Overview

Dataset statistics

Number of variables13
Number of observations30
Missing cells30
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory115.4 B

Variable types

Categorical5
Numeric4
Text2
Unsupported1
Boolean1

Dataset

Description샘플 데이터
Author코나아이㈜
URLhttps://bigdata-region.kr/#/dataset/ac9740ce-4ed5-4913-9080-676976c1098a

Alerts

일반일간결제일자 has constant value ""Constant
결제상품ID has constant value ""Constant
시도명 has constant value ""Constant
사용여부 has constant value ""Constant
결제금액 has constant value ""Constant
가맹점번호 is highly overall correlated with 가맹점업종명High correlation
가맹점우편번호 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 가맹점우편번호High correlation
가맹점업종명 is highly overall correlated with 가맹점번호High correlation
결제상품명 has 30 (100.0%) missing valuesMissing
가맹점번호 has unique valuesUnique
결제상품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 14:18:11.123681
Analysis finished2023-12-10 14:18:13.370692
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일반일간결제일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2020-11-01
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-11-01
2nd row2020-11-01
3rd row2020-11-01
4th row2020-11-01
5th row2020-11-01

Common Values

ValueCountFrequency (%)
2020-11-01 30
100.0%

Length

2023-12-10T23:18:13.441154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:13.578766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-11-01 30
100.0%

가맹점번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0663273 × 108
Minimum7.0000103 × 108
Maximum7.9933406 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:18:13.799023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.0000103 × 108
5-th percentile7.0000335 × 108
Q17.0000909 × 108
median7.0001183 × 108
Q37.0001593 × 108
95-th percentile7.5464177 × 108
Maximum7.9933406 × 108
Range99333029
Interquartile range (IQR)6836.75

Descriptive statistics

Standard deviation25198811
Coefficient of variation (CV)0.035660407
Kurtosis12.206631
Mean7.0663273 × 108
Median Absolute Deviation (MAD)3519.5
Skewness3.6599984
Sum2.1198982 × 1010
Variance6.3498008 × 1014
MonotonicityNot monotonic
2023-12-10T23:18:14.358196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
700001030 1
 
3.3%
700011471 1
 
3.3%
700019702 1
 
3.3%
700019663 1
 
3.3%
700019374 1
 
3.3%
700017875 1
 
3.3%
700017103 1
 
3.3%
700016220 1
 
3.3%
700015060 1
 
3.3%
700014460 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
700001030 1
3.3%
700002992 1
3.3%
700003784 1
3.3%
700003844 1
3.3%
700004192 1
3.3%
700005413 1
3.3%
700008021 1
3.3%
700008972 1
3.3%
700009457 1
3.3%
700009863 1
3.3%
ValueCountFrequency (%)
799334059 1
3.3%
799332561 1
3.3%
700019702 1
3.3%
700019663 1
3.3%
700019374 1
3.3%
700017875 1
3.3%
700017103 1
3.3%
700016220 1
3.3%
700015060 1
3.3%
700014460 1
3.3%

결제상품ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
999999999999999
30 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row999999999999999
2nd row999999999999999
3rd row999999999999999
4th row999999999999999
5th row999999999999999

Common Values

ValueCountFrequency (%)
999999999999999 30
100.0%

Length

2023-12-10T23:18:14.565751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:14.716471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
999999999999999 30
100.0%

가맹점업종명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
일반휴게음식
7 
보건위생
4 
학원
4 
가구
2 
의류
2 
Other values (9)
11 

Length

Max length8
Median length6
Mean length4.1
Min length2

Unique

Unique7 ?
Unique (%)23.3%

Sample

1st row레져용품
2nd row의원
3rd row가구
4th row의류
5th row일반휴게음식

Common Values

ValueCountFrequency (%)
일반휴게음식 7
23.3%
보건위생 4
13.3%
학원 4
13.3%
가구 2
 
6.7%
의류 2
 
6.7%
음료식품 2
 
6.7%
용역 서비스 2
 
6.7%
레져용품 1
 
3.3%
의원 1
 
3.3%
기타 1
 
3.3%
Other values (4) 4
13.3%

Length

2023-12-10T23:18:14.913869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반휴게음식 7
21.2%
보건위생 4
12.1%
학원 4
12.1%
가구 2
 
