Overview

Dataset statistics

Number of variables8
Number of observations209
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory66.6 B

Variable types

Text3
Categorical1
DateTime2
Numeric2

Dataset

Description경상북도 예천군 관내 담배소매업 지정 현황에 관한 자료입니다.(업소명, 법인구분, 주소, 지정일, 위도, 경도 등)
Author경상북도 예천군
URLhttps://www.data.go.kr/data/15035507/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-04-06 08:38:25.111212
Analysis finished2024-04-06 08:38:28.720261
Duration3.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct175
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-06T17:38:29.248864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length7.1244019
Min length2

Characters and Unicode

Total characters1489
Distinct characters269
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)81.8%

Sample

1st row지에스(GS)25 예천용궁점
2nd row코롱닥스의류교환센터
3rd row지에스더프레시(도청신도시점)
4th row지에스더프레시 도청호명점
5th row브이아이피(VIP) 공인중개사사무소
ValueCountFrequency (%)
잡화 32
 
11.8%
예천농업협동조합 8
 
3.0%
지에스(gs)25 7
 
2.6%
씨유 7
 
2.6%
세븐일레븐 5
 
1.8%
국군복지단 3
 
1.1%
이마트24 3
 
1.1%
매점 3
 
1.1%
대구지원본부 3
 
1.1%
남예천농업협동조합 3
 
1.1%
Other values (191) 197
72.7%
2024-04-06T17:38:30.719369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
천 64
 
4.3%
62
 
4.2%
예 60
 
4.0%
점 58
 
3.9%
화 34
 
2.3%
잡 33
 
2.2%
마 32
 
2.1%
지 31
 
2.1%
트 30
 
2.0%
) 26
 
1.7%
Other values (259) 1059
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1293
86.8%
Space Separator 62
 
4.2%
Decimal Number 43
 
2.9%
Uppercase Letter 41
 
2.8%
Close Punctuation 26
 
1.7%
Open Punctuation 23
 
1.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 64
 
4.9%
예 60
 
4.6%
점 58
 
4.5%
화 34
 
2.6%
잡 33
 
2.6%
마 32
 
2.5%
지 31
 
2.4%
트 30
 
2.3%
퍼 24
 
1.9%
스 23
 
1.8%
Other values (242) 904
69.9%
Uppercase Letter
ValueCountFrequency (%)
G 15
36.6%
S 14
34.1%
C 3
 
7.3%
U 2
 
4.9%
P 2
 
4.9%
I 2
 
4.9%
T 1
 
2.4%
A 1
 
2.4%
V 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
2 22
51.2%
5 15
34.9%
4 5
 
11.6%
1 1
 
2.3%
Space Separator
ValueCountFrequency (%)
62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1293
86.8%
Common 155
 
10.4%
Latin 41
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 64
 
4.9%
예 60
 
4.6%
점 58
 
4.5%
화 34
 
2.6%
잡 33
 
2.6%
마 32
 
2.5%
지 31
 
2.4%
트 30
 
2.3%
퍼 24
 
1.9%
스 23
 
1.8%
Other values (242) 904
69.9%
Latin
ValueCountFrequency (%)
G 15
36.6%
S 14
34.1%
C 3
 
7.3%
U 2
 
4.9%
P 2
 
4.9%
I 2
 
4.9%
T 1
 
2.4%
A 1
 
2.4%
V 1
 
2.4%
Common
ValueCountFrequency (%)
62
40.0%
) 26
16.8%
( 23
 
14.8%
2 22
 
14.2%
5 15
 
9.7%
4 5
 
3.2%
1 1
 
0.6%
/ 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1293
86.8%
ASCII 196
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
천 64
 
4.9%
예 60
 
4.6%
점 58
 
4.5%
화 34
 
2.6%
잡 33
 
2.6%
마 32
 
2.5%
지 31
 
2.4%
트 30
 
2.3%
퍼 24
 
1.9%
스 23
 
1.8%
Other values (242) 904
69.9%
ASCII
ValueCountFrequency (%)
62
31.6%
) 26
13.3%
( 23
 
11.7%
2 22
 
11.2%
G 15
 
7.7%
5 15
 
7.7%
S 14
 
7.1%
4 5
 
2.6%
C 3
 
1.5%
U 2
 
1.0%
Other values (7) 9
 
4.6%

법인구분
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
개인
185 
법인
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 185
88.5%
법인 24
 
