Overview

Dataset statistics

Number of variables11
Number of observations504
Missing cells3024
Missing cells (%)54.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.9 KiB
Average record size in memory95.3 B

Variable types

Numeric1
Text4
Unsupported6

Dataset

Description진안군 관내 진안고원행복상품권 가맹점 현황에 대한 데이터로 가맹점명, 대표자, 주소, 업종에 대한 정보를 제공합니다.
Author전라북도 진안군
URLhttps://www.data.go.kr/data/15065459/fileData.do

Alerts

Unnamed: 5 has 504 (100.0%) missing valuesMissing
Unnamed: 6 has 504 (100.0%) missing valuesMissing
Unnamed: 7 has 504 (100.0%) missing valuesMissing
Unnamed: 8 has 504 (100.0%) missing valuesMissing
Unnamed: 9 has 504 (100.0%) missing valuesMissing
Unnamed: 10 has 504 (100.0%) missing valuesMissing
순번 has unique valuesUnique
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 10:09:21.349096
Analysis finished2023-12-12 10:09:22.366118
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct504
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252.5
Minimum1
Maximum504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.6 KiB
2023-12-12T19:09:22.468878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.15
Q1126.75
median252.5
Q3378.25
95-th percentile478.85
Maximum504
Range503
Interquartile range (IQR)251.5

Descriptive statistics

Standard deviation145.63653
Coefficient of variation (CV)0.57677835
Kurtosis-1.2
Mean252.5
Median Absolute Deviation (MAD)126
Skewness0
Sum127260
Variance21210
MonotonicityStrictly increasing
2023-12-12T19:09:22.650734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
333 1
 
0.2%
346 1
 
0.2%
345 1
 
0.2%
344 1
 
0.2%
343 1
 
0.2%
342 1
 
0.2%
341 1
 
0.2%
340 1
 
0.2%
339 1
 
0.2%
Other values (494) 494
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
504 1
0.2%
503 1
0.2%
502 1
0.2%
501 1
0.2%
500 1
0.2%
499 1
0.2%
498 1
0.2%
497 1
0.2%
496 1
0.2%
495 1
0.2%

가맹점명
Text

Distinct501
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T19:09:22.923997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length6.0654762
Min length2

Characters and Unicode

Total characters3057
Distinct characters430
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique498 ?
Unique (%)98.8%

Sample

1st row구구식당
2nd row농산표고
3rd row대광천막
4th row뚝배기
5th row목화이불집
ValueCountFrequency (%)
진안점 7
 
1.2%
진안 6
 
1.0%
홍삼 5
 
0.9%
농업회사법인 3
 
0.5%
흑돼지 3
 
0.5%
마이산 3
 
0.5%
진안고원 2
 
0.3%
정육점 2
 
0.3%
한국관 2
 
0.3%
농산그린마트 2
 
0.3%
Other values (532) 539
93.9%
2023-12-12T19:09:23.378041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 99
 
3.2%
진 98
 
3.2%
마 75
 
2.5%
71
 
2.3%
농 66
 
2.2%
점 59
 
1.9%
이 54
 
1.8%
산 47
 
1.5%
장 45
 
1.5%
사 41
 
1.3%
Other values (420) 2402
78.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2865
93.7%
Space Separator 71
 
2.3%
Close Punctuation 32
 
1.0%
Open Punctuation 32
 
1.0%
Uppercase Letter 23
 
0.8%
Decimal Number 19
 
0.6%
Lowercase Letter 7
 
0.2%
Other Punctuation 6
 
0.2%
Other Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 99
 
3.5%
진 98
 
3.4%
마 75
 
2.6%
농 66
 
2.3%
점 59
 
2.1%
이 54
 
1.9%
산 47
 
1.6%
장 45
 
1.6%
사 41
 
1.4%
회 39
 
1.4%
Other values (385) 2242
78.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
17.4%
F 2
8.7%
O 2
8.7%
A 2
8.7%
H 2
8.7%
Y 2
8.7%
B 2
8.7%
D 1
 
4.3%
N 1
 
4.3%
L 1
 
4.3%
Other values (4) 4
17.4%
Decimal Number
ValueCountFrequency (%)
7 5
26.3%
1 4
21.1%
3 4
21.1%
2 2
 
10.5%
8 2
 
10.5%
5 2
 
10.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
o 1
14.3%
m 1
14.3%
c 1
14.3%
a 1
14.3%
f 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 2
33.3%
& 2
33.3%
? 1
16.7%
, 1
16.7%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2865
93.7%
Common 161
 
