Overview

Dataset statistics

Number of variables64
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory279.9 KiB
Average record size in memory573.3 B

Variable types

Numeric60
Text1
Categorical3

Dataset

Description샘플 데이터
AuthorKB국민카드
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=5

Alerts

영업개월수별가맹점수당월개업(COUNT_OPEN_MUN) is highly imbalanced (75.1%)Imbalance
30대매출금액의합(CASH_AGE30) is highly skewed (γ1 = 21.09016481)Skewed
시간3매출금액합(11:01~14:00)(CASH_T3) is highly skewed (γ1 = 21.11705222)Skewed
남성매출건수합(COUNT_MAN) is highly skewed (γ1 = 21.77958576)Skewed
10대매출건수의합(COUNT_AGE10) is highly skewed (γ1 = 21.32342831)Skewed
20대매출건수의합(COUNT_AGE20) is highly skewed (γ1 = 20.27123067)Skewed
20대재방문매출건수의합(REVISIT_COUNT20) is highly skewed (γ1 = 21.86445534)Skewed
여성매출금액합(CASH_WOMAN) has unique valuesUnique
법인매출금액합(CASH_COMP) has 37 (7.4%) zerosZeros
10대매출금액의합(CASH_AGE10) has 143 (28.6%) zerosZeros
20대매출금액의합(CASH_AGE20) has 24 (4.8%) zerosZeros
50대매출금액의합(CASH_AGE50) has 8 (1.6%) zerosZeros
60대매출금액의합(CASH_AGE60) has 22 (4.4%) zerosZeros
월요일매출금액합(CASH_W2) has 6 (1.2%) zerosZeros
목요일매출금액합(CASH_W5) has 8 (1.6%) zerosZeros
금요일매출금액합(CASH_W6) has 9 (1.8%) zerosZeros
토요일매출금액합(CASH_W7) has 48 (9.6%) zerosZeros
시간1매출금액합(00:00~06:00)(CASH_T1) has 173 (34.6%) zerosZeros
시간2매출금액합(06:01~11:00)(CASH_T2) has 76 (15.2%) zerosZeros
시간3매출금액합(11:01~14:00)(CASH_T3) has 10 (2.0%) zerosZeros
시간6매출금액합(21:01~24:00)(CASH_T6) has 44 (8.8%) zerosZeros
법인매출건수합(COUNT_COMP) has 30 (6.0%) zerosZeros
10대매출건수의합(COUNT_AGE10) has 130 (26.0%) zerosZeros
20대매출건수의합(COUNT_AGE20) has 23 (4.6%) zerosZeros
30대매출건수의합(COUNT_AGE30) has 7 (1.4%) zerosZeros
50대매출건수의합(COUNT_AGE50) has 12 (2.4%) zerosZeros
60대매출건수의합(COUNT_AGE60) has 28 (5.6%) zerosZeros
목요일매출건수합(COUNT_W5) has 6 (1.2%) zerosZeros
금요일매출건수합(COUNT_W6) has 8 (1.6%) zerosZeros
토요일매출건수합(COUNT_W7) has 47 (9.4%) zerosZeros
시간1매출건수합(00:00~06:00)(COUNT_T1) has 186 (37.2%) zerosZeros
시간2매출건수합(06:01~11:00)(COUNT_T2) has 69 (13.8%) zerosZeros
시간3매출건수합(11:01~14:00)(COUNT_T3) has 6 (1.2%) zerosZeros
시간6매출건수합(21:01~24:00)(COUNT_T6) has 53 (10.6%) zerosZeros
10대재방문매출건수의합(REVISIT_COUNT10) has 371 (74.2%) zerosZeros
20대재방문매출건수의합(REVISIT_COUNT20) has 186 (37.2%) zerosZeros
30대재방문매출건수의합(REVISIT_COUNT30) has 102 (20.4%) zerosZeros
40대재방문매출건수의합(REVISIT_COUNT40) has 128 (25.6%) zerosZeros
50대재방문매출건수의합(REVISIT_COUNT50) has 165 (33.0%) zerosZeros
60대재방문매출건수의합(REVISIT_COUNT60) has 229 (45.8%) zerosZeros
영업개월수별가맹점수6개월미만(COUNT_06_MUN) has 332 (66.4%) zerosZeros
영업개월수별가맹점수6개월~1년미만(COUNT_01_YEAR) has 288 (57.6%) zerosZeros
영업개월수별가맹점수1년~2년미만(COUNT_02_YEAR) has 200 (40.0%) zerosZeros
영업개월수별가맹점수2년~3년미만(COUNT_03_YEAR) has 242 (48.4%) zerosZeros
영업개월수별가맹점수3년~4년미만(COUNT_04_YEAR) has 286 (57.2%) zerosZeros
영업대월수별가맹점수4년~5년미만(COUNT_05_YEAR) has 324 (64.8%) zerosZeros
영업개월수별가맹점수5년이상(COUNT_05_YEAR_OVER) has 51 (10.2%) zerosZeros

Reproduction

Analysis started2023-12-10 14:57:58.609969
Analysis finished2023-12-10 14:57:59.817770
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월(YMD)
Real number (ℝ)

Distinct30
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201484.79
Minimum201401
Maximum201606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:00.045052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201401
5-th percentile201402.95
Q1201409
median201504
Q3201510
95-th percentile201605
Maximum201606
Range205
Interquartile range (IQR)101

Descriptive statistics

Standard deviation72.323918
Coefficient of variation (CV)0.00035895472
Kurtosis-1.1020027
Mean201484.79
Median Absolute Deviation (MAD)94
Skewness0.33315341
Sum1.007424 × 108
Variance5230.7491
MonotonicityNot monotonic
2023-12-10T23:58:00.340677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
201509 24
 
4.8%
201410 24
 
4.8%
201606 21
 
4.2%
201512 21
 
4.2%
201504 20
 
4.0%
201411 20
 
4.0%
201412 20
 
4.0%
201604 19
 
3.8%
201404 19
 
3.8%
201508 19
 
3.8%
Other values (20) 293
58.6%
ValueCountFrequency (%)
201401 9
 
1.8%
201402 16
3.2%
201403 18
3.6%
201404 19
3.8%
201405 11
2.2%
201406 16
3.2%
201407 18
3.6%
201408 15
3.0%
201409 13
2.6%
201410 24
4.8%
ValueCountFrequency (%)
201606 21
4.2%
201605 11
2.2%
201604 19
3.8%
201603 14
2.8%
201602 13
2.6%
201601 14
2.8%
201512 21
4.2%
201511 11
2.2%
201510 15
3.0%
201509 24
4.8%

블록코드(BLCK_CD)
Text

Distinct297
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T23:58:01.014956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.684
Min length3

Characters and Unicode

Total characters2842
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

Unique176 ?
Unique (%)35.2%

Sample

1st row1*2*5*
2nd row3*2*1*
3rd row1*0*4
4th row3*3*0*
5th row2*6*7*
ValueCountFrequency (%)
2*8*1 7
 
1.4%
2*4*9 6
 
1.2%
3*5*0 6
 
1.2%
2*6*7 5
 
1.0%
2*0*0 5
 
1.0%
2*9*9 5
 
1.0%
3*3*0 5
 
1.0%
2*4*4 5
 
1.0%
2*8*2 5
 
1.0%
2*9*8 5
 
1.0%
Other values (232) 446
89.2%
2023-12-10T23:58:01.980718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1360
47.9%
2 349
 
12.3%
1 243
 
8.6%
3 191
 
6.7%
4 119
 
4.2%
0 112
 
3.9%
9 108
 
3.8%
7 102
 
3.6%
8 98
 
3.4%
6 82
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1482
52.1%
Other Punctuation 1360
47.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 349
23.5%
1 243
16.4%
3 191
12.9%
4 119
 
8.0%
0 112
 
7.6%
9 108
 
7.3%
7 102
 
6.9%
8 98
 
6.6%
6 82
 
5.5%
5 78
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 1360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2842
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 1360
47.9%
2 349
 
12.3%
1 243
 
8.6%
3 191
 
6.7%
4 119
 
4.2%
0 112
 
3.9%
9 108
 
3.8%
7 102
 
3.6%
8 98
 
3.4%
6 82
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2842
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1360
47.9%
2 349
 
12.3%
1 243
 
8.6%
3 191
 
6.7%
4 119
 
4.2%
0 112
 
3.9%
9 108
 
3.8%
7 102
 
3.6%
8 98
 
3.4%
6 82
 
2.9%

대분류업종코드(SVC_L_CD)
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
SQ
227 
SF
168 
SD
105 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSF
2nd rowSD
3rd rowSQ
4th rowSF
5th rowSD

Common Values

ValueCountFrequency (%)
SQ 227
45.4%
SF 168
33.6%
SD 105
21.0%

Length

2023-12-10T23:58:02.277454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:02.476620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sq 227
45.4%
sf 168
33.6%
sd 105
21.0%

대분류업종명(SVC_L_NM)
Categorical

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
외식업
201 
서비스업
178 
도소매업
121 

Length

Max length4
Median length4
Mean length3.598
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서비스업
2nd row외식업
3rd row외식업
4th row외식업
5th row도소매업

Common Values

ValueCountFrequency (%)
외식업 201
40.2%
서비스업 178
35.6%
도소매업 121
24.2%

Length

2023-12-10T23:58:02.701524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:02.873257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외식업 201
40.2%
서비스업 178
35.6%
도소매업 121
24.2%

당월가맹점수(BUSIN_CNT)
Real number (ℝ)

Distinct28
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.858
Minimum3
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:03.072209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median5
Q38
95-th percentile18
Maximum51
Range48
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.8957065
Coefficient of variation (CV)0.85968307
Kurtosis16.242981
Mean6.858
Median Absolute Deviation (MAD)2
Skewness3.4157902
Sum3429
Variance34.759355
MonotonicityNot monotonic
2023-12-10T23:58:03.287644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 136
27.2%
4 93
18.6%
5 58
11.6%
6 46
 
9.2%
7 34
 
6.8%
8 24
 
4.8%
9 21
 
4.2%
10 14
 
2.8%
12 11
 
2.2%
13 8
 
1.6%
Other values (18) 55
11.0%
ValueCountFrequency (%)
3 136
27.2%
4 93
18.6%
5 58
11.6%
6 46
 
9.2%
7 34
 
6.8%
8 24
 
4.8%
9 21
 
4.2%
10 14
 
2.8%
11 7
 
1.4%
12 11
 
2.2%
ValueCountFrequency (%)
51 1
0.2%
44 2
0.4%
40 1
0.2%
37 1
0.2%
32 2
0.4%
28 1
0.2%
24 1
0.2%
23 2
0.4%
22 2
0.4%
21 2
0.4%

법인매출금액합(CASH_COMP)
Real number (ℝ)

ZEROS 

Distinct452
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4205821.5
Minimum0
Maximum5.2173538 × 108
Zeros37
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:03.530409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1153750
median664050
Q31906700
95-th percentile14251129
Maximum5.2173538 × 108
Range5.2173538 × 108
Interquartile range (IQR)1752950

Descriptive statistics

Standard deviation25693837
Coefficient of variation (CV)6.1091127
Kurtosis335.44134
Mean4205821.5
Median Absolute Deviation (MAD)614900
Skewness17.254186
Sum2.1029107 × 109
Variance6.6017328 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:03.894613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
7.4%
60000 4
 
0.8%
33000 2
 
0.4%
555000 2
 
0.4%
35000 2
 
0.4%
278000 2
 
0.4%
143000 2
 
0.4%
658500 2
 
0.4%
212000 2
 
0.4%
50000 2
 
0.4%
Other values (442) 443
88.6%
ValueCountFrequency (%)
0 37
7.4%
3600 1
 
0.2%
4000 1
 
0.2%
5800 1
 
0.2%
6000 1
 
0.2%
7700 1
 
0.2%
8000 1
 
0.2%
10000 2
 
0.4%
12000 1
 
0.2%
13000 1
 
0.2%
ValueCountFrequency (%)
521735385 1
0.2%
165786617 1
0.2%
135152679 1
0.2%
57540765 1
0.2%
45822040 1
0.2%
39358890 1
0.2%
36366000 1
0.2%
30108360 1
0.2%
29627600 1
0.2%
23472590 1
0.2%

남성매출금액합(CASH_MAN)
Real number (ℝ)

Distinct499
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13328824
Minimum0
Maximum1.1949014 × 109
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:04.268417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile472025
Q11869175
median4990182.5
Q311653550
95-th percentile39395215
Maximum1.1949014 × 109
Range1.1949014 × 109
Interquartile range (IQR)9784375

Descriptive statistics

Standard deviation57965328
Coefficient of variation (CV)4.3488705
Kurtosis350.68665
Mean13328824
Median Absolute Deviation (MAD)3613395
Skewness17.660298
Sum6.6644118 × 109
Variance3.3599792 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:04.577930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3549500 2
 
