Overview

Dataset statistics

Number of variables168
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.4 KiB
Average record size in memory1.5 KiB

Variable types

Numeric145
Text1
Categorical22

Dataset

Description샘플 데이터
Author서울시, 신한은행
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=319

Alerts

아동/주니어가구(C01_08) has constant value ""Constant
아로마/캔들용품(C01_10) has constant value ""Constant
이미용가구(C01_12) has constant value ""Constant
건강용품(C04_02) has constant value ""Constant
과자/간식(C06_03) has constant value ""Constant
농산물(C06_05) has constant value ""Constant
수산물(C06_07) has constant value ""Constant
음료(C06_10) has constant value ""Constant
축산(C06_11) has constant value ""Constant
유모차/보행기/유아발육용품(C07_04) has constant value ""Constant
유아위생용품(C07_06) has constant value ""Constant
선글라스/안경(C09_02) has constant value ""Constant
시계(C09_03) has constant value ""Constant
주얼리(C09_06) has constant value ""Constant
헤어액세서리(C09_09) has constant value ""Constant
침실제품(C01_16) has unique valuesUnique
도서/음반(C02_01) has unique valuesUnique
컴퓨터(C03_15) has unique valuesUnique
휴대폰(C03_18) has unique valuesUnique
건강관리/건강측정(C04_01) has unique valuesUnique
문구/사무용품(C04_08) has unique valuesUnique
생활용품(C04_10) has unique valuesUnique
수납/정리용품(C04_11) has unique valuesUnique
애완(C04_14) has unique valuesUnique
주방용품(C04_22) has unique valuesUnique
건강식품(C06_02) has unique valuesUnique
신선식품(C06_09) has unique valuesUnique
언더웨어/잠옷(C08_01) has unique valuesUnique
의류(C08_02) has unique valuesUnique
패션의류기타(C08_03) has unique valuesUnique
신발(C09_04) has unique valuesUnique
액세서리(C09_05) has unique valuesUnique
패션소품(C09_07) has unique valuesUnique
기초화장품(C10_01) has unique valuesUnique
바디용품(C10_03) has unique valuesUnique
가구/인테리어(C01) has unique valuesUnique
도서/음반(C02) has unique valuesUnique
생활건강(C04) has unique valuesUnique
스포츠/레저(C05) has unique valuesUnique
식품(C06) has unique valuesUnique
패션의류(C08) has unique valuesUnique
패션잡화(C09) has unique valuesUnique
화장품/미용(C10) has unique valuesUnique
홈스토리_시청채널수(I0001_N_CST) has unique valuesUnique
홈스토리_시청시간(I0001_VIEW_TM) has unique valuesUnique
영화_시청채널수(I0003_N_CST) has unique valuesUnique
영화_시청시간(I0003_VIEW_TM) has unique valuesUnique
뷰티_시청시간(I0004_VIEW_TM) has unique valuesUnique
생활건강_시청채널수(I0005_N_CST) has unique valuesUnique
생활건강_시청시간(I0005_VIEW_TM) has unique valuesUnique
스포츠_시청채널수(I0006_N_CST) has unique valuesUnique
스포츠_시청시간(I0006_VIEW_TM) has unique valuesUnique
먹방_시청채널수(I0007_N_CST) has unique valuesUnique
먹방_시청시간(I0007_VIEW_TM) has unique valuesUnique
대중음악_시청채널수(I0008_N_CST) has unique valuesUnique
육아_예능_시청채널수(I0009_N_CST) has unique valuesUnique
육아_예능_시청시간(I0009_VIEW_TM) has unique valuesUnique
키즈_시청채널수(I0010_N_CST) has unique valuesUnique
키즈_시청시간(I0010_VIEW_TM) has unique valuesUnique
홈쇼핑_시청채널수(I0011_N_CST) has unique valuesUnique
홈쇼핑_시청시간(I0011_VIEW_TM) has unique valuesUnique
총수신평잔_총액(DEP_TOT_AVJN_TOT) has unique valuesUnique
총수신평잔_건수(DEP_TOT_AVJN_N) has unique valuesUnique
유동성급여_유동성연금_입금_건수(I_PAY_PENS_AMT_N) has unique valuesUnique
유동성급여_유동성연금_입금_총액(I_PAY_PENS_AMT_TOT) has unique valuesUnique
신용카드_체크카드_현금소비_현금인출_건수(C_TOT_AMT_N) has unique valuesUnique
신용카드_체크카드_현금소비_현금인출_총액(C_TOT_AMT_TOT) has unique valuesUnique
광학기기/광학용품(C03_03) has 6 (20.0%) zerosZeros
학습기기(C03_17) has 6 (20.0%) zerosZeros
유아생활용품(C04_17) has 1 (3.3%) zerosZeros
유아위생용품(C04_18) has 1 (3.3%) zerosZeros
권투(C05_03) has 2 (6.7%) zerosZeros
농구(C05_05) has 4 (13.3%) zerosZeros
배드민턴(C05_09) has 7 (23.3%) zerosZeros
볼링(C05_10) has 6 (20.0%) zerosZeros
스테이트/보드/롤러(C05_12) has 10 (33.3%) zerosZeros
스포츠레저기타(C05_16) has 5 (16.7%) zerosZeros
오토바이/스쿠터(C05_19) has 1 (3.3%) zerosZeros
자전거(C05_22) has 1 (3.3%) zerosZeros
족구(C05_23) has 9 (30.0%) zerosZeros
탁구(C05_26) has 4 (13.3%) zerosZeros
테니스(C05_27) has 2 (6.7%) zerosZeros
유아안전용품(C07_05) has 1 (3.3%) zerosZeros

Reproduction

Analysis started2023-12-10 14:58:39.711108
Analysis finished2023-12-10 14:58:41.839545
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월(BASE_YYMM)
Real number (ℝ)

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201905.27
Minimum201901
Maximum201912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:41.947093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201901
5-th percentile201901
Q1201902
median201904
Q3201908.75
95-th percentile201911.55
Maximum201912
Range11
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation3.8410966
Coefficient of variation (CV)1.9024252 × 10-5
Kurtosis-1.2714435
Mean201905.27
Median Absolute Deviation (MAD)3
Skewness0.47795294
Sum6057158
Variance14.754023
MonotonicityNot monotonic
2023-12-10T23:58:42.147568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
201901 6
20.0%
201903 4
13.3%
201902 4
13.3%
201910 3
10.0%
201907 2
 
6.7%
201912 2
 
6.7%
201904 2
 
6.7%
201911 2
 
6.7%
201906 2
 
6.7%
201905 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
201901 6
20.0%
201902 4
13.3%
201903 4
13.3%
201904 2
 
6.7%
201905 1
 
3.3%
201906 2
 
6.7%
201907 2
 
6.7%
201908 1
 
3.3%
201909 1
 
3.3%
201910 3
10.0%
ValueCountFrequency (%)
201912 2
6.7%
201911 2
6.7%
201910 3
10.0%
201909 1
 
3.3%
201908 1
 
3.3%
201907 2
6.7%
201906 2
6.7%
201905 1
 
3.3%
201904 2
6.7%
201903 4
13.3%
Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:58:42.448899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters210
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)30.0%

Sample

1st row1*0*6*4
2nd row1*0*1*4
3rd row1*0*0*4
4th row1*0*4*1
5th row1*0*8*4
ValueCountFrequency (%)
1*0*8*4 3
 
10.0%
1*0*8*7 3
 
10.0%
1*0*0*3 3
 
10.0%
1*0*6*4 2
 
6.7%
1*0*6*5 2
 
6.7%
1*0*1*1 2
 
6.7%
1*0*9*5 2
 
6.7%
1*0*9*7 2
 
6.7%
1*0*4*1 2
 
6.7%
1*0*1*2 1
 
3.3%
Other values (8) 8
26.7%
2023-12-10T23:58:42.988074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 90
42.9%
1 41
19.5%
0 34
 
16.2%
4 9
 
4.3%
8 7
 
3.3%
3 6
 
2.9%
7 6
 
2.9%
6 5
 
2.4%
9 5
 
2.4%
5 4
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
57.1%
Other Punctuation 90
42.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 41
34.2%
0 34
28.3%
4 9
 
7.5%
8 7
 
5.8%
3 6
 
5.0%
7 6
 
5.0%
6 5
 
4.2%
9 5
 
4.2%
5 4
 
3.3%
2 3
 
2.5%
Other Punctuation
ValueCountFrequency (%)
* 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 90
42.9%
1 41
19.5%
0 34
 
16.2%
4 9
 
4.3%
8 7
 
3.3%
3 6
 
2.9%
7 6
 
2.9%
6 5
 
2.4%
9 5
 
2.4%
5 4
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 90
42.9%
1 41
19.5%
0 34
 
16.2%
4 9
 
4.3%
8 7
 
3.3%
3 6
 
2.9%
7 6
 
2.9%
6 5
 
2.4%
9 5
 
2.4%
5 4
 
1.9%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.53333
Minimum30
Maximum238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:43.252060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile51.7
Q183.25
median98
Q3132
95-th percentile210.75
Maximum238
Range208
Interquartile range (IQR)48.75

Descriptive statistics

Standard deviation50.008091
Coefficient of variation (CV)0.44836902
Kurtosis0.54697799
Mean111.53333
Median Absolute Deviation (MAD)26.5
Skewness0.9418264
Sum3346
Variance2500.8092
MonotonicityNot monotonic
2023-12-10T23:58:43.470860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
95 2
 
6.7%
100 2
 
6.7%
87 2
 
6.7%
174 2
 
6.7%
126 1
 
3.3%
55 1
 
3.3%
213 1
 
3.3%
134 1
 
3.3%
135 1
 
3.3%
96 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
30 1
3.3%
49 1
3.3%
55 1
3.3%
56 1
3.3%
70 1
3.3%
71 1
3.3%
79 1
3.3%
82 1
3.3%
87 2
6.7%
89 1
3.3%
ValueCountFrequency (%)
238 1
3.3%
213 1
3.3%
208 1
3.3%
174 2
6.7%
159 1
3.3%
135 1
3.3%
134 1
3.3%
126 1
3.3%
124 1
3.3%
120 1
3.3%
Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4666667
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:43.693160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q16
median8
Q313.25
95-th percentile19.55
Maximum25
Range24
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation5.8765069
Coefficient of variation (CV)0.62075777
Kurtosis0.38022116
Mean9.4666667
Median Absolute Deviation (MAD)3
Skewness0.89588408
Sum284
Variance34.533333
MonotonicityNot monotonic
2023-12-10T23:58:43.918206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6 5
16.7%
9 3
10.0%
7 3
10.0%
8 3
10.0%
14 2
 
6.7%
16 2
 
6.7%
11 2
 
6.7%
5 2
 
6.7%
1 2
 
6.7%
25 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
1 2
 
6.7%
2 1
 
3.3%
4 1
 
3.3%
5 2
 
6.7%
6 5
16.7%
7 3
10.0%
8 3
10.0%
9 3
10.0%
11 2
 
6.7%
14 2
 
6.7%
ValueCountFrequency (%)
25 1
 
3.3%
20 1
 
3.3%
19 1
 
3.3%
18 1
 
3.3%
16 2
6.7%
14 2
6.7%
11 2
6.7%
9 3
10.0%
8 3
10.0%
7 3
10.0%

거실가구(C01_03)
Real number (ℝ)

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum6
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:44.156062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile8.45
Q114.25
median23
Q330.5
95-th percentile42.75
Maximum48
Range42
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation11.245689
Coefficient of variation (CV)0.47853995
Kurtosis-0.59211018
Mean23.5
Median Absolute Deviation (MAD)8.5
Skewness0.45856506
Sum705
Variance126.46552
MonotonicityNot monotonic
2023-12-10T23:58:44.377861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
29 4
 
13.3%
14 2
 
6.7%
24 2
 
6.7%
40 2
 
6.7%
16 2
 
6.7%
13 2
 
6.7%
45 1
 
3.3%
15 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
6 1
3.3%
8 1
3.3%
9 1
3.3%
11 1
3.3%
13 2
6.7%
14 2
6.7%
15 1
3.3%
16 2
6.7%
17 1
3.3%
18 1
3.3%
ValueCountFrequency (%)
48 1
 
3.3%
45 1
 
3.3%
40 2
6.7%
35 1
 
3.3%
33 1
 
3.3%
32 1
 
3.3%
31 1
 
3.3%
29 4
13.3%
25 1
 
3.3%
24 2
6.7%
Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.266667
Minimum9
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:44.609291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile13.25
Q128.25
median34
Q340
95-th percentile59.4
Maximum65
Range56
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation13.436783
Coefficient of variation (CV)0.39212401
Kurtosis0.38050772
Mean34.266667
Median Absolute Deviation (MAD)6
Skewness0.26381281
Sum1028
Variance180.54713
MonotonicityNot monotonic
2023-12-10T23:58:44.872586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
34 3
 
10.0%
32 2
 
6.7%
38 2
 
6.7%
40 2
 
6.7%
16 2
 
6.7%
18 1
 
3.3%
44 1
 
3.3%
21 1
 
3.3%
29 1
 
3.3%
41 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
9 1
3.3%
11 1
3.3%
16 2
6.7%
18 1
3.3%
21 1
3.3%
23 1
3.3%
28 1
3.3%
29 1
3.3%
31 1
3.3%
32 2
6.7%
ValueCountFrequency (%)
65 1
3.3%
63 1
3.3%
55 1
3.3%
48 1
3.3%
44 1
3.3%
43 1
3.3%
41 1
3.3%
40 2
6.7%
39 1
3.3%
38 2
6.7%

솜류(C01_05)
Real number (ℝ)

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.833333
Minimum3
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:45.128212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.45
Q112
median19
Q324
95-th percentile35.6
Maximum41
Range38
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.2105013
Coefficient of variation (CV)0.48905316
Kurtosis0.51696075
Mean18.833333
Median Absolute Deviation (MAD)7
Skewness0.65768551
Sum565
Variance84.833333
MonotonicityNot monotonic
2023-12-10T23:58:45.373952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
19 4
13.3%
12 3
 
10.0%
24 2
 
6.7%
41 2
 
6.7%
27 2
 
6.7%
21 2
 
6.7%
18 2
 
6.7%
13 2
 
6.7%
10 2
 
6.7%
15 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
3 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
10 2
6.7%
12 3
10.0%
13 2
6.7%
15 1
 
3.3%
18 2
6.7%
19 4
13.3%
ValueCountFrequency (%)
41 2
6.7%
29 1
 
3.3%
28 1
 
3.3%
27 2
6.7%
26 1
 
3.3%
24 2
6.7%
22 1
 
3.3%
21 2
6.7%
19 4
13.3%
18 2
6.7%

수납가구(C01_06)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.366667
Minimum33
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:45.962590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile38.8
Q167
median97
Q3118
95-th percentile145.8
Maximum157
Range124
Interquartile range (IQR)51

Descriptive statistics

Standard deviation34.697196
Coefficient of variation (CV)0.37564629
Kurtosis-0.80127187
Mean92.366667
Median Absolute Deviation (MAD)23
Skewness-0.14826755
Sum2771
Variance1203.8954
MonotonicityNot monotonic
2023-12-10T23:58:46.207004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
120 2
 
6.7%
45 2
 
6.7%
118 2
 
6.7%
97 2
 
6.7%
86 1
 
3.3%
102 1
 
3.3%
87 1
 
3.3%
157 1
 
3.3%
129 1
 
3.3%
109 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
33 1
3.3%
37 1
3.3%
41 1
3.3%
45 2
6.7%
47 1
3.3%
51 1
3.3%
65 1
3.3%
73 1
3.3%
82 1
3.3%
85 1
3.3%
ValueCountFrequency (%)
157 1
3.3%
153 1
3.3%
137 1
3.3%
129 1
3.3%
121 1
3.3%
120 2
6.7%
118 2
6.7%
117 1
3.3%
109 1
3.3%
105 1
3.3%

수예(C01_07)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.7
Minimum10
Maximum589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:46.403143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15.7
Q135.25
median49
Q369.5
95-th percentile397.3
Maximum589
Range579
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation137.16769
Coefficient of variation (CV)1.4333092
Kurtosis6.6429517
Mean95.7
Median Absolute Deviation (MAD)18.5
Skewness2.6683605
Sum2871
Variance18814.976
MonotonicityNot monotonic
2023-12-10T23:58:46.662138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
50 2
 
6.7%
19 2
 
6.7%
47 2
 
6.7%
24 2
 
6.7%
46 1
 
3.3%
73 1
 
3.3%
300 1
 
3.3%
39 1
 
3.3%
306 1
 
3.3%
86 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
10 1
3.3%
13 1
3.3%
19 2
6.7%
24 2
6.7%
32 1
3.3%
34 1
3.3%
39 1
3.3%
41 1
3.3%
43 1
3.3%
46 1
3.3%
ValueCountFrequency (%)
589 1
3.3%
472 1
3.3%
306 1
3.3%
300 1
3.3%
90 1
3.3%
86 1
3.3%
73 1
3.3%
70 1
3.3%
68 1
3.3%
67 1
3.3%

아동/주니어가구(C01_08)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:46.912853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:47.095902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8666667
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:47.284897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q314
95-th percentile18.75
Maximum26
Range25
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2683294
Coefficient of variation (CV)0.70695445
Kurtosis0.44054389
Mean8.8666667
Median Absolute Deviation (MAD)5
Skewness0.81031323
Sum266
Variance39.291954
MonotonicityNot monotonic
2023-12-10T23:58:47.516048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
8 4
13.3%
14 4
13.3%
1 3
10.0%
4 3
10.0%
16 2
6.7%
2 2
6.7%
11 2
6.7%
3 2
6.7%
9 2
6.7%
7 2
6.7%
Other values (4) 4
13.3%
ValueCountFrequency (%)
1 3
10.0%
2 2
6.7%
3 2
6.7%
4 3
10.0%
5 1
 
3.3%
7 2
6.7%
8 4
13.3%
9 2
6.7%
11 2
6.7%
14 4
13.3%
ValueCountFrequency (%)
26 1
 
3.3%
21 1
 
3.3%
16 2
6.7%
15 1
 
3.3%
14 4
13.3%
11 2
6.7%
9 2
6.7%
8 4
13.3%
7 2
6.7%
5 1
 
3.3%

아로마/캔들용품(C01_10)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:47.756129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:47.919646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.666667
Minimum3
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:48.070174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16
median8
Q313
95-th percentile19
Maximum42
Range39
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.608223
Coefficient of variation (CV)0.71327091
Kurtosis9.2343938
Mean10.666667
Median Absolute Deviation (MAD)3
Skewness2.5797983
Sum320
Variance57.885057
MonotonicityNot monotonic
2023-12-10T23:58:48.351520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6 4
13.3%
8 4
13.3%
5 3
10.0%
19 2
 
6.7%
4 2
 
6.7%
7 2
 
6.7%
13 2
 
6.7%
9 2
 
6.7%
17 2
 
6.7%
10 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
3 1
 
3.3%
4 2
6.7%
5 3
10.0%
6 4
13.3%
7 2
6.7%
8 4
13.3%
9 2
6.7%
10 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
42 1
3.3%
19 2
6.7%
18 1
3.3%
17 2
6.7%
15 1
3.3%
13 2
6.7%
12 1
3.3%
11 1
3.3%
10 1
3.3%
9 2
6.7%

이미용가구(C01_12)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:48.637603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:48.799278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241.23333
Minimum93
Maximum403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:48.958678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93
5-th percentile120.2
Q1199
median253.5
Q3285
95-th percentile354.75
Maximum403
Range310
Interquartile range (IQR)86

Descriptive statistics

Standard deviation77.267865
Coefficient of variation (CV)0.32030343
Kurtosis-0.44959042
Mean241.23333
Median Absolute Deviation (MAD)52
Skewness-0.0053715901
Sum7237
Variance5970.323
MonotonicityNot monotonic
2023-12-10T23:58:49.187548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
199 2
 
6.7%
255 2
 
6.7%
312 1
 
3.3%
187 1
 
3.3%
352 1
 
3.3%
357 1
 
3.3%
130 1
 
3.3%
339 1
 
3.3%
93 1
 
3.3%
204 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
93 1
3.3%
113 1
3.3%
129 1
3.3%
130 1
3.3%
151 1
3.3%
163 1
3.3%
187 1
3.3%
199 2
6.7%
204 1
3.3%
206 1
3.3%
ValueCountFrequency (%)
403 1
3.3%
357 1
3.3%
352 1
3.3%
339 1
3.3%
338 1
3.3%
312 1
3.3%
299 1
3.3%
286 1
3.3%
282 1
3.3%
270 1
3.3%

주방가구(C01_14)
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.433333
Minimum4
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:49.433358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q111
median23.5
Q329
95-th percentile35.55
Maximum54
Range50
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.093553
Coefficient of variation (CV)0.56424042
Kurtosis0.056753576
Mean21.433333
Median Absolute Deviation (MAD)10
Skewness0.42333901
Sum643
Variance146.25402
MonotonicityNot monotonic
2023-12-10T23:58:49.655518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 2
 
6.7%
27 2
 
6.7%
35 2
 
6.7%
29 2
 
6.7%
7 2
 
6.7%
11 2
 
6.7%
24 2
 
6.7%
19 1
 
3.3%
54 1
 
3.3%
13 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
4 1
3.3%
5 2
6.7%
7 2
6.7%
8 1
3.3%
9 1
3.3%
11 2
6.7%
13 1
3.3%
14 1
3.3%
15 1
3.3%
19 1
3.3%
ValueCountFrequency (%)
54 1
3.3%
36 1
3.3%
35 2
6.7%
34 1
3.3%
33 1
3.3%
30 1
3.3%
29 2
6.7%
28 1
3.3%
27 2
6.7%
25 1
3.3%

침실가구(C01_15)
Real number (ℝ)

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum4
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:49.844658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.9
Q113.25
median19
Q325.75
95-th percentile32.75
Maximum35
Range31
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation8.3748392
Coefficient of variation (CV)0.44078101
Kurtosis-0.62804828
Mean19
Median Absolute Deviation (MAD)6
Skewness0.1083101
Sum570
Variance70.137931
MonotonicityNot monotonic
2023-12-10T23:58:50.038062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
19 4
 
13.3%
26 3
 
10.0%
13 2
 
6.7%
35 2
 
6.7%
29 2
 
6.7%
14 2
 
6.7%
20 2
 
6.7%
5 1
 
3.3%
17 1
 
3.3%
11 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
4 1
3.3%
5 1
3.3%
7 1
3.3%
8 1
3.3%
10 1
3.3%
11 1
3.3%
13 2
6.7%
14 2
6.7%
15 1
3.3%
16 1
3.3%
ValueCountFrequency (%)
35 2
6.7%
30 1
 
3.3%
29 2
6.7%
26 3
10.0%
25 1
 
3.3%
24 1
 
3.3%
22 1
 
3.3%
20 2
6.7%
19 4
13.3%
17 1
 
3.3%

침실제품(C01_16)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213.83333
Minimum86
Maximum410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:50.246282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum86
5-th percentile95.45
Q1122.75
median221.5
Q3260.5
95-th percentile368.6
Maximum410
Range324
Interquartile range (IQR)137.75

Descriptive statistics

Standard deviation90.665388
Coefficient of variation (CV)0.42400026
Kurtosis-0.67011258
Mean213.83333
Median Absolute Deviation (MAD)75
Skewness0.30465324
Sum6415
Variance8220.2126
MonotonicityNot monotonic
2023-12-10T23:58:50.441125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
167 1
 
3.3%
116 1
 
3.3%
143 1
 
3.3%
214 1
 
3.3%
194 1
 
3.3%
362 1
 
3.3%
285 1
 
3.3%
230 1
 
3.3%
145 1
 
3.3%
251 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
86 1
3.3%
95 1
3.3%
96 1
3.3%
98 1
3.3%
107 1
3.3%
109 1
3.3%
114 1
3.3%
116 1
3.3%
143 1
3.3%
145 1
3.3%
ValueCountFrequency (%)
410 1
3.3%
374 1
3.3%
362 1
3.3%
320 1
3.3%
310 1
3.3%
295 1
3.3%
285 1
3.3%
262 1
3.3%
256 1
3.3%
251 1
3.3%

카페트/러그(C01_17)
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.3
Minimum15
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:50.615407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile17
Q127.25
median52.5
Q369.75
95-th percentile89.85
Maximum140
Range125
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation29.680076
Coefficient of variation (CV)0.57855898
Kurtosis0.96078828
Mean51.3
Median Absolute Deviation (MAD)24.5
Skewness0.8982548
Sum1539
Variance880.9069
MonotonicityNot monotonic
2023-12-10T23:58:50.806661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
60 2
 
6.7%
17 2
 
6.7%
21 2
 
6.7%
66 2
 
6.7%
24 2
 
6.7%
28 2
 
6.7%
62 1
 
3.3%
86 1
 
3.3%
31 1
 
3.3%
71 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
15 1
3.3%
17 2
6.7%
21 2
6.7%
24 2
6.7%
27 1
3.3%
28 2
6.7%
29 1
3.3%
30 1
3.3%
31 1
3.3%
39 1
3.3%
ValueCountFrequency (%)
140 1
3.3%
93 1
3.3%
86 1
3.3%
84 1
3.3%
83 1
3.3%
80 1
3.3%
74 1
3.3%
71 1
3.3%
66 2
6.7%
62 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.366667
Minimum18
Maximum187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:51.014123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile25.75
Q161.5
median104.5
Q3122.75
95-th percentile167.65
Maximum187
Range169
Interquartile range (IQR)61.25

Descriptive statistics

Standard deviation44.885666
Coefficient of variation (CV)0.46578
Kurtosis-0.66657719
Mean96.366667
Median Absolute Deviation (MAD)32.5
Skewness0.030055123
Sum2891
Variance2014.723
MonotonicityNot monotonic
2023-12-10T23:58:51.221531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
122 2
 
