Overview

Dataset statistics

Number of variables9
Number of observations325
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.6 KiB
Average record size in memory74.4 B

Variable types

Categorical2
Text3
Numeric2
DateTime2

Dataset

Description경상남도 거창군 담배소매인 지정 현황 데이터로 업소명, 지번주소, 도로명주소, 영업구분, 지정일 등의 항목을 제공합니다.
Author경상남도 거창군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15035540

Alerts

시군명 has constant value ""Constant
영업구분 has constant value ""Constant
데이터기준일 has constant value ""Constant

Reproduction

Analysis started2023-12-10 23:34:34.901520
Analysis finished2023-12-10 23:34:35.957215
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
거창군
325 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
거창군 325
100.0%

Length

2023-12-11T08:34:36.016667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:34:36.103451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거창군 325
100.0%

업소명
Text

Distinct270
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T08:34:36.290941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length6.3876923
Min length1

Characters and Unicode

Total characters2076
Distinct characters316
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

Unique266 ?
Unique (%)81.8%

Sample

1st row거창탑세일마트
2nd row씨유거창거고점
3rd row카페 서울
4th row강남로또판매점
5th row영성궁식당
ValueCountFrequency (%)
없음 52
 
12.5%
씨유 12
 
2.9%
이마트24 9
 
2.2%
세븐일레븐 9
 
2.2%
gs25 5
 
1.2%
주식회사 4
 
1.0%
하나로마트 4
 
1.0%
거창 4
 
1.0%
주)코리아세븐 3
 
0.7%
거창점 3
 
0.7%
Other values (299) 310
74.7%
2023-12-11T08:34:36.690269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
4.6%
점 93
 
4.5%
창 91
 
4.4%
거 89
 
4.3%
마 58
 
2.8%
음 55
 
2.6%
트 54
 
2.6%
없 52
 
2.5%
퍼 30
 
1.4%
이 30
 
1.4%
Other values (306) 1428
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1840
88.6%
Space Separator 96
 
4.6%
Decimal Number 52
 
2.5%
Uppercase Letter 41
 
2.0%
Open Punctuation 18
 
0.9%
Close Punctuation 18
 
0.9%
Lowercase Letter 7
 
0.3%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 93
 
5.1%
창 91
 
4.9%
거 89
 
4.8%
마 58
 
3.2%
음 55
 
3.0%
트 54
 
2.9%
없 52
 
2.8%
퍼 30
 
1.6%
이 30
 
1.6%
슈 30
 
1.6%
Other values (275) 1258
68.4%
Uppercase Letter
ValueCountFrequency (%)
G 12
29.3%
S 11
26.8%
U 4
 
9.8%
C 4
 
9.8%
O 2
 
4.9%
R 2
 
4.9%
A 1
 
2.4%
J 1
 
2.4%
F 1
 
2.4%
L 1
 
2.4%
Other values (2) 2
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
g 1
14.3%
u 1
14.3%
c 1
14.3%
a 1
14.3%
n 1
14.3%
s 1
14.3%
o 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 25
48.1%
4 12
23.1%
5 11
21.2%
1 2
 
3.8%
3 1
 
1.9%
6 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
' 1
25.0%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1840
88.6%
Common 188
 
9.1%
Latin 48
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 93
 
5.1%
창 91
 
4.9%
거 89
 
4.8%
마 58
 
3.2%
음 55
 
3.0%
트 54
 
2.9%
없 52
 
2.8%
퍼 30
 
1.6%
이 30
 
1.6%
슈 30
 
1.6%
Other values (275) 1258
68.4%
Latin
ValueCountFrequency (%)
G 12
25.0%
S 11
22.9%
U 4
 