0.4%
6335020 1
 
0.2%
1576000 1
 
0.2%
4541840 1
 
0.2%
5209200 1
 
0.2%
1329000 1
 
0.2%
9811000 1
 
0.2%
40337330 1
 
0.2%
13198550 1
 
0.2%
16179510 1
 
0.2%
Other values (489) 489
97.8%
ValueCountFrequency (%)
0 1
0.2%
15000 1
0.2%
31000 1
0.2%
123500 1
0.2%
146800 1
0.2%
162000 1
0.2%
163000 1
0.2%
167430 1
0.2%
182100 1
0.2%
193600 1
0.2%
ValueCountFrequency (%)
1194901420 1
0.2%
381320527 1
0.2%
167549370 1
0.2%
155591975 1
0.2%
122354500 1
0.2%
111827660 1
0.2%
75720750 1
0.2%
74029440 1
0.2%
63133865 1
0.2%
59421650 1
0.2%

여성매출금액합(CASH_WOMAN)
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15093537
Minimum0
Maximum9.3415864 × 108
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:04.864503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile468900
Q11661475
median4376850
Q311216880
95-th percentile47559481
Maximum9.3415864 × 108
Range9.3415864 × 108
Interquartile range (IQR)9555405

Descriptive statistics

Standard deviation55500402
Coefficient of variation (CV)3.6770973
Kurtosis181.65093
Mean15093537
Median Absolute Deviation (MAD)3257435
Skewness12.323098
Sum7.5467683 × 109
Variance3.0802946 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:05.156803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8123000 1
 
0.2%
1467460 1
 
0.2%
835600 1
 
0.2%
3432000 1
 
0.2%
38860210 1
 
0.2%
13738350 1
 
0.2%
2876100 1
 
0.2%
1526800 1
 
0.2%
30604070 1
 
0.2%
11475290 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
0 1
0.2%
62000 1
0.2%
71300 1
0.2%
110000 1
0.2%
122000 1
0.2%
140000 1
0.2%
150000 1
0.2%
181350 1
0.2%
193000 1
0.2%
238000 1
0.2%
ValueCountFrequency (%)
934158640 1
0.2%
630982271 1
0.2%
216800580 1
0.2%
213483910 1
0.2%
212978255 1
0.2%
187641900 1
0.2%
157140350 1
0.2%
127157185 1
0.2%
111150940 1
0.2%
107566345 1
0.2%

10대매출금액의합(CASH_AGE10)
Real number (ℝ)

ZEROS 

Distinct329
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean333652.82
Minimum0
Maximum14754480
Zeros143
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:05.457059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median47850
Q3226250
95-th percentile1458642.5
Maximum14754480
Range14754480
Interquartile range (IQR)226250

Descriptive statistics

Standard deviation1116353.7
Coefficient of variation (CV)3.3458541
Kurtosis97.132368
Mean333652.82
Median Absolute Deviation (MAD)47850
Skewness8.7332161
Sum1.6682641 × 108
Variance1.2462455 × 1012
MonotonicityNot monotonic
2023-12-10T23:58:05.831427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 143
28.6%
10000 5
 
1.0%
20000 4
 
0.8%
5500 3
 
0.6%
4000 3
 
0.6%
25000 3
 
0.6%
32000 2
 
0.4%
11000 2
 
0.4%
8000 2
 
0.4%
13700 2
 
0.4%
Other values (319) 331
66.2%
ValueCountFrequency (%)
0 143
28.6%
2800 1
 
0.2%
2900 1
 
0.2%
3000 1
 
0.2%
3600 1
 
0.2%
4000 3
 
0.6%
4500 1
 
0.2%
5000 2
 
0.4%
5500 3
 
0.6%
6000 1
 
0.2%
ValueCountFrequency (%)
14754480 1
0.2%
13522130 1
0.2%
5328000 1
0.2%
5297110 1
0.2%
5214280 1
0.2%
5154460 1
0.2%
4284180 1
0.2%
4258300 1
0.2%
3581800 1
0.2%
3306590 1
0.2%

20대매출금액의합(CASH_AGE20)
Real number (ℝ)

ZEROS 

Distinct470
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4554637.6
Minimum0
Maximum1.9329368 × 108
Zeros24
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:06.169865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7700
Q1353875
median1166000
Q33783732.5
95-th percentile17323817
Maximum1.9329368 × 108
Range1.9329368 × 108
Interquartile range (IQR)3429857.5

Descriptive statistics

Standard deviation12678548
Coefficient of variation (CV)2.7836569
Kurtosis108.50598
Mean4554637.6
Median Absolute Deviation (MAD)1041950
Skewness8.8245077
Sum2.2773188 × 109
Variance1.6074559 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:06.945349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
4.8%
30000 2
 
0.4%
557600 2
 
0.4%
89000 2
 
0.4%
608500 2
 
0.4%
8000 2
 
0.4%
15000 2
 
0.4%
156000 2
 
0.4%
4225100 1
 
0.2%
740000 1
 
0.2%
Other values (460) 460
92.0%
ValueCountFrequency (%)
0 24
4.8%
2000 1
 
0.2%
8000 2
 
0.4%
8300 1
 
0.2%
9000 1
 
0.2%
10000 1
 
0.2%
11900 1
 
0.2%
15000 2
 
0.4%
17000 1
 
0.2%
20700 1
 
0.2%
ValueCountFrequency (%)
193293680 1
0.2%
87804462 1
0.2%
84088390 1
0.2%
80783820 1
0.2%
61980255 1
0.2%
50614395 1
0.2%
48814390 1
0.2%
47198520 1
0.2%
42033605 1
0.2%
41781900 1
0.2%

30대매출금액의합(CASH_AGE30)
Real number (ℝ)

SKEWED 

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7912340.5
Minimum0
Maximum1.1887697 × 109
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:07.244295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile190450
Q1954825
median2269450
Q35660870
95-th percentile19993063
Maximum1.1887697 × 109
Range1.1887697 × 109
Interquartile range (IQR)4706045

Descriptive statistics

Standard deviation53988737
Coefficient of variation (CV)6.8233586
Kurtosis461.23141
Mean7912340.5
Median Absolute Deviation (MAD)1676000
Skewness21.090165
Sum3.9561703 × 109
Variance2.9147837 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:07.578585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
1.0%
402000 2
 
0.4%
180000 2
 
0.4%
594100 1
 
0.2%
9622330 1
 
0.2%
5147000 1
 
0.2%
455000 1
 
0.2%
217000 1
 
0.2%
11885280 1
 
0.2%
1324500 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
0 5
1.0%
100 1
 
0.2%
33000 1
 
0.2%
37600 1
 
0.2%
50860 1
 
0.2%
54000 1
 
0.2%
66100 1
 
0.2%
66500 1
 
0.2%
81500 1
 
0.2%
111800 1
 
0.2%
ValueCountFrequency (%)
1188769724 1
0.2%
110529950 1
0.2%
96224568 1
0.2%
82373920 1
0.2%
64739900 1
0.2%
59257690 1
0.2%
53237949 1
0.2%
50338200 1
0.2%
48862470 1
0.2%
43955150 1
0.2%

40대매출금액의합(CASH_AGE40)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6837403.7
Minimum0
Maximum4.1108792 × 108
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:07.866422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile228825
Q11079175
median2681700
Q35590187.5
95-th percentile21619929
Maximum4.1108792 × 108
Range4.1108792 × 108
Interquartile range (IQR)4511012.5

Descriptive statistics

Standard deviation23889759
Coefficient of variation (CV)3.493981
Kurtosis194.77384
Mean6837403.7
Median Absolute Deviation (MAD)1847625
Skewness12.886841
Sum3.4187019 × 109
Variance5.7072058 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:08.141380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
0.6%
1275000 2
 
0.4%
110000 2
 
0.4%
1606900 2
 
0.4%
1413000 2
 
0.4%
1055100 1
 
0.2%
11013800 1
 
0.2%
24866490 1
 
0.2%
2012100 1
 
0.2%
1284200 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
0 3
0.6%
39600 1
 
0.2%
40000 1
 
0.2%
49400 1
 
0.2%
50000 1
 
0.2%
55000 1
 
0.2%
82000 1
 
0.2%
86000 1
 
0.2%
94500 1
 
0.2%
103200 1
 
0.2%
ValueCountFrequency (%)
411087920 1
0.2%
268428080 1
0.2%
141887591 1
0.2%
68790980 1
0.2%
62161040 1
0.2%
52558200 1
0.2%
50412330 1
0.2%
49534890 1
0.2%
41498690 1
0.2%
38607150 1
0.2%

50대매출금액의합(CASH_AGE50)
Real number (ℝ)

ZEROS 

Distinct482
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3446447.9
Minimum0
Maximum88779700
Zeros8
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:08.414318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile73850
Q1548150
median1323600
Q33535562.5
95-th percentile12375739
Maximum88779700
Range88779700
Interquartile range (IQR)2987412.5

Descriptive statistics

Standard deviation7149058.1
Coefficient of variation (CV)2.0743264
Kurtosis66.355136
Mean3446447.9
Median Absolute Deviation (MAD)1007480
Skewness6.9475172
Sum1.723224 × 109
Variance5.1109032 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:08.714018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
1.6%
370000 4
 
0.8%
220000 2
 
0.4%
55000 2
 
0.4%
593000 2
 
0.4%
379000 2
 
0.4%
600000 2
 
0.4%
40000 2
 
0.4%
142000 2
 
0.4%
908000 2
 
0.4%
Other values (472) 472
94.4%
ValueCountFrequency (%)
0 8
1.6%
22000 1
 
0.2%
27000 1
 
0.2%
30000 1
 
0.2%
34000 1
 
0.2%
37000 1
 
0.2%
38000 1
 
0.2%
40000 2
 
0.4%
49400 1
 
0.2%
55000 2
 
0.4%
ValueCountFrequency (%)
88779700 1
0.2%
76447650 1
0.2%
44048520 1
0.2%
38714324 1
0.2%
37477650 1
0.2%
34377700 1
0.2%
27796700 1
0.2%
27273775 1
0.2%
26702600 1
0.2%
18857080 1
0.2%

60대매출금액의합(CASH_AGE60)
Real number (ℝ)

ZEROS 

Distinct464
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2036631.2
Minimum0
Maximum59820750
Zeros22
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:09.092001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9830
Q1191425
median664705
Q31943587.5
95-th percentile7963878
Maximum59820750
Range59820750
Interquartile range (IQR)1752162.5

Descriptive statistics

Standard deviation4852753.3
Coefficient of variation (CV)2.3827355
Kurtosis67.799328
Mean2036631.2
Median Absolute Deviation (MAD)578360
Skewness7.1806525
Sum1.0183156 × 109
Variance2.3549215 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:09.397118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
 
4.4%
12000 3
 
0.6%
18000 2
 
0.4%
298000 2
 
0.4%
177900 2
 
0.4%
120000 2
 
0.4%
50000 2
 
0.4%
139000 2
 
0.4%
14000 2
 
0.4%
90000 2
 
0.4%
Other values (454) 459
91.8%
ValueCountFrequency (%)
0 22
4.4%
100 1
 
0.2%
5940 1
 
0.2%
6600 1
 
0.2%
10000 2
 
0.4%
10500 1
 
0.2%
12000 3
 
0.6%
13000 1
 
0.2%
13200 1
 
0.2%
14000 2
 
0.4%
ValueCountFrequency (%)
59820750 1
0.2%
50338490 1
0.2%
36277150 1
0.2%
33148090 1
0.2%
22292161 1
0.2%
16439810 1
0.2%
16418975 1
0.2%
16216905 1
0.2%
15852970 1
0.2%
14770908 1
0.2%

일요일매출금액합(CASH_W1)
Real number (ℝ)

Distinct489
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3951216.2
Minimum0
Maximum2.351693 × 108
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:09.734475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile118915
Q1656625
median1510550
Q33754150
95-th percentile12218215
Maximum2.351693 × 108
Range2.351693 × 108
Interquartile range (IQR)3097525

Descriptive statistics

Standard deviation12568991
Coefficient of variation (CV)3.1810436
Kurtosis239.65072
Mean3951216.2
Median Absolute Deviation (MAD)1100645
Skewness13.973141
Sum1.9756081 × 109
Variance1.5797953 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:10.032056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
1.0%
472000 2
 
0.4%
939000 2
 
0.4%
150000 2
 
0.4%
128000 2
 
0.4%
896600 2
 
0.4%
275000 2
 
0.4%
170000 2
 
0.4%
1513800 1
 
0.2%
2624620 1
 
0.2%
Other values (479) 479
95.8%
ValueCountFrequency (%)
0 5
1.0%
15000 1
 
0.2%
40000 1
 
0.2%
40500 1
 
0.2%
53970 1
 
0.2%
54000 1
 
0.2%
59000 1
 
0.2%
66700 1
 
0.2%
70300 1
 
0.2%
71700 1
 
0.2%
ValueCountFrequency (%)
235169300 1
0.2%
108001480 1
0.2%
48484800 1
0.2%
44893290 1
0.2%
40322504 1
0.2%
29924410 1
0.2%
29567340 1
0.2%
26460360 1
0.2%
25463650 1
0.2%
24862125 1
0.2%

월요일매출금액합(CASH_W2)
Real number (ℝ)

ZEROS 

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3176984.3
Minimum0
Maximum1.0971777 × 108
Zeros6
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:10.335524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile98290
Q1527212.5
median1360934
Q33326325
95-th percentile11316388
Maximum1.0971777 × 108
Range1.0971777 × 108
Interquartile range (IQR)2799112.5