6.7%
114 2
 
6.7%
149 1
 
3.3%
76 1
 
3.3%
19 1
 
3.3%
56 1
 
3.3%
39 1
 
3.3%
119 1
 
3.3%
61 1
 
3.3%
129 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
18 1
3.3%
19 1
3.3%
34 1
3.3%
39 1
3.3%
41 1
3.3%
56 1
3.3%
59 1
3.3%
61 1
3.3%
63 1
3.3%
71 1
3.3%
ValueCountFrequency (%)
187 1
3.3%
178 1
3.3%
155 1
3.3%
149 1
3.3%
137 1
3.3%
129 1
3.3%
125 1
3.3%
123 1
3.3%
122 2
6.7%
121 1
3.3%

홈데코(C01_19)
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.8
Minimum38
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:51.486248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile43.9
Q154
median86
Q3112.5
95-th percentile134.95
Maximum141
Range103
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation31.978872
Coefficient of variation (CV)0.38160946
Kurtosis-1.2885372
Mean83.8
Median Absolute Deviation (MAD)31
Skewness0.19136582
Sum2514
Variance1022.6483
MonotonicityNot monotonic
2023-12-10T23:58:51.766495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
92 2
 
6.7%
54 2
 
6.7%
48 2
 
6.7%
47 1
 
3.3%
113 1
 
3.3%
45 1
 
3.3%
78 1
 
3.3%
111 1
 
3.3%
56 1
 
3.3%
59 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
38 1
3.3%
43 1
3.3%
45 1
3.3%
47 1
3.3%
48 2
6.7%
49 1
3.3%
54 2
6.7%
56 1
3.3%
59 1
3.3%
63 1
3.3%
ValueCountFrequency (%)
141 1
3.3%
139 1
3.3%
130 1
3.3%
121 1
3.3%
119 1
3.3%
118 1
3.3%
115 1
3.3%
113 1
3.3%
111 1
3.3%
102 1
3.3%

도서/음반(C02_01)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1625.7667
Minimum741
Maximum2822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:52.077481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum741
5-th percentile866.35
Q11190.5
median1626.5
Q32013
95-th percentile2554.85
Maximum2822
Range2081
Interquartile range (IQR)822.5

Descriptive statistics

Standard deviation549.03933
Coefficient of variation (CV)0.33771103
Kurtosis-0.64475286
Mean1625.7667
Median Absolute Deviation (MAD)410.5
Skewness0.30149671
Sum48773
Variance301444.19
MonotonicityNot monotonic
2023-12-10T23:58:52.311625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
820 1
 
3.3%
2822 1
 
3.3%
2551 1
 
3.3%
2091 1
 
3.3%
1977 1
 
3.3%
1306 1
 
3.3%
1443 1
 
3.3%
2049 1
 
3.3%
2064 1
 
3.3%
1429 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
741 1
3.3%
820 1
3.3%
923 1
3.3%
977 1
3.3%
994 1
3.3%
1066 1
3.3%
1099 1
3.3%
1176 1
3.3%
1234 1
3.3%
1285 1
3.3%
ValueCountFrequency (%)
2822 1
3.3%
2558 1
3.3%
2551 1
3.3%
2275 1
3.3%
2091 1
3.3%
2064 1
3.3%
2049 1
3.3%
2025 1
3.3%
1977 1
3.3%
1903 1
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.7
Minimum8
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:52.534377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9.45
Q115.25
median24.5
Q339.25
95-th percentile56.65
Maximum101
Range93
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.939823
Coefficient of variation (CV)0.67137452
Kurtosis4.2888201
Mean29.7
Median Absolute Deviation (MAD)12
Skewness1.6986073
Sum891
Variance397.59655
MonotonicityNot monotonic
2023-12-10T23:58:52.757233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11 2
 
6.7%
27 2
 
6.7%
31 2
 
6.7%
48 2
 
6.7%
21 2
 
6.7%
19 1
 
3.3%
36 1
 
3.3%
44 1
 
3.3%
10 1
 
3.3%
9 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
8 1
3.3%
9 1
3.3%
10 1
3.3%
11 2
6.7%
12 1
3.3%
14 1
3.3%
15 1
3.3%
16 1
3.3%
17 1
3.3%
19 1
3.3%
ValueCountFrequency (%)
101 1
3.3%
58 1
3.3%
55 1
3.3%
49 1
3.3%
48 2
6.7%
44 1
3.3%
40 1
3.3%
37 1
3.3%
36 1
3.3%
33 1
3.3%

계절가전(C03_02)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.13333
Minimum46
Maximum339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:52.952591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile70.55
Q1139.5
median196
Q3265.75
95-th percentile303.75
Maximum339
Range293
Interquartile range (IQR)126.25

Descriptive statistics

Standard deviation76.916315
Coefficient of variation (CV)0.38625535
Kurtosis-0.69358974
Mean199.13333
Median Absolute Deviation (MAD)65
Skewness-0.26358524
Sum5974
Variance5916.1195
MonotonicityNot monotonic
2023-12-10T23:58:53.257641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
131 2
 
6.7%
196 2
 
6.7%
273 1
 
3.3%
306 1
 
3.3%
194 1
 
3.3%
118 1
 
3.3%
253 1
 
3.3%
267 1
 
3.3%
162 1
 
3.3%
183 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
46 1
3.3%
62 1
3.3%
81 1
3.3%
85 1
3.3%
118 1
3.3%
131 2
6.7%
132 1
3.3%
162 1
3.3%
174 1
3.3%
179 1
3.3%
ValueCountFrequency (%)
339 1
3.3%
306 1
3.3%
301 1
3.3%
283 1
3.3%
273 1
3.3%
271 1
3.3%
269 1
3.3%
267 1
3.3%
262 1
3.3%
253 1
3.3%

광학기기/광학용품(C03_03)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum0
Maximum9
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:53.515743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile7.1
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2856373
Coefficient of variation (CV)0.91425493
Kurtosis1.6269273
Mean2.5
Median Absolute Deviation (MAD)1
Skewness1.2624187
Sum75
Variance5.2241379
MonotonicityNot monotonic
2023-12-10T23:58:53.709229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3 7
23.3%
2 6
20.0%
0 6
20.0%
1 5
16.7%
5 2
 
6.7%
4 1
 
3.3%
9 1
 
3.3%
8 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
0 6
20.0%
1 5
16.7%
2 6
20.0%
3 7
23.3%
4 1
 
3.3%
5 2
 
6.7%
6 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
9 1
 
3.3%
8 1
 
3.3%
6 1
 
3.3%
5 2
 
6.7%
4 1
 
3.3%
3 7
23.3%
2 6
20.0%
1 5
16.7%
0 6
20.0%
Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.066667
Minimum4
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:53.927940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q18
median11
Q315
95-th percentile22.2
Maximum34
Range30
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.4162151
Coefficient of variation (CV)0.53173053
Kurtosis3.5400027
Mean12.066667
Median Absolute Deviation (MAD)4
Skewness1.5312011
Sum362
Variance41.167816
MonotonicityNot monotonic
2023-12-10T23:58:54.175440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10 4
13.3%
5 3
10.0%
11 3
10.0%
8 3
10.0%
15 2
 
6.7%
16 2
 
6.7%
6 2
 
6.7%
18 2
 
6.7%
12 2
 
6.7%
14 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
4 1
 
3.3%
5 3
10.0%
6 2
6.7%
7 1
 
3.3%
8 3
10.0%
10 4
13.3%
11 3
10.0%
12 2
6.7%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
34 1
 
3.3%
24 1
 
3.3%
20 1
 
3.3%
18 2
6.7%
16 2
6.7%
15 2
6.7%
14 1
 
3.3%
13 1
 
3.3%
12 2
6.7%
11 3
10.0%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.06667
Minimum85
Maximum716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:54.433413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile114.3
Q1177.5
median240.5
Q3359.25
95-th percentile640.85
Maximum716
Range631
Interquartile range (IQR)181.75

Descriptive statistics

Standard deviation172.23879
Coefficient of variation (CV)0.59379037
Kurtosis0.49304529
Mean290.06667
Median Absolute Deviation (MAD)89
Skewness1.1703276
Sum8702
Variance29666.202
MonotonicityNot monotonic
2023-12-10T23:58:54.662719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
182 2
 
6.7%
138 1
 
3.3%
201 1
 
3.3%
268 1
 
3.3%
228 1
 
3.3%
200 1
 
3.3%
176 1
 
3.3%
131 1
 
3.3%
626 1
 
3.3%
108 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
85 1
3.3%
108 1
3.3%
122 1
3.3%
127 1
3.3%
131 1
3.3%
138 1
3.3%
164 1
3.3%
176 1
3.3%
182 2
6.7%
199 1
3.3%
ValueCountFrequency (%)
716 1
3.3%
653 1
3.3%
626 1
3.3%
589 1
3.3%
476 1
3.3%
451 1
3.3%
392 1
3.3%
365 1
3.3%
342 1
3.3%
284 1
3.3%
Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.633333
Minimum2
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:54.912416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.45
Q17.25
median15
Q318
95-th percentile35
Maximum48
Range46
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation10.545414
Coefficient of variation (CV)0.67454671
Kurtosis2.0313717
Mean15.633333
Median Absolute Deviation (MAD)6.5
Skewness1.3624474
Sum469
Variance111.20575
MonotonicityNot monotonic
2023-12-10T23:58:55.158073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
15 4
 
13.3%
6 3
 
10.0%
16 3
 
10.0%
7 2
 
6.7%
35 2
 
6.7%
18 2
 
6.7%
2 1
 
3.3%
32 1
 
3.3%
22 1
 
3.3%
4 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
2 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 3
10.0%
7 2
6.7%
8 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
48 1
 
3.3%
35 2
6.7%
32 1
 
3.3%
23 1
 
3.3%
22 1
 
3.3%
20 1
 
3.3%
18 2
6.7%
17 1
 
3.3%
16 3
10.0%
15 4
13.3%

생활가전(C03_07)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean161.73333
Minimum60
Maximum566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:55.394158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile63.8
Q186.25
median134
Q3194.5
95-th percentile333.45
Maximum566
Range506
Interquartile range (IQR)108.25

Descriptive statistics

Standard deviation106.36791
Coefficient of variation (CV)0.65767466
Kurtosis7.0689712
Mean161.73333
Median Absolute Deviation (MAD)54
Skewness2.3643962
Sum4852
Variance11314.133
MonotonicityNot monotonic
2023-12-10T23:58:55.681540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
80 3
 
10.0%
124 2
 
6.7%
171 2
 
6.7%
230 1
 
3.3%
66 1
 
3.3%
169 1
 
3.3%
131 1
 
3.3%
195 1
 
3.3%
102 1
 
3.3%
81 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
60 1
 
3.3%
62 1
 
3.3%
66 1
 
3.3%
76 1
 
3.3%
80 3
10.0%
81 1
 
3.3%
102 1
 
3.3%
110 1
 
3.3%
111 1
 
3.3%
117 1
 
3.3%
ValueCountFrequency (%)
566 1
3.3%
414 1
3.3%
235 1
3.3%
230 1
3.3%
228 1
3.3%
222 1
3.3%
198 1
3.3%
195 1
3.3%
193 1
3.3%
179 1
3.3%

영상가전(C03_08)
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35
Minimum5
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:55.921897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.45
Q119
median27.5
Q344
95-th percentile83.75
Maximum95
Range90
Interquartile range (IQR)25

Descriptive statistics

Standard deviation22.598444
Coefficient of variation (CV)0.64566982
Kurtosis1.0827074
Mean35
Median Absolute Deviation (MAD)11.5
Skewness1.2448477
Sum1050
Variance510.68966
MonotonicityNot monotonic
2023-12-10T23:58:56.113620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
18 3
 
10.0%
54 2
 
6.7%
26 2
 
6.7%
22 2
 
6.7%
24 2
 
6.7%
44 2
 
6.7%
29 1
 
3.3%
5 1
 
3.3%
43 1
 
3.3%
15 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
5 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
14 1
 
3.3%
15 1
 
3.3%
18 3
10.0%
22 2
6.7%
24 2
6.7%
26 2
6.7%
27 1
 
3.3%
ValueCountFrequency (%)
95 1
3.3%
86 1
3.3%
81 1
3.3%
62 1
3.3%
54 2
6.7%
48 1
3.3%
44 2
6.7%
43 1
3.3%
38 1
3.3%
32 1
3.3%

음향가전(C03_09)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221.16667
Minimum90
Maximum449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:56.328551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90
5-th percentile118.9
Q1160.75
median218
Q3256.25
95-th percentile374.4
Maximum449
Range359
Interquartile range (IQR)95.5

Descriptive statistics

Standard deviation85.197978
Coefficient of variation (CV)0.3852207
Kurtosis0.68793102
Mean221.16667
Median Absolute Deviation (MAD)54
Skewness0.87210998
Sum6635
Variance7258.6954
MonotonicityNot monotonic
2023-12-10T23:58:57.015659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
231 2
 
6.7%
130 1
 
3.3%
120 1
 
3.3%
261 1
 
3.3%
239 1
 
3.3%
118 1
 
3.3%
378 1
 
3.3%
225 1
 
3.3%
217 1
 
3.3%
215 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
90 1
3.3%
118 1
3.3%
120 1
3.3%
126 1
3.3%
130 1
3.3%
137 1
3.3%
144 1
3.3%
160 1
3.3%
163 1
3.3%
165 1
3.3%
ValueCountFrequency (%)
449 1
3.3%
378 1
3.3%
370 1
3.3%
362 1
3.3%
282 1
3.3%
277 1
3.3%
261 1
3.3%
259 1
3.3%
248 1
3.3%
239 1
3.3%

이미용가전(C03_10)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.866667
Minimum38
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:57.448582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile44
Q152.25
median84
Q3110.5
95-th percentile164.1
Maximum171
Range133
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation39.696898
Coefficient of variation (CV)0.46775606
Kurtosis-0.40928577
Mean84.866667
Median Absolute Deviation (MAD)29.5
Skewness0.75711495
Sum2546
Variance1575.8437
MonotonicityNot monotonic
2023-12-10T23:58:57.906396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
44 3
 
10.0%
57 3
 
10.0%
88 1
 
3.3%
131 1
 
3.3%
80 1
 
3.3%
55 1
 
3.3%
111 1
 
3.3%
95 1
 
3.3%
49 1
 
3.3%
163 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
38 1
 
3.3%
44 3
10.0%
46 1
 
3.3%
47 1
 
3.3%
49 1
 
3.3%
52 1
 
3.3%
53 1
 
3.3%
54 1
 
3.3%
55 1
 
3.3%
57 3
10.0%
ValueCountFrequency (%)
171 1
3.3%
165 1
3.3%
163 1
3.3%
135 1
3.3%
131 1
3.3%
113 1
3.3%
112 1
3.3%
111 1
3.3%
109 1
3.3%
104 1
3.3%

자동차기기(C03_11)
Real number (ℝ)

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.633333
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:58.136644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17.25
median11.5
Q319
95-th percentile23
Maximum25
Range24
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation7.0097633
Coefficient of variation (CV)0.55486253
Kurtosis-1.2028241
Mean12.633333
Median Absolute Deviation (MAD)4.5
Skewness0.25270847
Sum379
Variance49.136782
MonotonicityNot monotonic
2023-12-10T23:58:58.351233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
16 3
10.0%
22 3
10.0%
4 3
10.0%
8 3
10.0%
15 2
 
6.7%
7 2
 
6.7%
9 2
 
6.7%
23 2
 
6.7%
12 2
 
6.7%
20 2
 
6.7%
Other values (5) 6
20.0%
ValueCountFrequency (%)
1 1
 
3.3%
4 3
10.0%
5 2
6.7%
7 2
6.7%
8 3
10.0%
9 2
6.7%
10 1
 
3.3%
11 1
 
3.3%
12 2
6.7%
15 2
6.7%
ValueCountFrequency (%)
25 1
 
3.3%
23 2
6.7%
22 3
10.0%
20 2
6.7%
16 3
10.0%
15 2
6.7%
12 2
6.7%
11 1
 
3.3%
10 1
 
3.3%
9 2
6.7%

저장장치(C03_12)
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.166667
Minimum18
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:58.579600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile23
Q144
median59
Q365.75
95-th percentile100.3
Maximum116
Range98
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation24.09476
Coefficient of variation (CV)0.41423657
Kurtosis0.13752355
Mean58.166667
Median Absolute Deviation (MAD)13.5
Skewness0.54323392
Sum1745
Variance580.55747
MonotonicityNot monotonic
2023-12-10T23:58:58.815907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
62 3
 
10.0%
58 2
 
6.7%
44 2
 
6.7%
23 2
 
6.7%
60 2
 
6.7%
31 2
 
6.7%
52 1
 
3.3%
46 1
 
3.3%
87 1
 
3.3%
47 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
18 1
3.3%
23 2
6.7%
31 2
6.7%
35 1
3.3%
39 1
3.3%
44 2
6.7%
46 1
3.3%
47 1
3.3%
52 1
3.3%
56 1
3.3%
ValueCountFrequency (%)
116 1
 
3.3%
103 1
 
3.3%
97 1
 
3.3%
96 1
 
3.3%
87 1
 
3.3%
73 1
 
3.3%
70 1
 
3.3%
66 1
 
3.3%
65 1
 
3.3%
62 3
10.0%

주방가전(C03_13)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.46667
Minimum128
Maximum528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:59.038562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128
5-th percentile150
Q1184.25
median290.5
Q3348.5
95-th percentile498.1
Maximum528
Range400
Interquartile range (IQR)164.25

Descriptive statistics

Standard deviation109.48838
Coefficient of variation (CV)0.38354174
Kurtosis-0.2446095
Mean285.46667
Median Absolute Deviation (MAD)69.5
Skewness0.52575718
Sum8564
Variance11987.706
MonotonicityNot monotonic
2023-12-10T23:58:59.283147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
150 2
 
6.7%
350 2
 
6.7%
182 1
 
3.3%
215 1
 
3.3%
464 1
 
3.3%
528 1
 
3.3%
354 1
 
3.3%
351 1
 
3.3%
274 1
 
3.3%
191 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
128 1
3.3%
150 2
6.7%
157 1
3.3%
167 1
3.3%
174 1
3.3%
175 1
3.3%
182 1
3.3%
191 1
3.3%
192 1
3.3%
215 1
3.3%
ValueCountFrequency (%)
528 1
3.3%
526 1
3.3%
464 1
3.3%
401 1
3.3%
354 1
3.3%
351 1
3.3%
350 2
6.7%
344 1
3.3%
340 1
3.3%
337 1
3.3%
Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.366667
Minimum38
Maximum203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:59.535479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile48
Q158
median86
Q3111.5
95-th percentile143.6
Maximum203
Range165
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation36.377791
Coefficient of variation (CV)0.40255763
Kurtosis1.631147
Mean90.366667
Median Absolute Deviation (MAD)28
Skewness0.96729455
Sum2711
Variance1323.3437
MonotonicityNot monotonic
2023-12-10T23:58:59.845766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
103 2
 
6.7%
70 2
 
6.7%
115 2
 
6.7%
83 2
 
6.7%
48 2
 
6.7%
57 2
 
6.7%
107 2
 
6.7%
51 2
 
6.7%
61 1
 
3.3%
38 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
38 1
3.3%
48 2
6.7%
51 2
6.7%
53 1
3.3%
57 2
6.7%
61 1
3.3%
70 2
6.7%
74 1
3.3%
80 1
3.3%
83 2
6.7%
ValueCountFrequency (%)
203 1
3.3%
149 1
3.3%
137 1
3.3%
123 1
3.3%
121 1
3.3%
115 2
6.7%
113 1
3.3%
107 2
6.7%
104 1
3.3%
103 2
6.7%

컴퓨터(C03_15)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean440.2
Minimum148
Maximum1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:00.083737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148
5-th percentile192.75
Q1307.5
median399
Q3534.75
95-th percentile804.4
Maximum1017
Range869
Interquartile range (IQR)227.25

Descriptive statistics

Standard deviation203.45827
Coefficient of variation (CV)0.46219508
Kurtosis1.2306176
Mean440.2
Median Absolute Deviation (MAD)125
Skewness1.0528416
Sum13206
Variance41395.269
MonotonicityNot monotonic
2023-12-10T23:59:00.364276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
473 1
 
3.3%
451 1
 
3.3%
669 1
 
3.3%
701 1
 
3.3%
239 1
 
3.3%
235 1
 
3.3%
148 1
 
3.3%
540 1
 
3.3%
578 1
 
3.3%
361 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
148 1
3.3%
177 1
3.3%
212 1
3.3%
235 1
3.3%
238 1
3.3%
239 1
3.3%
269 1
3.3%
307 1
3.3%
309 1
3.3%
325 1
3.3%
ValueCountFrequency (%)
1017 1
3.3%
889 1
3.3%
701 1
3.3%
683 1
3.3%
669 1
3.3%
578 1
3.3%
569 1
3.3%
540 1
3.3%
519 1
3.3%
500 1
3.3%
Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.066667
Minimum4
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:00.619118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.45
Q110
median13
Q316.75
95-th percentile26.85
Maximum37
Range33
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation7.3902701
Coefficient of variation (CV)0.52537465
Kurtosis2.2992174
Mean14.066667
Median Absolute Deviation (MAD)3.5
Skewness1.2667644
Sum422
Variance54.616092
MonotonicityNot monotonic
2023-12-10T23:59:00.836385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
14 4
13.3%
10 3
10.0%
13 3
10.0%
18 2
 
6.7%
6 2
 
6.7%
9 2
 
6.7%
23 2
 
6.7%
4 2
 
6.7%
12 2
 
6.7%
5 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
4 2
6.7%
5 1
 
3.3%
6 2
6.7%
9 2
6.7%
10 3
10.0%
11 1
 
3.3%
12 2
6.7%
13 3
10.0%
14 4
13.3%
15 1
 
3.3%
ValueCountFrequency (%)
37 1
 
3.3%
30 1
 
3.3%
23 2
6.7%
22 1
 
3.3%
18 2
6.7%
17 1
 
3.3%
16 1
 
3.3%
15 1
 
3.3%
14 4
13.3%
13 3
10.0%

학습기기(C03_17)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1666667
Minimum0
Maximum13
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:01.056111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median2
Q34
95-th percentile9.65
Maximum13
Range13
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation3.1849142
Coefficient of variation (CV)1.0057624
Kurtosis2.693567
Mean3.1666667
Median Absolute Deviation (MAD)1.5
Skewness1.6145012
Sum95
Variance10.143678
MonotonicityNot monotonic
2023-12-10T23:59:01.251678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 9
30.0%
0 6
20.0%
3 4
13.3%
5 2
 
6.7%
4 2
 
6.7%
1 2
 
6.7%
8 1
 
3.3%
11 1
 
3.3%
7 1
 
3.3%
13 1
 
3.3%
ValueCountFrequency (%)
0 6
20.0%
1 2
 
6.7%
2 9
30.0%
3 4
13.3%
4 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
13 1
 
3.3%
11 1
 
3.3%
8 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
5 2
 
6.7%
4 2
 
6.7%
3 4
13.3%
2 9
30.0%
1 2
 
6.7%

휴대폰(C03_18)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean433.8
Minimum153
Maximum710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:01.482145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153
5-th percentile211.45
Q1352.75
median444
Q3511
95-th percentile644.4
Maximum710
Range557
Interquartile range (IQR)158.25

Descriptive statistics

Standard deviation131.27161
Coefficient of variation (CV)0.30260859
Kurtosis0.076727459
Mean433.8
Median Absolute Deviation (MAD)77
Skewness-0.10997635
Sum13014
Variance17232.234
MonotonicityNot monotonic
2023-12-10T23:59:01.690450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
295 1
 
3.3%
398 1
 
3.3%
321 1
 
3.3%
428 1
 
3.3%
568 1
 
3.3%
278 1
 
3.3%
346 1
 
3.3%
710 1
 
3.3%
373 1
 
3.3%
441 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
153 1
3.3%
184 1
3.3%
245 1
3.3%
278 1
3.3%
295 1
3.3%
321 1
3.3%
324 1
3.3%
346 1
3.3%
373 1
3.3%
388 1
3.3%
ValueCountFrequency (%)
710 1
3.3%
684 1
3.3%
596 1
3.3%
568 1
3.3%
544 1
3.3%
528 1
3.3%
527 1
3.3%
513 1
3.3%
505 1
3.3%
500 1
3.3%

건강관리/건강측정(C04_01)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean381.6
Minimum107
Maximum849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:01.870400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107
5-th percentile137.55
Q1260.75
median373
Q3474.25
95-th percentile690.15
Maximum849
Range742
Interquartile range (IQR)213.5

Descriptive statistics

Standard deviation177.79737
Coefficient of variation (CV)0.46592601
Kurtosis0.40291746
Mean381.6
Median Absolute Deviation (MAD)115
Skewness0.63527151
Sum11448
Variance31611.903
MonotonicityNot monotonic
2023-12-10T23:59:02.121129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
339 1
 
3.3%
107 1
 
3.3%
129 1
 
3.3%
503 1
 
3.3%
213 1
 
3.3%
357 1
 
3.3%
849 1
 
3.3%
248 1
 
3.3%
383 1
 
3.3%
307 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
107 1
3.3%
129 1
3.3%
148 1
3.3%
153 1
3.3%
194 1
3.3%
195 1
3.3%
213 1
3.3%
248 1
3.3%
299 1
3.3%
307 1
3.3%
ValueCountFrequency (%)
849 1
3.3%
705 1
3.3%
672 1
3.3%
567 1
3.3%
564 1
3.3%
534 1
3.3%
503 1
3.3%
478 1
3.3%
463 1
3.3%
442 1
3.3%

건강용품(C04_02)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:02.378967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:02.528625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

공구(C04_03)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.6
Minimum78
Maximum459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:02.679275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78
5-th percentile100.45
Q1161
median278
Q3324
95-th percentile414.35
Maximum459
Range381
Interquartile range (IQR)163

Descriptive statistics

Standard deviation103.473
Coefficient of variation (CV)0.39858629
Kurtosis-0.87270266
Mean259.6
Median Absolute Deviation (MAD)70.5
Skewness-0.047047447
Sum7788
Variance10706.662
MonotonicityNot monotonic
2023-12-10T23:59:02.854818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
278 2
 
