Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory800.8 KiB
Average record size in memory82.0 B

Variable types

DateTime1
Categorical4
Text2
Numeric2

Dataset

Description봉화군 관내 봉화사랑상품권 가맹점의 상품권 환전내역 정보를 기반으로 한 가맹점의 상품권만으로 이루어진 매출 데이터로
Author경상북도 봉화군
URLhttps://www.data.go.kr/data/15096629/fileData.do

Alerts

상품권명 has constant value ""Constant
환전지점명 is highly overall correlated with 가맹점소재지High correlation
가맹점소재지 is highly overall correlated with 환전지점명High correlation
환전상품권개수 is highly overall correlated with 환전금액High correlation
환전금액 is highly overall correlated with 환전상품권개수High correlation
환전상품권종류 is highly imbalanced (88.3%)Imbalance

Reproduction

Analysis started2023-12-12 11:52:29.046699
Analysis finished2023-12-12 11:52:30.448139
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

환전년월일
Date

Distinct221
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-12-14 00:00:00
Maximum2021-11-09 00:00:00
2023-12-12T20:52:30.511153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:52:30.652194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

환전지점명
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
춘양신용협동조합 본점
1831 
봉화농협 본점
1505 
NH농협은행 봉화군지부
1389 
봉화군새마을금고 본점
1186 
춘양농협 본점
1026 
Other values (16)
3063 

Length

Max length14
Median length13
Mean length9.9089
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNH농협은행 봉화군지부
2nd row봉화군새마을금고 명호지점
3rd rowNH농협은행 봉화군지부
4th row봉화군새마을금고 소천지점
5th row봉화군새마을금고 본점

Common Values

ValueCountFrequency (%)
춘양신용협동조합 본점 1831
18.3%
봉화농협 본점 1505
15.0%
NH농협은행 봉화군지부 1389
13.9%
봉화군새마을금고 본점 1186
11.9%
춘양농협 본점 1026
10.3%
봉화군새마을금고 춘양지점 376
 
3.8%
안동봉화축협 봉화지점 338
 
3.4%
봉화군산림조합 본점 326
 
3.3%
춘양농협 소천지점 319
 
3.2%
봉화농협 봉성지점 240
 
2.4%
Other values (11) 1464
14.6%

Length

2023-12-12T20:52:30.788707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본점 6223
31.1%
봉화농협 2344
 
11.7%
봉화군새마을금고 1839
 
9.2%
춘양신용협동조합 1831
 
9.2%
춘양농협 1566
 
7.8%
nh농협은행 1407
 
7.0%
봉화군지부 1389
 
6.9%
소천지점 502
 
2.5%
춘양지점 376
 
1.9%
안동봉화축협 338
 
1.7%
Other values (12) 2185
 
10.9%

상품권명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
봉화사랑상품권
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
봉화사랑상품권 10000
100.0%

Length

2023-12-12T20:52:30.909048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:52:30.998416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉화사랑상품권 10000
100.0%

가맹점명
Text

Distinct620
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:52:31.206311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.5321
Min length2

Characters and Unicode

Total characters65321
Distinct characters426
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)0.9%

Sample

1st row푸른마트
2nd row명진마트
3rd row쩐다육
4th row현동가스
5th row시장닭집
ValueCountFrequency (%)
봉화농업협동조합 297
 
2.5%
주유소 221
 
1.9%
봉화농협 219
 
1.9%
상운지점 204
 
1.7%
씨유 193
 
1.7%
춘양농협하나로마트 181
 
1.6%
춘양농협주유소 179
 
1.5%
봉화점 174
 
1.5%
춘양농협경제사업장 173
 
1.5%
소천지점 172
 
1.5%
Other values (644) 9654
82.7%
2023-12-12T20:52:31.576458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
화 3049
 
4.7%
봉 3008
 
4.6%
농 2502
 
3.8%
협 2086
 
3.2%
점 1931
 
3.0%
1667
 
2.6%
소 1533
 
2.3%
양 1419
 
2.2%
춘 1316
 
2.0%
유 1288
 
2.0%
Other values (416) 45522
69.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62525
95.7%
Space Separator 1667
 
2.6%
Uppercase Letter 534
 
0.8%
Decimal Number 264
 
0.4%
Close Punctuation 133
 
0.2%
Open Punctuation 133
 
0.2%
Other Symbol 53
 
0.1%
Other Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 3049
 
4.9%
봉 3008
 
4.8%
농 2502
 
4.0%
협 2086
 
3.3%
점 1931
 
3.1%
소 1533
 
2.5%
양 1419
 
2.3%
춘 1316
 
2.1%
유 1288
 
2.1%
마 1223
 
2.0%
Other values (394) 43170
69.0%
Uppercase Letter
ValueCountFrequency (%)
G 126
23.6%
S 76
14.2%
T 68
12.7%
B 58
10.9%
C 53
9.9%
L 49
 
