Overview

Dataset statistics

Number of variables37
Number of observations29
Missing cells132
Missing cells (%)12.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory330.6 B

Variable types

DateTime1
Categorical17
Numeric15
Unsupported4

Dataset

Description샘플 데이터
Author한국평가데이터㈜
URLhttps://bigdata-region.kr/#/dataset/0f591862-fbd0-4713-8ac8-eb4106da8b1f

Alerts

가맹점식별번호 has constant value ""Constant
가맹점명 has constant value ""Constant
가맹점업종코드 has constant value ""Constant
가맹점업종 has constant value ""Constant
가맹점시도 has constant value ""Constant
가맹점시군구 has constant value ""Constant
가맹점행정동 has constant value ""Constant
가맹점행정동코드 has constant value ""Constant
위도 has constant value ""Constant
경도 has constant value ""Constant
70대이용건수 is highly imbalanced (78.4%)Imbalance
50대이용금액 is highly imbalanced (58.9%)Imbalance
60대이용금액 is highly imbalanced (52.4%)Imbalance
70대이용금액 is highly imbalanced (78.4%)Imbalance
10대이용건수 has 29 (100.0%) missing valuesMissing
80대이상이용건수 has 29 (100.0%) missing valuesMissing
10대이용금액 has 29 (100.0%) missing valuesMissing
40대이용금액 has 16 (55.2%) missing valuesMissing
80대이상이용금액 has 29 (100.0%) missing valuesMissing
기준일자 has unique valuesUnique
총이용금액 has unique valuesUnique
개인이용금액 has unique valuesUnique
여성이용금액 has unique valuesUnique
20대이용금액 has unique valuesUnique
10대이용건수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
80대이상이용건수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
10대이용금액 is an unsupported type, check if it needs cleaning or further analysisUnsupported
80대이상이용금액 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 13:59:22.386021
Analysis finished2023-12-10 13:59:23.078858
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일자
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2023-01-01 00:00:00
Maximum2023-01-29 00:00:00
2023-12-10T22:59:23.581723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:59:23.796059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

가맹점식별번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
11112345
29 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11112345
2nd row11112345
3rd row11112345
4th row11112345
5th row11112345

Common Values

ValueCountFrequency (%)
11112345 29
100.0%

Length

2023-12-10T22:59:24.147339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:24.314642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11112345 29
100.0%

가맹점명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
가나정육식당
29 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가나정육식당 29
100.0%

Length

2023-12-10T22:59:24.502856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:24.735606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가나정육식당 29
100.0%

가맹점업종코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
F16403
29 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowF16403
2nd rowF16403
3rd rowF16403
4th rowF16403
5th rowF16403

Common Values

ValueCountFrequency (%)
F16403 29
100.0%

Length

2023-12-10T22:59:24.914697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:25.078613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
f16403 29
100.0%

가맹점업종
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
소고기구이전문점
29 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
소고기구이전문점 29
100.0%

Length

2023-12-10T22:59:25.246802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:25.383959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소고기구이전문점 29
100.0%

가맹점시도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
서울
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울 29
100.0%

Length

2023-12-10T22:59:25.528177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:25.699804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울 29
100.0%

가맹점시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
영등포구
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영등포구 29
100.0%

Length

2023-12-10T22:59:25.860224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:26.017683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영등포구 29
100.0%

가맹점행정동
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
여의도동
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여의도동 29
100.0%

Length

2023-12-10T22:59:26.161334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:26.319197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여의도동 29
100.0%

가맹점행정동코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
1156056000
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1156056000
2nd row1156056000
3rd row1156056000
4th row1156056000
5th row1156056000

Common Values

ValueCountFrequency (%)
1156056000 29
100.0%

Length

2023-12-10T22:59:26.473528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:26.636060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1156056000 29
100.0%

위도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
37.52376043
29 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37.52376043
2nd row37.52376043
3rd row37.52376043
4th row37.52376043
5th row37.52376043

Common Values

ValueCountFrequency (%)
37.52376043 29
100.0%

Length

2023-12-10T22:59:26.816519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:26.966039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37.52376043 29
100.0%

