Overview

Dataset statistics

Number of variables64
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.9 KiB
Average record size in memory578.4 B

Variable types

Numeric62
Text2

Dataset

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

Alerts

법인매출금액합(CASH_COMP) has unique valuesUnique
남성매출금액합(CASH_MAN) has unique valuesUnique
여성매출금액합(CASH_WOMAN) has unique valuesUnique
20대매출금액의합(CASH_AGE20) has unique valuesUnique
30대매출금액의합(CASH_AGE30) has unique valuesUnique
40대매출금액의합(CASH_AGE40) has unique valuesUnique
50대매출금액의합(CASH_AGE50) has unique valuesUnique
60대매출금액의합(CASH_AGE60) has unique valuesUnique
일요일매출금액합(CASH_W1) has unique valuesUnique
월요일매출금액합(CASH_W2) has unique valuesUnique
화요일매출금액합(CASH_W3) has unique valuesUnique
수요일매출금액합(CASH_W4) has unique valuesUnique
목요일매출금액합(CASH_W5) has unique valuesUnique
금요일매출금액합(CASH_W6) has unique valuesUnique
토요일매출금액합(CASH_W7) has unique valuesUnique
시간2매출금액합(06:01~11:00)(CASH_T2) has unique valuesUnique
시간3매출금액합(11:01~14:00)(CASH_T3) has unique valuesUnique
시간4매출금액합(14:01~17:00)(CASH_T4) has unique valuesUnique
시간5매출금액합(17:01~21:00)(CASH_T5) has unique valuesUnique
시간6매출금액합(21:01~24:00)(CASH_T6) has unique valuesUnique
남성매출건수합(COUNT_MAN) has unique valuesUnique
여성매출건수합(COUNT_WOMAN) has unique valuesUnique
20대매출건수의합(COUNT_AGE20) has unique valuesUnique
30대매출건수의합(COUNT_AGE30) has unique valuesUnique
40대매출건수의합(COUNT_AGE40) has unique valuesUnique
50대매출건수의합(COUNT_AGE50) has unique valuesUnique
일요일매출건수합(COUNT_W1) has unique valuesUnique
월요일매출건수합(COUNT_W2) has unique valuesUnique
화요일매출건수합(COUNT_W3) has unique valuesUnique
수요일매출건수합(COUNT_W4) has unique valuesUnique
목요일매출건수합(COUNT_W5) has unique valuesUnique
금요일매출건수합(COUNT_W6) has unique valuesUnique
토요일매출건수합(COUNT_W7) has unique valuesUnique
시간2매출건수합(06:01~11:00)(COUNT_T2) has unique valuesUnique
시간3매출건수합(11:01~14:00)(COUNT_T3) has unique valuesUnique
시간5매출건수합(17:01~21:00)(COUNT_T5) has unique valuesUnique
시간6매출건수합(21:01~24:00)(COUNT_T6) has unique valuesUnique
가맹점영업개월수의합(BUSIN_SUM_MUN) has unique valuesUnique
법인매출금액합(CASH_COMP) has 1 (3.3%) zerosZeros
10대매출금액의합(CASH_AGE10) has 5 (16.7%) zerosZeros
시간1매출금액합(00:00~06:00)(CASH_T1) has 9 (30.0%) zerosZeros
10대매출건수의합(COUNT_AGE10) has 1 (3.3%) zerosZeros
토요일매출건수합(COUNT_W7) has 1 (3.3%) zerosZeros
시간1매출건수합(00:00~06:00)(COUNT_T1) has 6 (20.0%) zerosZeros
10대재방문매출건수의합(REVISIT_COUNT10) has 14 (46.7%) zerosZeros
20대재방문매출건수의합(REVISIT_COUNT20) has 2 (6.7%) zerosZeros
40대재방문매출건수의합(REVISIT_COUNT40) has 1 (3.3%) zerosZeros
60대재방문매출건수의합(REVISIT_COUNT60) has 3 (10.0%) zerosZeros
영업개월수별가맹점수당월개업(COUNT_OPEN_MUN) has 5 (16.7%) zerosZeros
영업개월수별가맹점수2년~3년미만(COUNT_03_YEAR) has 1 (3.3%) zerosZeros
영업개월수별가맹점수3년~4년미만(COUNT_04_YEAR) has 3 (10.0%) zerosZeros
영업대월수별가맹점수4년~5년미만(COUNT_05_YEAR) has 2 (6.7%) zerosZeros

Reproduction

Analysis started2023-12-10 14:54:56.321817
Analysis finished2023-12-10 14:54:57.423750
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월(YMD)
Real number (ℝ)

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201485.93
Minimum201402
Maximum201605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:57.507898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201402
5-th percentile201403.45
Q1201407.25
median201505
Q3201510
95-th percentile201602
Maximum201605
Range203
Interquartile range (IQR)102.75

Descriptive statistics

Standard deviation65.880212
Coefficient of variation (CV)0.00032697177
Kurtosis-0.72989282
Mean201485.93
Median Absolute Deviation (MAD)6.5
Skewness0.17255142
Sum6044578
Variance4340.2023
MonotonicityNot monotonic
2023-12-10T23:54:57.691567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
201508 3
 
10.0%
201510 3
 
10.0%
201503 2
 
6.7%
201501 2
 
6.7%
201405 2
 
6.7%
201507 2
 
6.7%
201406 2
 
6.7%
201602 2
 
6.7%
201407 1
 
3.3%
201502 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
201402 1
3.3%
201403 1
3.3%
201404 1
3.3%
201405 2
6.7%
201406 2
6.7%
201407 1
3.3%
201408 1
3.3%
201412 1
3.3%
201501 2
6.7%
201502 1
3.3%
ValueCountFrequency (%)
201605 1
 
3.3%
201602 2
6.7%
201601 1
 
3.3%
201512 1
 
3.3%
201511 1
 
3.3%
201510 3
10.0%
201509 1
 
3.3%
201508 3
10.0%
201507 2
6.7%
201503 2
6.7%

구코드(GU_CD)
Real number (ℝ)

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1427 × 109
Minimum1.111 × 109
Maximum1.174 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:57.902339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.111 × 109
5-th percentile1.1137 × 109
Q11.127125 × 109
median1.144 × 109
Q31.155625 × 109
95-th percentile1.171 × 109
Maximum1.174 × 109
Range63000000
Interquartile range (IQR)28500000

Descriptive statistics

Standard deviation19296953
Coefficient of variation (CV)0.016887156
Kurtosis-1.273068
Mean1.1427 × 109
Median Absolute Deviation (MAD)14250000
Skewness-0.086137464
Sum3.4281 × 1010
Variance3.7237241 × 1014
MonotonicityNot monotonic
2023-12-10T23:54:58.084533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1154500000 5
16.7%
1120000000 4
13.3%
1132000000 3
 
10.0%
1171000000 2
 
6.7%
1165000000 2
 
6.7%
1111000000 2
 
6.7%
1162000000 1
 
3.3%
1138000000 1
 
3.3%
1135000000 1
 
3.3%
1174000000 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
1111000000 2
6.7%
1117000000 1
 
3.3%
1120000000 4
13.3%
1126000000 1
 
3.3%
1130500000 1
 
3.3%
1132000000 3
10.0%
1135000000 1
 
3.3%
1138000000 1
 
3.3%
1141000000 1
 
3.3%
1147000000 1
 
3.3%
ValueCountFrequency (%)
1174000000 1
 
3.3%
1171000000 2
 
6.7%
1165000000 2
 
6.7%
1162000000 1
 
3.3%
1159000000 1
 
3.3%
1156000000 1
 
3.3%
1154500000 5
16.7%
1153000000 1
 
3.3%
1147000000 1
 
3.3%
1141000000 1
 
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:54:58.318075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters120
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)70.0%

Sample

1st rowSQ10
2nd rowSD06
3rd rowSF11
4th rowSD09
5th rowSD03
ValueCountFrequency (%)
sf05 3
 
10.0%
sf07 2
 
6.7%
sf11 2
 
6.7%
sq04 2
 
6.7%
sf14 1
 
3.3%
sq10 1
 
3.3%
sf06 1
 
3.3%
sf13 1
 
3.3%
sf12 1
 
3.3%
sd02 1
 
3.3%
Other values (15) 15
50.0%
2023-12-10T23:54:58.673314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 30
25.0%
0 22
18.3%
F 18
15.0%
1 13
10.8%
D 7
 
5.8%
5 5
 
4.2%
Q 5
 
4.2%
4 4
 
3.3%
2 4
 
3.3%
7 3
 
2.5%
Other values (4) 9
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 60
50.0%
Decimal Number 60
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
36.7%
1 13
21.7%
5 5
 
8.3%
4 4
 
6.7%
2 4
 
6.7%
7 3
 
5.0%
3 3
 
5.0%
6 3
 
5.0%
8 2
 
3.3%
9 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 30
50.0%
F 18
30.0%
D 7
 
11.7%
Q 5
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 60
50.0%
Common 60
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22
36.7%
1 13
21.7%
5 5
 
8.3%
4 4
 
6.7%
2 4
 
6.7%
7 3
 
5.0%
3 3
 
5.0%
6 3
 
5.0%
8 2
 
3.3%
9 1
 
1.7%
Latin
ValueCountFrequency (%)
S 30
50.0%
F 18
30.0%
D 7
 
11.7%
Q 5
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 30
25.0%
0 22
18.3%
F 18
15.0%
1 13
10.8%
D 7
 
5.8%
5 5
 
4.2%
Q 5
 
4.2%
4 4
 
3.3%
2 4
 
3.3%
7 3
 
2.5%
Other values (4) 9
 
7.5%
Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:54:58.937422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length4.1666667
Min length3

Characters and Unicode

Total characters125
Distinct characters67
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)43.3%

Sample

1st row입시보습학원
2nd row정육점
3rd row치킨전문점
4th row여관업
5th row슈퍼마켓
ValueCountFrequency (%)
당구장 3
 
10.0%
슈퍼마켓 2
 
6.7%
의류점 2
 
6.7%
커피음료점 2
 
6.7%
컴퓨터판매수리 2
 
6.7%
노래방 2
 
6.7%
치킨전문점 2
 
6.7%
여관업 2
 
6.7%
피부관리실 1
 
3.3%
입시보습학원 1
 
3.3%
Other values (11) 11
36.7%
2023-12-10T23:54:59.467546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
6.4%
5
 
4.0%
4
 
3.2%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (57) 86
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
6.4%
5
 
4.0%
4
 
3.2%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (57) 86
68.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
6.4%
5
 
4.0%
4
 
3.2%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (57) 86
68.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
6.4%
5
 
4.0%
4
 
3.2%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (57) 86
68.8%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean325.1
Minimum5
Maximum3261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:54:59.661936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.15
Q164.75
median96
Q3258
95-th percentile1570.2
Maximum3261
Range3256
Interquartile range (IQR)193.25

Descriptive statistics

Standard deviation711.3841
Coefficient of variation (CV)2.1882009
Kurtosis12.622719
Mean325.1
Median Absolute Deviation (MAD)65.5
Skewness3.602269
Sum9753
Variance506067.33
MonotonicityNot monotonic
2023-12-10T23:54:59.848482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5 2
 
6.7%
154 2
 
6.7%
63 1
 
3.3%
78 1
 
3.3%
53 1
 
3.3%
22 1
 
3.3%
87 1
 
3.3%
97 1
 
3.3%
35 1
 
3.3%
95 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
5 2
6.7%
12 1
3.3%
22 1
3.3%
35 1
3.3%
53 1
3.3%
54 1
3.3%
63 1
3.3%
70 1
3.3%
71 1
3.3%
73 1
3.3%
ValueCountFrequency (%)
3261 1
3.3%
2490 1
3.3%
446 1
3.3%
382 1
3.3%
379 1
3.3%
371 1
3.3%
301 1
3.3%
283 1
3.3%
183 1
3.3%
172 1
3.3%

법인매출금액합(CASH_COMP)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0792052 × 108
Minimum0
Maximum1.3898893 × 109
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:00.001141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile66535
Q15155507.5
median18983800
Q350838687
95-th percentile6.2187713 × 108
Maximum1.3898893 × 109
Range1.3898893 × 109
Interquartile range (IQR)45683180