8.3%
C 4
 
8.3%
O 2
 
4.2%
R 2
 
4.2%
A 1
 
2.1%
g 1
 
2.1%
u 1
 
2.1%
c 1
 
2.1%
Other values (9) 9
18.8%
Common
ValueCountFrequency (%)
96
51.1%
2 25
 
13.3%
( 18
 
9.6%
) 18
 
9.6%
4 12
 
6.4%
5 11
 
5.9%
1 2
 
1.1%
. 2
 
1.1%
& 1
 
0.5%
' 1
 
0.5%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1840
88.6%
ASCII 236
 
11.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
40.7%
2 25
 
10.6%
( 18
 
7.6%
) 18
 
7.6%
G 12
 
5.1%
4 12
 
5.1%
S 11
 
4.7%
5 11
 
4.7%
U 4
 
1.7%
C 4
 
1.7%
Other values (21) 25
 
10.6%
Hangul
ValueCountFrequency (%)
점 93
 
5.1%
창 91
 
4.9%
거 89
 
4.8%
마 58
 
3.2%
음 55
 
3.0%
트 54
 
2.9%
없 52
 
2.8%
퍼 30
 
1.6%
이 30
 
1.6%
슈 30
 
1.6%
Other values (275) 1258
68.4%

도로명주소
Text

Distinct308
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T08:34:36.993392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length21.166154
Min length18

Characters and Unicode

Total characters6879
Distinct characters146
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

Unique291 ?
Unique (%)89.5%

Sample

1st row경상남도 거창군 거창읍 동동6길 81
2nd row경상남도 거창군 거창읍 죽전7길 23
3rd row경상남도 거창군 거창읍 상동8길 52
4th row경상남도 거창군 거창읍 거창대로 32
5th row경상남도 거창군 신원면 신차로 3062. 2층
ValueCountFrequency (%)
경상남도 325
19.8%
거창군 325
19.8%
거창읍 223
 
13.6%
가조면 23
 
1.4%
중앙로 17
 
1.0%
강남로 17
 
1.0%
거창대로 15
 
0.9%
마리면 14
 
0.9%
위천면 12
 
0.7%
거열로 12
 
0.7%
Other values (381) 658
40.1%
2023-12-11T08:34:37.436039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1316
19.1%
거 616
 
9.0%
창 579
 
8.4%
남 374
 
5.4%
상 360
 
5.2%
도 327
 
4.8%
군 326
 
4.7%
경 325
 
4.7%
1 270
 
3.9%
읍 223
 
3.2%
Other values (136) 2163
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4403
64.0%
Space Separator 1316
 
19.1%
Decimal Number 1064
 
15.5%
Dash Punctuation 74
 
1.1%
Other Punctuation 13
 
0.2%
Uppercase Letter 7
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 616
14.0%
창 579
13.2%
남 374
8.5%
상 360
 
8.2%
도 327
 
7.4%
군 326
 
7.4%
경 325
 
7.4%
읍 223
 
5.1%
로 207
 
4.7%
길 163
 
3.7%
Other values (115) 903
20.5%
Decimal Number
ValueCountFrequency (%)
1 270
25.4%
2 153
14.4%
4 121
11.4%
3 109
10.2%
5 95
 
8.9%
7 76
 
7.1%
6 67
 
6.3%
8 60
 
5.6%
0 59
 
5.5%
9 54
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
Y 2
28.6%
T 1
14.3%
I 1
14.3%
C 1
14.3%
K 1
14.3%
S 1
14.3%
Space Separator
ValueCountFrequency (%)
1316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Other Punctuation
ValueCountFrequency (%)
. 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4403
64.0%
Common 2469
35.9%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 616
14.0%
창 579
13.2%
남 374
8.5%
상 360
 
8.2%
도 327
 
7.4%
군 326
 
7.4%
경 325
 
7.4%
읍 223
 
5.1%
로 207
 
4.7%
길 163
 
3.7%
Other values (115) 903
20.5%
Common
ValueCountFrequency (%)
1316
53.3%
1 270
 
10.9%
2 153
 
6.2%
4 121
 
4.9%
3 109
 
4.4%
5 95
 
3.8%
7 76
 
3.1%
- 74
 
3.0%
6 67
 
2.7%
8 60
 
2.4%
Other values (5) 128
 
5.2%
Latin
ValueCountFrequency (%)
Y 2
28.6%
T 1
14.3%
I 1
14.3%
C 1
14.3%
K 1
14.3%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4403
64.0%
ASCII 2476
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1316
53.2%
1 270
 