경도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
126.9102335
29 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row126.9102335
2nd row126.9102335
3rd row126.9102335
4th row126.9102335
5th row126.9102335

Common Values

ValueCountFrequency (%)
126.9102335 29
100.0%

Length

2023-12-10T22:59:27.130053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:27.270833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126.9102335 29
100.0%

총이용건수
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.655172
Minimum15
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:27.413756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19.2
Q138
median42
Q347
95-th percentile58.8
Maximum66
Range51
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.829974
Coefficient of variation (CV)0.28399771
Kurtosis0.43134252
Mean41.655172
Median Absolute Deviation (MAD)5
Skewness-0.27954847
Sum1208
Variance139.94828
MonotonicityNot monotonic
2023-12-10T22:59:27.580738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
42 4
13.8%
39 3
 
10.3%
54 2
 
6.9%
45 2
 
6.9%
38 2
 
6.9%
57 2
 
6.9%
36 2
 
6.9%
21 1
 
3.4%
47 1
 
3.4%
40 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
15 1
 
3.4%
18 1
 
3.4%
21 1
 
3.4%
28 1
 
3.4%
33 1
 
3.4%
36 2
6.9%
38 2
6.9%
39 3
10.3%
40 1
 
3.4%
41 1
 
3.4%
ValueCountFrequency (%)
66 1
 
3.4%
60 1
 
3.4%
57 2
6.9%
54 2
6.9%
51 1
 
3.4%
47 1
 
3.4%
45 2
6.9%
43 1
 
3.4%
42 4
13.8%
41 1
 
3.4%

개인이용건수
Real number (ℝ)

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.275862
Minimum9
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:27.740115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile11.4
Q127
median34
Q342
95-th percentile54.8
Maximum56
Range47
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.091604
Coefficient of variation (CV)0.35277317
Kurtosis0.079562198
Mean34.275862
Median Absolute Deviation (MAD)7
Skewness-0.20015701
Sum994
Variance146.2069
MonotonicityNot monotonic
2023-12-10T22:59:27.960044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
27 4
13.8%
31 3
 
10.3%
42 3
 
10.3%
56 2
 
6.9%
34 2
 
6.9%
38 2
 
6.9%
33 2
 
6.9%
12 1
 
3.4%
46 1
 
3.4%
36 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
9 1
 
3.4%
11 1
 
3.4%
12 1
 
3.4%
21 1
 
3.4%
27 4
13.8%
29 1
 
3.4%
31 3
10.3%
33 2
6.9%
34 2
6.9%
35 1
 
3.4%
ValueCountFrequency (%)
56 2
6.9%
53 1
 
3.4%
50 1
 
3.4%
46 1
 
3.4%
43 1
 
3.4%
42 3
10.3%
38 2
6.9%
36 1
 
3.4%
35 1
 
3.4%
34 2
6.9%

법인이용건수
Real number (ℝ)

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3793103
Minimum3
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:28.119038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16
median7
Q39
95-th percentile10.6
Maximum11
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.077323
Coefficient of variation (CV)0.28150639
Kurtosis-0.31899195
Mean7.3793103
Median Absolute Deviation (MAD)1
Skewness-0.29131226
Sum214
Variance4.3152709
MonotonicityNot monotonic
2023-12-10T22:59:28.298504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
7 7
24.1%
9 5
17.2%
8 5
17.2%
6 3
10.3%
4 3
10.3%
11 2
 
6.9%
10 2
 
6.9%
3 1
 
3.4%
5 1
 
3.4%
ValueCountFrequency (%)
3 1
 
3.4%
4 3
10.3%
5 1
 
3.4%
6 3
10.3%
7 7
24.1%
8 5
17.2%
9 5
17.2%
10 2
 
6.9%
11 2
 
6.9%
ValueCountFrequency (%)
11 2
 
6.9%
10 2
 
6.9%
9 5
17.2%
8 5
17.2%
7 7
24.1%
6 3
10.3%
5 1
 
3.4%
4 3
10.3%
3 1
 
3.4%

남성이용건수
Real number (ℝ)

