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 (74.1%)Imbalance
법인매출금액합(CASH_COMP) has 62 (12.4%) zerosZeros
10대매출금액의합(CASH_AGE10) has 174 (34.8%) zerosZeros
20대매출금액의합(CASH_AGE20) has 47 (9.4%) zerosZeros
30대매출금액의합(CASH_AGE30) has 20 (4.0%) zerosZeros
50대매출금액의합(CASH_AGE50) has 18 (3.6%) zerosZeros
60대매출금액의합(CASH_AGE60) has 50 (10.0%) zerosZeros
일요일매출금액합(CASH_W1) has 13 (2.6%) zerosZeros
월요일매출금액합(CASH_W2) has 10 (2.0%) zerosZeros
화요일매출금액합(CASH_W3) has 9 (1.8%) zerosZeros
목요일매출금액합(CASH_W5) has 7 (1.4%) zerosZeros
금요일매출금액합(CASH_W6) has 21 (4.2%) zerosZeros
토요일매출금액합(CASH_W7) has 93 (18.6%) zerosZeros
시간1매출금액합(00:00~06:00)(CASH_T1) has 251 (50.2%) zerosZeros
시간2매출금액합(06:01~11:00)(CASH_T2) has 127 (25.4%) zerosZeros
시간3매출금액합(11:01~14:00)(CASH_T3) has 52 (10.4%) zerosZeros
시간4매출금액합(14:01~17:00)(CASH_T4) has 37 (7.4%) zerosZeros
시간5매출금액합(17:01~21:00)(CASH_T5) has 8 (1.6%) zerosZeros
시간6매출금액합(21:01~24:00)(CASH_T6) has 89 (17.8%) zerosZeros
법인매출건수합(COUNT_COMP) has 56 (11.2%) zerosZeros
10대매출건수의합(COUNT_AGE10) has 152 (30.4%) zerosZeros
20대매출건수의합(COUNT_AGE20) has 45 (9.0%) zerosZeros
30대매출건수의합(COUNT_AGE30) has 20 (4.0%) zerosZeros
40대매출건수의합(COUNT_AGE40) has 9 (1.8%) zerosZeros
50대매출건수의합(COUNT_AGE50) has 22 (4.4%) zerosZeros
60대매출건수의합(COUNT_AGE60) has 43 (8.6%) zerosZeros
일요일매출건수합(COUNT_W1) has 7 (1.4%) zerosZeros
월요일매출건수합(COUNT_W2) has 6 (1.2%) zerosZeros
화요일매출건수합(COUNT_W3) has 12 (2.4%) zerosZeros
수요일매출건수합(COUNT_W4) has 6 (1.2%) zerosZeros
목요일매출건수합(COUNT_W5) has 8 (1.6%) zerosZeros
금요일매출건수합(COUNT_W6) has 13 (2.6%) zerosZeros
토요일매출건수합(COUNT_W7) has 92 (18.4%) zerosZeros
시간1매출건수합(00:00~06:00)(COUNT_T1) has 258 (51.6%) zerosZeros
시간2매출건수합(06:01~11:00)(COUNT_T2) has 127 (25.4%) zerosZeros
시간3매출건수합(11:01~14:00)(COUNT_T3) has 34 (6.8%) zerosZeros
시간4매출건수합(14:01~17:00)(COUNT_T4) has 23 (4.6%) zerosZeros
시간5매출건수합(17:01~21:00)(COUNT_T5) has 6 (1.2%) zerosZeros
시간6매출건수합(21:01~24:00)(COUNT_T6) has 85 (17.0%) zerosZeros
10대재방문매출건수의합(REVISIT_COUNT10) has 414 (82.8%) zerosZeros
20대재방문매출건수의합(REVISIT_COUNT20) has 227 (45.4%) zerosZeros
30대재방문매출건수의합(REVISIT_COUNT30) has 173 (34.6%) zerosZeros
40대재방문매출건수의합(REVISIT_COUNT40) has 177 (35.4%) zerosZeros
50대재방문매출건수의합(REVISIT_COUNT50) has 199 (39.8%) zerosZeros
60대재방문매출건수의합(REVISIT_COUNT60) has 300 (60.0%) zerosZeros
영업개월수별가맹점수6개월미만(COUNT_06_MUN) has 358 (71.6%) zerosZeros
영업개월수별가맹점수6개월~1년미만(COUNT_01_YEAR) has 316 (63.2%) zerosZeros
영업개월수별가맹점수1년~2년미만(COUNT_02_YEAR) has 243 (48.6%) zerosZeros
영업개월수별가맹점수2년~3년미만(COUNT_03_YEAR) has 295 (59.0%) zerosZeros
영업개월수별가맹점수3년~4년미만(COUNT_04_YEAR) has 305 (61.0%) zerosZeros
영업대월수별가맹점수4년~5년미만(COUNT_05_YEAR) has 335 (67.0%) zerosZeros
영업개월수별가맹점수5년이상(COUNT_05_YEAR_OVER) has 114 (22.8%) zerosZeros

Reproduction

Analysis started2023-12-10 14:58:45.387357
Analysis finished2023-12-10 14:58:46.239977
Duration0.85 seconds
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%
Mean201485.93
Minimum201401
Maximum201606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:46.324178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201401
5-th percentile201402
Q1201409
median201503
Q3201511
95-th percentile201605
Maximum201606
Range205
Interquartile range (IQR)102

Descriptive statistics

Standard deviation72.375507
Coefficient of variation (CV)0.00035920873
Kurtosis-1.1055612
Mean201485.93
Median Absolute Deviation (MAD)93
Skewness0.31017839
Sum1.0074297 × 108
Variance5238.2141
MonotonicityNot monotonic
2023-12-10T23:58:46.569911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
201503 23
 
4.6%
201412 23
 
4.6%
201409 23
 
4.6%
201605 22
 
4.4%
201502 21
 
4.2%
201407 20
 
4.0%
201510 19
 
3.8%
201504 19
 
3.8%
201501 18
 
3.6%
201401 18
 
3.6%
Other values (20) 294
58.8%
ValueCountFrequency (%)
201401 18
3.6%
201402 13
2.6%
201403 17
3.4%
201404 11
2.2%
201405 14
2.8%
201406 16
3.2%
201407 20
4.0%
201408 15
3.0%
201409 23
4.6%
201410 12
2.4%
ValueCountFrequency (%)
201606 14
2.8%
201605 22
4.4%
201604 16
3.2%
201603 17
3.4%
201602 13
2.6%
201601 12
2.4%
201512 15
3.0%
201511 17
3.4%
201510 19
3.8%
201509 14
2.8%

블록코드(BLCK_CD)
Text

Distinct293
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T23:58:47.253697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.686
Min length4

Characters and Unicode

Total characters2843
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

Unique179 ?
Unique (%)35.8%

Sample

1st row2*3*5
2nd row3*1*0*
3rd row1*8*0*
4th row2*0*0
5th row1*4*5*
ValueCountFrequency (%)
2*9*7 9
 
1.8%
2*6*2 6
 
1.2%
3*3*1 6
 
1.2%
2*1*2 6
 
1.2%
2*7*7 6
 
1.2%
2*3*2 6
 
1.2%
2*3*1 6
 
1.2%
1*4*4 5
 
1.0%
1*8*9 5
 
1.0%
2*5*0 5
 
1.0%
Other values (229) 440
88.0%
2023-12-10T23:58:48.213051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1364
48.0%
2 342
 
12.0%
1 218
 
7.7%
3 205
 
7.2%
9 119
 
4.2%
4 117
 
4.1%
5 117
 
4.1%
7 102
 
3.6%
6 95
 
3.3%
0 93
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1479
52.0%
Other Punctuation 1364
48.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 342
23.1%
1 218
14.7%
3 205
13.9%
9 119
 
8.0%
4 117
 
7.9%
5 117
 
7.9%
7 102
 
6.9%
6 95
 
6.4%
0 93
 
6.3%
8 71
 
4.8%
Other Punctuation
ValueCountFrequency (%)
* 1364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2843
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 1364
48.0%
2 342
 
12.0%
1 218
 
7.7%
3 205
 
7.2%
9 119
 
4.2%
4 117
 
4.1%
5 117
 
4.1%
7 102
 
3.6%
6 95
 
3.3%
0 93
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2843
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1364
48.0%
2 342
 
12.0%
1 218
 
7.7%
3 205
 
7.2%
9 119
 
4.2%
4 117
 
4.1%
5 117
 
4.1%
7 102
 
3.6%
6 95
 
3.3%
0 93
 
3.3%

43종업종코드(BUSIN_CODE)
Categorical

Distinct33
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
SQ01
216 
SQ09
39 
SF04
28 
SD11
25 
SD07
25 
Other values (28)
167 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique5 ?
Unique (%)1.0%

Sample

1st rowSQ01
2nd rowSF08
3rd rowSF21
4th rowSQ01
5th rowSF05

Common Values

ValueCountFrequency (%)
SQ01 216
43.2%
SQ09 39
 
7.8%
SF04 28
 
5.6%
SD11 25
 
5.0%
SD07 25
 
5.0%
SF16 19
 
3.8%
SF01 12
 
2.4%
SF05 11
 
2.2%
SF08 11
 
2.2%
SD09 10
 
2.0%
Other values (23) 104
20.8%

Length

2023-12-10T23:58:48.498853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
sq01 216
43.2%
sq09 39
 
7.8%
sf04 28
 
5.6%
sd11 25
 
5.0%
sd07 25
 
5.0%
sf16 19
 
3.8%
sf01 12
 
2.4%
sf05 11
 
2.2%
sf08 11
 
2.2%
sd09 10
 
2.0%
Other values (23) 104
20.8%

43종업종명(BUSIN_NM)
Categorical

Distinct33
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
한식음식점
227 
의류점
31 
호프간이주점
29 
일반의원
28 
입시보습학원
 
17
Other values (28)
168 

Length

Max length7
Median length5
Mean length4.602
Min length2

Unique

Unique4 ?
Unique (%)0.8%

Sample

1st row한식음식점
2nd row한식음식점
3rd row중국음식점
4th row외국어학원
5th row한식음식점

Common Values

ValueCountFrequency (%)
한식음식점 227
45.4%
의류점 31
 
6.2%
호프간이주점 29
 
5.8%
일반의원 28
 
5.6%
입시보습학원 17
 
3.4%
화장품 15
 
3.0%
치과의원 13
 
2.6%
커피음료점 12
 
2.4%
보육시설 11
 
2.2%
자동차수리 11
 
2.2%
Other values (23) 106
21.2%

Length

2023-12-10T23:58:48.759452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식음식점 227
45.4%
의류점 31
 
6.2%
호프간이주점 29
 
5.8%
일반의원 28
 
5.6%
입시보습학원 17
 
3.4%
화장품 15
 
3.0%
치과의원 13
 
2.6%
커피음료점 12
 
2.4%
보육시설 11
 
2.2%
자동차수리 11
 
2.2%
Other values (23) 106
21.2%

당월가맹점수(BUSIN_CNT)
Real number (ℝ)

Distinct24
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.472
Minimum3
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:48.967585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median4
Q36
95-th percentile13
Maximum92
Range89
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.7130109
Coefficient of variation (CV)1.0440444
Kurtosis114.89522
Mean5.472
Median Absolute Deviation (MAD)1
Skewness8.7901567
Sum2736
Variance32.638493
MonotonicityNot monotonic
2023-12-10T23:58:49.190318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 209
41.8%
4 98
19.6%
5 67
 
13.4%
6 25
 
5.0%
7 21
 
4.2%
8 16
 
3.2%
10 14
 
2.8%
9 13
 
2.6%
13 7
 
1.4%
16 5
 
1.0%
Other values (14) 25
 
5.0%
ValueCountFrequency (%)
3 209
41.8%
4 98
19.6%
5 67
 
13.4%
6 25
 
5.0%
7 21
 
4.2%
8 16
 
3.2%
9 13
 
2.6%
10 14
 
2.8%
11 3
 
0.6%
12 4
 
0.8%
ValueCountFrequency (%)
92 1
 
0.2%
52 1
 
0.2%
30 1
 
0.2%
28 1
 
0.2%
25 1
 
0.2%
23 1
 
0.2%
20 1
 
0.2%
19 1
 
0.2%
18 3
0.6%
17 2
0.4%

법인매출금액합(CASH_COMP)
Real number (ℝ)