Descriptive statistics

Standard deviation2.8916506 × 108
Coefficient of variation (CV)2.6794262
Kurtosis14.606311
Mean1.0792052 × 108
Median Absolute Deviation (MAD)18586850
Skewness3.7609063
Sum3.2376156 × 109
Variance8.3616432 × 1016
MonotonicityNot monotonic
2023-12-10T23:55:00.404132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1504200 1
 
3.3%
1389889277 1
 
3.3%
41299710 1
 
3.3%
54366900 1
 
3.3%
6799920 1
 
3.3%
659000 1
 
3.3%
9326042 1
 
3.3%
0 1
 
3.3%
814084697 1
 
3.3%
5525200 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
10600 1
3.3%
134900 1
3.3%
659000 1
3.3%
1504200 1
3.3%
2300000 1
3.3%
3726000 1
3.3%
5074000 1
3.3%
5400030 1
3.3%
5525200 1
3.3%
ValueCountFrequency (%)
1389889277 1
3.3%
814084697 1
3.3%
386956770 1
3.3%
81083790 1
3.3%
61709330 1
3.3%
54366900 1
3.3%
52726940 1
3.3%
51112595 1
3.3%
50016963 1
3.3%
45030980 1
3.3%

남성매출금액합(CASH_MAN)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8579701 × 108
Minimum4452500
Maximum6.3482385 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:00.566733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4452500
5-th percentile5766200
Q130943478
median1.431036 × 108
Q34.1466398 × 108
95-th percentile2.4319342 × 109
Maximum6.3482385 × 109
Range6.343786 × 109
Interquartile range (IQR)3.837205 × 108

Descriptive statistics

Standard deviation1.2632982 × 109
Coefficient of variation (CV)2.1565461
Kurtosis15.449019
Mean5.8579701 × 108
Median Absolute Deviation (MAD)1.248237 × 108
Skewness3.700547
Sum1.757391 × 1010
Variance1.5959224 × 1018
MonotonicityNot monotonic
2023-12-10T23:55:00.741886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
266787558 1
 
3.3%
4452500 1
 
3.3%
35495610 1
 
3.3%
457612116 1
 
3.3%
2514785640 1
 
3.3%
88082600 1
 
3.3%
285819557 1
 
3.3%
196899080 1
 
3.3%
268694700 1
 
3.3%
4784300 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
4452500 1
3.3%
4784300 1
3.3%
6966300 1
3.3%
10109221 1
3.3%
13705130 1
3.3%
19047290 1
3.3%
21503600 1
3.3%
29426100 1
3.3%
35495610 1
3.3%
49668970 1
3.3%
ValueCountFrequency (%)
6348238521 1
3.3%
2514785640 1
3.3%
2330671421 1
3.3%
1529332416 1
3.3%
799874810 1
3.3%
751480960 1
3.3%
585274438 1
3.3%
457612116 1
3.3%
285819557 1
3.3%
268694700 1
3.3%

여성매출금액합(CASH_WOMAN)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.296655 × 108
Minimum1210000
Maximum4.8478753 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:00.910622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1210000
5-th percentile2702010
Q112599250
median53003230
Q31.8949763 × 108
95-th percentile2.7901471 × 109
Maximum4.8478753 × 109
Range4.8466653 × 109
Interquartile range (IQR)1.7689838 × 108

Descriptive statistics

Standard deviation1.1634625 × 109
Coefficient of variation (CV)2.7078331
Kurtosis11.585528
Mean4.296655 × 108
Median Absolute Deviation (MAD)48040230
Skewness3.524806
Sum1.2889965 × 1010
Variance1.353645 × 1018
MonotonicityNot monotonic
2023-12-10T23:55:01.067909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
11783800 1
 
3.3%
4847875320 1
 
3.3%
4456793245 1
 
3.3%
72106715 1
 
3.3%
24340340 1
 
3.3%
4488000 1
 
3.3%
401368918 1
 
3.3%
15045600 1
 
3.3%
95222771 1
 
3.3%
753135195 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1210000 1
3.3%
2433000 1
3.3%
3030800 1
3.3%
4136495 1
3.3%
4488000 1
3.3%
5438000 1
3.3%
7863990 1
3.3%
11783800 1
3.3%
15045600 1
3.3%
19962210 1
3.3%
ValueCountFrequency (%)
4847875320 1
3.3%
4456793245 1
3.3%
753135195 1
3.3%
511237340 1
3.3%
447264310 1
3.3%
401368918 1
3.3%
353089348 1
3.3%
207717076 1
3.3%
134839300 1
3.3%
125698800 1
3.3%

10대매출금액의합(CASH_AGE10)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6450935.8
Minimum0
Maximum79067910
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:01.224270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1116250
median937400
Q33153175
95-th percentile30530923
Maximum79067910
Range79067910
Interquartile range (IQR)3036925

Descriptive statistics

Standard deviation16085404
Coefficient of variation (CV)2.4934993
Kurtosis15.301553
Mean6450935.8
Median Absolute Deviation (MAD)937400
Skewness3.7697297
Sum1.9352808 × 108
Variance2.5874022 × 1014
MonotonicityNot monotonic
2023-12-10T23:55:01.390553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 5
 
16.7%
13936345 1
 
3.3%
79067910 1
 
3.3%
16735350 1
 
3.3%
1994250 1
 
3.3%
41818210 1
 
3.3%
4000000 1
 
3.3%
1960000 1
 
3.3%
1367290 1
 
3.3%
1632800 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0 5
16.7%
23000 1
 
3.3%
87500 1
 
3.3%
113000 1
 
3.3%
126000 1
 
3.3%
274000 1
 
3.3%
319250 1
 
3.3%
364800 1
 
3.3%
442590 1
 
3.3%
455420 1
 
3.3%
ValueCountFrequency (%)
79067910 1
3.3%
41818210 1
3.3%
16735350 1
3.3%
14108700 1
3.3%
13936345 1
3.3%
5099600 1
3.3%
4000000 1
3.3%
3472900 1
3.3%
2194000 1
3.3%
2060360 1
3.3%

20대매출금액의합(CASH_AGE20)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89036830
Minimum296000
Maximum6.5215907 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:01.586797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum296000
5-th percentile1784276
Q18477218.2
median33524270
Q31.1044328 × 108
95-th percentile3.1537496 × 108
Maximum6.5215907 × 108
Range6.5186307 × 108
Interquartile range (IQR)1.0196606 × 108

Descriptive statistics

Standard deviation1.3707792 × 108
Coefficient of variation (CV)1.5395642
Kurtosis10.121863
Mean89036830
Median Absolute Deviation (MAD)32146060
Skewness2.9660204
Sum2.6711049 × 109
Variance1.8790356 × 1016
MonotonicityNot monotonic
2023-12-10T23:55:01.762589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
65695119 1
 
3.3%
296000 1
 
3.3%
72420215 1
 
3.3%
89342012 1
 
3.3%
111737690 1
 
3.3%
127030423 1
 
3.3%
14739173 1
 
3.3%
3377044 1
 
3.3%
652159070 1
 
3.3%
409919948 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
296000 1
3.3%
1403000 1
3.3%
2250280 1
3.3%
2680600 1
3.3%
3021300 1
3.3%
3377044 1
3.3%
4360410 1
3.3%
6389900 1
3.3%
14739173 1
3.3%
14921981 1
3.3%
ValueCountFrequency (%)
652159070 1
3.3%
409919948 1
3.3%
199819979 1
3.3%
189522285 1
3.3%
145654910 1
3.3%
127030423 1
3.3%
124561740 1
3.3%
111737690 1
3.3%
106560036 1
3.3%
98695260 1
3.3%

30대매출금액의합(CASH_AGE30)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8466858 × 108
Minimum328600
Maximum6.1464304 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:01.951763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum328600
5-th percentile11996005
Q153233545
median1.3025585 × 108
Q33.3932499 × 108
95-th percentile2.5036265 × 109
Maximum6.1464304 × 109
Range6.1461018 × 109
Interquartile range (IQR)2.8609145 × 108

Descriptive statistics

Standard deviation1.240151 × 109
Coefficient of variation (CV)2.1211178
Kurtosis14.600408
Mean5.8466858 × 108
Median Absolute Deviation (MAD)1.0398905 × 108
Skewness3.6306654
Sum1.7540057 × 1010
Variance1.5379744 × 1018
MonotonicityNot monotonic
2023-12-10T23:55:02.144317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
18224455 1
 
3.3%
37430035 1
 
3.3%
6900000 1
 
3.3%
1779206260 1
 
3.3%
3096334000 1
 
3.3%
116101364 1
 
3.3%
26855000 1
 
3.3%
216148695 1
 
3.3%
123387423 1
 
3.3%
1114510397 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
328600 1
3.3%
6900000 1
3.3%
18224455 1
3.3%
19688800 1
3.3%
25678600 1
3.3%
26855000 1
3.3%
37430035 1
3.3%
47908618 1
3.3%
69208325 1
3.3%
73281900 1
3.3%
ValueCountFrequency (%)
6146430361 1
3.3%
3096334000 1
3.3%
1779206260 1
3.3%
1176934645 1
3.3%
1114510397 1
3.3%
964318305 1
3.3%
438861496 1
3.3%
351029540 1
3.3%
304211343 1
3.3%
255750305 1
3.3%

40대매출금액의합(CASH_AGE40)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1775066 × 108
Minimum869000
Maximum5.0726317 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:02.310390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum869000
5-th percentile2144210
Q141392865
median1.2928546 × 108
Q32.5216661 × 108
95-th percentile1.497674 × 109
Maximum5.0726317 × 109
Range5.0717627 × 109
Interquartile range (IQR)2.1077374 × 108

Descriptive statistics

Standard deviation9.6685748 × 108
Coefficient of variation (CV)2.3144367
Kurtosis19.623436
Mean4.1775066 × 108
Median Absolute Deviation (MAD)1.016097 × 108
Skewness4.2081341
Sum1.253252 × 1010
Variance9.3481338 × 1017
MonotonicityNot monotonic
2023-12-10T23:55:02.495020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1180434289 1
 
3.3%
103404940 1
 
3.3%
29404500 1
 
3.3%
303961640 1
 
3.3%
45619100 1
 
3.3%
11339800 1
 
3.3%
39984120 1
 
3.3%
20374880 1
 
3.3%
1346172062 1
 
3.3%
256710044 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
869000 1
3.3%
1175000 1
3.3%
3328800 1
3.3%
11339800 1
3.3%
20374880 1
3.3%
25947000 1
3.3%
29404500 1
3.3%
39984120 1
3.3%
45619100 1
3.3%
48273200 1
3.3%
ValueCountFrequency (%)
5072631748 1
3.3%
1621630157 1
3.3%
1346172062 1
3.3%
1180434289 1
3.3%
457104222 1
3.3%
343921150 1
3.3%
303961640 1
3.3%
256710044 1
3.3%
238536290 1
3.3%
216052185 1
3.3%

50대매출금액의합(CASH_AGE50)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5747283 × 108
Minimum244000
Maximum1.8365298 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:02.668407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244000
5-th percentile1088525
Q15497115
median52187580
Q31.1229848 × 108
95-th percentile6.410573 × 108
Maximum1.8365298 × 109
Range1.8362858 × 109
Interquartile range (IQR)1.0680136 × 108

Descriptive statistics

Standard deviation3.6040664 × 108
Coefficient of variation (CV)2.288691
Kurtosis17.221084
Mean1.5747283 × 108
Median Absolute Deviation (MAD)47351488
Skewness3.9604817
Sum4.7241848 × 109
Variance1.2989295 × 1017
MonotonicityNot monotonic
2023-12-10T23:55:02.839371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1789500 1
 
3.3%
17049900 1
 
3.3%
69494490 1
 
3.3%
73985706 1
 
3.3%
62840950 1
 
3.3%
4236084 1
 
3.3%
244000 1
 
3.3%
61174100 1
 
3.3%
72579600 1
 
3.3%
346613157 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
244000 1
3.3%
515000 1
3.3%
1789500 1
3.3%
1855300 1
3.3%
2094000 1
3.3%
2364200 1
3.3%
4236084 1
3.3%
5436100 1
3.3%
5680160 1
3.3%
6100050 1
3.3%
ValueCountFrequency (%)
1836529792 1
3.3%
839652470 1
3.3%
398329878 1
3.3%
346613157 1
3.3%
222629559 1
3.3%
172322863 1
3.3%
151510060 1
3.3%
125069400 1
3.3%
73985706 1
3.3%
72579600 1
3.3%