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.896552
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:28.546872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q112
median14
Q318
95-th percentile20.6
Maximum22
Range21
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1154167
Coefficient of variation (CV)0.36810691
Kurtosis0.58269006
Mean13.896552
Median Absolute Deviation (MAD)3
Skewness-0.81947485
Sum403
Variance26.167488
MonotonicityNot monotonic
2023-12-10T22:59:28.737249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
14 4
13.8%
19 3
10.3%
15 3
10.3%
16 3
10.3%
6 2
 
6.9%
18 2
 
6.9%
11 2
 
6.9%
13 2
 
6.9%
12 2
 
6.9%
3 1
 
3.4%
Other values (5) 5
17.2%
ValueCountFrequency (%)
1 1
 
3.4%
3 1
 
3.4%
6 2
6.9%
10 1
 
3.4%
11 2
6.9%
12 2
6.9%
13 2
6.9%
14 4
13.8%
15 3
10.3%
16 3
10.3%
ValueCountFrequency (%)
22 1
 
3.4%
21 1
 
3.4%
20 1
 
3.4%
19 3
10.3%
18 2
6.9%
16 3
10.3%
15 3
10.3%
14 4
13.8%
13 2
6.9%
12 2
6.9%

여성이용건수
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.37931
Minimum5
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:29.072958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.2
Q115
median20
Q325
95-th percentile35.2
Maximum39
Range34
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9219384
Coefficient of variation (CV)0.43779393
Kurtosis-0.35189707
Mean20.37931
Median Absolute Deviation (MAD)5
Skewness0.27509729
Sum591
Variance79.600985
MonotonicityNot monotonic
2023-12-10T22:59:29.267522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
17 3
 
10.3%
15 2
 
6.9%
21 2
 
6.9%
34 2
 
6.9%
16 2
 
6.9%
5 2
 
6.9%
23 2
 
6.9%
39 1
 
3.4%
26 1
 
3.4%
20 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5 2
6.9%
8 1
 
3.4%
9 1
 
3.4%
12 1
 
3.4%
13 1
 
3.4%
15 2
6.9%
16 2
6.9%
17 3
10.3%
19 1
 
3.4%
20 1
 
3.4%
ValueCountFrequency (%)
39 1
3.4%
36 1
3.4%
34 2
6.9%
31 1
3.4%
28 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 2
6.9%
22 1
3.4%

10대이용건수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

20대이용건수
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.551724
Minimum4
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:29.465405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.4
Q113
median19
Q327
95-th percentile32.6
Maximum35
Range31
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.347738
Coefficient of variation (CV)0.42695662
Kurtosis-0.80458609
Mean19.551724
Median Absolute Deviation (MAD)7
Skewness0.018833556
Sum567
Variance69.684729
MonotonicityNot monotonic
2023-12-10T22:59:29.647867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20 2
 
6.9%
28 2
 
6.9%
18 2
 
6.9%
22 2
 
6.9%
13 2
 
6.9%
27 2
 
6.9%
17 2
 
6.9%
7 1
 
3.4%
29 1
 
3.4%
12 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
4 1
3.4%
6 1
3.4%
7 1
3.4%
10 1
3.4%
11 1
3.4%
12 1
3.4%
13 2
6.9%
14 1
3.4%
15 1
3.4%
17 2
6.9%
ValueCountFrequency (%)
35 1
3.4%
33 1
3.4%
32 1
3.4%
29 1
3.4%
28 2
6.9%
27 2
6.9%
26 1
3.4%
24 1
3.4%
22 2
6.9%
20 2
6.9%

30대이용건수
Real number (ℝ)

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.172414
Minimum2
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:29.945563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q111
median13
Q316
95-th percentile21.4
Maximum26
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.325605
Coefficient of variation (CV)0.40429986
Kurtosis0.90997253
Mean13.172414
Median Absolute Deviation (MAD)2
Skewness-0.0086117697
Sum382
Variance28.362069
MonotonicityNot monotonic
2023-12-10T22:59:30.106788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
11 4
13.8%
12 3
10.3%
15 3
10.3%
13 3
10.3%
3 2
 
