Overview

Dataset statistics

Number of variables9
Number of observations329
Missing cells44
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.9 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
위도 has 22 (6.7%) missing valuesMissing
경도 has 22 (6.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:34:41.994683
Analysis finished2023-12-10 23:34:43.067664
Duration1.07 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
329 

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 329
100.0%

Length

2023-12-11T08:34:43.131453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:34:43.217479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
거창군 329
100.0%
Distinct274
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T08:34:43.389356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length6.3586626
Min length1

Characters and Unicode

Total characters2092
Distinct characters317
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

Unique270 ?
Unique (%)82.1%

Sample

1st row(주) 거창주방
2nd row송정마트
3rd row미강 영일이삼
4th row행복로또판매점.복권공인중개사사무소
5th row해바라기
ValueCountFrequency (%)
없음 52
 
12.4%
씨유 12
 
2.9%
이마트24 9
 
2.1%
세븐일레븐 9
 
2.1%
gs25 6
 
1.4%
거창 4
 
1.0%
하나로마트 4
 
1.0%
주식회사 4
 
1.0%
거창점 3
 
0.7%
거창중앙점 3
 
0.7%
Other values (302) 313
74.7%
2023-12-11T08:34:43.747095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
4.6%
92
 
4.4%
91
 
4.3%
88
 
4.2%
59
 
2.8%
55
 
2.6%
55
 
2.6%
52
 
2.5%
31
 
1.5%
30
 
1.4%
Other values (307) 1443
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1852
88.5%
Space Separator 96
 
4.6%
Decimal Number 54
 
2.6%
Uppercase Letter 43
 
2.1%
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 (%)
92
 
5.0%
91
 
4.9%
88
 
4.8%
59
 
3.2%
55
 
3.0%
55
 
3.0%
52
 
2.8%
31
 
1.7%
30
 
1.6%
30
 
1.6%
Other values (276) 1269
68.5%
Uppercase Letter
ValueCountFrequency (%)
G 13
30.2%
S 12
27.9%
U 4
 
9.3%
C 4
 
9.3%
R 2
 
4.7%
O 2
 
4.7%
A 1
 
2.3%
J 1
 
2.3%
L 1
 
2.3%
N 1
 
2.3%
Other values (2) 2
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
14.3%
g 1
14.3%
a 1
14.3%
n 1
14.3%
o 1
14.3%
c 1
14.3%
u 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 26
48.1%
4 12
22.2%
5 12
22.2%
1 2
 
3.7%
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 1852
88.5%
Common 190
 
9.1%
Latin 50
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
92
 
5.0%
91
 
4.9%
88
 
4.8%
59
 
3.2%
55
 
3.0%
55
 
3.0%
52
 
2.8%
31
 
1.7%
30
 
1.6%
30
 
1.6%
Other values (276) 1269
68.5%
Latin
ValueCountFrequency (%)
G 13
26.0%
S 12
24.0%
U 4
 
8.0%
C 4
 
8.0%
R 2
 
4.0%
O 2
 
4.0%
A 1
 
2.0%
s 1
 
2.0%
g 1
 
2.0%
J 1
 
2.0%
Other values (9) 9
18.0%
Common
ValueCountFrequency (%)
96
50.5%
2 26
 
13.7%
( 18
 
9.5%
) 18
 
9.5%
4 12
 
6.3%
5 12
 
6.3%
1 2
 
1.1%
. 2
 
1.1%
3 1
 
0.5%
6 1
 
0.5%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1852
88.5%
ASCII 240
 
11.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
40.0%
2 26
 
10.8%
( 18
 
7.5%
) 18
 
7.5%
G 13
 
5.4%
4 12
 
5.0%
5 12
 
5.0%
S 12
 
5.0%
U 4
 
1.7%
C 4
 
1.7%
Other values (21) 25
 
10.4%
Hangul
ValueCountFrequency (%)
92
 
5.0%
91
 
4.9%
88
 
4.8%
59
 
3.2%
55
 
3.0%
55
 
3.0%
52
 
2.8%
31
 
1.7%
30
 
1.6%
30
 
1.6%
Other values (276) 1269
68.5%
Distinct313
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T08:34:44.106405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length33
Mean length21.161094
Min length18