6.7%
324 2
 
6.7%
293 1
 
3.3%
147 1
 
3.3%
78 1
 
3.3%
217 1
 
3.3%
394 1
 
3.3%
155 1
 
3.3%
299 1
 
3.3%
100 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
78 1
3.3%
100 1
3.3%
101 1
3.3%
133 1
3.3%
144 1
3.3%
146 1
3.3%
147 1
3.3%
155 1
3.3%
179 1
3.3%
211 1
3.3%
ValueCountFrequency (%)
459 1
3.3%
431 1
3.3%
394 1
3.3%
386 1
3.3%
374 1
3.3%
352 1
3.3%
334 1
3.3%
324 2
6.7%
318 1
3.3%
299 1
3.3%

관상어용품(C04_04)
Real number (ℝ)

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.766667
Minimum2
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:03.040915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile15
Q121
median25
Q337
95-th percentile54.15
Maximum61
Range59
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.451531
Coefficient of variation (CV)0.46760825
Kurtosis0.5622251
Mean28.766667
Median Absolute Deviation (MAD)6.5
Skewness0.7572095
Sum863
Variance180.94368
MonotonicityNot monotonic
2023-12-10T23:59:03.227751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
21 4
 
13.3%
31 3
 
10.0%
15 2
 
6.7%
23 2
 
6.7%
24 2
 
6.7%
27 2
 
6.7%
16 2
 
6.7%
20 1
 
3.3%
46 1
 
3.3%
18 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
2 1
 
3.3%
15 2
6.7%
16 2
6.7%
18 1
 
3.3%
20 1
 
3.3%
21 4
13.3%
23 2
6.7%
24 2
6.7%
26 1
 
3.3%
27 2
6.7%
ValueCountFrequency (%)
61 1
 
3.3%
60 1
 
3.3%
47 1
 
3.3%
46 1
 
3.3%
45 1
 
3.3%
40 1
 
3.3%
39 1
 
3.3%
38 1
 
3.3%
34 1
 
3.3%
31 3
10.0%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.96667
Minimum74
Maximum384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:03.496594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile80.8
Q1121.5
median225
Q3312.5
95-th percentile363.4
Maximum384
Range310
Interquartile range (IQR)191

Descriptive statistics

Standard deviation101.9721
Coefficient of variation (CV)0.46569691
Kurtosis-1.5368256
Mean218.96667
Median Absolute Deviation (MAD)98
Skewness0.010818406
Sum6569
Variance10398.309
MonotonicityNot monotonic
2023-12-10T23:59:03.748003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
323 2
 
6.7%
314 1
 
3.3%
115 1
 
3.3%
123 1
 
3.3%
228 1
 
3.3%
74 1
 
3.3%
359 1
 
3.3%
85 1
 
3.3%
300 1
 
3.3%
330 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
74 1
3.3%
79 1
3.3%
83 1
3.3%
85 1
3.3%
107 1
3.3%
113 1
3.3%
115 1
3.3%
121 1
3.3%
123 1
3.3%
124 1
3.3%
ValueCountFrequency (%)
384 1
3.3%
367 1
3.3%
359 1
3.3%
330 1
3.3%
323 2
6.7%
320 1
3.3%
314 1
3.3%
308 1
3.3%
307 1
3.3%
300 1
3.3%

눈건강용품(C04_06)
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.733333
Minimum6
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:04.020171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile13.8
Q117.25
median24
Q331.25
95-th percentile45.1
Maximum53
Range47
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.573008
Coefficient of variation (CV)0.4108682
Kurtosis0.49501636
Mean25.733333
Median Absolute Deviation (MAD)7
Skewness0.75677261
Sum772
Variance111.78851
MonotonicityNot monotonic
2023-12-10T23:59:04.258898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
16 3
 
10.0%
25 3
 
10.0%
17 3
 
10.0%
22 2
 
6.7%
36 2
 
6.7%
28 2
 
6.7%
21 2
 
6.7%
24 2
 
6.7%
23 1
 
3.3%
29 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
6 1
 
3.3%
12 1
 
3.3%
16 3
10.0%
17 3
10.0%
18 1
 
3.3%
21 2
6.7%
22 2
6.7%
23 1
 
3.3%
24 2
6.7%
25 3
10.0%
ValueCountFrequency (%)
53 1
 
3.3%
46 1
 
3.3%
44 1
 
3.3%
39 1
 
3.3%
36 2
6.7%
34 1
 
3.3%
32 1
 
3.3%
29 1
 
3.3%
28 2
6.7%
25 3
10.0%

목욕용품(C04_07)
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.166667
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:04.479647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median14
Q318.5
95-th percentile32.1
Maximum36
Range35
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation9.6242629
Coefficient of variation (CV)0.67935974
Kurtosis-0.18488296
Mean14.166667
Median Absolute Deviation (MAD)6.5
Skewness0.66317939
Sum425
Variance92.626437
MonotonicityNot monotonic
2023-12-10T23:59:04.730598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
17 3
 
10.0%
2 2
 
6.7%
7 2
 
6.7%
3 2
 
6.7%
16 2
 
6.7%
14 2
 
6.7%
12 1
 
3.3%
10 1
 
3.3%
6 1
 
3.3%
24 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
1 1
3.3%
2 2
6.7%
3 2
6.7%
4 1
3.3%
6 1
3.3%
7 2
6.7%
8 1
3.3%
9 1
3.3%
10 1
3.3%
11 1
3.3%
ValueCountFrequency (%)
36 1
 
3.3%
33 1
 
3.3%
31 1
 
3.3%
30 1
 
3.3%
24 1
 
3.3%
21 1
 
3.3%
20 1
 
3.3%
19 1
 
3.3%
17 3
10.0%
16 2
6.7%

문구/사무용품(C04_08)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446.63333
Minimum197
Maximum918
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:05.019803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197
5-th percentile217.5
Q1353.5
median419
Q3526.25
95-th percentile769.1
Maximum918
Range721
Interquartile range (IQR)172.75

Descriptive statistics

Standard deviation171.96461
Coefficient of variation (CV)0.38502412
Kurtosis0.91837716
Mean446.63333
Median Absolute Deviation (MAD)87
Skewness0.96455398
Sum13399
Variance29571.826
MonotonicityNot monotonic
2023-12-10T23:59:05.327850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
612 1
 
3.3%
447 1
 
3.3%
668 1
 
3.3%
351 1
 
3.3%
735 1
 
3.3%
450 1
 
3.3%
465 1
 
3.3%
197 1
 
3.3%
463 1
 
3.3%
543 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
197 1
3.3%
204 1
3.3%
234 1
3.3%
245 1
3.3%
288 1
3.3%
310 1
3.3%
313 1
3.3%
351 1
3.3%
361 1
3.3%
368 1
3.3%
ValueCountFrequency (%)
918 1
3.3%
797 1
3.3%
735 1
3.3%
668 1
3.3%
612 1
3.3%
578 1
3.3%
574 1
3.3%
543 1
3.3%
476 1
3.3%
465 1
3.3%
Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.33333
Minimum48
Maximum211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:06.036732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48
5-th percentile59.7
Q195.25
median118
Q3144.25
95-th percentile197.15
Maximum211
Range163
Interquartile range (IQR)49

Descriptive statistics

Standard deviation42.893077
Coefficient of variation (CV)0.35351437
Kurtosis-0.39191303
Mean121.33333
Median Absolute Deviation (MAD)24
Skewness0.31739691
Sum3640
Variance1839.8161
MonotonicityNot monotonic
2023-12-10T23:59:06.469588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
118 3
 
10.0%
94 2
 
6.7%
57 1
 
3.3%
123 1
 
3.3%
166 1
 
3.3%
126 1
 
3.3%
145 1
 
3.3%
105 1
 
3.3%
176 1
 
3.3%
64 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
48 1
3.3%
57 1
3.3%
63 1
3.3%
64 1
3.3%
68 1
3.3%
76 1
3.3%
94 2
6.7%
99 1
3.3%
102 1
3.3%
105 1
3.3%
ValueCountFrequency (%)
211 1
3.3%
203 1
3.3%
190 1
3.3%
176 1
3.3%
172 1
3.3%
166 1
3.3%
155 1
3.3%
145 1
3.3%
142 1
3.3%
136 1
3.3%

생활용품(C04_10)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean952.76667
Minimum435
Maximum1690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:06.947237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum435
5-th percentile465.8
Q1559
median892
Q31214.5
95-th percentile1611.6
Maximum1690
Range1255
Interquartile range (IQR)655.5

Descriptive statistics

Standard deviation404.81598
Coefficient of variation (CV)0.4248847
Kurtosis-1.1854453
Mean952.76667
Median Absolute Deviation (MAD)333
Skewness0.365123
Sum28583
Variance163875.98
MonotonicityNot monotonic
2023-12-10T23:59:07.405281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
910 1
 
3.3%
812 1
 
3.3%
435 1
 
3.3%
558 1
 
3.3%
536 1
 
3.3%
1186 1
 
3.3%
1050 1
 
3.3%
1342 1
 
3.3%
1550 1
 
3.3%
1224 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
435 1
3.3%
464 1
3.3%
468 1
3.3%
490 1
3.3%
516 1
3.3%
528 1
3.3%
536 1
3.3%
558 1
3.3%
562 1
3.3%
623 1
3.3%
ValueCountFrequency (%)
1690 1
3.3%
1662 1
3.3%
1550 1
3.3%
1529 1
3.3%
1504 1
3.3%
1427 1
3.3%
1342 1
3.3%
1224 1
3.3%
1186 1
3.3%
1182 1
3.3%

수납/정리용품(C04_11)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.566667
Minimum21
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:07.697824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile34.45
Q147.75
median99.5
Q3125
95-th percentile181.85
Maximum199
Range178
Interquartile range (IQR)77.25

Descriptive statistics

Standard deviation49.431027
Coefficient of variation (CV)0.5227109
Kurtosis-0.67451647
Mean94.566667
Median Absolute Deviation (MAD)37
Skewness0.36350116
Sum2837
Variance2443.4264
MonotonicityNot monotonic
2023-12-10T23:59:08.023495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
47 1
 
3.3%
101 1
 
3.3%
52 1
 
3.3%
167 1
 
3.3%
92 1
 
3.3%
43 1
 
3.3%
122 1
 
3.3%
121 1
 
3.3%
38 1
 
3.3%
40 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
21 1
3.3%
34 1
3.3%
35 1
3.3%
38 1
3.3%
39 1
3.3%
40 1
3.3%
43 1
3.3%
47 1
3.3%
50 1
3.3%
52 1
3.3%
ValueCountFrequency (%)
199 1
3.3%
194 1
3.3%
167 1
3.3%
159 1
3.3%
134 1
3.3%
129 1
3.3%
127 1
3.3%
126 1
3.3%
122 1
3.3%
121 1
3.3%

수집품(C04_12)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.86667
Minimum29
Maximum228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:08.273049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile46.6
Q176.75
median105.5
Q3137.25
95-th percentile159.95
Maximum228
Range199
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation42.806488
Coefficient of variation (CV)0.4043434
Kurtosis0.83791866
Mean105.86667
Median Absolute Deviation (MAD)31
Skewness0.57666868
Sum3176
Variance1832.3954
MonotonicityNot monotonic
2023-12-10T23:59:08.517420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
155 2
 
6.7%
148 1
 
3.3%
106 1
 
3.3%
96 1
 
3.3%
43 1
 
3.3%
71 1
 
3.3%
80 1
 
3.3%
79 1
 
3.3%
105 1
 
3.3%
101 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
29 1
3.3%
43 1
3.3%
51 1
3.3%
55 1
3.3%
60 1
3.3%
68 1
3.3%
71 1
3.3%
76 1
3.3%
79 1
3.3%
80 1
3.3%
ValueCountFrequency (%)
228 1
3.3%
164 1
3.3%
155 2
6.7%
148 1
3.3%
143 1
3.3%
142 1
3.3%
138 1
3.3%
135 1
3.3%
123 1
3.3%
116 1
3.3%

악기(C04_13)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213.9
Minimum26
Maximum419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:08.846098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile35
Q1106.75
median220.5
Q3314
95-th percentile402.65
Maximum419
Range393
Interquartile range (IQR)207.25

Descriptive statistics

Standard deviation123.85012
Coefficient of variation (CV)0.57900943
Kurtosis-1.1597653
Mean213.9
Median Absolute Deviation (MAD)101
Skewness0.04539872
Sum6417
Variance15338.852
MonotonicityNot monotonic
2023-12-10T23:59:09.100028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
175 2
 
6.7%
35 2
 
6.7%
134 1
 
3.3%
366 1
 
3.3%
226 1
 
3.3%
401 1
 
3.3%
95 1
 
3.3%
302 1
 
3.3%
40 1
 
3.3%
222 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
26 1
3.3%
35 2
6.7%
40 1
3.3%
63 1
3.3%
70 1
3.3%
95 1
3.3%
103 1
3.3%
118 1
3.3%
134 1
3.3%
167 1
3.3%
ValueCountFrequency (%)
419 1
3.3%
404 1
3.3%
401 1
3.3%
395 1
3.3%
366 1
3.3%
328 1
3.3%
320 1
3.3%
318 1
3.3%
302 1
3.3%
283 1
3.3%

애완(C04_14)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.26667
Minimum133
Maximum537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:09.382521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133
5-th percentile153.2
Q1205.75
median326
Q3412
95-th percentile516.2
Maximum537
Range404
Interquartile range (IQR)206.25

Descriptive statistics

Standard deviation127.26891
Coefficient of variation (CV)0.39614725
Kurtosis-1.345209
Mean321.26667
Median Absolute Deviation (MAD)118.5
Skewness0.1419441
Sum9638
Variance16197.375
MonotonicityNot monotonic
2023-12-10T23:59:09.733989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
416 1
 
3.3%
375 1
 
3.3%
204 1
 
3.3%
233 1
 
3.3%
173 1
 
3.3%
388 1
 
3.3%
377 1
 
3.3%
272 1
 
3.3%
176 1
 
3.3%
319 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
133 1
3.3%
146 1
3.3%
162 1
3.3%
173 1
3.3%
176 1
3.3%
178 1
3.3%
201 1
3.3%
204 1
3.3%
211 1
3.3%
213 1
3.3%
ValueCountFrequency (%)
537 1
3.3%
518 1
3.3%
514 1
3.3%
487 1
3.3%
471 1
3.3%
465 1
3.3%
464 1
3.3%
416 1
3.3%
400 1
3.3%
388 1
3.3%

완구(C04_15)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.7
Minimum18
Maximum380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:10.496385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile28.8
Q151.25
median127.5
Q3155.75
95-th percentile221.1
Maximum380
Range362
Interquartile range (IQR)104.5

Descriptive statistics

Standard deviation78.145819
Coefficient of variation (CV)0.65284727
Kurtosis2.792419
Mean119.7
Median Absolute Deviation (MAD)56
Skewness1.1740882
Sum3591
Variance6106.769
MonotonicityNot monotonic
2023-12-10T23:59:10.772588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
37 2
 
6.7%
155 2
 
6.7%
240 1
 
3.3%
109 1
 
3.3%
130 1
 
3.3%
198 1
 
3.3%
65 1
 
3.3%
145 1
 
3.3%
179 1
 
3.3%
64 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
18 1
3.3%
27 1
3.3%
31 1
3.3%
34 1
3.3%
37 2
6.7%
38 1
3.3%
47 1
3.3%
64 1
3.3%
65 1
3.3%
67 1
3.3%
ValueCountFrequency (%)
380 1
3.3%
240 1
3.3%
198 1
3.3%
196 1
3.3%
179 1
3.3%
169 1
3.3%
162 1
3.3%
156 1
3.3%
155 2
6.7%
152 1
3.3%

욕실용품(C04_16)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.06667
Minimum83
Maximum420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:10.999356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile84
Q1107.25
median197.5
Q3243.5
95-th percentile385.3
Maximum420
Range337
Interquartile range (IQR)136.25

Descriptive statistics

Standard deviation97.874985
Coefficient of variation (CV)0.48921185
Kurtosis-0.3494085
Mean200.06667
Median Absolute Deviation (MAD)85.5
Skewness0.63231988
Sum6002
Variance9579.5126
MonotonicityNot monotonic
2023-12-10T23:59:11.275577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
106 2
 
6.7%
84 2
 
6.7%
147 1
 
3.3%
231 1
 
3.3%
87 1
 
3.3%
420 1
 
3.3%
203 1
 
3.3%
294 1
 
3.3%
102 1
 
3.3%
117 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
83 1
3.3%
84 2
6.7%
87 1
3.3%
102 1
3.3%
105 1
3.3%
106 2
6.7%
111 1
3.3%
113 1
3.3%
117 1
3.3%
147 1
3.3%
ValueCountFrequency (%)
420 1
3.3%
406 1
3.3%
360 1
3.3%
323 1
3.3%
305 1
3.3%
294 1
3.3%
260 1
3.3%
245 1
3.3%
239 1
3.3%
236 1
3.3%

유아생활용품(C04_17)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.533333
Minimum0
Maximum29
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:11.514915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14.25
median10
Q315
95-th percentile22.65
Maximum29
Range29
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation7.2432291
Coefficient of variation (CV)0.68764833
Kurtosis0.024354028
Mean10.533333
Median Absolute Deviation (MAD)5.5
Skewness0.56944445
Sum316
Variance52.464368
MonotonicityNot monotonic
2023-12-10T23:59:11.730579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
10 4
13.3%
16 3
10.0%
15 3
10.0%
8 3
10.0%
1 2
 
6.7%
2 2
 
6.7%
4 2
 
6.7%
12 2
 
6.7%
14 1
 
3.3%
29 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 1
 
3.3%
1 2
6.7%
2 2
6.7%
3 1
 
3.3%
4 2
6.7%
5 1
 
3.3%
6 1
 
3.3%
8 3
10.0%
10 4
13.3%
12 2
6.7%
ValueCountFrequency (%)
29 1
 
3.3%
24 1
 
3.3%
21 1
 
3.3%
19 1
 
3.3%
16 3
10.0%
15 3
10.0%
14 1
 
3.3%
12 2
6.7%
10 4
13.3%
8 3
10.0%

유아위생용품(C04_18)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7333333
Minimum0
Maximum15
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:11.969422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12.25
median4
Q36.75
95-th percentile9.55
Maximum15
Range15
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.3726418
Coefficient of variation (CV)0.71252996
Kurtosis1.4280973
Mean4.7333333
Median Absolute Deviation (MAD)2
Skewness1.0328484
Sum142
Variance11.374713
MonotonicityNot monotonic
2023-12-10T23:59:12.233734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 5
16.7%
5 5
16.7%
3 4
13.3%
4 4
13.3%
8 3
10.0%
2 2
 
6.7%
9 2
 
6.7%
6 1
 
3.3%
10 1
 
3.3%
0 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 1
 
3.3%
1 5
16.7%
2 2
 
6.7%
3 4
13.3%
4 4
13.3%
5 5
16.7%
6 1
 
3.3%
7 1
 
3.3%
8 3
10.0%
9 2
 
6.7%
ValueCountFrequency (%)
15 1
 
3.3%
10 1
 
3.3%
9 2
 
6.7%
8 3
10.0%
7 1
 
3.3%
6 1
 
3.3%
5 5
16.7%
4 4
13.3%
3 4
13.3%
2 2
 
6.7%

의료용품(C04_19)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.366667
Minimum37
Maximum203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:12.508332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile40.7
Q151.25
median76.5
Q3109.25
95-th percentile163.4
Maximum203
Range166
Interquartile range (IQR)58

Descriptive statistics

Standard deviation43.28931
Coefficient of variation (CV)0.50122706
Kurtosis0.43086701
Mean86.366667
Median Absolute Deviation (MAD)27
Skewness1.009447
Sum2591
Variance1873.9644
MonotonicityNot monotonic
2023-12-10T23:59:12.766468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
64 2
 
6.7%
100 2
 
6.7%
82 1
 
3.3%
71 1
 
3.3%
104 1
 
3.3%
56 1
 
3.3%
87 1
 
3.3%
134 1
 
3.3%
47 1
 
3.3%
111 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
37 1
3.3%
38 1
3.3%
44 1
3.3%
45 1
3.3%
47 1
3.3%
48 1
3.3%
50 1
3.3%
51 1
3.3%
52 1
3.3%
54 1
3.3%
ValueCountFrequency (%)
203 1
3.3%
167 1
3.3%
159 1
3.3%
153 1
3.3%
134 1
3.3%
114 1
3.3%
112 1
3.3%
111 1
3.3%
104 1
3.3%
103 1
3.3%

자동차용품(C04_20)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.53333
Minimum43
Maximum550
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:13.045979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile44.45
Q1131.25
median159
Q3187
95-th percentile221.65
Maximum550
Range507
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation90.743569
Coefficient of variation (CV)0.5652631
Kurtosis11.598054
Mean160.53333
Median Absolute Deviation (MAD)28.5
Skewness2.5878179
Sum4816
Variance8234.3954
MonotonicityNot monotonic
2023-12-10T23:59:13.306828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
188 2
 
6.7%
203 2
 
6.7%
163 1
 
3.3%
209 1
 
3.3%
149 1
 
3.3%
43 1
 
3.3%
150 1
 
3.3%
550 1
 
3.3%
160 1
 
3.3%
157 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
43 1
3.3%
44 1
3.3%
45 1
3.3%
49 1
3.3%
70 1
3.3%
78 1
3.3%
130 1
3.3%
131 1
3.3%
132 1
3.3%
149 1
3.3%
ValueCountFrequency (%)
550 1
3.3%
223 1
3.3%
220 1
3.3%
209 1
3.3%
203 2
6.7%
188 2
6.7%
184 1
3.3%
176 1
3.3%
175 1
3.3%
168 1
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.766667
Minimum27
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:13.541808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile39.9
Q155.75
median76
Q392.75
95-th percentile142.4
Maximum164
Range137
Interquartile range (IQR)37

Descriptive statistics

Standard deviation33.031524
Coefficient of variation (CV)0.41410185
Kurtosis0.38777354
Mean79.766667
Median Absolute Deviation (MAD)19.5
Skewness0.74755048
Sum2393
Variance1091.0816
MonotonicityNot monotonic
2023-12-10T23:59:13.806329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
89 3
 
10.0%
58 2
 
6.7%
41 2
 
6.7%
104 1
 
3.3%
70 1
 
3.3%
88 1
 
3.3%
120 1
 
3.3%
72 1
 
3.3%
75 1
 
3.3%
68 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
27 1
3.3%
39 1
3.3%
41 2
6.7%
44 1
3.3%
48 1
3.3%
49 1
3.3%
55 1
3.3%
58 2
6.7%
68 1
3.3%
70 1
3.3%
ValueCountFrequency (%)
164 1
 
3.3%
146 1
 
3.3%
138 1
 
3.3%
120 1
 
3.3%
109 1
 
3.3%
104 1
 
3.3%
102 1
 
3.3%
94 1
 
3.3%
89 3
10.0%
88 1
 
3.3%

주방용품(C04_22)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean711.33333
Minimum267
Maximum1036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:14.070456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum267
5-th percentile332.65
Q1463.25
median712
Q3915.25
95-th percentile1013.5
Maximum1036
Range769
Interquartile range (IQR)452

Descriptive statistics

Standard deviation238.88294
Coefficient of variation (CV)0.33582418
Kurtosis-1.18869
Mean711.33333
Median Absolute Deviation (MAD)216
Skewness-0.41454348
Sum21340
Variance57065.057
MonotonicityNot monotonic
2023-12-10T23:59:14.314412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
696 1
 
3.3%
675 1
 
3.3%
926 1
 
3.3%
940 1
 
3.3%
880 1
 
3.3%
342 1
 
3.3%
267 1
 
3.3%
934 1
 
3.3%
895 1
 
3.3%
442 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
267 1
3.3%
325 1
3.3%
342 1
3.3%
350 1
3.3%
441 1
3.3%
442 1
3.3%
450 1
3.3%
453 1
3.3%
494 1
3.3%
644 1
3.3%
ValueCountFrequency (%)
1036 1
3.3%
1027 1
3.3%
997 1
3.3%
975 1
3.3%
940 1
3.3%
934 1
3.3%
926 1
3.3%
922 1
3.3%
895 1
3.3%
880 1
3.3%

청소용품(C04_23)
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.4
Minimum37
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:14.623347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile40
Q172.25
median109
Q3138.25
95-th percentile154.55
Maximum156
Range119
Interquartile range (IQR)66

Descriptive statistics

Standard deviation40.441188
Coefficient of variation (CV)0.391114
Kurtosis-1.3008061
Mean103.4
Median Absolute Deviation (MAD)36.5
Skewness-0.27967338
Sum3102
Variance1635.4897
MonotonicityNot monotonic
2023-12-10T23:59:14.876814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
40 2
 
6.7%
149 2
 
6.7%
87 2
 
6.7%
152 1
 
3.3%
68 1
 
3.3%
73 1
 
3.3%
42 1
 
3.3%
126 1
 
3.3%
72 1
 
3.3%
140 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
37 1
3.3%
40 2
6.7%
42 1
3.3%
47 1
3.3%
56 1
3.3%
68 1
3.3%
72 1
3.3%
73 1
3.3%
85 1
3.3%
86 1
3.3%
ValueCountFrequency (%)
156 1
3.3%
155 1
3.3%
154 1
3.3%
152 1
3.3%
149 2
6.7%
148 1
3.3%
140 1
3.3%
133 1
3.3%
130 1
3.3%
129 1
3.3%

검도(C05_01)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
2
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row0
3rd row0
4th row4
5th row0

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 5
 
16.7%
2 2
 
6.7%
4 1
 
3.3%

Length

2023-12-10T23:59:15.141949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:15.378244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 5
 
16.7%
2 2
 
6.7%
4 1
 
3.3%

골프(C05_02)
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.033333
Minimum7
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:15.575764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile9.9
Q123.25
median30
Q351.75
95-th percentile76.2
Maximum88
Range81
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation21.586208
Coefficient of variation (CV)0.5828859
Kurtosis-0.26818557
Mean37.033333
Median Absolute Deviation (MAD)15
Skewness0.71077138
Sum1111
Variance465.96437
MonotonicityNot monotonic
2023-12-10T23:59:15.819727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
27 2
 
