Overview

Dataset statistics

Number of variables8
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory71.7 B

Variable types

Numeric2
Categorical1
Text4
DateTime1

Dataset

Description충청북도 음성군의 착한가격업소에 대한 데이터로 업종,업소명, 주소,연락처, 대표 품목에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3063953/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연 번 has unique valuesUnique
업소명 has unique valuesUnique
주 소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:10:44.411818
Analysis finished2023-12-12 13:10:45.487520
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연 번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T22:10:45.576541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-12T22:10:45.719136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

업 종
Categorical

Distinct8
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
한식
12 
중식
4 
미용업
2 
기타요식업
 
1
숙박업
 
1
Other values (3)
3 

Length

Max length6
Median length2
Mean length2.4782609
Min length2

Unique

Unique5 ?
Unique (%)21.7%

Sample

1st row기타요식업
2nd row미용업
3rd row미용업
4th row중식
5th row중식

Common Values

ValueCountFrequency (%)
한식 12
52.2%
중식 4
 
17.4%
미용업 2
 
8.7%
기타요식업 1
 
4.3%
숙박업 1
 
4.3%
일식 1
 
4.3%
목욕업 1
 
4.3%
기타비요식업 1
 
4.3%

Length

2023-12-12T22:10:45.903575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:10:46.075767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 12
52.2%
중식 4
 
17.4%
미용업 2
 
8.7%
기타요식업 1
 
4.3%
숙박업 1
 
4.3%
일식 1
 
4.3%
목욕업 1
 
4.3%
기타비요식업 1
 
4.3%

업소명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T22:10:46.299720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5
Min length2

Characters and Unicode

Total characters115
Distinct characters88
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row커피홀릭
2nd row씨헤어클럽
3rd row윤정미용실
4th row삼거리반점
5th row품바옛날짜장
ValueCountFrequency (%)
커피홀릭 1
 
4.3%
일송송어 1
 
4.3%
개나리휴사우나 1
 
4.3%
쉐농 1
 
4.3%
풍미식당 1
 
4.3%
왕장정육식당 1
 
4.3%
감곡식당 1
 
4.3%
국화식당 1
 
4.3%
토종마을 1
 
4.3%
개미반점 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T22:10:46.687763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 5
 
4.3%
식 5
 
4.3%
미 3
 
2.6%
리 3
 
2.6%
밥 2
 
1.7%
점 2
 
1.7%
반 2
 
1.7%
두 2
 
1.7%
송 2
 
1.7%
나 2
 
1.7%
Other values (78) 87
75.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 112
97.4%
Uppercase Letter 3
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 5
 
4.5%
식 5
 
4.5%
미 3
 
2.7%
리 3
 
2.7%
밥 2
 
1.8%
점 2
 
1.8%
반 2
 
1.8%
두 2
 
1.8%
송 2
 
1.8%
나 2
 
1.8%
Other values (75) 84
75.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
E 1
33.3%
Y 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 112
97.4%
Latin 3
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 5
 
4.5%
식 5
 
4.5%
미 3
 
2.7%
리 3
 
2.7%
밥 2
 
1.8%
점 2
 
1.8%
반 2
 
1.8%
두 2
 
1.8%
송 2
 
1.8%
나 2
 
1.8%
Other values (75) 84
75.0%
Latin
ValueCountFrequency (%)
S 1
33.3%
E 1
33.3%
Y 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 112
97.4%
ASCII 3
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 5
 
4.5%
식 5
 
4.5%
미 3
 
2.7%
리 3
 
2.7%
밥 2
 
1.8%
점 2
 
1.8%
반 2
 
1.8%
두 2
 
1.8%
송 2
 
1.8%
나 2
 
1.8%
Other values (75) 84
75.0%
ASCII
ValueCountFrequency (%)
S 1
33.3%
E 1
33.3%
Y 1
33.3%

주 소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T22:10:46.959551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.782609
Min length18

