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

Text1
Categorical51
Numeric116

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
검도(C05_01) has constant value ""Constant
배구(C05_08) has constant value ""Constant
인라인스케이트(C05_21) 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
학습기기(C03_17) is highly imbalanced (51.4%)Imbalance
농구(C05_05) is highly imbalanced (73.5%)Imbalance
무술(C05_07) is highly imbalanced (78.9%)Imbalance
스테이트/보드/롤러(C05_12) is highly imbalanced (51.4%)Imbalance
스쿼시(C05_13) is highly imbalanced (64.7%)Imbalance
스포츠액세서리(C05_17) is highly imbalanced (64.7%)Imbalance
오토바이/스쿠터(C05_19) is highly imbalanced (56.1%)Imbalance
족구(C05_23) is highly imbalanced (53.1%)Imbalance
테니스(C05_27) is highly imbalanced (56.1%)Imbalance
임산부용품(C07_08) is highly imbalanced (53.1%)Imbalance
그리드코드(GRID50_ID) has unique valuesUnique
기초화장품(C10_01) has unique valuesUnique
스포츠/레저(C05) has unique valuesUnique
DIY자재/DIY용품(C01_01) has 2 (6.7%) zerosZeros
거실가구(C01_03) has 12 (40.0%) zerosZeros
서재/사무용가구(C01_04) has 12 (40.0%) zerosZeros
솜류(C01_05) has 12 (40.0%) zerosZeros
수납가구(C01_06) has 1 (3.3%) zerosZeros
수예(C01_07) has 3 (10.0%) zerosZeros
인테리어소품(C01_13) has 2 (6.7%) zerosZeros
주방가구(C01_14) has 13 (43.3%) zerosZeros
침실가구(C01_15) has 15 (50.0%) zerosZeros
침실제품(C01_16) has 7 (23.3%) zerosZeros
카페트/러그(C01_17) has 6 (20.0%) zerosZeros
커튼/블라인드(C01_18) has 3 (10.0%) zerosZeros
홈데코(C01_19) has 3 (10.0%) zerosZeros
도서/음반(C02_01) has 2 (6.7%) zerosZeros
게임기/타이틀(C03_01) has 4 (13.3%) zerosZeros
계절가전(C03_02) has 3 (10.0%) zerosZeros
디지털/가전기타(C03_05) has 4 (13.3%) zerosZeros
멀티미디어장비(C03_06) has 12 (40.0%) zerosZeros
생활가전(C03_07) has 1 (3.3%) zerosZeros
영상가전(C03_08) has 7 (23.3%) zerosZeros
음향가전(C03_09) has 3 (10.0%) zerosZeros
이미용가전(C03_10) has 5 (16.7%) zerosZeros
저장장치(C03_12) has 5 (16.7%) zerosZeros
주방가전(C03_13) has 3 (10.0%) zerosZeros
카메라/캠코더(C03_14) has 4 (13.3%) zerosZeros
컴퓨터(C03_15) has 4 (13.3%) zerosZeros
휴대폰(C03_18) has 1 (3.3%) zerosZeros
건강관리/건강측정(C04_01) has 5 (16.7%) zerosZeros
공구(C04_03) has 2 (6.7%) zerosZeros
관상어용품(C04_04) has 6 (20.0%) zerosZeros
구강위생용품(C04_05) has 6 (20.0%) zerosZeros
눈건강용품(C04_06) has 13 (43.3%) zerosZeros
문구/사무용품(C04_08) has 4 (13.3%) zerosZeros
생활건강기타(C04_09) has 7 (23.3%) zerosZeros
생활용품(C04_10) has 2 (6.7%) zerosZeros
수납/정리용품(C04_11) has 7 (23.3%) zerosZeros
수집품(C04_12) has 6 (20.0%) zerosZeros
악기(C04_13) has 5 (16.7%) zerosZeros
애완(C04_14) has 4 (13.3%) zerosZeros
완구(C04_15) has 10 (33.3%) zerosZeros
욕실용품(C04_16) has 3 (10.0%) zerosZeros
의료용품(C04_19) has 4 (13.3%) zerosZeros
자동차용품(C04_20) has 1 (3.3%) zerosZeros
정원/원예용품(C04_21) has 4 (13.3%) zerosZeros
주방용품(C04_22) has 3 (10.0%) zerosZeros
청소용품(C04_23) has 3 (10.0%) zerosZeros
골프(C05_02) has 8 (26.7%) zerosZeros
낚시(C05_04) has 16 (53.3%) zerosZeros
등산(C05_06) has 11 (36.7%) zerosZeros
야구(C05_18) has 19 (63.3%) zerosZeros
축구(C05_24) has 14 (46.7%) zerosZeros
캠핑(C05_25) has 7 (23.3%) zerosZeros
헬스(C05_28) has 3 (10.0%) zerosZeros
가공식품(C06_01) has 4 (13.3%) zerosZeros
건강식품(C06_02) has 3 (10.0%) zerosZeros
과자/간식/음료(C06_04) has 4 (13.3%) zerosZeros
반찬(C06_06) has 3 (10.0%) zerosZeros
식품기타(C06_08) has 1 (3.3%) zerosZeros
기저귀(C07_01) has 22 (73.3%) zerosZeros
분유/이유식(C07_02) has 20 (66.7%) zerosZeros
유아잡화(C07_07) has 14 (46.7%) zerosZeros
출산/육아기타(C07_09) has 13 (43.3%) zerosZeros
언더웨어/잠옷(C08_01) has 3 (10.0%) zerosZeros
의류(C08_02) has 2 (6.7%) zerosZeros
패션의류기타(C08_03) has 2 (6.7%) zerosZeros
가방/지갑(C09_01) has 2 (6.7%) zerosZeros
신발(C09_04) has 2 (6.7%) zerosZeros
액세서리(C09_05) has 4 (13.3%) zerosZeros
패션소품(C09_07) has 3 (10.0%) zerosZeros
패션잡화기타(C09_08) has 4 (13.3%) zerosZeros
기초화장품(C10_01) has 1 (3.3%) zerosZeros
네일메이크업(C10_02) has 7 (23.3%) zerosZeros
바디용품(C10_03) has 1 (3.3%) zerosZeros
뷰티소품(C10_04) has 2 (6.7%) zerosZeros
색조화장품(C10_05) has 1 (3.3%) zerosZeros
유아화장품(C10_06) has 10 (33.3%) zerosZeros
향수(C10_07) has 4 (13.3%) zerosZeros
헤어용품(C10_08) has 2 (6.7%) zerosZeros
화장품/미용기타(C10_09) has 10 (33.3%) zerosZeros
가구/인테리어(C01) has 2 (6.7%) zerosZeros
도서/음반(C02) has 1 (3.3%) zerosZeros
디지털/가전(C03) has 2 (6.7%) zerosZeros
생활건강(C04) has 4 (13.3%) zerosZeros
식품(C06) has 2 (6.7%) zerosZeros
출산/육아(C07) has 2 (6.7%) zerosZeros
패션의류(C08) has 11 (36.7%) zerosZeros
패션잡화(C09) has 2 (6.7%) zerosZeros
화장품/미용(C10) has 2 (6.7%) zerosZeros
홈스토리_시청채널수(I0001_N_CST) has 12 (40.0%) zerosZeros
홈스토리_시청시간(I0001_VIEW_TM) has 18 (60.0%) zerosZeros
영화_시청채널수(I0003_N_CST) has 14 (46.7%) zerosZeros
영화_시청시간(I0003_VIEW_TM) has 17 (56.7%) zerosZeros
뷰티_시청채널수(I0004_N_CST) has 23 (76.7%) zerosZeros
뷰티_시청시간(I0004_VIEW_TM) has 18 (60.0%) zerosZeros
생활건강_시청채널수(I0005_N_CST) has 14 (46.7%) zerosZeros
생활건강_시청시간(I0005_VIEW_TM) has 16 (53.3%) zerosZeros
스포츠_시청채널수(I0006_N_CST) has 18 (60.0%) zerosZeros
스포츠_시청시간(I0006_VIEW_TM) has 17 (56.7%) zerosZeros
먹방_시청채널수(I0007_N_CST) has 16 (53.3%) zerosZeros
먹방_시청시간(I0007_VIEW_TM) has 17 (56.7%) zerosZeros
대중음악_시청채널수(I0008_N_CST) has 18 (60.0%) zerosZeros
대중음악_시청시간I0008_VIEW_TM) has 16 (53.3%) zerosZeros
육아_예능_시청채널수(I0009_N_CST) has 16 (53.3%) zerosZeros
육아_예능_시청시간(I0009_VIEW_TM) has 23 (76.7%) zerosZeros
키즈_시청채널수(I0010_N_CST) has 21 (70.0%) zerosZeros
키즈_시청시간(I0010_VIEW_TM) has 20 (66.7%) zerosZeros
홈쇼핑_시청채널수(I0011_N_CST) has 20 (66.7%) zerosZeros
홈쇼핑_시청시간(I0011_VIEW_TM) has 17 (56.7%) zerosZeros
총수신평잔_총액(DEP_TOT_AVJN_TOT) has 15 (50.0%) zerosZeros
총수신평잔_건수(DEP_TOT_AVJN_N) has 12 (40.0%) zerosZeros
유동성급여_유동성연금_입금_건수(I_PAY_PENS_AMT_N) has 6 (20.0%) zerosZeros
유동성급여_유동성연금_입금_총액(I_PAY_PENS_AMT_TOT) has 6 (20.0%) zerosZeros
신용카드_체크카드_현금소비_현금인출_건수(C_TOT_AMT_N) has 6 (20.0%) zerosZeros
신용카드_체크카드_현금소비_현금인출_총액(C_TOT_AMT_TOT) has 8 (26.7%) zerosZeros

Reproduction

Analysis started2024-04-18 07:36:33.438867
Analysis finished2024-04-18 07:36:34.657152
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-18T16:36:34.772742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters300
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowG*0*0*8*0*
2nd rowG*0*1*5*8*
3rd rowG*0*0*6*0*
4th rowG*0*1*0*6*
5th rowG*0*1*5*9*
ValueCountFrequency (%)
g*0*0*8*0 1
 