6.9%
9 2
 
6.9%
16 2
 
6.9%
19 2
 
6.9%
14 2
 
6.9%
2 1
 
3.4%
Other values (5) 5
17.2%
ValueCountFrequency (%)
2 1
 
3.4%
3 2
6.9%
9 2
6.9%
10 1
 
3.4%
11 4
13.8%
12 3
10.3%
13 3
10.3%
14 2
6.9%
15 3
10.3%
16 2
6.9%
ValueCountFrequency (%)
26 1
 
3.4%
23 1
 
3.4%
19 2
6.9%
18 1
 
3.4%
17 1
 
3.4%
16 2
6.9%
15 3
10.3%
14 2
6.9%
13 3
10.3%
12 3
10.3%

40대이용건수
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
16 
1
6 
2
3 
5
2 
3
2 

Length

Max length4
Median length4
Mean length2.6551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row2
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 16
55.2%
1 6
 
20.7%
2 3
 
10.3%
5 2
 
6.9%
3 2
 
6.9%

Length

2023-12-10T22:59:30.297565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:30.481559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 16
55.2%
1 6
 
20.7%
2 3
 
10.3%
5 2
 
6.9%
3 2
 
6.9%

50대이용건수
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
24 
2
3 
1
 
2

Length

Max length4
Median length4
Mean length3.4827586
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row<NA>
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
82.8%
2 3
 
10.3%
1 2
 
6.9%

Length

2023-12-10T22:59:30.772785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:30.958746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
82.8%
2 3
 
10.3%
1 2
 
6.9%

60대이용건수
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
23 
1
4 
2
 
2

Length

Max length4
Median length4
Mean length3.3793103
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 23
79.3%
1 4
 
13.8%
2 2
 
6.9%

Length

2023-12-10T22:59:31.150577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:31.353209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
79.3%
1 4
 
13.8%
2 2
 
6.9%

70대이용건수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
28 
1
 
1

Length

Max length4
Median length4
Mean length3.8965517
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
96.6%
1 1
 
3.4%

Length

2023-12-10T22:59:31.557299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:31.830750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
96.6%
1 1
 
3.4%

80대이상이용건수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

총이용금액
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean530526.55
Minimum159800
Maximum1224820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:32.053961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159800
5-th percentile198408
Q1395800
median464280
Q3589320
95-th percentile1110650
Maximum1224820
Range1065020
Interquartile range (IQR)193520

Descriptive statistics

Standard deviation257664.4
Coefficient of variation (CV)0.48567673
Kurtosis1.808999
Mean530526.55
Median Absolute Deviation (MAD)78870
Skewness1.3501553
Sum15385270
Variance6.6390942 × 1010
MonotonicityNot monotonic
2023-12-10T22:59:32.289730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
216570 1
 
3.4%
186300 1
 
3.4%
524810 1
 
3.4%
1077530 1
 
3.4%
459510 1
 
3.4%
683520 1
 
3.4%
426400 1
 
3.4%
1132730 1
 
3.4%
646300 1
 
3.4%
551600 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
159800 1
3.4%
186300 1
3.4%
216570 1
3.4%
287540 1
3.4%
385410 1
3.4%
387500 1
3.4%
395500 1
3.4%
395800 1
3.4%
414400 1
3.4%
425200 1
3.4%
ValueCountFrequency (%)
1224820 1
3.4%
1132730 1
3.4%
1077530 1
3.4%
856240 1
3.4%
683520 1
3.4%
646300 1
3.4%
603610 1
3.4%
589320 1
3.4%
551600 1
3.4%
547660 1
3.4%

개인이용금액
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345711.03
Minimum90840
Maximum567820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:32.510239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90840
5-th percentile118488
Q1272710
median343520
Q3422300
95-th percentile553186
Maximum567820
Range476980
Interquartile range (IQR)149590

