Overview

Dataset statistics

Number of variables8
Number of observations77
Missing cells25
Missing cells (%)4.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory66.7 B

Variable types

Numeric1
Text4
DateTime1
Categorical2

Dataset

Description경상북도 영양군_담배소매인 현황에 대한 데이터로 대표자명, 업소명, 업소도로명주소, 업소전화번호등을 제공합니다.
Author경상북도 영양군
URLhttps://www.data.go.kr/data/15021191/fileData.do

Alerts

영업구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업소전화번호 has 25 (32.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:11:48.288259
Analysis finished2023-12-12 09:11:49.545669
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2023-12-12T18:11:49.628598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.8
Q120
median39
Q358
95-th percentile73.2
Maximum77
Range76
Interquartile range (IQR)38

Descriptive statistics

Standard deviation22.371857
Coefficient of variation (CV)0.57363737
Kurtosis-1.2
Mean39
Median Absolute Deviation (MAD)19
Skewness0
Sum3003
Variance500.5
MonotonicityStrictly increasing
2023-12-12T18:11:49.807721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (67) 67
87.0%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
77 1
1.3%
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%

대표자명
Text

Distinct75
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size748.0 B
2023-12-12T18:11:50.096889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.3116883
Min length3

Characters and Unicode

Total characters255
Distinct characters102
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

Unique73 ?
Unique (%)94.8%

Sample

1st row김민경
2nd row영양새마을금고(남석진)
3rd row최은혜
4th row국군복지단 대구지원본부장
5th row신숙희
ValueCountFrequency (%)
신숙희 2
 
2.6%
일월농협 2
 
2.6%
김말순 1
 
1.3%
김진영 1
 
1.3%
김분선 1
 
1.3%
최혜자 1
 
1.3%
남상도 1
 
1.3%
한정해 1
 
1.3%
김호림 1
 
1.3%
김수자 1
 
1.3%
Other values (66) 66
84.6%
2023-12-12T18:11:50.535123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 21
 
8.2%
자 11
 
4.3%
숙 10
 
3.9%
정 8
 
3.1%
순 7
 
2.7%
박 7
 
2.7%
영 7
 
2.7%
옥 6
 
2.4%
재 6
 
2.4%
이 6
 
2.4%
Other values (92) 166
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
98.8%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 21
 
8.3%
자 11
 
4.4%
숙 10
 
4.0%
정 8
 
3.2%
순 7
 
2.8%
박 7
 
2.8%
영 7
 
2.8%
옥 6
 
2.4%
재 6
 
2.4%
이 6
 
2.4%
Other values (89) 163
64.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 252
98.8%
Common 3
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 21
 
8.3%
자 11
 
4.4%
숙 10
 
4.0%
정 8
 
3.2%
순 7
 
2.8%
박 7
 
2.8%
영 7
 
2.8%
옥 6
 
2.4%
재 6
 
2.4%
이 6
 
2.4%
Other values (89) 163
64.7%
Common
ValueCountFrequency (%)
( 1
33.3%
) 1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
98.8%
ASCII 3
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 21
 
8.3%
자 11
 
4.4%
숙 10
 
4.0%
정 8
 
3.2%
순 7
 
2.8%
박 7
 
2.8%
영 7
 
2.8%
옥 6
 
2.4%
재 6
 
2.4%
이 6
 
2.4%
Other values (89) 163
64.7%
ASCII
ValueCountFrequency (%)
( 1
33.3%
) 1
33.3%
1
33.3%

업소명
Text

Distinct74
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size748.0 B
2023-12-12T18:11:50.806207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length5.5714286
Min length3

Characters and Unicode

Total characters429
Distinct characters162
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)92.2%

Sample

1st row화매정류소식당
2nd row엠지(MG)영양농산물직판장
3rd row세븐일레븐 영양읍점
4th row국군복지단 대구지원본부 일월산마트
5th row시장삼길
ValueCountFrequency (%)
세븐일레븐 3
 
3.4%
삼거리슈퍼 2
 
2.3%
영양점 2
 
2.3%
시장삼길 2
 
2.3%
일월농협 2
 
2.3%
신흥상회 1
 
1.1%
낙동집 1
 
1.1%
남매상회 1
 
1.1%
현대슈퍼 1
 
1.1%
터미널매점 1
 
1.1%
Other values (71) 71
81.6%
2023-12-12T18:11:51.280362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 16
 