Descriptive statistics

Standard deviation7017963.9
Coefficient of variation (CV)2.2090018
Kurtosis121.4811
Mean3176984.3
Median Absolute Deviation (MAD)1053700
Skewness9.3835104
Sum1.5884922 × 109
Variance4.9251818 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:10.635384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
1.2%
100000 2
 
0.4%
196200 1
 
0.2%
2640300 1
 
0.2%
398000 1
 
0.2%
845500 1
 
0.2%
677500 1
 
0.2%
2768840 1
 
0.2%
4525000 1
 
0.2%
551760 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
0 6
1.2%
2000 1
 
0.2%
8000 1
 
0.2%
12000 1
 
0.2%
15400 1
 
0.2%
26000 1
 
0.2%
30000 1
 
0.2%
34000 1
 
0.2%
37700 1
 
0.2%
39700 1
 
0.2%
ValueCountFrequency (%)
109717770 1
0.2%
65052757 1
0.2%
44268900 1
0.2%
40033285 1
0.2%
21884270 1
0.2%
20873650 1
0.2%
19624435 1
0.2%
18743930 1
0.2%
18434170 1
0.2%
17345600 1
0.2%

화요일매출금액합(CASH_W3)
Real number (ℝ)

Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4174599.5
Minimum0
Maximum1.0989597 × 108
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:10.907920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile157195
Q1654250
median1529985
Q33526775
95-th percentile16809889
Maximum1.0989597 × 108
Range1.0989597 × 108
Interquartile range (IQR)2872525

Descriptive statistics

Standard deviation9152836.4
Coefficient of variation (CV)2.1925065
Kurtosis62.472545
Mean4174599.5
Median Absolute Deviation (MAD)1058300
Skewness6.7954599
Sum2.0872998 × 109
Variance8.3774415 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:11.165481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
464000 2
 
0.4%
400000 2
 
0.4%
541000 2
 
0.4%
437500 1
 
0.2%
3121400 1
 
0.2%
759700 1
 
0.2%
1700000 1
 
0.2%
1105500 1
 
0.2%
2821800 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
0 4
0.8%
15000 1
 
0.2%
19200 1
 
0.2%
20300 1
 
0.2%
25000 1
 
0.2%
27900 1
 
0.2%
47500 1
 
0.2%
53500 1
 
0.2%
54000 1
 
0.2%
62000 1
 
0.2%
ValueCountFrequency (%)
109895970 1
0.2%
94249700 1
0.2%
76730300 1
0.2%
42212145 1
0.2%
37244500 1
0.2%
33950030 1
0.2%
33137860 1
0.2%
32047080 1
0.2%
29209070 1
0.2%
28979330 1
0.2%

수요일매출금액합(CASH_W4)
Real number (ℝ)

Distinct482
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6937208.4
Minimum0
Maximum6.6193085 × 108
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:11.443401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile111475
Q1607000
median1506385
Q33751737.5
95-th percentile15623937
Maximum6.6193085 × 108
Range6.6193085 × 108
Interquartile range (IQR)3144737.5

Descriptive statistics

Standard deviation42878953
Coefficient of variation (CV)6.1810097
Kurtosis170.69107
Mean6937208.4
Median Absolute Deviation (MAD)1157500
Skewness12.78389
Sum3.4686042 × 109
Variance1.8386046 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:11.720109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
290000 3
 
0.6%
300000 3
 
0.6%
320000 2
 
0.4%
55000 2
 
0.4%
1065000 2
 
0.4%
57000 2
 
0.4%
206000 2
 
0.4%
207000 2
 
0.4%
340000 2
 
0.4%
Other values (472) 476
95.2%
ValueCountFrequency (%)
0 4
0.8%
8000 1
 
0.2%
23300 1
 
0.2%
39100 1
 
0.2%
39900 1
 
0.2%
40000 1
 
0.2%
43000 1
 
0.2%
44500 1
 
0.2%
54000 1
 
0.2%
55000 2
0.4%
ValueCountFrequency (%)
661930850 1
0.2%
510157100 1
0.2%
457675530 1
0.2%
88461625 1
0.2%
63518500 1
0.2%
49873166 1
0.2%
40041800 1
0.2%
37134780 1
0.2%
37021160 1
0.2%
35874040 1
0.2%

목요일매출금액합(CASH_W5)
Real number (ℝ)

ZEROS 

Distinct488
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6369896.9
Minimum0
Maximum9.9306977 × 108
Zeros8
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:12.045697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76900
Q1612500
median1501970
Q33483362.5
95-th percentile14662806
Maximum9.9306977 × 108
Range9.9306977 × 108
Interquartile range (IQR)2870862.5

Descriptive statistics

Standard deviation48140394
Coefficient of variation (CV)7.5574841
Kurtosis363.82434
Mean6369896.9
Median Absolute Deviation (MAD)1125920
Skewness18.422699
Sum3.1849484 × 109
Variance2.3174976 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:12.315914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
1.6%
10000 3
 
0.6%
534500 2
 
0.4%
725000 2
 
0.4%
8000 2
 
0.4%
1875000 1
 
0.2%
662300 1
 
0.2%
435000 1
 
0.2%
11894513 1
 
0.2%
650000 1
 
0.2%
Other values (478) 478
95.6%
ValueCountFrequency (%)
0 8
1.6%
8000 2
 
0.4%
10000 3
 
0.6%
15000 1
 
0.2%
15400 1
 
0.2%
18000 1
 
0.2%
30000 1
 
0.2%
34470 1
 
0.2%
37000 1
 
0.2%
40000 1
 
0.2%
ValueCountFrequency (%)
993069770 1
0.2%
397845303 1
0.2%
83485650 1
0.2%
71137270 1
0.2%
40288920 1
0.2%
39859540 1
0.2%
33806735 1
0.2%
33380000 1
0.2%
32915700 1
0.2%
32086730 1
0.2%

금요일매출금액합(CASH_W6)
Real number (ℝ)

ZEROS 

Distinct484
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3974093
Minimum0
Maximum1.6374428 × 108
Zeros9
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:12.594445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile75000
Q1530000
median1375120
Q33604850
95-th percentile13555685
Maximum1.6374428 × 108
Range1.6374428 × 108
Interquartile range (IQR)3074850

Descriptive statistics

Standard deviation10659377
Coefficient of variation (CV)2.6822163
Kurtosis133.93549
Mean3974093
Median Absolute Deviation (MAD)1031970
Skewness10.261778
Sum1.9870465 × 109
Variance1.1362232 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:12.935044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
1.8%
530000 3
 
0.6%
1448900 2
 
0.4%
430000 2
 
0.4%
399000 2
 
0.4%
140000 2
 
0.4%
75000 2
 
0.4%
45000 2
 
0.4%
8211250 1
 
0.2%
12843599 1
 
0.2%
Other values (474) 474
94.8%
ValueCountFrequency (%)
0 9
1.8%
3100 1
 
0.2%
7000 1
 
0.2%
10000 1
 
0.2%
11800 1
 
0.2%
13000 1
 
0.2%
15000 1
 
0.2%
16700 1
 
0.2%
24000 1
 
0.2%
34800 1
 
0.2%
ValueCountFrequency (%)
163744284 1
0.2%
123433810 1
0.2%
61977170 1
0.2%
37717820 1
0.2%
35008065 1
0.2%
31471350 1
0.2%
30429725 1
0.2%
28862590 1
0.2%
26621500 1
0.2%
24525150 1
0.2%

토요일매출금액합(CASH_W7)
Real number (ℝ)

ZEROS 

Distinct440
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3169325
Minimum0
Maximum3.4758077 × 108
Zeros48
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:13.213607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1203132.5
median784600
Q32155362.5
95-th percentile8488375.5
Maximum3.4758077 × 108
Range3.4758077 × 108
Interquartile range (IQR)1952230

Descriptive statistics

Standard deviation17357658
Coefficient of variation (CV)5.476768
Kurtosis321.62952
Mean3169325
Median Absolute Deviation (MAD)711100
Skewness16.989739
Sum1.5846625 × 109
Variance3.0128829 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:13.516188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
9.6%
493000 2
 
0.4%
117000 2
 
0.4%
500000 2
 
0.4%
10300 2
 
0.4%
61000 2
 
0.4%
325000 2
 
0.4%
2042000 2
 
0.4%
80000 2
 
0.4%
43000 2
 
0.4%
Other values (430) 434
86.8%
ValueCountFrequency (%)
0 48
9.6%
7300 1
 
0.2%
10000 1
 
0.2%
10100 1
 
0.2%
10300 2
 
0.4%
15100 1
 
0.2%
25000 1
 
0.2%
32800 1
 
0.2%
33100 1
 
0.2%
33400 1
 
0.2%
ValueCountFrequency (%)
347580773 1
0.2%
148999920 1
0.2%
44273139 1
0.2%
42554102 1
0.2%
27602410 1
0.2%
25568523 1
0.2%
25245490 1
0.2%
23144840 1
0.2%
22900200 1
0.2%
21586340 1
0.2%

시간1매출금액합(00:00~06:00)(CASH_T1)
Real number (ℝ)

ZEROS 

Distinct316
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1562457.4
Minimum0
Maximum47731990
Zeros173
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:13.780932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median248725
Q31309825
95-th percentile5565350
Maximum47731990
Range47731990
Interquartile range (IQR)1309825

Descriptive statistics

Standard deviation4656955.8
Coefficient of variation (CV)2.9805329
Kurtosis54.483781
Mean1562457.4
Median Absolute Deviation (MAD)248725
Skewness6.8659649
Sum7.8122872 × 108
Variance2.1687237 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:14.072297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
34.6%
157000 3
 
0.6%
102000 2
 
0.4%
50000 2
 
0.4%
70000 2
 
0.4%
280000 2
 
0.4%
220000 2
 
0.4%
8000 2
 
0.4%
13000 2
 
0.4%
535000 2
 
0.4%
Other values (306) 308
61.6%
ValueCountFrequency (%)
0 173
34.6%
8000 2
 
0.4%
8500 1
 
0.2%
10000 1
 
0.2%
12000 1
 
0.2%
13000 2
 
0.4%
15000 1
 
0.2%
15200 1
 
0.2%
15600 1
 
0.2%
16000 1
 
0.2%
ValueCountFrequency (%)
47731990 1
0.2%
44312000 1
0.2%
39785590 1
0.2%
38285270 1
0.2%
29512900 1
0.2%
26754000 1
0.2%
26402900 1
0.2%
15056000 1
0.2%
13740700 1
0.2%
11320000 1
0.2%

시간2매출금액합(06:01~11:00)(CASH_T2)
Real number (ℝ)

ZEROS 

Distinct407
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2192588
Minimum0
Maximum1.0528075 × 108
Zeros76
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:15.243049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q146350
median444000
Q31593280
95-th percentile7871201
Maximum1.0528075 × 108
Range1.0528075 × 108
Interquartile range (IQR)1546930

Descriptive statistics

Standard deviation7924366.5
Coefficient of variation (CV)3.6141613
Kurtosis111.08313
Mean2192588
Median Absolute Deviation (MAD)444000
Skewness9.6503956
Sum1.096294 × 109
Variance6.2795585 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:15.559582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 76
 
15.2%
50000 4
 
0.8%
10000 4
 
0.8%
32000 3
 
0.6%
17000 3
 
0.6%
13000 2
 
0.4%
270000 2
 
0.4%
6000 2
 
0.4%
30000 2
 
0.4%
24000 2
 
0.4%
Other values (397) 400
80.0%
ValueCountFrequency (%)
0 76
15.2%
4000 1
 
0.2%
6000 2
 
0.4%
9000 1
 
0.2%
10000 4
 
0.8%
12000 1
 
0.2%
13000 2
 
0.4%
13500 1
 
0.2%
14000 1
 
0.2%
15000 1
 
0.2%
ValueCountFrequency (%)
105280750 1
0.2%
100770237 1
0.2%
56115796 1
0.2%
46851319 1
0.2%
30610900 1
0.2%
28804940 1
0.2%
28272650 1
0.2%
19513000 1
0.2%
18544360 1
0.2%
18247400 1
0.2%

시간3매출금액합(11:01~14:00)(CASH_T3)
Real number (ℝ)

SKEWED  ZEROS 

Distinct489
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9121944.6
Minimum0
Maximum1.6763651 × 109
Zeros10
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:15.845509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile70545
Q1608500
median1838750
Q35189227.5
95-th percentile21046520
Maximum1.6763651 × 109
Range1.6763651 × 109
Interquartile range (IQR)4580727.5

Descriptive statistics

Standard deviation76208141
Coefficient of variation (CV)8.3543745
Kurtosis461.70153
Mean9121944.6
Median Absolute Deviation (MAD)1521515
Skewness21.117052
Sum4.5609723 × 109
Variance5.8076808 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:16.136457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
2.0%
65000 2
 