Descriptive statistics

Standard deviation121481.94
Coefficient of variation (CV)0.35139734
Kurtosis0.090049794
Mean345711.03
Median Absolute Deviation (MAD)72410
Skewness-0.16416278
Sum10025620
Variance1.4757861 × 1010
MonotonicityNot monotonic
2023-12-10T22:59:32.898537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
123570 1
 
3.4%
115100 1
 
3.4%
271110 1
 
3.4%
420530 1
 
3.4%
380010 1
 
3.4%
343520 1
 
3.4%
331100 1
 
3.4%
362730 1
 
3.4%
271300 1
 
3.4%
432700 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
90840 1
3.4%
115100 1
3.4%
123570 1
3.4%
217540 1
3.4%
270100 1
3.4%
271110 1
3.4%
271300 1
3.4%
272710 1
3.4%
295000 1
3.4%
310000 1
3.4%
ValueCountFrequency (%)
567820 1
3.4%
562110 1
3.4%
539800 1
3.4%
506240 1
3.4%
460010 1
3.4%
432700 1
3.4%
423000 1
3.4%
422300 1
3.4%
420530 1
3.4%
384280 1
3.4%

법인이용금액
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184815.52
Minimum41500
Maximum770000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:33.234369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41500
5-th percentile57296
Q179500
median90000
Q3157320
95-th percentile657000
Maximum770000
Range728500
Interquartile range (IQR)77820

Descriptive statistics

Standard deviation198092.35
Coefficient of variation (CV)1.0718383
Kurtosis3.0296956
Mean184815.52
Median Absolute Deviation (MAD)20000
Skewness1.9880791
Sum5359650
Variance3.924058 × 1010
MonotonicityNot monotonic
2023-12-10T22:59:33.511822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
657000 2
 
6.9%
80000 2
 
6.9%
93000 1
 
3.4%
253700 1
 
3.4%
79500 1
 
3.4%
340000 1
 
3.4%
95300 1
 
3.4%
770000 1
 
3.4%
375000 1
 
3.4%
118900 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
41500 1
3.4%
49520 1
3.4%
68960 1
3.4%
70000 1
3.4%
71200 1
3.4%
76500 1
3.4%
77500 1
3.4%
79500 1
3.4%
80000 2
6.9%
81200 1
3.4%
ValueCountFrequency (%)
770000 1
3.4%
657000 2
6.9%
375000 1
3.4%
350000 1
3.4%
340000 1
3.4%
253700 1
3.4%
157320 1
3.4%
153000 1
3.4%
118900 1
3.4%
112700 1
3.4%

남성이용금액
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143440.34
Minimum10500
Maximum227400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:33.829911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10500
5-th percentile46000
Q1123000
median146800
Q3183750
95-th percentile209600
Maximum227400
Range216900
Interquartile range (IQR)60750

Descriptive statistics

Standard deviation51118.091
Coefficient of variation (CV)0.35637178
Kurtosis0.8409434
Mean143440.34
Median Absolute Deviation (MAD)31800
Skewness-0.88955127
Sum4159770
Variance2.6130592 × 109
MonotonicityNot monotonic
2023-12-10T22:59:34.191073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
146800 2
 
6.9%
190000 2
 
6.9%
32000 1
 
3.4%
191500 1
 
3.4%
123000 1
 
3.4%
165400 1
 
3.4%
156700 1
 
3.4%
145000 1
 
3.4%
169200 1
 
3.4%
155200 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
10500 1
3.4%
32000 1
3.4%
67000 1
3.4%
67350 1
3.4%
107300 1
3.4%
111000 1
3.4%
115000 1
3.4%
123000 1
3.4%
126870 1
3.4%
135400 1
3.4%
ValueCountFrequency (%)
227400 1
3.4%
216000 1
3.4%
200000 1
3.4%
191500 1
3.4%
190000 2
6.9%
184000 1
3.4%
183750 1
3.4%
169200 1
3.4%
165400 1
3.4%
163700 1
3.4%