3.7%
식 15
 
3.5%
양 14
 
3.3%
회 12
 
2.8%
점 12
 
2.8%
상 12
 
2.8%
퍼 10
 
2.3%
10
 
2.3%
당 10
 
2.3%
일 9
 
2.1%
Other values (152) 309
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
93.2%
Space Separator 10
 
2.3%
Decimal Number 9
 
2.1%
Uppercase Letter 8
 
1.9%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 16
 
4.0%
식 15
 
3.8%
양 14
 
3.5%
회 12
 
3.0%
점 12
 
3.0%
상 12
 
3.0%
퍼 10
 
2.5%
당 10
 
2.5%
일 9
 
2.2%
대 8
 
2.0%
Other values (135) 282
70.5%
Uppercase Letter
ValueCountFrequency (%)
G 2
25.0%
M 1
12.5%
U 1
12.5%
C 1
12.5%
S 1
12.5%
K 1
12.5%
O 1
12.5%
Decimal Number
ValueCountFrequency (%)
8 2
22.2%
5 2
22.2%
7 1
11.1%
9 1
11.1%
2 1
11.1%
6 1
11.1%
3 1
11.1%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
93.2%
Common 21
 
4.9%
Latin 8
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 16
 
4.0%
식 15
 
3.8%
양 14
 
3.5%
회 12
 
3.0%
점 12
 
3.0%
상 12
 
3.0%
퍼 10
 
2.5%
당 10
 
2.5%
일 9
 
2.2%
대 8
 
2.0%
Other values (135) 282
70.5%
Common
ValueCountFrequency (%)
10
47.6%
8 2
 
9.5%
5 2
 
9.5%
7 1
 
4.8%
9 1
 
4.8%
( 1
 
4.8%
2 1
 
4.8%
6 1
 
4.8%
3 1
 
4.8%
) 1
 
4.8%
Latin
ValueCountFrequency (%)
G 2
25.0%
M 1
12.5%
U 1
12.5%
C 1
12.5%
S 1
12.5%
K 1
12.5%
O 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
93.2%
ASCII 29
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 16
 
4.0%
식 15
 
3.8%
양 14
 
3.5%
회 12
 
3.0%
점 12
 
3.0%
상 12
 
3.0%
퍼 10
 
2.5%
당 10
 
2.5%
일 9
 
2.2%
대 8
 
2.0%
Other values (135) 282
70.5%
ASCII
ValueCountFrequency (%)
10
34.5%
G 2
 
6.9%
8 2
 
6.9%
5 2
 
6.9%
7 1
 
3.4%
9 1
 
3.4%
M 1
 
3.4%
( 1
 
3.4%
U 1
 
3.4%
C 1
 
3.4%
Other values (7) 7
24.1%

업소도로명주소
Text

Distinct74
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size748.0 B
2023-12-12T18:11:51.718554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length21.402597
Min length1

Characters and Unicode

Total characters1648
Distinct characters115
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

Unique72 ?
Unique (%)93.5%

Sample

1st row경상북도 영양군 석보면 석보로 1186. 화매정류소식당
2nd row경상북도 영양군 입암면 영양로 883-5. 영양군농특산물직판장
3rd row경상북도 영양군 영양읍 옥골1길 1. 대동빌딩 1층
4th row경상북도 영양군 청기면 일월산길 747. 국군복지단 대구지원본부 일월산 마트
5th row경상북도 영양군 영양읍 시장3길 14. 시장삼길
ValueCountFrequency (%)
경상북도 74
19.0%
영양군 74
19.0%
영양읍 34
 
8.7%
일월면 10
 
2.6%
입암면 10
 
2.6%
중앙로 9
 
2.3%
수비면 9
 
2.3%
석보면 8
 
2.1%
영양로 8
 
2.1%
동서대로 7
 
1.8%
Other values (115) 146
37.5%
2023-12-12T18:11:52.251242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
318
19.3%
영 123
 
7.5%
양 122
 
7.4%
군 79
 
4.8%
상 77
 
4.7%
경 74
 
4.5%
북 74
 
4.5%
도 74
 
4.5%
1 59
 
3.6%
로 48
 
2.9%
Other values (105) 600
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1084
65.8%
Space Separator 318
 
