Overview

Dataset statistics

Number of variables64
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory280.4 KiB
Average record size in memory574.3 B

Variable types

Numeric61
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 (70.5%)Imbalance
시간1매출건수합(00:00~06:00)(COUNT_T1) is highly skewed (γ1 = 20.1594073)Skewed
남성매출금액합(CASH_MAN) has unique valuesUnique
여성매출금액합(CASH_WOMAN) has unique valuesUnique
40대매출금액의합(CASH_AGE40) has unique valuesUnique
법인매출금액합(CASH_COMP) has 47 (9.4%) zerosZeros
10대매출금액의합(CASH_AGE10) has 101 (20.2%) zerosZeros
20대매출금액의합(CASH_AGE20) has 7 (1.4%) zerosZeros
50대매출금액의합(CASH_AGE50) has 7 (1.4%) zerosZeros
60대매출금액의합(CASH_AGE60) has 23 (4.6%) zerosZeros
금요일매출금액합(CASH_W6) has 10 (2.0%) zerosZeros
토요일매출금액합(CASH_W7) has 46 (9.2%) zerosZeros
시간1매출금액합(00:00~06:00)(CASH_T1) has 142 (28.4%) zerosZeros
시간2매출금액합(06:01~11:00)(CASH_T2) has 39 (7.8%) zerosZeros
시간6매출금액합(21:01~24:00)(CASH_T6) has 34 (6.8%) zerosZeros
법인매출건수합(COUNT_COMP) has 43 (8.6%) zerosZeros
10대매출건수의합(COUNT_AGE10) has 103 (20.6%) zerosZeros
20대매출건수의합(COUNT_AGE20) has 15 (3.0%) zerosZeros
60대매출건수의합(COUNT_AGE60) has 19 (3.8%) zerosZeros
토요일매출건수합(COUNT_W7) has 24 (4.8%) zerosZeros
시간1매출건수합(00:00~06:00)(COUNT_T1) has 150 (30.0%) zerosZeros
시간2매출건수합(06:01~11:00)(COUNT_T2) has 35 (7.0%) zerosZeros
시간6매출건수합(21:01~24:00)(COUNT_T6) has 36 (7.2%) zerosZeros
10대재방문매출건수의합(REVISIT_COUNT10) has 311 (62.2%) zerosZeros
20대재방문매출건수의합(REVISIT_COUNT20) has 145 (29.0%) zerosZeros
30대재방문매출건수의합(REVISIT_COUNT30) has 88 (17.6%) zerosZeros
40대재방문매출건수의합(REVISIT_COUNT40) has 71 (14.2%) zerosZeros
50대재방문매출건수의합(REVISIT_COUNT50) has 143 (28.6%) zerosZeros
60대재방문매출건수의합(REVISIT_COUNT60) has 201 (40.2%) zerosZeros
영업개월수별가맹점수6개월미만(COUNT_06_MUN) has 284 (56.8%) zerosZeros
영업개월수별가맹점수6개월~1년미만(COUNT_01_YEAR) has 242 (48.4%) zerosZeros
영업개월수별가맹점수1년~2년미만(COUNT_02_YEAR) has 171 (34.2%) zerosZeros
영업개월수별가맹점수2년~3년미만(COUNT_03_YEAR) has 192 (38.4%) zerosZeros
영업개월수별가맹점수3년~4년미만(COUNT_04_YEAR) has 228 (45.6%) zerosZeros
영업대월수별가맹점수4년~5년미만(COUNT_05_YEAR) has 275 (55.0%) zerosZeros
영업개월수별가맹점수5년이상(COUNT_05_YEAR_OVER) has 37 (7.4%) zerosZeros

Reproduction

Analysis started2023-12-10 14:55:24.709655
Analysis finished2023-12-10 14:55:25.783642
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월(YMD)
Real number (ℝ)

Distinct30
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201487.92
Minimum201401
Maximum201606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:25.901216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201401
5-th percentile201402
Q1201408
median201504
Q3201511
95-th percentile201605
Maximum201606
Range205
Interquartile range (IQR)103

Descriptive statistics

Standard deviation73.313596
Coefficient of variation (CV)0.000363861
Kurtosis-1.1558712
Mean201487.92
Median Absolute Deviation (MAD)94
Skewness0.2726122
Sum1.0074396 × 108
Variance5374.8834
MonotonicityNot monotonic
2023-12-10T23:55:26.119399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
201408 22
 
4.4%
201504 21
 
4.2%
201403 21
 
4.2%
201510 21
 
4.2%
201410 20
 
4.0%
201509 20
 
4.0%
201406 20
 
4.0%
201606 20
 
4.0%
201507 20
 
4.0%
201604 19
 
3.8%
Other values (20) 296
59.2%
ValueCountFrequency (%)
201401 14
2.8%
201402 19
3.8%
201403 21
4.2%
201404 10
2.0%
201405 12
2.4%
201406 20
4.0%
201407 15
3.0%
201408 22
4.4%
201409 12
2.4%
201410 20
4.0%
ValueCountFrequency (%)
201606 20
4.0%
201605 17
3.4%
201604 19
3.8%
201603 15
3.0%
201602 18
3.6%
201601 11
2.2%
201512 18
3.6%
201511 15
3.0%
201510 21
4.2%
201509 20
4.0%
Distinct481
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1149068 × 1012
Minimum1.101053 × 1012
Maximum1.1250741 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:26.387173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.101053 × 1012
5-th percentile1.1030719 × 1012
Q11.1090688 × 1012
median1.1150635 × 1012
Q31.1210803 × 1012
95-th percentile1.1250531 × 1012
Maximum1.1250741 × 1012
Range2.402104 × 1010
Interquartile range (IQR)1.2011503 × 1010

Descriptive statistics

Standard deviation7.0009681 × 109
Coefficient of variation (CV)0.0062794198
Kurtosis-1.1632972
Mean1.1149068 × 1012
Median Absolute Deviation (MAD)6.004 × 109
Skewness-0.19269457
Sum5.5745342 × 1014
Variance4.9013554 × 1019
MonotonicityNot monotonic
2023-12-10T23:55:26.691039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1116051010025 3
 
0.6%
1119076010001 2
 
0.4%
1107060040001 2
 
0.4%
1117070010002 2
 
0.4%
1124051020001 2
 
0.4%
1111076010009 2
 
0.4%
1124063020013 2
 
0.4%
1123078020003 2
 
0.4%
1124051010015 2
 
0.4%
1104059010002 2
 
0.4%
Other values (471) 479
95.8%
ValueCountFrequency (%)
1101053010003 1
0.2%
1101054010001 1
0.2%
1101057010001 1
0.2%
1101061020301 1
0.2%
1101061030002 1
0.2%
1101061030006 1
0.2%
1101068010005 1
0.2%
1101072020002 1
0.2%
1101073010004 1
0.2%
1101073040010 1
0.2%
ValueCountFrequency (%)
1125074050008 1
0.2%
1125074040004 1
0.2%
1125074010010 1
0.2%
1125073020026 1
0.2%
1125073010009 1
0.2%
1125072030014 1
0.2%
1125072030001 1
0.2%
1125071021101 1
0.2%
1125071020003 1
0.2%
1125071010013 1
0.2%
Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
SF
173 
SD
171 
SQ
156 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
SF 173
34.6%
SD 171
34.2%
SQ 156
31.2%

Length

2023-12-10T23:55:26.892139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:55:27.031941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sf 173
34.6%
sd 171
34.2%
sq 156
31.2%
Distinct3
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
서비스업
177 
도소매업
166 
외식업
157 

Length

Max length4
Median length4
Mean length3.686
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서비스업 177
35.4%
도소매업 166
33.2%
외식업 157
31.4%

Length

2023-12-10T23:55:27.199257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:55:27.368361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서비스업 177
35.4%
도소매업 166
33.2%
외식업 157
31.4%
Distinct59
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.232
Minimum3
Maximum484
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:27.584793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median7
Q314
95-th percentile45.05
Maximum484
Range481
Interquartile range (IQR)10

Descriptive statistics

Standard deviation26.77858
Coefficient of variation (CV)2.0237742
Kurtosis196.76782
Mean13.232
Median Absolute Deviation (MAD)3.5
Skewness12.06147
Sum6616
Variance717.09236
MonotonicityNot monotonic
2023-12-10T23:55:28.300128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 87
17.4%
4 57
11.4%
5 51
 
10.2%
6 41
 
8.2%
7 35
 
7.0%
9 24
 
4.8%
10 24
 
4.8%
8 18
 
3.6%
14 17
 
3.4%
11 15
 
3.0%
Other values (49) 131
26.2%
ValueCountFrequency (%)
3 87
17.4%
4 57
11.4%
5 51
10.2%
6 41
8.2%
7 35
7.0%
8 18
 
3.6%
9 24
 
4.8%
10 24
 
4.8%
11 15
 
3.0%
12 14
 
2.8%
ValueCountFrequency (%)
484 1
0.2%
201 1
0.2%
116 1
0.2%
88 1
0.2%
85 1
0.2%
78 1
0.2%
76 1
0.2%
70 1
0.2%
69 1
0.2%
67 1
0.2%

법인매출금액합(CASH_COMP)
Real number (ℝ)

ZEROS 

Distinct450
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4113679.7
Minimum0
Maximum1.4373755 × 108
Zeros47
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:28.931809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1203700
median909600
Q33057862.5
95-th percentile17487412
Maximum1.4373755 × 108
Range1.4373755 × 108
Interquartile range (IQR)2854162.5

Descriptive statistics

Standard deviation11957305
Coefficient of variation (CV)2.9067175
Kurtosis69.300311
Mean4113679.7
Median Absolute Deviation (MAD)865400
Skewness7.487757
Sum2.0568398 × 109
Variance1.4297714 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:29.311229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
9.4%
500000 2
 
0.4%
150000 2
 
0.4%
55000 2
 
0.4%
45000 2
 
0.4%
1074100 1
 
0.2%
1350700 1
 
0.2%
599790 1
 
0.2%
1477300 1
 
0.2%
2339700 1
 
0.2%
Other values (440) 440
88.0%
ValueCountFrequency (%)
0 47
9.4%
5300 1
 
0.2%
8700 1
 
0.2%
11000 1
 
0.2%
13000 1
 
0.2%
14500 1
 
0.2%
15800 1
 
0.2%
16300 1
 
0.2%
18000 1
 
0.2%
19500 1
 
0.2%
ValueCountFrequency (%)
143737550 1
0.2%
123475260 1
0.2%
102519169 1
0.2%
67995868 1
0.2%
67831800 1
0.2%
52358400 1
0.2%
50294360 1
0.2%
48246400 1
0.2%
45491760 1
0.2%
33355010 1
0.2%

남성매출금액합(CASH_MAN)
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26693412
Minimum12000
Maximum2.3314937 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:29.558256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12000
5-th percentile541077.5
Q12737000
median6418540
Q317346420
95-th percentile81371612
Maximum2.3314937 × 109
Range2.3314817 × 109
Interquartile range (IQR)14609420

Descriptive statistics

Standard deviation1.179601 × 108
Coefficient of variation (CV)4.4190715
Kurtosis295.365
Mean26693412
Median Absolute Deviation (MAD)4953032
Skewness15.711331
Sum1.3346706 × 1010
Variance1.3914585 × 1016
MonotonicityNot monotonic
2023-12-10T23:55:29.811034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86230332 1
 
0.2%
2381760 1
 
0.2%
103256125 1
 
0.2%
6426000 1
 
0.2%
2318400 1
 
0.2%
141097435 1
 
0.2%
12000 1
 
0.2%
11488120 1
 
0.2%
3199240 1
 
0.2%
7413700 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
12000 1
0.2%
140000 1
0.2%
148500 1
0.2%
167000 1
0.2%
182900 1
0.2%
194200 1
0.2%
203000 1
0.2%
211300 1
0.2%
228000 1
0.2%
250000 1
0.2%
ValueCountFrequency (%)
2331493674 1
0.2%
586321350 1
0.2%
559220340 1
0.2%
466393790 1
0.2%
373410552 1
0.2%
358684240 1
0.2%
354107583 1
0.2%
311249110 1
0.2%
243754221 1
0.2%
175992110 1
0.2%

여성매출금액합(CASH_WOMAN)
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23458326
Minimum0
Maximum7.7370646 × 108
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:30.035385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile777680
Q12525250
median5921280
Q315926360
95-th percentile91261918
Maximum7.7370646 × 108
Range7.7370646 × 108
Interquartile range (IQR)13401110

Descriptive statistics

Standard deviation65719496
Coefficient of variation (CV)2.8015425
Kurtosis65.535365
Mean23458326
Median Absolute Deviation (MAD)4386480
Skewness7.3148391
Sum1.1729163 × 1010
Variance4.3190521 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:30.291077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20032350 1
 