60대매출금액의합(CASH_AGE60)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57803467
Minimum30000
Maximum4.1629242 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:03.041019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30000
5-th percentile442690
Q13620487.5
median26575155
Q383883870
95-th percentile1.7654337 × 108
Maximum4.1629242 × 108
Range4.1626242 × 108
Interquartile range (IQR)80263383

Descriptive statistics

Standard deviation87182828
Coefficient of variation (CV)1.508263
Kurtosis9.3064216
Mean57803467
Median Absolute Deviation (MAD)24268050
Skewness2.7249668
Sum1.734104 × 109
Variance7.6008455 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:03.219263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
40500761 1
 
3.3%
11619080 1
 
3.3%
17173400 1
 
3.3%
50870709 1
 
3.3%
32796790 1
 
3.3%
33818400 1
 
3.3%
5563310 1
 
3.3%
458200 1
 
3.3%
2334610 1
 
3.3%
430000 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
30000 1
3.3%
430000 1
3.3%
458200 1
3.3%
605000 1
3.3%
668000 1
3.3%
2334610 1
3.3%
3004500 1
3.3%
3222220 1
3.3%
4815290 1
3.3%
5563310 1
3.3%
ValueCountFrequency (%)
416292415 1
3.3%
200417572 1
3.3%
147363780 1
3.3%
139933974 1
3.3%
138058112 1
3.3%
123512629 1
3.3%
92047089 1
3.3%
85801480 1
3.3%
78131042 1
3.3%
50870709 1
3.3%

일요일매출금액합(CASH_W1)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40119248
Minimum1061280
Maximum1.6658628 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:03.388771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1061280
5-th percentile1554395
Q15397215.8
median27512850
Q355448261
95-th percentile1.3171276 × 108
Maximum1.6658628 × 108
Range1.65525 × 108
Interquartile range (IQR)50051045

Descriptive statistics

Standard deviation44951285
Coefficient of variation (CV)1.1204419
Kurtosis1.3098564
Mean40119248
Median Absolute Deviation (MAD)23051460
Skewness1.4320867
Sum1.2035774 × 109
Variance2.020618 × 1015
MonotonicityNot monotonic
2023-12-10T23:55:03.564592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
9174120 1
 
3.3%
29077981 1
 
3.3%
25947720 1
 
3.3%
4988500 1
 
3.3%
1061280 1
 
3.3%
41224950 1
 
3.3%
29794180 1
 
3.3%
29486130 1
 
3.3%
2095100 1
 
3.3%
3799700 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1061280 1
3.3%
1112000 1
3.3%
2095100 1
3.3%
3532100 1
3.3%
3799700 1
3.3%
4140000 1
3.3%
4782780 1
3.3%
4988500 1
3.3%
6623363 1
3.3%
7205770 1
3.3%
ValueCountFrequency (%)
166586280 1
3.3%
134652410 1
3.3%
128119850 1
3.3%
108084235 1
3.3%
95992351 1
3.3%
67877285 1
3.3%
63862763 1
3.3%
55894600 1
3.3%
54109243 1
3.3%
41224950 1
3.3%

월요일매출금액합(CASH_W2)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5205868 × 108
Minimum861700
Maximum2.4495857 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:03.715679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum861700
5-th percentile1385760
Q19461895
median23776955
Q358814823
95-th percentile6.278968 × 108
Maximum2.4495857 × 109
Range2.448724 × 109
Interquartile range (IQR)49352928

Descriptive statistics

Standard deviation4.65626 × 108
Coefficient of variation (CV)3.0621467
Kurtosis22.121431
Mean1.5205868 × 108
Median Absolute Deviation (MAD)20324060
Skewness4.5819035
Sum4.5617605 × 109
Variance2.1680758 × 1017
MonotonicityNot monotonic
2023-12-10T23:55:03.891730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
17586500 1
 
3.3%
130444138 1
 
3.3%
110683336 1
 
3.3%
20007810 1
 
3.3%
72648742 1
 
3.3%
16573838 1
 
3.3%
39037082 1
 
3.3%
2449585740 1
 
3.3%
861700 1
 
3.3%
116638540 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
861700 1
3.3%
906600 1
3.3%
1971400 1
3.3%
2730790 1
3.3%
4175000 1
3.3%
5270170 1
3.3%
8200560 1
3.3%
9417800 1
3.3%
9594180 1
3.3%
11254550 1
3.3%
ValueCountFrequency (%)
2449585740 1
3.3%
915433193 1
3.3%
276463420 1
3.3%
130444138 1
3.3%
116638540 1
3.3%
110683336 1
3.3%
72648742 1
3.3%
58925265 1
3.3%
58483497 1
3.3%
49010326 1
3.3%

화요일매출금액합(CASH_W3)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1804392 × 108
Minimum1656120
Maximum8.5532712 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:04.031500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1656120
5-th percentile9466222.7
Q124768296
median86530060
Q31.3876703 × 108
95-th percentile3.0236666 × 108
Maximum8.5532712 × 108
Range8.53671 × 108
Interquartile range (IQR)1.1399874 × 108

Descriptive statistics

Standard deviation1.6220965 × 108
Coefficient of variation (CV)1.3741466
Kurtosis15.002972
Mean1.1804392 × 108
Median Absolute Deviation (MAD)61282036
Skewness3.5034041
Sum3.5413177 × 109
Variance2.6311972 × 1016
MonotonicityNot monotonic
2023-12-10T23:55:04.186947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6114723 1
 
3.3%
24710650 1
 
3.3%
86297020 1
 
3.3%
124215140 1
 
3.3%
97581365 1
 
3.3%
165413610 1
 
3.3%
40112000 1
 
3.3%
90697680 1
 
3.3%
194267131 1
 
3.3%
291974100 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1656120 1
3.3%
6114723 1
3.3%
13562500 1
3.3%
13917500 1
3.3%
16763588 1
3.3%
20316550 1
3.3%
22212000 1
3.3%
24710650 1
3.3%
24941232 1
3.3%
32785000 1
3.3%
ValueCountFrequency (%)
855327117 1
3.3%
310869665 1
3.3%
291974100 1
3.3%
255443506 1
3.3%
194267131 1
3.3%
165413610 1
3.3%
147505303 1
3.3%
143617662 1
3.3%
124215140 1
3.3%
116460914 1
3.3%

수요일매출금액합(CASH_W4)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89086492
Minimum1471600
Maximum9.2820384 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:04.319074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1471600
5-th percentile1927436.5
Q19786152.5
median39363625
Q386883744
95-th percentile2.6342326 × 108
Maximum9.2820384 × 108
Range9.2673224 × 108
Interquartile range (IQR)77097592

Descriptive statistics

Standard deviation1.734331 × 108
Coefficient of variation (CV)1.9467946
Kurtosis20.095585
Mean89086492
Median Absolute Deviation (MAD)31379175
Skewness4.2418583
Sum2.6725948 × 109
Variance3.0079041 × 1016
MonotonicityNot monotonic
2023-12-10T23:55:04.482875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
89622417 1
 
3.3%
159708256 1
 
3.3%
1504000 1
 
3.3%
78667725 1
 
3.3%
2444970 1
 
3.3%
15611000 1
 
3.3%
63623046 1
 
3.3%
114418580 1
 
3.3%
30179000 1
 
3.3%
14404600 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1471600 1
3.3%
1504000 1
3.3%
2444970 1
3.3%
7221680 1
3.3%
7609600 1
3.3%
8359300 1
3.3%
8462590 1
3.3%
8608430 1
3.3%
13319320 1
3.3%
14404600 1
3.3%
ValueCountFrequency (%)
928203844 1
3.3%
329810353 1
3.3%
182283480 1
3.3%
159708256 1
3.3%
123104510 1
3.3%
116492370 1
3.3%
114418580 1
3.3%
89622417 1
3.3%
78667725 1
3.3%
75156900 1
3.3%

목요일매출금액합(CASH_W5)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2867668 × 108
Minimum1247000
Maximum1.7225191 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:04.642159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1247000
5-th percentile3149936.8
Q120061481
median54467800
Q31.58297 × 108
95-th percentile1.298935 × 109
Maximum1.7225191 × 109
Range1.7212721 × 109
Interquartile range (IQR)1.3823552 × 108

Descriptive statistics

Standard deviation4.4026337 × 108
Coefficient of variation (CV)1.9252657
Kurtosis6.822232
Mean2.2867668 × 108
Median Absolute Deviation (MAD)45009858
Skewness2.7087034
Sum6.8603004 × 109
Variance1.9383183 × 1017
MonotonicityNot monotonic
2023-12-10T23:55:04.815821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
17911700 1
 
3.3%
54148900 1
 
3.3%
36160765 1
 
3.3%
1619279050 1
 
3.3%
148464346 1
 
3.3%
1247000 1
 
3.3%
1722519055 1
 
3.3%
125361040 1
 
3.3%
290107780 1
 
3.3%
8727000 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1247000 1
3.3%
2848205 1
3.3%
3518720 1
3.3%
3995450 1
3.3%
8727000 1
3.3%
10188885 1
3.3%
10904360 1
3.3%
17911700 1
3.3%
26510825 1
3.3%
26855140 1
3.3%
ValueCountFrequency (%)
1722519055 1
3.3%
1619279050 1
3.3%
907403286 1
3.3%
659125350 1
3.3%
290107780 1
3.3%
285872707 1
3.3%
280068845 1
3.3%
161574553 1
3.3%
148464346 1
3.3%
125361040 1
3.3%

금요일매출금액합(CASH_W6)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4369854 × 108
Minimum258300
Maximum1.9084268 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:04.976351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum258300
5-th percentile1156755
Q17782217.5
median34293750
Q383136932
95-th percentile6.4750363 × 108
Maximum1.9084268 × 109
Range1.9081685 × 109
Interquartile range (IQR)75354715

Descriptive statistics

Standard deviation3.741001 × 108
Coefficient of variation (CV)2.6033675
Kurtosis18.42156
Mean1.4369854 × 108
Median Absolute Deviation (MAD)29214500
Skewness4.1693016
Sum4.3109562 × 109
Variance1.3995089 × 1017
MonotonicityNot monotonic
2023-12-10T23:55:05.143593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4946300 1
 
3.3%
18163380 1
 
3.3%
7481900 1
 
3.3%
100430585 1
 
3.3%
86537343 1
 
3.3%
72935700 1
 
3.3%
258300 1
 
3.3%
45004700 1
 
3.3%
6468500 1
 
3.3%
121662200 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
258300 1
3.3%
331500 1
3.3%
2165400 1
3.3%
4213000 1
3.3%
4946300 1
3.3%
5212200 1
3.3%
6468500 1
3.3%
7481900 1
3.3%
8683170 1
3.3%
14386000 1
3.3%
ValueCountFrequency (%)
1908426786 1
3.3%
908220941 1
3.3%
328849140 1
3.3%
163160752 1
3.3%
129165690 1
3.3%
121662200 1
3.3%
100430585 1
3.3%
86537343 1
3.3%
72935700 1
3.3%
71460440 1
3.3%

토요일매출금액합(CASH_W7)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81477898
Minimum140000
Maximum1.0563145 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:05.315631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum140000
5-th percentile151920
Q11951525
median32067944
Q371084753
95-th percentile2.4992293 × 108
Maximum1.0563145 × 109
Range1.0561745 × 109
Interquartile range (IQR)69133228

Descriptive statistics

Standard deviation1.9484406 × 108
Coefficient of variation (CV)2.3913732
Kurtosis23.321019
Mean81477898
Median Absolute Deviation (MAD)31267944
Skewness4.647748
Sum2.4443369 × 109
Variance3.7964209 × 1016
MonotonicityNot monotonic
2023-12-10T23:55:05.465329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
865000 1
 
3.3%
140000 1
 
3.3%
91446150 1
 
3.3%
42158100 1
 
3.3%
31861500 1
 
3.3%
5823700 1
 
3.3%
1056314544 1
 
3.3%
60123525 1
 
3.3%
2311600 1
 
3.3%
47948890 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
140000 1
3.3%
149400 1
3.3%
155000 1
3.3%
249660 1
3.3%
415100 1
3.3%
735000 1
3.3%
865000 1
3.3%
1831500 1
3.3%
2311600 1
3.3%
3621000 1
3.3%
ValueCountFrequency (%)
1056314544 1
3.3%
292484840 1
3.3%
197902815 1
3.3%
95774860 1
3.3%
91446150 1
3.3%
90550970 1
3.3%
83168100 1
3.3%
71778100 1
3.3%
69004711 1
3.3%
60123525 1
3.3%
Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62710021
Minimum0
Maximum5.3195615 × 108
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:05.667340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9012190
Q349350645
95-th percentile2.8815603 × 108
Maximum5.3195615 × 108
Range5.3195615 × 108
Interquartile range (IQR)49350645