19.3%
Decimal Number 215
 
13.0%
Other Punctuation 13
 
0.8%
Dash Punctuation 12
 
0.7%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 123
 
11.3%
양 122
 
11.3%
군 79
 
7.3%
상 77
 
7.1%
경 74
 
6.8%
북 74
 
6.8%
도 74
 
6.8%
로 48
 
4.4%
면 40
 
3.7%
읍 34
 
3.1%
Other values (88) 339
31.3%
Decimal Number
ValueCountFrequency (%)
1 59
27.4%
3 31
14.4%
2 26
12.1%
4 19
 
8.8%
8 17
 
7.9%
6 14
 
6.5%
7 13
 
6.0%
5 13
 
6.0%
9 12
 
5.6%
0 11
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
U 1
50.0%
Space Separator
ValueCountFrequency (%)
318
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1084
65.8%
Common 562
34.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 123
 
11.3%
양 122
 
11.3%
군 79
 
7.3%
상 77
 
7.1%
경 74
 
6.8%
북 74
 
6.8%
도 74
 
6.8%
로 48
 
4.4%
면 40
 
3.7%
읍 34
 
3.1%
Other values (88) 339
31.3%
Common
ValueCountFrequency (%)
318
56.6%
1 59
 
10.5%
3 31
 
5.5%
2 26
 
4.6%
4 19
 
3.4%
8 17
 
3.0%
6 14
 
2.5%
7 13
 
2.3%
5 13
 
2.3%
. 13
 
2.3%
Other values (5) 39
 
6.9%
Latin
ValueCountFrequency (%)
C 1
50.0%
U 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1084
65.8%
ASCII 564
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
318
56.4%
1 59
 
10.5%
3 31
 
5.5%
2 26
 
4.6%
4 19
 
3.4%
8 17
 
3.0%
6 14
 
2.5%
7 13
 
2.3%
5 13
 
2.3%
. 13
 
2.3%
Other values (7) 41
 
7.3%
Hangul
ValueCountFrequency (%)
영 123
 
11.3%
양 122
 
11.3%
군 79
 
7.3%
상 77
 
7.1%
경 74
 
6.8%
북 74
 
6.8%
도 74
 
6.8%
로 48
 
4.4%
면 40
 
3.7%
읍 34
 
3.1%
Other values (88) 339
31.3%

업소전화번호
Text

MISSING 

Distinct49
Distinct (%)94.2%
Missing25
Missing (%)32.5%
Memory size748.0 B
2023-12-12T18:11:52.573867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.596154
Min length1

Characters and Unicode

Total characters603
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)90.4%

Sample

1st row054-682-2125
2nd row054-683-3337
3rd row070-7790-1117
4th row054-680-0706
5th row054-683-5532
ValueCountFrequency (%)
682 4
 
6.9%
054 4
 
6.9%
054-682-2145 3
 
5.2%
054-682-5288 1
 
1.7%
054-682-1212 1
 
1.7%
054-682-2125 1
 
1.7%
054-683-2250 1
 
1.7%
054-682-4456 1
 
1.7%
054-683-3511 1
 
1.7%
054-682-0160 1
 
1.7%
Other values (40) 40
69.0%
2023-12-12T18:11:53.119182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
15.3%
0 85
14.1%
4 70
11.6%
5 68
11.3%
6 68
11.3%
2 61
10.1%
8 59
9.8%
1 33
 
5.5%
3 30
 
5.0%
7 15
 
2.5%
Other values (2) 22
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 501
83.1%
Dash Punctuation 92
 
15.3%
Space Separator 10
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
17.0%
4 70
14.0%
5 68
13.6%
6 68
13.6%
2 61
12.2%
8 59
11.8%
1 33
 
6.6%
3 30
 
6.0%
7 15
 
3.0%
9 12
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 603
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
15.3%
0 85
14.1%
4 70
11.6%
5 68
11.3%
6 68
11.3%
2 61
10.1%
8 59
9.8%
1 33
 
5.5%
3 30
 
5.0%
7 15
 
2.5%
Other values (2) 22
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 603
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
15.3%
0 85
14.1%
4 70
11.6%
5 68
11.3%
6 68
11.3%
2 61
10.1%
8 59
9.8%
1 33
 