0.2%
11516200 1
 
0.2%
2330000 1
 
0.2%
12591400 1
 
0.2%
1600000 1
 
0.2%
5975100 1
 
0.2%
4443066 1
 
0.2%
59169996 1
 
0.2%
217918449 1
 
0.2%
5646900 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
0 1
0.2%
6000 1
0.2%
8000 1
0.2%
19800 1
0.2%
251500 1
0.2%
260000 1
0.2%
287900 1
0.2%
339500 1
0.2%
367100 1
0.2%
376500 1
0.2%
ValueCountFrequency (%)
773706464 1
0.2%
618782520 1
0.2%
580131474 1
0.2%
547559210 1
0.2%
297715481 1
0.2%
265917004 1
0.2%
217918449 1
0.2%
209873290 1
0.2%
205197980 1
0.2%
197124770 1
0.2%

10대매출금액의합(CASH_AGE10)
Real number (ℝ)

ZEROS 

Distinct379
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean773627.19
Minimum0
Maximum67147835
Zeros101
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:30.539351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18975
median100775
Q3342075
95-th percentile2513282
Maximum67147835
Range67147835
Interquartile range (IQR)333100

Descriptive statistics

Standard deviation4100180.8
Coefficient of variation (CV)5.299944
Kurtosis179.66144
Mean773627.19
Median Absolute Deviation (MAD)100775
Skewness12.573037
Sum3.868136 × 108
Variance1.6811482 × 1013
MonotonicityNot monotonic
2023-12-10T23:55:30.786096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 101
 
20.2%
15000 3
 
0.6%
112000 3
 
0.6%
25000 3
 
0.6%
30600 2
 
0.4%
13000 2
 
0.4%
132000 2
 
0.4%
27000 2
 
0.4%
49000 2
 
0.4%
61500 2
 
0.4%
Other values (369) 378
75.6%
ValueCountFrequency (%)
0 101
20.2%
500 1
 
0.2%
1300 1
 
0.2%
1700 1
 
0.2%
2750 1
 
0.2%
3000 1
 
0.2%
3500 1
 
0.2%
3700 1
 
0.2%
4000 1
 
0.2%
4200 1
 
0.2%
ValueCountFrequency (%)
67147835 1
0.2%
49251180 1
0.2%
26552750 1
0.2%
14185040 1
0.2%
12990700 1
0.2%
11759360 1
0.2%
9782980 1
0.2%
8218150 1
0.2%
7663000 1
0.2%
4639810 1
0.2%

20대매출금액의합(CASH_AGE20)
Real number (ℝ)

ZEROS 

Distinct487
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13179711
Minimum0
Maximum1.9087721 × 109
Zeros7
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:31.050200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49650
Q1460100
median1678000
Q35469402.5
95-th percentile35813468
Maximum1.9087721 × 109
Range1.9087721 × 109
Interquartile range (IQR)5009302.5

Descriptive statistics

Standard deviation94610235
Coefficient of variation (CV)7.1784758
Kurtosis330.9621
Mean13179711
Median Absolute Deviation (MAD)1436800
Skewness17.222334
Sum6.5898554 × 109
Variance8.9510965 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:31.301911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
1.4%
50000 5
 
1.0%
300000 2
 
0.4%
20000 2
 
0.4%
10000 2
 
0.4%
8618270 1
 
0.2%
929600 1
 
0.2%
2555200 1
 
0.2%
631660 1
 
0.2%
1461500 1
 
0.2%
Other values (477) 477
95.4%
ValueCountFrequency (%)
0 7
1.4%
2200 1
 
0.2%
4000 1
 
0.2%
5000 1
 
0.2%
6000 1
 
0.2%
10000 2
 
0.4%
11000 1
 
0.2%
14000 1
 
0.2%
15000 1
 
0.2%
20000 2
 
0.4%
ValueCountFrequency (%)
1908772056 1
0.2%
728913578 1
0.2%
308400650 1
0.2%
300877640 1
0.2%
270836805 1
0.2%
111057945 1
0.2%
106624800 1
0.2%
105227010 1
0.2%
91131590 1
0.2%
80832880 1
0.2%
Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10228226
Minimum0
Maximum9.2040666 × 108
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:31.553858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile234275
Q11115575
median3199460
Q38325147.5
95-th percentile31381820
Maximum9.2040666 × 108
Range9.2040666 × 108
Interquartile range (IQR)7209572.5

Descriptive statistics

Standard deviation44743728
Coefficient of variation (CV)4.3745346
Kurtosis346.53061
Mean10228226
Median Absolute Deviation (MAD)2618385
Skewness17.429541
Sum5.1141129 × 109
Variance2.0020012 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:32.150341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
317000 1
 
0.2%
967430 1
 
0.2%
30112210 1
 
0.2%
557500 1
 
0.2%
1425400 1
 
0.2%
10361330 1
 
0.2%
4194390 1
 
0.2%
15712900 1
 
0.2%
2515100 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
0 4
0.8%
5000 1
 
0.2%
20000 1
 
0.2%
28000 1
 
0.2%
29000 1
 
0.2%
30000 1
 
0.2%
50000 1
 
0.2%
66000 1
 
0.2%
82850 1
 
0.2%
85000 1
 
0.2%
ValueCountFrequency (%)
920406662 1
0.2%
255527990 1
0.2%
163319010 1
0.2%
112007970 1
0.2%
98072020 1
0.2%
91542220 1
0.2%
71908190 1
0.2%
67809950 1
0.2%
65615250 1
0.2%
60909410 1
0.2%

40대매출금액의합(CASH_AGE40)
Real number (ℝ)

UNIQUE 

Distinct500
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10445996
Minimum0
Maximum4.9015788 × 108
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:32.408205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile312095
Q11448750
median3620630
Q39139327.5
95-th percentile37802976
Maximum4.9015788 × 108
Range4.9015788 × 108
Interquartile range (IQR)7690577.5

Descriptive statistics

Standard deviation30031636
Coefficient of variation (CV)2.8749423
Kurtosis146.02136
Mean10445996
Median Absolute Deviation (MAD)2674520
Skewness10.56154
Sum5.222998 × 109
Variance9.0189916 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:32.710405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4757000 1
 
0.2%
4454900 1
 
0.2%
6089600 1
 
0.2%
2911000 1
 
0.2%
3469300 1
 
0.2%
26101310 1
 
0.2%
7939870 1
 
0.2%
3446900 1
 
0.2%
5822190 1
 
0.2%
2281510 1
 
0.2%
Other values (490) 490
98.0%
ValueCountFrequency (%)
0 1
0.2%
21000 1
0.2%
48000 1
0.2%
99400 1
0.2%
123200 1
0.2%
123600 1
0.2%
127000 1
0.2%
135000 1
0.2%
155000 1
0.2%
156000 1
0.2%
ValueCountFrequency (%)
490157876 1
0.2%
274849740 1
0.2%
205614240 1
0.2%
112134525 1
0.2%
103531308 1
0.2%
103365940 1
0.2%
97604370 1
0.2%
86762315 1
0.2%
82662930 1
0.2%
77015770 1
0.2%

50대매출금액의합(CASH_AGE50)
Real number (ℝ)

ZEROS 

Distinct490
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10330884
Minimum0
Maximum8.2627983 × 108
Zeros7
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:33.138357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile115525
Q1830700
median2514605
Q36871700
95-th percentile36662899
Maximum8.2627983 × 108
Range8.2627983 × 108
Interquartile range (IQR)6041000

Descriptive statistics

Standard deviation44734939
Coefficient of variation (CV)4.330214
Kurtosis244.75891
Mean10330884
Median Absolute Deviation (MAD)2045755
Skewness14.565652
Sum5.1654421 × 109
Variance2.0012147 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:33.408626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
1.4%
99000 2
 
0.4%
30000 2
 
0.4%
422000 2
 
0.4%
2007000 2
 
0.4%
4519300 1
 
0.2%
121564040 1
 
0.2%
2788500 1
 
0.2%
3271500 1
 
0.2%
28852940 1
 
0.2%
Other values (480) 480
96.0%
ValueCountFrequency (%)
0 7
1.4%
9800 1
 
0.2%
30000 2
 
0.4%
40000 1
 
0.2%
47000 1
 
0.2%
50000 1
 
0.2%
58100 1
 
0.2%
76000 1
 
0.2%
84000 1
 
0.2%
85400 1
 
0.2%
ValueCountFrequency (%)
826279834 1
0.2%
471950650 1
0.2%
123806170 1
0.2%
121564040 1
0.2%
97929980 1
0.2%
93328154 1
0.2%
93037730 1
0.2%
84898887 1
0.2%
72219420 1
0.2%
68553880 1
0.2%

60대매출금액의합(CASH_AGE60)
Real number (ℝ)

ZEROS 

Distinct473
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7722558.1
Minimum0
Maximum9.766466 × 108
Zeros23
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:33.697948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12950
Q1280337.5
median945100
Q33673125
95-th percentile26357874
Maximum9.766466 × 108
Range9.766466 × 108
Interquartile range (IQR)3392787.5

Descriptive statistics

Standard deviation47229271
Coefficient of variation (CV)6.1157547
Kurtosis358.30396
Mean7722558.1
Median Absolute Deviation (MAD)857100
Skewness17.852984
Sum3.8612791 × 109
Variance2.230604 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:34.006245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
4.6%
500000 2
 
0.4%
88000 2
 
0.4%
40000 2
 
0.4%
100000 2
 
0.4%
25000 2
 
0.4%
62606054 1
 
0.2%
1013890 1
 
0.2%
314000 1
 
0.2%
821670 1
 
0.2%
Other values (463) 463
92.6%
ValueCountFrequency (%)
0 23
4.6%
10000 1
 
0.2%
12000 1
 
0.2%
13000 1
 
0.2%
14000 1
 
0.2%
15000 1
 
0.2%
19700 1
 
0.2%
24000 1
 
0.2%
25000 2
 
0.4%
25850 1
 
0.2%
ValueCountFrequency (%)
976646595 1
0.2%
254337072 1
0.2%
157602500 1
0.2%
148848560 1
0.2%
132470540 1
0.2%
110365462 1
0.2%
70257890 1
0.2%
62606054 1
0.2%
61287590 1
0.2%
60574322 1
0.2%
Distinct492
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8846124.3
Minimum0
Maximum3.797291 × 108
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:34.304322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile186600
Q1859075
median2152510
Q35762191
95-th percentile26694187
Maximum3.797291 × 108
Range3.797291 × 108
Interquartile range (IQR)4903116

Descriptive statistics

Standard deviation30190560
Coefficient of variation (CV)3.4128573
Kurtosis72.567322
Mean8846124.3
Median Absolute Deviation (MAD)1645060
Skewness7.8385854
Sum4.4230622 × 109
Variance9.114699 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:34.619472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
633000 2
 
0.4%
856000 2
 
0.4%
1571000 2
 
0.4%
2587000 2
 
0.4%
366000 2
 
0.4%
1343700 1
 
0.2%
1616800 1
 
0.2%
25552320 1
 
0.2%
15402270 1
 
0.2%
Other values (482) 482
96.4%
ValueCountFrequency (%)
0 4
0.8%
4800 1
 
0.2%
8000 1
 
0.2%
16400 1
 
0.2%
21000 1
 
0.2%
25000 1
 
0.2%
30000 1
 
0.2%
39000 1
 
0.2%
59000 1
 
0.2%
60000 1
 
0.2%
ValueCountFrequency (%)
379729100 1
0.2%
277261110 1
0.2%
226141940 1
0.2%
213333190 1
0.2%
211500960 1
0.2%
152448920 1
0.2%
148697270 1
0.2%
121317670 1
0.2%
110840070 1
0.2%
89978920 1
0.2%
Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7659318
Minimum0
Maximum4.462281 × 108
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:34.924107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile218550
Q1853755
median2148390
Q35567925
95-th percentile28795038
Maximum4.462281 × 108
Range4.462281 × 108
Interquartile range (IQR)4714170

Descriptive statistics

Standard deviation27132644
Coefficient of variation (CV)3.5424361
Kurtosis169.65568
Mean7659318
Median Absolute Deviation (MAD)1681585
Skewness11.813616
Sum3.829659 × 109
Variance7.361804 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:35.224001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
0.4%
140000 2
 