Descriptive statistics

Standard deviation1.2285599 × 108
Coefficient of variation (CV)1.9591126
Kurtosis6.9256064
Mean62710021
Median Absolute Deviation (MAD)9012190
Skewness2.5740877
Sum1.8813006 × 109
Variance1.5093595 × 1016
MonotonicityNot monotonic
2023-12-10T23:55:05.829069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 9
30.0%
33723500 1
 
3.3%
204960486 1
 
3.3%
15050660 1
 
3.3%
10164580 1
 
3.3%
12089250 1
 
3.3%
7859800 1
 
3.3%
59797550 1
 
3.3%
355000 1
 
3.3%
310294195 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 9
30.0%
282000 1
 
3.3%
355000 1
 
3.3%
1291400 1
 
3.3%
1381650 1
 
3.3%
4982300 1
 
3.3%
7859800 1
 
3.3%
10164580 1
 
3.3%
10230850 1
 
3.3%
12089250 1
 
3.3%
ValueCountFrequency (%)
531956150 1
3.3%
310294195 1
3.3%
261098271 1
3.3%
223532124 1
3.3%
204960486 1
3.3%
78173507 1
3.3%
59797550 1
3.3%
53344940 1
3.3%
37367760 1
3.3%
33723500 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7696426 × 108
Minimum623901
Maximum2.2814763 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:06.015249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum623901
5-th percentile1306050
Q14464265
median17090060
Q363924635
95-th percentile9.4708117 × 108
Maximum2.2814763 × 109
Range2.2808524 × 109
Interquartile range (IQR)59460370

Descriptive statistics

Standard deviation4.7355105 × 108
Coefficient of variation (CV)2.67597
Kurtosis14.758362
Mean1.7696426 × 108
Median Absolute Deviation (MAD)15202560
Skewness3.7646509
Sum5.3089277 × 109
Variance2.242506 × 1017
MonotonicityNot monotonic
2023-12-10T23:55:06.216516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1839000 1
 
3.3%
470446540 1
 
3.3%
6109350 1
 
3.3%
25781175 1
 
3.3%
129907475 1
 
3.3%
5531560 1
 
3.3%
4080020 1
 
3.3%
9861310 1
 
3.3%
2281476284 1
 
3.3%
110933950 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
623901 1
3.3%
870000 1
3.3%
1839000 1
3.3%
1936000 1
3.3%
2354120 1
3.3%
2548850 1
3.3%
4080020 1
3.3%
4108500 1
3.3%
5531560 1
3.3%
6109350 1
3.3%
ValueCountFrequency (%)
2281476284 1
3.3%
1337054960 1
3.3%
470446540 1
3.3%
393299239 1
3.3%
165464383 1
3.3%
129907475 1
3.3%
110933950 1
3.3%
65513030 1
3.3%
59159449 1
3.3%
57833454 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0825862 × 108
Minimum103900
Maximum1.6743257 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:06.404801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103900
5-th percentile365875
Q110365412
median45283768
Q389962310
95-th percentile1.8751052 × 108
Maximum1.6743257 × 109
Range1.6742218 × 109
Interquartile range (IQR)79596898

Descriptive statistics

Standard deviation3.0077188 × 108
Coefficient of variation (CV)2.7782719
Kurtosis27.84919
Mean1.0825862 × 108
Median Absolute Deviation (MAD)38309542
Skewness5.1970959
Sum3.2477587 × 109
Variance9.0463727 × 1016
MonotonicityNot monotonic
2023-12-10T23:55:06.573105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
70358778 1
 
3.3%
106167308 1
 
3.3%
19868600 1
 
3.3%
55005323 1
 
3.3%
91444330 1
 
3.3%
5459450 1
 
3.3%
65083703 1
 
3.3%
21429090 1
 
3.3%
8489000 1
 
3.3%
10163650 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
103900 1
3.3%
322000 1
3.3%
419500 1
3.3%
632500 1
3.3%
1014000 1
3.3%
5459450 1
3.3%
8489000 1
3.3%
10163650 1
3.3%
10970700 1
3.3%
13178780 1
3.3%
ValueCountFrequency (%)
1674325656 1
3.3%
206996648 1
3.3%
163694136 1
3.3%
151081635 1
3.3%
121697410 1
3.3%
106758360 1
3.3%
106167308 1
3.3%
91444330 1
3.3%
85516251 1
3.3%
70358778 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.27328 × 108
Minimum1423440
Maximum9.5860772 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:06.741377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1423440
5-th percentile1666970
Q16014422.5
median37597850
Q31.2107883 × 108
95-th percentile6.6251573 × 108
Maximum9.5860772 × 108
Range9.5718428 × 108
Interquartile range (IQR)1.1506441 × 108

Descriptive statistics

Standard deviation2.3657636 × 108
Coefficient of variation (CV)1.8580074
Kurtosis8.4458462
Mean1.27328 × 108
Median Absolute Deviation (MAD)35537150
Skewness2.9383907
Sum3.8198399 × 109
Variance5.5968376 × 1016
MonotonicityNot monotonic
2023-12-10T23:55:07.290382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1637900 1
 
3.3%
6422610 1
 
3.3%
83519190 1
 
3.3%
38405700 1
 
3.3%
119936883 1
 
3.3%
204325199 1
 
3.3%
33543300 1
 
3.3%
1423440 1
 
3.3%
121459480 1
 
3.3%
5113230 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1423440 1
3.3%
1637900 1
3.3%
1702500 1
3.3%
2418900 1
3.3%
3105100 1
3.3%
5113230 1
3.3%
5163666 1
3.3%
5878360 1
3.3%
6422610 1
3.3%
8143000 1
3.3%
ValueCountFrequency (%)
958607718 1
3.3%
915839103 1
3.3%
352898270 1
3.3%
263150610 1
3.3%
204325199 1
3.3%
189429292 1
3.3%
133015691 1
3.3%
121459480 1
3.3%
119936883 1
3.3%
102304800 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.725313 × 108
Minimum3924000
Maximum2.93435 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:07.463898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3924000
5-th percentile16693314
Q151496740
median1.4715974 × 108
Q32.4344938 × 108
95-th percentile8.480647 × 108
Maximum2.93435 × 109
Range2.930426 × 109
Interquartile range (IQR)1.9195264 × 108

Descriptive statistics

Standard deviation5.4957481 × 108
Coefficient of variation (CV)2.0165567
Kurtosis20.395296
Mean2.725313 × 108
Median Absolute Deviation (MAD)97970924
Skewness4.3484268
Sum8.175939 × 109
Variance3.0203247 × 1017
MonotonicityNot monotonic
2023-12-10T23:55:07.654216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
168639365 1
 
3.3%
1217442033 1
 
3.3%
21607370 1
 
3.3%
3924000 1
 
3.3%
279322690 1
 
3.3%
210199290 1
 
3.3%
295660718 1
 
3.3%
73210930 1
 
3.3%
55539410 1
 
3.3%
46999315 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3924000 1
3.3%
12672723 1
3.3%
21607370 1
3.3%
24617600 1
3.3%
31235029 1
3.3%
34784915 1
3.3%
46999315 1
3.3%
51378320 1
3.3%
51852000 1
3.3%
55539410 1
3.3%
ValueCountFrequency (%)
2934349959 1
3.3%
1217442033 1
3.3%
396603510 1
3.3%
299980240 1
3.3%
295660718 1
3.3%
279322690 1
3.3%
259684831 1
3.3%
248460606 1
3.3%
228415710 1
3.3%
228280420 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6879407 × 108
Minimum72000
Maximum3.37213 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:07.823595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72000
5-th percentile737750
Q14923680
median23313975
Q342547838
95-th percentile4.9950845 × 108
Maximum3.37213 × 109
Range3.372058 × 109
Interquartile range (IQR)37624158

Descriptive statistics

Standard deviation6.2126498 × 108
Coefficient of variation (CV)3.680609
Kurtosis26.686941
Mean1.6879407 × 108
Median Absolute Deviation (MAD)19206461
Skewness5.0852802
Sum5.0638221 × 109
Variance3.8597018 × 1017
MonotonicityNot monotonic
2023-12-10T23:55:07.993032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
35965450 1
 
3.3%
515000 1
 
3.3%
7925000 1
 
3.3%
27898600 1
 
3.3%
24551450 1
 
3.3%
32412870 1
 
3.3%
73456925 1
 
3.3%
34624349 1
 
3.3%
11502540 1
 
3.3%
7259630 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
72000 1
3.3%
515000 1
3.3%
1010000 1
3.3%
1419350 1
3.3%
1873260 1
3.3%
4038000 1
3.3%
4069998 1
3.3%
4145030 1
3.3%
7259630 1
3.3%
7916460 1
3.3%
ValueCountFrequency (%)
3372129975 1
3.3%
773458344 1
3.3%
164680810 1
3.3%
122470025 1
3.3%
118236358 1
3.3%
81775858 1
3.3%
73456925 1
3.3%
43386150 1
3.3%
40032901 1
3.3%
35965450 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2497.2667
Minimum14
Maximum47459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:08.157050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile19.7
Q1134.5
median337.5
Q3841.5
95-th percentile8794.7
Maximum47459
Range47445
Interquartile range (IQR)707

Descriptive statistics

Standard deviation8885.4583
Coefficient of variation (CV)3.5580735
Kurtosis24.623209
Mean2497.2667
Median Absolute Deviation (MAD)312
Skewness4.8658479
Sum74918
Variance78951368
MonotonicityNot monotonic
2023-12-10T23:55:08.330899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
159 2
 
6.7%
262 1
 
3.3%
735 1
 
3.3%
557 1
 
3.3%
1276 1
 
3.3%
1215 1
 
3.3%
585 1
 
3.3%
47459 1
 
3.3%
184 1
 
3.3%
39 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
14 1
3.3%
17 1
3.3%
23 1
3.3%
24 1
3.3%
27 1
3.3%
39 1
3.3%
44 1
3.3%
132 1
3.3%
142 1
3.3%
159 2
6.7%
ValueCountFrequency (%)
47459 1
3.3%
14588 1
3.3%
1714 1
3.3%
1276 1
3.3%
1215 1
3.3%
946 1
3.3%
860 1
3.3%
843 1
3.3%
837 1
3.3%
735 1
3.3%

남성매출건수합(COUNT_MAN)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13299.567
Minimum31
Maximum190547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:08.487693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile294.25
Q11497.25
median3774.5
Q38662.75
95-th percentile46607.75
Maximum190547
Range190516
Interquartile range (IQR)7165.5

Descriptive statistics

Standard deviation35721.425
Coefficient of variation (CV)2.6859089
Kurtosis22.618845
Mean13299.567
Median Absolute Deviation (MAD)2674
Skewness4.6238315
Sum398987
Variance1.2760202 × 109
MonotonicityNot monotonic
2023-12-10T23:55:08.682861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3797 1
 
3.3%
4165 1
 
3.3%
1428 1
 
3.3%
848 1
 
3.3%
13780 1
 
3.3%
10458 1
 
3.3%
3752 1
 
3.3%
4594 1
 
3.3%
1070 1
 
3.3%
13945 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
31 1
3.3%
49 1
3.3%
594 1
3.3%
848 1
3.3%
1070 1
3.3%
1157 1
3.3%
1388 1
3.3%
1428 1
3.3%
1705 1
3.3%
1957 1
3.3%
ValueCountFrequency (%)
190547 1
3.3%
68030 1
3.3%
20425 1
3.3%
13945 1
3.3%
13780 1
3.3%
10458 1
3.3%
10328 1
3.3%
8985 1
3.3%
7696 1
3.3%
6749 1
3.3%

여성매출건수합(COUNT_WOMAN)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9150.7667
Minimum56
Maximum57690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:08.845821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile114.15
Q1567
median3725.5
Q311463.25
95-th percentile36289.15
Maximum57690
Range57634
Interquartile range (IQR)10896.25