9.2%
K 29
 
5.4%
P 25
 
4.7%
U 24
 
4.5%
A 24
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 76
28.8%
2 76
28.8%
0 56
21.2%
7 28
 
10.6%
6 28
 
10.6%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
. 5
41.7%
Space Separator
ValueCountFrequency (%)
1667
100.0%
Close Punctuation
ValueCountFrequency (%)
) 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 133
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62578
95.8%
Common 2209
 
3.4%
Latin 534
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 3049
 
4.9%
봉 3008
 
4.8%
농 2502
 
4.0%
협 2086
 
3.3%
점 1931
 
3.1%
소 1533
 
2.4%
양 1419
 
2.3%
춘 1316
 
2.1%
유 1288
 
2.1%
마 1223
 
2.0%
Other values (395) 43223
69.1%
Latin
ValueCountFrequency (%)
G 126
23.6%
S 76
14.2%
T 68
12.7%
B 58
10.9%
C 53
9.9%
L 49
 
9.2%
K 29
 
5.4%
P 25
 
4.7%
U 24
 
4.5%
A 24
 
4.5%
Common
ValueCountFrequency (%)
1667
75.5%
) 133
 
6.0%
( 133
 
6.0%
5 76
 
3.4%
2 76
 
3.4%
0 56
 
2.5%
7 28
 
1.3%
6 28
 
1.3%
, 7
 
0.3%
. 5
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62525
95.7%
ASCII 2743
 
4.2%
None 53
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
화 3049
 
4.9%
봉 3008
 
4.8%
농 2502
 
4.0%
협 2086
 
3.3%
점 1931
 
3.1%
소 1533
 
2.5%
양 1419
 
2.3%
춘 1316
 
2.1%
유 1288
 
2.1%
마 1223
 
2.0%
Other values (394) 43170
69.0%
ASCII
ValueCountFrequency (%)
1667
60.8%
) 133
 
4.8%
( 133
 
4.8%
G 126
 
4.6%
5 76
 
2.8%
2 76
 
2.8%
S 76
 
2.8%
T 68
 
2.5%
B 58
 
2.1%
0 56
 
2.0%
Other values (11) 274
 
10.0%
None
ValueCountFrequency (%)
㈜ 53
100.0%

가맹점업종
Text

Distinct134
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T20:52:31.924518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length9.2847
Min length3

Characters and Unicode

Total characters92847
Distinct characters221
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.2%

Sample

1st row슈퍼마켓
2nd row슈퍼마켓
3rd row화초 및 식물 소매업
4th row가정용 가스 연료 소매업
5th row육류 소매업
ValueCountFrequency (%)
소매업 2787
 
10.2%
및 2151
 
7.8%
슈퍼마켓 1464
 
5.3%
음식점업 961
 
3.5%
운송장비용 902
 
3.3%
운영업 894
 
3.3%
주유소 877
 
3.2%
기타 740
 
2.7%
육류 730
 
2.7%
도매업 600
 
2.2%
Other values (231) 15337
55.9%
2023-12-12T20:52:32.617185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17443
 
18.8%
업 7150
 
7.7%
소 4017
 
4.3%
매 3479
 
3.7%
용 2463
 
2.7%
식 2162
 
2.3%
및 2151
 
2.3%
운 1943
 
2.1%
점 1813
 
2.0%
마 1534
 
1.7%
Other values (211) 48692
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 74641
80.4%
Space Separator 17443
 
18.8%
Other Punctuation 757
 
0.8%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 7150
 
9.6%
소 4017
 
5.4%
매 3479
 
4.7%
용 2463
 
3.3%
식 2162
 
2.9%
및 2151
 
2.9%
운 1943
 
2.6%
점 1813
 
2.4%
마 1534
 
2.1%
퍼 1464
 
2.0%
Other values (206) 46465
62.3%
Other Punctuation
ValueCountFrequency (%)
, 755
99.7%
. 2
 
0.3%
Space Separator
ValueCountFrequency (%)
17443
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 74641
80.4%
Common 18206
 
19.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 7150
 
9.6%
소 4017
 
5.4%
매 3479
 
4.7%
용 2463
 
3.3%
식 2162
 
2.9%
및 2151
 
2.9%
운 1943
 
2.6%
점 1813
 
2.4%
마 1534
 
2.1%
퍼 1464
 
2.0%
Other values (206) 46465
62.3%
Common
ValueCountFrequency (%)
17443
95.8%
, 755
 
