Overview

Dataset statistics

Number of variables8
Number of observations123
Missing cells67
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory65.1 B

Variable types

Categorical2
Text4
DateTime2

Dataset

Description경상북도 봉화군 담배소매인현황(소매인구분,업소명,소재지지번주소,소재지도로명주소,업소전화번호,지정일자,데이터기준일자)를 제공합니다.
URLhttps://www.data.go.kr/data/15035680/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호미보유사유 is highly overall correlated with 소매인구분High correlation
소매인구분 is highly overall correlated with 전화번호미보유사유High correlation
소매인구분 is highly imbalanced (51.3%)Imbalance
소재지도로명주소 has 14 (11.4%) missing valuesMissing
업소전화번호 has 53 (43.1%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:01:24.781426
Analysis finished2023-12-12 08:01:25.384248
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소매인구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
일반
110 
구내
13 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 110
89.4%
구내 13
 
10.6%

Length

2023-12-12T17:01:25.458956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:01:25.556653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 110
89.4%
구내 13
 
10.6%

업소명
Text

UNIQUE 

Distinct123
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T17:01:25.794892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length13
Mean length6.0894309
Min length2

Characters and Unicode

Total characters749
Distinct characters210
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)100.0%

Sample

1st row산타마트
2nd row세븐일레븐 봉화역점
3rd row금호주유소
4th row대흥철물
5th row송이식당 한우암소전문점
ValueCountFrequency (%)
춘양농협 3
 
2.0%
봉화농협 3
 
2.0%
봉화 3
 
2.0%
세븐일레븐 2
 
1.3%
씨유 2
 
1.3%
봉화점 2
 
1.3%
산타마트 1
 
0.7%
송이마트 1
 
0.7%
봉화송이 1
 
0.7%
휴게소 1
 
0.7%
Other values (130) 130
87.2%
2023-12-12T17:01:26.164294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 26
 
3.5%
26
 
3.5%
화 25
 
3.3%
봉 24
 
3.2%
점 24
 
3.2%
트 22
 
2.9%
퍼 16
 
2.1%
식 16
 
2.1%
농 15
 
2.0%
슈 15
 
2.0%
Other values (200) 540
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 698
93.2%
Space Separator 26
 
3.5%
Decimal Number 12
 
1.6%
Uppercase Letter 6
 
0.8%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 26
 
3.7%
화 25
 
3.6%
봉 24
 
3.4%
점 24
 
3.4%
트 22
 
3.2%
퍼 16
 
2.3%
식 16
 
2.3%
농 15
 
2.1%
슈 15
 
2.1%
양 13
 
1.9%
Other values (189) 502
71.9%
Decimal Number
ValueCountFrequency (%)
2 5
41.7%
5 3
25.0%
0 2
 
16.7%
7 1
 
8.3%
6 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
S 3
50.0%
G 3
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 697
93.1%
Common 45
 
6.0%
Latin 6
 
0.8%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 26
 
3.7%
화 25
 
3.6%
봉 24
 
3.4%
점 24
 
3.4%
트 22
 
3.2%
퍼 16
 
2.3%
식 16
 
2.3%
농 15
 
2.2%
슈 15
 
2.2%
양 13
 
1.9%
Other values (188) 501
71.9%
Common
ValueCountFrequency (%)
26
57.8%
2 5
 
11.1%
) 3
 
6.7%
( 3
 
6.7%
5 3
 
6.7%
0 2
 
4.4%
& 1
 
2.2%
7 1
 
2.2%
6 1
 
2.2%
Latin
ValueCountFrequency (%)
S 3
50.0%
G 3
50.0%
Han
ValueCountFrequency (%)
多 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 697
93.1%
ASCII 51
 
6.8%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 26
 
3.7%
화 25
 
3.6%
봉 24
 
3.4%
점 24
 
3.4%
트 22
 
3.2%
퍼 16
 
2.3%
식 16
 
2.3%
농 15
 
2.2%
슈 15
 
2.2%
양 13
 
1.9%
Other values (188) 501
71.9%
ASCII
ValueCountFrequency (%)
26
51.0%
2 5
 
9.8%
) 3
 
5.9%
( 3
 
5.9%
S 3
 
5.9%
5 3
 
5.9%
G 3
 
5.9%
0 2
 
3.9%
& 1
 
2.0%
7 1
 
2.0%
CJK
ValueCountFrequency (%)
多 1
100.0%

소재지지번주소
Text

Distinct122
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T17:01:26.572914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length33
Mean length22.926829
Min length19

Characters and Unicode

Total characters2820
Distinct characters106
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