Descriptive statistics

Standard deviation13522.964
Coefficient of variation (CV)1.4777957
Kurtosis5.4519256
Mean9150.7667
Median Absolute Deviation (MAD)3361
Skewness2.2726025
Sum274523
Variance1.8287055 × 108
MonotonicityNot monotonic
2023-12-10T23:55:09.022506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3194 1
 
3.3%
56 1
 
3.3%
8771 1
 
3.3%
11605 1
 
3.3%
4036 1
 
3.3%
13662 1
 
3.3%
129 1
 
3.3%
6223 1
 
3.3%
1910 1
 
3.3%
371 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
56 1
3.3%
102 1
3.3%
129 1
3.3%
207 1
3.3%
358 1
3.3%
371 1
3.3%
430 1
3.3%
505 1
3.3%
753 1
3.3%
835 1
3.3%
ValueCountFrequency (%)
57690 1
3.3%
41236 1
3.3%
30243 1
3.3%
21991 1
3.3%
20480 1
3.3%
16784 1
3.3%
13662 1
3.3%
11605 1
3.3%
11038 1
3.3%
8771 1
3.3%

10대매출건수의합(COUNT_AGE10)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451.53333
Minimum0
Maximum4312
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:09.186520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q118.5
median97
Q3252
95-th percentile2194.85
Maximum4312
Range4312
Interquartile range (IQR)233.5

Descriptive statistics

Standard deviation933.06302
Coefficient of variation (CV)2.0664322
Kurtosis10.716383
Mean451.53333
Median Absolute Deviation (MAD)93
Skewness3.1639597
Sum13546
Variance870606.6
MonotonicityNot monotonic
2023-12-10T23:55:09.366347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 2
 
6.7%
2 2
 
6.7%
26 1
 
3.3%
258 1
 
3.3%
1542 1
 
3.3%
140 1
 
3.3%
186 1
 
3.3%
0 1
 
3.3%
100 1
 
3.3%
64 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0 1
3.3%
1 2
6.7%
2 2
6.7%
6 1
3.3%
11 1
3.3%
16 1
3.3%
26 1
3.3%
27 1
3.3%
28 1
3.3%
30 1
3.3%
ValueCountFrequency (%)
4312 1
3.3%
2729 1
3.3%
1542 1
3.3%
962 1
3.3%
903 1
3.3%
832 1
3.3%
471 1
3.3%
258 1
3.3%
234 1
3.3%
212 1
3.3%

20대매출건수의합(COUNT_AGE20)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12628.667
Minimum17
Maximum154653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:09.534590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile124.05
Q11103.25
median2252.5
Q37628.5
95-th percentile55016.9
Maximum154653
Range154636
Interquartile range (IQR)6525.25

Descriptive statistics

Standard deviation30719.75
Coefficient of variation (CV)2.4325411
Kurtosis16.966264
Mean12628.667
Median Absolute Deviation (MAD)1993.5
Skewness3.9879813
Sum378860
Variance9.4370306 × 108
MonotonicityNot monotonic
2023-12-10T23:55:09.723579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5731 1
 
3.3%
48 1
 
3.3%
26088 1
 
3.3%
5170 1
 
3.3%
5162 1
 
3.3%
301 1
 
3.3%
9942 1
 
3.3%
23810 1
 
3.3%
1632 1
 
3.3%
819 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
17 1
3.3%
48 1
3.3%
217 1
3.3%
301 1
3.3%
532 1
3.3%
786 1
3.3%
819 1
3.3%
1094 1
3.3%
1131 1
3.3%
1410 1
3.3%
ValueCountFrequency (%)
154653 1
3.3%
78686 1
3.3%
26088 1
3.3%
23810 1
3.3%
15243 1
3.3%
14856 1
3.3%
9942 1
3.3%
8261 1
3.3%
5731 1
3.3%
5349 1
3.3%

30대매출건수의합(COUNT_AGE30)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7562.7333
Minimum37
Maximum70102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:09.917460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile166.4
Q1577.75
median1542
Q33064.25
95-th percentile46236
Maximum70102
Range70065
Interquartile range (IQR)2486.5

Descriptive statistics

Standard deviation17237.651
Coefficient of variation (CV)2.2792884
Kurtosis9.1969568
Mean7562.7333
Median Absolute Deviation (MAD)1005.5
Skewness3.1156197
Sum226882
Variance2.971366 × 108
MonotonicityNot monotonic
2023-12-10T23:55:10.105125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1493 1
 
3.3%
23708 1
 
3.3%
37 1
 
3.3%
64668 1
 
3.3%
1936 1
 
3.3%
116 1
 
3.3%
673 1
 
3.3%
228 1
 
3.3%
546 1
 
3.3%
491 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
37 1
3.3%
116 1
3.3%
228 1
3.3%
234 1
3.3%
326 1
3.3%
491 1
3.3%
527 1
3.3%
546 1
3.3%
673 1
3.3%
1097 1
3.3%
ValueCountFrequency (%)
70102 1
3.3%
64668 1
3.3%
23708 1
3.3%
22311 1
3.3%
7827 1
3.3%
7477 1
3.3%
3462 1
3.3%
3364 1
3.3%
2165 1
3.3%
2159 1
3.3%

40대매출건수의합(COUNT_AGE40)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9593.2667
Minimum19
Maximum83573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:10.277303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile26.15
Q1620.5
median2939.5
Q36773.5
95-th percentile45127.15
Maximum83573
Range83554
Interquartile range (IQR)6153

Descriptive statistics

Standard deviation18265.34
Coefficient of variation (CV)1.903975
Kurtosis9.5544326
Mean9593.2667
Median Absolute Deviation (MAD)2443.5
Skewness2.9865622
Sum287798
Variance3.3362264 × 108
MonotonicityNot monotonic
2023-12-10T23:55:10.437249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1000 1
 
3.3%
5044 1
 
3.3%
22877 1
 
3.3%
12545 1
 
3.3%
20333 1
 
3.3%
894 1
 
3.3%
4699 1
 
3.3%
3290 1
 
3.3%
2594 1
 
3.3%
30 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
19 1
3.3%
23 1
3.3%
30 1
3.3%
51 1
3.3%
106 1
3.3%
114 1
3.3%
373 1
3.3%
619 1
3.3%
625 1
3.3%
894 1
3.3%
ValueCountFrequency (%)
83573 1
3.3%
51766 1
3.3%
37013 1
3.3%
22877 1
3.3%
20333 1
3.3%
12545 1
3.3%
10006 1
3.3%
7350 1
3.3%
5044 1
3.3%
5028 1
3.3%

50대매출건수의합(COUNT_AGE50)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3041.6333
Minimum24
Maximum19085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:10.598712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile65.8
Q1506.75
median1096.5
Q32406.25
95-th percentile15924.95
Maximum19085
Range19061
Interquartile range (IQR)1899.5

Descriptive statistics

Standard deviation5164.6826
Coefficient of variation (CV)1.6979965
Kurtosis4.6408152
Mean3041.6333
Median Absolute Deviation (MAD)728
Skewness2.3683626
Sum91249
Variance26673947
MonotonicityNot monotonic
2023-12-10T23:55:10.781838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
608 1
 
3.3%
563 1
 
3.3%
13203 1
 
3.3%
970 1
 
3.3%
10993 1
 
3.3%
1452 1
 
3.3%
1688 1
 
3.3%
1430 1
 
3.3%
1163 1
 
3.3%
337 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
24 1
3.3%
55 1
3.3%
79 1
3.3%
150 1
3.3%
248 1
3.3%
337 1
3.3%
342 1
3.3%
488 1
3.3%
563 1
3.3%
608 1
3.3%
ValueCountFrequency (%)
19085 1
3.3%
18152 1
3.3%
13203 1
3.3%
10993 1
3.3%
3933 1
3.3%
3253 1
3.3%
3218 1
3.3%
2609 1
3.3%
1798 1
3.3%
1688 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2434.9
Minimum1
Maximum30021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:10.962345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q129.25
median198.5
Q31041.5
95-th percentile16453.2
Maximum30021
Range30020
Interquartile range (IQR)1012.25

Descriptive statistics

Standard deviation7138.0161
Coefficient of variation (CV)2.9315439
Kurtosis12.010041
Mean2434.9
Median Absolute Deviation (MAD)196
Skewness3.5979983
Sum73047
Variance50951274
MonotonicityNot monotonic
2023-12-10T23:55:11.113866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 2
 
6.7%
30021 1
 
3.3%
1106 1
 
3.3%
18 1
 
3.3%
1 1
 
3.3%
19 1
 
3.3%
611 1
 
3.3%
1993 1
 
3.3%
3658 1
 
3.3%
708 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
1 1
3.3%
2 2
6.7%
3 1
3.3%
10 1
3.3%
18 1
3.3%
19 1
3.3%
29 1
3.3%
30 1
3.3%
40 1
3.3%
41 1
3.3%
ValueCountFrequency (%)
30021 1
3.3%
26922 1
3.3%
3658 1
3.3%
2224 1
3.3%
1993 1
3.3%
1342 1
3.3%
1106 1
3.3%
1054 1
3.3%
1004 1
3.3%
842 1
3.3%

일요일매출건수합(COUNT_W1)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7755.0333
Minimum14
Maximum62296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:11.280494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile52.55
Q1691.75
median1337.5
Q33963.25
95-th percentile52244.45
Maximum62296
Range62282
Interquartile range (IQR)3271.5

Descriptive statistics

Standard deviation16689.051
Coefficient of variation (CV)2.1520283
Kurtosis6.1472796
Mean7755.0333
Median Absolute Deviation (MAD)857.5
Skewness2.6772264
Sum232651
Variance2.7852444 × 108
MonotonicityNot monotonic
2023-12-10T23:55:11.447327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
14 1
 
3.3%
18936 1
 
3.3%
1031 1
 
3.3%
1104 1
 
3.3%
387 1
 
3.3%
85 1
 
3.3%
1572 1
 
3.3%
62296 1
 
3.3%
1746 1
 
3.3%
959 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
14 1
3.3%
26 1
3.3%
85 1
3.3%
93 1
3.3%
387 1
3.3%
434 1
3.3%
526 1
3.3%
683 1
3.3%
718 1
3.3%
764 1
3.3%
ValueCountFrequency (%)
62296 1
3.3%
58346 1
3.3%
44787 1
3.3%
18936 1
3.3%
10560 1
3.3%
6306 1
3.3%
5445 1
3.3%
4523 1
3.3%
2284 1
3.3%
1996 1
3.3%

월요일매출건수합(COUNT_W2)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6197.8333
Minimum13
Maximum81167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:11.654629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile31.2
Q1244.25
median672
Q34877.25
95-th percentile23377.75
Maximum81167
Range81154
Interquartile range (IQR)4633

Descriptive statistics

Standard deviation15608.334
Coefficient of variation (CV)2.5183534
Kurtosis19.500857
Mean6197.8333
Median Absolute Deviation (MAD)596
Skewness4.20173
Sum185935
Variance2.436201 × 108
MonotonicityNot monotonic
2023-12-10T23:55:11.825463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
98 1
 
3.3%
407 1
 
3.3%
920 1
 
3.3%
2002 1
 
3.3%
489 1
 
3.3%
414 1
 
3.3%
5774 1
 
3.3%
81167 1
 
3.3%
831 1
 
3.3%
317 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
13 1
3.3%
24 1
3.3%
40 1
3.3%
54 1
3.3%
98 1
3.3%
187 1
3.3%
205 1
3.3%
234 1
3.3%
275 1
3.3%
317 1
3.3%
ValueCountFrequency (%)
81167 1
3.3%
30220 1
3.3%
15015 1
3.3%
12815 1
3.3%
11927 1
3.3%
10085 1
3.3%
5774 1
3.3%
5703 1
3.3%
2400 1
3.3%
2002 1
3.3%

화요일매출건수합(COUNT_W3)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4246.5667
Minimum11
Maximum41045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:12.015396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile25.95
Q1132.5
median1453
Q34365
95-th percentile12245.4
Maximum41045
Range41034
Interquartile range (IQR)4232.5

Descriptive statistics

Standard deviation7877.9927
Coefficient of variation (CV)1.855144
Kurtosis17.01539
Mean4246.5667
Median Absolute Deviation (MAD)1420
Skewness3.7970973
Sum127397
Variance62062769
MonotonicityNot monotonic
2023-12-10T23:55:12.199289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4533 1
 