ZEROS 

Distinct425
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3727003.6
Minimum0
Maximum2.6957568 × 108
Zeros62
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:49.442520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1168000
median846500
Q32590950
95-th percentile13795297
Maximum2.6957568 × 108
Range2.6957568 × 108
Interquartile range (IQR)2422950

Descriptive statistics

Standard deviation14483848
Coefficient of variation (CV)3.8861911
Kurtosis232.37907
Mean3727003.6
Median Absolute Deviation (MAD)804000
Skewness13.557691
Sum1.8635018 × 109
Variance2.0978186 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:49.740630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
 
12.4%
177000 3
 
0.6%
10000 3
 
0.6%
50000 2
 
0.4%
218800 2
 
0.4%
280000 2
 
0.4%
85000 2
 
0.4%
120000 2
 
0.4%
51000 2
 
0.4%
176000 2
 
0.4%
Other values (415) 418
83.6%
ValueCountFrequency (%)
0 62
12.4%
100 1
 
0.2%
10000 3
 
0.6%
13100 1
 
0.2%
16500 1
 
0.2%
17000 1
 
0.2%
22000 1
 
0.2%
26500 1
 
0.2%
28000 1
 
0.2%
31000 1
 
0.2%
ValueCountFrequency (%)
269575685 1
0.2%
85758010 1
0.2%
72637095 1
0.2%
70168274 1
0.2%
68092640 1
0.2%
46906870 1
0.2%
40316900 1
0.2%
31854500 1
0.2%
30877400 1
0.2%
30740000 1
0.2%

남성매출금액합(CASH_MAN)
Real number (ℝ)

Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8940282.2
Minimum0
Maximum1.174585 × 108
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:49.988904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile392544.5
Q11763000
median4558145
Q310151450
95-th percentile34552124
Maximum1.174585 × 108
Range1.174585 × 108
Interquartile range (IQR)8388450

Descriptive statistics

Standard deviation13878625
Coefficient of variation (CV)1.5523699
Kurtosis22.893249
Mean8940282.2
Median Absolute Deviation (MAD)3224250
Skewness4.1602413
Sum4.4701411 × 109
Variance1.9261622 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:50.255622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
0.4%
1500000 2
 
0.4%
150000 2
 
0.4%
6629800 1
 
0.2%
16804000 1
 
0.2%
5642250 1
 
0.2%
12999000 1
 
0.2%
8160600 1
 
0.2%
2634000 1
 
0.2%
23636000 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
0 2
0.4%
20000 1
0.2%
37000 1
0.2%
57600 1
0.2%
71000 1
0.2%
88000 1
0.2%
100000 1
0.2%
102000 1
0.2%
109000 1
0.2%
114800 1
0.2%
ValueCountFrequency (%)
117458500 1
0.2%
112106960 1
0.2%
105169480 1
0.2%
90714620 1
0.2%
82157000 1
0.2%
76378430 1
0.2%
62400500 1
0.2%
56663000 1
0.2%
52970780 1
0.2%
52697250 1
0.2%

여성매출금액합(CASH_WOMAN)
Real number (ℝ)

Distinct493
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10805390
Minimum0
Maximum7.5036497 × 108
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:50.491499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile261225
Q11448499.8
median3483555
Q38609552.5
95-th percentile29279181
Maximum7.5036497 × 108
Range7.5036497 × 108
Interquartile range (IQR)7161052.8

Descriptive statistics

Standard deviation42503723
Coefficient of variation (CV)3.9335669
Kurtosis203.81763
Mean10805390
Median Absolute Deviation (MAD)2718900
Skewness13.089344
Sum5.4026948 × 109
Variance1.8065664 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:50.713207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
350000 2
 
0.4%
430000 2
 
0.4%
570000 2
 
0.4%
699000 2
 
0.4%
2386000 1
 
0.2%
7104000 1
 
0.2%
14120700 1
 
0.2%
3659800 1
 
0.2%
4323000 1
 
0.2%
Other values (483) 483
96.6%
ValueCountFrequency (%)
0 4
0.8%
15000 1
 
0.2%
25000 1
 
0.2%
50000 1
 
0.2%
62000 1
 
0.2%
77000 1
 
0.2%
80000 1
 
0.2%
100000 1
 
0.2%
102000 1
 
0.2%
119000 1
 
0.2%
ValueCountFrequency (%)
750364970 1
0.2%
420712306 1
0.2%
267564600 1
0.2%
147681150 1
0.2%
146946250 1
0.2%
123571780 1
0.2%
112984000 1
0.2%
92756150 1
0.2%
91711200 1
0.2%
71855610 1
0.2%

10대매출금액의합(CASH_AGE10)
Real number (ℝ)

ZEROS 

Distinct296
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273971.19
Minimum0
Maximum15316550
Zeros174
Zeros (%)34.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:50.970842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median39250
Q3230600
95-th percentile1094797.5
Maximum15316550
Range15316550
Interquartile range (IQR)230600

Descriptive statistics

Standard deviation921387.84
Coefficient of variation (CV)3.3630829
Kurtosis152.07455
Mean273971.19
Median Absolute Deviation (MAD)39250
Skewness10.691277
Sum1.369856 × 108
Variance8.4895554 × 1011
MonotonicityNot monotonic
2023-12-10T23:58:51.211307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
34.8%
12000 4
 
0.8%
20000 3
 
0.6%
6000 3
 
0.6%
56000 3
 
0.6%
30000 3
 
0.6%
35000 3
 
0.6%
54000 3
 
0.6%
8000 2
 
0.4%
21000 2
 
0.4%
Other values (286) 300
60.0%
ValueCountFrequency (%)
0 174
34.8%
3500 1
 
0.2%
3600 1
 
0.2%
4000 1
 
0.2%
4200 2
 
0.4%
5000 1
 
0.2%
5500 2
 
0.4%
6000 3
 
0.6%
7000 1
 
0.2%
8000 2
 
0.4%
ValueCountFrequency (%)
15316550 1
0.2%
6761850 1
0.2%
5817990 1
0.2%
4762090 1
0.2%
4474350 1
0.2%
4404120 1
0.2%
3636100 1
0.2%
2290540 1
0.2%
1848850 1
0.2%
1776250 1
0.2%

20대매출금액의합(CASH_AGE20)
Real number (ℝ)

ZEROS 

Distinct450
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3167890.5
Minimum0
Maximum1.2331365 × 108
Zeros47
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:51.517735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1268100
median1178650
Q33057445
95-th percentile12626375
Maximum1.2331365 × 108
Range1.2331365 × 108
Interquartile range (IQR)2789345

Descriptive statistics

Standard deviation7680763.5
Coefficient of variation (CV)2.4245673
Kurtosis125.25479
Mean3167890.5
Median Absolute Deviation (MAD)1061200
Skewness9.2314362
Sum1.5839452 × 109
Variance5.8994128 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:51.969982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
9.4%
5000 2
 
0.4%
36000 2
 
0.4%
715000 2
 
0.4%
115000 2
 
0.4%
198300 1
 
0.2%
476000 1
 
0.2%
2737100 1
 
0.2%
1447200 1
 
0.2%
80000 1
 
0.2%
Other values (440) 440
88.0%
ValueCountFrequency (%)
0 47
9.4%
1000 1
 
0.2%
2800 1
 
0.2%
3520 1
 
0.2%
5000 2
 
0.4%
7000 1
 
0.2%
9500 1
 
0.2%
10000 1
 
0.2%
18000 1
 
0.2%
22000 1
 
0.2%
ValueCountFrequency (%)
123313650 1
0.2%
48002600 1
0.2%
44724200 1
0.2%
35667600 1
0.2%
35565100 1
0.2%
32850800 1
0.2%
28102570 1
0.2%
28061050 1
0.2%
21394500 1
0.2%
21306760 1
0.2%

30대매출금액의합(CASH_AGE30)
Real number (ℝ)

ZEROS 

Distinct475
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6701339.8
Minimum0
Maximum1.0033814 × 109
Zeros20
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:52.255995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19850
Q1601017.5
median1847150
Q34739925
95-th percentile16083110
Maximum1.0033814 × 109
Range1.0033814 × 109
Interquartile range (IQR)4138907.5

Descriptive statistics

Standard deviation47165769
Coefficient of variation (CV)7.0382596
Kurtosis404.01837
Mean6701339.8
Median Absolute Deviation (MAD)1523850
Skewness19.452589
Sum3.3506699 × 109
Variance2.2246098 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:52.527792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
4.0%
10000 3
 
0.6%
1879000 2
 
0.4%
420000 2
 
0.4%
175000 2
 
0.4%
82000 2
 
0.4%
238800 1
 
0.2%
833000 1
 
0.2%
7004000 1
 
0.2%
1818000 1
 
0.2%
Other values (465) 465
93.0%
ValueCountFrequency (%)
0 20
4.0%
6000 1
 
0.2%
10000 3
 
0.6%
17000 1
 
0.2%
20000 1
 
0.2%
40000 1
 
0.2%
40150 1
 
0.2%
43000 1
 
0.2%
46000 1
 
0.2%
50000 1
 
0.2%
ValueCountFrequency (%)
1003381360 1
0.2%
285157180 1
0.2%
143928960 1
0.2%
52654670 1
0.2%
40286765 1
0.2%
31841600 1
0.2%
31607540 1
0.2%
31553290 1
0.2%
26139460 1
0.2%
24663619 1
0.2%

40대매출금액의합(CASH_AGE40)
Real number (ℝ)

Distinct486
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4646500.7
Minimum0
Maximum1.2853884 × 108
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:52.800132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile175865
Q1870875
median2029715
Q34437500
95-th percentile13632880
Maximum1.2853884 × 108
Range1.2853884 × 108
Interquartile range (IQR)3566625

Descriptive statistics

Standard deviation11731483
Coefficient of variation (CV)2.5247997
Kurtosis74.865668
Mean4646500.7
Median Absolute Deviation (MAD)1403250
Skewness8.0278733
Sum2.3232504 × 109
Variance1.376277 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:53.067207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
1.0%
1500000 2
 
0.4%
449000 2
 
0.4%
240000 2
 
0.4%
867000 2
 
0.4%
370000 2
 
0.4%
857900 2
 
0.4%
155000 2
 
0.4%
120000 2
 
0.4%
426000 2
 
0.4%
Other values (476) 477
95.4%
ValueCountFrequency (%)
0 5
1.0%
12000 1
 
0.2%
22000 1
 
0.2%
25000 1
 
0.2%
48000 1
 
0.2%
50000 1
 
0.2%
59500 1
 
0.2%
96000 1
 
0.2%
97000 1
 
0.2%
99000 1
 
0.2%
ValueCountFrequency (%)
128538840 1
0.2%
128016480 1
0.2%
121898984 1
0.2%
84537840 1
0.2%
74985929 1
0.2%
41798450 1
0.2%
38503000 1
0.2%
36529500 1
0.2%
30956550 1
0.2%
25149900 1
0.2%

50대매출금액의합(CASH_AGE50)
Real number (ℝ)

ZEROS 

Distinct475
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3137817.6
Minimum0
Maximum64852620
Zeros18
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:53.485063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42900
Q1437400
median1285200
Q33232900
95-th percentile11342440
Maximum64852620
Range64852620
Interquartile range (IQR)2795500

Descriptive statistics

Standard deviation6073842
Coefficient of variation (CV)1.9356899
Kurtosis38.455159
Mean3137817.6
Median Absolute Deviation (MAD)1048512.5
Skewness5.392468
Sum1.5689088 × 109
Variance3.6891557 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:53.761919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
3.6%
316500 2
 
0.4%
237000 2
 
0.4%
280000 2
 
0.4%
149000 2
 
0.4%
616000 2
 
0.4%
438000 2
 
0.4%
1100000 2
 
0.4%
305000 2
 
0.4%
955000 1
 
0.2%
Other values (465) 465
93.0%
ValueCountFrequency (%)
0 18
3.6%
10000 1
 
0.2%
18000 1
 
0.2%
21000 1
 
0.2%
35000 1
 
0.2%
35865 1
 
0.2%
38000 1
 
0.2%
41000 1
 
0.2%
43000 1
 
0.2%
45000 1
 
0.2%
ValueCountFrequency (%)
64852620 1
0.2%
48775471 1
0.2%
47642340 1
0.2%
41938100 1
0.2%
31143510 1
0.2%
29127900 1
0.2%
29053600 1
0.2%
26497120 1
0.2%
26145400 1
0.2%
24500700 1
0.2%

60대매출금액의합(CASH_AGE60)
Real number (ℝ)