0.4%
400000 2
 
0.4%
11702100 1
 
0.2%
219000 1
 
0.2%
1981840 1
 
0.2%
1650310 1
 
0.2%
2101908 1
 
0.2%
73100 1
 
0.2%
5259600 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
0 2
0.4%
16200 1
0.2%
18200 1
0.2%
54000 1
0.2%
73100 1
0.2%
83000 1
0.2%
107500 1
0.2%
121000 1
0.2%
122000 1
0.2%
129000 1
0.2%
ValueCountFrequency (%)
446228100 1
0.2%
314380080 1
0.2%
101075370 1
0.2%
88052290 1
0.2%
84753470 1
0.2%
83706840 1
0.2%
81983974 1
0.2%
76631010 1
0.2%
65073545 1
0.2%
61839205 1
0.2%
Distinct494
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8852423.8
Minimum0
Maximum4.2728225 × 108
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:35.500566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile228422.5
Q1859285
median2206100
Q36589952.5
95-th percentile28541293
Maximum4.2728225 × 108
Range4.2728225 × 108
Interquartile range (IQR)5730667.5

Descriptive statistics

Standard deviation28445603
Coefficient of variation (CV)3.2133124
Kurtosis108.48509
Mean8852423.8
Median Absolute Deviation (MAD)1681550
Skewness9.1165707
Sum4.4262119 × 109
Variance8.0915231 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:35.809050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
1109600 2
 
0.4%
145000 2
 
0.4%
585000 2
 
0.4%
2060600 1
 
0.2%
8829410 1
 
0.2%
8462160 1
 
0.2%
1649450 1
 
0.2%
685600 1
 
0.2%
2829530 1
 
0.2%
Other values (484) 484
96.8%
ValueCountFrequency (%)
0 4
0.8%
14000 1
 
0.2%
19500 1
 
0.2%
22000 1
 
0.2%
25000 1
 
0.2%
26000 1
 
0.2%
36000 1
 
0.2%
62000 1
 
0.2%
66400 1
 
0.2%
67800 1
 
0.2%
ValueCountFrequency (%)
427282251 1
0.2%
220356765 1
0.2%
202257530 1
0.2%
174902745 1
0.2%
154019626 1
0.2%
147019336 1
0.2%
117813890 1
0.2%
117325110 1
0.2%
84260870 1
0.2%
77407731 1
0.2%
Distinct498
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7923529.3
Minimum0
Maximum4.5120094 × 108
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:36.091349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile187000
Q1920922.5
median2483350
Q36334125
95-th percentile21284886
Maximum4.5120094 × 108
Range4.5120094 × 108
Interquartile range (IQR)5413202.5

Descriptive statistics

Standard deviation27603935
Coefficient of variation (CV)3.4837929
Kurtosis151.36574
Mean7923529.3
Median Absolute Deviation (MAD)1922600
Skewness11.032993
Sum3.9617647 × 109
Variance7.6197725 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:36.377739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
0.4%
79000 2
 
0.4%
10162420 1
 
0.2%
142277994 1
 
0.2%
2944000 1
 
0.2%
4132330 1
 
0.2%
5940720 1
 
0.2%
5066100 1
 
0.2%
77900 1
 
0.2%
78374430 1
 
0.2%
Other values (488) 488
97.6%
ValueCountFrequency (%)
0 2
0.4%
14700 1
0.2%
17500 1
0.2%
30000 1
0.2%
37000 1
0.2%
60000 1
0.2%
62000 1
0.2%
77900 1
0.2%
79000 2
0.4%
99000 1
0.2%
ValueCountFrequency (%)
451200939 1
0.2%
233201890 1
0.2%
226098960 1
0.2%
142277994 1
0.2%
141721070 1
0.2%
79131400 1
0.2%
78374430 1
0.2%
72808000 1
0.2%
59497105 1
0.2%
53160265 1
0.2%
Distinct495
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8046548.6
Minimum0
Maximum4.5218364 × 108
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:36.661957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile204635
Q1794355
median2055800
Q36135057.5
95-th percentile28739835
Maximum4.5218364 × 108
Range4.5218364 × 108
Interquartile range (IQR)5340702.5

Descriptive statistics

Standard deviation29030399
Coefficient of variation (CV)3.6078075
Kurtosis147.80319
Mean8046548.6
Median Absolute Deviation (MAD)1637300
Skewness11.103873
Sum4.0232743 × 109
Variance8.4276406 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:36.955111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
1622900 2
 
0.4%
220000 2
 
0.4%
1254090 1
 
0.2%
1113000 1
 
0.2%
3865450 1
 
0.2%
162000 1
 
0.2%
833700 1
 
0.2%
3237300 1
 
0.2%
4064979 1
 
0.2%
Other values (485) 485
97.0%
ValueCountFrequency (%)
0 4
0.8%
9000 1
 
0.2%
10000 1
 
0.2%
29400 1
 
0.2%
30000 1
 
0.2%
42600 1
 
0.2%
54000 1
 
0.2%
113000 1
 
0.2%
116780 1
 
0.2%
121000 1
 
0.2%
ValueCountFrequency (%)
452183637 1
0.2%
343679528 1
0.2%
162797710 1
0.2%
144247140 1
0.2%
119227410 1
0.2%
106830290 1
0.2%
61169540 1
0.2%
60169905 1
0.2%
55114680 1
0.2%
53792270 1
0.2%

금요일매출금액합(CASH_W6)
Real number (ℝ)

ZEROS 

Distinct485
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12212863
Minimum0
Maximum8.7984962 × 108
Zeros10
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:37.328321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53937.5
Q1747740
median2182310
Q36977800
95-th percentile46521477
Maximum8.7984962 × 108
Range8.7984962 × 108
Interquartile range (IQR)6230060

Descriptive statistics

Standard deviation53217277
Coefficient of variation (CV)4.3574778
Kurtosis179.51153
Mean12212863
Median Absolute Deviation (MAD)1878010
Skewness12.372705
Sum6.1064313 × 109
Variance2.8320786 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:37.606814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
2.0%
150000 3
 
0.6%
35000 3
 
0.6%
629000 2
 
0.4%
830000 2
 
0.4%
2035371 1
 
0.2%
30335390 1
 
0.2%
1135210 1
 
0.2%
426060 1
 
0.2%
11426050 1
 
0.2%
Other values (475) 475
95.0%
ValueCountFrequency (%)
0 10
2.0%
14000 1
 
0.2%
14400 1
 
0.2%
16000 1
 
0.2%
20000 1
 
0.2%
21500 1
 
0.2%
29000 1
 
0.2%
30000 1
 
0.2%
32000 1
 
0.2%
35000 3
 
0.6%
ValueCountFrequency (%)
879849620 1
0.2%
633452330 1
0.2%
225355370 1
0.2%
223914560 1
0.2%
206430920 1
0.2%
123657280 1
0.2%
112564603 1
0.2%
111309455 1
0.2%
102343800 1
0.2%
92837435 1
0.2%

토요일매출금액합(CASH_W7)
Real number (ℝ)

ZEROS 

Distinct448
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5328342.3
Minimum0
Maximum4.5137092 × 108
Zeros46
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:37.897536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1265187.5
median982865
Q33413650
95-th percentile20752185
Maximum4.5137092 × 108
Range4.5137092 × 108
Interquartile range (IQR)3148462.5

Descriptive statistics

Standard deviation23533049
Coefficient of variation (CV)4.4165797
Kurtosis265.69879
Mean5328342.3
Median Absolute Deviation (MAD)909365
Skewness14.835811
Sum2.6641711 × 109
Variance5.5380438 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:38.106328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46
 
9.2%
12000 2
 
0.4%
600000 2
 
0.4%
228100 2
 
0.4%
25000 2
 
0.4%
250000 2
 
0.4%
129000 2
 
0.4%
18000 2
 
0.4%
398860 1
 
0.2%
2363700 1
 
0.2%
Other values (438) 438
87.6%
ValueCountFrequency (%)
0 46
9.2%
9000 1
 
0.2%
10000 1
 
0.2%
12000 2
 
0.4%
13200 1
 
0.2%
18000 2
 
0.4%
20000 1
 
0.2%
24500 1
 
0.2%
25000 2
 
0.4%
25900 1
 
0.2%
ValueCountFrequency (%)
451370917 1
0.2%
178427893 1
0.2%
94856480 1
0.2%
90876180 1
0.2%
59989160 1
0.2%
58695430 1
0.2%
48195457 1
0.2%
45372490 1
0.2%
43931112 1
0.2%
42870270 1
0.2%
Distinct352
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2752344.1
Minimum0
Maximum2.2912779 × 108
Zeros142
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:38.361938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median418425
Q31590500
95-th percentile8070795
Maximum2.2912779 × 108
Range2.2912779 × 108
Interquartile range (IQR)1590500

Descriptive statistics

Standard deviation14152432
Coefficient of variation (CV)5.141956
Kurtosis181.07751
Mean2752344.1
Median Absolute Deviation (MAD)418425
Skewness12.681679
Sum1.376172 × 109
Variance2.0029134 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:38.617388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 142
28.4%
80000 3
 
0.6%
17000 2
 
0.4%
240000 2
 
0.4%
133000 2
 
0.4%
110000 2
 
0.4%
30000 2
 
0.4%
1021500 1
 
0.2%
340000 1
 
0.2%
974000 1
 
0.2%
Other values (342) 342
68.4%
ValueCountFrequency (%)
0 142
28.4%
2700 1
 
0.2%
3500 1
 
0.2%
9400 1
 
0.2%
13850 1
 
0.2%
16000 1
 
0.2%
17000 2
 
0.4%
18500 1
 
0.2%
21900 1
 
0.2%
23150 1
 
0.2%
ValueCountFrequency (%)
229127791 1
0.2%
179193328 1
0.2%
71504549 1
0.2%
66747500 1
0.2%
46222100 1
0.2%
39541100 1
0.2%
32807600 1
0.2%
26739300 1
0.2%
21387330 1
0.2%
16638000 1
0.2%
Distinct460
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9668076.9
Minimum0
Maximum1.6827564 × 109
Zeros39
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:38.927985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1238300
median1108935
Q33385312.5
95-th percentile18300008
Maximum1.6827564 × 109
Range1.6827564 × 109
Interquartile range (IQR)3147012.5

Descriptive statistics

Standard deviation89350265
Coefficient of variation (CV)9.2417825
Kurtosis285.46859
Mean9668076.9
Median Absolute Deviation (MAD)1051635
Skewness16.512622
Sum4.8340385 × 109
Variance7.9834698 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:39.218457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
7.8%
22000 2
 
0.4%
10000 2
 
0.4%
330300 1
 
0.2%
305000 1
 
0.2%
1012320 1
 
0.2%
346000 1
 
0.2%
45000 1
 
0.2%
18491671 1
 
0.2%
88000 1
 
0.2%
Other values (450) 450
90.0%
ValueCountFrequency (%)
0 39
7.8%
1700 1
 
0.2%
3000 1
 
0.2%
3300 1
 
0.2%
7000 1
 
0.2%
9000 1
 
0.2%
9500 1
 
0.2%
10000 2
 
0.4%
12000 1
 
0.2%
13000 1
 
0.2%
ValueCountFrequency (%)
1682756450 1
0.2%
1062664227 1
0.2%
125730640 1
0.2%
88645615 1
0.2%
86730160 1
0.2%
81131400 1
0.2%
80062733 1
0.2%
50335920 1
0.2%
46060549 1
0.2%
45653120 1
0.2%
Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8802335.2
Minimum0
Maximum2.6357457 × 108
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:39.912963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile208630
Q11062080
median2981900
Q37740942.5
95-th percentile33080774
Maximum2.6357457 × 108
Range2.6357457 × 108
Interquartile range (IQR)6678862.5

Descriptive statistics

Standard deviation20424582
Coefficient of variation (CV)2.3203595
Kurtosis64.416228
Mean8802335.2
Median Absolute Deviation (MAD)2373395
Skewness6.8047032
Sum4.4011676 × 109
Variance4.1716356 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:40.210053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 2
 
0.4%
0 2
 
0.4%
165000 2
 
0.4%
8594820 1
 
0.2%
6649240 1
 
0.2%
926675 1
 
0.2%
1181900 1
 
0.2%
12816300 1
 
0.2%
25428020 1
 
0.2%
275000 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
0 2
0.4%
5000 1
0.2%
20000 1
0.2%
37200 1
0.2%
43600 1
0.2%
60000 1
0.2%
66000 1
0.2%
85000 1
0.2%
87500 1
0.2%
89000 1
0.2%
ValueCountFrequency (%)
263574570 1
0.2%
186290160 1
0.2%
128427000 1
0.2%
111439750 1
0.2%
95588765 1
0.2%
84399180 1
0.2%
83931768 1
0.2%
77687710 1
0.2%
77589140 1
0.2%
76396210 1
0.2%
Distinct497
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8636685.4
Minimum0
Maximum1.4748451 × 108
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:40.458900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile223515
Q11035800
median3072950
Q39005975
95-th percentile32193692
Maximum1.4748451 × 108
Range1.4748451 × 108
Interquartile range (IQR)7970175

Descriptive statistics

Standard deviation16360079
Coefficient of variation (CV)1.8942544
Kurtosis28.661692
Mean8636685.4
Median Absolute Deviation (MAD)2609525
Skewness4.7112143
Sum4.3183427 × 109
Variance2.676522 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:40.765689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
0.8%
5643440 1
 