3.3%
g*0*1*5*8 1
 
3.3%
g*0*0*5*4 1
 
3.3%
g*0*1*9*6 1
 
3.3%
g*0*1*2*8 1
 
3.3%
g*0*2*6*6 1
 
3.3%
g*0*1*6*9 1
 
3.3%
g*0*0*7*9 1
 
3.3%
g*0*2*2*8 1
 
3.3%
g*0*1*8*9 1
 
3.3%
Other values (20) 20
66.7%
2024-04-18T16:36:35.102350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 150
50.0%
0 45
 
15.0%
G 30
 
10.0%
1 21
 
7.0%
6 13
 
4.3%
8 8
 
2.7%
2 8
 
2.7%
9 6
 
2.0%
5 5
 
1.7%
3 5
 
1.7%
Other values (2) 9
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 150
50.0%
Decimal Number 120
40.0%
Uppercase Letter 30
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
37.5%
1 21
17.5%
6 13
 
10.8%
8 8
 
6.7%
2 8
 
6.7%
9 6
 
5.0%
5 5
 
4.2%
3 5
 
4.2%
4 5
 
4.2%
7 4
 
3.3%
Other Punctuation
ValueCountFrequency (%)
* 150
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 270
90.0%
Latin 30
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 150
55.6%
0 45
 
16.7%
1 21
 
7.8%
6 13
 
4.8%
8 8
 
3.0%
2 8
 
3.0%
9 6
 
2.2%
5 5
 
1.9%
3 5
 
1.9%
4 5
 
1.9%
Latin
ValueCountFrequency (%)
G 30
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 150
50.0%
0 45
 
15.0%
G 30
 
10.0%
1 21
 
7.0%
6 13
 
4.3%
8 8
 
2.7%
2 8
 
2.7%
9 6
 
2.0%
5 5
 
1.7%
3 5
 
1.7%
Other values (2) 9
 
3.0%
Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
1*0*4*6
1*0*3*2
1*0*8*7
1*0*1*3
1*0*1*4
Other values (8)
13 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row1*0*1*1
2nd row1*0*8*7
3rd row1*0*0*4
4th row1*0*1*3
5th row1*0*4*6

Common Values

ValueCountFrequency (%)
1*0*4*6 4
13.3%
1*0*3*2 4
13.3%
1*0*8*7 3
10.0%
1*0*1*3 3
10.0%
1*0*1*4 3
10.0%
1*0*1*1 2
6.7%
1*0*0*4 2
6.7%
1*0*9*7 2
6.7%
1*0*1*2 2
6.7%
1*0*0*3 2
6.7%
Other values (3) 3
10.0%

Length

2024-04-18T16:36:35.239328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1*0*4*6 4
13.3%
1*0*3*2 4
13.3%
1*0*8*7 3
10.0%
1*0*1*3 3
10.0%
1*0*1*4 3
10.0%
1*0*1*1 2
6.7%
1*0*0*4 2
6.7%
1*0*9*7 2
6.7%
1*0*1*2 2
6.7%
1*0*0*3 2
6.7%
Other values (3) 3
10.0%

DIY자재/DIY용품(C01_01)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3
Minimum0
Maximum36
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:35.337862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q14
median7
Q311.5
95-th percentile18.75
Maximum36
Range36
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation7.4052637
Coefficient of variation (CV)0.89220045
Kurtosis5.7551646
Mean8.3
Median Absolute Deviation (MAD)4
Skewness1.9694264
Sum249
Variance54.837931
MonotonicityNot monotonic
2024-04-18T16:36:35.441658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
7 5
16.7%
4 3
10.0%
2 3
10.0%
8 2
 
6.7%
15 2
 
6.7%
10 2
 
6.7%
13 2
 
6.7%
6 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0 2
 
6.7%
1 2
 
6.7%
2 3
10.0%
4 3
10.0%
5 1
 
3.3%
6 2
 
6.7%
7 5
16.7%
8 2
 
6.7%
10 2
 
6.7%
12 1
 
3.3%
ValueCountFrequency (%)
36 1
 
3.3%
21 1
 
3.3%
16 1
 
3.3%
15 2
 
6.7%
13 2
 
6.7%
12 1
 
3.3%
10 2
 
6.7%
8 2
 
6.7%
7 5
16.7%
6 2
 
6.7%
Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
2
 
2
6
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 4
 
13.3%
2 2
 
6.7%
6 1
 
3.3%
3 1
 
3.3%

Length

2024-04-18T16:36:35.562715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:35.661059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 4
 
13.3%
2 2
 
6.7%
6 1
 
3.3%
3 1
 
3.3%

거실가구(C01_03)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8666667
Minimum0
Maximum8
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:35.770411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q33
95-th percentile6.1
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1613108
Coefficient of variation (CV)1.1578451
Kurtosis1.3678272
Mean1.8666667
Median Absolute Deviation (MAD)1.5
Skewness1.2817441
Sum56
Variance4.6712644
MonotonicityNot monotonic
2024-04-18T16:36:35.870589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 12
40.0%
2 6
20.0%
1 3
 
10.0%
4 3
 
10.0%
3 3
 
10.0%
7 1
 
3.3%
8 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 3
 
10.0%
2 6
20.0%
3 3
 
10.0%
4 3
 
10.0%
5 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
8 1
 
3.3%
7 1
 
3.3%
5 1
 
3.3%
4 3
 
10.0%
3 3
 
10.0%
2 6
20.0%
1 3
 
10.0%
0 12
40.0%

서재/사무용가구(C01_04)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5333333
Minimum0
Maximum9
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:35.971702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6.1
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1452969
Coefficient of variation (CV)1.3991067
Kurtosis5.118315
Mean1.5333333
Median Absolute Deviation (MAD)1
Skewness2.1849582
Sum46
Variance4.6022989
MonotonicityNot monotonic
2024-04-18T16:36:36.109052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 12
40.0%
1 7
23.3%
2 6
20.0%
3 2
 
6.7%
9 1
 
3.3%
7 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 7
23.3%
2 6
20.0%
3 2
 
6.7%
5 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
9 1
 
3.3%
7 1
 
3.3%
5 1
 
3.3%
3 2
 
6.7%
2 6
20.0%
1 7
23.3%
0 12
40.0%

솜류(C01_05)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5
Minimum0
Maximum6
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:36.267464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q32
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5920059
Coefficient of variation (CV)1.0613373
Kurtosis0.61746318
Mean1.5
Median Absolute Deviation (MAD)1.5
Skewness0.96143629
Sum45
Variance2.5344828
MonotonicityNot monotonic
2024-04-18T16:36:36.410698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 12
40.0%
2 9
30.0%
1 3
 
10.0%
4 3
 
10.0%
3 2
 
6.7%
6 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 3
 
10.0%
2 9
30.0%
3 2
 
6.7%
4 3
 
10.0%
6 1
 
3.3%
ValueCountFrequency (%)
6 1
 
3.3%
4 3
 
10.0%
3 2
 
6.7%
2 9
30.0%
1 3
 
10.0%
0 12
40.0%

수납가구(C01_06)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5
Minimum0
Maximum33
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:36.568814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12.25
median6
Q311.5
95-th percentile15.65
Maximum33
Range33
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation6.7197598
Coefficient of variation (CV)0.89596798
Kurtosis6.0263754
Mean7.5
Median Absolute Deviation (MAD)4
Skewness1.9779881
Sum225
Variance45.155172
MonotonicityNot monotonic
2024-04-18T16:36:36.738588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 4
13.3%
12 3
10.0%
1 3
10.0%
6 3
10.0%
14 2
 
6.7%
9 2
 
6.7%
3 2
 
6.7%
7 2
 
6.7%
4 2
 
6.7%
0 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
0 1
 
3.3%
1 3
10.0%
2 4
13.3%
3 2
6.7%
4 2
6.7%
5 1
 
3.3%
6 3
10.0%
7 2
6.7%
8 1
 
3.3%
9 2
6.7%
ValueCountFrequency (%)
33 1
 
3.3%
17 1
 
3.3%
14 2
6.7%
13 1
 
3.3%
12 3
10.0%
10 1
 
3.3%
9 2
6.7%
8 1
 
3.3%
7 2
6.7%
6 3
10.0%

수예(C01_07)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.066667
Minimum0
Maximum63
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:36.890578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.5
median7.5
Q315.75
95-th percentile28.3
Maximum63
Range63
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation12.870531
Coefficient of variation (CV)1.1629998
Kurtosis8.4296079
Mean11.066667
Median Absolute Deviation (MAD)5.5
Skewness2.5119423
Sum332
Variance165.65057
MonotonicityNot monotonic
2024-04-18T16:36:37.045545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 3
 
10.0%
0 3
 
10.0%
5 3
 
10.0%
23 2
 
6.7%
1 2
 
6.7%
10 2
 
6.7%
18 2
 
6.7%
4 2
 
6.7%
8 2
 
6.7%
15 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 3
10.0%
1 2
6.7%
2 3
10.0%
4 2
6.7%
5 3
10.0%
6 1
 
3.3%
7 1
 
3.3%
8 2
6.7%
9 1
 
3.3%
10 2
6.7%
ValueCountFrequency (%)
63 1
3.3%
31 1
3.3%
25 1
3.3%
23 2
6.7%
18 2
6.7%
16 1
3.3%
15 1
3.3%
11 1
3.3%
10 2
6.7%
9 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

2024-04-18T16:36:37.169581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:37.260653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
20 
1
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
66.7%
1 6
 
20.0%
2 3
 
10.0%
3 1
 
3.3%

Length

2024-04-18T16:36:37.357440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:37.463539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
66.7%
1 6
 
20.0%
2 3
 
10.0%
3 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

2024-04-18T16:36:37.564528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:37.647262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
20 
2
1
4
 
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 row2

Common Values

ValueCountFrequency (%)
0 20
66.7%
2 5
 
16.7%
1 3
 
10.0%
4 1
 
3.3%
3 1
 
3.3%

Length

2024-04-18T16:36:37.731951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:37.826678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
66.7%
2 5
 