Characters and Unicode

Total characters6962
Distinct characters151
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

Unique297 ?
Unique (%)90.3%

Sample

1st row경상남도 거창군 거창읍 송정4길 5
2nd row경상남도 거창군 거창읍 강남로1길 96. 송정마트 1층
3rd row경상남도 거창군 거창읍 송정1길 132. 1층
4th row경상남도 거창군 거창읍 중앙로 139. 1층
5th row경상남도 거창군 가조면 의상봉길 614
ValueCountFrequency (%)
경상남도 329
19.8%
거창군 329
19.8%
거창읍 225
 
13.6%
가조면 23
 
1.4%
중앙로 18
 
1.1%
강남로 17
 
1.0%
거창대로 14
 
0.8%
마리면 14
 
0.8%
위천면 12
 
0.7%
거열로 12
 
0.7%
Other values (386) 667
40.2%
2023-12-11T08:34:44.630378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1331
19.1%
621
 
8.9%
584
 
8.4%
378
 
5.4%
364
 
5.2%
331
 
4.8%
330
 
4.7%
329
 
4.7%
1 271
 
3.9%
225
 
3.2%
Other values (141) 2198
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4460
64.1%
Space Separator 1331
 
19.1%
Decimal Number 1075
 
15.4%
Dash Punctuation 75
 
1.1%
Other Punctuation 12
 
0.2%
Uppercase Letter 7
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
621
13.9%
584
13.1%
378
8.5%
364
 
8.2%
331
 
7.4%
330
 
7.4%
329
 
7.4%
225
 
5.0%
208
 
4.7%
166
 
3.7%
Other values (120) 924
20.7%
Decimal Number
ValueCountFrequency (%)
1 271
25.2%
2 152
14.1%
4 127
11.8%
3 107
 
10.0%
5 94
 
8.7%
7 79
 
7.3%
6 70
 
6.5%
0 61
 
5.7%
8 60
 
5.6%
9 54
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
Y 2
28.6%
K 1
14.3%
I 1
14.3%
C 1
14.3%
T 1
14.3%
S 1
14.3%
Space Separator
ValueCountFrequency (%)
1331
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4460
64.1%
Common 2495
35.8%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
621
13.9%
584
13.1%
378
8.5%
364
 
8.2%
331
 
7.4%
330
 
7.4%
329
 
7.4%
225
 
5.0%
208
 
4.7%
166
 
3.7%
Other values (120) 924
20.7%
Common
ValueCountFrequency (%)
1331
53.3%
1 271
 
10.9%
2 152
 
6.1%
4 127
 
5.1%
3 107
 
4.3%
5 94
 
3.8%
7 79
 
3.2%
- 75
 
3.0%
6 70
 
2.8%
0 61
 
2.4%
Other values (5) 128
 
5.1%
Latin
ValueCountFrequency (%)
Y 2
28.6%
K 1
14.3%
I 1
14.3%
C 1
14.3%
T 1
14.3%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4460
64.1%
ASCII 2502
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1331
53.2%
1 271
 
10.8%
2 152
 
6.1%
4 127
 
5.1%
3 107
 
4.3%
5 94
 
3.8%
7 79
 
3.2%
- 75
 
3.0%
6 70
 
2.8%
0 61
 
2.4%
Other values (11) 135
 
5.4%
Hangul
ValueCountFrequency (%)
621
13.9%
584
13.1%
378
8.5%
364
 
8.2%
331
 
7.4%
330
 
7.4%
329
 
7.4%
225
 
5.0%
208
 
4.7%
166
 
3.7%
Other values (120) 924
20.7%
Distinct310
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T08:34:45.006188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length22.06383
Min length19

Characters and Unicode

Total characters7259
Distinct characters129
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