0.2%
927160 1
 
0.2%
1118480 1
 
0.2%
11711700 1
 
0.2%
11493020 1
 
0.2%
1623700 1
 
0.2%
7063700 1
 
0.2%
15599900 1
 
0.2%
8954850 1
 
0.2%
Other values (487) 487
97.4%
ValueCountFrequency (%)
0 4
0.8%
14000 1
 
0.2%
21000 1
 
0.2%
30000 1
 
0.2%
43400 1
 
0.2%
56000 1
 
0.2%
59400 1
 
0.2%
76000 1
 
0.2%
109500 1
 
0.2%
120000 1
 
0.2%
ValueCountFrequency (%)
147484510 1
0.2%
143018280 1
0.2%
114760970 1
0.2%
105261350 1
0.2%
99578090 1
0.2%
85620243 1
0.2%
84022790 1
0.2%
77061281 1
0.2%
60571320 1
0.2%
59966330 1
0.2%
Distinct499
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19383959
Minimum0
Maximum1.2783487 × 109
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:41.128329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile543350
Q11943487.5
median4571780
Q312989685
95-th percentile59490090
Maximum1.2783487 × 109
Range1.2783487 × 109
Interquartile range (IQR)11046198

Descriptive statistics

Standard deviation76606465
Coefficient of variation (CV)3.9520547
Kurtosis166.99103
Mean19383959
Median Absolute Deviation (MAD)3459530
Skewness11.78575
Sum9.6919793 × 109
Variance5.8685504 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:41.424339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
918800 2
 
0.4%
9621330 1
 
0.2%
2556100 1
 
0.2%
569650 1
 
0.2%
1005810 1
 
0.2%
6837200 1
 
0.2%
29145830 1
 
0.2%
3208000 1
 
0.2%
334500 1
 
0.2%
986700 1
 
0.2%
Other values (489) 489
97.8%
ValueCountFrequency (%)
0 1
0.2%
28000 1
0.2%
46000 1
0.2%
140000 1
0.2%
188000 1
0.2%
197000 1
0.2%
239000 1
0.2%
252000 1
0.2%
270300 1
0.2%
295600 1
0.2%
ValueCountFrequency (%)
1278348690 1
0.2%
695100380 1
0.2%
582378356 1
0.2%
515217607 1
0.2%
239993720 1
0.2%
198324273 1
0.2%
183228070 1
0.2%
178348440 1
0.2%
118362590 1
0.2%
113099928 1
0.2%
Distinct461
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8046146.1
Minimum0
Maximum6.2042156 × 108
Zeros34
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:41.753766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1482525
median1555000
Q34616410
95-th percentile22522923
Maximum6.2042156 × 108
Range6.2042156 × 108
Interquartile range (IQR)4133885

Descriptive statistics

Standard deviation38504806
Coefficient of variation (CV)4.7854967
Kurtosis160.21317
Mean8046146.1
Median Absolute Deviation (MAD)1377160
Skewness11.835411
Sum4.023073 × 109
Variance1.4826201 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:42.058749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
6.8%
176000 3
 
0.6%
250000 2
 
0.4%
590000 2
 
0.4%
120000 2
 
0.4%
295000 2
 
0.4%
5506500 1
 
0.2%
1552000 1
 
0.2%
13907800 1
 
0.2%
3858680 1
 
0.2%
Other values (451) 451
90.2%
ValueCountFrequency (%)
0 34
6.8%
8000 1
 
0.2%
10000 1
 
0.2%
11000 1
 
0.2%
18000 1
 
0.2%
21000 1
 
0.2%
30000 1
 
0.2%
33000 1
 
0.2%
33700 1
 
0.2%
35360 1
 
0.2%
ValueCountFrequency (%)
620421560 1
0.2%
384746660 1
0.2%
350051559 1
0.2%
226987671 1
0.2%
97501310 1
0.2%
88831750 1
0.2%
73445290 1
0.2%
65510490 1
0.2%
60386743 1
0.2%
57272410 1
0.2%

법인매출건수합(COUNT_COMP)
Real number (ℝ)

ZEROS 

Distinct184
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.676
Minimum0
Maximum3914
Zeros43
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:42.344693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median23
Q375.5
95-th percentile409.45
Maximum3914
Range3914
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation335.81476
Coefficient of variation (CV)3.0342148
Kurtosis65.778392
Mean110.676
Median Absolute Deviation (MAD)21
Skewness7.3706536
Sum55338
Variance112771.55
MonotonicityNot monotonic
2023-12-10T23:55:42.720974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
8.6%
1 28
 
5.6%
2 19
 
3.8%
3 16
 
3.2%
8 14
 
2.8%
9 13
 
2.6%
13 12
 
2.4%
10 11
 
2.2%
15 9
 
1.8%
23 9
 
1.8%
Other values (174) 326
65.2%
ValueCountFrequency (%)
0 43
8.6%
1 28
5.6%
2 19
3.8%
3 16
 
3.2%
4 7
 
1.4%
5 5
 
1.0%
6 6
 
1.2%
7 8
 
1.6%
8 14
 
2.8%
9 13
 
2.6%
ValueCountFrequency (%)
3914 1
0.2%
3507 1
0.2%
2560 1
0.2%
2271 1
0.2%
1986 1
0.2%
1973 1
0.2%
1531 1
0.2%
976 1
0.2%
906 1
0.2%
898 1
0.2%
Distinct373
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean844.05
Minimum0
Maximum25271
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:43.102412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q166.75
median270.5
Q3810.25
95-th percentile3610.25
Maximum25271
Range25271
Interquartile range (IQR)743.5

Descriptive statistics

Standard deviation1890.7366
Coefficient of variation (CV)2.2400766
Kurtosis67.668087
Mean844.05
Median Absolute Deviation (MAD)239
Skewness6.8333028
Sum422025
Variance3574885
MonotonicityNot monotonic
2023-12-10T23:55:43.435679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 6
 
1.2%
14 5
 
1.0%
11 5
 
1.0%
45 5
 
1.0%
51 4
 
0.8%
5 4
 
0.8%
15 4
 
0.8%
7 4
 
0.8%
26 4
 
0.8%
4 4
 
0.8%
Other values (363) 455
91.0%
ValueCountFrequency (%)
0 1
 
0.2%
1 1
 
0.2%
2 1
 
0.2%
3 4
0.8%
4 4
0.8%
5 4
0.8%
6 3
0.6%
7 4
0.8%
8 2
0.4%
9 2
0.4%
ValueCountFrequency (%)
25271 1
0.2%
14429 1
0.2%
13316 1
0.2%
12053 1
0.2%
9507 1
0.2%
7946 1
0.2%
6723 1
0.2%
6355 1
0.2%
6328 1
0.2%
5570 1
0.2%
Distinct359
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean879.358
Minimum1
Maximum57007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:43.707466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.95
Q155
median186
Q3652.25
95-th percentile3542.65
Maximum57007
Range57006
Interquartile range (IQR)597.25

Descriptive statistics

Standard deviation3051.8165
Coefficient of variation (CV)3.4705052
Kurtosis233.43968
Mean879.358
Median Absolute Deviation (MAD)160
Skewness13.486334
Sum439679
Variance9313584.2
MonotonicityNot monotonic
2023-12-10T23:55:43.956699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 6
 
1.2%
34 5
 
1.0%
96 5
 
1.0%
18 5
 
1.0%
16 5
 
1.0%
31 5
 
1.0%
67 5
 
1.0%
10 5
 
1.0%
36 4
 
0.8%
39 4
 
0.8%
Other values (349) 451
90.2%
ValueCountFrequency (%)
1 2
 
0.4%
2 3
0.6%
3 3
0.6%
4 2
 
0.4%
6 2
 
0.4%
7 2
 
0.4%
8 2
 
0.4%
9 3
0.6%
10 5
1.0%
11 1
 
0.2%
ValueCountFrequency (%)
57007 1
0.2%
18139 1
0.2%
15297 1
0.2%
14838 1
0.2%
9207 1
0.2%
8491 1
0.2%
8067 1
0.2%
7240 1
0.2%
7094 1
0.2%
6226 1
0.2%

10대매출건수의합(COUNT_AGE10)
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.872
Minimum0
Maximum1419
Zeros103
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:44.188739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q340.25
95-th percentile249.05
Maximum1419
Range1419
Interquartile range (IQR)39.25

Descriptive statistics

Standard deviation131.28115
Coefficient of variation (CV)2.5806171
Kurtosis50.266671
Mean50.872
Median Absolute Deviation (MAD)8
Skewness6.1592794
Sum25436
Variance17234.741
MonotonicityNot monotonic
2023-12-10T23:55:44.432117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 103
20.6%
1 47
 
9.4%
2 24
 
4.8%
4 22
 
4.4%
3 18
 
3.6%
5 13
 
2.6%
7 11
 
2.2%
6 11
 
2.2%
9 8
 
1.6%
10 7
 
1.4%
Other values (125) 236
47.2%
ValueCountFrequency (%)
0 103
20.6%
1 47
9.4%
2 24
 
4.8%
3 18
 
3.6%
4 22
 
4.4%
5 13
 
2.6%
6 11
 
2.2%
7 11
 
2.2%
8 6
 
1.2%
9 8
 
1.6%
ValueCountFrequency (%)
1419 1
0.2%
1268 1
0.2%
1181 1
0.2%
612 1
0.2%
560 1
0.2%
555 1
0.2%
476 1
0.2%
461 2
0.4%
452 1
0.2%
446 1
0.2%

20대매출건수의합(COUNT_AGE20)
Real number (ℝ)

ZEROS 

Distinct308
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean751.054
Minimum0
Maximum68902
Zeros15
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:44.681088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q121.75
median119
Q3480.25
95-th percentile2220.3
Maximum68902
Range68902
Interquartile range (IQR)458.5

Descriptive statistics

Standard deviation3503.6408
Coefficient of variation (CV)4.6649652
Kurtosis289.75811
Mean751.054
Median Absolute Deviation (MAD)113
Skewness15.480733
Sum375527
Variance12275499
MonotonicityNot monotonic
2023-12-10T23:55:44.908555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 16
 
3.2%
0 15
 
3.0%
1 13
 
2.6%
3 9
 
1.8%
4 8
 
1.6%
5 6
 
1.2%
9 6
 
1.2%
15 5
 
1.0%
16 5
 
1.0%
24 5
 
1.0%
Other values (298) 412
82.4%
ValueCountFrequency (%)
0 15
3.0%
1 13
2.6%
2 16
3.2%
3 9
1.8%
4 8
1.6%
5 6
 
1.2%
6 5
 
1.0%
7 3
 
0.6%
8 4
 
0.8%
9 6
 
1.2%
ValueCountFrequency (%)
68902 1
0.2%
15999 1
0.2%
14593 1
0.2%
13397 1
0.2%
12617 1
0.2%
12569 1
0.2%
11592 1
0.2%
9169 1
0.2%
7242 1
0.2%
6584 1
0.2%
Distinct341
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean529.856
Minimum0
Maximum18058
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:45.175906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q140
median157
Q3507
95-th percentile2350.35
Maximum18058
Range18058
Interquartile range (IQR)467

Descriptive statistics

Standard deviation1302.1923
Coefficient of variation (CV)2.4576344
Kurtosis77.331297
Mean529.856
Median Absolute Deviation (MAD)137
Skewness7.3805826
Sum264928
Variance1695704.9
MonotonicityNot monotonic
2023-12-10T23:55:45.425964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 7
 
1.4%
7 5
 
1.0%
10 5
 
1.0%
8 5
 
1.0%
133 4
 
0.8%
80 4
 
0.8%
9 4
 
0.8%
6 4
 
0.8%
25 4
 
0.8%
30 4
 
0.8%
Other values (331) 454
90.8%
ValueCountFrequency (%)
0 1
 
0.2%
1 4
0.8%
2 4
0.8%
3 4
0.8%
4 4
0.8%
5 3
0.6%
6 4
0.8%
7 5
1.0%
8 5
1.0%
9 4
0.8%
ValueCountFrequency (%)
18058 1
0.2%
9793 1
0.2%
8876 1
0.2%
7588 1
0.2%
7357 1
0.2%
5874 1
0.2%
5390 1
0.2%
4616 1
0.2%
4505 1
0.2%
3551 1
0.2%
Distinct321
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean381.01
Minimum0
Maximum7280
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:45.675870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q137
median129
Q3375
95-th percentile1622.2
Maximum7280
Range7280
Interquartile range (IQR)338

Descriptive statistics

Standard deviation716.46517
Coefficient of variation (CV)1.8804367
Kurtosis28.699387
Mean381.01
Median Absolute Deviation (MAD)107
Skewness4.5181058
Sum190505
Variance513322.34
MonotonicityNot monotonic
2023-12-10T23:55:45.960965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 6
 
