Overview

Dataset statistics

Number of variables7
Number of observations152
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory57.9 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description충청북도 증평군 담배소매인 지정현황 업소명 담배소매인 주소 담배소매인 담배소매인 지정일자 담배소매인 데이터기준일등을 제공합니다.
URLhttps://www.data.go.kr/data/15021210/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
NO has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:25:04.197473
Analysis finished2023-12-12 17:25:04.950889
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

NO
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.5
Minimum1
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-13T02:25:05.050583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.55
Q138.75
median76.5
Q3114.25
95-th percentile144.45
Maximum152
Range151
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation44.022721
Coefficient of variation (CV)0.57546041
Kurtosis-1.2
Mean76.5
Median Absolute Deviation (MAD)38
Skewness0
Sum11628
Variance1938
MonotonicityStrictly increasing
2023-12-13T02:25:05.238000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
106 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
107 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
152 1
0.7%
151 1
0.7%
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%

소매인구분
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반소매인
121 
구내소매인
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반소매인 121
79.6%
구내소매인 31
 
20.4%

Length

2023-12-13T02:25:05.414500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:25:05.562601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 121
79.6%
구내소매인 31
 
20.4%

업소명
Text

Distinct151
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T02:25:05.850205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.0921053
Min length2

Characters and Unicode

Total characters1230
Distinct characters261
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique150 ?
Unique (%)98.7%

Sample

1st row지에스25(GS25) 증평삼보점
2nd row주식회사 피노키오
3rd row이마트24 증평늘푸른점
4th row수정낚시
5th rowgs25 증평초중점
ValueCountFrequency (%)
세븐일레븐 12
 
5.8%
gs25 9
 
4.3%
이마트24 6
 
2.9%
씨유 6
 
2.9%
증평송산점 3
 
1.4%
하모니마트 2
 
1.0%
주식회사 2
 
1.0%
증평교동점 2
 
1.0%
증평중앙점 2
 
1.0%
지에스(gs)25 2
 
1.0%
Other values (158) 161
77.8%
2023-12-13T02:25:06.321283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 69
 
5.6%
평 65
 
5.3%
증 64
 
5.2%
55
 
4.5%
마 36
 
2.9%
2 31
 
2.5%
트 31
 
2.5%
븐 31
 
2.5%
5 21
 
1.7%
유 20
 
1.6%
Other values (251) 807
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1000
81.3%
Decimal Number 73
 
5.9%
Uppercase Letter 56
 
4.6%
Space Separator 55
 
4.5%
Open Punctuation 20
 
1.6%
Close Punctuation 20
 
1.6%
Other Punctuation 3
 
0.2%
Lowercase Letter 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 69
 
6.9%
평 65
 
6.5%
증 64
 
6.4%
마 36
 
3.6%
트 31
 
3.1%
븐 31
 
3.1%
유 20
 
2.0%
일 20
 
2.0%
씨 18
 
1.8%
레 17
 
1.7%
Other values (225) 629
62.9%
Uppercase Letter
ValueCountFrequency (%)
S 18
32.1%
G 17
30.4%
C 8
14.3%
U 6
 
10.7%
D 2
 
3.6%
M 1
 
1.8%
E 1
 
1.8%
L 1
 
1.8%
H 1
 
1.8%
R 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 31
42.5%
5 21
28.8%
4 7
 
9.6%
3 5
 
6.8%
1 5
 
6.8%
7 3
 
4.1%
9 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
? 1
33.3%
. 1
33.3%
& 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
g 1
50.0%
s 1
50.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1000
81.3%
Common 172
 
14.0%
Latin 58
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 69
 
6.9%
평 65
 
6.5%
증 64
 
6.4%
마 36
 
3.6%
트 31
 
3.1%
븐 31
 
3.1%
유 20
 
2.0%
일 20
 
2.0%
씨 18
 
1.8%
레 17
 
1.7%
Other values (225) 629
62.9%
Common
ValueCountFrequency (%)
55
32.0%
2 31
18.0%
5 21
 