10.9%
2 153
 
6.2%
4 121
 
4.9%
3 109
 
4.4%
5 95
 
3.8%
7 76
 
3.1%
- 74
 
3.0%
6 67
 
2.7%
8 60
 
2.4%
Other values (11) 135
 
5.5%
Hangul
ValueCountFrequency (%)
거 616
14.0%
창 579
13.2%
남 374
8.5%
상 360
 
8.2%
도 327
 
7.4%
군 326
 
7.4%
경 325
 
7.4%
읍 223
 
5.1%
로 207
 
4.7%
길 163
 
3.7%
Other values (115) 903
20.5%

지번주소
Text

Distinct304
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T08:34:37.837338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length22.04
Min length19

Characters and Unicode

Total characters7163
Distinct characters128
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

Unique283 ?
Unique (%)87.1%

Sample

1st row경상남도 거창군 거창읍 대동리 13-3
2nd row경상남도 거창군 거창읍 중앙리 4-8
3rd row경상남도 거창군 거창읍 상림리 91
4th row경상남도 거창군 거창읍 대평리 1131-1
5th row경상남도 거창군 신원면 과정리 173-21
ValueCountFrequency (%)
경상남도 325
19.7%
거창군 325
19.7%
거창읍 223
13.5%
대동리 57
 
3.5%
상림리 43
 
2.6%
중앙리 43
 
2.6%
대평리 26
 
1.6%
가조면 23
 
1.4%
김천리 22
 
1.3%
송정리 18
 
1.1%
Other values (372) 542
32.9%
2023-12-11T08:34:38.360023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1322
18.5%
거 549
 
7.7%
창 549
 
7.7%
상 402
 
5.6%
리 340
 
4.7%
남 339
 
4.7%
도 330
 
4.6%
경 325
 
4.5%
군 325
 
4.5%
1 285
 
4.0%
Other values (118) 2397
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4296
60.0%
Space Separator 1322
 
18.5%
Decimal Number 1276
 
17.8%
Dash Punctuation 262
 
3.7%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 549
12.8%
창 549
12.8%
상 402
9.4%
리 340
7.9%
남 339
7.9%
도 330
7.7%
경 325
7.6%
군 325
7.6%
읍 223
 
5.2%
면 102
 
2.4%
Other values (100) 812
18.9%
Decimal Number
ValueCountFrequency (%)
1 285
22.3%
2 142
11.1%
5 126
9.9%
3 122
9.6%
7 111
 
8.7%
4 109
 
8.5%
9 108
 
8.5%
8 100
 
7.8%
6 89
 
7.0%
0 84
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
Y 2
28.6%
T 1
14.3%
S 1
14.3%
K 1
14.3%
C 1
14.3%
I 1
14.3%
Space Separator
ValueCountFrequency (%)
1322
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4296
60.0%
Common 2860
39.9%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 549
12.8%
창 549
12.8%
상 402
9.4%
리 340
7.9%
남 339
7.9%
도 330
7.7%
경 325
7.6%
군 325
7.6%
읍 223
 
5.2%
면 102
 
2.4%
Other values (100) 812
18.9%
Common
ValueCountFrequency (%)
1322
46.2%
1 285
 
10.0%
- 262
 
9.2%
2 142
 
5.0%
5 126
 
4.4%
3 122
 
4.3%
7 111
 
3.9%
4 109
 
3.8%
9 108
 
3.8%
8 100
 
3.5%
Other values (2) 173
 
6.0%
Latin
ValueCountFrequency (%)
Y 2
28.6%
T 1
14.3%
S 1
14.3%
K 1
14.3%
C 1
14.3%
I 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4296
60.0%
ASCII 2867
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1322
46.1%
1 285
 
9.9%
- 262
 
9.1%
2 142
 
5.0%
5 126
 
4.4%
3 122
 
4.3%
7 111
 
3.9%
4 109
 
3.8%
9 108
 
3.8%
8 100
 
3.5%
Other values (8) 180
 
6.3%
Hangul
ValueCountFrequency (%)
거 549
12.8%
창 549
12.8%
상 402
9.4%
리 340
7.9%
남 339
7.9%
도 330
7.7%
경 325
7.6%
군 325
7.6%
읍 223
 
5.2%
면 102
 
2.4%
Other values (100) 812
18.9%

위도
Real number (ℝ)