0.4%
1457400 2
 
0.4%
5179160 1
 
0.2%
6142035 1
 
0.2%
9027580 1
 
0.2%
3770600 1
 
0.2%
4909200 1
 
0.2%
4539814 1
 
0.2%
2055000 1
 
0.2%
Other values (479) 479
95.8%
ValueCountFrequency (%)
0 10
2.0%
11000 1
 
0.2%
16700 1
 
0.2%
17800 1
 
0.2%
23000 1
 
0.2%
24500 1
 
0.2%
30000 1
 
0.2%
31700 1
 
0.2%
36000 1
 
0.2%
50000 1
 
0.2%
ValueCountFrequency (%)
1676365070 1
0.2%
173409035 1
0.2%
137338840 1
0.2%
126575190 1
0.2%
103548500 1
0.2%
102877400 1
0.2%
82799220 1
0.2%
76817150 1
0.2%
64328900 1
0.2%
46458881 1
0.2%

시간4매출금액합(14:01~17:00)(CASH_T4)
Real number (ℝ)

Distinct496
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7019293.1
Minimum0
Maximum4.3683062 × 108
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:16.443840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile144470
Q1618450
median2123650
Q35249490
95-th percentile26301119
Maximum4.3683062 × 108
Range4.3683062 × 108
Interquartile range (IQR)4631040

Descriptive statistics

Standard deviation24428306
Coefficient of variation (CV)3.4801661
Kurtosis203.46443
Mean7019293.1
Median Absolute Deviation (MAD)1712175
Skewness12.687239
Sum3.5096466 × 109
Variance5.9674213 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:16.752755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
934000 2
 
0.4%
0 2
 
0.4%
24000 2
 
0.4%
863500 2
 
0.4%
216400 1
 
0.2%
6699300 1
 
0.2%
3385290 1
 
0.2%
4387000 1
 
0.2%
399450 1
 
0.2%
9912650 1
 
0.2%
Other values (486) 486
97.2%
ValueCountFrequency (%)
0 2
0.4%
12000 1
0.2%
13000 1
0.2%
18000 1
0.2%
21000 1
0.2%
24000 2
0.4%
32000 1
0.2%
41000 1
0.2%
44000 1
0.2%
50000 1
0.2%
ValueCountFrequency (%)
436830620 1
0.2%
213139890 1
0.2%
127198925 1
0.2%
72920050 1
0.2%
70680020 1
0.2%
69422067 1
0.2%
65351590 1
0.2%
64139480 1
0.2%
60651490 1
0.2%
55319790 1
0.2%

시간5매출금액합(17:01~21:00)(CASH_T5)
Real number (ℝ)

Distinct495
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7809317
Minimum0
Maximum1.9641828 × 108
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:17.066616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile242700
Q11304200
median3194550
Q37652837.5
95-th percentile30784380
Maximum1.9641828 × 108
Range1.9641828 × 108
Interquartile range (IQR)6348637.5

Descriptive statistics

Standard deviation15523807
Coefficient of variation (CV)1.9878572
Kurtosis69.360937
Mean7809317
Median Absolute Deviation (MAD)2427500
Skewness6.9355932
Sum3.9046585 × 109
Variance2.4098858 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:17.425372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2028000 2
 
0.4%
3088100 2
 
0.4%
467000 2
 
0.4%
767400 2
 
0.4%
0 2
 
0.4%
4636500 1
 
0.2%
981500 1
 
0.2%
2041400 1
 
0.2%
928000 1
 
0.2%
837000 1
 
0.2%
Other values (485) 485
97.0%
ValueCountFrequency (%)
0 2
0.4%
36500 1
0.2%
50000 1
0.2%
60800 1
0.2%
67410 1
0.2%
68000 1
0.2%
74300 1
0.2%
99000 1
0.2%
100000 1
0.2%
109000 1
0.2%
ValueCountFrequency (%)
196418284 1
0.2%
171436070 1
0.2%
75705140 1
0.2%
73722245 1
0.2%
58225445 1
0.2%
55861680 1
0.2%
53696314 1
0.2%
53040510 1
0.2%
52794560 1
0.2%
50994440 1
0.2%

시간6매출금액합(21:01~24:00)(CASH_T6)
Real number (ℝ)

ZEROS 

Distinct451
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5342203.6
Minimum0
Maximum5.5687675 × 108
Zeros44
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:17.772446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1363000
median1290950
Q33740050
95-th percentile15504485
Maximum5.5687675 × 108
Range5.5687675 × 108
Interquartile range (IQR)3377050

Descriptive statistics

Standard deviation32652519
Coefficient of variation (CV)6.1121816
Kurtosis239.03104
Mean5342203.6
Median Absolute Deviation (MAD)1149950
Skewness15.183995
Sum2.6711018 × 109
Variance1.066187 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:18.080584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
 
8.8%
8000 2
 
0.4%
295000 2
 
0.4%
40000 2
 
0.4%
561000 2
 
0.4%
272000 2
 
0.4%
1560000 2
 
0.4%
6199700 1
 
0.2%
7328950 1
 
0.2%
1110300 1
 
0.2%
Other values (441) 441
88.2%
ValueCountFrequency (%)
0 44
8.8%
2000 1
 
0.2%
3300 1
 
0.2%
5000 1
 
0.2%
8000 2
 
0.4%
9000 1
 
0.2%
10500 1
 
0.2%
11000 1
 
0.2%
12000 1
 
0.2%
15000 1
 
0.2%
ValueCountFrequency (%)
556876750 1
0.2%
461016660 1
0.2%
52290800 1
0.2%
48178280 1
0.2%
44370090 1
0.2%
33162280 1
0.2%
30828050 1
0.2%
30281900 1
0.2%
25031030 1
0.2%
24352100 1
0.2%

법인매출건수합(COUNT_COMP)
Real number (ℝ)

ZEROS 

Distinct157
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.252
Minimum0
Maximum1890
Zeros30
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:18.384855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median20
Q362
95-th percentile286.2
Maximum1890
Range1890
Interquartile range (IQR)57

Descriptive statistics

Standard deviation162.79069
Coefficient of variation (CV)2.3851417
Kurtosis57.484397
Mean68.252
Median Absolute Deviation (MAD)18
Skewness6.6115891
Sum34126
Variance26500.81
MonotonicityNot monotonic
2023-12-10T23:58:18.696976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
6.0%
1 29
 
5.8%
2 25
 
5.0%
5 23
 
4.6%
7 16
 
3.2%
11 15
 
3.0%
4 14
 
2.8%
6 12
 
2.4%
10 11
 
2.2%
3 11
 
2.2%
Other values (147) 314
62.8%
ValueCountFrequency (%)
0 30
6.0%
1 29
5.8%
2 25
5.0%
3 11
 
2.2%
4 14
2.8%
5 23
4.6%
6 12
 
2.4%
7 16
3.2%
8 7
 
1.4%
9 8
 
1.6%
ValueCountFrequency (%)
1890 1
0.2%
1633 1
0.2%
1256 1
0.2%
1108 1
0.2%
824 1
0.2%
626 1
0.2%
595 1
0.2%
559 1
0.2%
460 1
0.2%
457 1
0.2%

남성매출건수합(COUNT_MAN)
Real number (ℝ)

SKEWED 

Distinct351
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1005.572
Minimum2
Maximum216477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:19.056378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q156
median169.5
Q3594.75
95-th percentile2128.1
Maximum216477
Range216475
Interquartile range (IQR)538.75

Descriptive statistics

Standard deviation9742.6095
Coefficient of variation (CV)9.6886245
Kurtosis482.26332
Mean1005.572
Median Absolute Deviation (MAD)142.5
Skewness21.779586
Sum502786
Variance94918439
MonotonicityNot monotonic
2023-12-10T23:58:19.324217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 8
 
1.6%
21 6
 
1.2%
9 5
 
1.0%
5 5
 
1.0%
78 5
 
1.0%
17 5
 
1.0%
82 5
 
1.0%
60 4
 
0.8%
13 4
 
0.8%
27 4
 
0.8%
Other values (341) 449
89.8%
ValueCountFrequency (%)
2 1
 
0.2%
3 2
 
0.4%
4 4
0.8%
5 5
1.0%
6 2
 
0.4%
7 2
 
0.4%
8 2
 
0.4%
9 5
1.0%
10 3
0.6%
11 3
0.6%
ValueCountFrequency (%)
216477 1
0.2%
14621 1
0.2%
12327 1
0.2%
12059 1
0.2%
9192 1
0.2%
7169 1
0.2%
4932 1
0.2%
4823 1
0.2%
4128 1
0.2%
4094 1
0.2%

여성매출건수합(COUNT_WOMAN)
Real number (ℝ)

Distinct330
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean596.032
Minimum0
Maximum21795
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:19.631423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q143
median151.5
Q3484.5
95-th percentile2454.55
Maximum21795
Range21795
Interquartile range (IQR)441.5

Descriptive statistics

Standard deviation1541.4718
Coefficient of variation (CV)2.5862233
Kurtosis84.794863
Mean596.032
Median Absolute Deviation (MAD)128.5
Skewness7.7494795
Sum298016
Variance2376135.4
MonotonicityNot monotonic
2023-12-10T23:58:19.915956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 8
 
1.6%
23 7
 
1.4%
12 6
 
1.2%
10 6
 
1.2%
17 5
 
1.0%
30 5
 
1.0%
11 5
 
1.0%
13 5
 
1.0%
39 4
 
0.8%
29 4
 
0.8%
Other values (320) 445
89.0%
ValueCountFrequency (%)
0 2
 
0.4%
2 3
0.6%
3 3
0.6%
4 2
 
0.4%
5 3
0.6%
6 4
0.8%
7 3
0.6%
8 1
 
0.2%
9 1
 
0.2%
10 6
1.2%
ValueCountFrequency (%)
21795 1
0.2%
12931 1
0.2%
10721 1
0.2%
7999 1
0.2%
6651 1
0.2%
6420 1
0.2%
5476 1
0.2%
5472 1
0.2%
4734 1
0.2%
4610 1
0.2%

10대매출건수의합(COUNT_AGE10)
Real number (ℝ)

SKEWED  ZEROS 

Distinct97
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.11
Minimum0
Maximum7189
Zeros130
Zeros (%)26.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:20.154249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q320.25
95-th percentile108.1
Maximum7189
Range7189
Interquartile range (IQR)20.25

Descriptive statistics

Standard deviation325.70099
Coefficient of variation (CV)8.5463393
Kurtosis468.31329
Mean38.11
Median Absolute Deviation (MAD)4
Skewness21.323428
Sum19055
Variance106081.14
MonotonicityNot monotonic
2023-12-10T23:58:20.438637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 130
26.0%
1 49
 
9.8%
2 44
 
8.8%
3 20
 
4.0%
8 15
 
3.0%
6 12
 
2.4%
5 12
 
2.4%
10 11
 
2.2%
7 11
 
2.2%
4 10
 
2.0%
Other values (87) 186
37.2%
ValueCountFrequency (%)
0 130
26.0%
1 49
 
9.8%
2 44
 
8.8%
3 20
 
4.0%
4 10
 
2.0%
5 12
 
2.4%
6 12
 
2.4%
7 11
 
2.2%
8 15
 
3.0%
9 10
 
2.0%
ValueCountFrequency (%)
7189 1
0.2%
628 1
0.2%
567 1
0.2%
440 1
0.2%
317 1
0.2%
292 1
0.2%
260 1
0.2%
235 1
0.2%
220 1
0.2%
212 1
0.2%

20대매출건수의합(COUNT_AGE20)
Real number (ℝ)

SKEWED  ZEROS 

Distinct272
Distinct (%)54.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.444
Minimum0
Maximum54973
Zeros23
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:20.834486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median70
Q3263.25
95-th percentile1285.9
Maximum54973
Range54973
Interquartile range (IQR)251.25

Descriptive statistics

Standard deviation2529.9765
Coefficient of variation (CV)6.3816743
Kurtosis436.32279
Mean396.444
Median Absolute Deviation (MAD)67
Skewness20.271231
Sum198222
Variance6400781
MonotonicityNot monotonic
2023-12-10T23:58:21.093618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
4.6%
7 16
 
3.2%
1 12
 
2.4%
2 12
 
2.4%
4 11
 
2.2%
3 10
 
2.0%
6 10
 
2.0%
5 10
 
2.0%
12 6
 
1.2%
30 6
 
1.2%
Other values (262) 384
76.8%
ValueCountFrequency (%)
0 23
4.6%
1 12
2.4%
2 12
2.4%
3 10
2.0%
4 11
2.2%
5 10
2.0%
6 10
2.0%
7 16
3.2%
8 5
 
1.0%
9 5
 
1.0%
ValueCountFrequency (%)
54973 1
0.2%
5545 1
0.2%
5138 1
0.2%
5049 1
0.2%
4657 1
0.2%
3967 1
0.2%
3241 1
0.2%
3025 1
0.2%
3019 1
0.2%
2848 1
0.2%

30대매출건수의합(COUNT_AGE30)
Real number (ℝ)

ZEROS 

Distinct279
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.134
Minimum0
Maximum13908
Zeros7
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:21.380794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q125
median87.5
Q3277.25
95-th percentile1050
Maximum13908
Range13908
Interquartile range (IQR)252.25

Descriptive statistics

Standard deviation739.67397
Coefficient of variation (CV)2.7080992
Kurtosis232.67771
Mean273.134
Median Absolute Deviation (MAD)75.5
Skewness13.158165
Sum136567
Variance547117.59
MonotonicityNot monotonic
2023-12-10T23:58:21.782120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 11
 