여성이용금액
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202270.69
Minimum48100
Maximum391240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:34.391833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48100
5-th percentile64440
Q1149200
median198520
Q3248380
95-th percentile360612
Maximum391240
Range343140
Interquartile range (IQR)99180

Descriptive statistics

Standard deviation90002.776
Coefficient of variation (CV)0.44496203
Kurtosis-0.31003214
Mean202270.69
Median Absolute Deviation (MAD)49860
Skewness0.36132111
Sum5865850
Variance8.1004996 × 109
MonotonicityNot monotonic
2023-12-10T22:59:34.622789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
91570 1
 
3.4%
48100 1
 
3.4%
148110 1
 
3.4%
255130 1
 
3.4%
223310 1
 
3.4%
198520 1
 
3.4%
161900 1
 
3.4%
215930 1
 
3.4%
116100 1
 
3.4%
242700 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
48100 1
3.4%
53840 1
3.4%
80340 1
3.4%
91570 1
3.4%
116100 1
3.4%
125910 1
3.4%
148110 1
3.4%
149200 1
3.4%
159100 1
3.4%
159600 1
3.4%
ValueCountFrequency (%)
391240 1
3.4%
367820 1
3.4%
349800 1
3.4%
334710 1
3.4%
305010 1
3.4%
277850 1
3.4%
255130 1
3.4%
248380 1
3.4%
242700 1
3.4%
230800 1
3.4%

10대이용금액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

20대이용금액
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194822.76
Minimum35840
Maximum357800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:34.879514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35840
5-th percentile65248
Q1129800
median187530
Q3265760
95-th percentile319344
Maximum357800
Range321960
Interquartile range (IQR)135960

Descriptive statistics

Standard deviation83546.761
Coefficient of variation (CV)0.42883471
Kurtosis-0.72915648
Mean194822.76
Median Absolute Deviation (MAD)67720
Skewness0.043934589
Sum5649860
Variance6.9800612 × 109
MonotonicityNot monotonic
2023-12-10T22:59:35.781444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
72970 1
 
3.4%
60100 1
 
3.4%
119810 1
 
3.4%
279030 1
 
3.4%
255510 1
 
3.4%
172520 1
 
3.4%
239650 1
 
3.4%
187530 1
 
3.4%
129800 1
 
3.4%
332700 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
35840 1
3.4%
60100 1
3.4%
72970 1
3.4%
105430 1
3.4%
108000 1
3.4%
119810 1
3.4%
127700 1
3.4%
129800 1
3.4%
135000 1
3.4%
152500 1
3.4%
ValueCountFrequency (%)
357800 1
3.4%
332700 1
3.4%
299310 1
3.4%
297320 1
3.4%
281990 1
3.4%
279030 1
3.4%
274840 1
3.4%
265760 1
3.4%
255510 1
3.4%
239650 1
3.4%

30대이용금액
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133998.62
Minimum20100
Maximum260000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:36.002816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100
5-th percentile34000
Q1112110
median131000
Q3160000
95-th percentile215760
Maximum260000
Range239900
Interquartile range (IQR)47890

Descriptive statistics

Standard deviation52780.516
Coefficient of variation (CV)0.3938885
Kurtosis0.91822607
Mean133998.62
Median Absolute Deviation (MAD)26600
Skewness-0.044593654
Sum3885960
Variance2.7857829 × 109
MonotonicityNot monotonic
2023-12-10T22:59:36.255134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
131000 2
 
6.9%
34000 2
 
6.9%
20100 1
 
3.4%
260000 1
 
3.4%
151300 1
 
3.4%
120000 1
 
3.4%
112000 1
 
3.4%
171000 1
 
3.4%
91450 1
 
3.4%
128000 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
20100 1
3.4%
34000 2
6.9%
91450 1
3.4%
94320 1
3.4%
100000 1
3.4%
112000 1
3.4%
112110 1
3.4%
112700 1
3.4%
118700 1
3.4%
120000 1
3.4%
ValueCountFrequency (%)
260000 1
3.4%
231400 1
3.4%
192300 1
3.4%
190000 1
3.4%
182000 1
3.4%
171000 1
3.4%
162700 1
3.4%
160000 1
3.4%
157600 1
3.4%
151300 1
3.4%