Unique291 ?
Unique (%)88.4%

Sample

1st row경상남도 거창군 거창읍 송정리 1117-4
2nd row경상남도 거창군 거창읍 송정리 211-1 송정슈퍼
3rd row경상남도 거창군 거창읍 송정리 1119-1
4th row경상남도 거창군 거창읍 중앙리 132-4 헌트인너헤어
5th row경상남도 거창군 가조면 수월리 산 11-15
ValueCountFrequency (%)
경상남도 329
19.7%
거창군 329
19.7%
거창읍 225
13.5%
대동리 59
 
3.5%
중앙리 43
 
2.6%
상림리 43
 
2.6%
대평리 25
 
1.5%
가조면 23
 
1.4%
김천리 22
 
1.3%
송정리 19
 
1.1%
Other values (377) 551
33.0%
2023-12-11T08:34:45.547575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1339
18.4%
555
 
7.6%
555
 
7.6%
406
 
5.6%
344
 
4.7%
343
 
4.7%
334
 
4.6%
329
 
4.5%
329
 
4.5%
1 292
 
4.0%
Other values (119) 2433
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4351
59.9%
Space Separator 1339
 
18.4%
Decimal Number 1296
 
17.9%
Dash Punctuation 266
 
3.7%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
555
12.8%
555
12.8%
406
9.3%
344
7.9%
343
7.9%
334
7.7%
329
 
7.6%
329
 
7.6%
225
 
5.2%
104
 
2.4%
Other values (101) 827
19.0%
Decimal Number
ValueCountFrequency (%)
1 292
22.5%
2 145
11.2%
5 126
9.7%
3 122
9.4%
7 115
 
8.9%
4 108
 
8.3%
9 108
 
8.3%
8 100
 
7.7%
0 90
 
6.9%
6 90
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
Y 2
28.6%
K 1
14.3%
C 1
14.3%
I 1
14.3%
T 1
14.3%
S 1
14.3%
Space Separator
ValueCountFrequency (%)
1339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 266
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4351
59.9%
Common 2901
40.0%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
555
12.8%
555
12.8%
406
9.3%
344
7.9%
343
7.9%
334
7.7%
329
 
7.6%
329
 
7.6%
225
 
5.2%
104
 
2.4%
Other values (101) 827
19.0%
Common
ValueCountFrequency (%)
1339
46.2%
1 292
 
10.1%
- 266
 
9.2%
2 145
 
5.0%
5 126
 
4.3%
3 122
 
4.2%
7 115
 
4.0%
4 108
 
3.7%
9 108
 
3.7%
8 100
 
3.4%
Other values (2) 180
 
6.2%
Latin
ValueCountFrequency (%)
Y 2
28.6%
K 1
14.3%
C 1
14.3%
I 1
14.3%
T 1
14.3%
S 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4351
59.9%
ASCII 2908
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1339
46.0%
1 292
 
10.0%
- 266
 
9.1%
2 145
 
5.0%
5 126
 
4.3%
3 122
 
4.2%
7 115
 
4.0%
4 108
 
3.7%
9 108
 
3.7%
8 100
 
3.4%
Other values (8) 187
 
6.4%
Hangul
ValueCountFrequency (%)
555
12.8%
555
12.8%
406
9.3%
344
7.9%
343
7.9%
334
7.7%
329
 
7.6%
329
 
7.6%
225
 
5.2%
104
 
2.4%
Other values (101) 827
19.0%

위도
Real number (ℝ)

MISSING 

Distinct291
Distinct (%)94.8%
Missing22
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean35.699494
Minimum35.566617
Maximum35.877256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T08:34:45.687172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.566617
5-th percentile35.671838
Q135.685296
median35.688582
Q335.695233
95-th percentile35.781757
Maximum35.877256
Range0.3106387
Interquartile range (IQR)0.00993665

Descriptive statistics

Standard deviation0.039381574
Coefficient of variation (CV)0.001103141
Kurtosis4.7835145
Mean35.699494
Median Absolute Deviation (MAD)0.0042517
Skewness1.3069227
Sum10959.745
Variance0.0015509084
MonotonicityNot monotonic
2023-12-11T08:34:45.828972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.6854368 3
 