16.7%
1 3
 
10.0%
4 1
 
3.3%
3 1
 
3.3%

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

2024-04-18T16:36:37.937164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:38.021023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

인테리어소품(C01_13)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.9
Minimum0
Maximum80
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:38.107760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q15.5
median19.5
Q327.75
95-th percentile51.8
Maximum80
Range80
Interquartile range (IQR)22.25

Descriptive statistics

Standard deviation18.508805
Coefficient of variation (CV)0.9300907
Kurtosis2.7530952
Mean19.9
Median Absolute Deviation (MAD)12
Skewness1.4375265
Sum597
Variance342.57586
MonotonicityNot monotonic
2024-04-18T16:36:38.224413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 3
 
10.0%
0 2
 
6.7%
9 2
 
6.7%
24 2
 
6.7%
7 2
 
6.7%
21 2
 
6.7%
28 1
 
3.3%
4 1
 
3.3%
18 1
 
3.3%
27 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 2
6.7%
1 1
 
3.3%
2 3
10.0%
4 1
 
3.3%
5 1
 
3.3%
7 2
6.7%
8 1
 
3.3%
9 2
6.7%
16 1
 
3.3%
18 1
 
3.3%
ValueCountFrequency (%)
80 1
3.3%
59 1
3.3%
43 1
3.3%
40 1
3.3%
32 1
3.3%
31 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
25 1
3.3%

주방가구(C01_14)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3333333
Minimum0
Maximum7
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:38.326654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.75
95-th percentile5
Maximum7
Range7
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation1.8257419
Coefficient of variation (CV)1.3693064
Kurtosis2.3901478
Mean1.3333333
Median Absolute Deviation (MAD)1
Skewness1.6890361
Sum40
Variance3.3333333
MonotonicityNot monotonic
2024-04-18T16:36:38.428017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 13
43.3%
1 9
30.0%
3 2
 
6.7%
5 2
 
6.7%
2 2
 
6.7%
7 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 13
43.3%
1 9
30.0%
2 2
 
6.7%
3 2
 
6.7%
4 1
 
3.3%
5 2
 
6.7%
7 1
 
3.3%
ValueCountFrequency (%)
7 1
 
3.3%
5 2
 
6.7%
4 1
 
3.3%
3 2
 
6.7%
2 2
 
6.7%
1 9
30.0%
0 13
43.3%

침실가구(C01_15)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3666667
Minimum0
Maximum6
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:38.521850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q32
95-th percentile4.55
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.731719
Coefficient of variation (CV)1.2671114
Kurtosis0.46376831
Mean1.3666667
Median Absolute Deviation (MAD)0.5
Skewness1.1372783
Sum41
Variance2.9988506
MonotonicityNot monotonic
2024-04-18T16:36:38.613181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 15
50.0%
2 5
 
16.7%
3 3
 
10.0%
1 3
 
10.0%
4 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
0 15
50.0%
1 3
 
10.0%
2 5
 
16.7%
3 3
 
10.0%
4 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
6 1
 
3.3%
5 1
 
3.3%
4 2
 
6.7%
3 3
 
10.0%
2 5
 
16.7%
1 3
 
10.0%
0 15
50.0%

침실제품(C01_16)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.433333
Minimum0
Maximum32
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:38.713937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median13
Q318.75
95-th percentile27.65
Maximum32
Range32
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.5941194
Coefficient of variation (CV)0.8391358
Kurtosis-0.83286967
Mean11.433333
Median Absolute Deviation (MAD)7.5
Skewness0.39670469
Sum343
Variance92.047126
MonotonicityNot monotonic
2024-04-18T16:36:38.811578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 7
23.3%
13 3
10.0%
20 3
10.0%
14 3
10.0%
4 2
 
6.7%
6 2
 
6.7%
16 1
 
3.3%
3 1
 
3.3%
18 1
 
3.3%
26 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
0 7
23.3%
3 1
 
3.3%
4 2
 
6.7%
5 1
 
3.3%
6 2
 
6.7%
10 1
 
3.3%
13 3
10.0%
14 3
10.0%
16 1
 
3.3%
18 1
 
3.3%
ValueCountFrequency (%)
32 1
 
3.3%
29 1
 
3.3%
26 1
 
3.3%
24 1
 
3.3%
20 3
10.0%
19 1
 
3.3%
18 1
 
3.3%
16 1
 
3.3%
14 3
10.0%
13 3
10.0%

카페트/러그(C01_17)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4
Minimum0
Maximum12
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:38.918381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35.75
95-th percentile9.55
Maximum12
Range12
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation3.3794511
Coefficient of variation (CV)0.9939562
Kurtosis0.072397957
Mean3.4
Median Absolute Deviation (MAD)2
Skewness1.0248733
Sum102
Variance11.42069
MonotonicityNot monotonic
2024-04-18T16:36:39.027673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 8
26.7%
0 6
20.0%
1 4
13.3%
5 2
 
6.7%
3 2
 
6.7%
6 2
 
6.7%
8 2
 
6.7%
9 1
 
3.3%
12 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
0 6
20.0%
1 4
13.3%
2 8
26.7%
3 2
 
6.7%
5 2
 
6.7%
6 2
 
6.7%
7 1
 
3.3%
8 2
 
6.7%
9 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
12 1
 
3.3%
10 1
 
3.3%
9 1
 
3.3%
8 2
 
6.7%
7 1
 
3.3%
6 2
 
6.7%
5 2
 
6.7%
3 2
 
6.7%
2 8
26.7%
1 4
13.3%

커튼/블라인드(C01_18)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2666667
Minimum0
Maximum23
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:39.134573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q310.5
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation6.2749273
Coefficient of variation (CV)0.86352211
Kurtosis-0.19963606
Mean7.2666667
Median Absolute Deviation (MAD)4
Skewness0.82810842
Sum218
Variance39.374713
MonotonicityNot monotonic
2024-04-18T16:36:39.243816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
6 5
16.7%
2 5
16.7%
0 3
10.0%
9 3
10.0%
17 3
10.0%
1 2
 
6.7%
11 1
 
3.3%
8 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0 3
10.0%
1 2
 
6.7%
2 5
16.7%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 5
16.7%
8 1
 
3.3%
9 3
10.0%
11 1
 
3.3%
ValueCountFrequency (%)
23 1
 
3.3%
17 3
10.0%
16 1
 
3.3%
15 1
 
3.3%
13 1
 
3.3%
11 1
 
3.3%
9 3
10.0%
8 1
 
3.3%
6 5
16.7%
5 1
 
3.3%

홈데코(C01_19)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8666667
Minimum0
Maximum35
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:39.347084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median4
Q37.5
95-th percentile18.75
Maximum35
Range35
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation7.2954087
Coefficient of variation (CV)1.2435356
Kurtosis8.5171741
Mean5.8666667
Median Absolute Deviation (MAD)3
Skewness2.6708553
Sum176
Variance53.222989
MonotonicityNot monotonic
2024-04-18T16:36:39.473742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 5
16.7%
3 4
13.3%
4 4
13.3%
5 3
10.0%
0 3
10.0%
2 2
 
6.7%
8 2
 
6.7%
9 1
 
3.3%
11 1
 
3.3%
10 1
 
3.3%
Other values (4) 4
13.3%
ValueCountFrequency (%)
0 3
10.0%
1 5
16.7%
2 2
 
6.7%
3 4
13.3%
4 4
13.3%
5 3
10.0%
6 1
 
3.3%
8 2
 
6.7%
9 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
35 1
 
3.3%
21 1
 
3.3%
16 1
 
3.3%
11 1
 
3.3%
10 1
 
3.3%
9 1
 
3.3%
8 2
6.7%
6 1
 
3.3%
5 3
10.0%
4 4
13.3%

도서/음반(C02_01)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.5
Minimum0
Maximum704
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:39.578990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q120.25
median71.5
Q3114.25
95-th percentile225.05
Maximum704
Range704
Interquartile range (IQR)94

Descriptive statistics

Standard deviation130.14654
Coefficient of variation (CV)1.377212
Kurtosis17.238776
Mean94.5
Median Absolute Deviation (MAD)50.5
Skewness3.7692584
Sum2835
Variance16938.121
MonotonicityNot monotonic
2024-04-18T16:36:39.684244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
86 2
 
6.7%
0 2
 
6.7%
82 2
 
6.7%
15 1
 
3.3%
21 1
 
3.3%
40 1
 
3.3%
49 1
 
3.3%
116 1
 
3.3%
208 1
 
3.3%
11 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
3 1
3.3%
4 1
3.3%
11 1
3.3%
15 1
3.3%
20 1
3.3%
21 1
3.3%
40 1
3.3%
49 1
3.3%
ValueCountFrequency (%)
704 1
3.3%
239 1
3.3%
208 1
3.3%
151 1
3.3%
141 1
3.3%
126 1
3.3%
122 1
3.3%
116 1
3.3%
109 1
3.3%
103 1
3.3%

게임기/타이틀(C03_01)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4333333
Minimum0
Maximum18
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:39.784941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q35.75
95-th percentile11.55
Maximum18
Range18
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation4.1744984
Coefficient of variation (CV)0.94161618
Kurtosis2.6107995
Mean4.4333333
Median Absolute Deviation (MAD)3
Skewness1.457374
Sum133
Variance17.426437
MonotonicityNot monotonic
2024-04-18T16:36:39.882413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
5 5
16.7%
1 5
16.7%
0 4
13.3%
4 3
10.0%
2 3
10.0%
7 2
 
6.7%
3 2
 
6.7%
10 1
 
3.3%
11 1
 
3.3%
8 1
 
3.3%
Other values (3) 3
10.0%
ValueCountFrequency (%)
0 4
13.3%
1 5
16.7%
2 3
10.0%
3 2
 