11.5%

Length

2024-04-06T17:38:31.104567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:38:31.381249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 185
88.5%
법인 24
 
11.5%

업소지번주소
Text

Distinct206
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-06T17:38:31.942415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length25.354067
Min length1

Characters and Unicode

Total characters5299
Distinct characters214
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)97.6%

Sample

1st row경상북도 예천군 용궁면 읍부리 316-13 용궁당구장
2nd row경상북도 예천군 호명면 산합리 1398 경북도청신도시우방아이유쉘센트럴
3rd row경상북도 예천군 호명면 산합리 1277
4th row경상북도 예천군 호명면 산합리 1400 경북도청신도시우방아이유쉘센텀
5th row경상북도 예천군 호명면 산합리 1398 경북도청신도시우방아이유쉘센트럴
ValueCountFrequency (%)
경상북도 206
 
17.2%
예천군 206
 
17.2%
예천읍 77
 
6.4%
호명면 35
 
2.9%
산합리 30
 
2.5%
1호 19
 
1.6%
남본리 17
 
1.4%
감천면 15
 
1.3%
동본리 13
 
1.1%
2호 13
 
1.1%
Other values (372) 565
47.2%
2024-04-06T17:38:32.899218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1014
19.1%
천 323
 
6.1%
예 291
 
5.5%
도 229
 
4.3%
상 224
 
4.2%
경 222
 
4.2%
북 219
 
4.1%
리 213
 
4.0%
군 207
 
3.9%
1 165
 
3.1%
Other values (204) 2192
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3450
65.1%
Space Separator 1014
 
19.1%
Decimal Number 776
 
14.6%
Dash Punctuation 44
 
0.8%
Uppercase Letter 15
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 323
 
9.4%
예 291
 
8.4%
도 229
 
6.6%
상 224
 
6.5%
경 222
 
6.4%
북 219
 
6.3%
리 213
 
6.2%
군 207
 
6.0%
지 153
 
4.4%
번 141
 
4.1%
Other values (181) 1228
35.6%
Uppercase Letter
ValueCountFrequency (%)
L 2
13.3%
C 2
13.3%
G 2
13.3%
H 2
13.3%
M 1
6.7%
J 1
6.7%
S 1
6.7%
U 1
6.7%
E 1
6.7%
A 1
6.7%
Decimal Number
ValueCountFrequency (%)
1 165
21.3%
2 109
14.0%
3 91
11.7%
4 87
11.2%
5 70
9.0%
8 63
 
8.1%
6 53
 
6.8%
7 48
 
6.2%
9 47
 
6.1%
0 43
 
5.5%
Space Separator
ValueCountFrequency (%)
1014
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3450
65.1%
Common 1834
34.6%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 323
 
9.4%
예 291
 
8.4%
도 229
 
6.6%
상 224
 
6.5%
경 222
 
6.4%
북 219
 
6.3%
리 213
 
6.2%
군 207
 
6.0%
지 153
 
4.4%
번 141
 
4.1%
Other values (181) 1228
35.6%
Common
ValueCountFrequency (%)
1014
55.3%
1 165
 
9.0%
2 109
 
5.9%
3 91
 
5.0%
4 87
 
4.7%
5 70
 
3.8%
8 63
 
3.4%
6 53
 
2.9%
7 48
 
2.6%
9 47
 
2.6%
Other values (2) 87
 
4.7%
Latin
ValueCountFrequency (%)
L 2
13.3%
C 2
13.3%
G 2
13.3%
H 2
13.3%
M 1
6.7%
J 1
6.7%
S 1
6.7%
U 1
6.7%
E 1
6.7%
A 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3450
65.1%
ASCII 1849
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1014
54.8%
1 165
 
8.9%
2 109
 
5.9%
3 91
 
4.9%
4 87
 
4.7%
5 70
 
3.8%
8 63
 
3.4%
6 53
 
2.9%
7 48
 
2.6%
9 47
 
2.5%
Other values (13) 102
 
5.5%
Hangul
ValueCountFrequency (%)
천 323
 
9.4%
예 291
 
8.4%
도 229
 
6.6%
상 224
 
6.5%
경 222
 
6.4%
북 219
 
6.3%
리 213
 
6.2%
군 207
 
6.0%
지 153
 
4.4%
번 141
 
4.1%
Other values (181) 1228
35.6%

업소도로명주소
Text

Distinct203
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-04-06T17:38:33.579216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length51
Mean length24.291866
Min length1