ZEROS 

Distinct431
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2388607.1
Minimum0
Maximum2.3151084 × 108
Zeros50
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:54.095245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1120500
median405600
Q31444832.5
95-th percentile7245420
Maximum2.3151084 × 108
Range2.3151084 × 108
Interquartile range (IQR)1324332.5

Descriptive statistics

Standard deviation13545660
Coefficient of variation (CV)5.6709451
Kurtosis224.23558
Mean2388607.1
Median Absolute Deviation (MAD)364000
Skewness14.438627
Sum1.1943036 × 109
Variance1.834849 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:54.809906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
10.0%
260000 3
 
0.6%
351000 3
 
0.6%
18000 3
 
0.6%
56000 2
 
0.4%
98000 2
 
0.4%
190000 2
 
0.4%
416000 2
 
0.4%
300000 2
 
0.4%
50000 2
 
0.4%
Other values (421) 429
85.8%
ValueCountFrequency (%)
0 50
10.0%
9000 1
 
0.2%
12000 1
 
0.2%
14000 1
 
0.2%
15000 2
 
0.4%
17000 1
 
0.2%
17800 1
 
0.2%
18000 3
 
0.6%
21000 1
 
0.2%
21100 1
 
0.2%
ValueCountFrequency (%)
231510839 1
0.2%
180753590 1
0.2%
42473020 1
0.2%
27910700 1
0.2%
27301000 1
0.2%
24684050 1
0.2%
22386800 1
0.2%
21041200 1
0.2%
19436000 1
0.2%
14337000 1
0.2%

일요일매출금액합(CASH_W1)
Real number (ℝ)

ZEROS 

Distinct476
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5758450.8
Minimum0
Maximum3.9000062 × 108
Zeros13
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:55.112512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile110600
Q1543700
median1307770
Q33046200
95-th percentile9420005
Maximum3.9000062 × 108
Range3.9000062 × 108
Interquartile range (IQR)2502500

Descriptive statistics

Standard deviation31432324
Coefficient of variation (CV)5.4584688
Kurtosis109.14434
Mean5758450.8
Median Absolute Deviation (MAD)928095
Skewness10.223194
Sum2.8792254 × 109
Variance9.8799098 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:55.427538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
2.6%
761000 3
 
0.6%
520000 2
 
0.4%
1973500 2
 
0.4%
822000 2
 
0.4%
1011000 2
 
0.4%
770500 2
 
0.4%
114000 2
 
0.4%
103000 2
 
0.4%
203000 2
 
0.4%
Other values (466) 468
93.6%
ValueCountFrequency (%)
0 13
2.6%
10000 1
 
0.2%
14000 1
 
0.2%
30000 1
 
0.2%
37000 1
 
0.2%
42000 1
 
0.2%
50000 1
 
0.2%
60000 1
 
0.2%
67000 1
 
0.2%
81000 1
 
0.2%
ValueCountFrequency (%)
390000620 1
0.2%
352313580 1
0.2%
343986230 1
0.2%
257971080 1
0.2%
143913020 1
0.2%
132501350 1
0.2%
36837100 1
0.2%
30501700 1
0.2%
26540220 1
0.2%
26297500 1
0.2%

월요일매출금액합(CASH_W2)
Real number (ℝ)

ZEROS 

Distinct477
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2835968.3
Minimum0
Maximum76908050
Zeros10
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:55.783943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile85310
Q1567007.5
median1416180
Q33267125
95-th percentile9074056.5
Maximum76908050
Range76908050
Interquartile range (IQR)2700117.5

Descriptive statistics

Standard deviation5231552.4
Coefficient of variation (CV)1.8447147
Kurtosis94.112113
Mean2835968.3
Median Absolute Deviation (MAD)1017680
Skewness8.0201563
Sum1.4179842 × 109
Variance2.736914 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:56.081483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
2.0%
185000 3
 
0.6%
612000 2
 
0.4%
350000 2
 
0.4%
520000 2
 
0.4%
1410000 2
 
0.4%
1085000 2
 
0.4%
652000 2
 
0.4%
30000 2
 
0.4%
390000 2
 
0.4%
Other values (467) 471
94.2%
ValueCountFrequency (%)
0 10
2.0%
8000 1
 
0.2%
9700 1
 
0.2%
14600 1
 
0.2%
17000 1
 
0.2%
20000 2
 
0.4%
30000 2
 
0.4%
47500 1
 
0.2%
49500 1
 
0.2%
52000 1
 
0.2%
ValueCountFrequency (%)
76908050 1
0.2%
48183805 1
0.2%
32470900 1
0.2%
24024950 1
0.2%
22914530 1
0.2%
21340620 1
0.2%
20847000 1
0.2%
16778000 1
0.2%
16605400 1
0.2%
13988200 1
0.2%

화요일매출금액합(CASH_W3)
Real number (ℝ)

ZEROS 

Distinct476
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2877863
Minimum0
Maximum78695120
Zeros9
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:56.376297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile118325
Q1578750
median1379700
Q33362937.5
95-th percentile11186405
Maximum78695120
Range78695120
Interquartile range (IQR)2784187.5

Descriptive statistics

Standard deviation5189352
Coefficient of variation (CV)1.8031963
Kurtosis95.22241
Mean2877863
Median Absolute Deviation (MAD)1045800
Skewness7.7106546
Sum1.4389315 × 109
Variance2.6929374 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:56.659558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
1.8%
100000 3
 
0.6%
700000 2
 
0.4%
256000 2
 
0.4%
1410000 2
 
0.4%
108000 2
 
0.4%
1370000 2
 
0.4%
150000 2
 
0.4%
670000 2
 
0.4%
224000 2
 
0.4%
Other values (466) 472
94.4%
ValueCountFrequency (%)
0 9
1.8%
17600 1
 
0.2%
18000 1
 
0.2%
37000 1
 
0.2%
49000 1
 
0.2%
90000 1
 
0.2%
100000 3
 
0.6%
103000 1
 
0.2%
107500 1
 
0.2%
108000 2
 
0.4%
ValueCountFrequency (%)
78695120 1
0.2%
31041860 1
0.2%
28956900 1
0.2%
25061000 1
0.2%
23507675 1
0.2%
21791500 1
0.2%
18935200 1
0.2%
18064200 1
0.2%
17228300 1
0.2%
16443270 1
0.2%

수요일매출금액합(CASH_W4)
Real number (ℝ)

Distinct489
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4195206.9
Minimum0
Maximum4.9026027 × 108
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:56.918543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile124750
Q1615275
median1413300
Q33336187.5
95-th percentile11043870
Maximum4.9026027 × 108
Range4.9026027 × 108
Interquartile range (IQR)2720912.5

Descriptive statistics

Standard deviation23209595
Coefficient of variation (CV)5.5324076
Kurtosis389.84989
Mean4195206.9
Median Absolute Deviation (MAD)1034300
Skewness18.959968
Sum2.0976035 × 109
Variance5.3868528 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:57.380196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
171000 2
 
0.4%
132000 2
 
0.4%
564000 2
 
0.4%
40000 2
 
0.4%
360000 2
 
0.4%
981000 2
 
0.4%
2370000 2
 
0.4%
0 2
 
0.4%
50000 2
 
0.4%
320000 2
 
0.4%
Other values (479) 480
96.0%
ValueCountFrequency (%)
0 2
0.4%
8000 1
0.2%
11000 1
0.2%
13000 1
0.2%
15000 1
0.2%
16000 1
0.2%
20000 1
0.2%
40000 2
0.4%
41000 1
0.2%
50000 2
0.4%
ValueCountFrequency (%)
490260271 1
0.2%
143758310 1
0.2%
50188960 1
0.2%
42321100 1
0.2%
40374090 1
0.2%
34123200 1
0.2%
24658500 1
0.2%
22274890 1
0.2%
21342300 1
0.2%
20704700 1
0.2%

목요일매출금액합(CASH_W5)
Real number (ℝ)

ZEROS 

Distinct489
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7837330.6
Minimum0
Maximum8.1363449 × 108
Zeros7
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:57.925362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile104800
Q1670250
median1593400
Q33573280
95-th percentile15152272
Maximum8.1363449 × 108
Range8.1363449 × 108
Interquartile range (IQR)2903030

Descriptive statistics

Standard deviation52745299
Coefficient of variation (CV)6.7300081
Kurtosis194.86513
Mean7837330.6
Median Absolute Deviation (MAD)1199305
Skewness13.579742
Sum3.9186653 × 109
Variance2.7820665 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:58.232408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
1.4%
1494000 2
 
0.4%
400000 2
 
0.4%
692000 2
 
0.4%
150000 2
 
0.4%
941000 2
 
0.4%
907500 1
 
0.2%
120000 1
 
0.2%
2118399 1
 
0.2%
24494300 1
 
0.2%
Other values (479) 479
95.8%
ValueCountFrequency (%)
0 7
1.4%
4500 1
 
0.2%
10000 1
 
0.2%
29000 1
 
0.2%
40000 1
 
0.2%
48000 1
 
0.2%
49000 1
 
0.2%
50000 1
 
0.2%
52000 1
 
0.2%
57800 1
 
0.2%
ValueCountFrequency (%)
813634490 1
0.2%
760412110 1
0.2%
341233630 1
0.2%
120549980 1
0.2%
117818870 1
0.2%
89884320 1
0.2%
88620800 1
0.2%
42473660 1
0.2%
42283800 1
0.2%
35786570 1
0.2%

금요일매출금액합(CASH_W6)
Real number (ℝ)

ZEROS 

Distinct476
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5173339.2
Minimum0
Maximum5.3398192 × 108
Zeros21
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:58.499349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33800
Q1533000
median1403500
Q33426550
95-th percentile10999972
Maximum5.3398192 × 108
Range5.3398192 × 108
Interquartile range (IQR)2893550

Descriptive statistics

Standard deviation30436265
Coefficient of variation (CV)5.883292
Kurtosis216.35591
Mean5173339.2
Median Absolute Deviation (MAD)1059500
Skewness14.073419
Sum2.5866696 × 109
Variance9.2636621 × 1014
MonotonicityNot monotonic
2023-12-10T23:58:58.781252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
4.2%
584000 2
 
0.4%
658000 2
 
0.4%
839500 2
 
0.4%
300000 2
 
0.4%
3548000 1
 
0.2%
1401725 1
 
0.2%
528000 1
 
0.2%
1515150 1
 
0.2%
4262700 1
 
0.2%
Other values (466) 466
93.2%
ValueCountFrequency (%)
0 21
4.2%
12000 1
 
0.2%
26000 1
 
0.2%
29700 1
 
0.2%
30000 1
 
0.2%
34000 1
 
0.2%
36000 1
 
0.2%
39000 1
 
0.2%
70000 1
 
0.2%
73000 1
 
0.2%
ValueCountFrequency (%)
533981916 1
0.2%
325209020 1
0.2%
258436720 1
0.2%
56424450 1
0.2%
51884410 1
0.2%
45129864 1
0.2%
26195080 1
0.2%
23688000 1
0.2%
23365840 1
0.2%
21185190 1
0.2%

토요일매출금액합(CASH_W7)
Real number (ℝ)

ZEROS 

Distinct397
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2027594.4
Minimum0
Maximum32815083
Zeros93
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:59.039375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1117000
median811250
Q32017975
95-th percentile8008630.5
Maximum32815083
Range32815083
Interquartile range (IQR)1900975

Descriptive statistics

Standard deviation3932669.8
Coefficient of variation (CV)1.9395743
Kurtosis25.104129
Mean2027594.4
Median Absolute Deviation (MAD)792750
Skewness4.4592203
Sum1.0137972 × 109
Variance1.5465892 × 1013
MonotonicityNot monotonic
2023-12-10T23:58:59.313409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 93
 
18.6%
1255000 2
 
0.4%
185000 2
 
0.4%
734000 2
 
0.4%
100000 2
 
0.4%
60000 2
 
0.4%
1671000 2
 
0.4%
462000 2
 
0.4%
32000 2
 
0.4%
550000 2
 
0.4%
Other values (387) 389
77.8%
ValueCountFrequency (%)
0 93
18.6%
5000 1
 
0.2%
10000 1
 
0.2%
15000 1
 
0.2%
15400 1
 
0.2%
17000 1
 
0.2%
20000 1
 
0.2%
21000 1
 
0.2%
25000 1
 
0.2%
26000 1
 
0.2%
ValueCountFrequency (%)
32815083 1
0.2%
31641610 1
0.2%
29448230 1
0.2%
25541660 1
0.2%
23452460 1
0.2%
23432650 1
0.2%
20971050 1
0.2%
18496520 1
0.2%
14660820 1
0.2%
14169300 1
0.2%