6.7%
4 3
10.0%
5 5
16.7%
6 1
 
3.3%
7 2
 
6.7%
8 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
18 1
 
3.3%
12 1
 
3.3%
11 1
 
3.3%
10 1
 
3.3%
8 1
 
3.3%
7 2
 
6.7%
6 1
 
3.3%
5 5
16.7%
4 3
10.0%
3 2
 
6.7%

계절가전(C03_02)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum0
Maximum85
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:39.986957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11.5
Q323.75
95-th percentile38.15
Maximum85
Range85
Interquartile range (IQR)19.75

Descriptive statistics

Standard deviation17.294607
Coefficient of variation (CV)1.080913
Kurtosis7.9680164
Mean16
Median Absolute Deviation (MAD)10.5
Skewness2.342576
Sum480
Variance299.10345
MonotonicityNot monotonic
2024-04-18T16:36:40.090423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3
 
10.0%
1 3
 
10.0%
4 3
 
10.0%
16 2
 
6.7%
24 2
 
6.7%
9 2
 
6.7%
85 1
 
3.3%
3 1
 
3.3%
28 1
 
3.3%
23 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 3
10.0%
1 3
10.0%
3 1
 
3.3%
4 3
10.0%
7 1
 
3.3%
9 2
6.7%
10 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
16 2
6.7%
ValueCountFrequency (%)
85 1
3.3%
44 1
3.3%
31 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
24 2
6.7%
23 1
3.3%
22 1
3.3%
21 1
3.3%
Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
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 row0

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 5
 
16.7%

Length

2024-04-18T16:36:40.208559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:40.594309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 5
 
16.7%
Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
21 
1
2
13
 
1
6
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
70.0%
1 4
 
13.3%
2 3
 
10.0%
13 1
 
3.3%
6 1
 
3.3%

Length

2024-04-18T16:36:40.687431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:40.783787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
70.0%
1 4
 
13.3%
2 3
 
10.0%
13 1
 
3.3%
6 1
 
3.3%

디지털/가전기타(C03_05)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.1
Minimum0
Maximum81
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:40.875086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.25
median14
Q317.75
95-th percentile41.75
Maximum81
Range81
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation17.040216
Coefficient of variation (CV)1.0583985
Kurtosis6.3968642
Mean16.1
Median Absolute Deviation (MAD)7
Skewness2.2115501
Sum483
Variance290.36897
MonotonicityNot monotonic
2024-04-18T16:36:40.978801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 4
13.3%
7 4
13.3%
16 3
 
10.0%
6 2
 
6.7%
15 2
 
6.7%
14 2
 
6.7%
23 1
 
3.3%
17 1
 
3.3%
39 1
 
3.3%
18 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 4
13.3%
2 1
 
3.3%
3 1
 
3.3%
6 2
6.7%
7 4
13.3%
8 1
 
3.3%
11 1
 
3.3%
14 2
6.7%
15 2
6.7%
16 3
10.0%
ValueCountFrequency (%)
81 1
 
3.3%
44 1
 
3.3%
39 1
 
3.3%
38 1
 
3.3%
34 1
 
3.3%
23 1
 
3.3%
19 1
 
3.3%
18 1
 
3.3%
17 1
 
3.3%
16 3
10.0%

멀티미디어장비(C03_06)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4666667
Minimum0
Maximum14
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:41.075118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5.1
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.7257815
Coefficient of variation (CV)1.8584874
Kurtosis16.027571
Mean1.4666667
Median Absolute Deviation (MAD)1
Skewness3.7275523
Sum44
Variance7.4298851
MonotonicityNot monotonic
2024-04-18T16:36:41.189885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 12
40.0%
1 11
36.7%
2 3
 
10.0%
14 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 11
36.7%
2 3
 
10.0%
3 1
 
3.3%
4 1
 
3.3%
6 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
6 1
 
3.3%
4 1
 
3.3%
3 1
 
3.3%
2 3
 
10.0%
1 11
36.7%
0 12
40.0%

생활가전(C03_07)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.2
Minimum0
Maximum56
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:41.296784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.45
Q15.25
median12.5
Q319
95-th percentile36.75
Maximum56
Range56
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation12.413563
Coefficient of variation (CV)0.87419459
Kurtosis3.4519917
Mean14.2
Median Absolute Deviation (MAD)7
Skewness1.6270342
Sum426
Variance154.09655
MonotonicityNot monotonic
2024-04-18T16:36:41.402779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
14 3
 
10.0%
3 3
 
10.0%
20 2
 
6.7%
19 2
 
6.7%
2 2
 
6.7%
16 2
 
6.7%
8 1
 
3.3%
7 1
 
3.3%
12 1
 
3.3%
13 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 1
 
3.3%
1 1
 
3.3%
2 2
6.7%
3 3
10.0%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
56 1
 
3.3%
39 1
 
3.3%
34 1
 
3.3%
27 1
 
3.3%
23 1
 
3.3%
20 2
6.7%
19 2
6.7%
16 2
6.7%
14 3
10.0%
13 1
 
3.3%

영상가전(C03_08)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2666667
Minimum0
Maximum11
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:41.502013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.5
Q33
95-th percentile7
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5587353
Coefficient of variation (CV)1.1288538
Kurtosis3.7365222
Mean2.2666667
Median Absolute Deviation (MAD)1.5
Skewness1.8250592
Sum68
Variance6.5471264
MonotonicityNot monotonic
2024-04-18T16:36:41.598630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 8
26.7%
0 7
23.3%
2 6
20.0%
3 3
 
10.0%
7 2
 
6.7%
5 2
 
6.7%
11 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 7
23.3%
1 8
26.7%
2 6
20.0%
3 3
 
10.0%
4 1
 
3.3%
5 2
 
6.7%
7 2
 
6.7%
11 1
 
3.3%
ValueCountFrequency (%)
11 1
 
3.3%
7 2
 
6.7%
5 2
 
6.7%
4 1
 
3.3%
3 3
 
10.0%
2 6
20.0%
1 8
26.7%
0 7
23.3%

음향가전(C03_09)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.666667
Minimum0
Maximum100
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:41.700109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median9
Q318.75
95-th percentile42.6
Maximum100
Range100
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation20.585119
Coefficient of variation (CV)1.4035308
Kurtosis9.7001169
Mean14.666667
Median Absolute Deviation (MAD)7
Skewness2.7731613
Sum440
Variance423.74713
MonotonicityNot monotonic
2024-04-18T16:36:41.803523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3 5
16.7%
0 3
10.0%
11 3
10.0%
1 3
10.0%
15 2
 
6.7%
2 2
 
6.7%
20 2
 
6.7%
4 1
 
3.3%
48 1
 
3.3%
30 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 3
10.0%
1 3
10.0%
2 2
 
6.7%
3 5
16.7%
4 1
 
3.3%
8 1
 
3.3%
10 1
 
3.3%
11 3
10.0%
12 1
 
3.3%
15 2
 
6.7%
ValueCountFrequency (%)
100 1
 
3.3%
48 1
 
3.3%
36 1
 
3.3%
35 1
 
3.3%
32 1
 
3.3%
30 1
 
3.3%
20 2
6.7%
15 2
6.7%
12 1
 
3.3%
11 3
10.0%

이미용가전(C03_10)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3666667
Minimum0
Maximum30
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:41.904980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median6
Q311
95-th percentile17
Maximum30
Range30
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation6.7542239
Coefficient of variation (CV)0.91686297
Kurtosis2.9215943
Mean7.3666667
Median Absolute Deviation (MAD)5
Skewness1.3935719
Sum221
Variance45.61954
MonotonicityNot monotonic
2024-04-18T16:36:42.007679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 5
16.7%
5 4
13.3%
8 3
10.0%
17 2
 
6.7%
11 2
 
6.7%
4 2
 
6.7%
1 2
 
6.7%
7 2
 
6.7%
12 2
 
6.7%
30 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0 5
16.7%
1 2
 
6.7%
2 1
 
3.3%
3 1
 
3.3%
4 2
 
6.7%
5 4
13.3%
7 2
 
6.7%
8 3
10.0%
9 1
 
3.3%
11 2
 
6.7%
ValueCountFrequency (%)
30 1
 
3.3%
17 2
6.7%
16 1
 
3.3%
13 1
 
3.3%
12 2
6.7%
11 2
6.7%
9 1
 
3.3%
8 3
10.0%
7 2
6.7%
5 4
13.3%
Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
14 
0
11 
3
2
 
1
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st row1
2nd row2
3rd row3
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 14
46.7%
0 11
36.7%
3 3
 
10.0%
2 1
 
3.3%
6 1
 
3.3%

Length

2024-04-18T16:36:42.124597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:42.215992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 14
46.7%
0 11
36.7%
3 3
 
10.0%
2 1
 
3.3%
6 1
 
3.3%

저장장치(C03_12)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9666667
Minimum0
Maximum15
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:42.325155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median3
Q35
95-th percentile11.1
Maximum15
Range15
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation3.7091065
Coefficient of variation (CV)0.93506887
Kurtosis1.8759562
Mean3.9666667
Median Absolute Deviation (MAD)2
Skewness1.3922381
Sum119
Variance13.757471
MonotonicityNot monotonic
2024-04-18T16:36:42.426190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3 6
20.0%
0 5
16.7%
5 4
13.3%
4 3
10.0%
1 3
10.0%
2 3
10.0%
10 2
 
6.7%
15 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
0 5
16.7%
1 3
10.0%
2 3
10.0%
3 6
20.0%
4 3
10.0%
5 4
13.3%
6 1
 
3.3%
7 1
 
3.3%
10 2
 
6.7%
12 1
 
3.3%
ValueCountFrequency (%)
15 1
 
3.3%
12 1
 
3.3%
10 2
 
6.7%
7 1
 
3.3%
6 1
 
3.3%
5 4
13.3%
4 3
10.0%
3 6
20.0%
2 3
10.0%
1 3
10.0%

주방가전(C03_13)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.766667
Minimum0
Maximum57
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:42.527963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.5
median15
Q328.5
95-th percentile48
Maximum57
Range57
Interquartile range (IQR)23

Descriptive statistics

Standard deviation16.270734
Coefficient of variation (CV)0.86700181
Kurtosis0.01860361
Mean18.766667
Median Absolute Deviation (MAD)12
Skewness0.77892276
Sum563
Variance264.73678
MonotonicityNot monotonic
2024-04-18T16:36:42.625846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 3
 