6.7%
45 2
 
6.7%
13 2
 
6.7%
35 2
 
6.7%
29 2
 
6.7%
24 2
 
6.7%
58 1
 
3.3%
74 1
 
3.3%
7 1
 
3.3%
57 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
7 1
3.3%
9 1
3.3%
11 1
3.3%
13 2
6.7%
18 1
3.3%
21 1
3.3%
23 1
3.3%
24 2
6.7%
26 1
3.3%
27 2
6.7%
ValueCountFrequency (%)
88 1
3.3%
78 1
3.3%
74 1
3.3%
65 1
3.3%
61 1
3.3%
58 1
3.3%
57 1
3.3%
53 1
3.3%
48 1
3.3%
45 2
6.7%

권투(C05_03)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8333333
Minimum0
Maximum23
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:16.055674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q12
median5
Q37
95-th percentile16.65
Maximum23
Range23
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.356809
Coefficient of variation (CV)0.91831011
Kurtosis2.9946025
Mean5.8333333
Median Absolute Deviation (MAD)3
Skewness1.6779469
Sum175
Variance28.695402
MonotonicityNot monotonic
2023-12-10T23:59:16.243063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 6
20.0%
6 5
16.7%
7 3
10.0%
3 3
10.0%
5 2
 
6.7%
0 2
 
6.7%
1 2
 
6.7%
23 1
 
3.3%
15 1
 
3.3%
4 1
 
3.3%
Other values (4) 4
13.3%
ValueCountFrequency (%)
0 2
 
6.7%
1 2
 
6.7%
2 6
20.0%
3 3
10.0%
4 1
 
3.3%
5 2
 
6.7%
6 5
16.7%
7 3
10.0%
8 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
23 1
 
3.3%
18 1
 
3.3%
15 1
 
3.3%
12 1
 
3.3%
11 1
 
3.3%
8 1
 
3.3%
7 3
10.0%
6 5
16.7%
5 2
 
6.7%
4 1
 
3.3%

낚시(C05_04)
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.366667
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:16.472175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q17
median11.5
Q314.75
95-th percentile22.1
Maximum26
Range25
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation6.217236
Coefficient of variation (CV)0.54697091
Kurtosis-0.071697706
Mean11.366667
Median Absolute Deviation (MAD)4
Skewness0.3911726
Sum341
Variance38.654023
MonotonicityNot monotonic
2023-12-10T23:59:16.722506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
13 4
13.3%
6 3
 
10.0%
7 2
 
6.7%
14 2
 
6.7%
9 2
 
6.7%
1 2
 
6.7%
8 2
 
6.7%
15 2
 
6.7%
2 1
 
3.3%
12 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
1 2
6.7%
2 1
 
3.3%
5 1
 
3.3%
6 3
10.0%
7 2
6.7%
8 2
6.7%
9 2
6.7%
10 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
26 1
 
3.3%
23 1
 
3.3%
21 1
 
3.3%
19 1
 
3.3%
18 1
 
3.3%
16 1
 
3.3%
15 2
6.7%
14 2
6.7%
13 4
13.3%
12 1
 
3.3%

농구(C05_05)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6666667
Minimum0
Maximum14
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:16.944455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q34
95-th percentile11.55
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.6703221
Coefficient of variation (CV)1.0009969
Kurtosis1.6102438
Mean3.6666667
Median Absolute Deviation (MAD)2
Skewness1.4643993
Sum110
Variance13.471264
MonotonicityNot monotonic
2023-12-10T23:59:17.198915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 6
20.0%
3 5
16.7%
2 4
13.3%
0 4
13.3%
4 4
13.3%
6 2
 
6.7%
7 1
 
3.3%
14 1
 
3.3%
11 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
0 4
13.3%
1 6
20.0%
2 4
13.3%
3 5
16.7%
4 4
13.3%
6 2
 
6.7%
7 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
12 1
 
3.3%
11 1
 
3.3%
9 1
 
3.3%
7 1
 
3.3%
6 2
 
6.7%
4 4
13.3%
3 5
16.7%
2 4
13.3%
1 6
20.0%

등산(C05_06)
Real number (ℝ)

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.233333
Minimum4
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:17.416692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.9
Q19.25
median13.5
Q319
95-th percentile31
Maximum61
Range57
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation11.115951
Coefficient of variation (CV)0.68476085
Kurtosis8.3549906
Mean16.233333
Median Absolute Deviation (MAD)5.5
Skewness2.4289264
Sum487
Variance123.56437
MonotonicityNot monotonic
2023-12-10T23:59:17.591621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
7 3
 
10.0%
13 3
 
10.0%
10 2
 
6.7%
18 2
 
6.7%
31 2
 
6.7%
8 2
 
6.7%
19 2
 
6.7%
11 2
 
6.7%
15 2
 
6.7%
25 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
4 1
 
3.3%
5 1
 
3.3%
7 3
10.0%
8 2
6.7%
9 1
 
3.3%
10 2
6.7%
11 2
6.7%
13 3
10.0%
14 1
 
3.3%
15 2
6.7%
ValueCountFrequency (%)
61 1
3.3%
31 2
6.7%
27 1
3.3%
25 1
3.3%
21 1
3.3%
20 1
3.3%
19 2
6.7%
18 2
6.7%
17 1
3.3%
15 2
6.7%

무술(C05_07)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
15 
1
2
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row1
2nd row6
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 15
50.0%
1 9
30.0%
2 5
 
16.7%
6 1
 
3.3%

Length

2023-12-10T23:59:17.801669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:18.017572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
50.0%
1 9
30.0%
2 5
 
16.7%
6 1
 
3.3%

배구(C05_08)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
20 
1
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 20
66.7%
1 8
 
26.7%
2 2
 
6.7%

Length

2023-12-10T23:59:18.263450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:18.457660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
66.7%
1 8
 
26.7%
2 2
 
6.7%

배드민턴(C05_09)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6
Minimum0
Maximum20
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:18.684815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.710191
Coefficient of variation (CV)1.4269965
Kurtosis17.331306
Mean2.6
Median Absolute Deviation (MAD)1
Skewness3.772484
Sum78
Variance13.765517
MonotonicityNot monotonic
2023-12-10T23:59:18.929831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 7
23.3%
0 7
23.3%
1 6
20.0%
2 5
16.7%
6 2
 
6.7%
5 1
 
3.3%
20 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 7
23.3%
1 6
20.0%
2 5
16.7%
3 7
23.3%
4 1
 
3.3%
5 1
 
3.3%
6 2
 
6.7%
20 1
 
3.3%
ValueCountFrequency (%)
20 1
 
3.3%
6 2
 
6.7%
5 1
 
3.3%
4 1
 
3.3%
3 7
23.3%
2 5
16.7%
1 6
20.0%
0 7
23.3%

볼링(C05_10)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3
Minimum0
Maximum23
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:19.208349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32.75
95-th percentile17.85
Maximum23
Range23
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation5.7484631
Coefficient of variation (CV)1.7419585
Kurtosis6.8781704
Mean3.3
Median Absolute Deviation (MAD)1
Skewness2.7384449
Sum99
Variance33.044828
MonotonicityNot monotonic
2023-12-10T23:59:19.434690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 11
36.7%
0 6
20.0%
2 5
16.7%
3 3
 
10.0%
5 1
 
3.3%
23 1
 
3.3%
6 1
 
3.3%
21 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
0 6
20.0%
1 11
36.7%
2 5
16.7%
3 3
 
10.0%
5 1
 
3.3%
6 1
 
3.3%
14 1
 
3.3%
21 1
 
3.3%
23 1
 
3.3%
ValueCountFrequency (%)
23 1
 
3.3%
21 1
 
3.3%
14 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
3 3
 
10.0%
2 5
16.7%
1 11
36.7%
0 6
20.0%

수영(C05_11)
Real number (ℝ)

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.433333
Minimum2
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:19.629208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15.25
median10.5
Q314.75
95-th percentile21
Maximum37
Range35
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation7.4633973
Coefficient of variation (CV)0.65277527
Kurtosis3.4074738
Mean11.433333
Median Absolute Deviation (MAD)4.5
Skewness1.3297258
Sum343
Variance55.702299
MonotonicityNot monotonic
2023-12-10T23:59:19.854379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10 4
13.3%
5 3
10.0%
15 3
10.0%
2 3
10.0%
13 3
10.0%
21 2
 
6.7%
3 2
 
6.7%
14 2
 
6.7%
9 1
 
3.3%
8 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
2 3
10.0%
3 2
6.7%
5 3
10.0%
6 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
10 4
13.3%
11 1
 
3.3%
12 1
 
3.3%
13 3
10.0%
ValueCountFrequency (%)
37 1
 
3.3%
21 2
6.7%
20 1
 
3.3%
19 1
 
3.3%
15 3
10.0%
14 2
6.7%
13 3
10.0%
12 1
 
3.3%
11 1
 
3.3%
10 4
13.3%

스테이트/보드/롤러(C05_12)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1
Minimum0
Maximum31
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:20.087816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11.2
Maximum31
Range31
Interquartile range (IQR)3

Descriptive statistics

Standard deviation6.0192221
Coefficient of variation (CV)1.9416845
Kurtosis16.627646
Mean3.1
Median Absolute Deviation (MAD)1
Skewness3.8208772
Sum93
Variance36.231034
MonotonicityNot monotonic
2023-12-10T23:59:20.319918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 10
33.3%
1 6
20.0%
2 5
16.7%
5 3
 
10.0%
3 3
 
10.0%
31 1
 
3.3%
9 1
 
3.3%
13 1
 
3.3%
ValueCountFrequency (%)
0 10
33.3%
1 6
20.0%
2 5
16.7%
3 3
 
10.0%
5 3
 
10.0%
9 1
 
3.3%
13 1
 
3.3%
31 1
 
3.3%
ValueCountFrequency (%)
31 1
 
3.3%
13 1
 
3.3%
9 1
 
3.3%
5 3
 
10.0%
3 3
 
10.0%
2 5
16.7%
1 6
20.0%
0 10
33.3%
Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 7
 
23.3%
3 1
 
3.3%

Length

2023-12-10T23:59:20.565801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:20.815180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 7
 
23.3%
3 1
 
3.3%
Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:21.020965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q13.25
median6
Q313
95-th percentile25.6
Maximum32
Range31
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation7.9148486
Coefficient of variation (CV)0.86976358
Kurtosis2.5679347
Mean9.1
Median Absolute Deviation (MAD)3
Skewness1.6138194
Sum273
Variance62.644828
MonotonicityNot monotonic
2023-12-10T23:59:21.263056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
6 4
13.3%
3 4
13.3%
8 3
10.0%
4 2
 
6.7%
5 2
 
6.7%
1 2
 
6.7%
14 2
 
6.7%
13 2
 
6.7%
2 2
 
6.7%
9 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
1 2
6.7%
2 2
6.7%
3 4
13.3%
4 2
6.7%
5 2
6.7%
6 4
13.3%
8 3
10.0%
9 1
 
3.3%
10 1
 
3.3%
13 2
6.7%
ValueCountFrequency (%)
32 1
 
3.3%
31 1
 
3.3%
19 1
 
3.3%
18 1
 
3.3%
16 1
 
3.3%
14 2
6.7%
13 2
6.7%
10 1
 
3.3%
9 1
 
3.3%
8 3
10.0%

스킨스쿠버(C05_15)
Real number (ℝ)

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4333333
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:21.488324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.25
median5
Q37
95-th percentile15.3
Maximum36
Range35
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation6.6003309
Coefficient of variation (CV)1.0259582
Kurtosis14.259067
Mean6.4333333
Median Absolute Deviation (MAD)2
Skewness3.4499702
Sum193
Variance43.564368
MonotonicityNot monotonic
2023-12-10T23:59:21.724349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 6
20.0%
4 5
16.7%
3 4
13.3%
7 3
10.0%
1 3
10.0%
6 2
 
6.7%
8 2
 
6.7%
2 1
 
3.3%
18 1
 
3.3%
36 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
1 3
10.0%
2 1
 
3.3%
3 4
13.3%
4 5
16.7%
5 6
20.0%
6 2
 
6.7%
7 3
10.0%
8 2
 
6.7%
11 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
36 1
 
3.3%
18 1
 
3.3%
12 1
 
3.3%
11 1
 
3.3%
8 2
 
6.7%
7 3
10.0%
6 2
 
6.7%
5 6
20.0%
4 5
16.7%
3 4
13.3%

스포츠레저기타(C05_16)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7666667
Minimum0
Maximum24
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:21.966923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35.75
95-th percentile17.1
Maximum24
Range24
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation5.5440763
Coefficient of variation (CV)1.1630929
Kurtosis5.0567142
Mean4.7666667
Median Absolute Deviation (MAD)2
Skewness2.2048056
Sum143
Variance30.736782
MonotonicityNot monotonic
2023-12-10T23:59:22.221373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 5
16.7%
3 5
16.7%
4 5
16.7%
2 4
13.3%
8 2
 
6.7%
1 2
 
6.7%
6 2
 
6.7%
5 1
 
3.3%
18 1
 
3.3%
16 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 5
16.7%
1 2
 
6.7%
2 4
13.3%
3 5
16.7%
4 5
16.7%
5 1
 
3.3%
6 2
 
6.7%
7 1
 
3.3%
8 2
 
6.7%
16 1
 
3.3%
ValueCountFrequency (%)
24 1
 
3.3%
18 1
 
3.3%
16 1
 
3.3%
8 2
 
6.7%
7 1
 
3.3%
6 2
 
6.7%
5 1
 
3.3%
4 5
16.7%
3 5
16.7%
2 4
13.3%
Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
2
0
3
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row2
4th row2
5th row0

Common Values

ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
0 7
23.3%
3 4
13.3%
4 3
 
10.0%

Length

2023-12-10T23:59:22.486087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:22.780269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
0 7
23.3%
3 4
13.3%
4 3
 
10.0%

야구(C05_18)
Real number (ℝ)

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5333333
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:23.469819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q16
median9.5
Q312
95-th percentile17.55
Maximum19
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.508485
Coefficient of variation (CV)0.472918
Kurtosis-0.34966862
Mean9.5333333
Median Absolute Deviation (MAD)3.5
Skewness0.22185775
Sum286
Variance20.326437
MonotonicityNot monotonic
2023-12-10T23:59:23.662084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6 4
13.3%
12 3
10.0%
9 3
10.0%
10 3
10.0%
14 3
10.0%
5 3
10.0%
8 2
 
6.7%
11 2
 
6.7%
4 1
 
3.3%
19 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
1 1
 
3.3%
2 1
 
3.3%
4 1
 
3.3%
5 3
10.0%
6 4
13.3%
8 2
6.7%
9 3
10.0%
10 3
10.0%
11 2
6.7%
12 3
10.0%
ValueCountFrequency (%)
19 1
 
3.3%
18 1
 
3.3%
17 1
 
3.3%
14 3
10.0%
13 1
 
3.3%
12 3
10.0%
11 2
6.7%
10 3
10.0%
9 3
10.0%
8 2
6.7%

오토바이/스쿠터(C05_19)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0333333
Minimum0
Maximum27
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:23.927134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median7
Q39.5
95-th percentile12.55
Maximum27
Range27
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.2225198
Coefficient of variation (CV)0.74253835
Kurtosis6.3601491
Mean7.0333333
Median Absolute Deviation (MAD)3
Skewness1.8534549
Sum211
Variance27.274713
MonotonicityNot monotonic
2023-12-10T23:59:24.166010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8 5
16.7%
3 4
13.3%
10 3
10.0%
6 3
10.0%
1 3
10.0%
7 3
10.0%
5 2
 
6.7%
12 2
 
6.7%
27 1
 
3.3%
13 1
 
3.3%
Other values (3) 3
10.0%
ValueCountFrequency (%)
0 1
 
3.3%
1 3
10.0%
2 1
 
3.3%
3 4
13.3%
5 2
 
6.7%
6 3
10.0%
7 3
10.0%
8 5
16.7%
10 3
10.0%
11 1
 
3.3%
ValueCountFrequency (%)
27 1
 
3.3%
13 1
 
3.3%
12 2
 
6.7%
11 1
 
3.3%
10 3
10.0%
8 5
16.7%
7 3
10.0%
6 3
10.0%
5 2
 
6.7%
3 4
13.3%
Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.966667
Minimum5
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:24.414086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q16.25
median12
Q314
95-th percentile23.55
Maximum25
Range20
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation5.9392519
Coefficient of variation (CV)0.49631631
Kurtosis-0.046616796
Mean11.966667
Median Absolute Deviation (MAD)5
Skewness0.75005962
Sum359
Variance35.274713
MonotonicityNot monotonic
2023-12-10T23:59:24.662393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
14 6
20.0%
5 4
13.3%
12 4
13.3%
6 4
13.3%
13 3
10.0%
7 3
10.0%
23 2
 
6.7%
25 1
 
3.3%
11 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
5 4
13.3%
6 4
13.3%
7 3
10.0%
11 1
 
3.3%
12 4
13.3%
13 3
10.0%
14 6
20.0%
17 1
 
3.3%
23 2
 
6.7%
24 1
 
3.3%
ValueCountFrequency (%)
25 1
 
3.3%
24 1
 
3.3%
23 2
 
6.7%
17 1
 
3.3%
14 6
20.0%
13 3
10.0%
12 4
13.3%
11 1
 
3.3%
7 3
10.0%
6 4
13.3%
Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
2
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 24
80.0%
2 3
 
10.0%
1 3
 
10.0%

Length

2023-12-10T23:59:24.905740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:25.121367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
2 3
 
10.0%
1 3
 
10.0%

자전거(C05_22)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.966667
Minimum0
Maximum41
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:25.340352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.45
Q17
median12.5
Q319.75
95-th percentile27.75
Maximum41
Range41
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation9.1782476
Coefficient of variation (CV)0.65715377
Kurtosis1.1169763
Mean13.966667
Median Absolute Deviation (MAD)5.5
Skewness0.96320388
Sum419
Variance84.24023
MonotonicityNot monotonic
2023-12-10T23:59:25.567827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7 4
13.3%
16 4
13.3%
21 2
 
6.7%
4 2
 
6.7%
25 2
 
6.7%
14 2
 
6.7%
12 2
 
6.7%
11 2
 
6.7%
8 1
 
3.3%
3 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 1
 
3.3%
3 1
 
3.3%
4 2
6.7%
5 1
 
3.3%
6 1
 
3.3%
7 4
13.3%
8 1
 
3.3%
11 2
6.7%
12 2
6.7%
13 1
 
3.3%
ValueCountFrequency (%)
41 1
 
3.3%
30 1
 
3.3%
25 2
6.7%
24 1
 
3.3%
23 1
 
3.3%
21 2
6.7%
16 4
13.3%
14 2
6.7%
13 1
 
3.3%
12 2
6.7%

족구(C05_23)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1
Minimum0
Maximum9
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:25.778060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q33
95-th percentile6.55
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2946715
Coefficient of variation (CV)1.0927007
Kurtosis1.7999656
Mean2.1
Median Absolute Deviation (MAD)1.5
Skewness1.3917709
Sum63
Variance5.2655172
MonotonicityNot monotonic
2023-12-10T23:59:25.985905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 9
30.0%
1 6
20.0%
2 5
16.7%
3 4
13.3%
4 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
0 9
30.0%
1 6
20.0%
2 5
16.7%
3 4
13.3%
4 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
9 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
4 2
 
6.7%
3 4
13.3%
2 5
16.7%
1 6
20.0%
0 9
30.0%

축구(C05_24)
Real number (ℝ)

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.833333
Minimum4
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:26.190121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.45
Q19
median12.5
Q317
95-th percentile20.55
Maximum25
Range21
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.3696679
Coefficient of variation (CV)0.41841568
Kurtosis-0.69808662
Mean12.833333
Median Absolute Deviation (MAD)4.5
Skewness0.37064363
Sum385
Variance28.833333
MonotonicityNot monotonic
2023-12-10T23:59:26.396241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9 4
13.3%
8 3
 
10.0%
20 2
 
6.7%
19 2
 
6.7%
14 2
 
6.7%
13 2
 
6.7%
15 2
 
6.7%
10 2
 
6.7%
17 2
 
6.7%
4 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 3
10.0%
9 4
13.3%
10 2
6.7%
11 1
 
3.3%
12 1
 
3.3%
13 2
6.7%
ValueCountFrequency (%)
25 1
3.3%
21 1
3.3%
20 2
6.7%
19 2
6.7%
18 1
3.3%
17 2
6.7%
15 2
6.7%
14 2
6.7%
13 2
6.7%
12 1
3.3%

캠핑(C05_25)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.066667
Minimum7
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:26.581585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8.45
Q117.5
median27.5
Q348
95-th percentile82.1
Maximum93
Range86
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation23.861574
Coefficient of variation (CV)0.68046314
Kurtosis0.10361447
Mean35.066667
Median Absolute Deviation (MAD)15
Skewness0.95232703
Sum1052
Variance569.37471
MonotonicityNot monotonic
2023-12-10T23:59:26.757098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
38 2
 
6.7%
13 2
 
6.7%
24 1
 
3.3%
71 1
 
3.3%
28 1
 
3.3%
81 1
 
3.3%
9 1
 
3.3%
57 1
 
3.3%
44 1
 
3.3%
20 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
7 1
3.3%
8 1
3.3%
9 1
3.3%
11 1
3.3%
12 1
3.3%
13 2
6.7%
17 1
3.3%
19 1
3.3%
20 1
3.3%
21 1
3.3%
ValueCountFrequency (%)
93 1
3.3%
83 1
3.3%
81 1
3.3%
71 1
3.3%
57 1
3.3%
56 1
3.3%
54 1
3.3%
49 1
3.3%
45 1
3.3%
44 1
3.3%

탁구(C05_26)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3666667
Minimum0
Maximum5
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:26.932477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q33
95-th percentile4.55
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4735211
Coefficient of variation (CV)0.62261454
Kurtosis-0.88191497
Mean2.3666667
Median Absolute Deviation (MAD)1
Skewness-0.13559587
Sum71
Variance2.1712644
MonotonicityNot monotonic
2023-12-10T23:59:27.102745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 11
36.7%
1 6
20.0%
0 4
 
13.3%
4 4
 
13.3%
2 3
 
10.0%
5 2
 
6.7%
ValueCountFrequency (%)
0 4
 
13.3%
1 6
20.0%
2 3
 
10.0%
3 11
36.7%
4 4
 
13.3%
5 2
 
6.7%
ValueCountFrequency (%)
5 2
 
6.7%
4 4
 
13.3%
3 11
36.7%
2 3
 
10.0%
1 6
20.0%
0 4
 
13.3%

테니스(C05_27)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7666667
Minimum0
Maximum10
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:27.267259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q12
median3
Q35.75
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.5145553
Coefficient of variation (CV)0.66758106
Kurtosis-0.10819673
Mean3.7666667
Median Absolute Deviation (MAD)2
Skewness0.60355487
Sum113
Variance6.3229885
MonotonicityNot monotonic
2023-12-10T23:59:27.446712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 6
20.0%
4 4
13.3%
6 4
13.3%
1 4
13.3%
2 4
13.3%
0 2
 
6.7%
5 2
 
6.7%
8 2
 
6.7%
10 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
0 2
 
6.7%
1 4
13.3%
2 4
13.3%
3 6
20.0%
4 4
13.3%
5 2
 
6.7%
6 4
13.3%
7 1
 
3.3%
8 2
 
6.7%
10 1
 
3.3%
ValueCountFrequency (%)
10 1
 
3.3%
8 2
 
6.7%
7 1
 
3.3%
6 4
13.3%
5 2
 
6.7%
4 4
13.3%
3 6
20.0%
2 4
13.3%
1 4
13.3%
0 2
 
6.7%

헬스(C05_28)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.433333
Minimum13
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:27.620759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile17.15
Q132.25
median46
Q365.5
95-th percentile83.15
Maximum97
Range84
Interquartile range (IQR)33.25

Descriptive statistics

Standard deviation21.691701
Coefficient of variation (CV)0.45730922
Kurtosis-0.40899957
Mean47.433333
Median Absolute Deviation (MAD)16
Skewness0.43664031
Sum1423
Variance470.52989
MonotonicityNot monotonic
2023-12-10T23:59:27.834494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
36 2
 
6.7%
50 2
 
6.7%
42 1
 
3.3%
72 1
 
3.3%
32 1
 
3.3%
22 1
 
3.3%
13 1
 
3.3%
29 1
 
3.3%
52 1
 
3.3%
97 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
13 1
3.3%
14 1
3.3%
21 1
3.3%
22 1
3.3%
24 1
3.3%
26 1
3.3%
29 1
3.3%
32 1
3.3%
33 1
3.3%
36 2
6.7%
ValueCountFrequency (%)
97 1
3.3%
89 1
3.3%
76 1
3.3%
72 1
3.3%
71 1
3.3%
69 1
3.3%
68 1
3.3%
67 1
3.3%
61 1
3.3%
56 1
3.3%

가공식품(C06_01)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1900.4667
Minimum620
Maximum2943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:28.022881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum620
5-th percentile972.45
Q11352.75
median2075
Q32255
95-th percentile2761.75
Maximum2943
Range2323
Interquartile range (IQR)902.25

Descriptive statistics

Standard deviation614.0763
Coefficient of variation (CV)0.32311869
Kurtosis-0.77491331
Mean1900.4667
Median Absolute Deviation (MAD)409.5
Skewness-0.32145808
Sum57014
Variance377089.71
MonotonicityNot monotonic
2023-12-10T23:59:28.192929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2375 2
 
6.7%
2201 1
 
3.3%
2246 1
 
3.3%
1121 1
 
3.3%
2177 1
 
3.3%
1169 1
 
3.3%
2687 1
 
3.3%
2603 1
 
3.3%
945 1
 
3.3%
2096 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
620 1
3.3%
945 1
3.3%
1006 1
3.3%
1121 1
3.3%
1138 1
3.3%
1169 1
3.3%
1225 1
3.3%
1325 1
3.3%
1436 1
3.3%
1556 1
3.3%
ValueCountFrequency (%)
2943 1
3.3%
2800 1
3.3%
2715 1
3.3%
2687 1
3.3%
2603 1
3.3%
2375 2
6.7%
2258 1
3.3%
2246 1
3.3%
2201 1
3.3%
2177 1
3.3%