0.9%
35.6871937 2
 
0.6%
35.6797746 2
 
0.6%
35.6862915 2
 
0.6%
35.6868307 2
 
0.6%
35.6870113 2
 
0.6%
35.7646083 2
 
0.6%
35.760055 2
 
0.6%
35.6776423 2
 
0.6%
35.6921943 2
 
0.6%
Other values (281) 286
86.9%
(Missing) 22
 
6.7%
ValueCountFrequency (%)
35.5666172 1
0.3%
35.5685783 1
0.3%
35.5703779 1
0.3%
35.5853376 1
0.3%
35.5857362 1
0.3%
35.6381781 1
0.3%
35.6405493 1
0.3%
35.6438611 1
0.3%
35.6455714 1
0.3%
35.653514 1
0.3%
ValueCountFrequency (%)
35.8772559 1
0.3%
35.872324 1
0.3%
35.8397061 1
0.3%
35.8143206 1
0.3%
35.8135066 1
0.3%
35.8116402 1
0.3%
35.8101937 1
0.3%
35.807868 1
0.3%
35.8066337 1
0.3%
35.8059081 1
0.3%

경도
Real number (ℝ)

MISSING 

Distinct292
Distinct (%)95.1%
Missing22
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean127.91291
Minimum127.71936
Maximum128.05802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-11T08:34:45.994240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.71936
5-th percentile127.83178
Q1127.90685
median127.91312
Q3127.92
95-th percentile128.01649
Maximum128.05802
Range0.3386589
Interquartile range (IQR)0.01314645

Descriptive statistics

Standard deviation0.048827002
Coefficient of variation (CV)0.00038172068
Kurtosis3.6573339
Mean127.91291
Median Absolute Deviation (MAD)0.0064252
Skewness-0.2401092
Sum39269.262
Variance0.0023840761
MonotonicityNot monotonic
2023-12-11T08:34:46.138505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.9163122 2
 
0.6%
127.9110869 2
 
0.6%
127.9235149 2
 
0.6%
127.9140376 2
 
0.6%
127.8706877 2
 
0.6%
127.7446296 2
 
0.6%
127.8340704 2
 
0.6%
127.9104682 2
 
0.6%
127.9084278 2
 
0.6%
127.9101384 2
 
0.6%
Other values (282) 287
87.2%
(Missing) 22
 
6.7%
ValueCountFrequency (%)
127.7193641 1
0.3%
127.7418753 1
0.3%
127.7432815 1
0.3%
127.7446296 2
0.6%
127.7589598 1
0.3%
127.775306 1
0.3%
127.7949485 1
0.3%
127.798167 1
0.3%
127.8052914 1
0.3%
127.8188066 1
0.3%
ValueCountFrequency (%)
128.058023 1
0.3%
128.0569722 1
0.3%
128.0545664 1
0.3%
128.0525535 1
0.3%
128.0408982 1
0.3%
128.0387628 1
0.3%
128.0257123 1
0.3%
128.023103 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
329 

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 329
100.0%

Length

2023-12-11T08:34:46.345926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:34:46.446142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 329
100.0%
Distinct314
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
Minimum1964-07-01 00:00:00
Maximum2022-01-27 00:00:00
2023-12-11T08:34:46.576361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:46.743621image/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
Minimum2022-04-28 00:00:00
Maximum2022-04-28 00:00:00
2023-12-11T08:34:46.869540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:46.964725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:34:42.567262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:42.369027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:42.653438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:34:42.485850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:34:47.040930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.658
경도0.6581.000
2023-12-11T08:34:47.117744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.016
경도-0.0161.000

Missing values

2023-12-11T08:34:42.780664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:34:42.904352image/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.
2023-12-11T08:34:43.021818image/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