3.3%
11 1
 
3.3%
3536 1
 
3.3%
10690 1
 
3.3%
41045 1
 
3.3%
9607 1
 
3.3%
21 1
 
3.3%
8265 1
 
3.3%
32 1
 
3.3%
960 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
11 1
3.3%
21 1
3.3%
32 1
3.3%
34 1
3.3%
55 1
3.3%
57 1
3.3%
68 1
3.3%
97 1
3.3%
239 1
3.3%
348 1
3.3%
ValueCountFrequency (%)
41045 1
3.3%
13518 1
3.3%
10690 1
3.3%
9607 1
3.3%
8776 1
3.3%
8265 1
3.3%
6006 1
3.3%
4533 1
3.3%
3861 1
3.3%
3536 1
3.3%

수요일매출건수합(COUNT_W4)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7719.1667
Minimum9
Maximum73512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:12.359762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile22.05
Q1136.5
median790.5
Q33872.75
95-th percentile48795.35
Maximum73512
Range73503
Interquartile range (IQR)3736.25

Descriptive statistics

Standard deviation17589.125
Coefficient of variation (CV)2.27863
Kurtosis7.7208977
Mean7719.1667
Median Absolute Deviation (MAD)745
Skewness2.855189
Sum231575
Variance3.093773 × 108
MonotonicityNot monotonic
2023-12-10T23:55:12.528056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
759 1
 
3.3%
1669 1
 
3.3%
94 1
 
3.3%
4471 1
 
3.3%
64 1
 
3.3%
311 1
 
3.3%
5904 1
 
3.3%
121 1
 
3.3%
134 1
 
3.3%
41856 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
9 1
3.3%
18 1
3.3%
27 1
3.3%
64 1
3.3%
94 1
3.3%
111 1
3.3%
121 1
3.3%
134 1
3.3%
144 1
3.3%
279 1
3.3%
ValueCountFrequency (%)
73512 1
3.3%
54473 1
3.3%
41856 1
3.3%
19553 1
3.3%
12507 1
3.3%
5904 1
3.3%
4919 1
3.3%
4471 1
3.3%
2078 1
3.3%
1810 1
3.3%

목요일매출건수합(COUNT_W5)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2939.9333
Minimum12
Maximum11894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:12.675134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile19.05
Q1168.75
median1123
Q34770.25
95-th percentile11588.15
Maximum11894
Range11882
Interquartile range (IQR)4601.5

Descriptive statistics

Standard deviation3789.7229
Coefficient of variation (CV)1.2890506
Kurtosis0.73880645
Mean2939.9333
Median Absolute Deviation (MAD)1015
Skewness1.3704674
Sum88198
Variance14362000
MonotonicityNot monotonic
2023-12-10T23:55:12.827297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
11894 1
 
3.3%
849 1
 
3.3%
850 1
 
3.3%
11594 1
 
3.3%
4483 1
 
3.3%
726 1
 
3.3%
420 1
 
3.3%
158 1
 
3.3%
270 1
 
3.3%
6185 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
12 1
3.3%
15 1
3.3%
24 1
3.3%
66 1
3.3%
106 1
3.3%
110 1
3.3%
158 1
3.3%
164 1
3.3%
183 1
3.3%
270 1
3.3%
ValueCountFrequency (%)
11894 1
3.3%
11594 1
3.3%
11581 1
3.3%
8030 1
3.3%
7820 1
3.3%
6185 1
3.3%
5356 1
3.3%
4866 1
3.3%
4483 1
3.3%
3377 1
3.3%

금요일매출건수합(COUNT_W6)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3660.4667
Minimum21
Maximum33276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:12.999329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile37.35
Q1197.25
median559
Q31964.75
95-th percentile18160.95
Maximum33276
Range33255
Interquartile range (IQR)1767.5

Descriptive statistics

Standard deviation7408.9081
Coefficient of variation (CV)2.0240338
Kurtosis8.8736914
Mean3660.4667
Median Absolute Deviation (MAD)455
Skewness2.8909761
Sum109814
Variance54891920
MonotonicityNot monotonic
2023-12-10T23:55:13.194486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
193 1
 
3.3%
2697 1
 
3.3%
696 1
 
3.3%
5979 1
 
3.3%
591 1
 
3.3%
124 1
 
3.3%
347 1
 
3.3%
138 1
 
3.3%
326 1
 
3.3%
425 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21 1
3.3%
36 1
3.3%
39 1
3.3%
84 1
3.3%
124 1
3.3%
137 1
3.3%
138 1
3.3%
193 1
3.3%
210 1
3.3%
326 1
3.3%
ValueCountFrequency (%)
33276 1
3.3%
19929 1
3.3%
16000 1
3.3%
10276 1
3.3%
8318 1
3.3%
5979 1
3.3%
2697 1
3.3%
1966 1
3.3%
1961 1
3.3%
1631 1
3.3%

토요일매출건수합(COUNT_W7)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4465.7333
Minimum0
Maximum39439
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:13.364980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.35
Q145.25
median319
Q31204.75
95-th percentile30246.15
Maximum39439
Range39439
Interquartile range (IQR)1159.5

Descriptive statistics

Standard deviation10196.238
Coefficient of variation (CV)2.2832169
Kurtosis6.3835079
Mean4465.7333
Median Absolute Deviation (MAD)313.5
Skewness2.6837732
Sum133972
Variance1.0396326 × 108
MonotonicityNot monotonic
2023-12-10T23:55:13.921179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 1
 
3.3%
785 1
 
3.3%
49 1
 
3.3%
165 1
 
3.3%
62 1
 
3.3%
3138 1
 
3.3%
4 1
 
3.3%
14 1
 
3.3%
6061 1
 
3.3%
123 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
1 1
3.3%
4 1
3.3%
7 1
3.3%
14 1
3.3%
28 1
3.3%
35 1
3.3%
44 1
3.3%
49 1
3.3%
62 1
3.3%
ValueCountFrequency (%)
39439 1
3.3%
34122 1
3.3%
25509 1
3.3%
12429 1
3.3%
6061 1
3.3%
5976 1
3.3%
3138 1
3.3%
1241 1
3.3%
1096 1
3.3%
1075 1
3.3%
Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5879.7
Minimum0
Maximum46379
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:14.122509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median69.5
Q33367.25
95-th percentile37198.25
Maximum46379
Range46379
Interquartile range (IQR)3366.25

Descriptive statistics

Standard deviation12452.481
Coefficient of variation (CV)2.117877
Kurtosis5.0937139
Mean5879.7
Median Absolute Deviation (MAD)69.5
Skewness2.4444392
Sum176391
Variance1.5506429 × 108
MonotonicityNot monotonic
2023-12-10T23:55:14.295946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 6
20.0%
1 4
 
13.3%
1326 1
 
3.3%
46379 1
 
3.3%
32515 1
 
3.3%
1654 1
 
3.3%
28 1
 
3.3%
6989 1
 
3.3%
73 1
 
3.3%
20 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 6
20.0%
1 4
13.3%
19 1
 
3.3%
20 1
 
3.3%
28 1
 
3.3%
32 1
 
3.3%
66 1
 
3.3%
73 1
 
3.3%
355 1
 
3.3%
702 1
 
3.3%
ValueCountFrequency (%)
46379 1
3.3%
41030 1
3.3%
32515 1
3.3%
19603 1
3.3%
12225 1
3.3%
6989 1
3.3%
5727 1
3.3%
3753 1
3.3%
2210 1
3.3%
1681 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1335.5333
Minimum2
Maximum13993
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:14.466295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile22.3
Q178.75
median335
Q31072.5
95-th percentile6551.15
Maximum13993
Range13991
Interquartile range (IQR)993.75

Descriptive statistics

Standard deviation2944.9313
Coefficient of variation (CV)2.2050601
Kurtosis12.840292
Mean1335.5333
Median Absolute Deviation (MAD)270
Skewness3.494272
Sum40066
Variance8672620.2
MonotonicityNot monotonic
2023-12-10T23:55:14.628479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3937 1
 
3.3%
349 1
 
3.3%
231 1
 
3.3%
16 1
 
3.3%
2 1
 
3.3%
1621 1
 
3.3%
1311 1
 
3.3%
1141 1
 
3.3%
542 1
 
3.3%
867 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2 1
3.3%
16 1
3.3%
30 1
3.3%
47 1
3.3%
48 1
3.3%
64 1
3.3%
66 1
3.3%
78 1
3.3%
81 1
3.3%
152 1
3.3%
ValueCountFrequency (%)
13993 1
3.3%
8690 1
3.3%
3937 1
3.3%
2985 1
3.3%
1621 1
3.3%
1311 1
3.3%
1208 1
3.3%
1141 1
3.3%
867 1
3.3%
542 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12399.933
Minimum11
Maximum185885
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:14.790088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile41.2
Q1869
median2485.5
Q38254
95-th percentile41732.05
Maximum185885
Range185874
Interquartile range (IQR)7385

Descriptive statistics

Standard deviation34502.493
Coefficient of variation (CV)2.7824741
Kurtosis23.853864
Mean12399.933
Median Absolute Deviation (MAD)2324.5
Skewness4.7273321
Sum371998
Variance1.190422 × 109
MonotonicityNot monotonic
2023-12-10T23:55:14.953151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1246 1
 
3.3%
3647 1
 
3.3%
185885 1
 
3.3%
50476 1
 
3.3%
2775 1
 
3.3%
67 1
 
3.3%
234 1
 
3.3%
31045 1
 
3.3%
2553 1
 
3.3%
15899 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
11 1
3.3%
25 1
3.3%
61 1
3.3%
67 1
3.3%
88 1
3.3%
234 1
3.3%
691 1
3.3%
844 1
3.3%
944 1
3.3%
971 1
3.3%
ValueCountFrequency (%)
185885 1
3.3%
50476 1
3.3%
31045 1
3.3%
20070 1
3.3%
15899 1
3.3%
10235 1
3.3%
8957 1
3.3%
8385 1
3.3%
7861 1
3.3%
4920 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8167.9333
Minimum56
Maximum62890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:15.133612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile81
Q1285.5
median1161
Q37107.75
95-th percentile38308.15
Maximum62890
Range62834
Interquartile range (IQR)6822.25

Descriptive statistics

Standard deviation14983.477
Coefficient of variation (CV)1.8344269
Kurtosis7.2475534
Mean8167.9333
Median Absolute Deviation (MAD)1080
Skewness2.6684477
Sum245038
Variance2.2450457 × 108
MonotonicityNot monotonic
2023-12-10T23:55:15.335706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
81 2
 
6.7%
430 1
 
3.3%
2901 1
 
3.3%
16648 1
 
3.3%
209 1
 
3.3%
1317 1
 
3.3%
520 1
 
3.3%
5516 1
 
3.3%
7421 1
 
3.3%
357 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
56 1
3.3%
81 2
6.7%
85 1
3.3%
101 1
3.3%
209 1
3.3%
234 1
3.3%
277 1
3.3%
311 1
3.3%
357 1
3.3%
430 1
3.3%
ValueCountFrequency (%)
62890 1
3.3%
51301 1
3.3%
22428 1
3.3%
20726 1
3.3%
19179 1
3.3%
16648 1
3.3%
13031 1
3.3%
7421 1
3.3%
6168 1
3.3%
5516 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17595.933
Minimum137
Maximum136522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:15.808821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137
5-th percentile186.25
Q1371.25
median1448.5
Q39149.5
95-th percentile118523.8
Maximum136522
Range136385
Interquartile range (IQR)8778.25

Descriptive statistics

Standard deviation37951.627
Coefficient of variation (CV)2.1568408
Kurtosis5.1242206
Mean17595.933
Median Absolute Deviation (MAD)1150.5
Skewness2.4942971
Sum527878
Variance1.440326 × 109
MonotonicityNot monotonic
2023-12-10T23:55:16.446023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
19285 1
 