10.0%
1 3
 
10.0%
7 2
 
6.7%
27 2
 
6.7%
15 2
 
6.7%
37 2
 
6.7%
22 2
 
6.7%
57 2
 
6.7%
13 1
 
3.3%
35 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 3
10.0%
1 3
10.0%
4 1
 
3.3%
5 1
 
3.3%
7 2
6.7%
8 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
13 1
 
3.3%
15 2
6.7%
ValueCountFrequency (%)
57 2
6.7%
37 2
6.7%
36 1
3.3%
35 1
3.3%
34 1
3.3%
29 1
3.3%
27 2
6.7%
24 1
3.3%
22 2
6.7%
21 1
3.3%

카메라/캠코더(C03_14)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.233333
Minimum0
Maximum178
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:42.738573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q38
95-th percentile22.35
Maximum178
Range178
Interquartile range (IQR)6

Descriptive statistics

Standard deviation32.094347
Coefficient of variation (CV)2.8570636
Kurtosis27.597268
Mean11.233333
Median Absolute Deviation (MAD)3
Skewness5.1727133
Sum337
Variance1030.0471
MonotonicityNot monotonic
2024-04-18T16:36:42.847555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 5
16.7%
3 4
13.3%
0 4
13.3%
1 3
10.0%
13 2
 
6.7%
6 2
 
6.7%
11 2
 
6.7%
8 2
 
6.7%
7 1
 
3.3%
5 1
 
3.3%
Other values (4) 4
13.3%
ValueCountFrequency (%)
0 4
13.3%
1 3
10.0%
2 5
16.7%
3 4
13.3%
4 1
 
3.3%
5 1
 
3.3%
6 2
 
6.7%
7 1
 
3.3%
8 2
 
6.7%
11 2
 
6.7%
ValueCountFrequency (%)
178 1
3.3%
30 1
3.3%
13 2
6.7%
12 1
3.3%
11 2
6.7%
8 2
6.7%
7 1
3.3%
6 2
6.7%
5 1
3.3%
4 1
3.3%

컴퓨터(C03_15)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64
Minimum0
Maximum1086
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:42.970442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.5
median21
Q343.5
95-th percentile123.2
Maximum1086
Range1086
Interquartile range (IQR)35

Descriptive statistics

Standard deviation195.77573
Coefficient of variation (CV)3.0589958
Kurtosis28.172681
Mean64
Median Absolute Deviation (MAD)19
Skewness5.2469724
Sum1920
Variance38328.138
MonotonicityNot monotonic
2024-04-18T16:36:43.079630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 4
 
13.3%
41 2
 
6.7%
44 2
 
6.7%
15 2
 
6.7%
1086 1
 
3.3%
20 1
 
3.3%
66 1
 
3.3%
6 1
 
3.3%
30 1
 
3.3%
42 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 4
13.3%
3 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
13 1
 
3.3%
15 2
6.7%
16 1
 
3.3%
ValueCountFrequency (%)
1086 1
3.3%
170 1
3.3%
66 1
3.3%
53 1
3.3%
52 1
3.3%
51 1
3.3%
44 2
6.7%
42 1
3.3%
41 2
6.7%
33 1
3.3%
Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
16 
2
1
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 16
53.3%
2 6
 
20.0%
1 5
 
16.7%
3 2
 
6.7%
4 1
 
3.3%

Length

2024-04-18T16:36:43.193166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:43.315099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
53.3%
2 6
 
20.0%
1 5
 
16.7%
3 2
 
6.7%
4 1
 
3.3%

학습기기(C03_17)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row0
2nd row0
3rd row3
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 4
 
13.3%
3 1
 
3.3%

Length

2024-04-18T16:36:43.437525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:43.531353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 4
 
13.3%
3 1
 
3.3%

휴대폰(C03_18)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.533333
Minimum0
Maximum241
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:43.628694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112.25
median22.5
Q341
95-th percentile131.2
Maximum241
Range241
Interquartile range (IQR)28.75

Descriptive statistics

Standard deviation51.094728
Coefficient of variation (CV)1.2605607
Kurtosis7.6948743
Mean40.533333
Median Absolute Deviation (MAD)11.5
Skewness2.5938831
Sum1216
Variance2610.6713
MonotonicityNot monotonic
2024-04-18T16:36:43.741878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13 2
 
6.7%
5 2
 
6.7%
23 2
 
6.7%
12 2
 
6.7%
21 2
 
6.7%
241 1
 
3.3%
9 1
 
3.3%
28 1
 
3.3%
71 1
 
3.3%
19 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 1
3.3%
5 2
6.7%
8 1
3.3%
9 1
3.3%
10 1
3.3%
12 2
6.7%
13 2
6.7%
16 1
3.3%
19 1
3.3%
21 2
6.7%
ValueCountFrequency (%)
241 1
3.3%
133 1
3.3%
129 1
3.3%
92 1
3.3%
81 1
3.3%
71 1
3.3%
50 1
3.3%
43 1
3.3%
35 1
3.3%
30 1
3.3%

건강관리/건강측정(C04_01)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.466667
Minimum0
Maximum67
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:43.847254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.25
median15.5
Q323
95-th percentile42.5
Maximum67
Range67
Interquartile range (IQR)16.75

Descriptive statistics

Standard deviation15.460145
Coefficient of variation (CV)0.88512282
Kurtosis2.3905128
Mean17.466667
Median Absolute Deviation (MAD)9
Skewness1.2608298
Sum524
Variance239.01609
MonotonicityNot monotonic
2024-04-18T16:36:43.958658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 5
 
16.7%
21 2
 
6.7%
14 2
 
6.7%
23 2
 
6.7%
47 1
 
3.3%
25 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
11 1
 
3.3%
67 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 5
16.7%
1 1
 
3.3%
2 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
13 1
 
3.3%
14 2
 
6.7%
ValueCountFrequency (%)
67 1
3.3%
47 1
3.3%
37 1
3.3%
36 1
3.3%
29 1
3.3%
28 1
3.3%
25 1
3.3%
23 2
6.7%
22 1
3.3%
21 2
6.7%

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

2024-04-18T16:36:44.079754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:44.203822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

공구(C04_03)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.2
Minimum0
Maximum97
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:44.431796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q14
median11.5
Q322.5
95-th percentile72.25
Maximum97
Range97
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation23.664902
Coefficient of variation (CV)1.232547
Kurtosis4.9822643
Mean19.2
Median Absolute Deviation (MAD)9
Skewness2.2200088
Sum576
Variance560.02759
MonotonicityNot monotonic
2024-04-18T16:36:44.686191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2 3
 
10.0%
4 2
 
6.7%
0 2
 
6.7%
14 2
 
6.7%
10 2
 
6.7%
19 1
 
3.3%
88 1
 
3.3%
21 1
 
3.3%
8 1
 
3.3%
16 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 2
6.7%
1 1
 
3.3%
2 3
10.0%
3 1
 
3.3%
4 2
6.7%
7 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
10 2
6.7%
11 1
 
3.3%
ValueCountFrequency (%)
97 1
3.3%
88 1
3.3%
53 1
3.3%
40 1
3.3%
34 1
3.3%
33 1
3.3%
24 1
3.3%
23 1
3.3%
21 1
3.3%
19 1
3.3%

관상어용품(C04_04)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5
Minimum0
Maximum13
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:44.839967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.5
Q34
95-th percentile7
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.8008619
Coefficient of variation (CV)1.1203448
Kurtosis5.8438361
Mean2.5
Median Absolute Deviation (MAD)1.5
Skewness2.0984794
Sum75
Variance7.8448276
MonotonicityNot monotonic
2024-04-18T16:36:44.950331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 9
30.0%
0 6
20.0%
4 5
16.7%
2 4
13.3%
3 2
 
6.7%
7 2
 
6.7%
13 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 6
20.0%
1 9
30.0%
2 4
13.3%
3 2
 
6.7%
4 5
16.7%
5 1
 
3.3%
7 2
 
6.7%
13 1
 
3.3%
ValueCountFrequency (%)
13 1
 
3.3%
7 2
 
6.7%
5 1
 
3.3%
4 5
16.7%
3 2
 
6.7%
2 4
13.3%
1 9
30.0%
0 6
20.0%

구강위생용품(C04_05)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.4
Minimum0
Maximum105
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:45.058287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median8.5
Q324.5
95-th percentile53.4
Maximum105
Range105
Interquartile range (IQR)23

Descriptive statistics

Standard deviation22.343093
Coefficient of variation (CV)1.3623837
Kurtosis8.3446169
Mean16.4
Median Absolute Deviation (MAD)8.5
Skewness2.6164447
Sum492
Variance499.21379
MonotonicityNot monotonic
2024-04-18T16:36:45.170849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 6
20.0%
6 2
 
6.7%
1 2
 
6.7%
3 2
 
6.7%
8 2
 
6.7%
9 2
 
6.7%
105 1
 
3.3%
21 1
 
3.3%
14 1
 
3.3%
18 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 6
20.0%
1 2
 
6.7%
3 2
 
6.7%
5 1
 
3.3%
6 2
 
6.7%
8 2
 
6.7%
9 2
 
6.7%
13 1
 
3.3%
14 1
 
3.3%
18 1
 
3.3%
ValueCountFrequency (%)
105 1
3.3%
66 1
3.3%
38 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
23 1
3.3%
21 1
3.3%

눈건강용품(C04_06)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4
Minimum0
Maximum7
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:45.272642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.55
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8864307
Coefficient of variation (CV)1.3474505
Kurtosis2.3643965
Mean1.4
Median Absolute Deviation (MAD)1
Skewness1.6854062
Sum42
Variance3.5586207
MonotonicityNot monotonic
2024-04-18T16:36:45.399962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 13
43.3%
1 7
23.3%
2 5
 
16.7%
7 1
 
3.3%
5 1
 
3.3%
3 1
 
3.3%
6 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 13
43.3%
1 7
23.3%
2 5
 
16.7%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
7 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
3 1
 