1.2%
12 6
 
1.2%
30 6
 
1.2%
20 5
 
1.0%
7 5
 
1.0%
37 5
 
1.0%
79 5
 
1.0%
27 5
 
1.0%
13 5
 
1.0%
10 5
 
1.0%
Other values (311) 447
89.4%
ValueCountFrequency (%)
0 1
 
0.2%
1 3
0.6%
2 4
0.8%
3 5
1.0%
4 4
0.8%
5 5
1.0%
6 2
 
0.4%
7 5
1.0%
8 2
 
0.4%
9 3
0.6%
ValueCountFrequency (%)
7280 1
0.2%
5337 1
0.2%
5131 1
0.2%
4114 1
0.2%
3961 1
0.2%
3607 1
0.2%
2923 1
0.2%
2874 1
0.2%
2749 1
0.2%
2658 1
0.2%
Distinct290
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean325.946
Minimum0
Maximum11272
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:46.252094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q121.75
median87
Q3280.25
95-th percentile1210.5
Maximum11272
Range11272
Interquartile range (IQR)258.5

Descriptive statistics

Standard deviation923.78023
Coefficient of variation (CV)2.8341512
Kurtosis77.531309
Mean325.946
Median Absolute Deviation (MAD)78
Skewness7.855365
Sum162973
Variance853369.92
MonotonicityNot monotonic
2023-12-10T23:55:46.560919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 9
 
1.8%
3 8
 
1.6%
6 8
 
1.6%
12 8
 
1.6%
26 8
 
1.6%
9 7
 
1.4%
2 7
 
1.4%
1 7
 
1.4%
23 7
 
1.4%
8 7
 
1.4%
Other values (280) 424
84.8%
ValueCountFrequency (%)
0 5
1.0%
1 7
1.4%
2 7
1.4%
3 8
1.6%
4 5
1.0%
5 9
1.8%
6 8
1.6%
7 6
1.2%
8 7
1.4%
9 7
1.4%
ValueCountFrequency (%)
11272 1
0.2%
10669 1
0.2%
6571 1
0.2%
5044 1
0.2%
4870 1
0.2%
4450 1
0.2%
3898 1
0.2%
3088 1
0.2%
2741 1
0.2%
2632 1
0.2%

60대매출건수의합(COUNT_AGE60)
Real number (ℝ)

ZEROS 

Distinct201
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.898
Minimum0
Maximum12550
Zeros19
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:46.827798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median32.5
Q3101.25
95-th percentile501.15
Maximum12550
Range12550
Interquartile range (IQR)92.25

Descriptive statistics

Standard deviation646.77625
Coefficient of variation (CV)4.2579643
Kurtosis274.31011
Mean151.898
Median Absolute Deviation (MAD)28.5
Skewness15.002068
Sum75949
Variance418319.52
MonotonicityNot monotonic
2023-12-10T23:55:47.511393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
3.8%
3 18
 
3.6%
1 15
 
3.0%
2 12
 
2.4%
6 11
 
2.2%
11 11
 
2.2%
5 11
 
2.2%
9 11
 
2.2%
7 10
 
2.0%
4 10
 
2.0%
Other values (191) 372
74.4%
ValueCountFrequency (%)
0 19
3.8%
1 15
3.0%
2 12
2.4%
3 18
3.6%
4 10
2.0%
5 11
2.2%
6 11
2.2%
7 10
2.0%
8 9
1.8%
9 11
2.2%
ValueCountFrequency (%)
12550 1
0.2%
3375 1
0.2%
3100 1
0.2%
2838 1
0.2%
2472 1
0.2%
2308 1
0.2%
1811 1
0.2%
1239 1
0.2%
1238 1
0.2%
1084 1
0.2%
Distinct274
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean363.006
Minimum0
Maximum23719
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:47.769881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q120
median73
Q3268
95-th percentile1515.35
Maximum23719
Range23719
Interquartile range (IQR)248

Descriptive statistics

Standard deviation1299.3182
Coefficient of variation (CV)3.5793299
Kurtosis215.25564
Mean363.006
Median Absolute Deviation (MAD)65
Skewness12.902948
Sum181503
Variance1688227.8
MonotonicityNot monotonic
2023-12-10T23:55:48.023956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 11
 
2.2%
2 10
 
2.0%
7 10
 
2.0%
3 10
 
2.0%
20 9
 
1.8%
4 8
 
1.6%
5 8
 
1.6%
8 8
 
1.6%
51 7
 
1.4%
6 7
 
1.4%
Other values (264) 412
82.4%
ValueCountFrequency (%)
0 2
 
0.4%
1 4
 
0.8%
2 10
2.0%
3 10
2.0%
4 8
1.6%
5 8
1.6%
6 7
1.4%
7 10
2.0%
8 8
1.6%
9 5
1.0%
ValueCountFrequency (%)
23719 1
0.2%
9517 1
0.2%
5158 1
0.2%
4990 1
0.2%
4591 1
0.2%
4378 1
0.2%
3556 1
0.2%
3359 1
0.2%
3202 1
0.2%
3156 1
0.2%
Distinct278
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean363.606
Minimum0
Maximum15649
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:48.245429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q123
median79.5
Q3259.5
95-th percentile1450.35
Maximum15649
Range15649
Interquartile range (IQR)236.5

Descriptive statistics

Standard deviation1170.385
Coefficient of variation (CV)3.2188275
Kurtosis98.882828
Mean363.606
Median Absolute Deviation (MAD)68.5
Skewness8.8352682
Sum181803
Variance1369801
MonotonicityNot monotonic
2023-12-10T23:55:48.479637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 11
 
2.2%
7 9
 
1.8%
3 9
 
1.8%
10 8
 
1.6%
1 8
 
1.6%
5 7
 
1.4%
4 7
 
1.4%
41 7
 
1.4%
28 7
 
1.4%
22 6
 
1.2%
Other values (268) 421
84.2%
ValueCountFrequency (%)
0 2
 
0.4%
1 8
1.6%
2 11
2.2%
3 9
1.8%
4 7
1.4%
5 7
1.4%
6 3
 
0.6%
7 9
1.8%
8 5
1.0%
9 3
 
0.6%
ValueCountFrequency (%)
15649 1
0.2%
14095 1
0.2%
6526 1
0.2%
5951 1
0.2%
4910 1
0.2%
4878 1
0.2%
4332 1
0.2%
3820 1
0.2%
3482 1
0.2%
3377 1
0.2%
Distinct284
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean355.058
Minimum0
Maximum19902
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:48.787752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q121.75
median82
Q3290.25
95-th percentile1418.35
Maximum19902
Range19902
Interquartile range (IQR)268.5

Descriptive statistics

Standard deviation1102.3296
Coefficient of variation (CV)3.1046465
Kurtosis202.30758
Mean355.058
Median Absolute Deviation (MAD)74
Skewness12.291233
Sum177529
Variance1215130.5
MonotonicityNot monotonic
2023-12-10T23:55:49.028859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 14
 
2.8%
4 9
 
1.8%
11 9
 
1.8%
5 9
 
1.8%
48 8
 
1.6%
26 8
 
1.6%
8 7
 
1.4%
3 7
 
1.4%
6 7
 
1.4%
15 7
 
1.4%
Other values (274) 415
83.0%
ValueCountFrequency (%)
0 1
 
0.2%
1 6
1.2%
2 14
2.8%
3 7
1.4%
4 9
1.8%
5 9
1.8%
6 7
1.4%
7 6
1.2%
8 7
1.4%
9 5
 
1.0%
ValueCountFrequency (%)
19902 1
0.2%
6538 1
0.2%
6246 1
0.2%
4176 1
0.2%
4121 1
0.2%
3374 1
0.2%
3353 1
0.2%
3305 1
0.2%
3013 1
0.2%
2432 1
0.2%
Distinct277
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean379.848
Minimum0
Maximum28094
Zeros2
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:49.297520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q121.75
median90
Q3266.25
95-th percentile1210.05
Maximum28094
Range28094
Interquartile range (IQR)244.5

Descriptive statistics

Standard deviation1488.7956
Coefficient of variation (CV)3.919451
Kurtosis244.62943
Mean379.848
Median Absolute Deviation (MAD)81
Skewness13.937255
Sum189924
Variance2216512.4
MonotonicityNot monotonic
2023-12-10T23:55:49.512574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 10
 
2.0%
3 10
 
2.0%
9 9
 
1.8%
6 9
 
1.8%
5 9
 
1.8%
11 9
 
1.8%
4 8
 
1.6%
2 7
 
1.4%
7 7
 
1.4%
34 6
 
1.2%
Other values (267) 416
83.2%
ValueCountFrequency (%)
0 2
 
0.4%
1 10
2.0%
2 7
1.4%
3 10
2.0%
4 8
1.6%
5 9
1.8%
6 9
1.8%
7 7
1.4%
8 6
1.2%
9 9
1.8%
ValueCountFrequency (%)
28094 1
0.2%
8738 1
0.2%
6787 1
0.2%
6261 1
0.2%
5502 1
0.2%
5176 1
0.2%
4791 1
0.2%
4219 1
0.2%
3455 1
0.2%
3039 1
0.2%
Distinct274
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278.414
Minimum0
Maximum6894
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:49.743075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q125.75
median91
Q3256
95-th percentile1238.2
Maximum6894
Range6894
Interquartile range (IQR)230.25

Descriptive statistics

Standard deviation609.40856
Coefficient of variation (CV)2.1888575
Kurtosis42.161377
Mean278.414
Median Absolute Deviation (MAD)78.5
Skewness5.5734822
Sum139207
Variance371378.79
MonotonicityNot monotonic
2023-12-10T23:55:50.005780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 13
 
2.6%
6 11
 
2.2%
3 10
 
2.0%
53 8
 
1.6%
11 7
 
1.4%
14 7
 
1.4%
17 7
 
1.4%
35 7
 
1.4%
9 6
 
1.2%
43 6
 
1.2%
Other values (264) 418
83.6%
ValueCountFrequency (%)
0 1
 
0.2%
1 6
1.2%
2 5
 
1.0%
3 10
2.0%
4 13
2.6%
5 6
1.2%
6 11
2.2%
7 5
 
1.0%
8 6
1.2%
9 6
1.2%
ValueCountFrequency (%)
6894 1
0.2%
4430 1
0.2%
4352 1
0.2%
4101 1
0.2%
4063 1
0.2%
2739 1
0.2%
2666 1
0.2%
2284 1
0.2%
2272 1
0.2%
2095 1
0.2%
Distinct275
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean357.332
Minimum0
Maximum23587
Zeros4
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:50.299295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q124
median86
Q3278.25
95-th percentile992.4
Maximum23587
Range23587
Interquartile range (IQR)254.25

Descriptive statistics

Standard deviation1455.6652
Coefficient of variation (CV)4.0737051
Kurtosis161.89052
Mean357.332
Median Absolute Deviation (MAD)76
Skewness11.756052
Sum178666
Variance2118961.1
MonotonicityNot monotonic
2023-12-10T23:55:50.543867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 11
 
2.2%
4 9
 
1.8%
22 9
 
1.8%
3 9
 
1.8%
5 9
 
1.8%
33 7
 
1.4%
8 7
 
1.4%
9 6
 
1.2%
23 6
 
1.2%
1 6
 
1.2%
Other values (265) 421
84.2%
ValueCountFrequency (%)
0 4
0.8%
1 6
1.2%
2 5
1.0%
3 9
1.8%
4 9
1.8%
5 9
1.8%
6 6
1.2%
7 2
 
0.4%
8 7
1.4%
9 6
1.2%
ValueCountFrequency (%)
23587 1
0.2%
16019 1
0.2%
9903 1
0.2%
8637 1
0.2%
4233 1
0.2%
3882 1
0.2%
3845 1
0.2%
3645 1
0.2%
2662 1
0.2%
2209 1
0.2%

토요일매출건수합(COUNT_W7)
Real number (ℝ)

ZEROS 

Distinct257
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255.838
Minimum0
Maximum15050
Zeros24
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:50.780558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median55
Q3244
95-th percentile919.15
Maximum15050
Range15050
Interquartile range (IQR)234

Descriptive statistics

Standard deviation876.74353
Coefficient of variation (CV)3.426948
Kurtosis180.64599
Mean255.838
Median Absolute Deviation (MAD)52
Skewness12.06804
Sum127919
Variance768679.21
MonotonicityNot monotonic
2023-12-10T23:55:51.031632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24
 