Characters and Unicode

Total characters501
Distinct characters51
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row충청북도 음성군 음성읍 용광로 9
2nd row충청북도 음성군 음성읍 시장로 66-1
3rd row충청북도 음성군 음성읍 중앙로 150
4th row충청북도 음성군 음성읍 문화길 6
5th row충청북도 음성군 음성읍 설성공원길 37-1
ValueCountFrequency (%)
충청북도 23
19.0%
음성군 23
19.0%
음성읍 7
 
5.8%
장감로 6
 
5.0%
감곡면 6
 
5.0%
금왕읍 5
 
4.1%
132번길 4
 
3.3%
대금로 3
 
2.5%
6 3
 
2.5%
중앙로 2
 
1.7%
Other values (36) 39
32.2%
2023-12-12T22:10:47.365946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
19.6%
성 35
 
7.0%
음 32
 
6.4%
1 24
 
4.8%
충 23
 
4.6%
군 23
 
4.6%
청 23
 
4.6%
도 23
 
4.6%
북 23
 
4.6%
로 18
 
3.6%
Other values (41) 179
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 313
62.5%
Space Separator 98
 
19.6%
Decimal Number 81
 
16.2%
Dash Punctuation 9
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 35
 
11.2%
음 32
 
10.2%
충 23
 
7.3%
군 23
 
7.3%
청 23
 
7.3%
도 23
 
7.3%
북 23
 
7.3%
로 18
 
5.8%
읍 12
 
3.8%
감 12
 
3.8%
Other values (29) 89
28.4%
Decimal Number
ValueCountFrequency (%)
1 24
29.6%
6 13
16.0%
2 12
14.8%
9 6
 
7.4%
5 6
 
7.4%
4 5
 
6.2%
0 5
 
6.2%
3 5
 
6.2%
7 3
 
3.7%
8 2
 
2.5%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 313
62.5%
Common 188
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 35
 
11.2%
음 32
 
10.2%
충 23
 
7.3%
군 23
 
7.3%
청 23
 
7.3%
도 23
 
7.3%
북 23
 
7.3%
로 18
 
5.8%
읍 12
 
3.8%
감 12
 
3.8%
Other values (29) 89
28.4%
Common
ValueCountFrequency (%)
98
52.1%
1 24
 
12.8%
6 13
 
6.9%
2 12
 
6.4%
- 9
 
4.8%
9 6
 
3.2%
5 6
 
3.2%
4 5
 
2.7%
0 5
 
2.7%
3 5
 
2.7%
Other values (2) 5
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 313
62.5%
ASCII 188
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
52.1%
1 24
 
12.8%
6 13
 
6.9%
2 12
 
6.4%
- 9
 
4.8%
9 6
 
3.2%
5 6
 
3.2%
4 5
 
2.7%
0 5
 
2.7%
3 5
 
2.7%
Other values (2) 5
 
2.7%
Hangul
ValueCountFrequency (%)
성 35
 
11.2%
음 32
 
10.2%
충 23
 
7.3%
군 23
 
7.3%
청 23
 
7.3%
도 23
 
7.3%
북 23
 
7.3%
로 18
 
5.8%
읍 12
 
3.8%
감 12
 
3.8%
Other values (29) 89
28.4%

연락처
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T22:10:47.601933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row043-872-0221
2nd row043-872-2500
3rd row043-872-3488
4th row043-873-2456
5th row043-872-2234
ValueCountFrequency (%)
043-872-0221 1
 
4.3%
043-883-3311 1
 
4.3%
043-882-3337 1
 
4.3%
043-872-1918 1
 
4.3%
043-881-2403 1
 
4.3%
043-881-3339 1
 
4.3%
043-881-3777 1
 
4.3%
043-883-0530 1
 
4.3%
043-881-9611 1
 
4.3%
043-878-4021 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T22:10:47.980883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 48
17.4%
- 46
16.7%
8 42
15.2%
0 33
12.0%
4 32
11.6%
7 23
8.3%
2 16
 
5.8%
1 14
 
5.1%
5 11
 
4.0%
9 7
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 48
20.9%
8 42
18.3%
0 33
14.3%
4 32
13.9%
7 23
10.0%
2 16
 
7.0%
1 14
 
6.1%
5 11
 
4.8%
9 7
 
3.0%
6 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 48
17.4%
- 46
16.7%
8 42
15.2%
0 33
12.0%
4 32
11.6%
7 23
8.3%
2 16
 