시군명업소명도로명주소지번주소위도경도영업구분지정일자데이터기준일
0거창군(주) 거창주방경상남도 거창군 거창읍 송정4길 5경상남도 거창군 거창읍 송정리 1117-4<NA><NA>정상영업2022-01-272022-04-28
1거창군송정마트경상남도 거창군 거창읍 강남로1길 96. 송정마트 1층경상남도 거창군 거창읍 송정리 211-1 송정슈퍼<NA><NA>정상영업2022-01-262022-04-28
2거창군미강 영일이삼경상남도 거창군 거창읍 송정1길 132. 1층경상남도 거창군 거창읍 송정리 1119-1<NA><NA>정상영업2022-01-212022-04-28
3거창군행복로또판매점.복권공인중개사사무소경상남도 거창군 거창읍 중앙로 139. 1층경상남도 거창군 거창읍 중앙리 132-4 헌트인너헤어<NA><NA>정상영업2022-01-172022-04-28
4거창군해바라기경상남도 거창군 가조면 의상봉길 614경상남도 거창군 가조면 수월리 산 11-15<NA><NA>정상영업2021-11-102022-04-28
5거창군유한회사 스카이아림경상남도 거창군 거창읍 수남로 2233. SKYCITY할인점경상남도 거창군 거창읍 김천리 255-11 SKYCITY할인점<NA><NA>정상영업2021-11-012022-04-28
6거창군세븐일레븐 거창송정문화점경상남도 거창군 거창읍 강남로3길 14 (송정문화빌라)경상남도 거창군 거창읍 송정리 56-3 송정문화빌라<NA><NA>정상영업2021-10-182022-04-28
7거창군삼봉치킨경상남도 거창군 고제면 고제로 72경상남도 거창군 고제면 농산리 200-1<NA><NA>정상영업2021-08-312022-04-28
8거창군봉산슈퍼경상남도 거창군 고제면 고제로 621. 봉산슈퍼마켓경상남도 거창군 고제면 봉산리 615-3 봉산슈퍼마켓<NA><NA>정상영업2021-08-262022-04-28
9거창군대현마트경상남도 거창군 거창읍 거열로1길 74경상남도 거창군 거창읍 중앙리 1-8<NA><NA>정상영업2021-08-252022-04-28
시군명업소명도로명주소지번주소위도경도영업구분지정일자데이터기준일
319거창군없음경상남도 거창군 남하면 신기은행길 13-21경상남도 거창군 남하면 지산리 93935.666423127.996259정상영업1972-08-292022-04-28
320거창군없음경상남도 거창군 거창읍 중촌1길 6-9경상남도 거창군 거창읍 가지리 63235.698744127.902431정상영업1972-01-192022-04-28
321거창군없음경상남도 거창군 거창읍 거열로4길 212경상남도 거창군 거창읍 가지리 448-135.697399127.904637정상영업1972-07-012022-04-28
322거창군없음경상남도 거창군 가북면 용암로 16경상남도 거창군 가북면 우혜리 1880-635.762512127.993803정상영업1971-04-302022-04-28
323거창군없음경상남도 거창군 거창읍 수남로 2281-8경상남도 거창군 거창읍 김천리 45635.68229127.911855정상영업1971-11-302022-04-28
324거창군없음경상남도 거창군 위천면 은하리길 10-13경상남도 거창군 위천면 황산리 906-235.760055127.83407정상영업1967-03-062022-04-28
325거창군없음경상남도 거창군 신원면 신차로 3074경상남도 거창군 신원면 과정리 186-235.568578127.925689정상영업1966-07-242022-04-28
326거창군없음경상남도 거창군 남상면 송변1길 203-3경상남도 거창군 남상면 송변리 27935.638178127.923225정상영업1966-07-012022-04-28
327거창군없음경상남도 거창군 웅양면 동호3길 2-18경상남도 거창군 웅양면 동호리 776-235.798431127.924554정상영업1965-07-012022-04-28
328거창군없음경상남도 거창군 남하면 양곡1길 14경상남도 거창군 남하면 무릉리 91435.671253127.943058정상영업1964-07-012022-04-28