3.3%
2 5
 
16.7%
1 7
23.3%
0 13
43.3%
Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
18 
2
1
7
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 18
60.0%
2 5
 
16.7%
1 5
 
16.7%
7 1
 
3.3%
4 1
 
3.3%

Length

2024-04-18T16:36:45.533116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:45.632227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
60.0%
2 5
 
16.7%
1 5
 
16.7%
7 1
 
3.3%
4 1
 
3.3%

문구/사무용품(C04_08)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.966667
Minimum0
Maximum85
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:45.771727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.25
median14.5
Q328.25
95-th percentile69.1
Maximum85
Range85
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.505912
Coefficient of variation (CV)1.0245484
Kurtosis1.6124791
Mean21.966667
Median Absolute Deviation (MAD)10
Skewness1.4980809
Sum659
Variance506.51609
MonotonicityNot monotonic
2024-04-18T16:36:45.881492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 4
 
13.3%
13 3
 
10.0%
5 2
 
6.7%
16 2
 
6.7%
11 2
 
6.7%
17 1
 
3.3%
23 1
 
3.3%
4 1
 
3.3%
33 1
 
3.3%
22 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 4
13.3%
4 1
 
3.3%
5 2
6.7%
6 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
11 2
6.7%
13 3
10.0%
16 2
6.7%
17 1
 
3.3%
ValueCountFrequency (%)
85 1
3.3%
70 1
3.3%
68 1
3.3%
63 1
3.3%
39 1
3.3%
33 1
3.3%
30 1
3.3%
29 1
3.3%
26 1
3.3%
25 1
3.3%

생활건강기타(C04_09)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.566667
Minimum0
Maximum65
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:45.984120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q313.5
95-th percentile35.85
Maximum65
Range65
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation14.330299
Coefficient of variation (CV)1.3561797
Kurtosis6.5367144
Mean10.566667
Median Absolute Deviation (MAD)5
Skewness2.3478351
Sum317
Variance205.35747
MonotonicityNot monotonic
2024-04-18T16:36:46.085078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 7
23.3%
5 4
13.3%
1 2
 
6.7%
4 2
 
6.7%
6 2
 
6.7%
17 1
 
3.3%
32 1
 
3.3%
11 1
 
3.3%
3 1
 
3.3%
22 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 7
23.3%
1 2
 
6.7%
3 1
 
3.3%
4 2
 
6.7%
5 4
13.3%
6 2
 
6.7%
7 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
65 1
3.3%
39 1
3.3%
32 1
3.3%
24 1
3.3%
22 1
3.3%
19 1
3.3%
17 1
3.3%
14 1
3.3%
12 1
3.3%
11 1
3.3%

생활용품(C04_10)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.866667
Minimum0
Maximum856
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:46.196724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q115.25
median38
Q381.75
95-th percentile135.85
Maximum856
Range856
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation152.81784
Coefficient of variation (CV)2.0142949
Kurtosis25.493023
Mean75.866667
Median Absolute Deviation (MAD)32
Skewness4.8841923
Sum2276
Variance23353.292
MonotonicityNot monotonic
2024-04-18T16:36:46.302006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
44 3
 
10.0%
15 2
 
6.7%
6 2
 
6.7%
0 2
 
6.7%
37 2
 
6.7%
87 1
 
3.3%
14 1
 
3.3%
132 1
 
3.3%
16 1
 
3.3%
83 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
6 2
6.7%
14 1
3.3%
15 2
6.7%
16 1
3.3%
21 1
3.3%
28 1
3.3%
32 1
3.3%
35 1
3.3%
ValueCountFrequency (%)
856 1
3.3%
139 1
3.3%
132 1
3.3%
122 1
3.3%
109 1
3.3%
87 1
3.3%
83 1
3.3%
82 1
3.3%
81 1
3.3%
78 1
3.3%

수납/정리용품(C04_11)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6
Minimum0
Maximum47
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:46.405786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q37.75
95-th percentile18.65
Maximum47
Range47
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation9.2124354
Coefficient of variation (CV)1.3958235
Kurtosis12.722018
Mean6.6
Median Absolute Deviation (MAD)3.5
Skewness3.1773528
Sum198
Variance84.868966
MonotonicityNot monotonic
2024-04-18T16:36:46.506997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 7
23.3%
4 4
13.3%
6 3
10.0%
7 2
 
6.7%
2 2
 
6.7%
11 2
 
6.7%
1 2
 
6.7%
17 1
 
3.3%
9 1
 
3.3%
47 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0 7
23.3%
1 2
 
6.7%
2 2
 
6.7%
3 1
 
3.3%
4 4
13.3%
5 1
 
3.3%
6 3
10.0%
7 2
 
6.7%
8 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
47 1
 
3.3%
20 1
 
3.3%
17 1
 
3.3%
13 1
 
3.3%
11 2
6.7%
9 1
 
3.3%
8 1
 
3.3%
7 2
6.7%
6 3
10.0%
5 1
 
3.3%

수집품(C04_12)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8333333
Minimum0
Maximum35
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:46.615736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median6.5
Q312
95-th percentile33.1
Maximum35
Range35
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation9.7523943
Coefficient of variation (CV)1.1040446
Kurtosis2.3407451
Mean8.8333333
Median Absolute Deviation (MAD)5.5
Skewness1.627064
Sum265
Variance95.109195
MonotonicityNot monotonic
2024-04-18T16:36:46.735413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 6
20.0%
12 3
10.0%
1 2
 
6.7%
11 2
 
6.7%
14 2
 
6.7%
3 2
 
6.7%
8 2
 
6.7%
5 2
 
6.7%
4 1
 
3.3%
15 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 6
20.0%
1 2
 
6.7%
2 1
 
3.3%
3 2
 
6.7%
4 1
 
3.3%
5 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
8 2
 
6.7%
10 1
 
3.3%
ValueCountFrequency (%)
35 1
 
3.3%
34 1
 
3.3%
32 1
 
3.3%
15 1
 
3.3%
14 2
6.7%
12 3
10.0%
11 2
6.7%
10 1
 
3.3%
8 2
6.7%
7 1
 
3.3%

악기(C04_13)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.433333
Minimum0
Maximum29
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:46.844998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.5
median10.5
Q321
95-th percentile28.55
Maximum29
Range29
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation9.9574382
Coefficient of variation (CV)0.80086634
Kurtosis-1.387329
Mean12.433333
Median Absolute Deviation (MAD)9.5
Skewness0.24962387
Sum373
Variance99.150575
MonotonicityNot monotonic
2024-04-18T16:36:46.949346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5
16.7%
29 2
 
6.7%
20 2
 
6.7%
21 2
 
6.7%
6 2
 
6.7%
8 2
 
6.7%
3 2
 
6.7%
11 1
 
3.3%
25 1
 
3.3%
18 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 5
16.7%
1 1
 
3.3%
3 2
 
6.7%
5 1
 
3.3%
6 2
 
6.7%
7 1
 
3.3%
8 2
 
6.7%
10 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
29 2
6.7%
28 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 2
6.7%
20 2
6.7%
18 1
3.3%
13 1
3.3%

애완(C04_14)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.9
Minimum0
Maximum283
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:47.058134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median9.5
Q321
95-th percentile97.4
Maximum283
Range283
Interquartile range (IQR)18

Descriptive statistics

Standard deviation55.625193
Coefficient of variation (CV)2.2339435
Kurtosis17.295006
Mean24.9
Median Absolute Deviation (MAD)8
Skewness4.0352618
Sum747
Variance3094.1621
MonotonicityNot monotonic
2024-04-18T16:36:47.164721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 4
 
13.3%
3 3
 
10.0%
5 2
 
6.7%
23 2
 
6.7%
7 2
 
6.7%
21 2
 
6.7%
1 2
 
6.7%
15 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 4
13.3%
1 2
6.7%
2 1
 
3.3%
3 3
10.0%
5 2
6.7%
7 2
6.7%
9 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
13 1
 
3.3%
ValueCountFrequency (%)
283 1
3.3%
146 1
3.3%
38 1
3.3%
34 1
3.3%
32 1
3.3%
23 2
6.7%
21 2
6.7%
17 1
3.3%
15 1
3.3%
14 1
3.3%

완구(C04_15)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2
Minimum0
Maximum26
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:47.275630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q38
95-th percentile18.55
Maximum26
Range26
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.7333447
Coefficient of variation (CV)1.294874
Kurtosis2.151883
Mean5.2
Median Absolute Deviation (MAD)3
Skewness1.6000481
Sum156
Variance45.337931
MonotonicityNot monotonic
2024-04-18T16:36:47.380955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 10
33.3%
3 6
20.0%
2 3
 
10.0%
8 2
 
6.7%
12 1
 
3.3%
6 1
 
3.3%
18 1
 
3.3%
11 1
 
3.3%
19 1
 
3.3%
26 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 10
33.3%
1 1
 
3.3%
2 3
 
10.0%
3 6
20.0%
6 1
 
3.3%
8 2
 
6.7%
10 1
 
3.3%
11 1
 
3.3%
12 1
 
3.3%
13 1
 
3.3%
ValueCountFrequency (%)
26 1
 
3.3%
19 1
 
3.3%
18 1
 
3.3%
13 1
 
3.3%
12 1
 
3.3%
11 1
 
3.3%
10 1
 
3.3%
8 2
 
6.7%
6 1
 
3.3%
3 6
20.0%

욕실용품(C04_16)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.166667
Minimum0
Maximum49
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:47.883799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8
Q321.5
95-th percentile36.4
Maximum49
Range49
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation12.945731
Coefficient of variation (CV)1.0640327
Kurtosis1.0550509
Mean12.166667
Median Absolute Deviation (MAD)6.5
Skewness1.2992128
Sum365
Variance167.59195
MonotonicityNot monotonic
2024-04-18T16:36:47.991137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
5 3
 
10.0%
1 3
 
10.0%
8 3
 
10.0%
0 3
 
10.0%
4 2
 
6.7%
3 2
 
6.7%
10 2
 
6.7%
24 1
 
3.3%
40 1
 
3.3%
27 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 3
10.0%
1 3
10.0%
2 1
 