Distinct308
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.698885
Minimum35.566617
Maximum35.877256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T08:34:38.491976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.566617
5-th percentile35.670475
Q135.684687
median35.688331
Q335.695069
95-th percentile35.782113
Maximum35.877256
Range0.3106387
Interquartile range (IQR)0.01038138

Descriptive statistics

Standard deviation0.040340441
Coefficient of variation (CV)0.0011300196
Kurtosis5.0154186
Mean35.698885
Median Absolute Deviation (MAD)0.00466161
Skewness1.3061124
Sum11602.138
Variance0.0016273512
MonotonicityNot monotonic
2023-12-11T08:34:38.620026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.67977461 2
 
0.6%
35.67728314 2
 
0.6%
35.69271752 2
 
0.6%
35.68629153 2
 
0.6%
35.67468795 2
 
0.6%
35.68683071 2
 
0.6%
35.76005508 2
 
0.6%
35.68701137 2
 
0.6%
35.76460833 2
 
0.6%
35.69219439 2
 
0.6%
Other values (298) 305
93.8%
ValueCountFrequency (%)
35.56661726 1
0.3%
35.56741992 1
0.3%
35.56857831 1
0.3%
35.57037796 1
0.3%
35.58533769 1
0.3%
35.58573622 1
0.3%
35.63817817 1
0.3%
35.64054935 1
0.3%
35.64386115 1
0.3%
35.64557149 1
0.3%
ValueCountFrequency (%)
35.87725596 1
0.3%
35.87232409 1
0.3%
35.86216483 1
0.3%
35.83970612 1
0.3%
35.81491884 1
0.3%
35.81432061 1
0.3%
35.8135066 1
0.3%
35.81164022 1
0.3%
35.81019377 1
0.3%
35.80786804 1
0.3%

경도
Real number (ℝ)

Distinct308
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.91308
Minimum127.71936
Maximum128.05802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T08:34:38.760290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.71936
5-th percentile127.83215
Q1127.9067
median127.91295
Q3127.91997
95-th percentile128.01655
Maximum128.05802
Range0.3386589
Interquartile range (IQR)0.0132733

Descriptive statistics

Standard deviation0.047362957
Coefficient of variation (CV)0.00037027452
Kurtosis3.7252722
Mean127.91308
Median Absolute Deviation (MAD)0.006602
Skewness-0.12009022
Sum41571.753
Variance0.0022432496
MonotonicityNot monotonic
2023-12-11T08:34:38.882626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.911087 2
 
0.6%
127.9086391 2
 
0.6%
127.9133994 2
 
0.6%
127.9235149 2
 
0.6%
127.8293437 2
 
0.6%
127.9140377 2
 
0.6%
127.8340705 2
 
0.6%
127.8706878 2
 
0.6%
127.7446296 2
 
0.6%
127.9084278 2
 
0.6%
Other values (298) 305
93.8%
ValueCountFrequency (%)
127.7193641 1
0.3%
127.7432815 1
0.3%
127.7446296 2
0.6%
127.7589598 1
0.3%
127.7753061 1
0.3%
127.7949486 1
0.3%
127.7981671 1
0.3%
127.8050614 1
0.3%
127.8052915 1
0.3%
127.8188066 1
0.3%
ValueCountFrequency (%)
128.058023 1
0.3%
128.0569723 1
0.3%
128.0545664 1
0.3%
128.0525536 1
0.3%
128.0408983 1
0.3%
128.0387629 1
0.3%
128.0257123 1
0.3%
128.0231031 1
0.3%
128.0230508 1
0.3%
128.0204807 1
0.3%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
정상영업
325 

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 325
100.0%

Length

2023-12-11T08:34:39.002424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:34:39.083128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 325
100.0%

지정일자
Date

Distinct310
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1964-07-01 00:00:00
Maximum2022-12-26 00:00:00
2023-12-11T08:34:39.181555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:39.361925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum2023-04-05 00:00:00
Maximum2023-04-05 00:00:00
2023-12-11T08:34:39.767239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:39.871905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:34:35.539647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:35.329695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:35.649751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:35.436798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:34:39.938706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.661
경도0.6611.000
2023-12-11T08:34:40.014792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.037
경도-0.0371.000