4.1%
( 3
 
< 0.1%
) 3
 
< 0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 74624
80.4%
ASCII 18206
 
19.6%
Compat Jamo 17
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17443
95.8%
, 755
 
4.1%
( 3
 
< 0.1%
) 3
 
< 0.1%
. 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 7150
 
9.6%
소 4017
 
5.4%
매 3479
 
4.7%
용 2463
 
3.3%
식 2162
 
2.9%
및 2151
 
2.9%
운 1943
 
2.6%
점 1813
 
2.4%
마 1534
 
2.1%
퍼 1464
 
2.0%
Other values (205) 46448
62.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 17
100.0%

가맹점소재지
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
봉화읍
4867 
춘양면
3127 
소천면
504 
봉성면
 
382
명호면
 
291
Other values (5)
829 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row봉화읍
2nd row명호면
3rd row물야면
4th row소천면
5th row봉화읍

Common Values

ValueCountFrequency (%)
봉화읍 4867
48.7%
춘양면 3127
31.3%
소천면 504
 
5.0%
봉성면 382
 
3.8%
명호면 291
 
2.9%
상운면 226
 
2.3%
재산면 181
 
1.8%
법전면 163
 
1.6%
석포면 137
 
1.4%
물야면 122
 
1.2%

Length

2023-12-12T20:52:32.787762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:52:32.964488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
봉화읍 4867
48.7%
춘양면 3127
31.3%
소천면 504
 
5.0%
봉성면 382
 
3.8%
명호면 291
 
2.9%
상운면 226
 
2.3%
재산면 181
 
1.8%
법전면 163
 
1.6%
석포면 137
 
1.4%
물야면 122
 
1.2%

환전상품권종류
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1만원권
9842 
5천원권
 
158

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1만원권
2nd row1만원권
3rd row1만원권
4th row1만원권
5th row1만원권

Common Values

ValueCountFrequency (%)
1만원권 9842
98.4%
5천원권 158
 
1.6%

Length

2023-12-12T20:52:33.144758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:52:33.263174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1만원권 9842
98.4%
5천원권 158
 
1.6%

환전상품권개수
Real number (ℝ)

HIGH CORRELATION 

Distinct750
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.4589
Minimum1
Maximum9800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:52:33.444417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q121
median58
Q3135
95-th percentile450
Maximum9800
Range9799
Interquartile range (IQR)114

Descriptive statistics

Standard deviation285.99385
Coefficient of variation (CV)2.2091478
Kurtosis239.15635
Mean129.4589
Median Absolute Deviation (MAD)44
Skewness11.51191
Sum1294589
Variance81792.481
MonotonicityNot monotonic
2023-12-12T20:52:33.652229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 218
 
2.2%
100 197
 
2.0%
20 190
 
1.9%
50 171
 
1.7%
1 153
 
1.5%
30 148
 
1.5%
5 142
 
1.4%
15 129
 
1.3%
8 127
 
1.3%
6 120
 
1.2%
Other values (740) 8405
84.0%
ValueCountFrequency (%)
1 153
1.5%
2 115
1.1%
3 113
1.1%
4 115
1.1%
5 142
1.4%
6 120
1.2%
7 112
1.1%
8 127
1.3%
9 106
1.1%
10 218
2.2%
ValueCountFrequency (%)
9800 1
< 0.1%
7265 1
< 0.1%
5500 1
< 0.1%
5256 1
< 0.1%
5000 2
< 0.1%
4000 1
< 0.1%
3599 1
< 0.1%
3577 1
< 0.1%
3436 1
< 0.1%
3397 1
< 0.1%

환전금액
Real number (ℝ)

HIGH CORRELATION 

Distinct755
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1294377
Minimum5000
Maximum98000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T20:52:33.869087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5000
5-th percentile40000
Q1210000
median580000
Q31350000
95-th percentile4500000
Maximum98000000
Range97995000
Interquartile range (IQR)1140000

Descriptive statistics

Standard deviation2860030.7
Coefficient of variation (CV)2.2095809
Kurtosis239.12856
Mean1294377
Median Absolute Deviation (MAD)440000
Skewness11.510976
Sum1.294377 × 1010
Variance8.1797757 × 1012
MonotonicityNot monotonic
2023-12-12T20:52:34.091789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 214
 
2.1%
1000000 197
 
2.0%
200000 189
 
1.9%
500000 171
 
1.7%
300000 148
 
1.5%
50000 145
 
1.5%
150000 129
 
1.3%
80000 125
 
1.2%
60000 118
 
1.2%
120000 117
 
1.2%
Other values (745) 8447
84.5%
ValueCountFrequency (%)
5000 87
0.9%
10000 99
1.0%
15000 9
 