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

ZEROS 

Distinct243
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean926896.48
Minimum0
Maximum20371284
Zeros251
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:58:59.678174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3843750
95-th percentile4641375
Maximum20371284
Range20371284
Interquartile range (IQR)843750

Descriptive statistics

Standard deviation2173852.7
Coefficient of variation (CV)2.3453026
Kurtosis26.518647
Mean926896.48
Median Absolute Deviation (MAD)0
Skewness4.4505752
Sum4.6344824 × 108
Variance4.7256357 × 1012
MonotonicityNot monotonic
2023-12-10T23:58:59.984180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 251
50.2%
17000 3
 
0.6%
492000 2
 
0.4%
29000 2
 
0.4%
23000 2
 
0.4%
837000 2
 
0.4%
35000 2
 
0.4%
7691900 1
 
0.2%
842000 1
 
0.2%
167000 1
 
0.2%
Other values (233) 233
46.6%
ValueCountFrequency (%)
0 251
50.2%
5000 1
 
0.2%
6000 1
 
0.2%
6400 1
 
0.2%
8600 1
 
0.2%
9300 1
 
0.2%
12000 1
 
0.2%
14300 1
 
0.2%
17000 3
 
0.6%
20000 1
 
0.2%
ValueCountFrequency (%)
20371284 1
0.2%
18741600 1
0.2%
11629700 1
0.2%
10997000 1
0.2%
10733300 1
0.2%
10459000 1
0.2%
10027700 1
0.2%
9426500 1
0.2%
9238900 1
0.2%
9162150 1
0.2%

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

ZEROS 

Distinct342
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2024187.6
Minimum0
Maximum1.6355026 × 108
Zeros127
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:00.389531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median150000
Q3975255
95-th percentile7035495
Maximum1.6355026 × 108
Range1.6355026 × 108
Interquartile range (IQR)975255

Descriptive statistics

Standard deviation10666525
Coefficient of variation (CV)5.2695338
Kurtosis165.08277
Mean2024187.6
Median Absolute Deviation (MAD)150000
Skewness12.125637
Sum1.0120938 × 109
Variance1.1377475 × 1014
MonotonicityNot monotonic
2023-12-10T23:59:00.721001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127
 
25.4%
81000 5
 
1.0%
155000 3
 
0.6%
30000 3
 
0.6%
14000 3
 
0.6%
38000 2
 
0.4%
8000 2
 
0.4%
40000 2
 
0.4%
150000 2
 
0.4%
11000 2
 
0.4%
Other values (332) 349
69.8%
ValueCountFrequency (%)
0 127
25.4%
5000 2
 
0.4%
6000 1
 
0.2%
7500 1
 
0.2%
8000 2
 
0.4%
8700 1
 
0.2%
10000 1
 
0.2%
11000 2
 
0.4%
11300 1
 
0.2%
12500 1
 
0.2%
ValueCountFrequency (%)
163550260 1
0.2%
140245350 1
0.2%
72112880 1
0.2%
33149990 1
0.2%
32343400 1
0.2%
27628040 1
0.2%
26644500 1
0.2%
23271980 1
0.2%
18469720 1
0.2%
15670460 1
0.2%

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

ZEROS 

Distinct444
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3876478
Minimum0
Maximum97707460
Zeros52
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:01.036485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1373500
median1600800
Q34431495.5
95-th percentile14600960
Maximum97707460
Range97707460
Interquartile range (IQR)4057995.5

Descriptive statistics

Standard deviation7909402.2
Coefficient of variation (CV)2.0403578
Kurtosis65.547383
Mean3876478
Median Absolute Deviation (MAD)1471215
Skewness6.860729
Sum1.938239 × 109
Variance6.2558643 × 1013
MonotonicityNot monotonic
2023-12-10T23:59:01.283197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
10.4%
162500 2
 
0.4%
90000 2
 
0.4%
981000 2
 
0.4%
2960000 2
 
0.4%
690000 2
 
0.4%
320000 1
 
0.2%
5953800 1
 
0.2%
273500 1
 
0.2%
1148500 1
 
0.2%
Other values (434) 434
86.8%
ValueCountFrequency (%)
0 52
10.4%
26000 1
 
0.2%
31800 1
 
0.2%
34000 1
 
0.2%
40000 1
 
0.2%
48000 1
 
0.2%
49000 1
 
0.2%
50000 1
 
0.2%
53000 1
 
0.2%
57000 1
 
0.2%
ValueCountFrequency (%)
97707460 1
0.2%
84378202 1
0.2%
56386350 1
0.2%
39712950 1
0.2%
35056300 1
0.2%
33626050 1
0.2%
27110850 1
0.2%
26622900 1
0.2%
26555000 1
0.2%
22930000 1
0.2%

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

ZEROS 

Distinct458
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6742029.7
Minimum0
Maximum1.108777 × 109
Zeros37
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:01.578586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1331000
median1316850
Q33457025
95-th percentile13263517
Maximum1.108777 × 109
Range1.108777 × 109
Interquartile range (IQR)3126025

Descriptive statistics

Standard deviation52191431
Coefficient of variation (CV)7.7412045
Kurtosis401.36766
Mean6742029.7
Median Absolute Deviation (MAD)1132850
Skewness19.265182
Sum3.3710148 × 109
Variance2.7239454 × 1015
MonotonicityNot monotonic
2023-12-10T23:59:01.789042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37
 
7.4%
680000 2
 
0.4%
696000 2
 
0.4%
287000 2
 
0.4%
473000 2
 
0.4%
257000 2
 
0.4%
369000 2
 
0.4%
2287700 1
 
0.2%
1463000 1
 
0.2%
3852700 1
 
0.2%
Other values (448) 448
89.6%
ValueCountFrequency (%)
0 37
7.4%
9000 1
 
0.2%
10000 1
 
0.2%
18000 1
 
0.2%
19800 1
 
0.2%
24000 1
 
0.2%
25000 1
 
0.2%
28000 1
 
0.2%
28500 1
 
0.2%
30500 1
 
0.2%
ValueCountFrequency (%)
1108776960 1
0.2%
226249710 1
0.2%
189946710 1
0.2%
178139470 1
0.2%
88641893 1
0.2%
68239935 1
0.2%
64030640 1
0.2%
46194660 1
0.2%
37739750 1
0.2%
34798460 1
0.2%

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

ZEROS 

Distinct487
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9387555.7
Minimum0
Maximum4.7154427 × 108
Zeros8
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:02.474070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile204750
Q11162175
median3055400
Q37683982.5
95-th percentile30526305
Maximum4.7154427 × 108
Range4.7154427 × 108
Interquartile range (IQR)6521807.5

Descriptive statistics

Standard deviation33314135
Coefficient of variation (CV)3.548755
Kurtosis128.96396
Mean9387555.7
Median Absolute Deviation (MAD)2340800
Skewness10.682222
Sum4.6937779 × 109
Variance1.1098316 × 1015
MonotonicityNot monotonic
2023-12-10T23:59:02.701081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
1.6%
306000 2
 
0.4%
410000 2
 
0.4%
609500 2
 
0.4%
487000 2
 
0.4%
33000 2
 
0.4%
990000 2
 
0.4%
3736400 1
 
0.2%
449900 1
 
0.2%
406490670 1
 
0.2%
Other values (477) 477
95.4%
ValueCountFrequency (%)
0 8
1.6%
30500 1
 
0.2%
33000 2
 
0.4%
35000 1
 
0.2%
52800 1
 
0.2%
60000 1
 
0.2%
80000 1
 
0.2%
83000 1
 
0.2%
91000 1
 
0.2%
106000 1
 
0.2%
ValueCountFrequency (%)
471544270 1
0.2%
406490670 1
0.2%
317188830 1
0.2%
157621542 1
0.2%
114420804 1
0.2%
88153570 1
0.2%
63360600 1
0.2%
62979306 1
0.2%
62380240 1
0.2%
53736380 1
0.2%

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

ZEROS 

Distinct405
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3713194.9
Minimum0
Maximum2.1161722 × 108
Zeros89
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:02.946972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1144750
median1193750
Q33716190
95-th percentile13671740
Maximum2.1161722 × 108
Range2.1161722 × 108
Interquartile range (IQR)3571440

Descriptive statistics

Standard deviation11246605
Coefficient of variation (CV)3.0288217
Kurtosis238.47663
Mean3713194.9
Median Absolute Deviation (MAD)1193750
Skewness13.635837
Sum1.8565974 × 109
Variance1.2648613 × 1014
MonotonicityNot monotonic
2023-12-10T23:59:03.183149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 89
 
17.8%
980000 2
 
0.4%
230000 2
 
0.4%
382000 2
 
0.4%
128000 2
 
0.4%
1110000 2
 
0.4%
380000 2
 
0.4%
150000 2
 
0.4%
428000 1
 
0.2%
36354625 1
 
0.2%
Other values (395) 395
79.0%
ValueCountFrequency (%)
0 89
17.8%
5500 1
 
0.2%
6000 1
 
0.2%
8000 1
 
0.2%
10000 1
 
0.2%
12000 1
 
0.2%
14700 1
 
0.2%
16000 1
 
0.2%
18000 1
 
0.2%
30000 1
 
0.2%
ValueCountFrequency (%)
211617220 1
0.2%
74747190 1
0.2%
54681000 1
0.2%
38722700 1
0.2%
36354625 1
0.2%
31504305 1
0.2%
25123860 1
0.2%
23454360 1
0.2%
20690300 1
0.2%
20331150 1
0.2%

법인매출건수합(COUNT_COMP)
Real number (ℝ)

ZEROS 

Distinct145
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.554
Minimum0
Maximum1307
Zeros56
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:03.510914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median18
Q356
95-th percentile202.2
Maximum1307
Range1307
Interquartile range (IQR)52

Descriptive statistics

Standard deviation108.86924
Coefficient of variation (CV)2.0328872
Kurtosis44.706483
Mean53.554
Median Absolute Deviation (MAD)17
Skewness5.5109837
Sum26777
Variance11852.512
MonotonicityNot monotonic
2023-12-10T23:59:03.823251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
11.2%
1 23
 
4.6%
3 21
 
4.2%
2 21
 
4.2%
6 17
 
3.4%
4 13
 
2.6%
5 12
 
2.4%
9 12
 
2.4%
8 11
 
2.2%
18 10
 
2.0%
Other values (135) 304
60.8%
ValueCountFrequency (%)
0 56
11.2%
1 23
4.6%
2 21
 
4.2%
3 21
 
4.2%
4 13
 
2.6%
5 12
 
2.4%
6 17
 
3.4%
7 8
 
1.6%
8 11
 
2.2%
9 12
 
2.4%
ValueCountFrequency (%)
1307 1
0.2%
724 1
0.2%
693 1
0.2%
664 1
0.2%
605 1
0.2%
561 1
0.2%
543 1
0.2%
454 1
0.2%
441 1
0.2%
385 1
0.2%

남성매출건수합(COUNT_MAN)
Real number (ℝ)

Distinct309
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean419.084
Minimum0
Maximum18446
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:04.126111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q142
median132.5
Q3377.5
95-th percentile1465.15
Maximum18446
Range18446
Interquartile range (IQR)335.5

Descriptive statistics

Standard deviation1206.713
Coefficient of variation (CV)2.8794061
Kurtosis122.51036
Mean419.084
Median Absolute Deviation (MAD)116
Skewness9.7630409
Sum209542
Variance1456156.3
MonotonicityNot monotonic
2023-12-10T23:59:04.436285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 9
 
1.8%
1 8
 
1.6%
8 7
 
1.4%
9 7
 
1.4%
3 6
 
1.2%
2 6
 
1.2%
4 6
 
1.2%
15 5
 
1.0%
12 5
 
1.0%
108 5
 
1.0%
Other values (299) 436
87.2%
ValueCountFrequency (%)
0 3
 
0.6%
1 8
1.6%
2 6
1.2%
3 6
1.2%
4 6
1.2%
5 5
1.0%
6 3
 
0.6%
7 1
 
0.2%
8 7
1.4%
9 7
1.4%
ValueCountFrequency (%)
18446 1
0.2%
12048 1
0.2%
9056 1
0.2%
5449 1
0.2%
5234 1
0.2%
4175 1
0.2%
3479 1
0.2%
3349 1
0.2%
2999 1
0.2%
2797 1
0.2%