2.2%
4 9
 
1.8%
3 7
 
1.4%
2 7
 
1.4%
13 7
 
1.4%
14 7
 
1.4%
0 7
 
1.4%
12 6
 
1.2%
1 6
 
1.2%
16 6
 
1.2%
Other values (269) 427
85.4%
ValueCountFrequency (%)
0 7
1.4%
1 6
1.2%
2 7
1.4%
3 7
1.4%
4 9
1.8%
5 5
1.0%
6 5
1.0%
7 2
 
0.4%
8 11
2.2%
9 4
 
0.8%
ValueCountFrequency (%)
13908 1
0.2%
2805 1
0.2%
2739 1
0.2%
2553 1
0.2%
2445 1
0.2%
2344 1
0.2%
2265 1
0.2%
1958 1
0.2%
1932 1
0.2%
1840 1
0.2%

40대매출건수의합(COUNT_AGE40)
Real number (ℝ)

Distinct275
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean320.608
Minimum0
Maximum30926
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:22.160015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q128.75
median81
Q3236.25
95-th percentile1121.6
Maximum30926
Range30926
Interquartile range (IQR)207.5

Descriptive statistics

Standard deviation1521.7972
Coefficient of variation (CV)4.7465977
Kurtosis331.51673
Mean320.608
Median Absolute Deviation (MAD)65
Skewness16.97398
Sum160304
Variance2315866.7
MonotonicityNot monotonic
2023-12-10T23:58:22.495057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 8
 
1.6%
25 8
 
1.6%
19 8
 
1.6%
9 8
 
1.6%
11 7
 
1.4%
8 7
 
1.4%
43 6
 
1.2%
35 6
 
1.2%
78 6
 
1.2%
16 6
 
1.2%
Other values (265) 430
86.0%
ValueCountFrequency (%)
0 4
0.8%
1 4
0.8%
2 1
 
0.2%
3 2
 
0.4%
4 3
 
0.6%
5 4
0.8%
6 3
 
0.6%
7 3
 
0.6%
8 7
1.4%
9 8
1.6%
ValueCountFrequency (%)
30926 1
0.2%
8116 1
0.2%
7577 1
0.2%
5075 1
0.2%
3368 1
0.2%
2951 1
0.2%
2503 1
0.2%
2333 1
0.2%
2297 1
0.2%
2177 1
0.2%

50대매출건수의합(COUNT_AGE50)
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.892
Minimum0
Maximum13046
Zeros12
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:23.004491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q113
median41.5
Q3127.25
95-th percentile493.2
Maximum13046
Range13046
Interquartile range (IQR)114.25

Descriptive statistics

Standard deviation736.40988
Coefficient of variation (CV)4.210655
Kurtosis207.7365
Mean174.892
Median Absolute Deviation (MAD)35.5
Skewness13.224785
Sum87446
Variance542299.51
MonotonicityNot monotonic
2023-12-10T23:58:24.150047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
3.4%
7 14
 
2.8%
0 12
 
2.4%
3 12
 
2.4%
1 12
 
2.4%
13 11
 
2.2%
12 10
 
2.0%
15 9
 
1.8%
16 9
 
1.8%
5 8
 
1.6%
Other values (199) 386
77.2%
ValueCountFrequency (%)
0 12
2.4%
1 12
2.4%
2 5
 
1.0%
3 12
2.4%
4 17
3.4%
5 8
1.6%
6 8
1.6%
7 14
2.8%
8 7
1.4%
9 3
 
0.6%
ValueCountFrequency (%)
13046 1
0.2%
7424 1
0.2%
3974 1
0.2%
3223 1
0.2%
2780 1
0.2%
1365 1
0.2%
1226 1
0.2%
1225 1
0.2%
1219 1
0.2%
1214 1
0.2%

60대매출건수의합(COUNT_AGE60)
Real number (ℝ)

ZEROS 

Distinct161
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.102
Minimum0
Maximum11044
Zeros28
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:24.520775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median22
Q364.5
95-th percentile272.25
Maximum11044
Range11044
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation544.05458
Coefficient of variation (CV)5.5458051
Kurtosis336.44574
Mean98.102
Median Absolute Deviation (MAD)19
Skewness17.370177
Sum49051
Variance295995.38
MonotonicityNot monotonic
2023-12-10T23:58:24.804564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
5.6%
3 22
 
4.4%
1 21
 
4.2%
5 17
 
3.4%
4 15
 
3.0%
13 14
 
2.8%
6 14
 
2.8%
14 14
 
2.8%
9 13
 
2.6%
2 12
 
2.4%
Other values (151) 330
66.0%
ValueCountFrequency (%)
0 28
5.6%
1 21
4.2%
2 12
2.4%
3 22
4.4%
4 15
3.0%
5 17
3.4%
6 14
2.8%
7 8
 
1.6%
8 9
 
1.8%
9 13
2.6%
ValueCountFrequency (%)
11044 1
0.2%
4267 1
0.2%
1314 1
0.2%
1299 1
0.2%
1096 1
0.2%
893 1
0.2%
886 1
0.2%
687 1
0.2%
634 1
0.2%
598 1
0.2%

일요일매출건수합(COUNT_W1)
Real number (ℝ)

Distinct236
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.586
Minimum0
Maximum13221
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:25.096781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median55.5
Q3163.5
95-th percentile606.2
Maximum13221
Range13221
Interquartile range (IQR)148.5

Descriptive statistics

Standard deviation673.65351
Coefficient of variation (CV)3.7721519
Kurtosis286.46996
Mean178.586
Median Absolute Deviation (MAD)47.5
Skewness15.489543
Sum89293
Variance453809.06
MonotonicityNot monotonic
2023-12-10T23:58:25.446983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
2.8%
10 13
 
2.6%
9 12
 
2.4%
4 10
 
2.0%
2 10
 
2.0%
8 9
 
1.8%
11 9
 
1.8%
3 9
 
1.8%
1 8
 
1.6%
17 7
 
1.4%
Other values (226) 399
79.8%
ValueCountFrequency (%)
0 5
 
1.0%
1 8
1.6%
2 10
2.0%
3 9
1.8%
4 10
2.0%
5 14
2.8%
6 6
1.2%
7 6
1.2%
8 9
1.8%
9 12
2.4%
ValueCountFrequency (%)
13221 1
0.2%
4146 1
0.2%
3378 1
0.2%
3303 1
0.2%
1645 1
0.2%
1366 1
0.2%
1134 1
0.2%
1022 1
0.2%
992 1
0.2%
859 1
0.2%

월요일매출건수합(COUNT_W2)
Real number (ℝ)

Distinct237
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.008
Minimum0
Maximum6501
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:25.732734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q116
median61.5
Q3164.25
95-th percentile743.1
Maximum6501
Range6501
Interquartile range (IQR)148.25

Descriptive statistics

Standard deviation597.50127
Coefficient of variation (CV)2.9145266
Kurtosis66.639517
Mean205.008
Median Absolute Deviation (MAD)52.5
Skewness7.5256295
Sum102504
Variance357007.76
MonotonicityNot monotonic
2023-12-10T23:58:26.036405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 12
 
2.4%
3 12
 
2.4%
5 12
 
2.4%
13 11
 
2.2%
20 9
 
1.8%
10 9
 
1.8%
15 8
 
1.6%
6 8
 
1.6%
9 7
 
1.4%
1 7
 
1.4%
Other values (227) 405
81.0%
ValueCountFrequency (%)
0 5
1.0%
1 7
1.4%
2 6
1.2%
3 12
2.4%
4 12
2.4%
5 12
2.4%
6 8
1.6%
7 6
1.2%
8 6
1.2%
9 7
1.4%
ValueCountFrequency (%)
6501 1
0.2%
6303 1
0.2%
5686 1
0.2%
4506 1
0.2%
3196 1
0.2%
2708 1
0.2%
2309 1
0.2%
2272 1
0.2%
1705 1
0.2%
1564 1
0.2%

화요일매출건수합(COUNT_W3)
Real number (ℝ)

Distinct235
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.798
Minimum0
Maximum3036
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:26.348065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q116.75
median60
Q3161
95-th percentile778.6
Maximum3036
Range3036
Interquartile range (IQR)144.25

Descriptive statistics

Standard deviation372.82395
Coefficient of variation (CV)2.0851684
Kurtosis25.081471
Mean178.798
Median Absolute Deviation (MAD)51
Skewness4.5626498
Sum89399
Variance138997.7
MonotonicityNot monotonic
2023-12-10T23:58:26.649848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 11
 
2.2%
1 11
 
2.2%
13 11
 
2.2%
11 10
 
2.0%
12 10
 
2.0%
6 10
 
2.0%
23 9
 
1.8%
5 9
 
1.8%
21 8
 
1.6%
3 8
 
1.6%
Other values (225) 403
80.6%
ValueCountFrequency (%)
0 3
 
0.6%
1 11
2.2%
2 7
1.4%
3 8
1.6%
4 11
2.2%
5 9
1.8%
6 10
2.0%
7 7
1.4%
8 5
1.0%
9 7
1.4%
ValueCountFrequency (%)
3036 1
0.2%
2920 1
0.2%
2768 1
0.2%
2702 1
0.2%
2081 1
0.2%
1898 1
0.2%
1857 1
0.2%
1792 1
0.2%
1635 1
0.2%
1593 1
0.2%

수요일매출건수합(COUNT_W4)
Real number (ℝ)

Distinct215
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.752
Minimum0
Maximum3023
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:26.935599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median43.5
Q3141
95-th percentile735.2
Maximum3023
Range3023
Interquartile range (IQR)126

Descriptive statistics

Standard deviation348.01299
Coefficient of variation (CV)2.1784578
Kurtosis25.831677
Mean159.752
Median Absolute Deviation (MAD)36.5
Skewness4.6332883
Sum79876
Variance121113.04
MonotonicityNot monotonic
2023-12-10T23:58:27.301762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
2.8%
8 11
 
2.2%
6 11
 
2.2%
2 10
 
2.0%
5 10
 
2.0%
12 10
 
2.0%
38 9
 
1.8%
7 9
 
1.8%
9 9
 
1.8%
19 8
 
1.6%
Other values (205) 399
79.8%
ValueCountFrequency (%)
0 5
 
1.0%
1 8
1.6%
2 10
2.0%
3 8
1.6%
4 14
2.8%
5 10
2.0%
6 11
2.2%
7 9
1.8%
8 11
2.2%
9 9
1.8%
ValueCountFrequency (%)
3023 1
0.2%
2621 1
0.2%
2492 1
0.2%
2312 1
0.2%
2005 1
0.2%
1909 1
0.2%
1865 1
0.2%
1849 1
0.2%
1727 1
0.2%
1293 1
0.2%

목요일매출건수합(COUNT_W5)
Real number (ℝ)

ZEROS 

Distinct245
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225.796
Minimum0
Maximum22639
Zeros6
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:27.618392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.95
Q118.75
median62
Q3159.75
95-th percentile809
Maximum22639
Range22639
Interquartile range (IQR)141

Descriptive statistics

Standard deviation1080.9111
Coefficient of variation (CV)4.7871135
Kurtosis372.97857
Mean225.796
Median Absolute Deviation (MAD)52
Skewness18.239216
Sum112898
Variance1168368.8
MonotonicityNot monotonic
2023-12-10T23:58:27.873096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 14
 
2.8%
5 11
 
2.2%
8 11
 
2.2%
4 10
 
2.0%
7 10
 
2.0%
2 9
 
1.8%
11 8
 
1.6%
37 7
 
1.4%
16 7
 
1.4%
24 6
 
1.2%
Other values (235) 407
81.4%
ValueCountFrequency (%)
0 6
1.2%
1 5
 
1.0%
2 9
1.8%
3 5
 
1.0%
4 10
2.0%
5 11
2.2%
6 14
2.8%
7 10
2.0%
8 11
2.2%
9 2
 
0.4%
ValueCountFrequency (%)
22639 1
0.2%
4965 1
0.2%
3280 1
0.2%
2962 1
0.2%
2170 1
0.2%
2167 1
0.2%
1983 1
0.2%
1678 1
0.2%
1478 1
0.2%
1423 1
0.2%

금요일매출건수합(COUNT_W6)
Real number (ℝ)

ZEROS 

Distinct245
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.01
Minimum0
Maximum10848
Zeros8
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:28.164219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q118
median56
Q3179
95-th percentile680.35
Maximum10848
Range10848
Interquartile range (IQR)161

Descriptive statistics

Standard deviation683.45558
Coefficient of variation (CV)3.383276
Kurtosis143.27649
Mean202.01
Median Absolute Deviation (MAD)47
Skewness10.88132
Sum101005
Variance467111.53
MonotonicityNot monotonic
2023-12-10T23:58:28.425953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 11
 
2.2%
12 10
 
2.0%
10 9
 
1.8%
5 8
 
1.6%
1 8
 
1.6%
13 8
 
1.6%
0 8
 
1.6%
19 8
 
1.6%
3 8
 
1.6%
11 8
 
1.6%
Other values (235) 414
82.8%
ValueCountFrequency (%)
0 8
1.6%
1 8
1.6%
2 6
1.2%
3 8
1.6%
4 11
2.2%
5 8
1.6%
6 6
1.2%
7 6
1.2%
8 4
 