12.2%
( 20
 
11.6%
) 20
 
11.6%
4 7
 
4.1%
3 5
 
2.9%
1 5
 
2.9%
7 3
 
1.7%
9 1
 
0.6%
Other values (4) 4
 
2.3%
Latin
ValueCountFrequency (%)
S 18
31.0%
G 17
29.3%
C 8
13.8%
U 6
 
10.3%
D 2
 
3.4%
M 1
 
1.7%
g 1
 
1.7%
s 1
 
1.7%
E 1
 
1.7%
L 1
 
1.7%
Other values (2) 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1000
81.3%
ASCII 230
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 69
 
6.9%
평 65
 
6.5%
증 64
 
6.4%
마 36
 
3.6%
트 31
 
3.1%
븐 31
 
3.1%
유 20
 
2.0%
일 20
 
2.0%
씨 18
 
1.8%
레 17
 
1.7%
Other values (225) 629
62.9%
ASCII
ValueCountFrequency (%)
55
23.9%
2 31
13.5%
5 21
 
9.1%
( 20
 
8.7%
) 20
 
8.7%
S 18
 
7.8%
G 17
 
7.4%
C 8
 
3.5%
4 7
 
3.0%
U 6
 
2.6%
Other values (16) 27
11.7%

업소지번주소
Text

Distinct142
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T02:25:06.674070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length23.611842
Min length7

Characters and Unicode

Total characters3589
Distinct characters129
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

Unique139 ?
Unique (%)91.4%

Sample

1st row충청북도 증평군 증평읍 초중리 8-1
2nd row충청북도 증평군 증평읍 장동리 794
3rd row충청북도 증평군 증평읍 남하리 7-5
4th row충청북도 증평군 증평읍 장동리 251
5th row충청북도 증평군 증평읍 초중리 561-5
ValueCountFrequency (%)
충청북도 143
17.1%
증평군 139
16.6%
증평읍 134
16.0%
초중리 25
 
3.0%
연탄리 16
 
1.9%
1호 16
 
1.9%
송산리 15
 
1.8%
장동리 14
 
1.7%
신동리 11
 
1.3%
교동리 11
 
1.3%
Other values (217) 314
37.5%
2023-12-13T02:25:07.147334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
695
19.4%
증 287
 
8.0%
평 282
 
7.9%
도 155
 
4.3%
북 143
 
4.0%
충 143
 
4.0%
청 143
 
4.0%
군 143
 
4.0%
리 142
 
4.0%
읍 134
 
3.7%
Other values (119) 1322
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2344
65.3%
Space Separator 695
 
19.4%
Decimal Number 525
 
14.6%
Dash Punctuation 19
 
0.5%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
증 287
12.2%
평 282
12.0%
도 155
 
6.6%
북 143
 
6.1%
충 143
 
6.1%
청 143
 
6.1%
군 143
 
6.1%
리 142
 
6.1%
읍 134
 
5.7%
지 106
 
4.5%
Other values (103) 666
28.4%
Decimal Number
ValueCountFrequency (%)
1 106
20.2%
5 62
11.8%
2 57
10.9%
3 49
9.3%
7 47
9.0%
6 43
8.2%
0 42
 
8.0%
4 42
 
8.0%
8 40
 
7.6%
9 37
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
695
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2344
65.3%
Common 1243
34.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
증 287
12.2%
평 282
12.0%
도 155
 
6.6%
북 143
 
6.1%
충 143
 
6.1%
청 143
 
6.1%
군 143
 
6.1%
리 142
 
6.1%
읍 134
 
5.7%
지 106
 
4.5%
Other values (103) 666
28.4%
Common
ValueCountFrequency (%)
695
55.9%
1 106
 
8.5%
5 62
 
5.0%
2 57
 
4.6%
3 49
 
3.9%
7 47
 
3.8%
6 43
 
3.5%
0 42
 
3.4%
4 42
 
3.4%
8 40
 
3.2%
Other values (4) 60
 
4.8%
Latin
ValueCountFrequency (%)
K 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2344
65.3%
ASCII 1245
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
695
55.8%
1 106
 
8.5%
5 62
 
5.0%
2 57
 
4.6%
3 49
 
3.9%
7 47
 
3.8%
6 43
 
3.5%
0 42
 
3.4%
4 42
 
3.4%
8 40
 
3.2%
Other values (6) 62
 
5.0%
Hangul
ValueCountFrequency (%)
증 287
12.2%
평 282
12.0%
도 155
 
6.6%
북 143
 
6.1%
충 143
 
6.1%
청 143
 
6.1%
군 143
 
6.1%
리 142
 
6.1%
읍 134
 
5.7%
지 106
 
4.5%
Other values (103) 666
28.4%

업소도로명주소
Text

Distinct134
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-13T02:25:07.431153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length21.947368
Min length7