5.3%
Latin 30
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 99
 
3.5%
진 98
 
3.4%
마 75
 
2.6%
농 66
 
2.3%
점 59
 
2.1%
이 54
 
1.9%
산 47
 
1.6%
장 45
 
1.6%
사 41
 
1.4%
회 39
 
1.4%
Other values (385) 2242
78.3%
Latin
ValueCountFrequency (%)
C 4
 
13.3%
F 2
 
6.7%
e 2
 
6.7%
O 2
 
6.7%
A 2
 
6.7%
H 2
 
6.7%
Y 2
 
6.7%
B 2
 
6.7%
o 1
 
3.3%
m 1
 
3.3%
Other values (10) 10
33.3%
Common
ValueCountFrequency (%)
71
44.1%
) 32
19.9%
( 32
19.9%
7 5
 
3.1%
1 4
 
2.5%
3 4
 
2.5%
. 2
 
1.2%
2 2
 
1.2%
& 2
 
1.2%
8 2
 
1.2%
Other values (4) 5
 
3.1%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2864
93.7%
ASCII 191
 
6.2%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 99
 
3.5%
진 98
 
3.4%
마 75
 
2.6%
농 66
 
2.3%
점 59
 
2.1%
이 54
 
1.9%
산 47
 
1.6%
장 45
 
1.6%
사 41
 
1.4%
회 39
 
1.4%
Other values (384) 2241
78.2%
ASCII
ValueCountFrequency (%)
71
37.2%
) 32
16.8%
( 32
16.8%
7 5
 
2.6%
C 4
 
2.1%
1 4
 
2.1%
3 4
 
2.1%
. 2
 
1.0%
F 2
 
1.0%
2 2
 
1.0%
Other values (24) 33
17.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

대표자
Text

Distinct457
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T19:09:23.766976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9861111
Min length2

Characters and Unicode

Total characters1505
Distinct characters167
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique434 ?
Unique (%)86.1%

Sample

1st row강남순
2nd row양점자
3rd row장혁
4th row김용란
5th row박순덕
ValueCountFrequency (%)
허남규 16
 
3.2%
신용빈 6
 
1.2%
김영배 6
 
1.2%
손종엽 3
 
0.6%
강산도 3
 
0.6%
공영란 2
 
0.4%
강남순 2
 
0.4%
한태옥 2
 
0.4%
서병호 2
 
0.4%
김인숙 2
 
0.4%
Other values (447) 460
91.3%
2023-12-12T19:09:24.361948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 95
 
6.3%
이 70
 
4.7%
순 58
 
3.9%
정 56
 
3.7%
영 49
 
3.3%
박 46
 
3.1%
경 32
 
2.1%
숙 31
 
2.1%
남 30
 
2.0%
선 29
 
1.9%
Other values (157) 1009
67.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1505
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 95
 
6.3%
이 70
 
4.7%
순 58
 
3.9%
정 56
 
3.7%
영 49
 
3.3%
박 46
 
3.1%
경 32
 
2.1%
숙 31
 
2.1%
남 30
 
2.0%
선 29
 
1.9%
Other values (157) 1009
67.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1505
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 95
 
6.3%
이 70
 
4.7%
순 58
 
3.9%
정 56
 
3.7%
영 49
 
3.3%
박 46
 
3.1%
경 32
 
2.1%
숙 31
 
2.1%
남 30
 
2.0%
선 29
 
1.9%
Other values (157) 1009
67.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1505
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 95
 
6.3%
이 70
 
4.7%
순 58
 
3.9%
정 56
 
3.7%
영 49
 
3.3%
박 46
 
3.1%
경 32
 
2.1%
숙 31
 
2.1%
남 30
 
2.0%
선 29
 
1.9%
Other values (157) 1009
67.0%

가맹점 주소
Text

Distinct398
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T19:09:24.701576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length20.525794
Min length9

Characters and Unicode

Total characters10345
Distinct characters134
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

Unique350 ?
Unique (%)69.4%

Sample

1st row전라북도 진안군 진안읍 시장1길 16
2nd row전라북도 진안군 진안읍 시장1길 16
3rd row전라북도 진안군 진안읍 시장1길 16
4th row전라북도 진안군 진안읍 시장1길 16
5th row전라북도 진안군 진안읍 시장1길 16
ValueCountFrequency (%)
전라북도 461
18.5%
진안군 461
18.5%
진안읍 347
 
13.9%
진무로 111
 
4.5%
시장1길 60
 
2.4%
16 51
 
2.0%
중앙로 40
 
1.6%
마령면 30
 
1.2%
진용로 27
 
1.1%
부귀면 27
 
1.1%
Other values (430) 874
35.1%
2023-12-12T19:09:25.178860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1988
19.2%
진 1019
 