Missing values

2023-12-11T08:34:35.784557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:34:35.910089image/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

시군명업소명도로명주소지번주소위도경도영업구분지정일자데이터기준일
0거창군거창탑세일마트경상남도 거창군 거창읍 동동6길 81경상남도 거창군 거창읍 대동리 13-335.690736127.923783정상영업2022-12-262023-04-05
1거창군씨유거창거고점경상남도 거창군 거창읍 죽전7길 23경상남도 거창군 거창읍 중앙리 4-835.692718127.913399정상영업2022-11-142023-04-05
2거창군카페 서울경상남도 거창군 거창읍 상동8길 52경상남도 거창군 거창읍 상림리 9135.685957127.907894정상영업2022-08-182023-04-05
3거창군강남로또판매점경상남도 거창군 거창읍 거창대로 32경상남도 거창군 거창읍 대평리 1131-135.684536127.917461정상영업2022-08-042023-04-05
4거창군영성궁식당경상남도 거창군 신원면 신차로 3062. 2층경상남도 거창군 신원면 과정리 173-2135.56742127.925995정상영업2022-07-042023-04-05
5거창군꽃보다청춘경상남도 거창군 가조면 의상봉길 45-36. 1층경상남도 거창군 가조면 마상리 5 제일온천탕35.709248128.017029정상영업2022-04-292023-04-05
6거창군(주) 거창주방경상남도 거창군 거창읍 송정4길 5경상남도 거창군 거창읍 송정리 1117-435.680346127.901901정상영업2022-01-272023-04-05
7거창군송정마트경상남도 거창군 거창읍 강남로1길 96. 송정마트 1층경상남도 거창군 거창읍 송정리 211-1 송정슈퍼35.682184127.90602정상영업2022-01-262023-04-05
8거창군미강 영일이삼경상남도 거창군 거창읍 송정1길 132. 1층경상남도 거창군 거창읍 송정리 1119-135.680542127.904072정상영업2022-01-212023-04-05
9거창군행복로또판매점.복권공인중개사사무소경상남도 거창군 거창읍 중앙로 139. 1층경상남도 거창군 거창읍 중앙리 132-4 헌트인너헤어35.687314127.913563정상영업2022-01-172023-04-05
시군명업소명도로명주소지번주소위도경도영업구분지정일자데이터기준일
315거창군없음경상남도 거창군 거창읍 거열로4길 212경상남도 거창군 거창읍 가지리 448-135.697399127.904637정상영업1972-07-012023-04-05
316거창군없음경상남도 거창군 가조면 도리2길 4-27경상남도 거창군 가조면 도리 122435.70526128.052554정상영업1972-02-222023-04-05
317거창군없음경상남도 거창군 거창읍 중촌1길 6-9경상남도 거창군 거창읍 가지리 63235.698745127.902432정상영업1972-01-192023-04-05
318거창군없음경상남도 거창군 거창읍 수남로 2281-8경상남도 거창군 거창읍 김천리 45635.68229127.911855정상영업1971-11-302023-04-05
319거창군없음경상남도 거창군 가북면 용암로 16경상남도 거창군 가북면 우혜리 1880-635.762512127.993803정상영업1971-04-302023-04-05
320거창군없음경상남도 거창군 위천면 은하리길 10-13경상남도 거창군 위천면 황산리 906-235.760055127.83407정상영업1967-03-062023-04-05
321거창군없음경상남도 거창군 신원면 신차로 3074경상남도 거창군 신원면 과정리 186-235.568578127.925689정상영업1966-07-242023-04-05
322거창군없음경상남도 거창군 남상면 송변1길 203-3경상남도 거창군 남상면 송변리 27935.638178127.923226정상영업1966-07-012023-04-05
323거창군없음경상남도 거창군 웅양면 동호3길 2-18경상남도 거창군 웅양면 동호리 776-235.798431127.924554정상영업1965-07-012023-04-05
324거창군없음경상남도 거창군 남하면 양곡1길 14경상남도 거창군 남하면 무릉리 91435.671253127.943058정상영업1964-07-012023-04-05