Characters and Unicode

Total characters3336
Distinct characters159
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)86.8%

Sample

1st row충청북도 증평군 증평읍 삼보로 112
2nd row충청북도 증평군 증평읍 증평로 38
3rd row충청북도 증평군 증평읍 초정약수로 1517
4th row충청북도 증평군 증평읍 증평로 19
5th row충청북도 증평군 증평읍 초중로 104
ValueCountFrequency (%)
충청북도 134
17.2%
증평군 134
17.2%
증평읍 126
16.1%
데이터 18
 
2.3%
미집계 18
 
2.3%
1층 12
 
1.5%
장뜰로 10
 
1.3%
광장로 9
 
1.2%
중앙로 9
 
1.2%
중부로 9
 
1.2%
Other values (204) 302
38.7%
2023-12-13T02:25:07.865369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
629
18.9%
평 273
 
8.2%
증 272
 
8.2%
도 143
 
4.3%
북 138
 
4.1%
충 136
 
4.1%
청 136
 
4.1%
1 134
 
4.0%
군 134
 
4.0%
읍 126
 
3.8%
Other values (149) 1215
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2126
63.7%
Space Separator 629
 
18.9%
Decimal Number 473
 
14.2%
Other Punctuation 39
 
1.2%
Open Punctuation 21
 
0.6%
Close Punctuation 21
 
0.6%
Dash Punctuation 18
 
0.5%
Uppercase Letter 8
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 273
12.8%
증 272
12.8%
도 143
 
6.7%
북 138
 
6.5%
충 136
 
6.4%
청 136
 
6.4%
군 134
 
6.3%
읍 126
 
5.9%
로 111
 
5.2%
중 44
 
2.1%
Other values (126) 613
28.8%
Decimal Number
ValueCountFrequency (%)
1 134
28.3%
2 55
11.6%
0 54
11.4%
4 43
 
9.1%
3 40
 
8.5%
5 39
 
8.2%
8 29
 
6.1%
6 28
 
5.9%
9 27
 
5.7%
7 24
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
25.0%
T 1
12.5%
A 1
12.5%
R 1
12.5%
M 1
12.5%
D 1
12.5%
K 1
12.5%
Space Separator
ValueCountFrequency (%)
629
100.0%
Other Punctuation
ValueCountFrequency (%)
. 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2126
63.7%
Common 1202
36.0%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 273
12.8%
증 272
12.8%
도 143
 
6.7%
북 138
 
6.5%
충 136
 
6.4%
청 136
 
6.4%
군 134
 
6.3%
읍 126
 
5.9%
로 111
 
5.2%
중 44
 
2.1%
Other values (126) 613
28.8%
Common
ValueCountFrequency (%)
629
52.3%
1 134
 
11.1%
2 55
 
4.6%
0 54
 
4.5%
4 43
 
3.6%
3 40
 
3.3%
. 39
 
3.2%
5 39
 
3.2%
8 29
 
2.4%
6 28
 
2.3%
Other values (6) 112
 
9.3%
Latin
ValueCountFrequency (%)
S 2
25.0%
T 1
12.5%
A 1
12.5%
R 1
12.5%
M 1
12.5%
D 1
12.5%
K 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2126
63.7%
ASCII 1210
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
629
52.0%
1 134
 
11.1%
2 55
 
4.5%
0 54
 
4.5%
4 43
 
3.6%
3 40
 
3.3%
. 39
 
3.2%
5 39
 
3.2%
8 29
 
2.4%
6 28
 
2.3%
Other values (13) 120
 
9.9%
Hangul
ValueCountFrequency (%)
평 273
12.8%
증 272
12.8%
도 143
 
6.7%
북 138
 
6.5%
충 136
 
6.4%
청 136
 
6.4%
군 134
 
6.3%
읍 126
 
5.9%
로 111
 
5.2%
중 44
 
2.1%
Other values (126) 613
28.8%

지정일자
Date

Distinct146
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum1980-02-14 00:00:00
Maximum2023-04-04 00:00:00
2023-12-13T02:25:08.000810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:25:08.162973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-04-25
152 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-25
2nd row2023-04-25
3rd row2023-04-25
4th row2023-04-25
5th row2023-04-25