6.1%
의류 2
 
6.1%
음료식품 2
 
6.1%
용역 2
 
6.1%
서비스 2
 
6.1%
레져용품 1
 
3.0%
의원 1
 
3.0%
Other values (6) 6
18.2%

가맹점우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15110.467
Minimum10468
Maximum18453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:18:15.104633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10468
5-th percentile11028.45
Q112453.25
median14565
Q317932.25
95-th percentile18430.3
Maximum18453
Range7985
Interquartile range (IQR)5479

Descriptive statistics

Standard deviation2784.5222
Coefficient of variation (CV)0.18427771
Kurtosis-1.5140081
Mean15110.467
Median Absolute Deviation (MAD)2750
Skewness-0.14958764
Sum453314
Variance7753563.6
MonotonicityNot monotonic
2023-12-10T23:18:15.295875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
17758 2
 
6.7%
18384 1
 
3.3%
17909 1
 
3.3%
12437 1
 
3.3%
16977 1
 
3.3%
10497 1
 
3.3%
10468 1
 
3.3%
17940 1
 
3.3%
18451 1
 
3.3%
14534 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
10468 1
3.3%
10497 1
3.3%
11678 1
3.3%
11698 1
3.3%
11932 1
3.3%
11940 1
3.3%
12073 1
3.3%
12437 1
3.3%
12502 1
3.3%
13610 1
3.3%
ValueCountFrequency (%)
18453 1
3.3%
18451 1
3.3%
18405 1
3.3%
18384 1
3.3%
18297 1
3.3%
18145 1
3.3%
18104 1
3.3%
17940 1
3.3%
17909 1
3.3%
17758 2
6.7%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
경기도
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 30
100.0%

Length

2023-12-10T23:18:15.482472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:15.587849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 30
100.0%

시군구명
Text

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:18:15.751495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length4.0333333
Min length3

Characters and Unicode

Total characters121
Distinct characters31
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

Unique6 ?
Unique (%)20.0%

Sample

1st row화성시
2nd row평택시
3rd row오산시
4th row구리시
5th row안양시 동안구
ValueCountFrequency (%)
화성시 5
13.5%
평택시 4
 
10.8%
부천시 3
 
8.1%
용인시 2
 
5.4%
덕양구 2
 
5.4%
고양시 2
 
5.4%
기흥구 2
 
5.4%
의정부시 2
 
5.4%
동안구 2
 
5.4%
안양시 2
 
5.4%
Other values (9) 11
29.7%
2023-12-10T23:18:16.190694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 29
24.0%
구 9
 
7.4%
양 8
 
6.6%
7
 
5.8%
평 6
 
5.0%
성 6
 
5.0%
화 5
 
4.1%
부 5
 
4.1%
안 4
 
3.3%
택 4
 
3.3%
Other values (21) 38
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
94.2%
Space Separator 7
 
5.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
25.4%
구 9
 
7.9%
양 8
 
7.0%
평 6
 
5.3%
성 6
 
5.3%
화 5
 
4.4%
부 5
 
4.4%
안 4
 
3.5%
택 4
 
3.5%
흥 3
 
2.6%
Other values (20) 35
30.7%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
94.2%
Common 7
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
25.4%
구 9
 
7.9%
양 8
 
7.0%
평 6
 
5.3%
성 6
 
5.3%
화 5
 
4.4%
부 5
 
4.4%
안 4
 
3.5%
택 4
 
3.5%
흥 3
 
2.6%
Other values (20) 35
30.7%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114
94.2%
ASCII 7
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 29
25.4%
구 9
 
7.9%
양 8
 
7.0%
평 6
 
5.3%
성 6
 
5.3%
화 5
 
4.4%
부 5
 
4.4%
안 4
 
3.5%
택 4
 
3.5%
흥 3
 
2.6%
Other values (20) 35
30.7%
ASCII
ValueCountFrequency (%)
7
100.0%

읍면동명
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:18:16.446442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9666667
Min length2

Characters and Unicode

Total characters89
Distinct characters47
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

Unique26 ?
Unique (%)86.7%

Sample

1st row반월동
2nd row합정동
3rd row가장동
4th row수택동
5th row비산동
ValueCountFrequency (%)
수택동 2
 