4.8%
1 16
 
3.2%
3 16
 
3.2%
2 13
 
2.6%
4 11
 
2.2%
10 9
 
1.8%
7 9
 
1.8%
8 9
 
1.8%
5 9
 
1.8%
6 8
 
1.6%
Other values (247) 376
75.2%
ValueCountFrequency (%)
0 24
4.8%
1 16
3.2%
2 13
2.6%
3 16
3.2%
4 11
2.2%
5 9
 
1.8%
6 8
 
1.6%
7 9
 
1.8%
8 9
 
1.8%
9 2
 
0.4%
ValueCountFrequency (%)
15050 1
0.2%
8270 1
0.2%
6312 1
0.2%
2670 1
0.2%
2485 1
0.2%
2329 1
0.2%
2326 1
0.2%
2072 1
0.2%
1788 1
0.2%
1655 1
0.2%

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

SKEWED  ZEROS 

Distinct151
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.9
Minimum0
Maximum10914
Zeros150
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:51.287783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q363.75
95-th percentile325.2
Maximum10914
Range10914
Interquartile range (IQR)63.75

Descriptive statistics

Standard deviation502.77408
Coefficient of variation (CV)5.853016
Kurtosis433.43281
Mean85.9
Median Absolute Deviation (MAD)10
Skewness20.159407
Sum42950
Variance252781.77
MonotonicityNot monotonic
2023-12-10T23:55:51.509436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 150
30.0%
1 28
 
5.6%
2 14
 
2.8%
8 11
 
2.2%
7 10
 
2.0%
5 9
 
1.8%
3 8
 
1.6%
11 8
 
1.6%
18 8
 
1.6%
15 8
 
1.6%
Other values (141) 246
49.2%
ValueCountFrequency (%)
0 150
30.0%
1 28
 
5.6%
2 14
 
2.8%
3 8
 
1.6%
4 7
 
1.4%
5 9
 
1.8%
6 5
 
1.0%
7 10
 
2.0%
8 11
 
2.2%
9 6
 
1.2%
ValueCountFrequency (%)
10914 1
0.2%
1177 1
0.2%
940 1
0.2%
898 1
0.2%
676 1
0.2%
620 1
0.2%
619 1
0.2%
600 1
0.2%
580 1
0.2%
510 1
0.2%
Distinct221
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.37
Minimum0
Maximum21523
Zeros35
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:51.756709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median39.5
Q3164
95-th percentile830
Maximum21523
Range21523
Interquartile range (IQR)158

Descriptive statistics

Standard deviation1565.3008
Coefficient of variation (CV)5.2638155
Kurtosis140.69369
Mean297.37
Median Absolute Deviation (MAD)38.5
Skewness11.398872
Sum148685
Variance2450166.7
MonotonicityNot monotonic
2023-12-10T23:55:52.018660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
 
7.0%
1 24
 
4.8%
3 22
 
4.4%
4 16
 
3.2%
5 14
 
2.8%
2 13
 
2.6%
7 11
 
2.2%
6 11
 
2.2%
15 9
 
1.8%
10 7
 
1.4%
Other values (211) 338
67.6%
ValueCountFrequency (%)
0 35
7.0%
1 24
4.8%
2 13
 
2.6%
3 22
4.4%
4 16
3.2%
5 14
 
2.8%
6 11
 
2.2%
7 11
 
2.2%
8 7
 
1.4%
9 6
 
1.2%
ValueCountFrequency (%)
21523 1
0.2%
20583 1
0.2%
15326 1
0.2%
6052 1
0.2%
5295 1
0.2%
3927 1
0.2%
3025 1
0.2%
2653 1
0.2%
2629 1
0.2%
2128 1
0.2%
Distinct301
Distinct (%)60.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409.382
Minimum0
Maximum16595
Zeros5
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:52.254556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q129
median124
Q3345.75
95-th percentile1614.25
Maximum16595
Range16595
Interquartile range (IQR)316.75

Descriptive statistics

Standard deviation1142.238
Coefficient of variation (CV)2.790152
Kurtosis94.54016
Mean409.382
Median Absolute Deviation (MAD)110
Skewness8.3630209
Sum204691
Variance1304707.7
MonotonicityNot monotonic
2023-12-10T23:55:52.461325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 10
 
2.0%
13 8
 
1.6%
12 8
 
1.6%
31 7
 
1.4%
10 7
 
1.4%
7 7
 
1.4%
5 6
 
1.2%
26 6
 
1.2%
8 6
 
1.2%
4 6
 
1.2%
Other values (291) 429
85.8%
ValueCountFrequency (%)
0 5
1.0%
1 3
 
0.6%
2 10
2.0%
3 5
1.0%
4 6
1.2%
5 6
1.2%
6 3
 
0.6%
7 7
1.4%
8 6
1.2%
9 3
 
0.6%
ValueCountFrequency (%)
16595 1
0.2%
8657 1
0.2%
7889 1
0.2%
7780 1
0.2%
6425 1
0.2%
4821 1
0.2%
4591 1
0.2%
3851 1
0.2%
3842 1
0.2%
2955 1
0.2%
Distinct321
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean511.194
Minimum0
Maximum30732
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:52.704064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q132.75
median121
Q3358.25
95-th percentile2291.85
Maximum30732
Range30732
Interquartile range (IQR)325.5

Descriptive statistics

Standard deviation1698.2673
Coefficient of variation (CV)3.3221582
Kurtosis204.61432
Mean511.194
Median Absolute Deviation (MAD)107
Skewness12.381761
Sum255597
Variance2884112
MonotonicityNot monotonic
2023-12-10T23:55:52.936676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 8
 
1.6%
3 8
 
1.6%
6 8
 
1.6%
9 7
 
1.4%
5 7
 
1.4%
34 7
 
1.4%
22 6
 
1.2%
4 6
 
1.2%
14 6
 
1.2%
18 5
 
1.0%
Other values (311) 432
86.4%
ValueCountFrequency (%)
0 3
 
0.6%
1 2
 
0.4%
2 3
 
0.6%
3 8
1.6%
4 6
1.2%
5 7
1.4%
6 8
1.6%
7 5
1.0%
8 5
1.0%
9 7
1.4%
ValueCountFrequency (%)
30732 1
0.2%
9447 1
0.2%
8800 1
0.2%
7131 1
0.2%
6390 1
0.2%
5876 1
0.2%
5761 1
0.2%
5032 1
0.2%
4577 1
0.2%
4293 1
0.2%
Distinct329
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449.622
Minimum0
Maximum13634
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:53.559754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q139
median143.5
Q3457.5
95-th percentile1744
Maximum13634
Range13634
Interquartile range (IQR)418.5

Descriptive statistics

Standard deviation1065.8394
Coefficient of variation (CV)2.3705232
Kurtosis78.622909
Mean449.622
Median Absolute Deviation (MAD)124.5
Skewness7.6416427
Sum224811
Variance1136013.6
MonotonicityNot monotonic
2023-12-10T23:55:53.837994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 7
 
1.4%
19 6
 
1.2%
5 6
 
1.2%
39 6
 
1.2%
6 6
 
1.2%
4 6
 
1.2%
36 5
 
1.0%
16 5
 
1.0%
17 5
 
1.0%
40 5
 
1.0%
Other values (319) 443
88.6%
ValueCountFrequency (%)
0 1
 
0.2%
1 2
 
0.4%
2 2
 
0.4%
3 7
1.4%
4 6
1.2%
5 6
1.2%
6 6
1.2%
7 3
0.6%
8 5
1.0%
9 4
0.8%
ValueCountFrequency (%)
13634 1
0.2%
12115 1
0.2%
6393 1
0.2%
5082 1
0.2%
5069 1
0.2%
4991 1
0.2%
4407 1
0.2%
3338 1
0.2%
3163 1
0.2%
3113 1
0.2%
Distinct250
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean246.026
Minimum0
Maximum9596
Zeros36
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:54.109911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median47
Q3209
95-th percentile1052.7
Maximum9596
Range9596
Interquartile range (IQR)203

Descriptive statistics

Standard deviation731.13753
Coefficient of variation (CV)2.9717897
Kurtosis108.40671
Mean246.026
Median Absolute Deviation (MAD)46
Skewness9.2755623
Sum123013
Variance534562.09
MonotonicityNot monotonic
2023-12-10T23:55:54.402855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 41
 
8.2%
0 36
 
7.2%
2 15
 
3.0%
3 14
 
2.8%
6 12
 
2.4%
10 9
 
1.8%
13 8
 
1.6%
8 8
 
1.6%
5 7
 
1.4%
47 6
 
1.2%
Other values (240) 344
68.8%
ValueCountFrequency (%)
0 36
7.2%
1 41
8.2%
2 15
 
3.0%
3 14
 
2.8%
4 6
 
1.2%
5 7
 
1.4%
6 12
 
2.4%
7 5
 
1.0%
8 8
 
1.6%
9 4
 
0.8%
ValueCountFrequency (%)
9596 1
0.2%
9528 1
0.2%
4749 1
0.2%
3586 1
0.2%
2718 1
0.2%
2150 1
0.2%
1840 1
0.2%
1800 1
0.2%
1775 1
0.2%
1770 1
0.2%
Distinct50
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.396
Minimum0
Maximum379
Zeros311
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:54.647409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile36
Maximum379
Range379
Interquartile range (IQR)4

Descriptive statistics

Standard deviation25.281168
Coefficient of variation (CV)3.4182218
Kurtosis107.57933
Mean7.396
Median Absolute Deviation (MAD)0
Skewness8.8067504
Sum3698
Variance639.13746
MonotonicityNot monotonic
2023-12-10T23:55:54.913695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 311
62.2%
2 45
 
9.0%
4 23
 
4.6%
6 13
 
2.6%
8 11
 
2.2%
10 8
 
1.6%
7 7
 
1.4%
5 6
 
1.2%
12 5
 
1.0%
3 4
 
0.8%
Other values (40) 67
 
13.4%
ValueCountFrequency (%)
0 311
62.2%
2 45
 
9.0%
3 4
 
0.8%
4 23
 
4.6%
5 6
 
1.2%
6 13
 
2.6%
7 7
 
1.4%
8 11
 
2.2%
9 2
 
0.4%
10 8
 
1.6%
ValueCountFrequency (%)
379 1
0.2%
229 1
0.2%
132 1
0.2%
125 1
0.2%
105 1
0.2%
96 1
0.2%
90 1
0.2%
83 1
0.2%
72 2
0.4%
71 2
0.4%
Distinct138
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.6
Minimum0
Maximum9349
Zeros145
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:55.174479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q345.25
95-th percentile281.2
Maximum9349
Range9349
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation476.27883
Coefficient of variation (CV)5.564005
Kurtosis291.35165
Mean85.6
Median Absolute Deviation (MAD)8
Skewness15.691063
Sum42800
Variance226841.52
MonotonicityNot monotonic
2023-12-10T23:55:55.453163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145
29.0%
2 43
 
8.6%
4 32
 
6.4%
6 15
 
3.0%
8 14
 
2.8%
10 12
 
2.4%
16 9
 
1.8%
3 8
 
1.6%
18 7
 
1.4%
12 5
 
1.0%
Other values (128) 210
42.0%
ValueCountFrequency (%)
0 145
29.0%
2 43
 
8.6%
3 8
 
1.6%
4 32
 
6.4%
5 3
 
0.6%
6 15
 
3.0%
7 2
 
0.4%
8 14
 
2.8%
9 5
 
1.0%
10 12
 
2.4%
ValueCountFrequency (%)
9349 1
0.2%
2649 1
0.2%
2443 1
0.2%
2244 1
0.2%
1578 1
0.2%
1245 1
0.2%
977 1
0.2%
968 1
0.2%
914 1
0.2%
803 1
0.2%
Distinct158
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.022
Minimum0
Maximum14181
Zeros88
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:55.710217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q365.5
95-th percentile343.3
Maximum14181
Range14181
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation690.38994
Coefficient of variation (CV)6.1084562
Kurtosis348.96841
Mean113.022
Median Absolute Deviation (MAD)12
Skewness17.56907
Sum56511
Variance476638.27
MonotonicityNot monotonic
2023-12-10T23:55:55.967439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
 
17.6%
2 45
 
9.0%
4 30
 
6.0%
8 20
 
4.0%
12 16
 
3.2%
6 15
 
3.0%
10 13
 
2.6%
5 11
 
2.2%
15 7
 
1.4%
11 7
 
1.4%
Other values (148) 248
49.6%
ValueCountFrequency (%)
0 88
17.6%
2 45
9.0%
3 5
 
1.0%
4 30
 
6.0%
5 11
 
2.2%
6 15
 
3.0%
7 7
 
1.4%
8 20
 
4.0%
9 6
 
1.2%
10 13
 
2.6%
ValueCountFrequency (%)
14181 1
0.2%
3419 1
0.2%
3215 1
0.2%
2549 1
0.2%
1707 1
0.2%
1286 1
0.2%
1211 1
0.2%
892 1
0.2%
841 1
0.2%
799 1
0.2%
Distinct140
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.328
Minimum0
Maximum4896
Zeros71
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:56.238538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median14
Q350
95-th percentile338.25
Maximum4896
Range4896
Interquartile range (IQR)47