3.3%
3 2
6.7%
4 2
6.7%
5 3
10.0%
8 3
10.0%
9 1
 
3.3%
10 2
6.7%
13 1
 
3.3%
ValueCountFrequency (%)
49 1
3.3%
40 1
3.3%
32 1
3.3%
28 1
3.3%
27 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
20 1
3.3%
13 1
3.3%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
1
2
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
80.0%
1 3
 
10.0%
2 2
 
6.7%
5 1
 
3.3%

Length

2024-04-18T16:36:48.100384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:48.188816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
1 3
 
10.0%
2 2
 
6.7%
5 1
 
3.3%
Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
21 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
70.0%
1 8
 
26.7%
2 1
 
3.3%

Length

2024-04-18T16:36:48.286484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:48.375405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
70.0%
1 8
 
26.7%
2 1
 
3.3%

의료용품(C04_19)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0333333
Minimum0
Maximum51
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:48.464189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median5
Q38
95-th percentile41.55
Maximum51
Range51
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation13.013212
Coefficient of variation (CV)1.4405769
Kurtosis4.6701958
Mean9.0333333
Median Absolute Deviation (MAD)3
Skewness2.3301426
Sum271
Variance169.34368
MonotonicityNot monotonic
2024-04-18T16:36:48.582590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3 5
16.7%
0 4
13.3%
8 3
10.0%
5 3
10.0%
2 2
 
6.7%
6 2
 
6.7%
1 2
 
6.7%
41 1
 
3.3%
51 1
 
3.3%
7 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
0 4
13.3%
1 2
 
6.7%
2 2
 
6.7%
3 5
16.7%
4 1
 
3.3%
5 3
10.0%
6 2
 
6.7%
7 1
 
3.3%
8 3
10.0%
9 1
 
3.3%
ValueCountFrequency (%)
51 1
 
3.3%
42 1
 
3.3%
41 1
 
3.3%
23 1
 
3.3%
12 1
 
3.3%
10 1
 
3.3%
9 1
 
3.3%
8 3
10.0%
7 1
 
3.3%
6 2
6.7%

자동차용품(C04_20)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum0
Maximum78
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:48.686024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14.25
median9.5
Q315
95-th percentile24.05
Maximum78
Range78
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation13.957448
Coefficient of variation (CV)1.1165958
Kurtosis17.422398
Mean12.5
Median Absolute Deviation (MAD)5.5
Skewness3.7637902
Sum375
Variance194.81034
MonotonicityNot monotonic
2024-04-18T16:36:48.809947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
15 4
13.3%
9 3
 
10.0%
2 3
 
10.0%
4 3
 
10.0%
8 2
 
6.7%
18 2
 
6.7%
14 2
 
6.7%
7 1
 
3.3%
16 1
 
3.3%
5 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 1
 
3.3%
2 3
10.0%
3 1
 
3.3%
4 3
10.0%
5 1
 
3.3%
7 1
 
3.3%
8 2
6.7%
9 3
10.0%
10 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
78 1
 
3.3%
29 1
 
3.3%
18 2
6.7%
17 1
 
3.3%
16 1
 
3.3%
15 4
13.3%
14 2
6.7%
13 1
 
3.3%
12 1
 
3.3%
10 1
 
3.3%

정원/원예용품(C04_21)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7333333
Minimum0
Maximum19
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:48.911353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3.5
Q37
95-th percentile14.95
Maximum19
Range19
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8418672
Coefficient of variation (CV)1.0229297
Kurtosis3.4019157
Mean4.7333333
Median Absolute Deviation (MAD)2.5
Skewness1.7310622
Sum142
Variance23.443678
MonotonicityNot monotonic
2024-04-18T16:36:49.006379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 6
20.0%
0 4
13.3%
3 4
13.3%
4 3
10.0%
8 3
10.0%
7 3
10.0%
19 2
 
6.7%
6 2
 
6.7%
10 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 4
13.3%
1 6
20.0%
2 1
 
3.3%
3 4
13.3%
4 3
10.0%
5 1
 
3.3%
6 2
 
6.7%
7 3
10.0%
8 3
10.0%
10 1
 
3.3%
ValueCountFrequency (%)
19 2
 
6.7%
10 1
 
3.3%
8 3
10.0%
7 3
10.0%
6 2
 
6.7%
5 1
 
3.3%
4 3
10.0%
3 4
13.3%
2 1
 
3.3%
1 6
20.0%

주방용품(C04_22)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.133333
Minimum0
Maximum284
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:49.119336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.25
median33
Q364
95-th percentile92.4
Maximum284
Range284
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation54.01643
Coefficient of variation (CV)1.2239372
Kurtosis13.389174
Mean44.133333
Median Absolute Deviation (MAD)30
Skewness3.1535446
Sum1324
Variance2917.7747
MonotonicityNot monotonic
2024-04-18T16:36:49.227072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
64 3
 
10.0%
0 3
 
10.0%
3 2
 
6.7%
1 2
 
6.7%
10 2
 
6.7%
26 1
 
3.3%
34 1
 
3.3%
284 1
 
3.3%
105 1
 
3.3%
28 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 3
10.0%
1 2
6.7%
3 2
6.7%
9 1
 
3.3%
10 2
6.7%
19 1
 
3.3%
26 1
 
3.3%
28 1
 
3.3%
30 1
 
3.3%
32 1
 
3.3%
ValueCountFrequency (%)
284 1
 
3.3%
105 1
 
3.3%
77 1
 
3.3%
76 1
 
3.3%
74 1
 
3.3%
68 1
 
3.3%
64 3
10.0%
63 1
 
3.3%
51 1
 
3.3%
47 1
 
3.3%

청소용품(C04_23)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.066667
Minimum0
Maximum111
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:49.328029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median8.5
Q312.75
95-th percentile24.5
Maximum111
Range111
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation19.908296
Coefficient of variation (CV)1.6498587
Kurtosis22.591691
Mean12.066667
Median Absolute Deviation (MAD)4.5
Skewness4.5042393
Sum362
Variance396.34023
MonotonicityNot monotonic
2024-04-18T16:36:49.432655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
9 4
13.3%
2 3
10.0%
0 3
10.0%
13 2
 
6.7%
8 2
 
6.7%
18 2
 
6.7%
4 2
 
6.7%
19 2
 
6.7%
6 2
 
6.7%
11 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 3
10.0%
1 1
 
3.3%
2 3
10.0%
3 1
 
3.3%
4 2
6.7%
6 2
6.7%
7 1
 
3.3%
8 2
6.7%
9 4
13.3%
10 1
 
3.3%
ValueCountFrequency (%)
111 1
 
3.3%
29 1
 
3.3%
19 2
6.7%
18 2
6.7%
13 2
6.7%
12 1
 
3.3%
11 1
 
3.3%
10 1
 
3.3%
9 4
13.3%
8 2
6.7%

검도(C05_01)
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

2024-04-18T16:36:49.554173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:49.658789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

골프(C05_02)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5333333
Minimum0
Maximum16
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:49.736460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median2
Q33
95-th percentile6.55
Maximum16
Range16
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation3.1919439
Coefficient of variation (CV)1.2599778
Kurtosis10.504444
Mean2.5333333
Median Absolute Deviation (MAD)1
Skewness2.7886775
Sum76
Variance10.188506
MonotonicityNot monotonic
2024-04-18T16:36:49.839762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 8
26.7%
3 7
23.3%
1 6
20.0%
2 3
 
10.0%
5 2
 
6.7%
6 1
 
3.3%
16 1
 
3.3%
7 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 8
26.7%
1 6
20.0%
2 3
 
10.0%
3 7
23.3%
4 1
 
3.3%
5 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
16 1
 
3.3%
ValueCountFrequency (%)
16 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
5 2
 
6.7%
4 1
 
3.3%
3 7
23.3%
2 3
 
10.0%
1 6
20.0%
0 8
26.7%

권투(C05_03)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
2
 
2
6
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 4
 
13.3%
2 2
 
6.7%
6 1
 
3.3%
4 1
 
3.3%

Length

2024-04-18T16:36:49.960735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:50.055847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 4
 
13.3%
2 2
 
6.7%
6 1
 
3.3%
4 1
 
3.3%

낚시(C05_04)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2666667
Minimum0
Maximum7
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:50.145501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.55
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1644994
Coefficient of variation (CV)1.7088153
Kurtosis2.3720484
Mean1.2666667
Median Absolute Deviation (MAD)0
Skewness1.9044814
Sum38
Variance4.6850575
MonotonicityNot monotonic
2024-04-18T16:36:50.239584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
53.3%
1 9
30.0%
7 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 9
30.0%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 2
 
6.7%
ValueCountFrequency (%)
7 2
 
6.7%
6 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
1 9
30.0%
0 16
53.3%

농구(C05_05)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
1
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
93.3%
1 1
 
3.3%
2 1
 
3.3%

Length

2024-04-18T16:36:50.351240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:50.442402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 1
 
3.3%
2 1
 
3.3%

등산(C05_06)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5333333
Minimum0
Maximum6
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:50.520400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.75
95-th percentile5.1
Maximum6
Range6
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.7564332
Coefficient of variation (CV)1.1454999
Kurtosis0.89785169
Mean1.5333333
Median Absolute Deviation (MAD)1
Skewness1.2293383
Sum46
Variance3.0850575
MonotonicityNot monotonic
2024-04-18T16:36:50.615854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 11
36.7%
1 8
26.7%
3 4
 
13.3%
2 3
 
10.0%
4 2
 
6.7%
6 2
 
6.7%
ValueCountFrequency (%)
0 11
36.7%
1 8
26.7%
2 3
 
10.0%
3 4
 
13.3%
4 2
 
6.7%
6 2
 
6.7%
ValueCountFrequency (%)
6 2
 
6.7%
4 2
 
6.7%
3 4
 
13.3%
2 3
 
10.0%
1 8
26.7%
0 11
36.7%

무술(C05_07)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
29 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

Length

2024-04-18T16:36:50.720910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:50.809034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