6.7%
신장동 2
 
6.7%
반월동 1
 
3.3%
의정부동 1
 
3.3%
구갈동 1
 
3.3%
화정동 1
 
3.3%
성사동 1
 
3.3%
안중읍 1
 
3.3%
석우동 1
 
3.3%
중동 1
 
3.3%
Other values (18) 18
60.0%
2023-12-10T23:18:16.935024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 25
28.1%
정 4
 
4.5%
장 3
 
3.4%
면 3
 
3.4%
수 2
 
2.2%
종 2
 
2.2%
중 2
 
2.2%
갈 2
 
2.2%
택 2
 
2.2%
송 2
 
2.2%
Other values (37) 42
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
28.1%
정 4
 
4.5%
장 3
 
3.4%
면 3
 
3.4%
수 2
 
2.2%
종 2
 
2.2%
중 2
 
2.2%
갈 2
 
2.2%
택 2
 
2.2%
송 2
 
2.2%
Other values (37) 42
47.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
28.1%
정 4
 
4.5%
장 3
 
3.4%
면 3
 
3.4%
수 2
 
2.2%
종 2
 
2.2%
중 2
 
2.2%
갈 2
 
2.2%
택 2
 
2.2%
송 2
 
2.2%
Other values (37) 42
47.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 25
28.1%
정 4
 
4.5%
장 3
 
3.4%
면 3
 
3.4%
수 2
 
2.2%
종 2
 
2.2%
중 2
 
2.2%
갈 2
 
2.2%
택 2
 
2.2%
송 2
 
2.2%
Other values (37) 42
47.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.390233
Minimum36.983
Maximum37.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:18:17.144885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.983
5-th percentile37.0317
Q137.214
median37.398
Q337.59325
95-th percentile37.74655
Maximum37.82
Range0.837
Interquartile range (IQR)0.37925

Descriptive statistics

Standard deviation0.23865394
Coefficient of variation (CV)0.0063827882
Kurtosis-1.0553327
Mean37.390233
Median Absolute Deviation (MAD)0.192
Skewness0.054036655
Sum1121.707
Variance0.056955702
MonotonicityNot monotonic
2023-12-10T23:18:17.289352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37.214 2
 
6.7%
37.421 2
 
6.7%
37.079 2
 
6.7%
37.229 1
 
3.3%
37.746 1
 
3.3%
37.82 1
 
3.3%
37.271 1
 
3.3%
37.634 1
 
3.3%
37.652 1
 
3.3%
36.983 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
36.983 1
3.3%
36.993 1
3.3%
37.079 2
6.7%
37.131 1
3.3%
37.161 1
3.3%
37.207 1
3.3%
37.214 2
6.7%
37.229 1
3.3%
37.242 1
3.3%
37.271 1
3.3%
ValueCountFrequency (%)
37.82 1
3.3%
37.747 1
3.3%
37.746 1
3.3%
37.708 1
3.3%
37.652 1
3.3%
37.634 1
3.3%
37.622 1
3.3%
37.594 1
3.3%
37.591 1
3.3%
37.507 1
3.3%

경도
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.01913
Minimum126.753
Maximum127.353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:18:17.490022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.753
5-th percentile126.77825
Q1126.932
median127.0505
Q3127.08875
95-th percentile127.2743
Maximum127.353
Range0.6
Interquartile range (IQR)0.15675

Descriptive statistics

Standard deviation0.15171496
Coefficient of variation (CV)0.0011944261
Kurtosis0.10039554
Mean127.01913
Median Absolute Deviation (MAD)0.0905
Skewness0.099295341
Sum3810.574
Variance0.02301743
MonotonicityNot monotonic
2023-12-10T23:18:17.690456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
126.952 2
 
6.7%
127.064 1
 
3.3%
127.051 1
 
3.3%
127.349 1
 
3.3%
127.127 1
 
3.3%
126.833 1
 
3.3%
126.838 1
 
3.3%
127.052 1
 
3.3%
126.926 1
 
3.3%
127.079 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
126.753 1
3.3%
126.776 1
3.3%
126.781 1
3.3%
126.789 1
3.3%
126.833 1
3.3%
126.838 1
3.3%
126.891 1
3.3%
126.926 1
3.3%
126.95 1
3.3%
126.952 2
6.7%
ValueCountFrequency (%)
127.353 1
3.3%
127.349 1
3.3%
127.183 1
3.3%
127.143 1
3.3%
127.139 1
3.3%
127.127 1
3.3%
127.114 1
3.3%
127.092 1
3.3%
127.079 1
3.3%
127.075 1
3.3%