9.9%
안 830
 
8.0%
1 581
 
5.6%
군 477
 
4.6%
전 475
 
4.6%
북 464
 
4.5%
도 461
 
4.5%
라 461
 
4.5%
읍 348
 
3.4%
Other values (124) 3241
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6526
63.1%
Space Separator 1988
 
19.2%
Decimal Number 1679
 
16.2%
Dash Punctuation 133
 
1.3%
Other Punctuation 19
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 1019
15.6%
안 830
12.7%
군 477
 
7.3%
전 475
 
7.3%
북 464
 
7.1%
도 461
 
7.1%
라 461
 
7.1%
읍 348
 
5.3%
로 328
 
5.0%
면 155
 
2.4%
Other values (111) 1508
23.1%
Decimal Number
ValueCountFrequency (%)
1 581
34.6%
2 206
 
12.3%
6 166
 
9.9%
0 152
 
9.1%
3 130
 
7.7%
9 108
 
6.4%
7 100
 
6.0%
4 88
 
5.2%
8 77
 
4.6%
5 71
 
4.2%
Space Separator
ValueCountFrequency (%)
1988
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6526
63.1%
Common 3819
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 1019
15.6%
안 830
12.7%
군 477
 
7.3%
전 475
 
7.3%
북 464
 
7.1%
도 461
 
7.1%
라 461
 
7.1%
읍 348
 
5.3%
로 328
 
5.0%
면 155
 
2.4%
Other values (111) 1508
23.1%
Common
ValueCountFrequency (%)
1988
52.1%
1 581
 
15.2%
2 206
 
5.4%
6 166
 
4.3%
0 152
 
4.0%
- 133
 
3.5%
3 130
 
3.4%
9 108
 
2.8%
7 100
 
2.6%
4 88
 
2.3%
Other values (3) 167
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6526
63.1%
ASCII 3819
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1988
52.1%
1 581
 
15.2%
2 206
 
5.4%
6 166
 
4.3%
0 152
 
4.0%
- 133
 
3.5%
3 130
 
3.4%
9 108
 
2.8%
7 100
 
2.6%
4 88
 
2.3%
Other values (3) 167
 
4.4%
Hangul
ValueCountFrequency (%)
진 1019
15.6%
안 830
12.7%
군 477
 
7.3%
전 475
 
7.3%
북 464
 
7.1%
도 461
 
7.1%
라 461
 
7.1%
읍 348
 
5.3%
로 328
 
5.0%
면 155
 
2.4%
Other values (111) 1508
23.1%

업종
Text

Distinct277
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Memory size4.1 KiB
2023-12-12T19:09:25.492293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length7.547619
Min length2

Characters and Unicode

Total characters3804
Distinct characters230
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique224 ?
Unique (%)44.4%

Sample

1st row일반음식점
2nd row소매(농산물)
3rd row도·소매임대(천막제작,잡화,천막대여)
4th row일반음식점
5th row소매(침구)
ValueCountFrequency (%)
일반음식점 73
 
12.5%
음식점(한식 20
 
3.4%
음식(한식 18
 
3.1%
도소매 13
 
2.2%
및 11
 
1.9%
소매(식잡 9
 
1.5%
등 9
 
1.5%
도소매(유류 8
 
1.4%
음식 7
 
1.2%
서비스(미용실 7
 
1.2%
Other values (291) 408
70.0%
2023-12-12T19:09:26.042226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 339
 
8.9%
) 339
 
8.9%
식 293
 
7.7%
소 239
 
6.3%
매 239
 
6.3%
음 196
 
5.2%
업 146
 
3.8%
점 138
 
3.6%
, 136
 
3.6%
일 88
 
2.3%
Other values (220) 1651
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2904
76.3%
Open Punctuation 339
 
8.9%
Close Punctuation 339
 
8.9%
Other Punctuation 139
 
3.7%
Space Separator 80
 
2.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 293
 
10.1%
소 239
 
8.2%
매 239
 
8.2%
음 196
 
6.7%
업 146
 
5.0%
점 138
 
4.8%
일 88
 
3.0%
반 83
 
2.9%
도 72
 
2.5%
한 56
 
1.9%
Other values (210) 1354
46.6%
Other Punctuation
ValueCountFrequency (%)
, 136
97.8%
/ 1
 
0.7%
· 1
 
0.7%
& 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
P 1
33.3%
L 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 339
100.0%
Close Punctuation
ValueCountFrequency (%)
) 339
100.0%
Space Separator
ValueCountFrequency (%)
80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2904
76.3%
Common 897
 
23.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 293
 
10.1%
소 239
 
8.2%
매 239
 
8.2%
음 196
 
6.7%
업 146
 
5.0%
점 138
 
4.8%
일 88
 
3.0%
반 83
 
2.9%
도 72
 
2.5%
한 56
 
1.9%
Other values (210) 1354
46.6%
Common
ValueCountFrequency (%)
( 339
37.8%
) 339
37.8%
, 136
15.2%
80
 