건강식품(C06_02)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1303.0333
Minimum545
Maximum2147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:28.340792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum545
5-th percentile579
Q1741.5
median1343.5
Q31693.75
95-th percentile2127.15
Maximum2147
Range1602
Interquartile range (IQR)952.25

Descriptive statistics

Standard deviation531.87382
Coefficient of variation (CV)0.40818128
Kurtosis-1.2775201
Mean1303.0333
Median Absolute Deviation (MAD)447.5
Skewness0.037098327
Sum39091
Variance282889.76
MonotonicityNot monotonic
2023-12-10T23:59:28.525069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1527 1
 
3.3%
1243 1
 
3.3%
552 1
 
3.3%
1368 1
 
3.3%
2142 1
 
3.3%
612 1
 
3.3%
1572 1
 
3.3%
2109 1
 
3.3%
1909 1
 
3.3%
1286 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
545 1
3.3%
552 1
3.3%
612 1
3.3%
624 1
3.3%
636 1
3.3%
651 1
3.3%
695 1
3.3%
697 1
3.3%
875 1
3.3%
960 1
3.3%
ValueCountFrequency (%)
2147 1
3.3%
2142 1
3.3%
2109 1
3.3%
1984 1
3.3%
1978 1
3.3%
1909 1
3.3%
1770 1
3.3%
1696 1
3.3%
1687 1
3.3%
1572 1
3.3%

과자/간식(C06_03)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:28.778776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:28.902562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1384.8
Minimum682
Maximum2444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:29.011964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum682
5-th percentile708.8
Q1932.25
median1419
Q31761.5
95-th percentile2270.75
Maximum2444
Range1762
Interquartile range (IQR)829.25

Descriptive statistics

Standard deviation523.02986
Coefficient of variation (CV)0.37769343
Kurtosis-0.84389866
Mean1384.8
Median Absolute Deviation (MAD)469.5
Skewness0.34593112
Sum41544
Variance273560.23
MonotonicityNot monotonic
2023-12-10T23:59:29.200819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2444 2
 
6.7%
929 1
 
3.3%
906 1
 
3.3%
942 1
 
3.3%
1394 1
 
3.3%
1487 1
 
3.3%
957 1
 
3.3%
776 1
 
3.3%
711 1
 
3.3%
1590 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
682 1
3.3%
707 1
3.3%
711 1
3.3%
743 1
3.3%
775 1
3.3%
776 1
3.3%
906 1
3.3%
929 1
3.3%
942 1
3.3%
957 1
3.3%
ValueCountFrequency (%)
2444 2
6.7%
2059 1
3.3%
1957 1
3.3%
1932 1
3.3%
1926 1
3.3%
1865 1
3.3%
1778 1
3.3%
1712 1
3.3%
1675 1
3.3%
1640 1
3.3%

농산물(C06_05)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:29.379123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:29.517814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

반찬(C06_06)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.56667
Minimum61
Maximum377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:29.665665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61
5-th percentile89.55
Q1132.25
median184.5
Q3305
95-th percentile365
Maximum377
Range316
Interquartile range (IQR)172.75

Descriptive statistics

Standard deviation95.229915
Coefficient of variation (CV)0.46325563
Kurtosis-1.0364275
Mean205.56667
Median Absolute Deviation (MAD)62
Skewness0.49733293
Sum6167
Variance9068.7368
MonotonicityNot monotonic
2023-12-10T23:59:29.865262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
332 2
 
6.7%
111 2
 
6.7%
72 1
 
3.3%
121 1
 
3.3%
159 1
 
3.3%
133 1
 
3.3%
132 1
 
3.3%
184 1
 
3.3%
326 1
 
3.3%
224 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
61 1
3.3%
72 1
3.3%
111 2
6.7%
112 1
3.3%
121 1
3.3%
124 1
3.3%
132 1
3.3%
133 1
3.3%
139 1
3.3%
142 1
3.3%
ValueCountFrequency (%)
377 1
3.3%
374 1
3.3%
354 1
3.3%
332 2
6.7%
326 1
3.3%
325 1
3.3%
322 1
3.3%
254 1
3.3%
233 1
3.3%
224 1
3.3%

수산물(C06_07)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:30.054170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:30.216180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

식품기타(C06_08)
Real number (ℝ)

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266.23333
Minimum154
Maximum387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:30.362178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum154
5-th percentile179.05
Q1209
median268.5
Q3317.75
95-th percentile364.2
Maximum387
Range233
Interquartile range (IQR)108.75

Descriptive statistics

Standard deviation63.850949
Coefficient of variation (CV)0.23983078
Kurtosis-0.9584316
Mean266.23333
Median Absolute Deviation (MAD)59.5
Skewness0.12988091
Sum7987
Variance4076.9437
MonotonicityNot monotonic
2023-12-10T23:59:30.573020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
205 2
 
6.7%
339 2
 
6.7%
192 2
 
6.7%
221 2
 
6.7%
289 1
 
3.3%
184 1
 
3.3%
247 1
 
3.3%
278 1
 
3.3%
387 1
 
3.3%
299 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
154 1
3.3%
175 1
3.3%
184 1
3.3%
192 2
6.7%
196 1
3.3%
205 2
6.7%
221 2
6.7%
230 1
3.3%
247 1
3.3%
255 1
3.3%
ValueCountFrequency (%)
387 1
3.3%
375 1
3.3%
351 1
3.3%
346 1
3.3%
339 2
6.7%
334 1
3.3%
324 1
3.3%
299 1
3.3%
292 1
3.3%
289 1
3.3%

신선식품(C06_09)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1369.3
Minimum526
Maximum2581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:30.791574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum526
5-th percentile586.55
Q1989.5
median1327.5
Q31637.25
95-th percentile2479.05
Maximum2581
Range2055
Interquartile range (IQR)647.75

Descriptive statistics

Standard deviation582.3657
Coefficient of variation (CV)0.42530176
Kurtosis-0.31608422
Mean1369.3
Median Absolute Deviation (MAD)334.5
Skewness0.55676381
Sum41079
Variance339149.8
MonotonicityNot monotonic
2023-12-10T23:59:31.030175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2266 1
 
3.3%
1648 1
 
3.3%
1783 1
 
3.3%
979 1
 
3.3%
1132 1
 
3.3%
1330 1
 
3.3%
1125 1
 
3.3%
2073 1
 
3.3%
2581 1
 
3.3%
1072 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
526 1
3.3%
569 1
3.3%
608 1
3.3%
633 1
3.3%
724 1
3.3%
729 1
3.3%
839 1
3.3%
979 1
3.3%
1021 1
3.3%
1072 1
3.3%
ValueCountFrequency (%)
2581 1
3.3%
2556 1
3.3%
2385 1
3.3%
2266 1
3.3%
2073 1
3.3%
1814 1
3.3%
1783 1
3.3%
1648 1
3.3%
1605 1
3.3%
1530 1
3.3%

음료(C06_10)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:31.270082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:31.439306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

축산(C06_11)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:31.650188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:31.835956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

기저귀(C07_01)
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.933333
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:32.024866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q111
median20.5
Q331.75
95-th percentile42
Maximum54
Range53
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation13.721198
Coefficient of variation (CV)0.62558652
Kurtosis-0.50856519
Mean21.933333
Median Absolute Deviation (MAD)11.5
Skewness0.32785305
Sum658
Variance188.27126
MonotonicityNot monotonic
2023-12-10T23:59:32.285068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
19 3
 
10.0%
38 2
 
6.7%
25 2
 
6.7%
1 2
 
6.7%
42 2
 
6.7%
15 2
 
6.7%
24 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
5 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
1 2
6.7%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
10 1
 
3.3%
14 1
 
3.3%
15 2
6.7%
19 3
10.0%
ValueCountFrequency (%)
54 1
3.3%
42 2
6.7%
38 2
6.7%
37 1
3.3%
35 1
3.3%
33 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 2
6.7%

분유/이유식(C07_02)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.133333
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:32.562964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q111.5
median24
Q350.75
95-th percentile74.1
Maximum77
Range76
Interquartile range (IQR)39.25

Descriptive statistics

Standard deviation24.647492
Coefficient of variation (CV)0.76703813
Kurtosis-1.1093411
Mean32.133333
Median Absolute Deviation (MAD)16.5
Skewness0.52544913
Sum964
Variance607.49885
MonotonicityNot monotonic
2023-12-10T23:59:32.850584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
18 2
 
6.7%
19 2
 
6.7%
34 1
 
3.3%
15 1
 
3.3%
1 1
 
3.3%
73 1
 
3.3%
9 1
 
3.3%
58 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
1 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
11 1
3.3%
13 1
3.3%
15 1
3.3%
ValueCountFrequency (%)
77 1
3.3%
75 1
3.3%
73 1
3.3%
71 1
3.3%
66 1
3.3%
58 1
3.3%
57 1
3.3%
51 1
3.3%
50 1
3.3%
49 1
3.3%

수유용품(C07_03)
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.566667
Minimum2
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:33.181354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18.25
median16
Q327.5
95-th percentile39.55
Maximum43
Range41
Interquartile range (IQR)19.25

Descriptive statistics

Standard deviation12.01919
Coefficient of variation (CV)0.64735312
Kurtosis-0.77511073
Mean18.566667
Median Absolute Deviation (MAD)8
Skewness0.60604422
Sum557
Variance144.46092
MonotonicityNot monotonic
2023-12-10T23:59:33.420464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 3
 
10.0%
21 2
 
6.7%
16 2
 
6.7%
30 2
 
6.7%
8 2
 
6.7%
22 1
 
3.3%
6 1
 
3.3%
29 1
 
3.3%
11 1
 
3.3%
43 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
2 1
 
3.3%
5 3
10.0%
6 1
 
3.3%
7 1
 
3.3%
8 2
6.7%
9 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
43 1
3.3%
40 1
3.3%
39 1
3.3%
37 1
3.3%
36 1
3.3%
30 2
6.7%
29 1
3.3%
23 1
3.3%
22 1
3.3%
21 2
6.7%
Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:33.674222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:33.868597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

유아안전용품(C07_05)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3666667
Minimum0
Maximum9
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:34.036083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q36
95-th percentile8.55
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6455341
Coefficient of variation (CV)0.6058475
Kurtosis-1.0280523
Mean4.3666667
Median Absolute Deviation (MAD)2
Skewness0.13620006
Sum131
Variance6.9988506
MonotonicityNot monotonic
2023-12-10T23:59:34.275592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 7
23.3%
1 5
16.7%
3 3
10.0%
2 3
10.0%
8 3
10.0%
6 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
9 2
 
6.7%
0 1
 
3.3%
ValueCountFrequency (%)
0 1
 
3.3%
1 5
16.7%
2 3
10.0%
3 3
10.0%
4 2
 
6.7%
5 7
23.3%
6 2
 
6.7%
7 2
 
6.7%
8 3
10.0%
9 2
 
6.7%
ValueCountFrequency (%)
9 2
 
6.7%
8 3
10.0%
7 2
 
6.7%
6 2
 
6.7%
5 7
23.3%
4 2
 
6.7%
3 3
10.0%
2 3
10.0%
1 5
16.7%
0 1
 
3.3%

유아위생용품(C07_06)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:34.552319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:35.209282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

유아잡화(C07_07)
Real number (ℝ)

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.266667
Minimum3
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:35.402756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.7
Q122.25
median26.5
Q337.5
95-th percentile55.3
Maximum69
Range66
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation15.573925
Coefficient of variation (CV)0.53213865
Kurtosis0.35505613
Mean29.266667
Median Absolute Deviation (MAD)8
Skewness0.58897897
Sum878
Variance242.54713
MonotonicityNot monotonic
2023-12-10T23:59:35.675550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
25 5
16.7%
10 2
 
6.7%
31 2
 
6.7%
33 2
 
6.7%
27 2
 
6.7%
58 1
 
3.3%
47 1
 
3.3%
23 1
 
3.3%
40 1
 
3.3%
43 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
3 1
 
3.3%
4 1
 
3.3%
10 2
 
6.7%
13 1
 
3.3%
15 1
 
3.3%
17 1
 
3.3%
22 1
 
3.3%
23 1
 
3.3%
25 5
16.7%
26 1
 
3.3%
ValueCountFrequency (%)
69 1
3.3%
58 1
3.3%
52 1
3.3%
51 1
3.3%
47 1
3.3%
43 1
3.3%
40 1
3.3%
39 1
3.3%
33 2
6.7%
31 2
6.7%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
23 
1
2
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
76.7%
1 5
 
16.7%
2 1
 
3.3%
3 1
 
3.3%

Length

2023-12-10T23:59:35.947752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:36.155463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
76.7%
1 5
 
16.7%
2 1
 
3.3%
3 1
 
3.3%
Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.133333
Minimum2
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:36.351382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q112.25
median16.5
Q324
95-th percentile35.1
Maximum92
Range90
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation16.149588
Coefficient of variation (CV)0.80213186
Kurtosis13.563447
Mean20.133333
Median Absolute Deviation (MAD)6.5
Skewness3.1610237
Sum604
Variance260.8092
MonotonicityNot monotonic
2023-12-10T23:59:36.568999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
13 4
13.3%
24 3
 
10.0%
17 3
 
10.0%
11 2
 
6.7%
15 2
 
6.7%
30 2
 
6.7%
10 2
 
6.7%
26 1
 
3.3%
36 1
 
3.3%
19 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
2 1
 
3.3%
3 1
 
3.3%
5 1
 
3.3%
10 2
6.7%
11 2
6.7%
12 1
 
3.3%
13 4
13.3%
15 2
6.7%
16 1
 
3.3%
17 3
10.0%
ValueCountFrequency (%)
92 1
 
3.3%
36 1
 
3.3%
34 1
 
3.3%
30 2
6.7%
29 1
 
3.3%
26 1
 
3.3%
24 3
10.0%
23 1
 
3.3%
19 1
 
3.3%
17 3
10.0%

언더웨어/잠옷(C08_01)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean763.3
Minimum287
Maximum1959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:36.807232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum287
5-th percentile318
Q1484.5
median660
Q3857.25
95-th percentile1630.15
Maximum1959
Range1672
Interquartile range (IQR)372.75

Descriptive statistics

Standard deviation408.72832
Coefficient of variation (CV)0.53547533
Kurtosis3.0339569
Mean763.3
Median Absolute Deviation (MAD)187.5
Skewness1.6592156
Sum22899
Variance167058.84
MonotonicityNot monotonic
2023-12-10T23:59:37.092722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
841 1
 
3.3%
743 1
 
3.3%
777 1
 
3.3%
721 1
 
3.3%
907 1
 
3.3%
846 1
 
3.3%
1924 1
 
3.3%
467 1
 
3.3%
532 1
 
3.3%
495 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
287 1
3.3%
309 1
3.3%
329 1
3.3%
377 1
3.3%
416 1
3.3%
467 1
3.3%
471 1
3.3%
481 1
3.3%
495 1
3.3%
532 1
3.3%
ValueCountFrequency (%)
1959 1
3.3%
1924 1
3.3%
1271 1
3.3%
1248 1
3.3%
1054 1
3.3%
1038 1
3.3%
907 1
3.3%
861 1
3.3%
846 1
3.3%
841 1
3.3%

의류(C08_02)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3890.7333
Minimum1905
Maximum7972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:37.353381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1905
5-th percentile2020.15
Q12651.25
median3711.5
Q34869
95-th percentile6237.85
Maximum7972
Range6067
Interquartile range (IQR)2217.75

Descriptive statistics

Standard deviation1492.9554
Coefficient of variation (CV)0.38372083
Kurtosis0.35414776
Mean3890.7333
Median Absolute Deviation (MAD)1128.5
Skewness0.72729011
Sum116722
Variance2228915.9
MonotonicityNot monotonic
2023-12-10T23:59:37.691025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2205 1
 
3.3%
5618 1
 
3.3%
3702 1
 
3.3%
6493 1
 
3.3%
5926 1
 
3.3%
3771 1
 
3.3%
2588 1
 
3.3%
3267 1
 
3.3%
4172 1
 
3.3%
4925 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1905 1
3.3%
1972 1
3.3%
2079 1
3.3%
2111 1
3.3%
2205 1
3.3%
2348 1
3.3%
2588 1
3.3%
2647 1
3.3%
2664 1
3.3%
2962 1
3.3%
ValueCountFrequency (%)
7972 1
3.3%
6493 1
3.3%
5926 1
3.3%
5618 1
3.3%
5398 1
3.3%
5048 1
3.3%
4925 1
3.3%
4877 1
3.3%
4845 1
3.3%
4782 1
3.3%

패션의류기타(C08_03)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean705.03333
Minimum145
Maximum1374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:37.950078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile183.7
Q1394.75
median713
Q3997.5
95-th percentile1261.4
Maximum1374
Range1229
Interquartile range (IQR)602.75

Descriptive statistics

Standard deviation380.06356
Coefficient of variation (CV)0.53907176
Kurtosis-1.1960625
Mean705.03333
Median Absolute Deviation (MAD)319
Skewness0.13660727
Sum21151
Variance144448.31
MonotonicityNot monotonic
2023-12-10T23:59:38.248588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1029 1
 
3.3%
805 1
 
3.3%
1035 1
 
3.3%
1246 1
 
3.3%
903 1
 
3.3%
502 1
 
3.3%
1224 1
 
3.3%
382 1
 
3.3%
1374 1
 
3.3%
1222 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
145 1
3.3%
181 1
3.3%
187 1
3.3%
196 1
3.3%
216 1
3.3%
295 1
3.3%
331 1
3.3%
382 1
3.3%
433 1
3.3%
459 1
3.3%
ValueCountFrequency (%)
1374 1
3.3%
1274 1
3.3%
1246 1
3.3%
1224 1
3.3%
1222 1
3.3%
1179 1
3.3%
1035 1
3.3%
1029 1
3.3%
903 1
3.3%
880 1
3.3%

가방/지갑(C09_01)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean421.43333
Minimum125
Maximum669
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:38.574996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile178
Q1251.25
median422
Q3590.25
95-th percentile644.75
Maximum669
Range544
Interquartile range (IQR)339

Descriptive statistics

Standard deviation175.60176
Coefficient of variation (CV)0.41667743
Kurtosis-1.4478178
Mean421.43333
Median Absolute Deviation (MAD)174
Skewness-0.11943665
Sum12643
Variance30835.978
MonotonicityNot monotonic
2023-12-10T23:59:38.861304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
178 2
 
6.7%
596 1
 
3.3%
383 1
 
3.3%
486 1
 
3.3%
364 1
 
3.3%
626 1
 
3.3%
344 1
 
3.3%
224 1
 
3.3%
527 1
 
3.3%
205 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
125 1
3.3%
178 2
6.7%
195 1
3.3%
205 1
3.3%
222 1
3.3%
224 1
3.3%
248 1
3.3%
261 1
3.3%
325 1
3.3%
344 1
3.3%
ValueCountFrequency (%)
669 1
3.3%
647 1
3.3%
642 1
3.3%
641 1
3.3%
626 1
3.3%
623 1
3.3%
619 1
3.3%
596 1
3.3%
573 1
3.3%
550 1
3.3%

선글라스/안경(C09_02)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:39.118629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:39.315282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

시계(C09_03)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:39.518893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:39.720486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

신발(C09_04)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean724.6
Minimum292
Maximum1513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:39.933255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum292
5-th percentile327.6
Q1490.75
median698
Q3865.25
95-th percentile1265.45
Maximum1513
Range1221
Interquartile range (IQR)374.5

Descriptive statistics

Standard deviation296.00776
Coefficient of variation (CV)0.40851195
Kurtosis0.59477919
Mean724.6
Median Absolute Deviation (MAD)198
Skewness0.84930754
Sum21738
Variance87620.593
MonotonicityNot monotonic
2023-12-10T23:59:40.242566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
791 1
 
3.3%
688 1
 
3.3%
969 1
 
3.3%
439 1
 
3.3%
297 1
 
3.3%
438 1
 
3.3%
511 1
 
3.3%
632 1
 
3.3%
712 1
 
3.3%
1255 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
292 1
3.3%
297 1
3.3%
365 1
3.3%
438 1
3.3%
439 1
3.3%
451 1
3.3%
465 1
3.3%
484 1
3.3%
511 1
3.3%
562 1
3.3%
ValueCountFrequency (%)
1513 1
3.3%
1274 1
3.3%
1255 1
3.3%
1143 1
3.3%
971 1
3.3%
969 1
3.3%
902 1
3.3%
890 1
3.3%
791 1
3.3%
787 1
3.3%

액세서리(C09_05)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303.93333
Minimum125
Maximum555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:40.552078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125
5-th percentile149.8
Q1211
median293
Q3379.25
95-th percentile521.7
Maximum555
Range430
Interquartile range (IQR)168.25

Descriptive statistics

Standard deviation119.19209
Coefficient of variation (CV)0.39216524
Kurtosis-0.45037768
Mean303.93333
Median Absolute Deviation (MAD)89
Skewness0.53652517
Sum9118
Variance14206.754
MonotonicityNot monotonic
2023-12-10T23:59:40.809685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
297 1
 
3.3%
387 1
 
3.3%
181 1
 
3.3%
125 1
 
3.3%
270 1
 
3.3%
340 1
 
3.3%
323 1
 
3.3%
427 1
 
3.3%
368 1
 
3.3%
503 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
125 1
3.3%
148 1
3.3%
152 1
3.3%
155 1
3.3%
181 1
3.3%
185 1
3.3%
199 1
3.3%
205 1
3.3%
229 1
3.3%
237 1
3.3%
ValueCountFrequency (%)
555 1
3.3%
537 1
3.3%
503 1
3.3%
500 1
3.3%
427 1
3.3%
390 1
3.3%
387 1
3.3%
383 1
3.3%
368 1
3.3%
347 1
3.3%

주얼리(C09_06)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:41.095793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:41.414597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

패션소품(C09_07)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean465.4
Minimum150
Maximum912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:41.661884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile193.15
Q1340.5
median446.5
Q3599.5
95-th percentile776.5
Maximum912
Range762
Interquartile range (IQR)259

Descriptive statistics

Standard deviation188.99765
Coefficient of variation (CV)0.40609722
Kurtosis-0.12906594
Mean465.4
Median Absolute Deviation (MAD)124
Skewness0.43271883
Sum13962
Variance35720.11
MonotonicityNot monotonic
2023-12-10T23:59:41.961409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
395 1
 
3.3%
221 1
 
3.3%
844 1
 
3.3%
322 1
 
3.3%
150 1
 
3.3%
342 1
 
3.3%
655 1
 
3.3%
340 1
 
3.3%
401 1
 
3.3%
586 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
150 1
3.3%
190 1
3.3%
197 1
3.3%
221 1
3.3%
256 1
3.3%
322 1
3.3%
323 1
3.3%
340 1
3.3%
342 1
3.3%
369 1
3.3%
ValueCountFrequency (%)
912 1
3.3%
844 1
3.3%
694 1
3.3%
677 1
3.3%
655 1
3.3%
641 1
3.3%
625 1
3.3%
604 1
3.3%
586 1
3.3%
564 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.5
Minimum74
Maximum262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:42.339521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile80.95
Q1107.5
median170
Q3189.75
95-th percentile210.65
Maximum262
Range188
Interquartile range (IQR)82.25

Descriptive statistics

Standard deviation49.175793
Coefficient of variation (CV)0.31828992
Kurtosis-0.9024038
Mean154.5
Median Absolute Deviation (MAD)34.5
Skewness-0.070606334
Sum4635
Variance2418.2586
MonotonicityNot monotonic
2023-12-10T23:59:42.616202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
96 2
 
6.7%
115 2
 
6.7%
191 1
 
3.3%
140 1
 
3.3%
76 1
 
3.3%
74 1
 
3.3%
188 1
 
3.3%
105 1
 
3.3%
136 1
 
3.3%
209 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
74 1
3.3%
76 1
3.3%
87 1
3.3%
90 1
3.3%
96 2
6.7%
103 1
3.3%
105 1
3.3%
115 2
6.7%
132 1
3.3%
136 1
3.3%
ValueCountFrequency (%)
262 1
3.3%
212 1
3.3%
209 1
3.3%
205 1
3.3%
202 1
3.3%
194 1
3.3%
191 1
3.3%
190 1
3.3%
189 1
3.3%
188 1
3.3%

헤어액세서리(C09_09)
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:59:42.956529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:59:43.167419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

기초화장품(C10_01)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1469.2
Minimum693
Maximum2485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:43.382519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum693
5-th percentile785.6
Q11110.5
median1567
Q31680.75
95-th percentile2198.05
Maximum2485
Range1792
Interquartile range (IQR)570.25

Descriptive statistics

Standard deviation451.31634
Coefficient of variation (CV)0.3071851
Kurtosis-0.35669162
Mean1469.2
Median Absolute Deviation (MAD)270
Skewness0.15364556
Sum44076
Variance203686.44
MonotonicityNot monotonic
2023-12-10T23:59:43.668598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1684 1
 
3.3%
1602 1
 
3.3%
1972 1
 
3.3%
1944 1
 
3.3%
2137 1
 
3.3%
926 1
 
3.3%
2485 1
 
3.3%
1515 1
 
3.3%
1641 1
 
3.3%
1671 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
693 1
3.3%
737 1
3.3%
845 1
3.3%
900 1
3.3%
921 1
3.3%
926 1
3.3%
1068 1
3.3%
1087 1
3.3%
1181 1
3.3%
1285 1
3.3%
ValueCountFrequency (%)
2485 1
3.3%
2248 1
3.3%
2137 1
3.3%
1972 1
3.3%
1944 1
3.3%
1825 1
3.3%
1741 1
3.3%
1684 1
3.3%
1671 1
3.3%
1641 1
3.3%
Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.866667
Minimum5
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:43.983363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.9
Q132.25
median39.5
Q352
95-th percentile78
Maximum89
Range84
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation21.888012
Coefficient of variation (CV)0.54903039
Kurtosis-0.16685995
Mean39.866667
Median Absolute Deviation (MAD)11.5
Skewness0.26658301
Sum1196
Variance479.08506
MonotonicityNot monotonic
2023-12-10T23:59:44.231437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
33 3
 