Unique121 ?
Unique (%)98.4%

Sample

1st row경상북도 봉화군 소천면 분천리 936-4
2nd row경상북도 봉화군 봉화읍 봉화로 1090
3rd row경상북도 봉화군 봉성면 창평리 139-7 금호주유소
4th row경상북도 봉화군 석포면 석포리 385-11
5th row경상북도 봉화군 봉화읍 해저리 85-3 봉화송이식당
ValueCountFrequency (%)
경상북도 123
19.4%
봉화군 123
19.4%
봉화읍 42
 
6.6%
내성리 30
 
4.7%
춘양면 18
 
2.8%
소천면 15
 
2.4%
석포면 14
 
2.2%
의양리 12
 
1.9%
석포리 10
 
1.6%
현동리 10
 
1.6%
Other values (179) 238
37.5%
2023-12-12T17:01:27.145449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
554
19.6%
봉 180
 
6.4%
화 168
 
6.0%
상 127
 
4.5%
북 126
 
4.5%
도 126
 
4.5%
경 123
 
4.4%
군 123
 
4.4%
리 121
 
4.3%
- 92
 
3.3%
Other values (96) 1080
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1679
59.5%
Space Separator 554
 
19.6%
Decimal Number 495
 
17.6%
Dash Punctuation 92
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 180
 
10.7%
화 168
 
10.0%
상 127
 
7.6%
북 126
 
7.5%
도 126
 
7.5%
경 123
 
7.3%
군 123
 
7.3%
리 121
 
7.2%
면 81
 
4.8%
읍 42
 
2.5%
Other values (84) 462
27.5%
Decimal Number
ValueCountFrequency (%)
1 90
18.2%
3 67
13.5%
4 59
11.9%
6 53
10.7%
2 48
9.7%
7 42
8.5%
5 35
 
7.1%
0 35
 
7.1%
8 33
 
6.7%
9 33
 
6.7%
Space Separator
ValueCountFrequency (%)
554
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1679
59.5%
Common 1141
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 180
 
10.7%
화 168
 
10.0%
상 127
 
7.6%
북 126
 
7.5%
도 126
 
7.5%
경 123
 
7.3%
군 123
 
7.3%
리 121
 
7.2%
면 81
 
4.8%
읍 42
 
2.5%
Other values (84) 462
27.5%
Common
ValueCountFrequency (%)
554
48.6%
- 92
 
8.1%
1 90
 
7.9%
3 67
 
5.9%
4 59
 
5.2%
6 53
 
4.6%
2 48
 
4.2%
7 42
 
3.7%
5 35
 
3.1%
0 35
 
3.1%
Other values (2) 66
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1679
59.5%
ASCII 1141
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
554
48.6%
- 92
 
8.1%
1 90
 
7.9%
3 67
 
5.9%
4 59
 
5.2%
6 53
 
4.6%
2 48
 
4.2%
7 42
 
3.7%
5 35
 
3.1%
0 35
 
3.1%
Other values (2) 66
 
5.8%
Hangul
ValueCountFrequency (%)
봉 180
 
10.7%
화 168
 
10.0%
상 127
 
7.6%
북 126
 
7.5%
도 126
 
7.5%
경 123
 
7.3%
군 123
 
7.3%
리 121
 
7.2%
면 81
 
4.8%
읍 42
 
2.5%
Other values (84) 462
27.5%

소재지도로명주소
Text

MISSING 

Distinct109
Distinct (%)100.0%
Missing14
Missing (%)11.4%
Memory size1.1 KiB
2023-12-12T17:01:27.514094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length21.807339
Min length18

Characters and Unicode

Total characters2377
Distinct characters110
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)100.0%

Sample

1st row경상북도 봉화군 소천면 분천리 936-4
2nd row경상북도 봉화군 봉화읍 봉화로 1090
3rd row경상북도 봉화군 봉성면 창평리 139-7 금호주유소
4th row경상북도 봉화군 석포면 석포리 385-11
5th row경상북도 봉화군 봉화읍 봉화로 1069. 봉화송이식당
ValueCountFrequency (%)
봉화군 109
19.5%
경상북도 108
19.4%
봉화읍 40
 
7.2%
춘양면 17
 
3.0%
봉화로 16
 
2.9%
소천면 13
 
2.3%
석포면 10
 
1.8%
소천로 8
 
1.4%
명호면 7
 
1.3%
내성로 6
 
1.1%
Other values (163) 224
40.1%
2023-12-12T17:01:28.108795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
461
19.4%
봉 180
 
7.6%
화 167
 
7.0%
상 112
 
4.7%
경 109
 
4.6%
북 109
 
4.6%
도 109
 
4.6%
군 109
 
4.6%
1 109
 
4.6%
로 85
 
3.6%
Other values (100) 827
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1495
62.9%
Space Separator 461
 
