모브네일
ValueCountFrequency (%)
여수점 72
 
0.8%
씨유 47
 
0.5%
여수 46
 
0.5%
주식회사 44
 
0.5%
세븐일레븐 36
 
0.4%
이마트24 33
 
0.4%
여수웅천점 30
 
0.3%
여천점 30
 
0.3%
헤어 21
 
0.2%
여수여천점 20
 
0.2%
Other values (7799) 8826
95.9%
2023-12-12T17:35:20.176152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1882
 
3.9%
점 1495
 
3.1%
수 1450
 
3.0%
여 1342
 
2.8%
스 881
 
1.8%
이 874
 
1.8%
리 657
 
1.4%
원 617
 
1.3%
어 500
 
1.0%
마 480
 
1.0%
Other values (983) 38310
79.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42722
88.1%
Space Separator 1882
 
3.9%
Uppercase Letter 1216
 
2.5%
Decimal Number 750
 
1.5%
Lowercase Letter 728
 
1.5%
Close Punctuation 480
 
1.0%
Open Punctuation 476
 
1.0%
Other Punctuation 209
 
0.4%
Dash Punctuation 11
 
< 0.1%
Other Symbol 6
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1495
 
3.5%
수 1450
 
3.4%
여 1342
 
3.1%
스 881
 
2.1%
이 874
 
2.0%
리 657
 
1.5%
원 617
 
1.4%
어 500
 
1.2%
마 480
 
1.1%
아 434
 
1.0%
Other values (899) 33992
79.6%
Uppercase Letter
ValueCountFrequency (%)
S 149
 
12.3%
G 112
 
9.2%
C 103
 
8.5%
E 81
 
6.7%
A 75
 
6.2%
O 74
 
6.1%
U 70
 
5.8%
B 58
 
4.8%
T 46
 
3.8%
N 45
 
3.7%
Other values (16) 403
33.1%
Lowercase Letter
ValueCountFrequency (%)
e 85
 
11.7%
a 84
 
11.5%
o 68
 
9.3%
i 53
 
7.3%
n 48
 
6.6%
r 44
 
6.0%
l 35
 
4.8%
t 34
 
4.7%
s 33
 
4.5%
u 30
 
4.1%
Other values (15) 214
29.4%
Other Punctuation
ValueCountFrequency (%)
& 58
27.8%
, 44
21.1%
. 36
17.2%
; 17
 
8.1%
# 15
 
7.2%
' 10
 
4.8%
＆ 9
 
4.3%
! 6
 
2.9%
? 4
 
1.9%
/ 3
 
1.4%
Other values (4) 7
 
3.3%
Decimal Number
ValueCountFrequency (%)
2 214
28.5%
5 141
18.8%
1 98
13.1%
4 75
 
10.0%
3 60
 
8.0%
6 40
 
5.3%
0 37
 
4.9%
7 36
 
4.8%
9 29
 
3.9%
8 20
 
2.7%
Other Symbol
ValueCountFrequency (%)
㈜ 5
83.3%
℃ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1882
100.0%
Close Punctuation
ValueCountFrequency (%)
) 480
100.0%
Open Punctuation
ValueCountFrequency (%)
( 476
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Control
ValueCountFrequency (%)
5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42719
88.1%
Common 3817
 
7.9%
Latin 1944
 
4.0%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1495
 
3.5%
수 1450
 
3.4%
여 1342
 
3.1%
스 881
 
2.1%
이 874
 
2.0%
리 657
 
1.5%
원 617
 
1.4%
어 500
 
1.2%
마 480
 
1.1%
아 434
 
1.0%
Other values (893) 33989
79.6%
Latin
ValueCountFrequency (%)
S 149
 
7.7%
G 112
 
5.8%
C 103
 
5.3%
e 85
 
4.4%
a 84
 
4.3%
E 81
 
4.2%
A 75
 
3.9%
O 74
 
3.8%
U 70
 
3.6%
o 68
 
3.5%
Other values (41) 1043
53.7%
Common
ValueCountFrequency (%)
1882
49.3%
) 480
 
12.6%
( 476
 
12.5%
2 214
 
5.6%
5 141
 
3.7%
1 98
 
2.6%
4 75
 
2.0%
3 60
 
1.6%
& 58
 
1.5%
, 44
 
1.2%
Other values (22) 289
 
7.6%
Han
ValueCountFrequency (%)
流 2
25.0%
愛 1
12.5%
家 1
12.5%
海 1
12.5%
韓 1
12.5%
豚 1
12.5%
夜 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42714
88.1%
ASCII 5748
 
11.9%
None 17
 
< 0.1%
CJK 6
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1882
32.7%
) 480
 