3.3%
369 1
 
3.3%
2059 1
 
3.3%
126793 1
 
3.3%
137 1
 
3.3%
2999 1
 
3.3%
683 1
 
3.3%
4880 1
 
3.3%
136522 1
 
3.3%
8254 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
137 1
3.3%
166 1
3.3%
211 1
3.3%
296 1
3.3%
300 1
3.3%
314 1
3.3%
360 1
3.3%
369 1
3.3%
378 1
3.3%
664 1
3.3%
ValueCountFrequency (%)
136522 1
3.3%
126793 1
3.3%
108417 1
3.3%
54941 1
3.3%
29472 1
3.3%
19285 1
3.3%
10896 1
3.3%
9448 1
3.3%
8254 1
3.3%
4880 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10423.533
Minimum11
Maximum174985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:16.924776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15.45
Q1315
median1408.5
Q34768
95-th percentile40542.65
Maximum174985
Range174974
Interquartile range (IQR)4453

Descriptive statistics

Standard deviation32700.869
Coefficient of variation (CV)3.1372154
Kurtosis23.972356
Mean10423.533
Median Absolute Deviation (MAD)1322
Skewness4.7622066
Sum312706
Variance1.0693468 × 109
MonotonicityNot monotonic
2023-12-10T23:55:17.183394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6925 1
 
3.3%
351 1
 
3.3%
11 1
 
3.3%
1292 1
 
3.3%
1204 1
 
3.3%
1525 1
 
3.3%
2393 1
 
3.3%
31 1
 
3.3%
303 1
 
3.3%
6893 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
11 1
3.3%
15 1
3.3%
16 1
3.3%
31 1
3.3%
45 1
3.3%
128 1
3.3%
257 1
3.3%
303 1
3.3%
351 1
3.3%
474 1
3.3%
ValueCountFrequency (%)
174985 1
3.3%
50390 1
3.3%
28507 1
3.3%
8868 1
3.3%
6925 1
3.3%
6893 1
3.3%
6788 1
3.3%
5145 1
3.3%
3637 1
3.3%
3299 1
3.3%
Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.833333
Minimum0
Maximum2223
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:17.407250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321.25
95-th percentile205.4
Maximum2223
Range2223
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation405.00499
Coefficient of variation (CV)4.0978582
Kurtosis28.764335
Mean98.833333
Median Absolute Deviation (MAD)2
Skewness5.3201958
Sum2965
Variance164029.04
MonotonicityNot monotonic
2023-12-10T23:55:17.576550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 14
46.7%
2 3
 
10.0%
117 1
 
3.3%
25 1
 
3.3%
5 1
 
3.3%
10 1
 
3.3%
236 1
 
3.3%
9 1
 
3.3%
168 1
 
3.3%
35 1
 
3.3%
Other values (5) 5
 
16.7%
ValueCountFrequency (%)
0 14
46.7%
2 3
 
10.0%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
25 1
 
3.3%
35 1
 
3.3%
37 1
 
3.3%
ValueCountFrequency (%)
2223 1
3.3%
236 1
3.3%
168 1
3.3%
117 1
3.3%
84 1
3.3%
37 1
3.3%
35 1
3.3%
25 1
3.3%
10 1
3.3%
9 1
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1347.4
Minimum0
Maximum26323
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:17.750708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q113.25
median80
Q3367.5
95-th percentile4701.45
Maximum26323
Range26323
Interquartile range (IQR)354.25

Descriptive statistics

Standard deviation4898.5332
Coefficient of variation (CV)3.6355449
Kurtosis25.416878
Mean1347.4
Median Absolute Deviation (MAD)77
Skewness4.9434345
Sum40422
Variance23995628
MonotonicityNot monotonic
2023-12-10T23:55:17.954671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6 2
 
6.7%
2 2
 
6.7%
124 2
 
6.7%
0 2
 
6.7%
290 1
 
3.3%
30 1
 
3.3%
26 1
 
3.3%
235 1
 
3.3%
65 1
 
3.3%
7158 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0 2
6.7%
2 2
6.7%
4 1
3.3%
6 2
6.7%
12 1
3.3%
17 1
3.3%
26 1
3.3%
30 1
3.3%
43 1
3.3%
49 1
3.3%
ValueCountFrequency (%)
26323 1
3.3%
7158 1
3.3%
1699 1
3.3%
1239 1
3.3%
805 1
3.3%
603 1
3.3%
550 1
3.3%
383 1
3.3%
321 1
3.3%
290 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.3
Minimum6
Maximum2550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:18.116034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q144
median104
Q3177.25
95-th percentile1152.4
Maximum2550
Range2544
Interquartile range (IQR)133.25

Descriptive statistics

Standard deviation523.49206
Coefficient of variation (CV)1.9224828
Kurtosis13.419354
Mean272.3
Median Absolute Deviation (MAD)62.5
Skewness3.5491453
Sum8169
Variance274043.94
MonotonicityNot monotonic
2023-12-10T23:55:18.309603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
6 3
 
10.0%
95 1
 
3.3%
73 1
 
3.3%
134 1
 
3.3%
42 1
 
3.3%
141 1
 
3.3%
96 1
 
3.3%
112 1
 
3.3%
1552 1
 
3.3%
402 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
6 3
10.0%
14 1
 
3.3%
26 1
 
3.3%
30 1
 
3.3%
41 1
 
3.3%
42 1
 
3.3%
50 1
 
3.3%
57 1
 
3.3%
73 1
 
3.3%
78 1
 
3.3%
ValueCountFrequency (%)
2550 1
3.3%
1552 1
3.3%
664 1
3.3%
418 1
3.3%
410 1
3.3%
402 1
3.3%
314 1
3.3%
185 1
3.3%
154 1
3.3%
149 1
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407.4
Minimum0
Maximum5438
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:18.476039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q136
median113
Q3229.75
95-th percentile1784.35
Maximum5438
Range5438
Interquartile range (IQR)193.75

Descriptive statistics

Standard deviation1057.6545
Coefficient of variation (CV)2.5961081
Kurtosis19.028915
Mean407.4
Median Absolute Deviation (MAD)105.5
Skewness4.2356518
Sum12222
Variance1118632.9
MonotonicityNot monotonic
2023-12-10T23:55:18.627765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
2 4
 
13.3%
6 2
 
6.7%
0 1
 
3.3%
381 1
 
3.3%
52 1
 
3.3%
154 1
 
3.3%
39 1
 
3.3%
64 1
 
3.3%
348 1
 
3.3%
194 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0 1
 
3.3%
2 4
13.3%
6 2
6.7%
35 1
 
3.3%
39 1
 
3.3%
52 1
 
3.3%
54 1
 
3.3%
64 1
 
3.3%
84 1
 
3.3%
96 1
 
3.3%
ValueCountFrequency (%)
5438 1
3.3%
2494 1
3.3%
917 1
3.3%
381 1
3.3%
356 1
3.3%
348 1
3.3%
270 1
3.3%
234 1
3.3%
217 1
3.3%
214 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256.5
Minimum4
Maximum1372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:18.778693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q127.5
median109.5
Q3400.75
95-th percentile765.75
Maximum1372
Range1368
Interquartile range (IQR)373.25

Descriptive statistics

Standard deviation321.50055
Coefficient of variation (CV)1.2534134
Kurtosis3.6981483
Mean256.5
Median Absolute Deviation (MAD)100.5
Skewness1.7984237
Sum7695
Variance103362.6
MonotonicityNot monotonic
2023-12-10T23:55:18.937305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
46 2
 
6.7%
8 2
 
6.7%
32 1
 
3.3%
221 1
 
3.3%
26 1
 
3.3%
763 1
 
3.3%
322 1
 
3.3%
17 1
 
3.3%
554 1
 
3.3%
130 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
4 1
3.3%
8 2
6.7%
10 1
3.3%
14 1
3.3%
17 1
3.3%
24 1
3.3%
26 1
3.3%
32 1
3.3%
46 2
6.7%
47 1
3.3%
ValueCountFrequency (%)
1372 1
3.3%
768 1
3.3%
763 1
3.3%
669 1
3.3%
559 1
3.3%
554 1
3.3%
491 1
3.3%
427 1
3.3%
322 1
3.3%
312 1
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.7
Minimum0
Maximum978
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:19.113487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.25
median36.5
Q399.75
95-th percentile499.5
Maximum978
Range978
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation208.69019
Coefficient of variation (CV)1.9743632
Kurtosis11.624091
Mean105.7
Median Absolute Deviation (MAD)34.5
Skewness3.3269745
Sum3171
Variance43551.597
MonotonicityNot monotonic
2023-12-10T23:55:19.277916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 3
 
10.0%
0 3
 
10.0%
8 2
 
6.7%
30 1
 
3.3%
122 1
 
3.3%
4 1
 
3.3%
105 1
 
3.3%
6 1
 
3.3%
106 1
 
3.3%
82 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 3
10.0%
2 3
10.0%
4 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 2
6.7%
10 1
 
3.3%
18 1
 
3.3%
30 1
 
3.3%
31 1
 
3.3%
ValueCountFrequency (%)
978 1
3.3%
648 1
3.3%
318 1
3.3%
184 1
3.3%
124 1
3.3%
122 1
3.3%
106 1
3.3%
105 1
3.3%
84 1
3.3%
82 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13286.033
Minimum1084
Maximum44610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:19.434579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1084
5-th percentile3236.75
Q15616.5
median10669
Q316540.25
95-th percentile32259.75
Maximum44610
Range43526
Interquartile range (IQR)10923.75

Descriptive statistics

Standard deviation10229.826
Coefficient of variation (CV)0.76996838
Kurtosis1.9802956
Mean13286.033
Median Absolute Deviation (MAD)5225
Skewness1.4357809
Sum398581
Variance1.0464933 × 108
MonotonicityNot monotonic
2023-12-10T23:55:19.587774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3883 1
 
3.3%
30882 1
 
3.3%
15288 1
 
3.3%
12127 1
 
3.3%
19305 1
 
3.3%
6116 1
 
3.3%
4290 1
 
3.3%
5024 1
 
3.3%
1084 1
 
3.3%
11777 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1084 1
3.3%
2708 1
3.3%
3883 1
3.3%
4290 1
3.3%
4421 1
3.3%
5024 1
3.3%
5438 1
3.3%
5450 1
3.3%
6116 1
3.3%
6650 1
3.3%
ValueCountFrequency (%)
44610 1
3.3%
33387 1
3.3%
30882 1
3.3%
29327 1
3.3%
22694 1
3.3%
19305 1
3.3%
17498 1
3.3%
16887 1
3.3%
15500 1
3.3%
15288 1
3.3%
Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8666667
Minimum0
Maximum11
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:19.719439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4.55
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1129051
Coefficient of variation (CV)1.1319134
Kurtosis11.879779
Mean1.8666667
Median Absolute Deviation (MAD)1
Skewness3.0075029
Sum56
Variance4.4643678
MonotonicityNot monotonic
2023-12-10T23:55:19.883257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 12
40.0%
2 6
20.0%
0 5
16.7%
3 4
 
13.3%
5 1
 
3.3%
4 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
0 5
16.7%
1 12
40.0%
2 6
20.0%
3 4
 
13.3%
4 1
 
3.3%
5 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
11 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
3 4
 
13.3%
2 6
20.0%
1 12
40.0%
0 5
16.7%
Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.233333
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:20.027221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q14
median9
Q315.5
95-th percentile44.3
Maximum167
Range166
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation30.521539
Coefficient of variation (CV)1.7710758
Kurtosis21.335936
Mean17.233333
Median Absolute Deviation (MAD)5.5
Skewness4.373572
Sum517
Variance931.56437
MonotonicityNot monotonic
2023-12-10T23:55:20.154727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3 5
16.7%
12 4
13.3%
5 3
 
10.0%
14 2
 
6.7%
6 2
 
6.7%
4 2
 
6.7%
32 1
 
3.3%
24 1
 
3.3%
10 1
 
3.3%
1 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
1 1
 
3.3%
2 1
 
3.3%
3 5
16.7%
4 2
 
6.7%
5 3
10.0%
6 2
 
6.7%
8 1
 
3.3%
10 1
 
3.3%
12 4
13.3%
14 2
 
6.7%
ValueCountFrequency (%)
167 1
 
3.3%
47 1
 
3.3%
41 1
 
3.3%
32 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
20 1
 
3.3%
16 1
 
3.3%
14 2
6.7%
12 4
13.3%
Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.7
Minimum1
Maximum261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:20.321023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17.5
median13
Q328.75
95-th percentile191.65
Maximum261
Range260
Interquartile range (IQR)21.25

Descriptive statistics

Standard deviation63.430739
Coefficient of variation (CV)1.7767714
Kurtosis8.0907282
Mean35.7
Median Absolute Deviation (MAD)9.5
Skewness2.9376886
Sum1071
Variance4023.4586
MonotonicityNot monotonic
2023-12-10T23:55:20.508605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9 4
 