Characters and Unicode

Total characters5077
Distinct characters225
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

Unique201 ?
Unique (%)96.2%

Sample

1st row경상북도 예천군 용궁면 용궁로 102. 용궁당구장
2nd row경상북도 예천군 호명면 행복로 229. 1층 127호 (경북도청신도시우방아이유쉘센트럴)
3rd row경상북도 예천군 호명면 양지2길 4
4th row경상북도 예천군 호명면 검무로 27. 상가동 109-112호 (경북도청신도시우방아이유쉘센텀)
5th row경상북도 예천군 호명면 행복로 229. 상가동 115호 (경북도청신도시우방아이유쉘센트럴)
ValueCountFrequency (%)
경상북도 204
 
17.6%
예천군 204
 
17.6%
예천읍 80
 
6.9%
호명면 35
 
3.0%
시장로 15
 
1.3%
감천면 14
 
1.2%
충효로 14
 
1.2%
1층 14
 
1.2%
효자로 14
 
1.2%
용궁면 13
 
1.1%
Other values (358) 549
47.5%
2024-04-06T17:38:34.776075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
957
18.8%
천 318
 
6.3%
예 297
 
5.8%
도 231
 
4.5%
상 228
 
4.5%
경 224
 
4.4%
1 218
 
4.3%
북 217
 
4.3%
군 206
 
4.1%
로 137
 
2.7%
Other values (215) 2044
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3205
63.1%
Space Separator 957
 
18.8%
Decimal Number 739
 
14.6%
Other Punctuation 69
 
1.4%
Dash Punctuation 47
 
0.9%
Close Punctuation 22
 
0.4%
Open Punctuation 22
 
0.4%
Uppercase Letter 16
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 318
 
9.9%
예 297
 
9.3%
도 231
 
7.2%
상 228
 
7.1%
경 224
 
7.0%
북 217
 
6.8%
군 206
 
6.4%
로 137
 
4.3%
면 124
 
3.9%
읍 82
 
2.6%
Other values (189) 1141
35.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
12.5%
L 2
12.5%
S 2
12.5%
H 2
12.5%
G 2
12.5%
J 1
6.2%
M 1
6.2%
E 1
6.2%
A 1
6.2%
P 1
6.2%
Decimal Number
ValueCountFrequency (%)
1 218
29.5%
2 91
12.3%
0 72
 
9.7%
3 65
 
8.8%
5 63
 
8.5%
4 48
 
6.5%
7 47
 
6.4%
9 47
 
6.4%
6 45
 
6.1%
8 43
 
5.8%
Space Separator
ValueCountFrequency (%)
957
100.0%
Other Punctuation
ValueCountFrequency (%)
. 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3205
63.1%
Common 1856
36.6%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 318
 
9.9%
예 297
 
9.3%
도 231
 
7.2%
상 228
 
7.1%
경 224
 
7.0%
북 217
 
6.8%
군 206
 
6.4%
로 137
 
4.3%
면 124
 
3.9%
읍 82
 
2.6%
Other values (189) 1141
35.6%
Common
ValueCountFrequency (%)
957
51.6%
1 218
 
11.7%
2 91
 
4.9%
0 72
 
3.9%
. 69
 
3.7%
3 65
 
3.5%
5 63
 
3.4%
4 48
 
2.6%
7 47
 
2.5%
- 47
 
2.5%
Other values (5) 179
 
9.6%
Latin
ValueCountFrequency (%)
C 2
12.5%
L 2
12.5%
S 2
12.5%
H 2
12.5%
G 2
12.5%
J 1
6.2%
M 1
6.2%
E 1
6.2%
A 1
6.2%
P 1
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3205
63.1%
ASCII 1872
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
957
51.1%
1 218
 
11.6%
2 91
 
4.9%
0 72
 
3.8%
. 69
 
3.7%
3 65
 
3.5%
5 63
 
3.4%
4 48
 
2.6%
7 47
 
2.5%
- 47
 
2.5%
Other values (16) 195
 
10.4%
Hangul
ValueCountFrequency (%)
천 318
 
9.9%
예 297
 
9.3%
도 231
 
7.2%
상 228
 
7.1%
경 224
 
7.0%
북 217
 
6.8%
군 206
 
6.4%
로 137
 
4.3%
면 124
 
3.9%
읍 82
 
2.6%
Other values (189) 1141
35.6%

지정일자
Date

Distinct185
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum1957-06-10 00:00:00
Maximum2024-01-24 00:00:00
2024-04-06T17:38:35.189586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:35.646418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Real number (ℝ)