10.0%
53 2
 
6.7%
40 2
 
6.7%
5 2
 
6.7%
78 2
 
6.7%
39 1
 
3.3%
89 1
 
3.3%
37 1
 
3.3%
68 1
 
3.3%
48 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
5 2
6.7%
7 1
 
3.3%
9 1
 
3.3%
12 1
 
3.3%
17 1
 
3.3%
18 1
 
3.3%
32 1
 
3.3%
33 3
10.0%
34 1
 
3.3%
35 1
 
3.3%
ValueCountFrequency (%)
89 1
3.3%
78 2
6.7%
68 1
3.3%
60 1
3.3%
57 1
3.3%
53 2
6.7%
49 1
3.3%
48 1
3.3%
46 1
3.3%
45 1
3.3%

바디용품(C10_03)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.76667
Minimum160
Maximum537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:44.495217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160
5-th percentile170.3
Q1255.5
median397
Q3487
95-th percentile524.95
Maximum537
Range377
Interquartile range (IQR)231.5

Descriptive statistics

Standard deviation128.75202
Coefficient of variation (CV)0.34725888
Kurtosis-1.3349218
Mean370.76667
Median Absolute Deviation (MAD)103
Skewness-0.39465535
Sum11123
Variance16577.082
MonotonicityNot monotonic
2023-12-10T23:59:44.805142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
445 1
 
3.3%
178 1
 
3.3%
392 1
 
3.3%
456 1
 
3.3%
391 1
 
3.3%
266 1
 
3.3%
442 1
 
3.3%
520 1
 
3.3%
503 1
 
3.3%
537 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
160 1
3.3%
164 1
3.3%
178 1
3.3%
182 1
3.3%
183 1
3.3%
215 1
3.3%
216 1
3.3%
252 1
3.3%
266 1
3.3%
298 1
3.3%
ValueCountFrequency (%)
537 1
3.3%
529 1
3.3%
520 1
3.3%
518 1
3.3%
508 1
3.3%
503 1
3.3%
497 1
3.3%
491 1
3.3%
475 1
3.3%
456 1
3.3%

뷰티소품(C10_04)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.56667
Minimum54
Maximum256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:45.111347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile55.35
Q187.5
median115
Q3202.75
95-th percentile252.55
Maximum256
Range202
Interquartile range (IQR)115.25

Descriptive statistics

Standard deviation69.989991
Coefficient of variation (CV)0.48413644
Kurtosis-1.4425471
Mean144.56667
Median Absolute Deviation (MAD)59.5
Skewness0.25287648
Sum4337
Variance4898.5989
MonotonicityNot monotonic
2023-12-10T23:59:45.411999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
113 2
 
6.7%
54 2
 
6.7%
243 1
 
3.3%
117 1
 
3.3%
256 1
 
3.3%
94 1
 
3.3%
69 1
 
3.3%
252 1
 
3.3%
109 1
 
3.3%
67 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
54 2
6.7%
57 1
3.3%
60 1
3.3%
67 1
3.3%
69 1
3.3%
70 1
3.3%
87 1
3.3%
89 1
3.3%
94 1
3.3%
106 1
3.3%
ValueCountFrequency (%)
256 1
3.3%
253 1
3.3%
252 1
3.3%
243 1
3.3%
242 1
3.3%
221 1
3.3%
206 1
3.3%
205 1
3.3%
196 1
3.3%
195 1
3.3%

색조화장품(C10_05)
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean479.8
Minimum169
Maximum814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:45.725375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum169
5-th percentile203.45
Q1295.25
median478.5
Q3656.75
95-th percentile771.95
Maximum814
Range645
Interquartile range (IQR)361.5

Descriptive statistics

Standard deviation200.47193
Coefficient of variation (CV)0.41782394
Kurtosis-1.3735933
Mean479.8
Median Absolute Deviation (MAD)184
Skewness0.055022623
Sum14394
Variance40188.993
MonotonicityNot monotonic
2023-12-10T23:59:46.026652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
545 2
 
6.7%
719 2
 
6.7%
814 1
 
3.3%
785 1
 
3.3%
194 1
 
3.3%
314 1
 
3.3%
371 1
 
3.3%
528 1
 
3.3%
169 1
 
3.3%
283 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
169 1
3.3%
194 1
3.3%
215 1
3.3%
227 1
3.3%
248 1
3.3%
274 1
3.3%
283 1
3.3%
289 1
3.3%
314 1
3.3%
318 1
3.3%
ValueCountFrequency (%)
814 1
3.3%
785 1
3.3%
756 1
3.3%
719 2
6.7%
701 1
3.3%
687 1
3.3%
657 1
3.3%
656 1
3.3%
603 1
3.3%
602 1
3.3%

유아화장품(C10_06)
Real number (ℝ)

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.8
Minimum11
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:46.334035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12.9
Q119
median25.5
Q342.75
95-th percentile64.75
Maximum73
Range62
Interquartile range (IQR)23.75

Descriptive statistics

Standard deviation17.018043
Coefficient of variation (CV)0.53515859
Kurtosis0.0022977972
Mean31.8
Median Absolute Deviation (MAD)9
Skewness0.95597622
Sum954
Variance289.61379
MonotonicityNot monotonic
2023-12-10T23:59:46.591759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
18 3
 
10.0%
25 2
 
6.7%
29 2
 
6.7%
19 2
 
6.7%
14 2
 
6.7%
24 1
 
3.3%
21 1
 
3.3%
22 1
 
3.3%
38 1
 
3.3%
73 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
11 1
 
3.3%
12 1
 
3.3%
14 2
6.7%
18 3
10.0%
19 2
6.7%
21 1
 
3.3%
22 1
 
3.3%
23 1
 
3.3%
24 1
 
3.3%
25 2
6.7%
ValueCountFrequency (%)
73 1
3.3%
67 1
3.3%
62 1
3.3%
55 1
3.3%
53 1
3.3%
47 1
3.3%
46 1
3.3%
44 1
3.3%
39 1
3.3%
38 1
3.3%

향수(C10_07)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.333333
Minimum29
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:46.872926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile33.8
Q155.5
median83.5
Q3110.5
95-th percentile123
Maximum165
Range136
Interquartile range (IQR)55

Descriptive statistics

Standard deviation33.632223
Coefficient of variation (CV)0.40848854
Kurtosis-0.43582447
Mean82.333333
Median Absolute Deviation (MAD)28
Skewness0.24353262
Sum2470
Variance1131.1264
MonotonicityNot monotonic
2023-12-10T23:59:47.232781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
123 2
 
6.7%
36 1
 
3.3%
29 1
 
3.3%
40 1
 
3.3%
69 1
 
3.3%
63 1
 
3.3%
84 1
 
3.3%
93 1
 
3.3%
98 1
 
3.3%
165 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
29 1
3.3%
32 1
3.3%
36 1
3.3%
40 1
3.3%
41 1
3.3%
47 1
3.3%
50 1
3.3%
53 1
3.3%
63 1
3.3%
64 1
3.3%
ValueCountFrequency (%)
165 1
3.3%
123 2
6.7%
118 1
3.3%
117 1
3.3%
113 1
3.3%
112 1
3.3%
111 1
3.3%
109 1
3.3%
104 1
3.3%
99 1
3.3%

헤어용품(C10_08)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean489.1
Minimum187
Maximum785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:47.476454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum187
5-th percentile215
Q1357.75
median509.5
Q3624
95-th percentile760.2
Maximum785
Range598
Interquartile range (IQR)266.25

Descriptive statistics

Standard deviation175.79246
Coefficient of variation (CV)0.35942029
Kurtosis-1.0276424
Mean489.1
Median Absolute Deviation (MAD)139.5
Skewness-0.11258172
Sum14673
Variance30902.99
MonotonicityNot monotonic
2023-12-10T23:59:48.333526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
673 2
 
6.7%
380 1
 
3.3%
747 1
 
3.3%
360 1
 
3.3%
187 1
 
3.3%
677 1
 
3.3%
602 1
 
3.3%
352 1
 
3.3%
629 1
 
3.3%
241 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
187 1
3.3%
197 1
3.3%
237 1
3.3%
241 1
3.3%
270 1
3.3%
283 1
3.3%
352 1
3.3%
357 1
3.3%
360 1
3.3%
380 1
3.3%
ValueCountFrequency (%)
785 1
3.3%
771 1
3.3%
747 1
3.3%
677 1
3.3%
673 2
6.7%
632 1
3.3%
629 1
3.3%
609 1
3.3%
604 1
3.3%
602 1
3.3%
Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.966667
Minimum13
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:48.610036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20.9
Q133.25
median43.5
Q352.25
95-th percentile81.7
Maximum97
Range84
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.227285
Coefficient of variation (CV)0.42758974
Kurtosis1.1056974
Mean44.966667
Median Absolute Deviation (MAD)10
Skewness0.93307622
Sum1349
Variance369.68851
MonotonicityNot monotonic
2023-12-10T23:59:48.845880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
29 2
 
6.7%
46 2
 
6.7%
39 2
 
6.7%
44 2
 
6.7%
97 1
 
3.3%
40 1
 
3.3%
43 1
 
3.3%
58 1
 
3.3%
23 1
 
3.3%
50 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
13 1
3.3%
20 1
3.3%
22 1
3.3%
23 1
3.3%
25 1
3.3%
29 2
6.7%
33 1
3.3%
34 1
3.3%
37 1
3.3%
39 2
6.7%
ValueCountFrequency (%)
97 1
3.3%
88 1
3.3%
74 1
3.3%
71 1
3.3%
61 1
3.3%
58 1
3.3%
55 1
3.3%
53 1
3.3%
50 1
3.3%
48 1
3.3%

가구/인테리어(C01)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1181.1333
Minimum482
Maximum2035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:49.081449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum482
5-th percentile537.9
Q1845
median1188.5
Q31398.5
95-th percentile1906.55
Maximum2035
Range1553
Interquartile range (IQR)553.5

Descriptive statistics

Standard deviation429.41466
Coefficient of variation (CV)0.36356154
Kurtosis-0.55163111
Mean1181.1333
Median Absolute Deviation (MAD)322
Skewness0.36008094
Sum35434
Variance184396.95
MonotonicityNot monotonic
2023-12-10T23:59:49.337967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
726 1
 
3.3%
1857 1
 
3.3%
483 1
 
3.3%
832 1
 
3.3%
1176 1
 
3.3%
1214 1
 
3.3%
1622 1
 
3.3%
1238 1
 
3.3%
1135 1
 
3.3%
884 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
482 1
3.3%
483 1
3.3%
605 1
3.3%
713 1
3.3%
726 1
3.3%
761 1
3.3%
806 1
3.3%
832 1
3.3%
884 1
3.3%
998 1
3.3%
ValueCountFrequency (%)
2035 1
3.3%
1943 1
3.3%
1862 1
3.3%
1857 1
3.3%
1782 1
3.3%
1622 1
3.3%
1528 1
3.3%
1440 1
3.3%
1274 1
3.3%
1243 1
3.3%

도서/음반(C02)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1601.4333
Minimum817
Maximum2822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:49.587289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum817
5-th percentile869.15
Q11243.75
median1585.5
Q31946.25
95-th percentile2411.5
Maximum2822
Range2005
Interquartile range (IQR)702.5

Descriptive statistics

Standard deviation508.98551
Coefficient of variation (CV)0.31783122
Kurtosis-0.34571861
Mean1601.4333
Median Absolute Deviation (MAD)364.5
Skewness0.39737666
Sum48043
Variance259066.25
MonotonicityNot monotonic
2023-12-10T23:59:50.072041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2434 1
 
3.3%
2159 1
 
3.3%
1379 1
 
3.3%
817 1
 
3.3%
2822 1
 
3.3%
2384 1
 
3.3%
1395 1
 
3.3%
1279 1
 
3.3%
1471 1
 
3.3%
1851 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
817 1
3.3%
866 1
3.3%
873 1
3.3%
921 1
3.3%
1099 1
3.3%
1143 1
3.3%
1176 1
3.3%
1236 1
3.3%
1267 1
3.3%
1268 1
3.3%
ValueCountFrequency (%)
2822 1
3.3%
2434 1
3.3%
2384 1
3.3%
2159 1
3.3%
2153 1
3.3%
2081 1
3.3%
1978 1
3.3%
1965 1
3.3%
1890 1
3.3%
1851 1
3.3%

디지털/가전(C03)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2255.5333
Minimum1018
Maximum4116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:50.428921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1018
5-th percentile1190.25
Q11583
median2217
Q32727.5
95-th percentile3411.25
Maximum4116
Range3098
Interquartile range (IQR)1144.5

Descriptive statistics

Standard deviation774.46977
Coefficient of variation (CV)0.34336437
Kurtosis-0.42879251
Mean2255.5333
Median Absolute Deviation (MAD)620
Skewness0.4211794
Sum67666
Variance599803.43
MonotonicityNot monotonic
2023-12-10T23:59:50.722595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2651 2
 
6.7%
1818 1
 
3.3%
3108 1
 
3.3%
2241 1
 
3.3%
2053 1
 
3.3%
3193 1
 
3.3%
3463 1
 
3.3%
1625 1
 
3.3%
2753 1
 
3.3%
1458 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
1018 1
3.3%
1152 1
3.3%
1237 1
3.3%
1441 1
3.3%
1454 1
3.3%
1458 1
3.3%
1546 1
3.3%
1569 1
3.3%
1625 1
3.3%
1818 1
3.3%
ValueCountFrequency (%)
4116 1
3.3%
3463 1
3.3%
3348 1
3.3%
3193 1
3.3%
3108 1
3.3%
3097 1
3.3%
3013 1
3.3%
2753 1
3.3%
2651 2
6.7%
2647 1
3.3%

생활건강(C04)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4837.6
Minimum2031
Maximum7340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:51.088975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2031
5-th percentile2169.6
Q13531.25
median4998
Q36002.25
95-th percentile7078.25
Maximum7340
Range5309
Interquartile range (IQR)2471

Descriptive statistics

Standard deviation1564.4338
Coefficient of variation (CV)0.32339048
Kurtosis-0.88187461
Mean4837.6
Median Absolute Deviation (MAD)1308
Skewness-0.28412598
Sum145128
Variance2447453.1
MonotonicityNot monotonic
2023-12-10T23:59:51.971517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4501 1
 
3.3%
3445 1
 
3.3%
3745 1
 
3.3%
6036 1
 
3.3%
5142 1
 
3.3%
4070 1
 
3.3%
4937 1
 
3.3%
5901 1
 
3.3%
6581 1
 
3.3%
2174 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2031 1
3.3%
2166 1
3.3%
2174 1
3.3%
2385 1
3.3%
3124 1
3.3%
3353 1
3.3%
3445 1
3.3%
3460 1
3.3%
3745 1
3.3%
4070 1
3.3%
ValueCountFrequency (%)
7340 1
3.3%
7175 1
3.3%
6960 1
3.3%
6581 1
3.3%
6526 1
3.3%
6513 1
3.3%
6361 1
3.3%
6036 1
3.3%
5901 1
3.3%
5765 1
3.3%

스포츠/레저(C05)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.23333
Minimum96
Maximum545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:52.659873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96
5-th percentile112.6
Q1157.5
median315.5
Q3367.75
95-th percentile501.15
Maximum545
Range449
Interquartile range (IQR)210.25

Descriptive statistics

Standard deviation127.9692
Coefficient of variation (CV)0.43940437
Kurtosis-0.84290553
Mean291.23333
Median Absolute Deviation (MAD)88.5
Skewness0.098510994
Sum8737
Variance16376.116
MonotonicityNot monotonic
2023-12-10T23:59:53.408647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
315 1
 
3.3%
463 1
 
3.3%
361 1
 
3.3%
373 1
 
3.3%
393 1
 
3.3%
293 1
 
3.3%
472 1
 
3.3%
216 1
 
3.3%
316 1
 
3.3%
545 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
96 1
3.3%
100 1
3.3%
128 1
3.3%
131 1
3.3%
136 1
3.3%
144 1
3.3%
145 1
3.3%
157 1
3.3%
159 1
3.3%
214 1
3.3%
ValueCountFrequency (%)
545 1
3.3%
525 1
3.3%
472 1
3.3%
463 1
3.3%
393 1
3.3%
377 1
3.3%
373 1
3.3%
369 1
3.3%
364 1
3.3%
361 1
3.3%

식품(C06)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6744.2667
Minimum3149
Maximum10909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:53.860595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3149
5-th percentile3562.8
Q15361.25
median6433.5
Q38338.25
95-th percentile10337.75
Maximum10909
Range7760
Interquartile range (IQR)2977

Descriptive statistics

Standard deviation2311.6653
Coefficient of variation (CV)0.34276007
Kurtosis-0.9880918
Mean6744.2667
Median Absolute Deviation (MAD)1717.5
Skewness0.21479951
Sum202328
Variance5343796.6
MonotonicityNot monotonic
2023-12-10T23:59:54.355242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3480 1
 
3.3%
10385 1
 
3.3%
3149 1
 
3.3%
5623 1
 
3.3%
6491 1
 
3.3%
5274 1
 
3.3%
7699 1
 
3.3%
3807 1
 
3.3%
6175 1
 
3.3%
10909 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3149 1
3.3%
3480 1
3.3%
3664 1
3.3%
3777 1
3.3%
3807 1
3.3%
3815 1
3.3%
4658 1
3.3%
5274 1
3.3%
5623 1
3.3%
5632 1
3.3%
ValueCountFrequency (%)
10909 1
3.3%
10385 1
3.3%
10280 1
3.3%
10058 1
3.3%
9822 1
3.3%
9573 1
3.3%
9210 1
3.3%
8420 1
3.3%
8093 1
3.3%
7699 1
3.3%

출산/육아(C07)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.23333
Minimum13
Maximum275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:54.693376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20.25
Q150.5
median128.5
Q3167.5
95-th percentile271.1
Maximum275
Range262
Interquartile range (IQR)117

Descriptive statistics

Standard deviation83.633306
Coefficient of variation (CV)0.66252949
Kurtosis-0.91974182
Mean126.23333
Median Absolute Deviation (MAD)71
Skewness0.40082732
Sum3787
Variance6994.5299
MonotonicityNot monotonic
2023-12-10T23:59:54.966575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
157 2
 
6.7%
76 1
 
3.3%
146 1
 
3.3%
215 1
 
3.3%
152 1
 
3.3%
97 1
 
3.3%
26 1
 
3.3%
143 1
 
3.3%
263 1
 
3.3%
98 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
13 1
3.3%
18 1
3.3%
23 1
3.3%
24 1
3.3%
26 1
3.3%
39 1
3.3%
44 1
3.3%
50 1
3.3%
52 1
3.3%
76 1
3.3%
ValueCountFrequency (%)
275 1
3.3%
272 1
3.3%
270 1
3.3%
263 1
3.3%
241 1
3.3%
215 1
3.3%
194 1
3.3%
171 1
3.3%
157 2
6.7%
152 1
3.3%

패션의류(C08)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5523.6667
Minimum2064
Maximum10387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:55.355502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2064
5-th percentile2802.2
Q13605.25
median5309.5
Q37011.25
95-th percentile9623.45
Maximum10387
Range8323
Interquartile range (IQR)3406

Descriptive statistics

Standard deviation2322.1473
Coefficient of variation (CV)0.42039961
Kurtosis-0.68285773
Mean5523.6667
Median Absolute Deviation (MAD)1721.5
Skewness0.58241344
Sum165710
Variance5392368.2
MonotonicityNot monotonic
2023-12-10T23:59:55.687666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3660 1
 
3.3%
4476 1
 
3.3%
3297 1
 
3.3%
5320 1
 
3.3%
4465 1
 
3.3%
6134 1
 
3.3%
6240 1
 
3.3%
6196 1
 
3.3%
5333 1
 
3.3%
6077 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2064 1
3.3%
2516 1
3.3%
3152 1
3.3%
3297 1
3.3%
3368 1
3.3%
3389 1
3.3%
3495 1
3.3%
3587 1
3.3%
3660 1
3.3%
3668 1
3.3%
ValueCountFrequency (%)
10387 1
3.3%
9767 1
3.3%
9448 1
3.3%
9304 1
3.3%
8192 1
3.3%
7770 1
3.3%
7387 1
3.3%
7030 1
3.3%
6955 1
3.3%
6240 1
3.3%

패션잡화(C09)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2417.6667
Minimum648
Maximum4280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:55.985888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum648
5-th percentile957.9
Q11823.75
median2404.5
Q32968.75
95-th percentile3959.85
Maximum4280
Range3632
Interquartile range (IQR)1145

Descriptive statistics

Standard deviation951.13172
Coefficient of variation (CV)0.39340895
Kurtosis-0.54192476
Mean2417.6667
Median Absolute Deviation (MAD)578
Skewness0.098874916
Sum72530
Variance904651.54
MonotonicityNot monotonic
2023-12-10T23:59:56.254340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1973 1
 
3.3%
3446 1
 
3.3%
2462 1
 
3.3%
2626 1
 
3.3%
1832 1
 
3.3%
3611 1
 
3.3%
4280 1
 
3.3%
2051 1
 
3.3%
3879 1
 
3.3%
2262 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
648 1
3.3%
957 1
3.3%
959 1
3.3%
1042 1
3.3%
1336 1
3.3%
1726 1
3.3%
1735 1
3.3%
1821 1
3.3%
1832 1
3.3%
1973 1
3.3%
ValueCountFrequency (%)
4280 1
3.3%
4026 1
3.3%
3879 1
3.3%
3671 1
3.3%
3611 1
3.3%
3446 1
3.3%
3087 1
3.3%
2974 1
3.3%
2953 1
3.3%
2829 1
3.3%

화장품/미용(C10)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2918.0667
Minimum1288
Maximum4854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:56.537358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1288
5-th percentile1323.05
Q11798.5
median2835
Q33854.75
95-th percentile4537.25
Maximum4854
Range3566
Interquartile range (IQR)2056.25

Descriptive statistics

Standard deviation1144.616
Coefficient of variation (CV)0.39225148
Kurtosis-1.3465602
Mean2918.0667
Median Absolute Deviation (MAD)1057.5
Skewness0.020232192
Sum87542
Variance1310145.7
MonotonicityNot monotonic
2023-12-10T23:59:56.841510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1714 1
 
3.3%
1780 1
 
3.3%
2337 1
 
3.3%
4148 1
 
3.3%
2501 1
 
3.3%
2815 1
 
3.3%
1854 1
 
3.3%
3676 1
 
3.3%
2374 1
 
3.3%
1414 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1288 1
3.3%
1310 1
3.3%
1339 1
3.3%
1414 1
3.3%
1465 1
3.3%
1529 1
3.3%
1714 1
3.3%
1780 1
3.3%
1854 1
3.3%
2337 1
3.3%
ValueCountFrequency (%)
4854 1
3.3%
4607 1
3.3%
4452 1
3.3%
4345 1
3.3%
4281 1
3.3%
4168 1
3.3%
4148 1
3.3%
3895 1
3.3%
3734 1
3.3%
3676 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3796.1333
Minimum92
Maximum9417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:57.123427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92
5-th percentile629.45
Q11215.75
median2553.5
Q36926
95-th percentile9197.85
Maximum9417
Range9325
Interquartile range (IQR)5710.25

Descriptive statistics

Standard deviation3203.2642
Coefficient of variation (CV)0.8438229
Kurtosis-1.0501564
Mean3796.1333
Median Absolute Deviation (MAD)1793.5
Skewness0.73997174
Sum113884
Variance10260902
MonotonicityNot monotonic
2023-12-10T23:59:57.370577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
9051 1
 
3.3%
7547 1
 
3.3%
8134 1
 
3.3%
2534 1
 
3.3%
8869 1
 
3.3%
2573 1
 
3.3%
575 1
 
3.3%
2384 1
 
3.3%
4407 1
 
3.3%
1251 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
92 1
3.3%
575 1
3.3%
696 1
3.3%
723 1
3.3%
737 1
3.3%
932 1
3.3%
973 1
3.3%
1204 1
3.3%
1251 1
3.3%
1309 1
3.3%
ValueCountFrequency (%)
9417 1
3.3%
9318 1
3.3%
9051 1
3.3%
8869 1
3.3%
8718 1
3.3%
8134 1
3.3%
8008 1
3.3%
7547 1
3.3%
5063 1
3.3%
4407 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108151.7
Minimum3576
Maximum283092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:57.615854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3576
5-th percentile16242.15
Q126708.75
median72360
Q3223211.25
95-th percentile278898.55
Maximum283092
Range279516
Interquartile range (IQR)196502.5

Descriptive statistics

Standard deviation97382.541
Coefficient of variation (CV)0.90042543
Kurtosis-1.0921865
Mean108151.7
Median Absolute Deviation (MAD)47329.5
Skewness0.77392227
Sum3244551
Variance9.4833593 × 109
MonotonicityNot monotonic
2023-12-10T23:59:57.846864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
57681 1
 
3.3%
217332 1
 
3.3%
228677 1
 
3.3%
17236 1
 
3.3%
75069 1
 
3.3%
69651 1
 
3.3%
276588 1
 
3.3%
78016 1
 
3.3%
249488 1
 
3.3%
225171 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3576 1
3.3%
15429 1
3.3%
17236 1
3.3%
17869 1
3.3%
19404 1
3.3%
24248 1
3.3%
25813 1
3.3%
26125 1
3.3%
28460 1
3.3%
32643 1
3.3%
ValueCountFrequency (%)
283092 1
3.3%
280789 1
3.3%
276588 1
3.3%
249488 1
3.3%
243890 1
3.3%
228677 1
3.3%
227375 1
3.3%
225171 1
3.3%
217332 1
3.3%
102673 1
3.3%

영화_시청채널수(I0003_N_CST)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451.46667
Minimum4
Maximum1116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:58.064950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile81.45
Q1177.5
median347.5
Q3746
95-th percentile1011.8
Maximum1116
Range1112
Interquartile range (IQR)568.5