Common Values

ValueCountFrequency (%)
2023-04-25 152
100.0%

Length

2023-12-13T02:25:08.333888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:25:08.447644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-25 152
100.0%

Interactions

2023-12-13T02:25:04.611509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:25:08.511880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO소매인구분
NO1.0000.139
소매인구분0.1391.000
2023-12-13T02:25:08.597888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
NO소매인구분
NO1.0000.102
소매인구분0.1021.000

Missing values

2023-12-13T02:25:04.772920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:25:04.901532image/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

NO소매인구분업소명업소지번주소업소도로명주소지정일자데이터기준일자
01일반소매인지에스25(GS25) 증평삼보점충청북도 증평군 증평읍 초중리 8-1충청북도 증평군 증평읍 삼보로 1122023-04-042023-04-25
12일반소매인주식회사 피노키오충청북도 증평군 증평읍 장동리 794충청북도 증평군 증평읍 증평로 382023-03-302023-04-25
23일반소매인이마트24 증평늘푸른점충청북도 증평군 증평읍 남하리 7-5충청북도 증평군 증평읍 초정약수로 15172023-03-142023-04-25
34일반소매인수정낚시충청북도 증평군 증평읍 장동리 251충청북도 증평군 증평읍 증평로 192023-01-262023-04-25
45일반소매인gs25 증평초중점충청북도 증평군 증평읍 초중리 561-5충청북도 증평군 증평읍 초중로 1042023-01-052023-04-25
56일반소매인GS25 증평송산행복점충청북도 증평군 증평읍 송산리 722충청북도 증평군 증평읍 송산로 30. S001동 104호2022-11-102023-04-25
67일반소매인씨유(CU)증평스쿨점충청북도 증평군 증평읍 장동리 851충청북도 증평군 증평읍 문화로 412022-10-042023-04-25
78구내소매인세븐일레븐 증평한라점충청북도 증평군 증평읍 초중리 591-3충청북도 증평군 증평읍 초중6길 19. 102호2022-09-282023-04-25
89일반소매인물레방아 휴게소 한식 뷔페충청북도 증평군 도안면 송정리 131-2 물레방아휴게소충청북도 증평군 도안면 충청대로 2475. 물레방아휴게소2022-09-072023-04-25
910일반소매인이(E)-마켓충청북도 증평군 증평읍 초중리 592-8 황금빌딩충청북도 증평군 증평읍 초중로 16. 황금빌딩 1층 102호2022-09-072023-04-25
NO소매인구분업소명업소지번주소업소도로명주소지정일자데이터기준일자
142143일반소매인가나안주유소충청북도 괴산군 증평읍 연탄리 387번지 1 호데이터 미집계1992-11-262023-04-25
143144일반소매인복지단대전21구대29피엑스파견대충청북도 괴산군 증평읍 연탄리 50호데이터 미집계1995-11-272023-04-25
144145일반소매인부기슈퍼충청북도 증평군 증평읍 교동리 31번지 2호충청북도 증평군 증평읍 중앙로 2251980-02-142023-04-25
145146일반소매인대일마켓충청북도 증평군 증평읍 중동리 1번지 3호충청북도 증평군 증평읍 광장로 921998-11-042023-04-25
146147일반소매인민우상회충청북도 증평군 증평읍 신동리 46번지충청북도 증평군 증평읍 장뜰로 391986-04-182023-04-25
147148일반소매인금성부동산충청북도 증평군 증평읍 창동리 727번지데이터 미집계1999-01-132023-04-25
148149일반소매인털보네슈퍼충청북도 증평군 증평읍 창동리 270번지충청북도 증평군 증평읍 삼보로5길 331997-12-082023-04-25
149150일반소매인훈이네슈퍼충청북도 괴산군 증평읍 증평리 944번지 8호데이터 미집계1992-02-152023-04-25
150151구내소매인증평농협 중앙지점충청북도 증평군 증평읍 창동리 118 증평농협중앙지점충청북도 증평군 증평읍 중앙로 191. 증평농협중앙지점1984-06-302023-04-25
151152일반소매인증평터미널충청북도 증평군 증평읍 교동리 25번지 2호충청북도 증평군 증평읍 광장로 891998-11-132023-04-25