8.9%
/ 1
 
0.1%
· 1
 
0.1%
& 1
 
0.1%
Latin
ValueCountFrequency (%)
G 1
33.3%
P 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2904
76.3%
ASCII 899
 
23.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 339
37.7%
) 339
37.7%
, 136
15.1%
80
 
8.9%
G 1
 
0.1%
P 1
 
0.1%
L 1
 
0.1%
/ 1
 
0.1%
& 1
 
0.1%
Hangul
ValueCountFrequency (%)
식 293
 
10.1%
소 239
 
8.2%
매 239
 
8.2%
음 196
 
6.7%
업 146
 
5.0%
점 138
 
4.8%
일 88
 
3.0%
반 83
 
2.9%
도 72
 
2.5%
한 56
 
1.9%
Other values (210) 1354
46.6%
None
ValueCountFrequency (%)
· 1
100.0%

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing504
Missing (%)100.0%
Memory size4.6 KiB

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing504
Missing (%)100.0%
Memory size4.6 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing504
Missing (%)100.0%
Memory size4.6 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing504
Missing (%)100.0%
Memory size4.6 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing504
Missing (%)100.0%
Memory size4.6 KiB

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing504
Missing (%)100.0%
Memory size4.6 KiB

Interactions

2023-12-12T19:09:21.944849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T19:09:22.086777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:09:22.289619image/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

순번가맹점명대표자가맹점 주소업종Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10
01구구식당강남순전라북도 진안군 진안읍 시장1길 16일반음식점<NA><NA><NA><NA><NA><NA>
12농산표고양점자전라북도 진안군 진안읍 시장1길 16소매(농산물)<NA><NA><NA><NA><NA><NA>
23대광천막장혁전라북도 진안군 진안읍 시장1길 16도·소매임대(천막제작,잡화,천막대여)<NA><NA><NA><NA><NA><NA>
34뚝배기김용란전라북도 진안군 진안읍 시장1길 16일반음식점<NA><NA><NA><NA><NA><NA>
45목화이불집박순덕전라북도 진안군 진안읍 시장1길 16소매(침구)<NA><NA><NA><NA><NA><NA>
56무궁화 대진 옷집정용순전라북도 진안군 진안읍 시장1길 16소매업(의류,이불)<NA><NA><NA><NA><NA><NA>
67무진장 옷수선정순자전라북도 진안군 진안읍 시장1길 16서비스업(의류수선)<NA><NA><NA><NA><NA><NA>
78미래유통유종철전라북도 진안군 진안읍 시장1길 16소매(외의,문구,운동용품)<NA><NA><NA><NA><NA><NA>
89미래축산강원주전라북도 진안군 진안읍 시장1길 16소매(식육)<NA><NA><NA><NA><NA><NA>
910미영유통곽상조전라북도 진안군 진안읍 시장1길 16소매(건어물,식품잡화)<NA><NA><NA><NA><NA><NA>
순번가맹점명대표자가맹점 주소업종Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10
494495농업회사법인버섯마루유한회사김병수전라북도 진안군 주천면 고래실길 23도소매<NA><NA><NA><NA><NA><NA>
495496운일암휴게실국재근전라북도 진안군 주천면 대불리 76-3소매(식잡,담배)<NA><NA><NA><NA><NA><NA>
496497운일암카페안단테정일기전라북도 진안군 주천면 동상주천로 1729음식점(카페)<NA><NA><NA><NA><NA><NA>
497498진안농협주천지점(자재판매장)허남규전라북도 진안군 주천면 동상주천로 2211금융업,주유소,농자재<NA><NA><NA><NA><NA><NA>
498499만나식당임태형전라북도 진안군 주천면 동상주천로 2212-3음식(한식)<NA><NA><NA><NA><NA><NA>
499500낙원식당전선임전라북도 진안군 주천면 동상주천로 2222-1음식(중국음식)<NA><NA><NA><NA><NA><NA>
500501운장산송어신남정전라북도 진안군 주천면 내처사길 64-14음식및숙박업(기타음식점업)<NA><NA><NA><NA><NA><NA>
501502머루랑다래랑김정순전라북도 진안군 주천면 삼거길 10음식(한식)<NA><NA><NA><NA><NA><NA>
502503영희머리방오순자전라북도 진안군 주천면 동상주천로 2233서비스업(미용업)<NA><NA><NA><NA><NA><NA>
503504진안로컬푸드손종엽전주시 덕진구 동부대로 930도소매(로컬푸드)<NA><NA><NA><NA><NA><NA>