40대이용금액
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)76.9%
Missing16
Missing (%)55.2%
Infinite0
Infinite (%)0.0%
Mean23138.462
Minimum10000
Maximum53700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T22:59:36.509362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile10000
Q110500
median21000
Q331200
95-th percentile52080
Maximum53700
Range43700
Interquartile range (IQR)20700

Descriptive statistics

Standard deviation15422.145
Coefficient of variation (CV)0.66651559
Kurtosis0.084664497
Mean23138.462
Median Absolute Deviation (MAD)10500
Skewness1.0855708
Sum300800
Variance2.3784256 × 108
MonotonicityNot monotonic
2023-12-10T22:59:36.711181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10500 3
 
10.3%
10000 2
 
6.9%
21000 1
 
3.4%
53700 1
 
3.4%
23700 1
 
3.4%
31200 1
 
3.4%
51000 1
 
3.4%
34700 1
 
3.4%
12500 1
 
3.4%
21500 1
 
3.4%
(Missing) 16
55.2%
ValueCountFrequency (%)
10000 2
6.9%
10500 3
10.3%
12500 1
 
3.4%
21000 1
 
3.4%
21500 1
 
3.4%
23700 1
 
3.4%
31200 1
 
3.4%
34700 1
 
3.4%
51000 1
 
3.4%
53700 1
 
3.4%
ValueCountFrequency (%)
53700 1
 
3.4%
51000 1
 
3.4%
34700 1
 
3.4%
31200 1
 
3.4%
23700 1
 
3.4%
21500 1
 
3.4%
21000 1
 
3.4%
12500 1
 
3.4%
10500 3
10.3%
10000 2
6.9%

50대이용금액
Categorical

IMBALANCE 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
24 
20000
 
1
10500
 
1
21500
 
1
22000
 
1

Length

Max length5
Median length4
Mean length4.1724138
Min length4

Unique

Unique5 ?
Unique (%)17.2%

Sample

1st row20000
2nd row<NA>
3rd row10500
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 24
82.8%
20000 1
 
3.4%
10500 1
 
3.4%
21500 1
 
3.4%
22000 1
 
3.4%
12500 1
 
3.4%

Length

2023-12-10T22:59:37.004542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:37.316374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
82.8%
20000 1
 
3.4%
10500 1
 
3.4%
21500 1
 
3.4%
22000 1
 
3.4%
12500 1
 
3.4%

60대이용금액
Categorical

IMBALANCE 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
23 
10500
3 
13000
 
1
20000
 
1
21000
 
1

Length

Max length5
Median length4
Mean length4.2068966
Min length4

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row10500
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row10500

Common Values

ValueCountFrequency (%)
<NA> 23
79.3%
10500 3
 
10.3%
13000 1
 
3.4%
20000 1
 
3.4%
21000 1
 
3.4%

Length

2023-12-10T22:59:37.542053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:37.752778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
79.3%
10500 3
 
10.3%
13000 1
 
3.4%
20000 1
 
3.4%
21000 1
 
3.4%

70대이용금액
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
28 
17000
 
1

Length

Max length5
Median length4
Mean length4.0344828
Min length4

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
96.6%
17000 1
 
3.4%

Length

2023-12-10T22:59:37.958405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:59:38.129715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
96.6%
17000 1
 