0.8%
9 7
1.4%
ValueCountFrequency (%)
10848 1
0.2%
6267 1
0.2%
6168 1
0.2%
4102 1
0.2%
2267 1
0.2%
2048 1
0.2%
1637 1
0.2%
1351 1
0.2%
1273 1
0.2%
1129 1
0.2%

토요일매출건수합(COUNT_W7)
Real number (ℝ)

ZEROS 

Distinct215
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.176
Minimum0
Maximum6140
Zeros47
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:28.690952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median39
Q3125.75
95-th percentile548.3
Maximum6140
Range6140
Interquartile range (IQR)119.75

Descriptive statistics

Standard deviation375.58062
Coefficient of variation (CV)2.7181321
Kurtosis135.44537
Mean138.176
Median Absolute Deviation (MAD)37.5
Skewness9.6769757
Sum69088
Variance141060.8
MonotonicityNot monotonic
2023-12-10T23:58:28.894757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
9.4%
1 23
 
4.6%
3 13
 
2.6%
7 13
 
2.6%
2 12
 
2.4%
5 12
 
2.4%
6 10
 
2.0%
4 9
 
1.8%
10 8
 
1.6%
19 8
 
1.6%
Other values (205) 345
69.0%
ValueCountFrequency (%)
0 47
9.4%
1 23
4.6%
2 12
 
2.4%
3 13
 
2.6%
4 9
 
1.8%
5 12
 
2.4%
6 10
 
2.0%
7 13
 
2.6%
8 6
 
1.2%
9 6
 
1.2%
ValueCountFrequency (%)
6140 1
0.2%
2080 1
0.2%
1973 1
0.2%
1858 1
0.2%
1855 1
0.2%
1763 1
0.2%
1429 1
0.2%
1373 1
0.2%
1187 1
0.2%
1180 1
0.2%

시간1매출건수합(00:00~06:00)(COUNT_T1)
Real number (ℝ)

ZEROS 

Distinct131
Distinct (%)26.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.496
Minimum0
Maximum851
Zeros186
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:29.144791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q332
95-th percentile170.2
Maximum851
Range851
Interquartile range (IQR)32

Descriptive statistics

Standard deviation90.034963
Coefficient of variation (CV)2.4011885
Kurtosis30.242285
Mean37.496
Median Absolute Deviation (MAD)4
Skewness4.7999496
Sum18748
Variance8106.2946
MonotonicityNot monotonic
2023-12-10T23:58:29.415734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186
37.2%
1 29
 
5.8%
4 21
 
4.2%
2 19
 
3.8%
3 15
 
3.0%
7 11
 
2.2%
5 9
 
1.8%
10 8
 
1.6%
6 7
 
1.4%
8 7
 
1.4%
Other values (121) 188
37.6%
ValueCountFrequency (%)
0 186
37.2%
1 29
 
5.8%
2 19
 
3.8%
3 15
 
3.0%
4 21
 
4.2%
5 9
 
1.8%
6 7
 
1.4%
7 11
 
2.2%
8 7
 
1.4%
9 6
 
1.2%
ValueCountFrequency (%)
851 1
0.2%
747 1
0.2%
683 1
0.2%
548 1
0.2%
484 1
0.2%
437 1
0.2%
402 1
0.2%
363 1
0.2%
336 1
0.2%
317 1
0.2%

시간2매출건수합(06:01~11:00)(COUNT_T2)
Real number (ℝ)

ZEROS 

Distinct189
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.124
Minimum0
Maximum18205
Zeros69
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:29.699614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15
Q390.25
95-th percentile626
Maximum18205
Range18205
Interquartile range (IQR)87.25

Descriptive statistics

Standard deviation862.74418
Coefficient of variation (CV)5.5977277
Kurtosis386.32452
Mean154.124
Median Absolute Deviation (MAD)15
Skewness18.654275
Sum77062
Variance744327.53
MonotonicityNot monotonic
2023-12-10T23:58:29.939952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
 
13.8%
1 31
 
6.2%
5 22
 
4.4%
3 18
 
3.6%
4 17
 
3.4%
2 16
 
3.2%
8 13
 
2.6%
7 13
 
2.6%
9 10
 
2.0%
11 9
 
1.8%
Other values (179) 282
56.4%
ValueCountFrequency (%)
0 69
13.8%
1 31
6.2%
2 16
 
3.2%
3 18
 
3.6%
4 17
 
3.4%
5 22
 
4.4%
6 7
 
1.4%
7 13
 
2.6%
8 13
 
2.6%
9 10
 
2.0%
ValueCountFrequency (%)
18205 1
0.2%
3311 1
0.2%
2951 1
0.2%
1621 1
0.2%
1449 1
0.2%
1425 1
0.2%
1393 1
0.2%
1258 1
0.2%
1253 1
0.2%
1229 1
0.2%

시간3매출건수합(11:01~14:00)(COUNT_T3)
Real number (ℝ)

ZEROS 

Distinct279
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean357.73
Minimum0
Maximum35614
Zeros6
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:30.172935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q129.75
median94.5
Q3273.5
95-th percentile1101.35
Maximum35614
Range35614
Interquartile range (IQR)243.75

Descriptive statistics

Standard deviation1782.1173
Coefficient of variation (CV)4.9817384
Kurtosis317.29747
Mean357.73
Median Absolute Deviation (MAD)83.5
Skewness16.807071
Sum178865
Variance3175942
MonotonicityNot monotonic
2023-12-10T23:58:30.449877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 10
 
2.0%
3 9
 
1.8%
11 9
 
1.8%
30 8
 
1.6%
2 8
 
1.6%
1 8
 
1.6%
5 6
 
1.2%
8 6
 
1.2%
33 6
 
1.2%
0 6
 
1.2%
Other values (269) 424
84.8%
ValueCountFrequency (%)
0 6
1.2%
1 8
1.6%
2 8
1.6%
3 9
1.8%
4 10
2.0%
5 6
1.2%
6 5
1.0%
7 4
 
0.8%
8 6
1.2%
10 4
 
0.8%
ValueCountFrequency (%)
35614 1
0.2%
15062 1
0.2%
5625 1
0.2%
3648 1
0.2%
3592 1
0.2%
3346 1
0.2%
2425 1
0.2%
2066 1
0.2%
1917 1
0.2%
1783 1
0.2%

시간4매출건수합(14:01~17:00)(COUNT_T4)
Real number (ℝ)

Distinct241
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.372
Minimum0
Maximum16277
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:31.147671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.95
Q120
median63
Q3169
95-th percentile751.35
Maximum16277
Range16277
Interquartile range (IQR)149

Descriptive statistics

Standard deviation792.50618
Coefficient of variation (CV)3.7671657
Kurtosis340.48865
Mean210.372
Median Absolute Deviation (MAD)52.5
Skewness17.070711
Sum105186
Variance628066.04
MonotonicityNot monotonic
2023-12-10T23:58:31.682844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 13
 
2.6%
10 10
 
2.0%
17 9
 
1.8%
8 9
 
1.8%
6 8
 
1.6%
31 8
 
1.6%
5 7
 
1.4%
3 7
 
1.4%
20 7
 
1.4%
84 6
 
1.2%
Other values (231) 416
83.2%
ValueCountFrequency (%)
0 5
 
1.0%
1 5
 
1.0%
2 4
 
0.8%
3 7
1.4%
4 4
 
0.8%
5 7
1.4%
6 8
1.6%
7 13
2.6%
8 9
1.8%
9 2
 
0.4%
ValueCountFrequency (%)
16277 1
0.2%
3260 1
0.2%
2681 1
0.2%
2322 1
0.2%
1848 1
0.2%
1761 1
0.2%
1641 1
0.2%
1486 1
0.2%
1321 1
0.2%
1269 1
0.2%

시간5매출건수합(17:01~21:00)(COUNT_T5)
Real number (ℝ)

Distinct291
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean401.876
Minimum0
Maximum22423
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:32.852160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.95
Q125
median91
Q3292
95-th percentile1541.15
Maximum22423
Range22423
Interquartile range (IQR)267

Descriptive statistics

Standard deviation1518.8828
Coefficient of variation (CV)3.7794813
Kurtosis149.19999
Mean401.876
Median Absolute Deviation (MAD)80
Skewness11.284212
Sum200938
Variance2307005.1
MonotonicityNot monotonic
2023-12-10T23:58:33.182817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 10
 
2.0%
9 9
 
1.8%
20 8
 
1.6%
11 7
 
1.4%
18 7
 
1.4%
12 6
 
1.2%
1 6
 
1.2%
43 6
 
1.2%
49 6
 
1.2%
13 6
 
1.2%
Other values (281) 429
85.8%
ValueCountFrequency (%)
0 5
1.0%
1 6
1.2%
2 6
1.2%
3 5
1.0%
4 3
 
0.6%
5 2
 
0.4%
6 10
2.0%
7 3
 
0.6%
8 5
1.0%
9 9
1.8%
ValueCountFrequency (%)
22423 1
0.2%
20349 1
0.2%
7657 1
0.2%
6242 1
0.2%
6161 1
0.2%
5236 1
0.2%
3629 1
0.2%
3056 1
0.2%
3005 1
0.2%
2641 1
0.2%

시간6매출건수합(21:01~24:00)(COUNT_T6)
Real number (ℝ)

ZEROS 

Distinct227
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.986
Minimum0
Maximum4969
Zeros53
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:33.482338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median35
Q3161.75
95-th percentile638.15
Maximum4969
Range4969
Interquartile range (IQR)157.75

Descriptive statistics

Standard deviation329.77517
Coefficient of variation (CV)2.2284214
Kurtosis97.093136
Mean147.986
Median Absolute Deviation (MAD)35
Skewness7.8311812
Sum73993
Variance108751.67
MonotonicityNot monotonic
2023-12-10T23:58:33.778198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
10.6%
1 34
 
6.8%
2 19
 
3.8%
3 14
 
2.8%
7 14
 
2.8%
10 10
 
2.0%
5 9
 
1.8%
8 8
 
1.6%
9 7
 
1.4%
4 7
 
1.4%
Other values (217) 325
65.0%
ValueCountFrequency (%)
0 53
10.6%
1 34
6.8%
2 19
 
3.8%
3 14
 
2.8%
4 7
 
1.4%
5 9
 
1.8%
6 6
 
1.2%
7 14
 
2.8%
8 8
 
1.6%
9 7
 
1.4%
ValueCountFrequency (%)
4969 1
0.2%
2445 1
0.2%
1577 1
0.2%
1414 1
0.2%
1201 1
0.2%
1161 1
0.2%
1140 1
0.2%
1126 1
0.2%
1105 1
0.2%
997 1
0.2%

10대재방문매출건수의합(REVISIT_COUNT10)
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.976
Minimum0
Maximum124
Zeros371
Zeros (%)74.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:34.031731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile15
Maximum124
Range124
Interquartile range (IQR)2

Descriptive statistics

Standard deviation10.773279
Coefficient of variation (CV)3.6200536
Kurtosis58.520637
Mean2.976
Median Absolute Deviation (MAD)0
Skewness6.8985097
Sum1488
Variance116.06355
MonotonicityNot monotonic
2023-12-10T23:58:34.283937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 371
74.2%
2 45
 
9.0%
4 19
 
3.8%
6 9
 
1.8%
8 7
 
1.4%
7 5
 
1.0%
10 4
 
0.8%
13 3
 
0.6%
14 3
 
0.6%
16 3
 
0.6%
Other values (25) 31
 
6.2%
ValueCountFrequency (%)
0 371
74.2%
2 45
 
9.0%
3 2
 
0.4%
4 19
 
3.8%
5 1
 
0.2%
6 9
 
1.8%
7 5
 
1.0%
8 7
 
1.4%
9 2
 
0.4%
10 4
 
0.8%
ValueCountFrequency (%)
124 1
0.2%
102 1
0.2%
88 1
0.2%
66 1
0.2%
61 1
0.2%
52 1
0.2%
49 1
0.2%
44 1
0.2%
39 1
0.2%
36 1
0.2%

20대재방문매출건수의합(REVISIT_COUNT20)
Real number (ℝ)

SKEWED  ZEROS 

Distinct107
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.298
Minimum0
Maximum13404
Zeros186
Zeros (%)37.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:34.555035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q321
95-th percentile150.6
Maximum13404
Range13404
Interquartile range (IQR)21

Descriptive statistics

Standard deviation602.73488
Coefficient of variation (CV)10.899759
Kurtosis484.93718
Mean55.298
Median Absolute Deviation (MAD)3.5
Skewness21.864455
Sum27649
Variance363289.33
MonotonicityNot monotonic
2023-12-10T23:58:34.851321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186
37.2%
2 63
 
12.6%
4 26
 
5.2%
6 22
 
4.4%
8 13
 
2.6%
10 10
 
2.0%
14 9
 
1.8%
28 6
 
1.2%
30 6
 
1.2%
12 6
 
1.2%
Other values (97) 153
30.6%
ValueCountFrequency (%)
0 186
37.2%
2 63
 
12.6%
3 1
 
0.2%
4 26
 
5.2%
5 5
 
1.0%
6 22
 
4.4%
7 3
 
0.6%
8 13
 
2.6%
9 5
 
1.0%
10 10
 
2.0%
ValueCountFrequency (%)
13404 1
0.2%
855 1
0.2%
567 1
0.2%
481 1
0.2%
358 1
0.2%
342 2
0.4%
332 1
0.2%
317 1
0.2%
311 1
0.2%
298 1
0.2%