8.4%
( 476
 
8.3%
2 214
 
3.7%
S 149
 
2.6%
5 141
 
2.5%
G 112
 
1.9%
C 103
 
1.8%
1 98
 
1.7%
e 85
 
1.5%
Other values (69) 2008
34.9%
Hangul
ValueCountFrequency (%)
점 1495
 
3.5%
수 1450
 
3.4%
여 1342
 
3.1%
스 881
 
2.1%
이 874
 
2.0%
리 657
 
1.5%
원 617
 
1.4%
어 500
 
1.2%
마 480
 
1.1%
아 434
 
1.0%
Other values (892) 33984
79.6%
None
ValueCountFrequency (%)
＆ 9
52.9%
㈜ 5
29.4%
？ 2
 
11.8%
＃ 1
 
5.9%
CJK Compat Ideographs
ValueCountFrequency (%)
流 2
100.0%
CJK
ValueCountFrequency (%)
愛 1
16.7%
家 1
16.7%
海 1
16.7%
韓 1
16.7%
豚 1
16.7%
夜 1
16.7%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

사용가능지역화폐
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
여수상품권
7329 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여수상품권 7329
100.0%

Length

2023-12-12T17:35:20.331423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:35:20.462882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수상품권 7329
100.0%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
전라남도
7329 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 7329
100.0%

Length

2023-12-12T17:35:20.613227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:35:20.747054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 7329
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
여수시
7329 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여수시 7329
100.0%

Length

2023-12-12T17:35:20.905689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:35:21.027283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여수시 7329
100.0%

소재지도로명주소
Text

Distinct4765
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
2023-12-12T17:35:21.403825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length21.849229
Min length18

Characters and Unicode

Total characters160133
Distinct characters271
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

Unique3484 ?
Unique (%)47.5%

Sample

1st row전라남도 여수시 예울마루로 37-26(웅천동)
2nd row전라남도 여수시 학동1길 10(학동)
3rd row전라남도 여수시 여문1로 73(문수동)
4th row전라남도 여수시 선원4길 3(선원동)
5th row전라남도 여수시 허문정1길 51-1(문수동)
ValueCountFrequency (%)
전라남도 7329
23.9%
여수시 7329
23.9%
좌수영로 335
 
1.1%
소라면 312
 
1.0%
돌산읍 231
 
0.8%
중앙로 216
 
0.7%
신월로 202
 
0.7%
쌍봉로 187
 
0.6%
문수로 170
 
0.6%
망마로 145
 
0.5%
Other values (4090) 14168
46.3%
2023-12-12T17:35:21.977749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23295
 
14.5%
수 8579
 
5.4%
여 8560
 
5.3%
남 8152
 
5.1%
시 7845
 
4.9%
라 7678
 
4.8%
도 7483
 
4.7%
전 7364
 
4.6%
동 7276
 
4.5%
( 6563
 
4.1%
Other values (261) 67338
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100413
62.7%
Space Separator 23295
 
14.5%
Decimal Number 20828
 
13.0%
Open Punctuation 6563
 
4.1%
Close Punctuation 6563
 
4.1%
Dash Punctuation 2140
 
1.3%
Other Punctuation 321
 
0.2%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 8579
 
8.5%
여 8560
 
8.5%
남 8152
 
8.1%
시 7845
 
7.8%
라 7678
 
7.6%
도 7483
 
7.5%
전 7364
 
7.3%
동 7276
 
7.2%
로 4104
 
4.1%
길 3233
 
3.2%
Other values (245) 30139
30.0%
Decimal Number
ValueCountFrequency (%)
1 4942
23.7%
2 3046
14.6%
3 2625
12.6%
4 1866
 
9.0%
6 1857
 
8.9%
5 1731
 
8.3%
7 1343
 
6.4%
8 1235
 
5.9%
9 1103
 
5.3%
0 1080
 
5.2%
Space Separator
ValueCountFrequency (%)
23295
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6563
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6563
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2140
100.0%
Other Punctuation
ValueCountFrequency (%)
, 321
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100413
62.7%
Common 59710
37.3%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 8579
 
8.5%
여 8560
 
8.5%
남 8152
 
8.1%
시 7845
 
7.8%
라 7678
 
7.6%
도 7483
 
7.5%
전 7364
 
7.3%
동 7276
 
7.2%
로 4104
 
4.1%
길 3233
 
3.2%
Other values (245) 30139
30.0%
Common
ValueCountFrequency (%)
23295
39.0%
( 6563
 
11.0%
) 6563
 
11.0%
1 4942
 
8.3%
2 3046
 
5.1%
3 2625
 
4.4%
- 2140
 
3.6%
4 1866
 
3.1%
6 1857
 
3.1%
5 1731
 
2.9%
Other values (5) 5082
 
8.5%
Latin
ValueCountFrequency (%)
e 10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100413
62.7%
ASCII 59720
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23295
39.0%
( 6563
 