Descriptive statistics

Standard deviation338.71804
Coefficient of variation (CV)0.75026147
Kurtosis-1.0729228
Mean451.46667
Median Absolute Deviation (MAD)250
Skewness0.56101529
Sum13544
Variance114729.91
MonotonicityNot monotonic
2023-12-10T23:59:58.337024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
104 1
 
3.3%
300 1
 
3.3%
97 1
 
3.3%
890 1
 
3.3%
194 1
 
3.3%
233 1
 
3.3%
172 1
 
3.3%
210 1
 
3.3%
616 1
 
3.3%
331 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
4 1
3.3%
72 1
3.3%
93 1
3.3%
97 1
3.3%
98 1
3.3%
104 1
3.3%
129 1
3.3%
172 1
3.3%
194 1
3.3%
210 1
3.3%
ValueCountFrequency (%)
1116 1
3.3%
1037 1
3.3%
981 1
3.3%
945 1
3.3%
890 1
3.3%
879 1
3.3%
796 1
3.3%
764 1
3.3%
692 1
3.3%
648 1
3.3%

영화_시청시간(I0003_VIEW_TM)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9146.5
Minimum1805
Maximum23165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:58.572154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1805
5-th percentile1906.85
Q13191
median6265
Q311970.5
95-th percentile22842.65
Maximum23165
Range21360
Interquartile range (IQR)8779.5

Descriptive statistics

Standard deviation7349.3622
Coefficient of variation (CV)0.80351634
Kurtosis-0.53397083
Mean9146.5
Median Absolute Deviation (MAD)3909.5
Skewness0.93892664
Sum274395
Variance54013125
MonotonicityNot monotonic
2023-12-10T23:59:58.816446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6144 1
 
3.3%
1925 1
 
3.3%
7314 1
 
3.3%
23105 1
 
3.3%
20656 1
 
3.3%
14666 1
 
3.3%
2063 1
 
3.3%
9974 1
 
3.3%
5970 1
 
3.3%
11993 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1805 1
3.3%
1892 1
3.3%
1925 1
3.3%
2063 1
3.3%
2220 1
3.3%
2491 1
3.3%
3115 1
3.3%
3171 1
3.3%
3251 1
3.3%
3462 1
3.3%
ValueCountFrequency (%)
23165 1
3.3%
23105 1
3.3%
22522 1
3.3%
21421 1
3.3%
21346 1
3.3%
20656 1
3.3%
14666 1
3.3%
11993 1
3.3%
11903 1
3.3%
10889 1
3.3%
Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.3
Minimum1
Maximum279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:59.048672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.7
Q125
median50.5
Q399.5
95-th percentile227.9
Maximum279
Range278
Interquartile range (IQR)74.5

Descriptive statistics

Standard deviation74.007525
Coefficient of variation (CV)0.98283566
Kurtosis1.3135783
Mean75.3
Median Absolute Deviation (MAD)31
Skewness1.417404
Sum2259
Variance5477.1138
MonotonicityNot monotonic
2023-12-10T23:59:59.327997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 2
 
6.7%
28 2
 
6.7%
102 1
 
3.3%
245 1
 
3.3%
32 1
 
3.3%
21 1
 
3.3%
24 1
 
3.3%
61 1
 
3.3%
106 1
 
3.3%
279 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
1 2
6.7%
7 1
3.3%
10 1
3.3%
13 1
3.3%
19 1
3.3%
21 1
3.3%
24 1
3.3%
28 2
6.7%
31 1
3.3%
32 1
3.3%
ValueCountFrequency (%)
279 1
3.3%
245 1
3.3%
207 1
3.3%
198 1
3.3%
152 1
3.3%
134 1
3.3%
106 1
3.3%
102 1
3.3%
92 1
3.3%
81 1
3.3%

뷰티_시청시간(I0004_VIEW_TM)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3201.4
Minimum178
Maximum7099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:59:59.622353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178
5-th percentile235.3
Q11253.5
median2326
Q35564
95-th percentile6699.7
Maximum7099
Range6921
Interquartile range (IQR)4310.5

Descriptive statistics

Standard deviation2359.3488
Coefficient of variation (CV)0.73697406
Kurtosis-1.433699
Mean3201.4
Median Absolute Deviation (MAD)1735.5
Skewness0.33926084
Sum96042
Variance5566526.6
MonotonicityNot monotonic
2023-12-11T00:00:00.250164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5558 1
 
3.3%
3890 1
 
3.3%
390 1
 
3.3%
1497 1
 
3.3%
6670 1
 
3.3%
6558 1
 
3.3%
5566 1
 
3.3%
1036 1
 
3.3%
211 1
 
3.3%
265 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
178 1
3.3%
211 1
3.3%
265 1
3.3%
390 1
3.3%
620 1
3.3%
1036 1
3.3%
1132 1
3.3%
1177 1
3.3%
1483 1
3.3%
1497 1
3.3%
ValueCountFrequency (%)
7099 1
3.3%
6724 1
3.3%
6670 1
3.3%
6558 1
3.3%
6421 1
3.3%
6110 1
3.3%
5843 1
3.3%
5566 1
3.3%
5558 1
3.3%
4762 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean882.9
Minimum6
Maximum2789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:00.694672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile32.45
Q1372.25
median688.5
Q3928
95-th percentile2588.6
Maximum2789
Range2783
Interquartile range (IQR)555.75

Descriptive statistics

Standard deviation798.84176
Coefficient of variation (CV)0.90479303
Kurtosis0.78281953
Mean882.9
Median Absolute Deviation (MAD)314
Skewness1.3232113
Sum26487
Variance638148.16
MonotonicityNot monotonic
2023-12-11T00:00:01.153955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2648 1
 
3.3%
2516 1
 
3.3%
1547 1
 
3.3%
699 1
 
3.3%
723 1
 
3.3%
605 1
 
3.3%
379 1
 
3.3%
390 1
 
3.3%
225 1
 
3.3%
2462 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
6 1
3.3%
14 1
3.3%
55 1
3.3%
180 1
3.3%
225 1
3.3%
341 1
3.3%
353 1
3.3%
370 1
3.3%
379 1
3.3%
390 1
3.3%
ValueCountFrequency (%)
2789 1
3.3%
2648 1
3.3%
2516 1
3.3%
2462 1
3.3%
1740 1
3.3%
1547 1
3.3%
1355 1
3.3%
955 1
3.3%
847 1
3.3%
832 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22247.667
Minimum143
Maximum68431
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:01.672033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143
5-th percentile2114.9
Q18196.75
median15441
Q329522.25
95-th percentile60672.65
Maximum68431
Range68288
Interquartile range (IQR)21325.5

Descriptive statistics

Standard deviation18806.263
Coefficient of variation (CV)0.84531397
Kurtosis0.5113
Mean22247.667
Median Absolute Deviation (MAD)8743.5
Skewness1.1726747
Sum667430
Variance3.5367554 × 108
MonotonicityNot monotonic
2023-12-11T00:00:02.267467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
25433 1
 
3.3%
22281 1
 
3.3%
19990 1
 
3.3%
7783 1
 
3.3%
26052 1
 
3.3%
10450 1
 
3.3%
18074 1
 
3.3%
15183 1
 
3.3%
30679 1
 
3.3%
7405 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
143 1
3.3%
728 1
3.3%
3810 1
3.3%
5133 1
3.3%
5990 1
3.3%
7405 1
3.3%
7679 1
3.3%
7783 1
3.3%
9438 1
3.3%
10450 1
3.3%
ValueCountFrequency (%)
68431 1
3.3%
64661 1
3.3%
55798 1
3.3%
52827 1
3.3%
47449 1
3.3%
38975 1
3.3%
31379 1
3.3%
30679 1
3.3%
26052 1
3.3%
25433 1
3.3%

스포츠_시청채널수(I0006_N_CST)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11683.267
Minimum74
Maximum28446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:02.540975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile972.5
Q14478.5
median9361.5
Q318878
95-th percentile27496.25
Maximum28446
Range28372
Interquartile range (IQR)14399.5

Descriptive statistics

Standard deviation9041.4091
Coefficient of variation (CV)0.77387681
Kurtosis-1.0758419
Mean11683.267
Median Absolute Deviation (MAD)6786
Skewness0.54750065
Sum350498
Variance81747079
MonotonicityNot monotonic
2023-12-11T00:00:02.846293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2858 1
 
3.3%
28446 1
 
3.3%
9461 1
 
3.3%
17097 1
 
3.3%
74 1
 
3.3%
3559 1
 
3.3%
24245 1
 
3.3%
7004 1
 
3.3%
5438 1
 
3.3%
284 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
74 1
3.3%
284 1
3.3%
1814 1
3.3%
2517 1
3.3%
2634 1
3.3%
2858 1
3.3%
3559 1
3.3%
4328 1
3.3%
4930 1
3.3%
5257 1
3.3%
ValueCountFrequency (%)
28446 1
3.3%
27593 1
3.3%
27378 1
3.3%
24245 1
3.3%
23508 1
3.3%
23276 1
3.3%
19994 1
3.3%
19050 1
3.3%
18362 1
3.3%
17097 1
3.3%

스포츠_시청시간(I0006_VIEW_TM)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean275167.9
Minimum1514
Maximum830462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:03.643414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1514
5-th percentile3143.95
Q188254.5
median190436.5
Q3448949.5
95-th percentile704817.95
Maximum830462
Range828948
Interquartile range (IQR)360695

Descriptive statistics

Standard deviation243703.13
Coefficient of variation (CV)0.88565246
Kurtosis-0.49091299
Mean275167.9
Median Absolute Deviation (MAD)124719.5
Skewness0.84057062
Sum8255037
Variance5.9391215 × 1010
MonotonicityNot monotonic
2023-12-11T00:00:04.022627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
619306 1
 
3.3%
731228 1
 
3.3%
155884 1
 
3.3%
251537 1
 
3.3%
1514 1
 
3.3%
264567 1
 
3.3%
10737 1
 
3.3%
2680 1
 
3.3%
107807 1
 
3.3%
81737 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1514 1
3.3%
2680 1
3.3%
3711 1
3.3%
10737 1
3.3%
58839 1
3.3%
60303 1
3.3%
71131 1
3.3%
81737 1
3.3%
107807 1
3.3%
108787 1
3.3%
ValueCountFrequency (%)
830462 1
3.3%
731228 1
3.3%
672539 1
3.3%
619306 1
3.3%
593010 1
3.3%
573776 1
3.3%
571150 1
3.3%
481706 1
3.3%
350680 1
3.3%
303255 1
3.3%

먹방_시청채널수(I0007_N_CST)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6341.2
Minimum83
Maximum16428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:04.359771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile946.4
Q11737.5
median3690.5
Q313150.5
95-th percentile14561.8
Maximum16428
Range16345
Interquartile range (IQR)11413

Descriptive statistics

Standard deviation5448.6666
Coefficient of variation (CV)0.8592485
Kurtosis-1.2492518
Mean6341.2
Median Absolute Deviation (MAD)2205
Skewness0.68611211
Sum190236
Variance29687968
MonotonicityNot monotonic
2023-12-11T00:00:04.814383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4363 1
 
3.3%
1514 1
 
3.3%
3686 1
 
3.3%
6717 1
 
3.3%
13220 1
 
3.3%
3407 1
 
3.3%
1696 1
 
3.3%
3695 1
 
3.3%
1611 1
 
3.3%
14587 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
83 1
3.3%
932 1
3.3%
964 1
3.3%
1457 1
3.3%
1514 1
3.3%
1611 1
3.3%
1671 1
3.3%
1696 1
3.3%
1862 1
3.3%
2141 1
3.3%
ValueCountFrequency (%)
16428 1
3.3%
14587 1
3.3%
14531 1
3.3%
14115 1
3.3%
14084 1
3.3%
13756 1
3.3%
13391 1
3.3%
13220 1
3.3%
12942 1
3.3%
6814 1
3.3%

먹방_시청시간(I0007_VIEW_TM)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127613.13
Minimum1908
Maximum395096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:05.117187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1908
5-th percentile14794.2
Q135358.5
median88650.5
Q3157015
95-th percentile368009.25
Maximum395096
Range393188
Interquartile range (IQR)121656.5

Descriptive statistics

Standard deviation121519.36
Coefficient of variation (CV)0.95224808
Kurtosis0.051417176
Mean127613.13
Median Absolute Deviation (MAD)56483.5
Skewness1.1830515
Sum3828394
Variance1.4766955 × 1010
MonotonicityNot monotonic
2023-12-11T00:00:05.443805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
34325 1
 
3.3%
155893 1
 
3.3%
28494 1
 
3.3%
28300 1
 
3.3%
31270 1
 
3.3%
157389 1
 
3.3%
33064 1
 
3.3%
346034 1
 
3.3%
96051 1
 
3.3%
65268 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1908 1
3.3%
3744 1
3.3%
28300 1
3.3%
28494 1
3.3%
30013 1
3.3%
31270 1
3.3%
33064 1
3.3%
34325 1
3.3%
38459 1
3.3%
45740 1
3.3%
ValueCountFrequency (%)
395096 1
3.3%
385989 1
3.3%
346034 1
3.3%
334617 1
3.3%
330388 1
3.3%
297415 1
3.3%
192441 1
3.3%
157389 1
3.3%
155893 1
3.3%
110981 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1247.9333
Minimum25
Maximum5667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:05.791389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile199.5
Q1447
median743.5
Q31287.25
95-th percentile3692.95
Maximum5667
Range5642
Interquartile range (IQR)840.25

Descriptive statistics

Standard deviation1299.6665
Coefficient of variation (CV)1.0414551
Kurtosis4.0026609
Mean1247.9333
Median Absolute Deviation (MAD)361
Skewness1.9956876
Sum37438
Variance1689133
MonotonicityNot monotonic
2023-12-11T00:00:06.084740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
363 1
 
3.3%
723 1
 
3.3%
25 1
 
3.3%
5667 1
 
3.3%
599 1
 
3.3%
857 1
 
3.3%
1219 1
 
3.3%
432 1
 
3.3%
2851 1
 
3.3%
2669 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
25 1
3.3%
195 1
3.3%
205 1
3.3%
340 1
3.3%
363 1
3.3%
414 1
3.3%
432 1
3.3%
435 1
3.3%
483 1
3.3%
545 1
3.3%
ValueCountFrequency (%)
5667 1
3.3%
4237 1
3.3%
3028 1
3.3%
2851 1
3.3%
2669 1
3.3%
2574 1
3.3%
1568 1
3.3%
1310 1
3.3%
1219 1
3.3%
1148 1
3.3%
Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31456.567
Minimum713
Maximum147589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:06.369851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum713
5-th percentile2701.85
Q110159.75
median19447
Q349621.75
95-th percentile66935.6
Maximum147589
Range146876
Interquartile range (IQR)39462

Descriptive statistics

Standard deviation30764.607
Coefficient of variation (CV)0.97800269
Kurtosis5.7772996
Mean31456.567
Median Absolute Deviation (MAD)13895
Skewness2.0156364
Sum943697
Variance9.4646103 × 108
MonotonicityNot monotonic
2023-12-11T00:00:06.627373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
19447 2
 
6.7%
65345 1
 
3.3%
13879 1
 
3.3%
14460 1
 
3.3%
19642 1
 
3.3%
39546 1
 
3.3%
14148 1
 
3.3%
5063 1
 
3.3%
9577 1
 
3.3%
51794 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
713 1
3.3%
770 1
3.3%
5063 1
3.3%
5775 1
3.3%
7673 1
3.3%
9367 1
3.3%
9577 1
3.3%
10119 1
3.3%
10282 1
3.3%
13879 1
3.3%
ValueCountFrequency (%)
147589 1
3.3%
68237 1
3.3%
65345 1
3.3%
64755 1
3.3%
62023 1
3.3%
59941 1
3.3%
51794 1
3.3%
51031 1
3.3%
45394 1
3.3%
39546 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1684.3333
Minimum202
Maximum4929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:06.948834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202
5-th percentile270.55
Q1611.25
median1165.5
Q32483.75
95-th percentile4413.75
Maximum4929
Range4727
Interquartile range (IQR)1872.5

Descriptive statistics

Standard deviation1447.377
Coefficient of variation (CV)0.85931746
Kurtosis-0.31155337
Mean1684.3333
Median Absolute Deviation (MAD)650
Skewness1.0101425
Sum50530
Variance2094900.3
MonotonicityNot monotonic
2023-12-11T00:00:07.237563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3744 1
 
3.3%
413 1
 
3.3%
1705 1
 
3.3%
346 1
 
3.3%
1161 1
 
3.3%
548 1
 
3.3%
202 1
 
3.3%
4334 1
 
3.3%
654 1
 
3.3%
718 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
202 1
3.3%
244 1
3.3%
303 1
3.3%
346 1
3.3%
413 1
3.3%
548 1
3.3%
570 1
3.3%
597 1
3.3%
654 1
3.3%
658 1
3.3%
ValueCountFrequency (%)
4929 1
3.3%
4479 1
3.3%
4334 1
3.3%
4044 1
3.3%
3744 1
3.3%
3472 1
3.3%
3069 1
3.3%
2649 1
3.3%
1988 1
3.3%
1848 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32319.733
Minimum636
Maximum108771
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:07.530804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum636
5-th percentile5853.15
Q112147.25
median21869.5
Q351373.25
95-th percentile84016.4
Maximum108771
Range108135
Interquartile range (IQR)39226

Descriptive statistics

Standard deviation27161.425
Coefficient of variation (CV)0.84039756
Kurtosis0.92154314
Mean32319.733
Median Absolute Deviation (MAD)12918.5
Skewness1.1947408
Sum969592
Variance7.3774302 × 108
MonotonicityNot monotonic
2023-12-11T00:00:07.824944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
12147 1
 
3.3%
79590 1
 
3.3%
12148 1
 
3.3%
5934 1
 
3.3%
8388 1
 
3.3%
21985 1
 
3.3%
7221 1
 
3.3%
21366 1
 
3.3%
5787 1
 
3.3%
13233 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
636 1
3.3%
5787 1
3.3%
5934 1
3.3%
7221 1
3.3%
8388 1
3.3%
10050 1
3.3%
10545 1
3.3%
12147 1
3.3%
12148 1
3.3%
13233 1
3.3%
ValueCountFrequency (%)
108771 1
3.3%
87638 1
3.3%
79590 1
3.3%
65608 1
3.3%
55208 1
3.3%
54981 1
3.3%
54713 1
3.3%
52692 1
3.3%
47417 1
3.3%
42187 1
3.3%

키즈_시청채널수(I0010_N_CST)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18404.733
Minimum230
Maximum36933
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:08.118209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum230
5-th percentile598.1
Q18013
median11859
Q331505.25
95-th percentile35502.55
Maximum36933
Range36703
Interquartile range (IQR)23492.25

Descriptive statistics

Standard deviation13397.521
Coefficient of variation (CV)0.72793886
Kurtosis-1.7989259
Mean18404.733
Median Absolute Deviation (MAD)11230
Skewness0.10485094
Sum552142
Variance1.7949356 × 108
MonotonicityNot monotonic
2023-12-11T00:00:08.437322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
8295 1
 
3.3%
4839 1
 
3.3%
8638 1
 
3.3%
230 1
 
3.3%
33014 1
 
3.3%
31419 1
 
3.3%
11830 1
 
3.3%
32583 1
 
3.3%
9919 1
 
3.3%
8827 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
230 1
3.3%
320 1
3.3%
938 1
3.3%
1652 1
3.3%
4839 1
3.3%
6020 1
3.3%
6599 1
3.3%
7919 1
3.3%
8295 1
3.3%
8387 1
3.3%
ValueCountFrequency (%)
36933 1
3.3%
35953 1
3.3%
34952 1
3.3%
34385 1
3.3%
33666 1
3.3%
33014 1
3.3%
32583 1
3.3%
31534 1
3.3%
31419 1
3.3%
31349 1
3.3%

키즈_시청시간(I0010_VIEW_TM)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153334.27
Minimum1351
Maximum435099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:08.733008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1351
5-th percentile32901.6
Q187501.75
median111640
Q3152034.75
95-th percentile362747.25
Maximum435099
Range433748
Interquartile range (IQR)64533

Descriptive statistics

Standard deviation115485.23
Coefficient of variation (CV)0.75315996
Kurtosis0.13935454
Mean153334.27
Median Absolute Deviation (MAD)34096.5
Skewness1.1207632
Sum4600028
Variance1.3336838 × 1010
MonotonicityNot monotonic
2023-12-11T00:00:09.017486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
143030 1
 
3.3%
80779 1
 
3.3%
128894 1
 
3.3%
36712 1
 
3.3%
105019 1
 
3.3%
89970 1
 
3.3%
86679 1
 
3.3%
435099 1
 
3.3%
148443 1
 
3.3%
289210 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1351 1
3.3%
29784 1
3.3%
36712 1
3.3%
43371 1
3.3%
54824 1
3.3%
60852 1
3.3%
80779 1
3.3%
86679 1
3.3%
89970 1
3.3%
98493 1
3.3%
ValueCountFrequency (%)
435099 1
3.3%
370188 1
3.3%
353653 1
3.3%
348376 1
3.3%
329012 1
3.3%
289966 1
3.3%
289210 1
3.3%
153232 1
3.3%
148443 1
3.3%
143030 1
3.3%

홈쇼핑_시청채널수(I0011_N_CST)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5652.6667
Minimum132
Maximum18509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:09.306800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum132
5-th percentile595.45
Q1987
median4224.5
Q38979.75
95-th percentile14593.95
Maximum18509
Range18377
Interquartile range (IQR)7992.75

Descriptive statistics

Standard deviation5187.1145
Coefficient of variation (CV)0.91764025
Kurtosis-0.13496143
Mean5652.6667
Median Absolute Deviation (MAD)3461
Skewness0.92904329
Sum169580
Variance26906157
MonotonicityNot monotonic
2023-12-11T00:00:09.606340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4452 1
 
3.3%
3997 1
 
3.3%
2929 1
 
3.3%
5254 1
 
3.3%
1305 1
 
3.3%
15021 1
 
3.3%
680 1
 
3.3%
1960 1
 
3.3%
14072 1
 
3.3%
7728 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
132 1
3.3%
550 1
3.3%
651 1
3.3%
680 1
3.3%
694 1
3.3%
806 1
3.3%
846 1
3.3%
881 1
3.3%
1305 1
3.3%
1749 1
3.3%
ValueCountFrequency (%)
18509 1
3.3%
15021 1
3.3%
14072 1
3.3%
13706 1
3.3%
13323 1
3.3%
10368 1
3.3%
9680 1
3.3%
9301 1
3.3%
8016 1
3.3%
7728 1
3.3%

홈쇼핑_시청시간(I0011_VIEW_TM)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74634.233
Minimum378
Maximum274455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:09.903330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum378
5-th percentile9945.8
Q127952.25
median62270.5
Q390616.25
95-th percentile182923.55
Maximum274455
Range274077
Interquartile range (IQR)62664

Descriptive statistics

Standard deviation62407.998
Coefficient of variation (CV)0.83618463
Kurtosis2.5251563
Mean74634.233
Median Absolute Deviation (MAD)32841.5
Skewness1.501326
Sum2239027
Variance3.8947583 × 109
MonotonicityNot monotonic
2023-12-11T00:00:10.276903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
26914 1
 
3.3%
16608 1
 
3.3%
77657 1
 
3.3%
42773 1
 
3.3%
161220 1
 
3.3%
77284 1
 
3.3%
91489 1
 
3.3%
31067 1
 
3.3%
24166 1
 
3.3%
200681 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
378 1
3.3%
7496 1
3.3%
12940 1
3.3%
16608 1
3.3%
19697 1
3.3%
24166 1
3.3%
26140 1
3.3%
26914 1
3.3%
31067 1
3.3%
42773 1
3.3%
ValueCountFrequency (%)
274455 1
3.3%
200681 1
3.3%
161220 1
3.3%
157811 1
3.3%
148179 1
3.3%
124152 1
3.3%
96750 1
3.3%
91489 1
3.3%
87998 1
3.3%
83331 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0876045 × 1010
Minimum5.0414094 × 109
Maximum7.9342012 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:10.604878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.0414094 × 109
5-th percentile1.6854595 × 1010
Q12.4411918 × 1010
median3.5727341 × 1010
Q35.9082162 × 1010
95-th percentile7.5960072 × 1010
Maximum7.9342012 × 1010
Range7.4300603 × 1010
Interquartile range (IQR)3.4670244 × 1010

Descriptive statistics

Standard deviation2.1283609 × 1010
Coefficient of variation (CV)0.52068659
Kurtosis-1.0879663
Mean4.0876045 × 1010
Median Absolute Deviation (MAD)1.3429221 × 1010
Skewness0.42757129
Sum1.2262814 × 1012
Variance4.5299199 × 1020
MonotonicityNot monotonic
2023-12-11T00:00:10.926172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
24263032400.0 1
 
3.3%
79342012228.0 1
 
3.3%
66798648823.0 1
 
3.3%
69203853158.8469 1
 
3.3%
24858575306.0 1
 
3.3%
28159415540.0071 1
 
3.3%
21949978760.0 1
 
3.3%
64533504537.9204 1
 
3.3%
31228418005.0668 1
 
3.3%
59132398475.0 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
5041409392.8398 1
3.3%
16096941969.5549 1
3.3%
17780615568.8536 1
3.3%
17799674359.9469 1
3.3%
21949978760.0 1
3.3%
22646262617.0 1
3.3%
24088976710.4837 1
3.3%
24263032400.0 1
3.3%
24858575306.0 1
3.3%
25959442906.0 1
3.3%
ValueCountFrequency (%)
79342012228.0 1
3.3%
76146043032.0 1
3.3%
75732773536.0 1
3.3%
70765177109.0 1
3.3%
69203853158.8469 1
3.3%
66798648823.0 1
3.3%
64533504537.9204 1
3.3%
59132398475.0 1
3.3%
58931453585.0 1
3.3%
50533645949.034 1
3.3%