30대재방문매출건수의합(REVISIT_COUNT30)
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)23.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.126
Minimum0
Maximum4467
Zeros102
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:35.134789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median7
Q329
95-th percentile201.4
Maximum4467
Range4467
Interquartile range (IQR)27

Descriptive statistics

Standard deviation234.49285
Coefficient of variation (CV)4.4985775
Kurtosis258.50693
Mean52.126
Median Absolute Deviation (MAD)7
Skewness14.592206
Sum26063
Variance54986.896
MonotonicityNot monotonic
2023-12-10T23:58:35.368431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 102
20.4%
2 58
 
11.6%
4 43
 
8.6%
6 28
 
5.6%
8 24
 
4.8%
10 14
 
2.8%
7 11
 
2.2%
11 8
 
1.6%
9 7
 
1.4%
25 6
 
1.2%
Other values (106) 199
39.8%
ValueCountFrequency (%)
0 102
20.4%
2 58
11.6%
3 6
 
1.2%
4 43
8.6%
5 6
 
1.2%
6 28
 
5.6%
7 11
 
2.2%
8 24
 
4.8%
9 7
 
1.4%
10 14
 
2.8%
ValueCountFrequency (%)
4467 1
0.2%
1705 1
0.2%
1049 1
0.2%
1005 1
0.2%
871 1
0.2%
635 1
0.2%
479 1
0.2%
413 1
0.2%
400 1
0.2%
377 1
0.2%

40대재방문매출건수의합(REVISIT_COUNT40)
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.37
Minimum0
Maximum9733
Zeros128
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:35.624158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q321
95-th percentile125.55
Maximum9733
Range9733
Interquartile range (IQR)21

Descriptive statistics

Standard deviation463.16913
Coefficient of variation (CV)8.0733681
Kurtosis386.26294
Mean57.37
Median Absolute Deviation (MAD)6
Skewness18.870558
Sum28685
Variance214525.64
MonotonicityNot monotonic
2023-12-10T23:58:35.856787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128
25.6%
2 67
 
13.4%
4 37
 
7.4%
6 28
 
5.6%
8 16
 
3.2%
10 16
 
3.2%
7 10
 
2.0%
12 9
 
1.8%
11 8
 
1.6%
14 7
 
1.4%
Other values (88) 174
34.8%
ValueCountFrequency (%)
0 128
25.6%
2 67
13.4%
3 5
 
1.0%
4 37
 
7.4%
5 5
 
1.0%
6 28
 
5.6%
7 10
 
2.0%
8 16
 
3.2%
9 5
 
1.0%
10 16
 
3.2%
ValueCountFrequency (%)
9733 1
0.2%
2907 1
0.2%
1216 1
0.2%
731 1
0.2%
728 1
0.2%
628 1
0.2%
617 1
0.2%
545 1
0.2%
488 1
0.2%
468 1
0.2%

50대재방문매출건수의합(REVISIT_COUNT50)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.97
Minimum0
Maximum1111
Zeros165
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:36.154057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q312.25
95-th percentile56.3
Maximum1111
Range1111
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation59.705432
Coefficient of variation (CV)3.7385994
Kurtosis230.83377
Mean15.97
Median Absolute Deviation (MAD)3.5
Skewness13.421549
Sum7985
Variance3564.7386
MonotonicityNot monotonic
2023-12-10T23:58:36.466360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 165
33.0%
2 77
15.4%
4 39
 
7.8%
6 25
 
5.0%
8 13
 
2.6%
12 12
 
2.4%
14 11
 
2.2%
11 11
 
2.2%
10 10
 
2.0%
3 8
 
1.6%
Other values (60) 129
25.8%
ValueCountFrequency (%)
0 165
33.0%
2 77
15.4%
3 8
 
1.6%
4 39
 
7.8%
5 5
 
1.0%
6 25
 
5.0%
7 4
 
0.8%
8 13
 
2.6%
9 6
 
1.2%
10 10
 
2.0%
ValueCountFrequency (%)
1111 1
0.2%
356 1
0.2%
261 1
0.2%
258 1
0.2%
235 1
0.2%
229 1
0.2%
203 1
0.2%
153 1
0.2%
147 1
0.2%
118 1
0.2%

60대재방문매출건수의합(REVISIT_COUNT60)
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.326
Minimum0
Maximum1214
Zeros229
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:36.769903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile37.05
Maximum1214
Range1214
Interquartile range (IQR)7

Descriptive statistics

Standard deviation77.463054
Coefficient of variation (CV)5.4071656
Kurtosis142.63554
Mean14.326
Median Absolute Deviation (MAD)2
Skewness11.080851
Sum7163
Variance6000.5248
MonotonicityNot monotonic
2023-12-10T23:58:37.050136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 229
45.8%
2 77
 
15.4%
4 30
 
6.0%
8 17
 
3.4%
6 17
 
3.4%
10 12
 
2.4%
5 10
 
2.0%
14 9
 
1.8%
12 8
 
1.6%
3 7
 
1.4%
Other values (43) 84
 
16.8%
ValueCountFrequency (%)
0 229
45.8%
2 77
 
15.4%
3 7
 
1.4%
4 30
 
6.0%
5 10
 
2.0%
6 17
 
3.4%
7 6
 
1.2%
8 17
 
3.4%
9 5
 
1.0%
10 12
 
2.4%
ValueCountFrequency (%)
1214 1
0.2%
749 1
0.2%
625 1
0.2%
452 1
0.2%
431 1
0.2%
370 1
0.2%
176 1
0.2%
132 1
0.2%
117 1
0.2%
101 1
0.2%

가맹점영업개월수의합(BUSIN_SUM_MUN)
Real number (ℝ)

Distinct375
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean427.336
Minimum17
Maximum2973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:37.304499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile88.9
Q1189
median327.5
Q3525.25
95-th percentile1119.9
Maximum2973
Range2956
Interquartile range (IQR)336.25

Descriptive statistics

Standard deviation383.30589
Coefficient of variation (CV)0.89696605
Kurtosis11.686924
Mean427.336
Median Absolute Deviation (MAD)156.5
Skewness2.8905973
Sum213668
Variance146923.4
MonotonicityNot monotonic
2023-12-10T23:58:37.593694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95 4
 
0.8%
287 4
 
0.8%
348 4
 
0.8%
230 4
 
0.8%
178 3
 
0.6%
93 3
 
0.6%
141 3
 
0.6%
110 3
 
0.6%
416 3
 
0.6%
253 3
 
0.6%
Other values (365) 466
93.2%
ValueCountFrequency (%)
17 1
0.2%
21 1
0.2%
33 1
0.2%
39 1
0.2%
42 1
0.2%
48 1
0.2%
50 1
0.2%
52 1
0.2%
53 1
0.2%
55 1
0.2%
ValueCountFrequency (%)
2973 1
0.2%
2723 1
0.2%
2666 1
0.2%
2309 1
0.2%
2078 1
0.2%
2014 1
0.2%
1929 1
0.2%
1899 1
0.2%
1843 1
0.2%
1842 1
0.2%

영업개월수별가맹점수당월개업(COUNT_OPEN_MUN)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
453 
1
 
43
3
 
2
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 453
90.6%
1 43
 
8.6%
3 2
 
0.4%
2 2
 
0.4%

Length

2023-12-10T23:58:37.830129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:38.104639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 453
90.6%
1 43
 
8.6%
3 2
 
0.4%
2 2
 
0.4%

영업개월수별가맹점수6개월미만(COUNT_06_MUN)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.502
Minimum0
Maximum6
Zeros332
Zeros (%)66.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:38.316496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.87150159
Coefficient of variation (CV)1.736059
Kurtosis7.7406423
Mean0.502
Median Absolute Deviation (MAD)0
Skewness2.3921976
Sum251
Variance0.75951503
MonotonicityNot monotonic
2023-12-10T23:58:38.618994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 332
66.4%
1 112
 
22.4%
2 40
 
8.0%
3 10
 
2.0%
5 3
 
0.6%
4 2
 
0.4%
6 1
 
0.2%
ValueCountFrequency (%)
0 332
66.4%
1 112
 
22.4%
2 40
 
8.0%
3 10
 
2.0%
4 2
 
0.4%
5 3
 
0.6%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
5 3
 
0.6%
4 2
 
0.4%
3 10
 
2.0%
2 40
 
8.0%
1 112
 
22.4%
0 332
66.4%

영업개월수별가맹점수6개월~1년미만(COUNT_01_YEAR)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.694
Minimum0
Maximum14
Zeros288
Zeros (%)57.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:38.840531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1913028
Coefficient of variation (CV)1.7165747
Kurtosis35.07865
Mean0.694
Median Absolute Deviation (MAD)0
Skewness4.343097
Sum347
Variance1.4192024
MonotonicityNot monotonic
2023-12-10T23:58:39.031319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 288
57.6%
1 136
27.2%
2 49
 
9.8%
3 17
 
3.4%
4 3
 
0.6%
5 2
 
0.4%
7 2
 
0.4%
6 2
 
0.4%
14 1
 
0.2%
ValueCountFrequency (%)
0 288
57.6%
1 136
27.2%
2 49
 
9.8%
3 17
 
3.4%
4 3
 
0.6%
5 2
 
0.4%
6 2
 
0.4%
7 2
 
0.4%
14 1
 
0.2%
ValueCountFrequency (%)
14 1
 
0.2%
7 2
 
0.4%
6 2
 
0.4%
5 2
 
0.4%
4 3
 
0.6%
3 17
 
3.4%
2 49
 
9.8%
1 136
27.2%
0 288
57.6%

영업개월수별가맹점수1년~2년미만(COUNT_02_YEAR)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.146
Minimum0
Maximum18
Zeros200
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:39.267255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6474563
Coefficient of variation (CV)1.4375709
Kurtosis30.950488
Mean1.146
Median Absolute Deviation (MAD)1
Skewness4.220072
Sum573
Variance2.7141122
MonotonicityNot monotonic
2023-12-10T23:58:39.516395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 200
40.0%
1 165
33.0%
2 81
16.2%
3 26
 
5.2%
4 12
 
2.4%
5 5
 
1.0%
6 4
 
0.8%
7 2
 
0.4%
8 2
 
0.4%
9 1
 
0.2%
Other values (2) 2
 
0.4%
ValueCountFrequency (%)
0 200
40.0%
1 165
33.0%
2 81
16.2%
3 26
 
5.2%
4 12
 
2.4%
5 5
 
1.0%
6 4
 
0.8%
7 2
 
0.4%
8 2
 
0.4%
9 1
 
0.2%
ValueCountFrequency (%)
18 1
 
0.2%
14 1
 
0.2%
9 1
 
0.2%
8 2
 
0.4%
7 2
 
0.4%
6 4
 
0.8%
5 5
 
1.0%
4 12
 
2.4%
3 26
 
5.2%
2 81
16.2%

영업개월수별가맹점수2년~3년미만(COUNT_03_YEAR)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.854
Minimum0
Maximum8
Zeros242
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:39.780895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1744969
Coefficient of variation (CV)1.3752891
Kurtosis6.3058909
Mean0.854
Median Absolute Deviation (MAD)1
Skewness2.1708926
Sum427
Variance1.3794429
MonotonicityNot monotonic
2023-12-10T23:58:40.009890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 242
48.4%
1 166
33.2%
2 54
 
10.8%
3 17
 
3.4%
4 10
 
2.0%
5 6
 
1.2%
6 4
 
0.8%
8 1
 
0.2%
ValueCountFrequency (%)
0 242
48.4%
1 166
33.2%
2 54
 
10.8%
3 17
 
3.4%
4 10
 
2.0%
5 6
 
1.2%
6 4
 
0.8%
8 1
 
0.2%
ValueCountFrequency (%)
8 1
 
0.2%
6 4
 
0.8%
5 6
 
1.2%
4 10
 
2.0%
3 17
 
3.4%
2 54
 
10.8%
1 166
33.2%
0 242
48.4%

영업개월수별가맹점수3년~4년미만(COUNT_04_YEAR)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.736
Minimum0
Maximum35
Zeros286
Zeros (%)57.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:40.242643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum35
Range35
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8786598
Coefficient of variation (CV)2.5525269
Kurtosis223.5658
Mean0.736
Median Absolute Deviation (MAD)0
Skewness12.796141
Sum368
Variance3.5293627
MonotonicityNot monotonic
2023-12-10T23:58:40.474382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 286
57.2%
1 141
28.2%
2 52
 