Distinct204
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.640258
Minimum36.480697
Maximum37.722447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-06T17:38:36.177551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.480697
5-th percentile36.526269
Q136.579681
median36.64865
Q336.65806
95-th percentile36.74074
Maximum37.722447
Range1.24175
Interquartile range (IQR)0.07837869

Descriptive statistics

Standard deviation0.096734073
Coefficient of variation (CV)0.0026401035
Kurtosis75.032207
Mean36.640258
Median Absolute Deviation (MAD)0.03585653
Skewness6.7650687
Sum7657.8138
Variance0.0093574809
MonotonicityNot monotonic
2024-04-06T17:38:36.865151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.62752442 3
 
1.4%
36.5761321 2
 
1.0%
36.57856991 2
 
1.0%
36.64932197 2
 
1.0%
36.60722 1
 
0.5%
36.60763503 1
 
0.5%
36.65413695 1
 
0.5%
36.67390516 1
 
0.5%
36.60745101 1
 
0.5%
36.77106094 1
 
0.5%
Other values (194) 194
92.8%
ValueCountFrequency (%)
36.48069696 1
0.5%
36.50518118 1
0.5%
36.50709889 1
0.5%
36.50888958 1
0.5%
36.50912488 1
0.5%
36.50938315 1
0.5%
36.50992257 1
0.5%
36.50994961 1
0.5%
36.51170249 1
0.5%
36.51703496 1
0.5%
ValueCountFrequency (%)
37.722447 1
0.5%
36.83285198 1
0.5%
36.82506412 1
0.5%
36.77632001 1
0.5%
36.77213787 1
0.5%
36.77106094 1
0.5%
36.76892492 1
0.5%
36.76043714 1
0.5%
36.75616619 1
0.5%
36.74534748 1
0.5%

경도
Real number (ℝ)

Distinct203
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.4249
Minimum126.97605
Maximum128.58866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-04-06T17:38:37.225374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.97605
5-th percentile128.28273
Q1128.39776
median128.45425
Q3128.47135
95-th percentile128.52019
Maximum128.58866
Range1.6126085
Interquartile range (IQR)0.0735832

Descriptive statistics

Standard deviation0.12118411
Coefficient of variation (CV)0.00094361853
Kurtosis98.338868
Mean128.4249
Median Absolute Deviation (MAD)0.026884
Skewness-8.4032898
Sum26840.804
Variance0.014685589
MonotonicityNot monotonic
2024-04-06T17:38:37.630538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.3558624 3
 
1.4%
128.4899 2
 
1.0%
128.4839099 2
 
1.0%
128.481135 2
 
1.0%
128.4444408 2
 
1.0%
128.2766 1
 
0.5%
128.2755119 1
 
0.5%
128.5081116 1
 
0.5%
128.4668021 1
 
0.5%
128.2821045 1
 
0.5%
Other values (193) 193
92.3%
ValueCountFrequency (%)
126.976051 1
0.5%
128.2696416 1
0.5%
128.2706138 1
0.5%
128.2751561 1
0.5%
128.2755119 1
0.5%
128.2765049 1
0.5%
128.2766 1
0.5%
128.2773071 1
0.5%
128.2785728 1
0.5%
128.2793991 1
0.5%
ValueCountFrequency (%)
128.5886595 1
0.5%
128.5552006 1
0.5%
128.531511 1
0.5%
128.5313618 1
0.5%
128.5282281 1
0.5%
128.52772 1
0.5%
128.5276334 1
0.5%
128.5275828 1
0.5%
128.5272638 1
0.5%
128.5270322 1
0.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2024-03-30 00:00:00
Maximum2024-03-30 00:00:00
2024-04-06T17:38:37.965809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:38.272482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:38:26.682230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:26.231422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:26.912402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:26.446312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:38:38.489973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분위도경도
법인구분1.0000.0000.047
위도0.0001.0000.673
경도0.0470.6731.000
2024-04-06T17:38:38.811265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도법인구분
위도1.0000.2390.000
경도0.2391.0000.077
법인구분0.0000.0771.000