0.1%
20000 88
0.9%
25000 2
 
< 0.1%
30000 108
1.1%
35000 3
 
< 0.1%
40000 111
1.1%
45000 1
 
< 0.1%
50000 145
1.5%
ValueCountFrequency (%)
98000000 1
< 0.1%
72650000 1
< 0.1%
55000000 1
< 0.1%
52560000 1
< 0.1%
50000000 2
< 0.1%
40000000 1
< 0.1%
35990000 1
< 0.1%
35770000 1
< 0.1%
34360000 1
< 0.1%
33970000 1
< 0.1%

Interactions

2023-12-12T20:52:30.048647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:52:29.846831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:52:30.140356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:52:29.955249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:52:34.253432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
환전지점명가맹점소재지환전상품권종류환전상품권개수환전금액
환전지점명1.0000.9860.0830.0620.063
가맹점소재지0.9861.0000.0750.0170.018
환전상품권종류0.0830.0751.0000.0000.000
환전상품권개수0.0620.0170.0001.0001.000
환전금액0.0630.0180.0001.0001.000
2023-12-12T20:52:34.368428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
환전상품권종류환전지점명가맹점소재지
환전상품권종류1.0000.0720.057
환전지점명0.0721.0000.913
가맹점소재지0.0570.9131.000
2023-12-12T20:52:34.469516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
환전상품권개수환전금액환전지점명가맹점소재지환전상품권종류
환전상품권개수1.0001.0000.0250.0080.000
환전금액1.0001.0000.0250.0080.000
환전지점명0.0250.0251.0000.9130.072
가맹점소재지0.0080.0080.9131.0000.057
환전상품권종류0.0000.0000.0720.0571.000

Missing values

2023-12-12T20:52:30.258009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:52:30.384614image/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

환전년월일환전지점명상품권명가맹점명가맹점업종가맹점소재지환전상품권종류환전상품권개수환전금액
14182021-01-28NH농협은행 봉화군지부봉화사랑상품권푸른마트슈퍼마켓봉화읍1만원권3003000000
43272021-04-22봉화군새마을금고 명호지점봉화사랑상품권명진마트슈퍼마켓명호면1만원권3003000000
43022021-04-21NH농협은행 봉화군지부봉화사랑상품권쩐다육화초 및 식물 소매업물야면1만원권1231230000
39322021-04-13봉화군새마을금고 소천지점봉화사랑상품권현동가스가정용 가스 연료 소매업소천면1만원권39390000
61102021-05-26봉화군새마을금고 본점봉화사랑상품권시장닭집육류 소매업봉화읍1만원권1751750000
23272021-02-25봉화농협 본점봉화사랑상품권페리카나통닭치킨 전문점봉화읍1만원권41410000
36322021-04-05춘양신용협동조합 본점봉화사랑상품권현대석유가정용 액체 연료 소매업춘양면1만원권1501500000
71422021-06-16NH농협은행 봉화군지부봉화사랑상품권풀마트 봉화점슈퍼마켓봉화읍1만원권4404400000
59032021-05-17춘양농협 본점봉화사랑상품권강남회관식육점육류 소매업춘양면1만원권20200000
24612021-03-03NH농협은행 봉화군지부봉화사랑상품권한일주유소운송장비용 주유소 운영업봉화읍1만원권93930000
환전년월일환전지점명상품권명가맹점명가맹점업종가맹점소재지환전상품권종류환전상품권개수환전금액
76652021-06-28춘양농협 법전지점봉화사랑상품권법전양조장탁주 및 약주 제조업법전면1만원권60600000
54872021-05-10봉화군새마을금고 본점봉화사랑상품권수채화여자용 겉옷 소매업봉화읍1만원권30300000
22402021-02-23봉화농협 본점봉화사랑상품권연수네 밥집한식 일반 음식점업봉화읍1만원권10100000
1082020-12-16봉화농협 본점봉화사랑상품권봉화농협경제사업소국내은행봉화읍1만원권1451450000
66402021-06-04춘양신용협동조합 본점봉화사랑상품권제일농약사비료 및 농약 도매업춘양면1만원권880000
86942021-07-26춘양신용협동조합 본점봉화사랑상품권운곡식육점육류 소매업춘양면1만원권32320000
96832021-08-25봉화농협 본점봉화사랑상품권엄약국의약품 및 의료용품 소매업봉화읍1만원권1001000000
82162021-07-13춘양신용협동조합 본점봉화사랑상품권산골맑은한우육류 소매업춘양면1만원권10100000
104122021-09-15춘양신용협동조합 본점봉화사랑상품권춘양공용버스정류소시외버스 운송업춘양면1만원권220000
106862021-09-23NH농협은행 봉화군지부봉화사랑상품권삼화장식벽지, 마루덮개 및 장판류 소매업봉화읍1만원권14140000