여성매출건수합(COUNT_WOMAN)
Real number (ℝ)

Distinct311
Distinct (%)62.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean362.694
Minimum0
Maximum10251
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:04.747919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.95
Q131
median109
Q3322.5
95-th percentile1296.45
Maximum10251
Range10251
Interquartile range (IQR)291.5

Descriptive statistics

Standard deviation868.87434
Coefficient of variation (CV)2.3956127
Kurtosis55.827016
Mean362.694
Median Absolute Deviation (MAD)94
Skewness6.4820076
Sum181347
Variance754942.62
MonotonicityNot monotonic
2023-12-10T23:59:05.050503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 9
 
1.8%
8 8
 
1.6%
14 8
 
1.6%
15 8
 
1.6%
34 8
 
1.6%
17 6
 
1.2%
31 6
 
1.2%
9 6
 
1.2%
16 6
 
1.2%
10 6
 
1.2%
Other values (301) 429
85.8%
ValueCountFrequency (%)
0 3
 
0.6%
1 1
 
0.2%
2 4
0.8%
3 5
1.0%
4 5
1.0%
5 3
 
0.6%
6 4
0.8%
7 4
0.8%
8 8
1.6%
9 6
1.2%
ValueCountFrequency (%)
10251 1
0.2%
8676 1
0.2%
5058 1
0.2%
4644 1
0.2%
4640 1
0.2%
4517 1
0.2%
4241 1
0.2%
4131 1
0.2%
3416 1
0.2%
3344 1
0.2%

10대매출건수의합(COUNT_AGE10)
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.138
Minimum0
Maximum744
Zeros152
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:05.469595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311.25
95-th percentile105.9
Maximum744
Range744
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation65.132445
Coefficient of variation (CV)2.9421106
Kurtosis41.410812
Mean22.138
Median Absolute Deviation (MAD)2
Skewness5.609488
Sum11069
Variance4242.2354
MonotonicityNot monotonic
2023-12-10T23:59:05.905719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 152
30.4%
1 65
13.0%
2 34
 
6.8%
4 25
 
5.0%
5 17
 
3.4%
10 16
 
3.2%
3 16
 
3.2%
7 15
 
3.0%
6 10
 
2.0%
14 9
 
1.8%
Other values (73) 141
28.2%
ValueCountFrequency (%)
0 152
30.4%
1 65
13.0%
2 34
 
6.8%
3 16
 
3.2%
4 25
 
5.0%
5 17
 
3.4%
6 10
 
2.0%
7 15
 
3.0%
8 9
 
1.8%
9 9
 
1.8%
ValueCountFrequency (%)
744 1
0.2%
406 1
0.2%
403 1
0.2%
388 1
0.2%
379 1
0.2%
342 1
0.2%
297 1
0.2%
293 1
0.2%
286 1
0.2%
260 1
0.2%

20대매출건수의합(COUNT_AGE20)
Real number (ℝ)

ZEROS 

Distinct252
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.006
Minimum0
Maximum13972
Zeros45
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:06.280499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median60.5
Q3177.25
95-th percentile875.15
Maximum13972
Range13972
Interquartile range (IQR)169.25

Descriptive statistics

Standard deviation861.62338
Coefficient of variation (CV)3.516744
Kurtosis152.73882
Mean245.006
Median Absolute Deviation (MAD)58.5
Skewness10.981075
Sum122503
Variance742394.84
MonotonicityNot monotonic
2023-12-10T23:59:06.725205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
 
9.0%
1 27
 
5.4%
2 18
 
3.6%
8 13
 
2.6%
4 8
 
1.6%
7 7
 
1.4%
14 7
 
1.4%
6 7
 
1.4%
5 6
 
1.2%
80 5
 
1.0%
Other values (242) 357
71.4%
ValueCountFrequency (%)
0 45
9.0%
1 27
5.4%
2 18
 
3.6%
3 5
 
1.0%
4 8
 
1.6%
5 6
 
1.2%
6 7
 
1.4%
7 7
 
1.4%
8 13
 
2.6%
9 4
 
0.8%
ValueCountFrequency (%)
13972 1
0.2%
9144 1
0.2%
3911 1
0.2%
3269 1
0.2%
2985 1
0.2%
2878 1
0.2%
2802 1
0.2%
2729 1
0.2%
2639 1
0.2%
2407 1
0.2%

30대매출건수의합(COUNT_AGE30)
Real number (ℝ)

ZEROS 

Distinct224
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.358
Minimum0
Maximum3998
Zeros20
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:07.283837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median56
Q3149.5
95-th percentile537.9
Maximum3998
Range3998
Interquartile range (IQR)136.5

Descriptive statistics

Standard deviation285.11894
Coefficient of variation (CV)2.0028305
Kurtosis73.023538
Mean142.358
Median Absolute Deviation (MAD)50
Skewness6.8101949
Sum71179
Variance81292.811
MonotonicityNot monotonic
2023-12-10T23:59:07.652648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
4.0%
5 16
 
3.2%
10 13
 
2.6%
1 11
 
2.2%
2 10
 
2.0%
3 9
 
1.8%
13 8
 
1.6%
7 8
 
1.6%
11 8
 
1.6%
6 8
 
1.6%
Other values (214) 389
77.8%
ValueCountFrequency (%)
0 20
4.0%
1 11
2.2%
2 10
2.0%
3 9
1.8%
4 6
 
1.2%
5 16
3.2%
6 8
 
1.6%
7 8
 
1.6%
8 4
 
0.8%
9 3
 
0.6%
ValueCountFrequency (%)
3998 1
0.2%
1961 1
0.2%
1490 1
0.2%
1359 1
0.2%
1267 1
0.2%
1266 1
0.2%
1253 1
0.2%
1147 1
0.2%
1146 1
0.2%
1135 1
0.2%

40대매출건수의합(COUNT_AGE40)
Real number (ℝ)

ZEROS 

Distinct229
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.756
Minimum0
Maximum3033
Zeros9
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:08.011356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q118
median57.5
Q3157
95-th percentile489.05
Maximum3033
Range3033
Interquartile range (IQR)139

Descriptive statistics

Standard deviation236.49988
Coefficient of variation (CV)1.7949838
Kurtosis53.562697
Mean131.756
Median Absolute Deviation (MAD)48.5
Skewness5.8852694
Sum65878
Variance55932.193
MonotonicityNot monotonic
2023-12-10T23:59:08.286044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 12
 
2.4%
19 11
 
2.2%
3 11
 
2.2%
6 10
 
2.0%
15 9
 
1.8%
0 9
 
1.8%
12 9
 
1.8%
1 8
 
1.6%
60 7
 
1.4%
25 7
 
1.4%
Other values (219) 407
81.4%
ValueCountFrequency (%)
0 9
1.8%
1 8
1.6%
2 12
2.4%
3 11
2.2%
4 7
1.4%
5 4
 
0.8%
6 10
2.0%
7 6
1.2%
8 5
1.0%
9 3
 
0.6%
ValueCountFrequency (%)
3033 1
0.2%
1599 1
0.2%
1596 1
0.2%
1236 1
0.2%
1192 1
0.2%
1176 1
0.2%
1130 1
0.2%
1059 1
0.2%
856 1
0.2%
751 1
0.2%

50대매출건수의합(COUNT_AGE50)
Real number (ℝ)

ZEROS 

Distinct176
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.99
Minimum0
Maximum1776
Zeros22
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:08.574751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median33
Q387
95-th percentile259
Maximum1776
Range1776
Interquartile range (IQR)78

Descriptive statistics

Standard deviation143.70148
Coefficient of variation (CV)1.9162752
Kurtosis59.486777
Mean74.99
Median Absolute Deviation (MAD)28
Skewness6.4750074
Sum37495
Variance20650.114
MonotonicityNot monotonic
2023-12-10T23:59:08.924340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22
 
4.4%
5 15
 
3.0%
4 14
 
2.8%
1 13
 
2.6%
7 13
 
2.6%
8 13
 
2.6%
3 10
 
2.0%
2 10
 
2.0%
9 10
 
2.0%
11 9
 
1.8%
Other values (166) 371
74.2%
ValueCountFrequency (%)
0 22
4.4%
1 13
2.6%
2 10
2.0%
3 10
2.0%
4 14
2.8%
5 15
3.0%
6 7
 
1.4%
7 13
2.6%
8 13
2.6%
9 10
2.0%
ValueCountFrequency (%)
1776 1
0.2%
1440 1
0.2%
874 1
0.2%
824 1
0.2%
722 1
0.2%
663 1
0.2%
594 1
0.2%
568 1
0.2%
530 1
0.2%
418 1
0.2%

60대매출건수의합(COUNT_AGE60)
Real number (ℝ)

ZEROS 

Distinct122
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.82
Minimum0
Maximum10932
Zeros43
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:09.245667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.75
median12
Q340
95-th percentile169.4
Maximum10932
Range10932
Interquartile range (IQR)36.25

Descriptive statistics

Standard deviation707.7301
Coefficient of variation (CV)7.8794267
Kurtosis196.4485
Mean89.82
Median Absolute Deviation (MAD)11
Skewness13.778902
Sum44910
Variance500881.9
MonotonicityNot monotonic
2023-12-10T23:59:09.626282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
8.6%
1 30
 
6.0%
2 28
 
5.6%
3 24
 
4.8%
4 23
 
4.6%
7 20
 
4.0%
6 18
 
3.6%
9 13
 
2.6%
8 13
 
2.6%
13 12
 
2.4%
Other values (112) 276
55.2%
ValueCountFrequency (%)
0 43
8.6%
1 30
6.0%
2 28
5.6%
3 24
4.8%
4 23
4.6%
5 12
 
2.4%
6 18
3.6%
7 20
4.0%
8 13
 
2.6%
9 13
 
2.6%
ValueCountFrequency (%)
10932 1
0.2%
10111 1
0.2%
5355 1
0.2%
951 1
0.2%
571 1
0.2%
478 1
0.2%
390 1
0.2%
389 1
0.2%
383 1
0.2%
333 1
0.2%

일요일매출건수합(COUNT_W1)
Real number (ℝ)

ZEROS 

Distinct192
Distinct (%)38.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.548
Minimum0
Maximum6590
Zeros7
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:09.927903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median38
Q3119.25
95-th percentile331.5
Maximum6590
Range6590
Interquartile range (IQR)109.25

Descriptive statistics

Standard deviation315.31818
Coefficient of variation (CV)3.1674989
Kurtosis361.32965
Mean99.548
Median Absolute Deviation (MAD)32.5
Skewness17.6801
Sum49774
Variance99425.555
MonotonicityNot monotonic
2023-12-10T23:59:10.225249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 17
 
3.4%
9 15
 
3.0%
2 14
 
2.8%
4 14
 
2.8%
8 13
 
2.6%
1 12
 
2.4%
3 11
 
2.2%
13 10
 
2.0%
10 10
 
2.0%
11 9
 
1.8%
Other values (182) 375
75.0%
ValueCountFrequency (%)
0 7
1.4%
1 12
2.4%
2 14
2.8%
3 11
2.2%
4 14
2.8%
5 17
3.4%
6 7
1.4%
7 8
1.6%
8 13
2.6%
9 15
3.0%
ValueCountFrequency (%)
6590 1
0.2%
878 1
0.2%
810 1
0.2%
662 1
0.2%
640 1
0.2%
591 1
0.2%
566 1
0.2%
539 1
0.2%
520 1
0.2%
456 1
0.2%

월요일매출건수합(COUNT_W2)
Real number (ℝ)

ZEROS 

Distinct208
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.354
Minimum0
Maximum6427
Zeros6
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:10.510728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median42.5
Q3110.25
95-th percentile444.05
Maximum6427
Range6427
Interquartile range (IQR)98.25

Descriptive statistics

Standard deviation352.31063
Coefficient of variation (CV)2.9518125
Kurtosis211.74694
Mean119.354
Median Absolute Deviation (MAD)34.5
Skewness12.770172
Sum59677
Variance124122.78
MonotonicityNot monotonic
2023-12-10T23:59:11.243311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
2.6%
1 13
 