Missing values

2024-04-06T17:38:28.204667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:38:28.592836image/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

업소명법인구분업소지번주소업소도로명주소지정일자위도경도데이터기준일자
0지에스(GS)25 예천용궁점개인경상북도 예천군 용궁면 읍부리 316-13 용궁당구장경상북도 예천군 용궁면 용궁로 102. 용궁당구장2024-01-2436.60722128.27662024-03-30
1코롱닥스의류교환센터개인경상북도 예천군 호명면 산합리 1398 경북도청신도시우방아이유쉘센트럴경상북도 예천군 호명면 행복로 229. 1층 127호 (경북도청신도시우방아이유쉘센트럴)2023-11-1036.57798128.48992024-03-30
2지에스더프레시(도청신도시점)개인경상북도 예천군 호명면 산합리 1277경상북도 예천군 호명면 양지2길 42023-10-2536.57761128.48022024-03-30
3지에스더프레시 도청호명점개인경상북도 예천군 호명면 산합리 1400 경북도청신도시우방아이유쉘센텀경상북도 예천군 호명면 검무로 27. 상가동 109-112호 (경북도청신도시우방아이유쉘센텀)2023-10-1736.57927128.49462024-03-30
4브이아이피(VIP) 공인중개사사무소개인경상북도 예천군 호명면 산합리 1398 경북도청신도시우방아이유쉘센트럴경상북도 예천군 호명면 행복로 229. 상가동 115호 (경북도청신도시우방아이유쉘센트럴)2023-10-0536.57797128.48992024-03-30
5영남명당개인경상북도 예천군 예천읍 남본리 222-180경상북도 예천군 예천읍 시장로 63-12023-08-1636.6549128.45152024-03-30
6지에스25(GS25)예천터미널점개인경상북도 예천군 예천읍 대심리 64-12 신라모텔경상북도 예천군 예천읍 봉덕로 22023-07-1936.64865128.44392024-03-30
7우리상회개인경상북도 예천군 예천읍 우계리 487-2경상북도 예천군 예천읍 충효로 5972023-04-2536.67387128.46592024-03-30
8지에스(GS)25 예천호명타운점개인경상북도 예천군 호명면 산합리 1242경상북도 예천군 호명면 양지1길 232023-03-1736.576384128.4780042024-03-30
9부흥슈퍼개인경상북도 예천군 은풍면 우곡리 136-20경상북도 예천군 은풍면 은풍로 932023-02-0336.745347128.4426682024-03-30
업소명법인구분업소지번주소업소도로명주소지정일자위도경도데이터기준일자
199형제도료개인경상북도 예천군 예천읍 서본리 3번지 1호경상북도 예천군 예천읍 군청앞길 42000-08-3036.656768128.453142024-03-30
200잡화개인경상북도 예천군 예천읍 지내리 267번지경상북도 예천군 예천읍 지내길 712000-08-3036.641445128.4217132024-03-30
201역전이발관개인경상북도 예천군 예천읍 서본리 212번지 22호경상북도 예천군 예천읍 역전길 6-12000-08-3036.648241128.4446112024-03-30
202대구수퍼개인경상북도 예천군 예천읍 서본리 38번지 1호경상북도 예천군 예천읍 군청길 15-112000-08-3036.656932128.4508792024-03-30
203동신자전거개인경상북도 예천군 예천읍 남본리 177번지 1호경상북도 예천군 예천읍 중앙로 77-11985-01-0136.652228128.4559522024-03-30
204만성상회개인경상북도 예천군 예천읍 동본리 438번지 4호경상북도 예천군 예천읍 한천길 351980-01-0136.656394128.4595472024-03-30
205잡화상개인경상북도 예천군 예천읍 남본리 240호경상북도 예천군 예천읍 효자로 351993-10-1336.654633128.4482472024-03-30
206예천개인경상북도 예천군 감천면 관현리 1번지 1호2000-09-2336.725053128.494372024-03-30
207잡화개인경상북도 예천군 개포면 우감리 533호경상북도 예천군 개포면 용개로 1091-81999-12-1336.612793128.3713912024-03-30
208코사마트용궁동부점개인경상북도 예천군 용궁면 읍부리 291번지경상북도 예천군 용궁면 용궁로 1291992-08-2936.607689128.2793992024-03-30