Descriptive statistics

Standard deviation298.34401
Coefficient of variation (CV)3.90871
Kurtosis165.37738
Mean76.328
Median Absolute Deviation (MAD)14
Skewness11.665716
Sum38164
Variance89009.151
MonotonicityNot monotonic
2023-12-10T23:55:56.521405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
 
14.2%
2 50
 
10.0%
6 30
 
6.0%
4 27
 
5.4%
8 13
 
2.6%
10 13
 
2.6%
12 12
 
2.4%
14 10
 
2.0%
25 8
 
1.6%
20 7
 
1.4%
Other values (130) 259
51.8%
ValueCountFrequency (%)
0 71
14.2%
2 50
10.0%
3 5
 
1.0%
4 27
 
5.4%
5 4
 
0.8%
6 30
6.0%
7 4
 
0.8%
8 13
 
2.6%
9 7
 
1.4%
10 13
 
2.6%
ValueCountFrequency (%)
4896 1
0.2%
3296 1
0.2%
1560 1
0.2%
1535 1
0.2%
837 1
0.2%
799 1
0.2%
743 1
0.2%
676 1
0.2%
627 1
0.2%
528 1
0.2%
Distinct108
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.812
Minimum0
Maximum4855
Zeros143
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:56.788490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q324
95-th percentile171.3
Maximum4855
Range4855
Interquartile range (IQR)24

Descriptive statistics

Standard deviation246.71987
Coefficient of variation (CV)5.0544921
Kurtosis291.78953
Mean48.812
Median Absolute Deviation (MAD)6
Skewness15.577294
Sum24406
Variance60870.694
MonotonicityNot monotonic
2023-12-10T23:55:57.058083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 143
28.6%
2 59
 
11.8%
6 21
 
4.2%
4 19
 
3.8%
10 16
 
3.2%
8 14
 
2.8%
13 10
 
2.0%
14 10
 
2.0%
22 8
 
1.6%
12 7
 
1.4%
Other values (98) 193
38.6%
ValueCountFrequency (%)
0 143
28.6%
2 59
11.8%
3 7
 
1.4%
4 19
 
3.8%
5 7
 
1.4%
6 21
 
4.2%
7 4
 
0.8%
8 14
 
2.8%
9 2
 
0.4%
10 16
 
3.2%
ValueCountFrequency (%)
4855 1
0.2%
1219 1
0.2%
1135 1
0.2%
984 1
0.2%
841 1
0.2%
674 1
0.2%
666 1
0.2%
626 1
0.2%
507 1
0.2%
444 1
0.2%
Distinct91
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.804
Minimum0
Maximum6299
Zeros201
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:57.326830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313.25
95-th percentile106
Maximum6299
Range6299
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation309.18772
Coefficient of variation (CV)7.3961275
Kurtosis341.19975
Mean41.804
Median Absolute Deviation (MAD)2
Skewness17.424544
Sum20902
Variance95597.044
MonotonicityNot monotonic
2023-12-10T23:55:57.636427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 201
40.2%
2 58
 
11.6%
4 38
 
7.6%
6 22
 
4.4%
8 15
 
3.0%
10 13
 
2.6%
13 7
 
1.4%
7 6
 
1.2%
17 5
 
1.0%
5 5
 
1.0%
Other values (81) 130
26.0%
ValueCountFrequency (%)
0 201
40.2%
2 58
 
11.6%
3 4
 
0.8%
4 38
 
7.6%
5 5
 
1.0%
6 22
 
4.4%
7 6
 
1.2%
8 15
 
3.0%
9 2
 
0.4%
10 13
 
2.6%
ValueCountFrequency (%)
6299 1
0.2%
1998 1
0.2%
1128 1
0.2%
1032 1
0.2%
1016 1
0.2%
586 1
0.2%
441 1
0.2%
362 1
0.2%
338 1
0.2%
315 1
0.2%
Distinct417
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean990.798
Minimum26
Maximum53476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:57.922051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile100
Q1253.75
median484.5
Q3930.75
95-th percentile2886.8
Maximum53476
Range53450
Interquartile range (IQR)677

Descriptive statistics

Standard deviation2737.7883
Coefficient of variation (CV)2.7632154
Kurtosis274.82073
Mean990.798
Median Absolute Deviation (MAD)290
Skewness14.954682
Sum495399
Variance7495485
MonotonicityNot monotonic
2023-12-10T23:55:58.190010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
253 3
 
0.6%
100 3
 
0.6%
254 3
 
0.6%
646 3
 
0.6%
153 3
 
0.6%
137 3
 
0.6%
156 3
 
0.6%
221 3
 
0.6%
455 3
 
0.6%
225 3
 
0.6%
Other values (407) 470
94.0%
ValueCountFrequency (%)
26 1
0.2%
27 1
0.2%
36 1
0.2%
48 2
0.4%
52 1
0.2%
56 1
0.2%
57 2
0.4%
63 1
0.2%
64 2
0.4%
66 1
0.2%
ValueCountFrequency (%)
53476 1
0.2%
18263 1
0.2%
9943 1
0.2%
8480 1
0.2%
8041 1
0.2%
7144 1
0.2%
6746 1
0.2%
6658 1
0.2%
5938 1
0.2%
5637 1
0.2%
Distinct5
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
435 
1
52 
2
 
6
3
 
6
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
0 435
87.0%
1 52
 
10.4%
2 6
 
1.2%
3 6
 
1.2%
4 1
 
0.2%

Length

2023-12-10T23:55:58.413862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:55:58.624506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 435
87.0%
1 52
 
10.4%
2 6
 
1.2%
3 6
 
1.2%
4 1
 
0.2%
Distinct14
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.932
Minimum0
Maximum18
Zeros284
Zeros (%)56.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:58.805762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8661031
Coefficient of variation (CV)2.0022565
Kurtosis33.441847
Mean0.932
Median Absolute Deviation (MAD)0
Skewness4.8476578
Sum466
Variance3.4823407
MonotonicityNot monotonic
2023-12-10T23:55:59.039928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 284
56.8%
1 115
23.0%
2 54
 
10.8%
3 20
 
4.0%
4 11
 
2.2%
6 4
 
0.8%
5 3
 
0.6%
8 2
 
0.4%
7 2
 
0.4%
9 1
 
0.2%
Other values (4) 4
 
0.8%
ValueCountFrequency (%)
0 284
56.8%
1 115
23.0%
2 54
 
10.8%
3 20
 
4.0%
4 11
 
2.2%
5 3
 
0.6%
6 4
 
0.8%
7 2
 
0.4%
8 2
 
0.4%
9 1
 
0.2%
ValueCountFrequency (%)
18 1
 
0.2%
17 1
 
0.2%
15 1
 
0.2%
11 1
 
0.2%
9 1
 
0.2%
8 2
 
0.4%
7 2
 
0.4%
6 4
 
0.8%
5 3
 
0.6%
4 11
2.2%
Distinct14
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.276
Minimum0
Maximum64
Zeros242
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:59.250314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4.05
Maximum64
Range64
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.6516425
Coefficient of variation (CV)2.8617888
Kurtosis191.2228
Mean1.276
Median Absolute Deviation (MAD)1
Skewness12.266517
Sum638
Variance13.334493
MonotonicityNot monotonic
2023-12-10T23:55:59.439846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 242
48.4%
1 135
27.0%
2 63
 
12.6%
3 23
 
4.6%
4 12
 
2.4%
5 8
 
1.6%
6 7
 
1.4%
9 3
 
0.6%
7 2
 
0.4%
64 1
 
0.2%
Other values (4) 4
 
0.8%
ValueCountFrequency (%)
0 242
48.4%
1 135
27.0%
2 63
 
12.6%
3 23
 
4.6%
4 12
 
2.4%
5 8
 
1.6%
6 7
 
1.4%
7 2
 
0.4%
8 1
 
0.2%
9 3
 
0.6%
ValueCountFrequency (%)
64 1
 
0.2%
36 1
 
0.2%
17 1
 
0.2%
12 1
 
0.2%
9 3
 
0.6%
8 1
 
0.2%
7 2
 
0.4%
6 7
1.4%
5 8
1.6%
4 12
2.4%
Distinct20
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.36
Minimum0
Maximum185
Zeros171
Zeros (%)34.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:55:59.647042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile8
Maximum185
Range185
Interquartile range (IQR)2

Descriptive statistics

Standard deviation9.3198777
Coefficient of variation (CV)3.9491007
Kurtosis301.54022
Mean2.36
Median Absolute Deviation (MAD)1
Skewness16.031113
Sum1180
Variance86.86012
MonotonicityNot monotonic
2023-12-10T23:55:59.888967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 171
34.2%
1 158
31.6%
2 76
15.2%
3 26
 
5.2%
4 18
 
3.6%
5 16
 
3.2%
8 5
 
1.0%
7 5
 
1.0%
9 5
 
1.0%
10 4
 
0.8%
Other values (10) 16
 
3.2%
ValueCountFrequency (%)
0 171
34.2%
1 158
31.6%
2 76
15.2%
3 26
 
5.2%
4 18
 
3.6%
5 16
 
3.2%
6 4
 
0.8%
7 5
 
1.0%
8 5
 
1.0%
9 5
 
1.0%
ValueCountFrequency (%)
185 1
 
0.2%
68 1
 
0.2%
29 1
 
0.2%
27 1
 
0.2%
25 1
 
0.2%
21 2
0.4%
20 1
 
0.2%
16 2
0.4%
14 2
0.4%
10 4
0.8%
Distinct18
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.562
Minimum0
Maximum25
Zeros192
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:56:00.153107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum25
Range25
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6638973
Coefficient of variation (CV)1.70544
Kurtosis27.979841
Mean1.562
Median Absolute Deviation (MAD)1
Skewness4.4811587
Sum781
Variance7.0963487
MonotonicityNot monotonic
2023-12-10T23:56:00.388404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 192
38.4%
1 150
30.0%
2 72
 
14.4%
3 32
 
6.4%
4 20
 
4.0%
5 7
 
1.4%
8 6
 
1.2%
7 6
 
1.2%
6 4
 
0.8%
9 2
 
0.4%
Other values (8) 9
 
1.8%
ValueCountFrequency (%)
0 192
38.4%
1 150
30.0%
2 72
 
14.4%
3 32
 
6.4%
4 20
 
4.0%
5 7
 
1.4%
6 4
 
0.8%
7 6
 
1.2%
8 6
 
1.2%
9 2
 
0.4%
ValueCountFrequency (%)
25 1
 
0.2%
22 1
 
0.2%
20 1
 
0.2%
19 1
 
0.2%
14 1
 
0.2%
13 1
 
0.2%
11 1
 
0.2%
10 2
 
0.4%
9 2
 
0.4%
8 6
1.2%
Distinct12
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.108
Minimum0
Maximum21
Zeros228
Zeros (%)45.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:56:00.590692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8240038
Coefficient of variation (CV)1.6462128
Kurtosis34.77849
Mean1.108
Median Absolute Deviation (MAD)1
Skewness4.5501634
Sum554
Variance3.32699
MonotonicityNot monotonic
2023-12-10T23:56:00.809042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 228
45.6%
1 152
30.4%
2 64
 
12.8%
3 23
 
4.6%
4 13
 
2.6%
5 7
 
1.4%
8 3
 
0.6%
7 3
 
0.6%
6 3
 
0.6%
12 2
 
0.4%
Other values (2) 2
 
0.4%
ValueCountFrequency (%)
0 228
45.6%
1 152
30.4%
2 64
 
12.8%
3 23
 
4.6%
4 13
 
2.6%
5 7
 
1.4%
6 3
 
0.6%
7 3
 
0.6%
8 3
 
0.6%
10 1
 
0.2%
ValueCountFrequency (%)
21 1
 
0.2%
12 2
 
0.4%
10 1
 
0.2%
8 3
 
0.6%
7 3
 
0.6%
6 3
 
0.6%
5 7
 
1.4%
4 13
 
2.6%
3 23
 
4.6%
2 64
12.8%
Distinct11
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.812
Minimum0
Maximum22
Zeros275
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:56:01.014835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum22
Range22
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5942834
Coefficient of variation (CV)1.9634032
Kurtosis68.277445
Mean0.812
Median Absolute Deviation (MAD)0
Skewness6.3995776
Sum406
Variance2.5417395
MonotonicityNot monotonic
2023-12-10T23:56:01.198899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 275
55.0%
1 147
29.4%
2 41
 