2.6%
6 12
 
2.4%
2 11
 
2.2%
11 11
 
2.2%
5 10
 
2.0%
9 10
 
2.0%
8 10
 
2.0%
16 9
 
1.8%
10 9
 
1.8%
Other values (198) 392
78.4%
ValueCountFrequency (%)
0 6
1.2%
1 13
2.6%
2 11
2.2%
3 13
2.6%
4 8
1.6%
5 10
2.0%
6 12
2.4%
7 6
1.2%
8 10
2.0%
9 10
2.0%
ValueCountFrequency (%)
6427 1
0.2%
2308 1
0.2%
2129 1
0.2%
1656 1
0.2%
1283 1
0.2%
847 1
0.2%
825 1
0.2%
813 1
0.2%
767 1
0.2%
678 1
0.2%

화요일매출건수합(COUNT_W3)
Real number (ℝ)

ZEROS 

Distinct209
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.128
Minimum0
Maximum17418
Zeros12
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:11.500681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median44
Q3122.25
95-th percentile485.75
Maximum17418
Range17418
Interquartile range (IQR)111.25

Descriptive statistics

Standard deviation937.52199
Coefficient of variation (CV)5.510686
Kurtosis264.9773
Mean170.128
Median Absolute Deviation (MAD)38
Skewness15.643945
Sum85064
Variance878947.49
MonotonicityNot monotonic
2023-12-10T23:59:11.797025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 20
 
4.0%
5 16
 
3.2%
0 12
 
2.4%
9 12
 
2.4%
3 12
 
2.4%
11 12
 
2.4%
6 10
 
2.0%
24 9
 
1.8%
1 8
 
1.6%
12 8
 
1.6%
Other values (199) 381
76.2%
ValueCountFrequency (%)
0 12
2.4%
1 8
 
1.6%
2 8
 
1.6%
3 12
2.4%
4 20
4.0%
5 16
3.2%
6 10
2.0%
7 8
 
1.6%
8 4
 
0.8%
9 12
2.4%
ValueCountFrequency (%)
17418 1
0.2%
10958 1
0.2%
2294 1
0.2%
1758 1
0.2%
1484 1
0.2%
1291 1
0.2%
1086 1
0.2%
1080 1
0.2%
966 1
0.2%
788 1
0.2%

수요일매출건수합(COUNT_W4)
Real number (ℝ)

ZEROS 

Distinct191
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.41
Minimum0
Maximum24372
Zeros6
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:12.140387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median34.5
Q3100.5
95-th percentile372.7
Maximum24372
Range24372
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation1201.2258
Coefficient of variation (CV)7.262111
Kurtosis343.67856
Mean165.41
Median Absolute Deviation (MAD)29.5
Skewness17.861268
Sum82705
Variance1442943.4
MonotonicityNot monotonic
2023-12-10T23:59:12.496869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 23
 
4.6%
2 18
 
3.6%
1 15
 
3.0%
5 14
 
2.8%
4 12
 
2.4%
9 11
 
2.2%
17 10
 
2.0%
7 10
 
2.0%
34 9
 
1.8%
29 8
 
1.6%
Other values (181) 370
74.0%
ValueCountFrequency (%)
0 6
 
1.2%
1 15
3.0%
2 18
3.6%
3 23
4.6%
4 12
2.4%
5 14
2.8%
6 7
 
1.4%
7 10
2.0%
8 8
 
1.6%
9 11
2.2%
ValueCountFrequency (%)
24372 1
0.2%
10743 1
0.2%
2046 1
0.2%
1944 1
0.2%
1772 1
0.2%
1360 1
0.2%
1123 1
0.2%
765 1
0.2%
685 1
0.2%
644 1
0.2%

목요일매출건수합(COUNT_W5)
Real number (ℝ)

ZEROS 

Distinct195
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.72
Minimum0
Maximum5258
Zeros8
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:12.831467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q115.75
median42.5
Q3103.25
95-th percentile331.8
Maximum5258
Range5258
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation270.12585
Coefficient of variation (CV)2.6819484
Kurtosis268.38364
Mean100.72
Median Absolute Deviation (MAD)32.5
Skewness14.542729
Sum50360
Variance72967.974
MonotonicityNot monotonic
2023-12-10T23:59:13.200736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 15
 
3.0%
1 11
 
2.2%
14 10
 
2.0%
10 10
 
2.0%
3 9
 
1.8%
4 9
 
1.8%
9 8
 
1.6%
29 8
 
1.6%
16 8
 
1.6%
0 8
 
1.6%
Other values (185) 404
80.8%
ValueCountFrequency (%)
0 8
1.6%
1 11
2.2%
2 15
3.0%
3 9
1.8%
4 9
1.8%
5 4
 
0.8%
6 7
1.4%
7 6
 
1.2%
8 5
 
1.0%
9 8
1.6%
ValueCountFrequency (%)
5258 1
0.2%
1390 1
0.2%
1111 1
0.2%
799 1
0.2%
777 1
0.2%
730 1
0.2%
707 1
0.2%
687 1
0.2%
680 1
0.2%
532 1
0.2%

금요일매출건수합(COUNT_W6)
Real number (ℝ)

ZEROS 

Distinct200
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.454
Minimum0
Maximum3237
Zeros13
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:13.524364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.95
Q114
median42
Q3114.25
95-th percentile409.3
Maximum3237
Range3237
Interquartile range (IQR)100.25

Descriptive statistics

Standard deviation214.0435
Coefficient of variation (CV)2.0491652
Kurtosis95.821559
Mean104.454
Median Absolute Deviation (MAD)34
Skewness7.7894383
Sum52227
Variance45814.621
MonotonicityNot monotonic
2023-12-10T23:59:13.826180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 13
 
2.6%
0 13
 
2.6%
13 12
 
2.4%
2 12
 
2.4%
1 12
 
2.4%
7 11
 
2.2%
6 11
 
2.2%
3 10
 
2.0%
4 10
 
2.0%
23 9
 
1.8%
Other values (190) 387
77.4%
ValueCountFrequency (%)
0 13
2.6%
1 12
2.4%
2 12
2.4%
3 10
2.0%
4 10
2.0%
5 8
1.6%
6 11
2.2%
7 11
2.2%
8 5
 
1.0%
9 7
1.4%
ValueCountFrequency (%)
3237 1
0.2%
1161 1
0.2%
1057 1
0.2%
1045 1
0.2%
1029 1
0.2%
936 1
0.2%
901 1
0.2%
889 1
0.2%
806 1
0.2%
757 1
0.2%

토요일매출건수합(COUNT_W7)
Real number (ℝ)

ZEROS 

Distinct174
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.188
Minimum0
Maximum3482
Zeros92
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:14.111198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median22
Q379.25
95-th percentile344.65
Maximum3482
Range3482
Interquartile range (IQR)77.25

Descriptive statistics

Standard deviation234.44482
Coefficient of variation (CV)2.6584662
Kurtosis98.532245
Mean88.188
Median Absolute Deviation (MAD)22
Skewness8.3417092
Sum44094
Variance54964.373
MonotonicityNot monotonic
2023-12-10T23:59:14.426312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92
 
18.4%
1 25
 
5.0%
2 15
 
3.0%
4 13
 
2.6%
3 11
 
2.2%
12 9
 
1.8%
11 9
 
1.8%
18 8
 
1.6%
5 8
 
1.6%
32 7
 
1.4%
Other values (164) 303
60.6%
ValueCountFrequency (%)
0 92
18.4%
1 25
 
5.0%
2 15
 
3.0%
3 11
 
2.2%
4 13
 
2.6%
5 8
 
1.6%
6 5
 
1.0%
7 7
 
1.4%
8 7
 
1.4%
9 3
 
0.6%
ValueCountFrequency (%)
3482 1
0.2%
1668 1
0.2%
1651 1
0.2%
1440 1
0.2%
1015 1
0.2%
951 1
0.2%
903 1
0.2%
887 1
0.2%
828 1
0.2%
708 1
0.2%

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

ZEROS 

Distinct99
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.02
Minimum0
Maximum1083
Zeros258
Zeros (%)51.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:14.765144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319
95-th percentile141.4
Maximum1083
Range1083
Interquartile range (IQR)19

Descriptive statistics

Standard deviation81.406176
Coefficient of variation (CV)2.9052882
Kurtosis73.180532
Mean28.02
Median Absolute Deviation (MAD)0
Skewness7.1315927
Sum14010
Variance6626.9655
MonotonicityNot monotonic
2023-12-10T23:59:15.064612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 258
51.6%
1 26
 
5.2%
2 14
 
2.8%
6 11
 
2.2%
8 8
 
1.6%
12 7
 
1.4%
19 7
 
1.4%
3 6
 
1.2%
10 5
 
1.0%
11 5
 
1.0%
Other values (89) 153
30.6%
ValueCountFrequency (%)
0 258
51.6%
1 26
 
5.2%
2 14
 
2.8%
3 6
 
1.2%
4 3
 
0.6%
5 4
 
0.8%
6 11
 
2.2%
7 5
 
1.0%
8 8
 
1.6%
9 2
 
0.4%
ValueCountFrequency (%)
1083 1
0.2%
787 1
0.2%
373 1
0.2%
351 1
0.2%
328 1
0.2%
313 2
0.4%
291 2
0.4%
283 1
0.2%
265 1
0.2%
236 1
0.2%

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

ZEROS 

Distinct129
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.774
Minimum0
Maximum5668
Zeros127
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:15.345018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q333
95-th percentile302.75
Maximum5668
Range5668
Interquartile range (IQR)33

Descriptive statistics

Standard deviation321.55423
Coefficient of variation (CV)4.6085107
Kurtosis198.34793
Mean69.774
Median Absolute Deviation (MAD)4
Skewness12.704945
Sum34887
Variance103397.12
MonotonicityNot monotonic
2023-12-10T23:59:15.613693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127
25.4%
1 48
 
9.6%
2 35
 
7.0%
3 23
 
4.6%
4 21
 
4.2%
5 15
 
3.0%
6 13
 
2.6%
10 11
 
2.2%
9 9
 
1.8%
7 8
 
1.6%
Other values (119) 190
38.0%
ValueCountFrequency (%)
0 127
25.4%
1 48
 
9.6%
2 35
 
7.0%
3 23
 
4.6%
4 21
 
4.2%
5 15
 
3.0%
6 13
 
2.6%
7 8
 
1.6%
8 8
 
1.6%
9 9
 
1.8%
ValueCountFrequency (%)
5668 1
0.2%
2643 1
0.2%
2451 1
0.2%
1184 1
0.2%
947 1
0.2%
770 1
0.2%
750 1
0.2%
702 1
0.2%
644 1
0.2%
576 1
0.2%

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

ZEROS 

Distinct258
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.03
Minimum0
Maximum4218
Zeros34
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:15.902172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median65
Q3206.25
95-th percentile790.65
Maximum4218
Range4218
Interquartile range (IQR)194.25

Descriptive statistics

Standard deviation398.85027
Coefficient of variation (CV)2.0243124
Kurtosis34.49275
Mean197.03
Median Absolute Deviation (MAD)60
Skewness5.0227864
Sum98515
Variance159081.54
MonotonicityNot monotonic
2023-12-10T23:59:16.159553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
6.8%
9 12
 
2.4%
4 10
 
2.0%
5 9
 
1.8%
7 9
 
1.8%
13 8
 
1.6%
10 8
 
1.6%
2 8
 
1.6%
3 7
 
1.4%
8 7
 
1.4%
Other values (248) 388
77.6%
ValueCountFrequency (%)
0 34
6.8%
1 5
 
1.0%
2 8
 
1.6%
3 7
 
1.4%
4 10
 
2.0%
5 9
 
1.8%
6 7
 
1.4%
7 9
 
1.8%
8 7
 
1.4%
9 12
 
2.4%
ValueCountFrequency (%)
4218 1
0.2%
3254 1
0.2%
2610 1
0.2%
2357 1
0.2%
2212 1
0.2%
2103 1
0.2%
1862 1
0.2%
1830 1
0.2%
1732 1
0.2%
1548 1
0.2%

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

ZEROS 

Distinct202
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.716
Minimum0
Maximum15402
Zeros23
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:16.449028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median39
Q3108
95-th percentile445.1
Maximum15402
Range15402
Interquartile range (IQR)98

Descriptive statistics

Standard deviation911.17766
Coefficient of variation (CV)5.4654482
Kurtosis211.79168
Mean166.716
Median Absolute Deviation (MAD)33
Skewness13.950367
Sum83358
Variance830244.73
MonotonicityNot monotonic
2023-12-10T23:59:16.745064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
4.6%
4 14
 