19.4%
Decimal Number 379
 
15.9%
Dash Punctuation 32
 
1.3%
Other Punctuation 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 180
12.0%
화 167
11.2%
상 112
 
7.5%
경 109
 
7.3%
북 109
 
7.3%
도 109
 
7.3%
군 109
 
7.3%
로 85
 
5.7%
면 69
 
4.6%
읍 40
 
2.7%
Other values (87) 406
27.2%
Decimal Number
ValueCountFrequency (%)
1 109
28.8%
2 53
14.0%
8 33
 
8.7%
3 30
 
7.9%
5 30
 
7.9%
0 28
 
7.4%
4 28
 
7.4%
6 25
 
6.6%
9 22
 
5.8%
7 21
 
5.5%
Space Separator
ValueCountFrequency (%)
461
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1495
62.9%
Common 882
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 180
12.0%
화 167
11.2%
상 112
 
7.5%
경 109
 
7.3%
북 109
 
7.3%
도 109
 
7.3%
군 109
 
7.3%
로 85
 
5.7%
면 69
 
4.6%
읍 40
 
2.7%
Other values (87) 406
27.2%
Common
ValueCountFrequency (%)
461
52.3%
1 109
 
12.4%
2 53
 
6.0%
8 33
 
3.7%
- 32
 
3.6%
3 30
 
3.4%
5 30
 
3.4%
0 28
 
3.2%
4 28
 
3.2%
6 25
 
2.8%
Other values (3) 53
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1495
62.9%
ASCII 882
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
461
52.3%
1 109
 
12.4%
2 53
 
6.0%
8 33
 
3.7%
- 32
 
3.6%
3 30
 
3.4%
5 30
 
3.4%
0 28
 
3.2%
4 28
 
3.2%
6 25
 
2.8%
Other values (3) 53
 
6.0%
Hangul
ValueCountFrequency (%)
봉 180
12.0%
화 167
11.2%
상 112
 
7.5%
경 109
 
7.3%
북 109
 
7.3%
도 109
 
7.3%
군 109
 
7.3%
로 85
 
5.7%
면 69
 
4.6%
읍 40
 
2.7%
Other values (87) 406
27.2%

업소전화번호
Text

MISSING 

Distinct69
Distinct (%)98.6%
Missing53
Missing (%)43.1%
Memory size1.1 KiB
2023-12-12T17:01:28.388385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters840
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

Unique68 ?
Unique (%)97.1%

Sample

1st row054-672-8228
2nd row054-673-4788
3rd row054-673-7727
4th row054-674-9990
5th row054-674-1101
ValueCountFrequency (%)
054-674-3305 2
 
2.9%
054-672-1318 1
 
1.4%
054-673-9715 1
 
1.4%
054-674-3900 1
 
1.4%
054-673-5437 1
 
1.4%
054-674-2006 1
 
1.4%
054-673-4437 1
 
1.4%
054-674-0397 1
 
1.4%
054-672-3129 1
 
1.4%
054-672-6446 1
 
1.4%
Other values (59) 59
84.3%
2023-12-12T17:01:28.843361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 140
16.7%
0 107
12.7%
5 103
12.3%
4 103
12.3%
7 96
11.4%
6 93
11.1%
3 65
7.7%
2 56
 
6.7%
1 27
 
3.2%
8 27
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 700
83.3%
Dash Punctuation 140
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 107
15.3%
5 103
14.7%
4 103
14.7%
7 96
13.7%
6 93
13.3%
3 65
9.3%
2 56
8.0%
1 27
 
3.9%
8 27
 
3.9%
9 23
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 840
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 140
16.7%
0 107
12.7%
5 103
12.3%
4 103
12.3%
7 96
11.4%
6 93
11.1%
3 65
7.7%
2 56
 
6.7%
1 27
 
3.2%
8 27
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 140
16.7%
0 107
12.7%
5 103
12.3%
4 103
12.3%
7 96
11.4%
6 93
11.1%
3 65
7.7%
2 56
 
6.7%
1 27
 
3.2%
8 27
 
3.2%

전화번호미보유사유
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
70 
개인정보포함
53 

Length

Max length6
Median length4
Mean length4.8617886
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인정보포함
2nd row개인정보포함
3rd row<NA>
4th row개인정보포함
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 70
56.9%
개인정보포함 53
43.1%

Length

2023-12-12T17:01:29.027917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:01:29.188908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 70
56.9%
개인정보포함 53
43.1%