13.3%
4 3
 
10.0%
2 2
 
6.7%
13 2
 
6.7%
15 1
 
3.3%
11 1
 
3.3%
31 1
 
3.3%
135 1
 
3.3%
12 1
 
3.3%
238 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
1 1
 
3.3%
2 2
6.7%
4 3
10.0%
5 1
 
3.3%
7 1
 
3.3%
9 4
13.3%
11 1
 
3.3%
12 1
 
3.3%
13 2
6.7%
15 1
 
3.3%
ValueCountFrequency (%)
261 1
3.3%
238 1
3.3%
135 1
3.3%
59 1
3.3%
36 1
3.3%
35 1
3.3%
31 1
3.3%
29 1
3.3%
28 1
3.3%
25 1
3.3%
Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.233333
Minimum2
Maximum545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:20.663854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q17
median19.5
Q340.5
95-th percentile414.15
Maximum545
Range543
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation135.80937
Coefficient of variation (CV)2.0504686
Kurtosis7.0842394
Mean66.233333
Median Absolute Deviation (MAD)14.5
Skewness2.8290765
Sum1987
Variance18444.185
MonotonicityNot monotonic
2023-12-10T23:55:20.823363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5 3
 
10.0%
41 3
 
10.0%
22 2
 
6.7%
7 2
 
6.7%
25 2
 
6.7%
15 2
 
6.7%
2 2
 
6.7%
14 1
 
3.3%
29 1
 
3.3%
119 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
2 2
6.7%
4 1
 
3.3%
5 3
10.0%
6 1
 
3.3%
7 2
6.7%
9 1
 
3.3%
12 1
 
3.3%
14 1
 
3.3%
15 2
6.7%
17 1
 
3.3%
ValueCountFrequency (%)
545 1
 
3.3%
456 1
 
3.3%
363 1
 
3.3%
119 1
 
3.3%
56 1
 
3.3%
41 3
10.0%
39 1
 
3.3%
38 1
 
3.3%
29 1
 
3.3%
25 2
6.7%
Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.833333
Minimum0
Maximum480
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:20.976759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15.25
median17.5
Q345.25
95-th percentile95.35
Maximum480
Range480
Interquartile range (IQR)40

Descriptive statistics

Standard deviation86.843928
Coefficient of variation (CV)2.0759505
Kurtosis24.189967
Mean41.833333
Median Absolute Deviation (MAD)14.5
Skewness4.7276519
Sum1255
Variance7541.8678
MonotonicityNot monotonic
2023-12-10T23:55:21.151969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 3
 
10.0%
4 2
 
6.7%
16 2
 
6.7%
2 2
 
6.7%
6 2
 
6.7%
22 1
 
3.3%
36 1
 
3.3%
19 1
 
3.3%
7 1
 
3.3%
56 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 1
 
3.3%
2 2
6.7%
4 2
6.7%
5 3
10.0%
6 2
6.7%
7 1
 
3.3%
11 1
 
3.3%
15 1
 
3.3%
16 2
6.7%
19 1
 
3.3%
ValueCountFrequency (%)
480 1
3.3%
112 1
3.3%
75 1
3.3%
58 1
3.3%
56 1
3.3%
54 1
3.3%
48 1
3.3%
46 1
3.3%
43 1
3.3%
42 1
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.366667
Minimum0
Maximum135
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:21.378136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.25
median10
Q332
95-th percentile93.7
Maximum135
Range135
Interquartile range (IQR)26.75

Descriptive statistics

Standard deviation32.160678
Coefficient of variation (CV)1.3198637
Kurtosis4.6427881
Mean24.366667
Median Absolute Deviation (MAD)9.5
Skewness2.1572429
Sum731
Variance1034.3092
MonotonicityNot monotonic
2023-12-10T23:55:21.549099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10 3
 
10.0%
0 3
 
10.0%
6 2
 
6.7%
29 1
 
3.3%
42 1
 
3.3%
35 1
 
3.3%
20 1
 
3.3%
8 1
 
3.3%
86 1
 
3.3%
24 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 3
10.0%
1 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 2
6.7%
7 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
135 1
3.3%
100 1
3.3%
86 1
3.3%
59 1
3.3%
42 1
3.3%
36 1
3.3%
35 1
3.3%
33 1
3.3%
29 1
3.3%
24 1
3.3%
Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.3
Minimum0
Maximum266
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:21.720669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q16
median9
Q315
95-th percentile117.65
Maximum266
Range266
Interquartile range (IQR)9

Descriptive statistics

Standard deviation55.942181
Coefficient of variation (CV)2.2111534
Kurtosis13.826627
Mean25.3
Median Absolute Deviation (MAD)5
Skewness3.7225391
Sum759
Variance3129.5276
MonotonicityNot monotonic
2023-12-10T23:55:22.350334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
6 5
16.7%
4 3
 
10.0%
15 3
 
10.0%
0 2
 
6.7%
8 2
 
6.7%
11 2
 
6.7%
266 1
 
3.3%
7 1
 
3.3%
1 1
 
3.3%
30 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 2
 
6.7%
1 1
 
3.3%
3 1
 
3.3%
4 3
10.0%
6 5
16.7%
7 1
 
3.3%
8 2
 
6.7%
10 1
 
3.3%
11 2
 
6.7%
12 1
 
3.3%
ValueCountFrequency (%)
266 1
 
3.3%
182 1
 
3.3%
39 1
 
3.3%
36 1
 
3.3%
30 1
 
3.3%
19 1
 
3.3%
16 1
 
3.3%
15 3
10.0%
13 1
 
3.3%
12 1
 
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.93333
Minimum8
Maximum1622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:55:22.515299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12.6
Q139.75
median62
Q393.75
95-th percentile265.75
Maximum1622
Range1614
Interquartile range (IQR)54

Descriptive statistics

Standard deviation289.62627
Coefficient of variation (CV)2.1306493
Kurtosis26.080829
Mean135.93333
Median Absolute Deviation (MAD)27
Skewness4.9744803
Sum4078
Variance83883.375
MonotonicityNot monotonic
2023-12-10T23:55:22.705161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
62 2
 
6.7%
35 2
 
6.7%
177 2
 
6.7%
54 2
 
6.7%
75 1
 
3.3%
17 1
 
3.3%
50 1
 
3.3%
9 1
 
3.3%
208 1
 
3.3%
95 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
8 1
3.3%
9 1
3.3%
17 1
3.3%
25 1
3.3%
27 1
3.3%
35 2
6.7%
38 1
3.3%
45 1
3.3%
48 1
3.3%
50 1
3.3%
ValueCountFrequency (%)
1622 1
3.3%
313 1
3.3%
208 1
3.3%
206 1
3.3%
186 1
3.3%
177 2
6.7%
95 1
3.3%
90 1
3.3%
84 1
3.3%
78 1
3.3%

Sample

기준년월(YMD)구코드(GU_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)
02015081120000000SQ10입시보습학원6315042002667875581178380006569511918224455118043428917895004050076191741201758650061147238962241717911700494630086500001839000703587781637900168639365359654502623797319426573114931000608300211498453375911894193013263937124643019285692506950323038831321522429662
12015071174000000SD06정육점1213490075148096054226000274000225028096431830516156184863474892111015004782780941780016561207515690035187203315007177810037367760193600038350470280850902284157104038000159227710682341094161446381501106198915236874513961600096164492093229472678803832550548827081544564816654
22014021117000000SF11치킨전문점82191967407998748104136495319250302130032860011750005150001235126294140000589252651475053032771805529076120328849140905509702610982715783345410970700516366629998024079164608602042565009182611244131718152167228475433441082209821719304652513013601611755041814214101049613247016206
32014061162000000SD09여관업32613951582023228560019962210112430010656003635102954048273200839652470781310423532100197140013562500182283480473016858683170292484840129140066660005221706589248001513763824338615084319054742781619831546502817981524478730220348686115815094731960335583852343001128252139270464916887120438112331548
42015011111000000SD03슈퍼마켓283372600063482385213030800141087006389900304211343106376320432010604815290541092434588480049174800378507601018888522758900831681002336465013370549604195002418900518520008825490544769683590378621658357332534154455612953161212135035129178615112148116195805154917768814461013261171641535
52014051120000000SF22양식음식점711877086049668970480385421260009869526073281900869000209400032222206386276333754690310869665835930065912535014386000155000025488501039005878360513783208177585844240657690178686215951342444342756671955316278811075375381881011416503901049131217193318149901635255810025
62014061171000000SF03의류점55272694013090319151780459113000436041069208325162163015718365297923000012811985049010326203165509282038441615745535461150025453600498230041085002069966483105100293434995940032901229115720480212152437010237339334052613543118833771961533702406971277166850012306241846650016593901978
72014041154500000SF08당구장701430155089511824447264310230001456549102307673486980309054361003237844016658628027546100255443506478538009074032861798287557667300016546438310140002631506102282804203372129975145881388412366205474772093637343967128158776125071521066572713993616289011232850701465023447422932703593634806838
82014031138000000SQ04치과의원73106001164607201256988003472900180906206146430361238536290610005041629241511120009594180855327117147160026855140416029004151005334494034818510121697410386841231429431004145030142325010230532153832854882301399590974919782033276109635547241874794484501762141372648144752231325466373
92015121135000000SQ01피씨방4463134338029426100766557004554201403000256786005072631748208610002004175721346524109066002221200067135996284820571460440249660282000166401202851390095860771812672723122470025275943971120423364393676931333402398221108318103211418616821120392361239949646754501167754561016186
기준년월(YMD)구코드(GU_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)
202015111159000000SF07당구장54511125951529332416543800002680600131889310216052185399051968580148055894600584834971391750013319320280068845269846006900471159797550175400005653751813301569111838128972000246803050511217194819106426922134220548918486639341220298589571303121424748401858442755887431212394213526684
212015091154500000SD08예체능학원1836170933019047290511237340019499181255750305343921150151510060138058112386108205270170612170307609600748106659082209414912757078598004821906632200017946500312350294069998171489852199113736672345176611897085834689134544731831027660641030419691191791137514501699635972333872411352256101369
222015081111000000SQ05커피음료점2490552520047843007531351951367290409919948111451039725671004434661315743000037997001166385402919741001440460087270001216622004794889001109339501016365051132304699931572596303913945371278194913033736589593179604185661854251232086715899568254689304141944913111777313112591195
232016011171000000SF11피부관리실15481408469726869470095222771196000065215907012338742313461720627257960023346102095100861700194267131301790002901077806468500231160002281476284848900012145948055539410115025401841070191064163254625941163199317468313213427032660617354225533571365223030434022130010841129417140208
242016021132000000SD02치킨전문점9501968990801504560040000003377044216148695203748806117410045820029486130244958574090697680114418580125361040450047006012352512089250986131021429090142344073210930346243494745945946223100238102283290143026229681167826512115813814698911413104574214880314715815526554845024252119424159
252015101141000000SF12슈퍼마켓3593260422858195574013689184181821014739173268550003998412024400055633102979418039037082401120006362304617225190552583001056314544101645804080020650837033354330029566071873456925585375212909942673469916886111572577421590442034741131123455166832393065112348178242900104152861050
262015071130500000SF05노래방976590008808260044880001994250127030423116101364113398004236084338184004122495016573838165413610156110001247000729357005823700150506605531560545945020432519921019929032412870121510458136621863011168941452198541496073117261243138281621675202999152562359664810661162311411983035
272015021153000000SF13일반의원87679992025147856402434034001117376903096334000456191006284095032796790106128072648742975813652444970148464346865373433186150001299074759144433011993688327932269024551450127613780403614051621936203331099323874894104564448359162165422775131713712042261413932261930506955201177
282015031147000000SD05컴퓨터판매수리225436690045761211672106715167353508934201217792062603039616407398570650870709498850020007810124215140786677251619279050100430585421581002049604862578117555005323384057003924000278986005578481160515425170646681254597011104200210690447111594597916501650476209126793129203042154763105121272149760854
292015101132000000SF05커피음료점5341299710354956104456793245790679107242021569000002940450069494490171734002594772011068333686297020150400036160765748190091446150061093501986860083519190216073707925000735142887712260883722877132031810319203536948506964932515231185885166482059113761345226415288111413293635717