3.4%

80대이상이용금액
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

Sample

기준일자가맹점식별번호가맹점명가맹점업종코드가맹점업종가맹점시도가맹점시군구가맹점행정동가맹점행정동코드위도경도총이용건수개인이용건수법인이용건수남성이용건수여성이용건수10대이용건수20대이용건수30대이용건수40대이용건수50대이용건수60대이용건수70대이용건수80대이상이용건수총이용금액개인이용금액법인이용금액남성이용금액여성이용금액10대이용금액20대이용금액30대이용금액40대이용금액50대이용금액60대이용금액70대이용금액80대이상이용금액
02023-01-0111112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.9102342112939<NA>72<NA>21<NA><NA>216570123570930003200091570<NA>7297020100<NA>2000010500<NA><NA>
12023-01-0211112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.9102341811765<NA>632<NA><NA><NA><NA>186300115100712006700048100<NA>601003400021000<NA><NA><NA><NA>
22023-01-0311112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234159618<NA>4311<NA><NA><NA>15980090840689601050080340<NA>35840340001050010500<NA><NA><NA>
32023-01-0411112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234393181021<NA>2011<NA><NA><NA><NA><NA>466700313700153000107300206400<NA>201000112700<NA><NA><NA><NA><NA>
42023-01-0511112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234454232121<NA>28121<NA>1<NA><NA>51000042300087000216000207000<NA>28199012001010500<NA>10500<NA><NA>
52023-01-0611112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234605642234<NA>32155211<NA>60361056211041500227400334710<NA>29931015760053700215001300017000<NA>
62023-01-0711112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.9102343827111413<NA>189<NA><NA><NA><NA><NA>385410272710112700146800125910<NA>17839094320<NA><NA><NA><NA><NA>
72023-01-0811112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.91023442348628<NA>15161<NA>2<NA><NA>4252003452008000067350277850<NA>15250016270010000<NA>20000<NA><NA>
82023-01-0911112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234423571817<NA>2213<NA><NA><NA><NA><NA>42650035000076500183750166250<NA>219000131000<NA><NA><NA><NA><NA>
92023-01-1011112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234575341934<NA>3518<NA><NA><NA><NA><NA>58932053980049520190000349800<NA>357800182000<NA><NA><NA><NA><NA>
기준일자가맹점식별번호가맹점명가맹점업종코드가맹점업종가맹점시도가맹점시군구가맹점행정동가맹점행정동코드위도경도총이용건수개인이용건수법인이용건수남성이용건수여성이용건수10대이용건수20대이용건수30대이용건수40대이용건수50대이용건수60대이용건수70대이용건수80대이상이용건수총이용금액개인이용금액법인이용금액남성이용금액여성이용금액10대이용금액20대이용금액30대이용금액40대이용금액50대이용금액60대이용금액70대이용금액80대이상이용금액
192023-01-2011112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.91023428217165<NA>1011<NA><NA><NA><NA><NA>2875402175407000016370053840<NA>105430112110<NA><NA><NA><NA><NA>
202023-01-2111112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.9102343929101316<NA>1316<NA><NA><NA><NA><NA>395500295000100500135400159600<NA>135000160000<NA><NA><NA><NA><NA>
212023-01-2211112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.9102345443111924<NA>3310<NA><NA><NA><NA><NA>551600432700118900190000242700<NA>332700100000<NA><NA><NA><NA><NA>
222023-01-2311112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234362791512<NA>13131<NA><NA><NA><NA>646300271300375000155200116100<NA>12980013100010500<NA><NA><NA><NA>
232023-01-2411112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234433671422<NA>201231<NA><NA><NA>1132730362730770000146800215930<NA>1875301280003470012500<NA><NA><NA>
242023-01-2511112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234423391617<NA>249<NA><NA><NA><NA><NA>42640033110095300169200161900<NA>23965091450<NA><NA><NA><NA><NA>
252023-01-2611112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234403461420<NA>1717<NA><NA><NA><NA><NA>683520343520340000145000198520<NA>172520171000<NA><NA><NA><NA><NA>
262023-01-2711112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234453871523<NA>26111<NA><NA><NA><NA>45951038001079500156700223310<NA>25551011200012500<NA><NA><NA><NA>
272023-01-2811112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234474251626<NA>28122<NA><NA><NA><NA>1077530420530657000165400255130<NA>27903012000021500<NA><NA><NA><NA>
282023-01-2911112345가나정육식당F16403소고기구이전문점서울영등포구여의도동115605600037.52376126.910234362791215<NA>1215<NA><NA><NA><NA><NA>524810271110253700123000148110<NA>119810151300<NA><NA><NA><NA><NA>