2.8%
2 14
 
2.8%
6 12
 
2.4%
11 11
 
2.2%
1 11
 
2.2%
7 11
 
2.2%
3 10
 
2.0%
25 9
 
1.8%
14 9
 
1.8%
Other values (192) 376
75.2%
ValueCountFrequency (%)
0 23
4.6%
1 11
2.2%
2 14
2.8%
3 10
2.0%
4 14
2.8%
5 8
 
1.6%
6 12
2.4%
7 11
2.2%
8 8
 
1.6%
9 7
 
1.4%
ValueCountFrequency (%)
15402 1
0.2%
11873 1
0.2%
3935 1
0.2%
3476 1
0.2%
2200 1
0.2%
1731 1
0.2%
1314 1
0.2%
914 1
0.2%
797 1
0.2%
768 1
0.2%

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

ZEROS 

Distinct280
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253.206
Minimum0
Maximum4957
Zeros6
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:17.061309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q120.75
median79
Q3251.5
95-th percentile1117.9
Maximum4957
Range4957
Interquartile range (IQR)230.75

Descriptive statistics

Standard deviation510.96003
Coefficient of variation (CV)2.0179618
Kurtosis29.62508
Mean253.206
Median Absolute Deviation (MAD)70
Skewness4.7139238
Sum126603
Variance261080.15
MonotonicityNot monotonic
2023-12-10T23:59:17.348724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 12
 
2.4%
1 11
 
2.2%
7 10
 
2.0%
4 9
 
1.8%
12 8
 
1.6%
14 7
 
1.4%
3 6
 
1.2%
5 6
 
1.2%
6 6
 
1.2%
0 6
 
1.2%
Other values (270) 419
83.8%
ValueCountFrequency (%)
0 6
1.2%
1 11
2.2%
2 12
2.4%
3 6
1.2%
4 9
1.8%
5 6
1.2%
6 6
1.2%
7 10
2.0%
8 5
1.0%
9 4
 
0.8%
ValueCountFrequency (%)
4957 1
0.2%
4001 1
0.2%
3961 1
0.2%
3341 1
0.2%
2587 1
0.2%
2550 1
0.2%
2035 1
0.2%
1982 1
0.2%
1867 1
0.2%
1786 1
0.2%

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

ZEROS 

Distinct191
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.738
Minimum0
Maximum5702
Zeros85
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:17.583251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median29
Q3104.25
95-th percentile424.95
Maximum5702
Range5702
Interquartile range (IQR)102.25

Descriptive statistics

Standard deviation381.44907
Coefficient of variation (CV)3.1593125
Kurtosis117.03651
Mean120.738
Median Absolute Deviation (MAD)29
Skewness9.6438753
Sum60369
Variance145503.4
MonotonicityNot monotonic
2023-12-10T23:59:17.839733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
 
17.0%
1 29
 
5.8%
2 13
 
2.6%
7 11
 
2.2%
3 11
 
2.2%
5 8
 
1.6%
4 7
 
1.4%
8 7
 
1.4%
21 6
 
1.2%
19 6
 
1.2%
Other values (181) 317
63.4%
ValueCountFrequency (%)
0 85
17.0%
1 29
 
5.8%
2 13
 
2.6%
3 11
 
2.2%
4 7
 
1.4%
5 8
 
1.6%
6 6
 
1.2%
7 11
 
2.2%
8 7
 
1.4%
9 6
 
1.2%
ValueCountFrequency (%)
5702 1
0.2%
3813 1
0.2%
2901 1
0.2%
2479 1
0.2%
1215 1
0.2%
1155 1
0.2%
1104 1
0.2%
923 1
0.2%
847 1
0.2%
846 1
0.2%

10대재방문매출건수의합(REVISIT_COUNT10)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.218
Minimum0
Maximum664
Zeros414
Zeros (%)82.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:18.188766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum664
Range664
Interquartile range (IQR)0

Descriptive statistics

Standard deviation40.706714
Coefficient of variation (CV)9.6507145
Kurtosis200.66859
Mean4.218
Median Absolute Deviation (MAD)0
Skewness13.829546
Sum2109
Variance1657.0365
MonotonicityNot monotonic
2023-12-10T23:59:18.436197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 414
82.8%
2 35
 
7.0%
4 15
 
3.0%
6 9
 
1.8%
8 4
 
0.8%
7 2
 
0.4%
3 2
 
0.4%
10 2
 
0.4%
18 2
 
0.4%
19 2
 
0.4%
Other values (13) 13
 
2.6%
ValueCountFrequency (%)
0 414
82.8%
2 35
 
7.0%
3 2
 
0.4%
4 15
 
3.0%
5 1
 
0.2%
6 9
 
1.8%
7 2
 
0.4%
8 4
 
0.8%
9 1
 
0.2%
10 2
 
0.4%
ValueCountFrequency (%)
664 1
0.2%
531 1
0.2%
314 1
0.2%
70 1
0.2%
63 1
0.2%
30 1
0.2%
22 1
0.2%
21 1
0.2%
20 1
0.2%
19 2
0.4%

20대재방문매출건수의합(REVISIT_COUNT20)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.536
Minimum0
Maximum965
Zeros227
Zeros (%)45.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:18.730564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile68.2
Maximum965
Range965
Interquartile range (IQR)8

Descriptive statistics

Standard deviation69.125113
Coefficient of variation (CV)3.9418974
Kurtosis98.273334
Mean17.536
Median Absolute Deviation (MAD)2
Skewness8.8782994
Sum8768
Variance4778.2813
MonotonicityNot monotonic
2023-12-10T23:59:19.003491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 227
45.4%
2 80
 
16.0%
4 27
 
5.4%
6 23
 
4.6%
8 16
 
3.2%
10 11
 
2.2%
14 11
 
2.2%
7 5
 
1.0%
12 5
 
1.0%
11 4
 
0.8%
Other values (60) 91
18.2%
ValueCountFrequency (%)
0 227
45.4%
2 80
 
16.0%
3 1
 
0.2%
4 27
 
5.4%
5 2
 
0.4%
6 23
 
4.6%
7 5
 
1.0%
8 16
 
3.2%
9 3
 
0.6%
10 11
 
2.2%
ValueCountFrequency (%)
965 1
0.2%
719 1
0.2%
478 1
0.2%
376 1
0.2%
353 1
0.2%
301 1
0.2%
282 1
0.2%
243 1
0.2%
208 1
0.2%
192 1
0.2%

30대재방문매출건수의합(REVISIT_COUNT30)
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.734
Minimum0
Maximum13774
Zeros173
Zeros (%)34.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:19.764373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q312
95-th percentile77.1
Maximum13774
Range13774
Interquartile range (IQR)12

Descriptive statistics

Standard deviation735.80669
Coefficient of variation (CV)11.918986
Kurtosis286.01158
Mean61.734
Median Absolute Deviation (MAD)4
Skewness16.643628
Sum30867
Variance541411.48
MonotonicityNot monotonic
2023-12-10T23:59:20.037548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 173
34.6%
2 68
 
13.6%
4 46
 
9.2%
6 27
 
5.4%
8 19
 
3.8%
7 12
 
2.4%
9 8
 
1.6%
3 8
 
1.6%
12 8
 
1.6%
18 7
 
1.4%
Other values (69) 124
24.8%
ValueCountFrequency (%)
0 173
34.6%
2 68
 
13.6%
3 8
 
1.6%
4 46
 
9.2%
5 4
 
0.8%
6 27
 
5.4%
7 12
 
2.4%
8 19
 
3.8%
9 8
 
1.6%
10 6
 
1.2%
ValueCountFrequency (%)
13774 1
0.2%
9012 1
0.2%
465 1
0.2%
439 1
0.2%
350 1
0.2%
240 1
0.2%
232 1
0.2%
221 1
0.2%
203 1
0.2%
184 1
0.2%

40대재방문매출건수의합(REVISIT_COUNT40)
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.186
Minimum0
Maximum568
Zeros177
Zeros (%)35.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:20.326933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile52.2
Maximum568
Range568
Interquartile range (IQR)11

Descriptive statistics

Standard deviation45.563576
Coefficient of variation (CV)3.2118692
Kurtosis79.201163
Mean14.186
Median Absolute Deviation (MAD)2
Skewness8.0613698
Sum7093
Variance2076.0395
MonotonicityNot monotonic
2023-12-10T23:59:20.599668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177
35.4%
2 83
16.6%
4 41
 
8.2%
8 17
 
3.4%
12 16
 
3.2%
6 16
 
3.2%
10 16
 
3.2%
5 9
 
1.8%
16 8
 
1.6%
13 8
 
1.6%
Other values (59) 109
21.8%
ValueCountFrequency (%)
0 177
35.4%
2 83
16.6%
3 3
 
0.6%
4 41
 
8.2%
5 9
 
1.8%
6 16
 
3.2%
7 5
 
1.0%
8 17
 
3.4%
9 6
 
1.2%
10 16
 
3.2%
ValueCountFrequency (%)
568 1
0.2%
484 1
0.2%
398 1
0.2%
280 1
0.2%
255 1
0.2%
162 1
0.2%
139 1
0.2%
138 1
0.2%
134 1
0.2%
130 1
0.2%

50대재방문매출건수의합(REVISIT_COUNT50)
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.454
Minimum0
Maximum6587
Zeros199
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:20.867634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile33.05
Maximum6587
Range6587
Interquartile range (IQR)8

Descriptive statistics

Standard deviation317.99042
Coefficient of variation (CV)12.020504
Kurtosis374.23136
Mean26.454
Median Absolute Deviation (MAD)2
Skewness18.834217
Sum13227
Variance101117.91
MonotonicityNot monotonic
2023-12-10T23:59:21.146697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 199
39.8%
2 94
18.8%
4 42
 
8.4%
6 22
 
4.4%
8 22
 
4.4%
3 9
 
1.8%
9 8
 
1.6%
12 7
 
1.4%
14 6
 
1.2%
11 6
 
1.2%
Other values (44) 85
17.0%
ValueCountFrequency (%)
0 199
39.8%
2 94
18.8%
3 9
 
1.8%
4 42
 
8.4%
5 3
 
0.6%
6 22
 
4.4%
7 5
 
1.0%
8 22
 
4.4%
9 8
 
1.6%
10 6
 
1.2%
ValueCountFrequency (%)
6587 1
0.2%
2676 1
0.2%
220 2
0.4%
215 1
0.2%
118 1
0.2%
105 1
0.2%
103 1
0.2%
94 1
0.2%
61 2
0.4%
59 2
0.4%

60대재방문매출건수의합(REVISIT_COUNT60)
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.898
Minimum0
Maximum3517
Zeros300
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:21.419448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile20.1
Maximum3517
Range3517
Interquartile range (IQR)2

Descriptive statistics

Standard deviation188.77154
Coefficient of variation (CV)11.171235
Kurtosis274.92206
Mean16.898
Median Absolute Deviation (MAD)0
Skewness16.142177
Sum8449
Variance35634.693
MonotonicityNot monotonic
2023-12-10T23:59:21.723769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 300
60.0%
2 80
 
16.0%
4 23
 
4.6%
6 16
 
3.2%
10 9
 
1.8%
8 8
 
1.6%
5 7
 
1.4%
17 5
 
1.0%
7 5
 
1.0%
3 5
 
1.0%
Other values (30) 42
 
8.4%
ValueCountFrequency (%)
0 300
60.0%
2 80
 
16.0%
3 5
 
1.0%
4 23
 
4.6%
5 7
 
1.4%
6 16
 
3.2%
7 5
 
1.0%
8 8
 
1.6%
9 1
 
0.2%
10 9
 
1.8%
ValueCountFrequency (%)
3517 1
0.2%
2223 1
0.2%
719 1
0.2%
179 1
0.2%
153 1
0.2%
99 1
0.2%
62 1
0.2%
52 1
0.2%
41 1
0.2%
40 1
0.2%

가맹점영업개월수의합(BUSIN_SUM_MUN)
Real number (ℝ)

Distinct326
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean305.952
Minimum17
Maximum4470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:22.107979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile59.95
Q1126.75
median212.5
Q3348.25
95-th percentile802.35
Maximum4470
Range4453
Interquartile range (IQR)221.5

Descriptive statistics

Standard deviation362.0272
Coefficient of variation (CV)1.183281
Kurtosis44.637533
Mean305.952
Median Absolute Deviation (MAD)104.5
Skewness5.3772012
Sum152976
Variance131063.69
MonotonicityNot monotonic
2023-12-10T23:59:22.395885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94 5
 