5.5%
3 30
 
5.0%
7 15
 
2.5%
Other values (2) 22
 
3.6%

지정일자
Date

Distinct72
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum1985-03-25 00:00:00
Maximum2022-03-15 00:00:00
2023-12-12T18:11:53.346342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:11:53.513665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
정상영업
77 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 77
100.0%

Length

2023-12-12T18:11:53.663285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:11:53.771887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 77
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
2022-09-30
77 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-30
2nd row2022-09-30
3rd row2022-09-30
4th row2022-09-30
5th row2022-09-30

Common Values

ValueCountFrequency (%)
2022-09-30 77
100.0%

Length

2023-12-12T18:11:53.877515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:11:53.979380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-30 77
100.0%

Interactions

2023-12-12T18:11:49.144204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:11:54.049609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대표자명업소명업소도로명주소업소전화번호지정일자
연번1.0001.0000.9840.7740.9320.992
대표자명1.0001.0001.0000.9870.9890.999
업소명0.9841.0001.0000.9880.9890.997
업소도로명주소0.7740.9870.9881.0000.9950.969
업소전화번호0.9320.9890.9890.9951.0000.972
지정일자0.9920.9990.9970.9690.9721.000

Missing values

2023-12-12T18:11:49.291006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:11:49.463381image/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

연번대표자명업소명업소도로명주소업소전화번호지정일자영업구분데이터기준일자
01김민경화매정류소식당경상북도 영양군 석보면 석보로 1186. 화매정류소식당054-682-21252022-03-15정상영업2022-09-30
12영양새마을금고(남석진)엠지(MG)영양농산물직판장경상북도 영양군 입암면 영양로 883-5. 영양군농특산물직판장054-683-33372022-01-24정상영업2022-09-30
23최은혜세븐일레븐 영양읍점경상북도 영양군 영양읍 옥골1길 1. 대동빌딩 1층<NA>2022-01-17정상영업2022-09-30
34국군복지단 대구지원본부장국군복지단 대구지원본부 일월산마트경상북도 영양군 청기면 일월산길 747. 국군복지단 대구지원본부 일월산 마트070-7790-11172021-07-19정상영업2022-09-30
45신숙희시장삼길경상북도 영양군 영양읍 시장3길 14. 시장삼길054-680-07062021-06-10정상영업2022-09-30
56조준호세븐일레븐 영양동부점경상북도 영양군 영양읍 영양창수로 125<NA>2021-04-26정상영업2022-09-30
67신숙희시장삼길경상북도 영양군 영양읍 시장3길 14. 대풍한우식육마트<NA>2021-06-10정상영업2022-09-30
78김화자문암상회경상북도 영양군 일월면 영양로 3313. 문암상회<NA>2020-02-27정상영업2022-09-30
89정인숙새봄식당경상북도 영양군 일월면 영양로 2239-4. 새봄식당<NA>2020-02-27정상영업2022-09-30
910안자순블루밸리쉼터경상북도 영양군 석보면 화무로 635. 블루벨리가든054-683-55322019-09-23정상영업2022-09-30
연번대표자명업소명업소도로명주소업소전화번호지정일자영업구분데이터기준일자
6768김명자세진주유소경상북도 영양군 영양읍 영양로 1610054-682-00511998-06-15정상영업2022-09-30
6869용숙자대명슈퍼경상북도 영양군 영양읍 군청길 48054-683-24261998-01-05정상영업2022-09-30
6970진정숙진영슈퍼경상북도 영양군 영양읍 지역골길 11054-682-21451997-06-03정상영업2022-09-30
7071김세원영남토건경상북도 영양군 석보면 석보로 549054-682-82041987-06-30정상영업2022-09-30
7172일월농협일월농협경상북도 영양군 일월면 영양로 2398054-682-56011985-09-02정상영업2022-09-30
7273석보농협석보농협경상북도 영양군 석보면 원리길 15054-682-76011985-06-30정상영업2022-09-30
7374일월농협일월농협경상북도 영양군 수비면 한티로 488054-682-96011985-06-30정상영업2022-09-30
7475입암농협입암농협경상북도 영양군 입암면 입암로 129-3054-682-46031985-06-30정상영업2022-09-30
7576영양농협농협연쇄점경상북도 영양군 영양읍 중앙로 140054-683-22821985-06-30정상영업2022-09-30
7677오창학대구 세탁소경상북도 영양군 영양읍 중앙로 129-1054-683-22981985-03-25정상영업2022-09-30