총수신평잔_건수(DEP_TOT_AVJN_N)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9064.0667
Minimum1229
Maximum16834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:11.330195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1229
5-th percentile1240.7
Q14854
median9336
Q311431.5
95-th percentile16703.35
Maximum16834
Range15605
Interquartile range (IQR)6577.5

Descriptive statistics

Standard deviation5016.4808
Coefficient of variation (CV)0.55344703
Kurtosis-1.0831504
Mean9064.0667
Median Absolute Deviation (MAD)4387
Skewness0.15237273
Sum271922
Variance25165079
MonotonicityNot monotonic
2023-12-11T00:00:11.608343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5654 1
 
3.3%
5518 1
 
3.3%
11397 1
 
3.3%
3797 1
 
3.3%
11126 1
 
3.3%
16683 1
 
3.3%
1244 1
 
3.3%
16598 1
 
3.3%
4797 1
 
3.3%
1229 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1229 1
3.3%
1238 1
3.3%
1244 1
3.3%
3797 1
3.3%
4141 1
3.3%
4726 1
3.3%
4797 1
3.3%
4844 1
3.3%
4884 1
3.3%
5518 1
3.3%
ValueCountFrequency (%)
16834 1
3.3%
16720 1
3.3%
16683 1
3.3%
16598 1
3.3%
16292 1
3.3%
16021 1
3.3%
13658 1
3.3%
11443 1
3.3%
11397 1
3.3%
11185 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1461.7667
Minimum85
Maximum2915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:11.893003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile184.8
Q1962.5
median1418.5
Q31920.5
95-th percentile2576.65
Maximum2915
Range2830
Interquartile range (IQR)958

Descriptive statistics

Standard deviation770.87132
Coefficient of variation (CV)0.52735593
Kurtosis-0.72049549
Mean1461.7667
Median Absolute Deviation (MAD)492.5
Skewness0.042381464
Sum43853
Variance594242.6
MonotonicityNot monotonic
2023-12-11T00:00:12.204494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
848 1
 
3.3%
1420 1
 
3.3%
297 1
 
3.3%
1399 1
 
3.3%
567 1
 
3.3%
566 1
 
3.3%
1678 1
 
3.3%
955 1
 
3.3%
1862 1
 
3.3%
1387 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
85 1
3.3%
93 1
3.3%
297 1
3.3%
566 1
3.3%
567 1
3.3%
827 1
3.3%
848 1
3.3%
955 1
3.3%
985 1
3.3%
1020 1
3.3%
ValueCountFrequency (%)
2915 1
3.3%
2623 1
3.3%
2520 1
3.3%
2486 1
3.3%
2426 1
3.3%
2425 1
3.3%
2344 1
3.3%
1940 1
3.3%
1862 1
3.3%
1828 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.319086 × 109
Minimum74569627
Maximum7.9837088 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:12.547698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74569627
5-th percentile1.0577195 × 109
Q11.9455994 × 109
median2.8344505 × 109
Q34.3133605 × 109
95-th percentile7.14591 × 109
Maximum7.9837088 × 109
Range7.9091391 × 109
Interquartile range (IQR)2.3677611 × 109

Descriptive statistics

Standard deviation1.9312552 × 109
Coefficient of variation (CV)0.58186357
Kurtosis0.37600369
Mean3.319086 × 109
Median Absolute Deviation (MAD)1.190263 × 109
Skewness0.79712991
Sum9.9572579 × 1010
Variance3.7297467 × 1018
MonotonicityNot monotonic
2023-12-11T00:00:12.871447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6365104881.0 1
 
3.3%
4220665555.0 1
 
3.3%
2338606063.0 1
 
3.3%
1885961367.989 1
 
3.3%
74569627.0006 1
 
3.3%
3923678231.0 1
 
3.3%
1656818431.9767 1
 
3.3%
2288325952.091 1
 
3.3%
3657452344.0 1
 
3.3%
1753308328.0 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
74569627.0006 1
3.3%
971262155.007 1
3.3%
1163389490.0129 1
3.3%
1310632026.01 1
3.3%
1631556562.0073 1
3.3%
1656818431.9767 1
3.3%
1753308328.0 1
3.3%
1885961367.989 1
3.3%
2124513341.0 1
3.3%
2170687785.95 1
3.3%
ValueCountFrequency (%)
7983708775.0 1
3.3%
7784750578.0 1
3.3%
6365104881.0 1
3.3%
5689967144.877 1
3.3%
4899243061.9956 1
3.3%
4850144539.1188 1
3.3%
4399967049.0 1
3.3%
4324600142.092 1
3.3%
4279641425.0 1
3.3%
4220665555.0 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4023.7333
Minimum376
Maximum7780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:13.180824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum376
5-th percentile1171.45
Q12928.75
median3712
Q35052.25
95-th percentile7539.45
Maximum7780
Range7404
Interquartile range (IQR)2123.5

Descriptive statistics

Standard deviation1858.6176
Coefficient of variation (CV)0.46191371
Kurtosis-0.014503891
Mean4023.7333
Median Absolute Deviation (MAD)1207.5
Skewness0.22749386
Sum120712
Variance3454459.4
MonotonicityNot monotonic
2023-12-11T00:00:13.464278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3004 1
 
3.3%
376 1
 
3.3%
2906 1
 
3.3%
3211 1
 
3.3%
5710 1
 
3.3%
3990 1
 
3.3%
5648 1
 
3.3%
3125 1
 
3.3%
7773 1
 
3.3%
3469 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
376 1
3.3%
397 1
3.3%
2118 1
3.3%
2360 1
3.3%
2473 1
3.3%
2589 1
3.3%
2643 1
3.3%
2906 1
3.3%
2997 1
3.3%
3004 1
3.3%
ValueCountFrequency (%)
7780 1
3.3%
7773 1
3.3%
7254 1
3.3%
6075 1
3.3%
5710 1
3.3%
5648 1
3.3%
5123 1
3.3%
5055 1
3.3%
5044 1
3.3%
5017 1
3.3%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6830371 × 109
Minimum5.3186455 × 108
Maximum1.3173349 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-11T00:00:13.750297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3186455 × 108
5-th percentile6.1708658 × 108
Q14.0177789 × 109
median7.0921485 × 109
Q39.4728238 × 109
95-th percentile1.1782941 × 1010
Maximum1.3173349 × 1010
Range1.2641485 × 1010
Interquartile range (IQR)5.4550449 × 109

Descriptive statistics

Standard deviation3.5659793 × 109
Coefficient of variation (CV)0.53358664
Kurtosis-0.95359261
Mean6.6830371 × 109
Median Absolute Deviation (MAD)3.0369991 × 109
Skewness-0.068897148
Sum2.0049111 × 1011
Variance1.2716209 × 1019
MonotonicityNot monotonic
2023-12-11T00:00:14.094409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
11467694098.9656 1
 
3.3%
13173349207.0 1
 
3.3%
5119273187.0 1
 
3.3%
7491474765.0 1
 
3.3%
3193197737.0 1
 
3.3%
4132230535.0 1
 
3.3%
4720807855.965 1
 
3.3%
531864550.0022 1
 
3.3%
9193215662.0 1
 
3.3%
8738310004.9041 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
531864550.0022 1
3.3%
571455757.9889 1
3.3%
672857579.0047 1
3.3%
2713767293.0314 1
3.3%
3193197737.0 1
3.3%
3248218014.0442 1
3.3%
3921205594.0 1
3.3%
3980408457.9331 1
3.3%
4129890346.0558 1
3.3%
4132230535.0 1
3.3%
ValueCountFrequency (%)
13173349207.0 1
3.3%
12040870530.7242 1
3.3%
11467694098.9656 1
3.3%
10820396179.9677 1
3.3%
10731196005.19 1
3.3%
10428889968.0 1
3.3%
10272509401.0 1
3.3%
9566026487.0 1
3.3%
9193215662.0 1
3.3%
8738310004.9041 1
3.3%

Sample

기준년월(BASE_YYMM)상권코드(TRDAR_NO)DIY자재/DIY용품(C01_01)가구/인테리어기타(C01_02)거실가구(C01_03)서재/사무용가구(C01_04)솜류(C01_05)수납가구(C01_06)수예(C01_07)아동/주니어가구(C01_08)아동가구/주니어가구(C01_09)아로마/캔들용품(C01_10)아웃도어가구(C01_11)이미용가구(C01_12)인테리어소품(C01_13)주방가구(C01_14)침실가구(C01_15)침실제품(C01_16)카페트/러그(C01_17)커튼/블라인드(C01_18)홈데코(C01_19)도서/음반(C02_01)게임기/타이틀(C03_01)계절가전(C03_02)광학기기/광학용품(C03_03)네트워크장비(C03_04)디지털/가전기타(C03_05)멀티미디어장비(C03_06)생활가전(C03_07)영상가전(C03_08)음향가전(C03_09)이미용가전(C03_10)자동차기기(C03_11)저장장치(C03_12)주방가전(C03_13)카메라/캠코더(C03_14)컴퓨터(C03_15)태블릿PC액세서리(C03_16)학습기기(C03_17)휴대폰(C03_18)건강관리/건강측정(C04_01)건강용품(C04_02)공구(C04_03)관상어용품(C04_04)구강위생용품(C04_05)눈건강용품(C04_06)목욕용품(C04_07)문구/사무용품(C04_08)생활건강기타(C04_09)생활용품(C04_10)수납/정리용품(C04_11)수집품(C04_12)악기(C04_13)애완(C04_14)완구(C04_15)욕실용품(C04_16)유아생활용품(C04_17)유아위생용품(C04_18)의료용품(C04_19)자동차용품(C04_20)정원/원예용품(C04_21)주방용품(C04_22)청소용품(C04_23)검도(C05_01)골프(C05_02)권투(C05_03)낚시(C05_04)농구(C05_05)등산(C05_06)무술(C05_07)배구(C05_08)배드민턴(C05_09)볼링(C05_10)수영(C05_11)스테이트/보드/롤러(C05_12)스쿼시(C05_13)스키/스노우보드(C05_14)스킨스쿠버(C05_15)스포츠레저기타(C05_16)스포츠액세서리(C05_17)야구(C05_18)오토바이/스쿠터(C05_19)요가/필라테스(C05_20)인라인스케이트(C05_21)자전거(C05_22)족구(C05_23)축구(C05_24)캠핑(C05_25)탁구(C05_26)테니스(C05_27)헬스(C05_28)가공식품(C06_01)건강식품(C06_02)과자/간식(C06_03)과자/간식/음료(C06_04)농산물(C06_05)반찬(C06_06)수산물(C06_07)식품기타(C06_08)신선식품(C06_09)음료(C06_10)축산(C06_11)기저귀(C07_01)분유/이유식(C07_02)수유용품(C07_03)유모차/보행기/유아발육용품(C07_04)유아안전용품(C07_05)유아위생용품(C07_06)유아잡화(C07_07)임산부용품(C07_08)출산/육아기타(C07_09)언더웨어/잠옷(C08_01)의류(C08_02)패션의류기타(C08_03)가방/지갑(C09_01)선글라스/안경(C09_02)시계(C09_03)신발(C09_04)액세서리(C09_05)주얼리(C09_06)패션소품(C09_07)패션잡화기타(C09_08)헤어액세서리(C09_09)기초화장품(C10_01)네일메이크업(C10_02)바디용품(C10_03)뷰티소품(C10_04)색조화장품(C10_05)유아화장품(C10_06)향수(C10_07)헤어용품(C10_08)화장품/미용기타(C10_09)가구/인테리어(C01)도서/음반(C02)디지털/가전(C03)생활건강(C04)스포츠/레저(C05)식품(C06)출산/육아(C07)패션의류(C08)패션잡화(C09)화장품/미용(C10)홈스토리_시청채널수(I0001_N_CST)홈스토리_시청시간(I0001_VIEW_TM)영화_시청채널수(I0003_N_CST)영화_시청시간(I0003_VIEW_TM)뷰티_시청채널수(I0004_N_CST)뷰티_시청시간(I0004_VIEW_TM)생활건강_시청채널수(I0005_N_CST)생활건강_시청시간(I0005_VIEW_TM)스포츠_시청채널수(I0006_N_CST)스포츠_시청시간(I0006_VIEW_TM)먹방_시청채널수(I0007_N_CST)먹방_시청시간(I0007_VIEW_TM)대중음악_시청채널수(I0008_N_CST)대중음악_시청시간I0008_VIEW_TM)육아_예능_시청채널수(I0009_N_CST)육아_예능_시청시간(I0009_VIEW_TM)키즈_시청채널수(I0010_N_CST)키즈_시청시간(I0010_VIEW_TM)홈쇼핑_시청채널수(I0011_N_CST)홈쇼핑_시청시간(I0011_VIEW_TM)총수신평잔_총액(DEP_TOT_AVJN_TOT)총수신평잔_건수(DEP_TOT_AVJN_N)유동성급여_유동성연금_입금_건수(I_PAY_PENS_AMT_N)유동성급여_유동성연금_입금_총액(I_PAY_PENS_AMT_TOT)신용카드_체크카드_현금소비_현금인출_건수(C_TOT_AMT_N)신용카드_체크카드_현금소비_현금인출_총액(C_TOT_AMT_TOT)
02019031*0*6*41266141828120460160190312195167601494782011273251381523054130441652182103473103295339029331314161261257910471481754162401471628216389696400582312101135300875141023021520240342237515270929033203752266001934210506911384122051029596007912970395191016843944524381424363809772624342651450131534807636601973171490515768110461441025558264825433285861930643633432536365345374412147829514303044522691424263032400.056548486365104881.0300411467694098.965599
12019051*0*1*41741481618415901050270112631015727612341120241612212628623190226133120342714250034303344538422112452034645014232046538192434815871975560242140196211211132001231301301013045022016970171203740265132500272690601303465226648636470011435370604115015653525211275636109604341005873181856411286376171393523592543871828309279655419264216148084328108787167145740877138791177552083205482496804441275732773536.0123819404399967049.050446620142919.2204
22019011*0*0*4792514432245340260601991181143918711913793320731027615222621654745819274500165495299029647124462918946851136831851438024521651132109665149027515718005233731010402927250721493106819506950707023303391281003877707015054165048117947000365347045026201312185182426876211243729482178021932031358102805070309574345213725813111631717153883231379275931673425754518111568620233472138047919110687174912415258931453585.0587729151163389490.012925899566026487.0
32019071*0*4*1491624281911851040402999352472113710222755817901226671101825916515441671151771005281940374152225331288115118212060167537162106199554549102785445752191023901672288504198331045206617700177801110154133600251880302911210543433758669007872370256900737531641812485383492222035169712377175369662024137992692428194171786964823165198117718076799905830462317737442574770492947417369331287398066411717780615568.853616292935689967144.87745813980408457.9331
42019071*0*8*45620173265141010702553043748018631647316231816420803090441566307534021524657050431317925363681551662641557030234111164153130589971290185811801321300341801961424361757712800651077501860192724002066504031011717234858939800127431806251890900405087022739535664612741176234065132143815392516367114659732807898793251651132341599049301748502141771887415994115986361188860852103681969726341526952.58861672010354899243061.9956264310272509401.0
52019031*0*8*7124962327731908080403816218531229525582226908392151244816311322443271493621121845640459233071275781188742110932816247260151541618544114806161241421301050197026111016411383450225813640205903320175145300141912020220156451905459125007501550323171012851216011328911417713712012153190065261318420272819229742681800826125103734621324488099438251714532214578134813106823777754981315341532326515171476146043032.01067925201631556562.0073725410428889968.0
62019121*0*1*29519403212121480205033834299566599212851233921034235762219293163526011321260400403017939308393424136821159143282133196239353720313835012502115237202614101632103141250215603361225169601096032203395690010572305042173291972127444600902555064116901087534525365726123357611862175320094726287586115733892402445292357639555245261107645579818362290274295939509611483356524427790289471171671324608326160187154.848099484424863996780305.021183921205594.0
72019011*0*6*5100633372965670140130231361496299238977481965114761880382775375833711510171324585670144318334164146862334116260471314062931591844410368701346251031152031580118121410132340472084144406820111033460800192850503309230943464333520048420505191900182545491206486466567339761196514542166144599813529930874168432424389036621421814762278952827118913711129421004793407673447965608359532978455037822646262617.0908310207784750578.050554129890346.0558
82019011*0*0*39371634128268014080256331929552835499417262514199756644200577231504839692494394038624198231531312910191291132614616910514544441024501540230101100001551661639713223318193676132563601675015803461814003740203027030481431019619500677500019013201610434971474671910444944124312682647576536471418073874026285593188527836163712833396785133232764817061375611098130281028214203422516521125859301732685041409392.8398488414342124513341.0483510820396179.967699
92019101*0*8*415972938211057008090113425107931251211606202713522716414181444416733291373901405273150276273202930476190516126123118400271841631671564887313302926480120218033280014360039833562130979024440142028214020033111401031310593372159026100151332405149609213441589333678941174124117351018696037736641383495250437345063154296922252220717817401477426343032556814334617746189015974218730932110695311714817945732477894.702202869515677983708775.032603248218014.0442
기준년월(BASE_YYMM)상권코드(TRDAR_NO)DIY자재/DIY용품(C01_01)가구/인테리어기타(C01_02)거실가구(C01_03)서재/사무용가구(C01_04)솜류(C01_05)수납가구(C01_06)수예(C01_07)아동/주니어가구(C01_08)아동가구/주니어가구(C01_09)아로마/캔들용품(C01_10)아웃도어가구(C01_11)이미용가구(C01_12)인테리어소품(C01_13)주방가구(C01_14)침실가구(C01_15)침실제품(C01_16)카페트/러그(C01_17)커튼/블라인드(C01_18)홈데코(C01_19)도서/음반(C02_01)게임기/타이틀(C03_01)계절가전(C03_02)광학기기/광학용품(C03_03)네트워크장비(C03_04)디지털/가전기타(C03_05)멀티미디어장비(C03_06)생활가전(C03_07)영상가전(C03_08)음향가전(C03_09)이미용가전(C03_10)자동차기기(C03_11)저장장치(C03_12)주방가전(C03_13)카메라/캠코더(C03_14)컴퓨터(C03_15)태블릿PC액세서리(C03_16)학습기기(C03_17)휴대폰(C03_18)건강관리/건강측정(C04_01)건강용품(C04_02)공구(C04_03)관상어용품(C04_04)구강위생용품(C04_05)눈건강용품(C04_06)목욕용품(C04_07)문구/사무용품(C04_08)생활건강기타(C04_09)생활용품(C04_10)수납/정리용품(C04_11)수집품(C04_12)악기(C04_13)애완(C04_14)완구(C04_15)욕실용품(C04_16)유아생활용품(C04_17)유아위생용품(C04_18)의료용품(C04_19)자동차용품(C04_20)정원/원예용품(C04_21)주방용품(C04_22)청소용품(C04_23)검도(C05_01)골프(C05_02)권투(C05_03)낚시(C05_04)농구(C05_05)등산(C05_06)무술(C05_07)배구(C05_08)배드민턴(C05_09)볼링(C05_10)수영(C05_11)스테이트/보드/롤러(C05_12)스쿼시(C05_13)스키/스노우보드(C05_14)스킨스쿠버(C05_15)스포츠레저기타(C05_16)스포츠액세서리(C05_17)야구(C05_18)오토바이/스쿠터(C05_19)요가/필라테스(C05_20)인라인스케이트(C05_21)자전거(C05_22)족구(C05_23)축구(C05_24)캠핑(C05_25)탁구(C05_26)테니스(C05_27)헬스(C05_28)가공식품(C06_01)건강식품(C06_02)과자/간식(C06_03)과자/간식/음료(C06_04)농산물(C06_05)반찬(C06_06)수산물(C06_07)식품기타(C06_08)신선식품(C06_09)음료(C06_10)축산(C06_11)기저귀(C07_01)분유/이유식(C07_02)수유용품(C07_03)유모차/보행기/유아발육용품(C07_04)유아안전용품(C07_05)유아위생용품(C07_06)유아잡화(C07_07)임산부용품(C07_08)출산/육아기타(C07_09)언더웨어/잠옷(C08_01)의류(C08_02)패션의류기타(C08_03)가방/지갑(C09_01)선글라스/안경(C09_02)시계(C09_03)신발(C09_04)액세서리(C09_05)주얼리(C09_06)패션소품(C09_07)패션잡화기타(C09_08)헤어액세서리(C09_09)기초화장품(C10_01)네일메이크업(C10_02)바디용품(C10_03)뷰티소품(C10_04)색조화장품(C10_05)유아화장품(C10_06)향수(C10_07)헤어용품(C10_08)화장품/미용기타(C10_09)가구/인테리어(C01)도서/음반(C02)디지털/가전(C03)생활건강(C04)스포츠/레저(C05)식품(C06)출산/육아(C07)패션의류(C08)패션잡화(C09)화장품/미용(C10)홈스토리_시청채널수(I0001_N_CST)홈스토리_시청시간(I0001_VIEW_TM)영화_시청채널수(I0003_N_CST)영화_시청시간(I0003_VIEW_TM)뷰티_시청채널수(I0004_N_CST)뷰티_시청시간(I0004_VIEW_TM)생활건강_시청채널수(I0005_N_CST)생활건강_시청시간(I0005_VIEW_TM)스포츠_시청채널수(I0006_N_CST)스포츠_시청시간(I0006_VIEW_TM)먹방_시청채널수(I0007_N_CST)먹방_시청시간(I0007_VIEW_TM)대중음악_시청채널수(I0008_N_CST)대중음악_시청시간I0008_VIEW_TM)육아_예능_시청채널수(I0009_N_CST)육아_예능_시청시간(I0009_VIEW_TM)키즈_시청채널수(I0010_N_CST)키즈_시청시간(I0010_VIEW_TM)홈쇼핑_시청채널수(I0011_N_CST)홈쇼핑_시청시간(I0011_VIEW_TM)총수신평잔_총액(DEP_TOT_AVJN_TOT)총수신평잔_건수(DEP_TOT_AVJN_N)유동성급여_유동성연금_입금_건수(I_PAY_PENS_AMT_N)유동성급여_유동성연금_입금_총액(I_PAY_PENS_AMT_TOT)신용카드_체크카드_현금소비_현금인출_건수(C_TOT_AMT_N)신용카드_체크카드_현금소비_현금인출_총액(C_TOT_AMT_TOT)
202019031*0*8*423816166515117470507020952023427951411099168107127231791123138462150107569645444630215242174417204118116112710819933313311310138708345310603122602700121220141441210707212383269186919780195701980196153000822220503119127126478256230070824206942020174153182872152511346020120318904116335315998221196955648128893256793981190374148314143162352399511408433038857119447306929557343853701888468333150533645949.0339971365814914850144539.11884888672857579.0047
212019041*0*1*32085223331095403013025827242626017843923271830527541371216052206515748309373513380025120292321442617256287138222213155323416422039876156245773700331950444011125021115113161209619840144401120324526005451370105211786153981456190058028904851780224849475606562964609131528197814583460299740727536681726349212042424847859101776405181862350858839133917278943520727404487638938348376133236156634552353870.2869031683424252170687785.9539557201068811.2196
222019091*0*2*11746313626118430140150129291925174121491429491621151083581152151715602385736123244130701012636718175436412244010140319126228154111157164442112088311115000110913111161212024119214224945128601865018502661072005183900051036495492512225260012555030586212016719537542837316519733884185127532174545109094460772262141412512251713311199327926524627405284817371458765268266951794718132338827289210772820068159132398475.0122913871753308328.034698738310004.9041
232019111*0*9*7879243971292401501702062222145246396206448267915626228024217163562191985782203733830133383301674631761550381053021766411715547160558953702962163100222000633452140140172034362603190901590022402052581007510010100245324172137420500712368040120901641785032051691498241881135147116256581316617598533338792374440724948861659701062112253067954381078071611960512851957765457879919148443140722416631228418005.066799479718623657452344.077739193215662.0
242019061*0*9*5961111112415747207080204352623066129130204915131341316102432254943127483540413710248010016300283319711813421217917527217984241513455068934140092159131111101055302116062744249726872109071103260255207300421950904301546732673825270063242703401360151517520675453893629501238127934635901216380726361962051367623847801621099746110363901518370042680369534603443250634334213663258343509919603106764533504537.920403165989552288325952.0913125531864550.0022
252019011*0*3*213514134121878608060931413285716159144392532617616195537895856351381481203468490299285172046510510501228095377145102538718875267720352633100001300947012102401268572152237515720776018402991125001942005040013192425881224224005113230655105024857442109528188435223162213953193493747276991436240428018545752765881722063245566379180742424510737169633064121914148202722111830866796809148921949978760.0124416781656818431.976756484720807855.965
262019101*0*6*41346292919120306010803392311362311195613061011881120061712611811112963507023596278357015516359222450145118643155401388652948756188723421260116133710222208331681401672093629116961209570132038713300015843080230178463771502344004383400342188092660266252371226360258121423842053407029352742661343611281525736965123314666216558605104503559264567340715738985739546548219853141989970150217728428159415540.007099166835663923678231.039904132230535.0
272019021*0*6*787829404197390210170130282919486391111977441942202281813118239558473548323910256821303942374172473512653692712261731982031810015012088042157123421110141030550150607988126132177214201487013302781132002591101033026907592690362600297270015074021374839169314186967743117628222651514239364919744651832250188697506919420656326670723260527415141322031270599196421161838833014105019130516122024858575306.01112656774569627.000657103193197737.0
282019121*0*1*1213793410973000110110357520214285678209136131612268321712926180206052870701554285030217182282514351166558167433523313042021644388940730356191132001500112198503014280822112113680139401590247979001573290104701372164931246364004391250322760194468456945452512318729832817224160363735623152532026264148253417236890231051149769977831709725153767172830056671944734659342303671252544277369203853158.846893379713991885961367.98932117491474765.0
292019011*0*0*310011521411027307019035213171436219452551191960111822169241201318874645766918132112907846123366668944355296366204378712810414970926681731112110161613014363577114141313322246552094201210184178300616040251107773702103548600969181084496019723739225619418403604448313793108374536131492153297246223378134228677977314139015471999094611558843686284942514460170512148863812889429297765766798648823.0113972972338606063.029065119273187.0