결제상품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2023-12-10T23:18:17.845066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

결제금액
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:18:17.988294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:18:18.098099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

Interactions

2023-12-10T23:18:12.611920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:11.397649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:11.728992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:12.173836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:12.707092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:11.467026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:11.819310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:12.275555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:12.831472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:11.549154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:11.925303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:12.400306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:12.922983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:11.623904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:12.057457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:18:12.516134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:18:18.185634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가맹점번호가맹점업종명가맹점우편번호시군구명읍면동명위도경도
가맹점번호1.0001.0000.0000.5131.0000.3940.000
가맹점업종명1.0001.0000.0000.4210.8640.5600.514
가맹점우편번호0.0000.0001.0001.0001.0000.8330.869
시군구명0.5130.4211.0001.0001.0000.9580.948
읍면동명1.0000.8641.0001.0001.0001.0001.000
위도0.3940.5600.8330.9581.0001.0000.776
경도0.0000.5140.8690.9481.0000.7761.000
2023-12-10T23:18:18.364691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
가맹점번호가맹점우편번호위도경도가맹점업종명
가맹점번호1.000-0.1320.038-0.0940.756
가맹점우편번호-0.1321.000-0.859-0.0210.000
위도0.038-0.8591.0000.0180.189
경도-0.094-0.0210.0181.0000.164
가맹점업종명0.7560.0000.1890.1641.000

Missing values

2023-12-10T23:18:13.075408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:18:13.289266image/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

일반일간결제일자가맹점번호결제상품ID가맹점업종명가맹점우편번호시도명시군구명읍면동명위도경도결제상품명사용여부결제금액
02020-11-01700001030999999999999999레져용품18384경기도화성시반월동37.229127.064<NA>N0
12020-11-01799332561999999999999999의원17909경기도평택시합정동36.993127.092<NA>N0
22020-11-01700002992999999999999999가구18104경기도오산시가장동37.161127.03<NA>N0
32020-11-01700003784999999999999999의류11932경기도구리시수택동37.594127.143<NA>N0
42020-11-01700003844999999999999999일반휴게음식13915경기도안양시 동안구비산동37.409126.95<NA>N0
52020-11-01700004192999999999999999보건위생18405경기도화성시병점동37.214127.043<NA>N0
62020-11-01700005413999999999999999학원12502경기도양평군서종면37.622127.353<NA>N0
72020-11-01799334059999999999999999기타14945경기도시흥시미산동37.421126.789<NA>N0
82020-11-01700008021999999999999999학원14596경기도부천시상동37.496126.753<NA>N0
92020-11-01700008972999999999999999일반휴게음식16954경기도용인시 기흥구영덕동37.275127.072<NA>N0
일반일간결제일자가맹점번호결제상품ID가맹점업종명가맹점우편번호시도명시군구명읍면동명위도경도결제상품명사용여부결제금액
202020-11-01700013183999999999999999일반휴게음식11678경기도의정부시가능동37.747127.044<NA>N0
212020-11-01700013304999999999999999일반휴게음식14526경기도부천시도당동37.507126.781<NA>N0
222020-11-01700014460999999999999999보건위생14534경기도부천시중동37.504126.776<NA>N0
232020-11-01700015060999999999999999일반휴게음식18451경기도화성시석우동37.214127.079<NA>N0
242020-11-01700016220999999999999999용역 서비스17940경기도평택시안중읍36.983126.926<NA>N0
252020-11-01700017103999999999999999의류17758경기도평택시신장동37.079127.052<NA>N0
262020-11-01700017875999999999999999용역 서비스10468경기도고양시 덕양구성사동37.652126.838<NA>N0
272020-11-01700019374999999999999999보건위생10497경기도고양시 덕양구화정동37.634126.833<NA>N0
282020-11-01700019663999999999999999일반휴게음식16977경기도용인시 기흥구구갈동37.271127.127<NA>N0
292020-11-01700019702999999999999999음료식품12437경기도가평군조종면37.82127.349<NA>N0