1.0%
83 4
 
0.8%
116 4
 
0.8%
179 4
 
0.8%
141 4
 
0.8%
213 4
 
0.8%
372 4
 
0.8%
133 4
 
0.8%
233 4
 
0.8%
172 4
 
0.8%
Other values (316) 459
91.8%
ValueCountFrequency (%)
17 1
0.2%
26 1
0.2%
27 1
0.2%
28 1
0.2%
33 1
0.2%
34 1
0.2%
36 1
0.2%
39 1
0.2%
43 2
0.4%
46 1
0.2%
ValueCountFrequency (%)
4470 1
0.2%
2845 1
0.2%
2497 1
0.2%
2186 1
0.2%
1762 2
0.4%
1577 1
0.2%
1538 1
0.2%
1525 1
0.2%
1491 1
0.2%
1420 1
0.2%

영업개월수별가맹점수당월개업(COUNT_OPEN_MUN)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
463 
1
 
34
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 463
92.6%
1 34
 
6.8%
2 3
 
0.6%

Length

2023-12-10T23:59:22.719044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:22.922785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 463
92.6%
1 34
 
6.8%
2 3
 
0.6%

영업개월수별가맹점수6개월미만(COUNT_06_MUN)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.394
Minimum0
Maximum7
Zeros358
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:23.087589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.79247715
Coefficient of variation (CV)2.0113633
Kurtosis17.774147
Mean0.394
Median Absolute Deviation (MAD)0
Skewness3.3959373
Sum197
Variance0.62802004
MonotonicityNot monotonic
2023-12-10T23:59:23.319985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 358
71.6%
1 109
 
21.8%
2 21
 
4.2%
3 8
 
1.6%
7 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
4 1
 
0.2%
ValueCountFrequency (%)
0 358
71.6%
1 109
 
21.8%
2 21
 
4.2%
3 8
 
1.6%
4 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
7 1
 
0.2%
ValueCountFrequency (%)
7 1
 
0.2%
6 1
 
0.2%
5 1
 
0.2%
4 1
 
0.2%
3 8
 
1.6%
2 21
 
4.2%
1 109
 
21.8%
0 358
71.6%

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

ZEROS 

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.526
Minimum0
Maximum6
Zeros316
Zeros (%)63.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:23.543588image/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 deviation0.85485997
Coefficient of variation (CV)1.6252091
Kurtosis6.6669952
Mean0.526
Median Absolute Deviation (MAD)0
Skewness2.2184354
Sum263
Variance0.73078557
MonotonicityNot monotonic
2023-12-10T23:59:23.777068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 316
63.2%
1 133
26.6%
2 32
 
6.4%
3 13
 
2.6%
4 4
 
0.8%
6 1
 
0.2%
5 1
 
0.2%
ValueCountFrequency (%)
0 316
63.2%
1 133
26.6%
2 32
 
6.4%
3 13
 
2.6%
4 4
 
0.8%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
5 1
 
0.2%
4 4
 
0.8%
3 13
 
2.6%
2 32
 
6.4%
1 133
26.6%
0 316
63.2%

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

ZEROS 

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.766
Minimum0
Maximum8
Zeros243
Zeros (%)48.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:24.082357image/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 deviation0.96804867
Coefficient of variation (CV)1.2637711
Kurtosis7.0251447
Mean0.766
Median Absolute Deviation (MAD)1
Skewness1.9067067
Sum383
Variance0.93711824
MonotonicityNot monotonic
2023-12-10T23:59:24.398839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 243
48.6%
1 171
34.2%
2 58
 
11.6%
3 21
 
4.2%
4 5
 
1.0%
5 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
0 243
48.6%
1 171
34.2%
2 58
 
11.6%
3 21
 
4.2%
4 5
 
1.0%
5 1
 
0.2%
8 1
 
0.2%
ValueCountFrequency (%)
8 1
 
0.2%
5 1
 
0.2%
4 5
 
1.0%
3 21
 
4.2%
2 58
 
11.6%
1 171
34.2%
0 243
48.6%

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

ZEROS 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58
Minimum0
Maximum5
Zeros295
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:24.638970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.86086129
Coefficient of variation (CV)1.4842436
Kurtosis5.1571464
Mean0.58
Median Absolute Deviation (MAD)0
Skewness1.9648212
Sum290
Variance0.74108216
MonotonicityNot monotonic
2023-12-10T23:59:24.845365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 295
59.0%
1 146
29.2%
2 43
 
8.6%
3 9
 
1.8%
4 4
 
0.8%
5 3
 
0.6%
ValueCountFrequency (%)
0 295
59.0%
1 146
29.2%
2 43
 
8.6%
3 9
 
1.8%
4 4
 
0.8%
5 3
 
0.6%
ValueCountFrequency (%)
5 3
 
0.6%
4 4
 
0.8%
3 9
 
1.8%
2 43
 
8.6%
1 146
29.2%
0 295
59.0%

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

ZEROS 

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.574
Minimum0
Maximum6
Zeros305
Zeros (%)61.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:25.065512image/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 deviation0.93930218
Coefficient of variation (CV)1.6364149
Kurtosis8.7361766
Mean0.574
Median Absolute Deviation (MAD)0
Skewness2.5305837
Sum287
Variance0.88228858
MonotonicityNot monotonic
2023-12-10T23:59:25.265201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 305
61.0%
1 141
28.2%
2 35
 
7.0%
4 8
 
1.6%
3 7
 
1.4%
6 3
 
0.6%
5 1
 
0.2%
ValueCountFrequency (%)
0 305
61.0%
1 141
28.2%
2 35
 
7.0%
3 7
 
1.4%
4 8
 
1.6%
5 1
 
0.2%
6 3
 
0.6%
ValueCountFrequency (%)
6 3
 
0.6%
5 1
 
0.2%
4 8
 
1.6%
3 7
 
1.4%
2 35
 
7.0%
1 141
28.2%
0 305
61.0%

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

ZEROS 

Distinct7
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.452
Minimum0
Maximum11
Zeros335
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:25.497335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.89738877
Coefficient of variation (CV)1.9853734
Kurtosis45.442912
Mean0.452
Median Absolute Deviation (MAD)0
Skewness5.0809203
Sum226
Variance0.80530661
MonotonicityNot monotonic
2023-12-10T23:59:25.706619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 335
67.0%
1 130
 
26.0%
2 25
 
5.0%
3 6
 
1.2%
5 2
 
0.4%
11 1
 
0.2%
7 1
 
0.2%
ValueCountFrequency (%)
0 335
67.0%
1 130
 
26.0%
2 25
 
5.0%
3 6
 
1.2%
5 2
 
0.4%
7 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
11 1
 
0.2%
7 1
 
0.2%
5 2
 
0.4%
3 6
 
1.2%
2 25
 
5.0%
1 130
 
26.0%
0 335
67.0%

영업개월수별가맹점수5년이상(COUNT_05_YEAR_OVER)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.94
Minimum0
Maximum22
Zeros114
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:59:25.904496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q33
95-th percentile5
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2809659
Coefficient of variation (CV)1.1757556
Kurtosis24.611541
Mean1.94
Median Absolute Deviation (MAD)1
Skewness3.8329645
Sum970
Variance5.2028056
MonotonicityNot monotonic
2023-12-10T23:59:26.122119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1 138
27.6%
2 115
23.0%
0 114
22.8%
3 65
13.0%
4 35
 
7.0%
5 11
 
2.2%
7 5
 
1.0%
9 4
 
0.8%
6 4
 
0.8%
8 3
 
0.6%
Other values (6) 6
 
1.2%
ValueCountFrequency (%)
0 114
22.8%
1 138
27.6%
2 115
23.0%
3 65
13.0%
4 35
 
7.0%
5 11
 
2.2%
6 4
 
0.8%
7 5
 
1.0%
8 3
 
0.6%
9 4
 
0.8%
ValueCountFrequency (%)
22 1
 
0.2%
21 1
 
0.2%
14 1
 
0.2%
13 1
 
0.2%
12 1
 
0.2%
11 1
 
0.2%
9 4
0.8%
8 3
0.6%
7 5
1.0%
6 4
0.8%

Sample

기준년월(YMD)블록코드(BLCK_CD)43종업종코드(BUSIN_CODE)43종업종명(BUSIN_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)
02015112*3*5SQ01한식음식점353915002363600034100001250017917402388009911601195050285600560375019130001758000609840024990001948600671040073200009355500176682801129800766000611298901521021030712352754151243213461511194201714021711800100004
12015063*1*0*SF08한식음식점3700002788000573800001542650188220019460002012800076300019690008563700416219037030003355500128900035300008252900172590022846370150000231861031343651628336911159114714821077585003621417044201020003
22015041*8*0*SF21중국음식점497200106500011731040352500551505044941003182500265790024227001716200373000624500320000298000045500011320003320000751700517000251710063200026611293118136053192049252121331117443390026418007300021413
32014122*0*0SQ01외국어학원573848007383100404164005240000554150125800731230028000047250070740063000085000293500138700003000041000013004000003811818274407002484129721735222775758017211253002407018400003014
42016031*4*5*SF05한식음식점163452305437180026150007677511031500346800045676702640001500001334000511000121700015250007400000086000025500647965020360001157000269480011891782572415517211791901086370362493200376117681020452020400022001
52015032*5*5*SF16한식음식점350100689000570000075314004900006400001100000625000141861022082706571009345001240700179750065300003680000140200018680002523600267516053161601930684254213364146137134828109116041201130228032201031103
62015071*3*3*SD11한식음식점687000014234001511651004065001222500875180001589900207300013597001750005650033183002137200010997000591500126116023858106297930625400018179510017781717482521314229894610241032280126150010200110031
72016042*5*5*SQ06노래방1646950052785001259900095180162000346820010036590194500083030037650009380001148100063359002287290314000664010081000474650017105003380900633000133269165013177303703712029331216231052109201000132015401010002
82014092*4*4*SQ01양식음식점3216170386133860601940067300413850066220099500145370011600090740060600025750071250027375007334001052100238000240830032810004384001624450033515001047162110174817310620462240230508713061736090114013100000007
92015011*5*7*SQ01일식수산물311422001056100022200034000172500043548056200005070005800036300038512002675200773610012680001927900110060000588500374400013000016325001325100052460431489649211232010777731961178911030800000041200100010
기준년월(YMD)블록코드(BLCK_CD)43종업종코드(BUSIN_CODE)43종업종명(BUSIN_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)
4902014063*0*0*SF01약국7399800010000012985000085300025320004558400386500370006687700314000188400016608800669820096940001261470004980001118840043055507517619011512533320994741144621373486790241341900522012902103000
4912015063*5*3*SD07한식음식점63300014393001516000100001397500216964001987000244600055640067000879000185500061970055490074800021000001379200074560030524000122232112471812271510141602209355177281471110200407000021513
4922015082*9*4*SQ09한식음식점318930008800034187750324004614500428340049156005961000247920143913020359300025775008835004710003470002000340440000165160140690037739750110000177300057221629103302602761191719614017410865300020017904000002
4932014072*7*9*SD08한식음식점410011218940184890001820003835003250001550001402860148000148600054400007484001445000107800036450096215006620028000019800380427803504000932843411271363924022553747532430720421264510010022140220200002001
4942014032*7*3*SQ01한식음식점31014500585630095200001036100190170001557657031889001590003394001125000332300194130011500053520002890000550500281000298650028767000909918484446916512269241265271350213145210213704024501110101
4952015033*5*4SQ04한식음식점16176000160950027156004040000031029001227500221800053218008000307850054163604304840201390045640006605001670100144300052340000015183419832953441254151092075955252600020015600031004
4962015112*5*3*SD07과일채소4045567902310003900057548831789600146660023090002495002575001100000168800011902260101000366750032847000136210083290035060023812001684000125342516229204321934211181412010310700520475100039701128400020101
4972015072*9*7*SD07호프간이주점3465050010579000115517401200035903604000018362000141000032552032800011050400700000116500013000015812000132500039750010035005579000287000175070298446005471834047917237233782842890285417111510227600009011601020101
4982015112*0*1*SD10입시보습학원4150550014720002878500036400042570086700039390008830005180005080000761031049470704247366093700012160000260000344010016940007555200054791118941752100243341011152186086177056689100080028700211010
4992014072*3*1*SD09한식음식점346906870801900012065006000181300086297121733002177500425004582000876690022540405841002440000342050020460002909001409180053200010837001274360013890190212242245951702440144151100124341177000218139400011100