10.4%
3 10
 
2.0%
5 5
 
1.0%
4 2
 
0.4%
9 2
 
0.4%
35 1
 
0.2%
7 1
 
0.2%
ValueCountFrequency (%)
0 286
57.2%
1 141
28.2%
2 52
 
10.4%
3 10
 
2.0%
4 2
 
0.4%
5 5
 
1.0%
7 1
 
0.2%
9 2
 
0.4%
35 1
 
0.2%
ValueCountFrequency (%)
35 1
 
0.2%
9 2
 
0.4%
7 1
 
0.2%
5 5
 
1.0%
4 2
 
0.4%
3 10
 
2.0%
2 52
 
10.4%
1 141
28.2%
0 286
57.2%

영업대월수별가맹점수4년~5년미만(COUNT_05_YEAR)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.512
Minimum0
Maximum8
Zeros324
Zeros (%)64.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:40.716432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.87829312
Coefficient of variation (CV)1.7154162
Kurtosis14.52298
Mean0.512
Median Absolute Deviation (MAD)0
Skewness2.8855449
Sum256
Variance0.7713988
MonotonicityNot monotonic
2023-12-10T23:58:40.946577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 324
64.8%
1 121
 
24.2%
2 42
 
8.4%
3 7
 
1.4%
4 4
 
0.8%
6 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
0 324
64.8%
1 121
 
24.2%
2 42
 
8.4%
3 7
 
1.4%
4 4
 
0.8%
6 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
8 1
 
0.2%
6 1
 
0.2%
4 4
 
0.8%
3 7
 
1.4%
2 42
 
8.4%
1 121
 
24.2%
0 324
64.8%

영업개월수별가맹점수5년이상(COUNT_05_YEAR_OVER)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.892
Minimum0
Maximum44
Zeros51
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:41.242436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum44
Range44
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6539072
Coefficient of variation (CV)1.2634534
Kurtosis56.435889
Mean2.892
Median Absolute Deviation (MAD)1
Skewness6.260408
Sum1446
Variance13.351038
MonotonicityNot monotonic
2023-12-10T23:58:41.508639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 125
25.0%
1 116
23.2%
3 79
15.8%
0 51
10.2%
4 49
 
9.8%
5 31
 
6.2%
6 16
 
3.2%
7 13
 
2.6%
10 5
 
1.0%
8 4
 
0.8%
Other values (9) 11
 
2.2%
ValueCountFrequency (%)
0 51
10.2%
1 116
23.2%
2 125
25.0%
3 79
15.8%
4 49
 
9.8%
5 31
 
6.2%
6 16
 
3.2%
7 13
 
2.6%
8 4
 
0.8%
9 1
 
0.2%
ValueCountFrequency (%)
44 1
 
0.2%
36 1
 
0.2%
34 1
 
0.2%
21 1
 
0.2%
18 1
 
0.2%
15 1
 
0.2%
12 2
 
0.4%
11 2
 
0.4%
10 5
1.0%
9 1
 
0.2%

Sample

기준년월(YMD)블록코드(BLCK_CD)대분류업종코드(SVC_L_CD)대분류업종명(SVC_L_NM)당월가맹점수(BUSIN_CNT)법인매출금액합(CASH_COMP)남성매출금액합(CASH_MAN)여성매출금액합(CASH_WOMAN)10대매출금액의합(CASH_AGE10)20대매출금액의합(CASH_AGE20)30대매출금액의합(CASH_AGE30)40대매출금액의합(CASH_AGE40)50대매출금액의합(CASH_AGE50)60대매출금액의합(CASH_AGE60)일요일매출금액합(CASH_W1)월요일매출금액합(CASH_W2)화요일매출금액합(CASH_W3)수요일매출금액합(CASH_W4)목요일매출금액합(CASH_W5)금요일매출금액합(CASH_W6)토요일매출금액합(CASH_W7)시간1매출금액합(00:00~06:00)(CASH_T1)시간2매출금액합(06:01~11:00)(CASH_T2)시간3매출금액합(11:01~14:00)(CASH_T3)시간4매출금액합(14:01~17:00)(CASH_T4)시간5매출금액합(17:01~21:00)(CASH_T5)시간6매출금액합(21:01~24:00)(CASH_T6)법인매출건수합(COUNT_COMP)남성매출건수합(COUNT_MAN)여성매출건수합(COUNT_WOMAN)10대매출건수의합(COUNT_AGE10)20대매출건수의합(COUNT_AGE20)30대매출건수의합(COUNT_AGE30)40대매출건수의합(COUNT_AGE40)50대매출건수의합(COUNT_AGE50)60대매출건수의합(COUNT_AGE60)일요일매출건수합(COUNT_W1)월요일매출건수합(COUNT_W2)화요일매출건수합(COUNT_W3)수요일매출건수합(COUNT_W4)목요일매출건수합(COUNT_W5)금요일매출건수합(COUNT_W6)토요일매출건수합(COUNT_W7)시간1매출건수합(00:00~06:00)(COUNT_T1)시간2매출건수합(06:01~11:00)(COUNT_T2)시간3매출건수합(11:01~14:00)(COUNT_T3)시간4매출건수합(14:01~17:00)(COUNT_T4)시간5매출건수합(17:01~21:00)(COUNT_T5)시간6매출건수합(21:01~24:00)(COUNT_T6)10대재방문매출건수의합(REVISIT_COUNT10)20대재방문매출건수의합(REVISIT_COUNT20)30대재방문매출건수의합(REVISIT_COUNT30)40대재방문매출건수의합(REVISIT_COUNT40)50대재방문매출건수의합(REVISIT_COUNT50)60대재방문매출건수의합(REVISIT_COUNT60)가맹점영업개월수의합(BUSIN_SUM_MUN)영업개월수별가맹점수당월개업(COUNT_OPEN_MUN)영업개월수별가맹점수6개월미만(COUNT_06_MUN)영업개월수별가맹점수6개월~1년미만(COUNT_01_YEAR)영업개월수별가맹점수1년~2년미만(COUNT_02_YEAR)영업개월수별가맹점수2년~3년미만(COUNT_03_YEAR)영업개월수별가맹점수3년~4년미만(COUNT_04_YEAR)영업대월수별가맹점수4년~5년미만(COUNT_05_YEAR)영업개월수별가맹점수5년이상(COUNT_05_YEAR_OVER)
02015081*2*5*SF서비스업343350063350208123000020710038310001055100688090015117601152100028218008881680325000393500758000079093098820021640083700014025003660271215816314122614312672443708553215473937730099025418001111002
12016013*2*1*SD외식업41134855064693601988000389700325000958000229500379000775900387300029950022540002096350130500395000148999920091144021565004141940269350026915003869115421771843816221071365298333461601211041118265402602044100000102
22016051*0*4SQ외식업1573561502424800211443010090023607102920795077146003806000808753098650020562009200051015710037846002716700700000020100046458881278000198830017281002518003714103410192772225913805211381355392949711378252542231611102115
32015083*3*0*SF외식업3121000704900740190003734090440940043271507013502590003784600123933725260001324000131430035908002231000626516016850005000035450017371002162130111146166163916235681111626980287002168844150260700378010111044
42014112*6*7*SD도소매업12853009419900712951001453300309950062942002312300352000264740073780016856606852600527000126860016300001700023360503100900118697002641750712059284060478522183925342502081620420401401716615606131202066800010005
52014038*5*8SQ외식업4695000377720014000018000856758431956042400033960061700091000125800292090708323001067000252792024225007412003136003811200011810006650001118112124552671610133111361285214638912307491034562822295000760000000101
62015013*8*8*SF외식업650500060232902039900085234505936000893390049400105660025463650145850535001256145003278975786500065218902050001125003712000746230623431698329309172672761642448663691362347122070529900220101
72015021*9*3*SF외식업732000858550014169700623900161380050860394630774800165380010425001711180793680011027003960320110470800038500395000522010022913708512000625681106713375319211772217044172801121073341802406901183510310013
82015052*1*9*SF외식업333000922687045630757215900122130013563403328860111840017720031307002847000934900430600030857006098002598900019552001596200155419701069000637650304881063140195813712197727172112041336826642584113902401462567400111011
92015122*9*4SQ서비스업52337480458067010729001696002662700116300031685008825005800074220010971777013350006481001593001231000132400029000002360007565300202800015723080150314488102125710215023098568419836201283640356110022028030401051122
기준년월(YMD)블록코드(BLCK_CD)대분류업종코드(SVC_L_CD)대분류업종명(SVC_L_NM)당월가맹점수(BUSIN_CNT)법인매출금액합(CASH_COMP)남성매출금액합(CASH_MAN)여성매출금액합(CASH_WOMAN)10대매출금액의합(CASH_AGE10)20대매출금액의합(CASH_AGE20)30대매출금액의합(CASH_AGE30)40대매출금액의합(CASH_AGE40)50대매출금액의합(CASH_AGE50)60대매출금액의합(CASH_AGE60)일요일매출금액합(CASH_W1)월요일매출금액합(CASH_W2)화요일매출금액합(CASH_W3)수요일매출금액합(CASH_W4)목요일매출금액합(CASH_W5)금요일매출금액합(CASH_W6)토요일매출금액합(CASH_W7)시간1매출금액합(00:00~06:00)(CASH_T1)시간2매출금액합(06:01~11:00)(CASH_T2)시간3매출금액합(11:01~14:00)(CASH_T3)시간4매출금액합(14:01~17:00)(CASH_T4)시간5매출금액합(17:01~21:00)(CASH_T5)시간6매출금액합(21:01~24:00)(CASH_T6)법인매출건수합(COUNT_COMP)남성매출건수합(COUNT_MAN)여성매출건수합(COUNT_WOMAN)10대매출건수의합(COUNT_AGE10)20대매출건수의합(COUNT_AGE20)30대매출건수의합(COUNT_AGE30)40대매출건수의합(COUNT_AGE40)50대매출건수의합(COUNT_AGE50)60대매출건수의합(COUNT_AGE60)일요일매출건수합(COUNT_W1)월요일매출건수합(COUNT_W2)화요일매출건수합(COUNT_W3)수요일매출건수합(COUNT_W4)목요일매출건수합(COUNT_W5)금요일매출건수합(COUNT_W6)토요일매출건수합(COUNT_W7)시간1매출건수합(00:00~06:00)(COUNT_T1)시간2매출건수합(06:01~11:00)(COUNT_T2)시간3매출건수합(11:01~14:00)(COUNT_T3)시간4매출건수합(14:01~17:00)(COUNT_T4)시간5매출건수합(17:01~21:00)(COUNT_T5)시간6매출건수합(21:01~24:00)(COUNT_T6)10대재방문매출건수의합(REVISIT_COUNT10)20대재방문매출건수의합(REVISIT_COUNT20)30대재방문매출건수의합(REVISIT_COUNT30)40대재방문매출건수의합(REVISIT_COUNT40)50대재방문매출건수의합(REVISIT_COUNT50)60대재방문매출건수의합(REVISIT_COUNT60)가맹점영업개월수의합(BUSIN_SUM_MUN)영업개월수별가맹점수당월개업(COUNT_OPEN_MUN)영업개월수별가맹점수6개월미만(COUNT_06_MUN)영업개월수별가맹점수6개월~1년미만(COUNT_01_YEAR)영업개월수별가맹점수1년~2년미만(COUNT_02_YEAR)영업개월수별가맹점수2년~3년미만(COUNT_03_YEAR)영업개월수별가맹점수3년~4년미만(COUNT_04_YEAR)영업대월수별가맹점수4년~5년미만(COUNT_05_YEAR)영업개월수별가맹점수5년이상(COUNT_05_YEAR_OVER)
4902014042*9*8*SF도소매업30773106011208305154460789273002923030633950055000832700768900181000843369012950016520020508023048001001000433213017519603087600117101662315362117014916621012615226001344761141408126111732101000203
4912015113*4*1*SF도소매업7153344044916810258500025400012120013749001033514038815003235630559900254250057120021620501551900161405061000403000168036012600007514203395320012467500421582743022820152651232920231503121494129334441704702402066900110003
4922015092*0*8SQ서비스업315397901703800078080200041185009267858131050772003753009000024870006165810301480010536006796001493000370200600005828000117101301836000125012741124640151469892584362467200137704833021214261089100100014
4932014111*1*3SQ외식업4074029440394070007360002594583166523002165450140001386000776080014227501438500133000703350856144024560027000408670050753205574000041945623568811561420252313432016802210619171641970252302902266600110005
4942015073*9*8*SD도소매업66196001756883050600080000503001359000540550060500206950089270067680045000011150078000097000725390021947801208002000150325800002231238020030758373426778402388782600158562049001022036201000027
4952015053*5*0*SQ도소매업50319616003222051049000162000224407052710069000058850053880038840003043800272298025209108550007652805350001640980121630040456001127509025719601034438357581585884158737246158401410321012717023048234551053411010223
4962014042*9*2*SQ외식업412650002892003931490040000066110014740001586100487340026550001597100203210354480001724600454800071100000106840024000736321544465602411622700254369110811231069115511432424612633428300161024055501000001
4972014121*7*6*SD외식업1232750041842326176501994001273500572858525820008200032000045424353275300182000012863630397845303216085046182910475500029195005692000176100028960703232190155127013157240294147586228140146621253100046031623700121114
4982016022*1*0*SF외식업2312472304780800128629002000019080002907400885539017172007200012660006953001075277011170003447013370003034500010140001816100544000488910402130003226547691571343317021029201575123421885436914266002120238000121103
4992016043*5*1*SF외식업30809200577400005886506100002627000370000652300499520010500045920009426000750310263835095099024040043000203790011103558229947683900530325211801081372350136065431283741175682011245517044820024700020001