11.0%
) 6563
 
11.0%
1 4942
 
8.3%
2 3046
 
5.1%
3 2625
 
4.4%
- 2140
 
3.6%
4 1866
 
3.1%
6 1857
 
3.1%
5 1731
 
2.9%
Other values (6) 5092
 
8.5%
Hangul
ValueCountFrequency (%)
수 8579
 
8.5%
여 8560
 
8.5%
남 8152
 
8.1%
시 7845
 
7.8%
라 7678
 
7.6%
도 7483
 
7.5%
전 7364
 
7.3%
동 7276
 
7.2%
로 4104
 
4.1%
길 3233
 
3.2%
Other values (245) 30139
30.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.4 KiB
2023-08-30
7329 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-30
2nd row2023-08-30
3rd row2023-08-30
4th row2023-08-30
5th row2023-08-30

Common Values

ValueCountFrequency (%)
2023-08-30 7329
100.0%

Length

2023-12-12T17:35:22.177017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:35:22.316773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-30 7329
100.0%

Missing values

2023-12-12T17:35:19.163996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:35:19.293358image/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

가맹점명사용가능지역화폐시도명시군구명소재지도로명주소데이터기준일자
0다리미 삼겹살 여수웅천점여수상품권전라남도여수시전라남도 여수시 예울마루로 37-26(웅천동)2023-08-30
1천하상회여수상품권전라남도여수시전라남도 여수시 학동1길 10(학동)2023-08-30
2해빛 편의점(원앙점)여수상품권전라남도여수시전라남도 여수시 여문1로 73(문수동)2023-08-30
3연세약국여수상품권전라남도여수시전라남도 여수시 선원4길 3(선원동)2023-08-30
4모브네일여수상품권전라남도여수시전라남도 여수시 허문정1길 51-1(문수동)2023-08-30
5닥터모락(여수신기점)여수상품권전라남도여수시전라남도 여수시 선소로 86(신기동)2023-08-30
6다이소 종화점여수상품권전라남도여수시전라남도 여수시 이순신광장로 209(종화동)2023-08-30
7여수 섬섬당여수상품권전라남도여수시전라남도 여수시 진남상가길 11-1(중앙동)2023-08-30
8동백여수상품권전라남도여수시전라남도 여수시 봉강2길 2-2(봉강동)2023-08-30
9CU웅천부영점여수상품권전라남도여수시전라남도 여수시 웅천로 190(웅천동, 여수웅천사랑으로부영5차아파트)2023-08-30
가맹점명사용가능지역화폐시도명시군구명소재지도로명주소데이터기준일자
7319라뷰티여수상품권전라남도여수시전라남도 여수시 신기남4길 5(신기동)2023-08-30
7320금호타이어 여수서비스센타여수상품권전라남도여수시전라남도 여수시 소라면 여순로 2022023-08-30
7321생활드림여수상품권전라남도여수시전라남도 여수시 중앙로 17(충무동)2023-08-30
7322남도한약국여수상품권전라남도여수시전라남도 여수시 웅천7길 33(웅천동)2023-08-30
7323아마떼여수상품권전라남도여수시전라남도 여수시 웅천남1로 52(웅천동)2023-08-30
7324미미패션여수상품권전라남도여수시전라남도 여수시 좌수영로 16-6(서교동)2023-08-30
7325보떼 네일아트여수상품권전라남도여수시전라남도 여수시 신기남4길 32(신기동)2023-08-30
7326한우드림여수상품권전라남도여수시전라남도 여수시 돌산읍 도실길 75-12023-08-30
7327이차돌죽림점여수상품권전라남도여수시전라남도 여수시 소라면 죽림중앙로 30-342023-08-30
7328중도매인11호여수상품권전라남도여수시전라남도 여수시 어항단지로 210(봉산동)2023-08-30

Duplicate rows

Most frequently occurring

가맹점명사용가능지역화폐시도명시군구명소재지도로명주소데이터기준일자# duplicates
23아모레여수상품권전라남도여수시전라남도 여수시 시청동1길 17(학동)2023-08-308
26아모레뷰티카운셀러여수상품권전라남도여수시전라남도 여수시 여서1로 92(여서동)2023-08-308
27아모레카운셀러여수상품권전라남도여수시전라남도 여수시 시청동1길 17(학동)2023-08-304
25아모레여수상품권전라남도여수시전라남도 여수시 여서1로 92(여서동)2023-08-303
0고희여수상품권전라남도여수시전라남도 여수시 장성1길 25(안산동)2023-08-302
1교촌치킨 국동점여수상품권전라남도여수시전라남도 여수시 신월로 570(신월동)2023-08-302
2그린나래여수상품권전라남도여수시전라남도 여수시 돌산읍 향일암로 35-12023-08-302
3나도국밥&족발여수상품권전라남도여수시전라남도 여수시 국동4길 10(국동)2023-08-302
4낭낭오리집 웅천점여수상품권전라남도여수시전라남도 여수시 예울마루로 35-56(웅천동)2023-08-302
5다리미 삼겹살 여수웅천점여수상품권전라남도여수시전라남도 여수시 예울마루로 37-26(웅천동)2023-08-302