지정일자
Date

Distinct118
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1974-07-08 00:00:00
Maximum2022-07-29 00:00:00
2023-12-12T17:01:29.314967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:01:29.825796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2022-12-17 00:00:00
Maximum2022-12-17 00:00:00
2023-12-12T17:01:29.982913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:01:30.099750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T17:01:30.184216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소매인구분업소전화번호
소매인구분1.0001.000
업소전화번호1.0001.000
2023-12-12T17:01:30.328533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전화번호미보유사유소매인구분
전화번호미보유사유1.0001.000
소매인구분1.0001.000
2023-12-12T17:01:30.471930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소매인구분전화번호미보유사유
소매인구분1.0001.000
전화번호미보유사유1.0001.000

Missing values

2023-12-12T17:01:25.127002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:01:25.240715image/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.
2023-12-12T17:01:25.333197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

소매인구분업소명소재지지번주소소재지도로명주소업소전화번호전화번호미보유사유지정일자데이터기준일자
0일반산타마트경상북도 봉화군 소천면 분천리 936-4경상북도 봉화군 소천면 분천리 936-4<NA>개인정보포함2022-07-292022-12-17
1일반세븐일레븐 봉화역점경상북도 봉화군 봉화읍 봉화로 1090경상북도 봉화군 봉화읍 봉화로 1090<NA>개인정보포함2022-04-252022-12-17
2일반금호주유소경상북도 봉화군 봉성면 창평리 139-7 금호주유소경상북도 봉화군 봉성면 창평리 139-7 금호주유소054-672-8228<NA>2022-02-252022-12-17
3일반대흥철물경상북도 봉화군 석포면 석포리 385-11경상북도 봉화군 석포면 석포리 385-11<NA>개인정보포함2022-02-172022-12-17
4일반송이식당 한우암소전문점경상북도 봉화군 봉화읍 해저리 85-3 봉화송이식당경상북도 봉화군 봉화읍 봉화로 1069. 봉화송이식당054-673-4788<NA>2021-09-082022-12-17
5일반푸른마트경상북도 봉화군 봉화읍 내성리 188-7 푸른마트경상북도 봉화군 봉화읍 내성로1길 17-77. 푸른마트054-673-7727<NA>2021-09-072022-12-17
6일반춘봉매점경상북도 봉화군 법전면 풍정리 803-2 춘봉주유소경상북도 봉화군 법전면 다덕로 1096. 춘봉주유소<NA>개인정보포함2021-08-022022-12-17
7일반6070 보부상경상북도 봉화군 봉화읍 내성리 219-5경상북도 봉화군 봉화읍 내성로 72054-674-9990<NA>2021-07-022022-12-17
8일반아이피아안경 봉화점경상북도 봉화군 봉화읍 내성리 273-13경상북도 봉화군 봉화읍 내성로 96054-674-1101<NA>2021-06-292022-12-17
9일반성천불교상회경상북도 봉화군 봉화읍 내성리 394-1 제2상설시장경상북도 봉화군 봉화읍 신시장1길 12. 제2상설시장<NA>개인정보포함2021-01-042022-12-17
소매인구분업소명소재지지번주소소재지도로명주소업소전화번호전화번호미보유사유지정일자데이터기준일자
113구내봉화터미널매점경상북도 봉화군 봉화읍 내성리 421-6경상북도 봉화군 봉화읍 봉화로 1153-1<NA>개인정보포함1994-09-052022-12-17
114일반인장포경상북도 봉화군 물야면 오록리 430-20경상북도 봉화군 물야면 문수로 988-2<NA>개인정보포함1994-06-292022-12-17
115일반후게자슈퍼마켓경상북도 봉화군 봉화읍 내성리 416-5경상북도 봉화군 봉화읍 봉화로 1124<NA>개인정보포함1993-10-062022-12-17
116구내박석마트경상북도 봉화군 봉성면 우곡리 549-10<NA><NA>개인정보포함1993-07-262022-12-17
117일반봉화농협경상북도 봉화군 봉화읍 내성리 234-7경상북도 봉화군 봉화읍 봉화로 1160<NA>개인정보포함1992-11-192022-12-17
118일반대현슈퍼경상북도 봉화군 석포면 대현리 83-3<NA><NA>개인정보포함1989-03-242022-12-17
119일반새로나마트경상북도 봉화군 석포면 석포리 441-1<NA><NA>개인정보포함1988-10-152022-12-17
120일반매일슈퍼 (多)경상북도 봉화군 춘양면 의양리 362<NA><NA>개인정보포함1984-04-092022-12-17
121일반광비정류소경상북도 봉화군 소천면 분천리 84-1<NA><NA>개인정보포함1979-11-172022-12-17
122구내춘양단위농협하나로마트경상북도 봉화군 춘양면 의양리 417-14경상북도 봉화군 춘양면 의양로 81-3054-672-3393<NA>1974-07-082022-12-17