5.8%
1 14
 
5.1%
5 11
 
4.0%
9 7
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 48
17.4%
- 46
16.7%
8 42
15.2%
0 33
12.0%
4 32
11.6%
7 23
8.3%
2 16
 
5.8%
1 14
 
5.1%
5 11
 
4.0%
9 7
 
2.5%

대표품목
Text

Distinct15
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T22:10:48.159434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length3.826087
Min length2

Characters and Unicode

Total characters88
Distinct characters46
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

Unique11 ?
Unique (%)47.8%

Sample

1st row커피
2nd row커트
3rd row커트
4th row짜장면
5th row짜장면
ValueCountFrequency (%)
짜장면 4
17.4%
칼국수 4
17.4%
커트 2
 
8.7%
삼겹살(200g 2
 
8.7%
커피 1
 
4.3%
백반 1
 
4.3%
만두전골(중 1
 
4.3%
보리밥 1
 
4.3%
대실 1
 
4.3%
송편 1
 
4.3%
Other values (5) 5
21.7%
2023-12-12T22:10:48.487493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 5
 
5.7%
( 5
 
5.7%
장 5
 
5.7%
국 5
 
5.7%
0 4
 
4.5%
짜 4
 
4.5%
면 4
 
4.5%
수 4
 
4.5%
칼 4
 
4.5%
커 3
 
3.4%
Other values (36) 45
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70
79.5%
Decimal Number 6
 
6.8%
Close Punctuation 5
 
5.7%
Open Punctuation 5
 
5.7%
Lowercase Letter 2
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 5
 
7.1%
국 5
 
7.1%
짜 4
 
5.7%
면 4
 
5.7%
수 4
 
5.7%
칼 4
 
5.7%
커 3
 
4.3%
밥 3
 
4.3%
삼 2
 
2.9%
겹 2
 
2.9%
Other values (31) 34
48.6%
Decimal Number
ValueCountFrequency (%)
0 4
66.7%
2 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70
79.5%
Common 16
 
18.2%
Latin 2
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 5
 
7.1%
국 5
 
7.1%
짜 4
 
5.7%
면 4
 
5.7%
수 4
 
5.7%
칼 4
 
5.7%
커 3
 
4.3%
밥 3
 
4.3%
삼 2
 
2.9%
겹 2
 
2.9%
Other values (31) 34
48.6%
Common
ValueCountFrequency (%)
) 5
31.2%
( 5
31.2%
0 4
25.0%
2 2
 
12.5%
Latin
ValueCountFrequency (%)
g 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70
79.5%
ASCII 18
 
20.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 5
27.8%
( 5
27.8%
0 4
22.2%
2 2
 
11.1%
g 2
 
11.1%
Hangul
ValueCountFrequency (%)
장 5
 
7.1%
국 5
 
7.1%
짜 4
 
5.7%
면 4
 
5.7%
수 4
 
5.7%
칼 4
 
5.7%
커 3
 
4.3%
밥 3
 
4.3%
삼 2
 
2.9%
겹 2
 
2.9%
Other values (31) 34
48.6%

가격(원)
Real number (ℝ)

Distinct12
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8065.2174
Minimum2500
Maximum27000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T22:10:48.606423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2500
5-th percentile2550
Q14250
median6000
Q310000
95-th percentile23900
Maximum27000
Range24500
Interquartile range (IQR)5750

Descriptive statistics

Standard deviation6461.9592
Coefficient of variation (CV)0.80121327
Kurtosis3.9650299
Mean8065.2174
Median Absolute Deviation (MAD)2000
Skewness2.0535868
Sum185500
Variance41756917
MonotonicityNot monotonic
2023-12-12T22:10:48.719424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5000 4
17.4%
10000 3
13.0%
6000 3
13.0%
4000 3
13.0%
2500 2
8.7%
7000 2
8.7%
3000 1
 