8.2%
3 18
 
3.6%
4 7
 
1.4%
5 5
 
1.0%
6 2
 
0.4%
9 2
 
0.4%
7 1
 
0.2%
11 1
 
0.2%
ValueCountFrequency (%)
0 275
55.0%
1 147
29.4%
2 41
 
8.2%
3 18
 
3.6%
4 7
 
1.4%
5 5
 
1.0%
6 2
 
0.4%
7 1
 
0.2%
9 2
 
0.4%
11 1
 
0.2%
ValueCountFrequency (%)
22 1
 
0.2%
11 1
 
0.2%
9 2
 
0.4%
7 1
 
0.2%
6 2
 
0.4%
5 5
 
1.0%
4 7
 
1.4%
3 18
 
3.6%
2 41
 
8.2%
1 147
29.4%
Distinct29
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.958
Minimum0
Maximum69
Zeros37
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:56:01.416541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile16
Maximum69
Range69
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.6646133
Coefficient of variation (CV)1.3442141
Kurtosis33.746025
Mean4.958
Median Absolute Deviation (MAD)2
Skewness4.7846017
Sum2479
Variance44.41707
MonotonicityNot monotonic
2023-12-10T23:56:02.053553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 91
18.2%
1 84
16.8%
3 67
13.4%
5 45
9.0%
4 39
7.8%
0 37
7.4%
6 27
 
5.4%
7 23
 
4.6%
8 15
 
3.0%
10 12
 
2.4%
Other values (19) 60
12.0%
ValueCountFrequency (%)
0 37
7.4%
1 84
16.8%
2 91
18.2%
3 67
13.4%
4 39
7.8%
5 45
9.0%
6 27
 
5.4%
7 23
 
4.6%
8 15
 
3.0%
9 10
 
2.0%
ValueCountFrequency (%)
69 1
0.2%
61 1
0.2%
51 1
0.2%
44 1
0.2%
32 1
0.2%
30 1
0.2%
25 1
0.2%
24 2
0.4%
23 2
0.4%
22 1
0.2%

Sample

기준년월(YMD)집계구코드(TOT_OA_CD)대분류업종코드(SVC_L_CD)대분류업종명(SVC_L_NM)당월가맹점수(BUSIN_CNT)법인매출금액합(CASH_COMP)남성매출금액합(CASH_MAN)여성매출금액합(CASH_WOMAN)10대매출금액의합(CASH_AGE10)20대매출금액의합(CASH_AGE20)30대매출금액의합(CASH_AGE30)40대매출금액의합(CASH_AGE40)50대매출금액의합(CASH_AGE50)60대매출금액의합(CASH_AGE60)일요일매출금액합(CASH_W1)월요일매출금액합(CASH_W2)화요일매출금액합(CASH_W3)수요일매출금액합(CASH_W4)목요일매출금액합(CASH_W5)금요일매출금액합(CASH_W6)토요일매출금액합(CASH_W7)시간1매출금액합(00:00~06:00)(CASH_T1)시간2매출금액합(06:01~11:00)(CASH_T2)시간3매출금액합(11:01~14:00)(CASH_T3)시간4매출금액합(14:01~17:00)(CASH_T4)시간5매출금액합(17:01~21:00)(CASH_T5)시간6매출금액합(21:01~24:00)(CASH_T6)법인매출건수합(COUNT_COMP)남성매출건수합(COUNT_MAN)여성매출건수합(COUNT_WOMAN)10대매출건수의합(COUNT_AGE10)20대매출건수의합(COUNT_AGE20)30대매출건수의합(COUNT_AGE30)40대매출건수의합(COUNT_AGE40)50대매출건수의합(COUNT_AGE50)60대매출건수의합(COUNT_AGE60)일요일매출건수합(COUNT_W1)월요일매출건수합(COUNT_W2)화요일매출건수합(COUNT_W3)수요일매출건수합(COUNT_W4)목요일매출건수합(COUNT_W5)금요일매출건수합(COUNT_W6)토요일매출건수합(COUNT_W7)시간1매출건수합(00:00~06:00)(COUNT_T1)시간2매출건수합(06:01~11:00)(COUNT_T2)시간3매출건수합(11:01~14:00)(COUNT_T3)시간4매출건수합(14:01~17:00)(COUNT_T4)시간5매출건수합(17:01~21:00)(COUNT_T5)시간6매출건수합(21:01~24:00)(COUNT_T6)10대재방문매출건수의합(REVISIT_COUNT10)20대재방문매출건수의합(REVISIT_COUNT20)30대재방문매출건수의합(REVISIT_COUNT30)40대재방문매출건수의합(REVISIT_COUNT40)50대재방문매출건수의합(REVISIT_COUNT50)60대재방문매출건수의합(REVISIT_COUNT60)가맹점영업개월수의합(BUSIN_SUM_MUN)영업개월수별가맹점수당월개업(COUNT_OPEN_MUN)영업개월수별가맹점수6개월미만(COUNT_06_MUN)영업개월수별가맹점수6개월~1년미만(COUNT_01_YEAR)영업개월수별가맹점수1년~2년미만(COUNT_02_YEAR)영업개월수별가맹점수2년~3년미만(COUNT_03_YEAR)영업개월수별가맹점수3년~4년미만(COUNT_04_YEAR)영업대월수별가맹점수4년~5년미만(COUNT_05_YEAR)영업개월수별가맹점수5년이상(COUNT_05_YEAR_OVER)
02015041107052010001SD외식업161074100862303322003235035600014615003170004757000391681027257106490011702100206060010162420125409017584004520000008594820564344096213302800001622326255058163414140237032616294495360539920433061290025312110004
12014081109065030010SQ도소매업8410001477220043487003205005597005539005722500124060046105601531121035860003005350211635001376100830000330000024327002582600598689063257701161000161814605408623452329911805242181693649115141814801610514038002221102
22014041123076040001SF도소매업266945203541075832977154811489001170003132374079250019441350258501721300325000013515001018070032767365574470004474507798670463399010442280294010027638211017928314273113945915341844435803470339106101190020087409028000
32015021116069020019SD외식업6144550030290680193581100268000425091043472300673000297261010264004201500242700029369001011568047770017000120006886650255855692750095200335409181211665666314286731110550620825101413215231281712305001835131055900000013
42015051124065010008SD외식업8811710038744802098732905190010500016100004042810312900194000686051019151407886000852000710380034289401300007650001029006551408026890005536500294900013303901196439730849222457421948596144854302502411413111643306340067301023101
52016031124067020018SD도소매업8071255860527261045001763806045835001628282035200022598460177900060820016038902208738048199001343700113168022525001202960587500486348017290008572001483501448126136197391842903165342022101015057476700641182026163210022014
62015031112056020008SQ외식업683097536538316730177903100013759740301217195826500660300817320495000775323438100067500080725004277350050480016581603445001700000559341004567000144552002148516731281981081628127601130371147110171124341280024152218039703030103
72015061125065010001SF서비스업8901900680400012009003460032783028624630407279801022300030525050890048990067522094551155086110500000100001062300310000106250011477900215220013730001045021013634214481208332171041514196321191917777210442417055800540005
82016011106080050001SF외식업7056129403671007965021200601786080044249508102003801300651000175075013605003015217024460094114405710008120002220003720010065003435000795467016646244533663862141901121813832427653986762888821380914400210001
92016061123052030021SF서비스업406852500410354070002780006327580443512441315158031830028671001394478058530098939102203058517288702057650500002520450431840075115601014551600393918131065144947133593827761111700112976125130265521912300000122
기준년월(YMD)집계구코드(TOT_OA_CD)대분류업종코드(SVC_L_CD)대분류업종명(SVC_L_NM)당월가맹점수(BUSIN_CNT)법인매출금액합(CASH_COMP)남성매출금액합(CASH_MAN)여성매출금액합(CASH_WOMAN)10대매출금액의합(CASH_AGE10)20대매출금액의합(CASH_AGE20)30대매출금액의합(CASH_AGE30)40대매출금액의합(CASH_AGE40)50대매출금액의합(CASH_AGE50)60대매출금액의합(CASH_AGE60)일요일매출금액합(CASH_W1)월요일매출금액합(CASH_W2)화요일매출금액합(CASH_W3)수요일매출금액합(CASH_W4)목요일매출금액합(CASH_W5)금요일매출금액합(CASH_W6)토요일매출금액합(CASH_W7)시간1매출금액합(00:00~06:00)(CASH_T1)시간2매출금액합(06:01~11:00)(CASH_T2)시간3매출금액합(11:01~14:00)(CASH_T3)시간4매출금액합(14:01~17:00)(CASH_T4)시간5매출금액합(17:01~21:00)(CASH_T5)시간6매출금액합(21:01~24:00)(CASH_T6)법인매출건수합(COUNT_COMP)남성매출건수합(COUNT_MAN)여성매출건수합(COUNT_WOMAN)10대매출건수의합(COUNT_AGE10)20대매출건수의합(COUNT_AGE20)30대매출건수의합(COUNT_AGE30)40대매출건수의합(COUNT_AGE40)50대매출건수의합(COUNT_AGE50)60대매출건수의합(COUNT_AGE60)일요일매출건수합(COUNT_W1)월요일매출건수합(COUNT_W2)화요일매출건수합(COUNT_W3)수요일매출건수합(COUNT_W4)목요일매출건수합(COUNT_W5)금요일매출건수합(COUNT_W6)토요일매출건수합(COUNT_W7)시간1매출건수합(00:00~06:00)(COUNT_T1)시간2매출건수합(06:01~11:00)(COUNT_T2)시간3매출건수합(11:01~14:00)(COUNT_T3)시간4매출건수합(14:01~17:00)(COUNT_T4)시간5매출건수합(17:01~21:00)(COUNT_T5)시간6매출건수합(21:01~24:00)(COUNT_T6)10대재방문매출건수의합(REVISIT_COUNT10)20대재방문매출건수의합(REVISIT_COUNT20)30대재방문매출건수의합(REVISIT_COUNT30)40대재방문매출건수의합(REVISIT_COUNT40)50대재방문매출건수의합(REVISIT_COUNT50)60대재방문매출건수의합(REVISIT_COUNT60)가맹점영업개월수의합(BUSIN_SUM_MUN)영업개월수별가맹점수당월개업(COUNT_OPEN_MUN)영업개월수별가맹점수6개월미만(COUNT_06_MUN)영업개월수별가맹점수6개월~1년미만(COUNT_01_YEAR)영업개월수별가맹점수1년~2년미만(COUNT_02_YEAR)영업개월수별가맹점수2년~3년미만(COUNT_03_YEAR)영업개월수별가맹점수3년~4년미만(COUNT_04_YEAR)영업대월수별가맹점수4년~5년미만(COUNT_05_YEAR)영업개월수별가맹점수5년이상(COUNT_05_YEAR_OVER)
4902014031113076050005SF서비스업9859701939796048912201213009079309829109308300155083010005008785001102080092280041594306430002930001235550010624505306006410000112574002062200181437240090990401861125511721822025881303302537921240183046060800001112
4912015021104054030006SF서비스업753200412440074100004000053300068860005576920278067084002201569500395000529400138000280478021740051735038510001750540894650038411950273000304134929612491565840026482137128322261554036922780427260121034044265002220011851012
4922014061116073030008SF외식업538720005863213501046079090001440001317000833000181647031599402663210021049001840800140710025237001457500350351149000185985301678438060861204811001629435552226253162713369026424875108187183306202001143104314101111020
4932016031109063010005SQ서비스업50183646082925320413503944962078000059364001845430319820033149003248530962060580200211773407369500476400001977301605800134700068113903462661010889364023945055560113414913311168459155814327364333961012201149711016223
4942016061105060030004SF도소매업594416008111589023153003193500205085043653014675804256002200001571000182220013122350517200724700157740042474401406500120000169000143018280405719304350001243616025110775888132503209421483851729405410341211510111631051867013611001
4952016061123051020005SQ외식업4046845420958850026800105681807412800873324031967501226001488630107500354770791000107500016402301206400803000953200840280733500280001055250018455937845768343044901112795320913615023411470172352088008200134110
4962014081119073030002SQ도소매업615466028722004479225615001965110539336007854700345100615001001700365340098780069381056977100006550024618506600062810016410060495184920021116384534951853986188486110749016035168143258124202862932212891700021212
4972016031122055050006SD외식업26657300087641009319029025000234350059092204833170446345012362006587831659479016630003995100297355567572330110000838470256150252860013532310124894902121937358412633032728920927701086162421111030315108077100047404
4982016011112071050001SQ외식업46117550018727001045456921863940122800071209201202340251221059242025540551158000934720031045003031979026600025276530234008750008231400223800680058004204600812617900878534126040306133414212106053186531611002242019002100016
4992015101101061030006SD외식업701308300186010012184800117593603531900158343602158500185880016147090979545057507004110001278600112375908538860087080001889833042905009112400115564001065006361051407722342269111487856911134149401548095789082003283401000001