4.3%
27000 1
 
4.3%
25000 1
 
4.3%
13000 1
 
4.3%
Other values (2) 2
8.7%
ValueCountFrequency (%)
2500 2
8.7%
3000 1
 
4.3%
4000 3
13.0%
4500 1
 
4.3%
5000 4
17.4%
6000 3
13.0%
7000 2
8.7%
10000 3
13.0%
13000 1
 
4.3%
14000 1
 
4.3%
ValueCountFrequency (%)
27000 1
 
4.3%
25000 1
 
4.3%
14000 1
 
4.3%
13000 1
 
4.3%
10000 3
13.0%
7000 2
8.7%
6000 3
13.0%
5000 4
17.4%
4500 1
 
4.3%
4000 3
13.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2023-06-27 00:00:00
Maximum2023-06-27 00:00:00
2023-12-12T22:10:48.820326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:10:48.906190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:10:45.042726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:10:44.841207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:10:45.143666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:10:44.945346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:10:48.993237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연 번업 종업소명주 소연락처대표품목가격(원)
연 번1.0000.5181.0001.0001.0000.8940.902
업 종0.5181.0001.0001.0001.0001.0000.710
업소명1.0001.0001.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
대표품목0.8941.0001.0001.0001.0001.0000.969
가격(원)0.9020.7101.0001.0001.0000.9691.000
2023-12-12T22:10:49.107802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연 번가격(원)업 종
연 번1.0000.1700.208
가격(원)0.1701.0000.446
업 종0.2080.4461.000

Missing values

2023-12-12T22:10:45.279548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:10:45.425452image/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

연 번업 종업소명주 소연락처대표품목가격(원)데이터기준일
01기타요식업커피홀릭충청북도 음성군 음성읍 용광로 9043-872-0221커피25002023-06-27
12미용업씨헤어클럽충청북도 음성군 음성읍 시장로 66-1043-872-2500커트100002023-06-27
23미용업윤정미용실충청북도 음성군 음성읍 중앙로 150043-872-3488커트60002023-06-27
34중식삼거리반점충청북도 음성군 음성읍 문화길 6043-873-2456짜장면30002023-06-27
45중식품바옛날짜장충청북도 음성군 음성읍 설성공원길 37-1043-872-2234짜장면40002023-06-27
56한식맛디아식당충청북도 음성군 음성읍 중앙로 132번길 14043-872-4942칼국수70002023-06-27
67한식홍두깨손칼국수충청북도 음성군 금왕읍 금석로 107번길 1-6043-878-5930칼국수50002023-06-27
78한식엄마손밥상충청북도 음성군 금왕읍 금석로 65-4043-883-5993백반60002023-06-27
89한식천진동만두버섯전골충청북도 음성군 금왕읍 대금로 1495043-878-4335만두전골(중)270002023-06-27
910한식산촌보리밥충청북도 음성군 금왕읍 탑골2길 5043-881-3103보리밥70002023-06-27
연 번업 종업소명주 소연락처대표품목가격(원)데이터기준일
1314한식소문난갈비충청북도 음성군 삼성면 덕정로 62번길 21-2043-878-5533칼국수50002023-06-27
1415중식개미반점충청북도 음성군 생극면 음성로 1687043-878-4021짜장면40002023-06-27
1516한식토종마을충청북도 음성군 감곡면 장감로 132번길 19-2043-881-9611돼지국밥40002023-06-27
1617한식국화식당충청북도 음성군 감곡면 장감로 132번길 29043-883-0530김치찌개60002023-06-27
1718한식감곡식당충청북도 음성군 감곡면 장감로 160043-881-3777칼국수50002023-06-27
1819한식왕장정육식당충청북도 음성군 감곡면 장감로 132번길 6043-881-3339삼겹살(200g)130002023-06-27
1920한식풍미식당충청북도 음성군 감곡면 장감로 186-1043-881-2403삼겹살(200g)140002023-06-27
2021중식쉐농충청북도 음성군 음성읍 음성로 406043-872-1918짜장면45002023-06-27
2122목욕업개나리휴사우나충청북도 음성군 대소면 대금로 410-5043-882-3337목욕(대인)50002023-06-27
2223기타비요식업YES컴퓨터충청북도 음성군 감곡면 장감로 119043-878-4655출장비100002023-06-27