배구(C05_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

2024-04-18T16:36:50.901142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:50.982511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
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 row2
2nd row0
3rd row0
4th row0
5th row1

Common Values

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

Length

2024-04-18T16:36:51.072405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:51.162836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
2 3
 
10.0%
1 3
 
10.0%

볼링(C05_10)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
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 row0

Common Values

ValueCountFrequency (%)
0 26
86.7%
1 4
 
13.3%

Length

2024-04-18T16:36:51.264222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:51.350059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
1 4
 
13.3%

수영(C05_11)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
19 
1
2
 
1
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row0
2nd row0
3rd row2
4th row0
5th row4

Common Values

ValueCountFrequency (%)
0 19
63.3%
1 8
26.7%
2 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%

Length

2024-04-18T16:36:51.439677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:51.532706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
63.3%
1 8
26.7%
2 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%

스테이트/보드/롤러(C05_12)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 4
 
13.3%
2 1
 
3.3%

Length

2024-04-18T16:36:51.629303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:51.726686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 4
 
13.3%
2 1
 
3.3%

스쿼시(C05_13)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
1
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

Length

2024-04-18T16:36:51.837166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:51.925612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
2
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 4
 
13.3%
2 3
 
10.0%
6 1
 
3.3%

Length

2024-04-18T16:36:52.037796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:52.141533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 4
 
13.3%
2 3
 
10.0%
6 1
 
3.3%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
18 
1
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 18
60.0%
1 8
26.7%
2 3
 
10.0%
3 1
 
3.3%

Length

2024-04-18T16:36:52.242700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:52.332890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
60.0%
1 8
26.7%
2 3
 
10.0%
3 1
 
3.3%
Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
23 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
76.7%
1 6
 
20.0%
3 1
 
3.3%

Length

2024-04-18T16:36:52.436134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:52.530329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
76.7%
1 6
 
20.0%
3 1
 
3.3%

스포츠액세서리(C05_17)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
1
 
2

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 28
93.3%
1 2
 
6.7%

Length

2024-04-18T16:36:52.622595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:52.710084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

야구(C05_18)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7
Minimum0
Maximum5
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:52.787677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.55
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2635473
Coefficient of variation (CV)1.8050675
Kurtosis4.9158235
Mean0.7
Median Absolute Deviation (MAD)0
Skewness2.2614519
Sum21
Variance1.5965517
MonotonicityNot monotonic
2024-04-18T16:36:52.895042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 19
63.3%
1 7
 
23.3%
5 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
2 1
 
3.3%
ValueCountFrequency (%)
0 19
63.3%
1 7
 
23.3%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
5 1
 
3.3%
4 1
 
3.3%
3 1
 
3.3%
2 1
 
3.3%
1 7
 
23.3%
0 19
63.3%

오토바이/스쿠터(C05_19)
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
3
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
3 1
 
3.3%
2 1
 
3.3%

Length

2024-04-18T16:36:53.018755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:53.116165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
3 1
 
3.3%
2 1
 
3.3%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
23 
2
1
 
2
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
76.7%
2 3
 
10.0%
1 2
 
6.7%
4 2
 
6.7%

Length

2024-04-18T16:36:53.220259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:53.320977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
76.7%
2 3
 
10.0%
1 2
 
6.7%
4 2
 
6.7%

인라인스케이트(C05_21)
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

2024-04-18T16:36:53.426954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:53.518273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
17 
1
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 17
56.7%
1 9
30.0%
3 3
 
10.0%
2 1
 
3.3%

Length

2024-04-18T16:36:53.606732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:53.703171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
56.7%
1 9
30.0%
3 3
 
10.0%
2 1
 
3.3%

족구(C05_23)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

Length

2024-04-18T16:36:53.836830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:53.935108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

축구(C05_24)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3666667
Minimum0
Maximum5
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:54.015341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4.55
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6709141
Coefficient of variation (CV)1.2226201
Kurtosis-0.30833176
Mean1.3666667
Median Absolute Deviation (MAD)1
Skewness0.98565488
Sum41
Variance2.791954
MonotonicityNot monotonic
2024-04-18T16:36:54.114457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 14
46.7%
1 5
 
16.7%
2 4
 
13.3%
4 3
 
10.0%
3 2
 
6.7%
5 2
 
6.7%
ValueCountFrequency (%)
0 14
46.7%
1 5
 
16.7%
2 4
 
13.3%
3 2
 
6.7%
4 3
 
10.0%
5 2
 
6.7%
ValueCountFrequency (%)
5 2
 
6.7%
4 3
 
10.0%
3 2
 
6.7%
2 4
 
13.3%
1 5
 
16.7%
0 14
46.7%

캠핑(C05_25)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1333333
Minimum0
Maximum24
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:54.224069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile12.4
Maximum24
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.0359626
Coefficient of variation (CV)1.6072221
Kurtosis11.065544
Mean3.1333333
Median Absolute Deviation (MAD)1
Skewness3.1982001
Sum94
Variance25.36092
MonotonicityNot monotonic
2024-04-18T16:36:54.322291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 7
23.3%
0 7
23.3%
1 6
20.0%
3 3
10.0%
4 3
10.0%
5 1
 
3.3%
24 1
 
3.3%
8 1
 
3.3%
16 1
 
3.3%
ValueCountFrequency (%)
0 7
23.3%
1 6
20.0%
2 7
23.3%
3 3
10.0%
4 3
10.0%
5 1
 
3.3%
8 1
 
3.3%
16 1
 
3.3%
24 1
 
3.3%
ValueCountFrequency (%)
24 1
 
3.3%
16 1
 
3.3%
8 1
 
3.3%
5 1
 
3.3%
4 3
10.0%
3 3
10.0%
2 7
23.3%
1 6
20.0%
0 7
23.3%

탁구(C05_26)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 5
 
16.7%

Length

2024-04-18T16:36:54.430381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:54.529651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 5
 
16.7%

테니스(C05_27)
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
2
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
2 1
 
3.3%
3 1
 
3.3%

Length

2024-04-18T16:36:54.625487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:54.717965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
2 1
 
3.3%
3 1
 
3.3%

헬스(C05_28)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6666667
Minimum0
Maximum29
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:54.802896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median3
Q36
95-th percentile10.55
Maximum29
Range29
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation5.4981711
Coefficient of variation (CV)1.1781795
Kurtosis13.19063
Mean4.6666667
Median Absolute Deviation (MAD)2
Skewness3.1737382
Sum140
Variance30.229885
MonotonicityNot monotonic
2024-04-18T16:36:54.922742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2 5
16.7%
1 5
16.7%
5 4
13.3%
0 3
10.0%
3 3
10.0%
7 3
10.0%
6 2
 
6.7%
9 1
 
3.3%
11 1
 
3.3%
29 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 3
10.0%
1 5
16.7%
2 5
16.7%
3 3
10.0%
4 1
 
3.3%
5 4
13.3%
6 2
 
6.7%
7 3
10.0%
9 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
29 1
 
3.3%
11 1
 
3.3%
10 1
 
3.3%
9 1
 
3.3%
7 3
10.0%
6 2
 
6.7%
5 4
13.3%
4 1
 
3.3%
3 3
10.0%
2 5
16.7%

가공식품(C06_01)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.966667
Minimum0
Maximum257
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:55.056924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115.25
median54.5
Q3150
95-th percentile201.55
Maximum257
Range257
Interquartile range (IQR)134.75

Descriptive statistics

Standard deviation76.631894
Coefficient of variation (CV)0.95829796
Kurtosis-0.70612225
Mean79.966667
Median Absolute Deviation (MAD)47.5
Skewness0.75982404
Sum2399
Variance5872.4471
MonotonicityNot monotonic
2024-04-18T16:36:55.179111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 4
 
13.3%
72 2
 
6.7%
68 1
 
3.3%
13 1
 
3.3%
25 1
 
3.3%
201 1
 
3.3%
49 1
 
3.3%
19 1
 
3.3%
169 1
 
3.3%
60 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0 4
13.3%
5 1
 
3.3%
9 1
 
3.3%
13 1
 
3.3%
15 1
 
3.3%
16 1
 
3.3%
19 1
 
3.3%
25 1
 
3.3%
37 1
 
3.3%
44 1
 
3.3%
ValueCountFrequency (%)
257 1
3.3%
202 1
3.3%
201 1
3.3%
189 1
3.3%
182 1
3.3%
169 1
3.3%
168 1
3.3%
154 1
3.3%
138 1
3.3%
110 1
3.3%

건강식품(C06_02)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.733333
Minimum0
Maximum180
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:55.282037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122.5
median49.5
Q390
95-th percentile134.75
Maximum180
Range180
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation46.150379
Coefficient of variation (CV)0.79937146
Kurtosis0.15745379
Mean57.733333
Median Absolute Deviation (MAD)32
Skewness0.74109356
Sum1732
Variance2129.8575
MonotonicityNot monotonic
2024-04-18T16:36:55.783719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3
 
10.0%
47 2
 
6.7%
90 2
 
6.7%
75 2
 
6.7%
26 1
 
3.3%
109 1
 
3.3%
132 1
 
3.3%
100 1
 
3.3%
95 1
 
3.3%
46 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 3
10.0%
2 1
 
3.3%
4 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%
34 1
 
3.3%
ValueCountFrequency (%)
180 1
3.3%
137 1
3.3%
132 1
3.3%
109 1
3.3%
103 1
3.3%
100 1
3.3%
95 1
3.3%
90 2
6.7%
75 2
6.7%
62 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

2024-04-18T16:36:55.908455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:56.022113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

과자/간식/음료(C06_04)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.3
Minimum0
Maximum273
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:56.105986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.5
median58
Q3142
95-th percentile219
Maximum273
Range273
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation77.902747
Coefficient of variation (CV)0.93520704
Kurtosis-0.43936437
Mean83.3
Median Absolute Deviation (MAD)57
Skewness0.6983296
Sum2499
Variance6068.8379
MonotonicityNot monotonic
2024-04-18T16:36:56.217645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 4
 
13.3%
5 2
 
6.7%
58 2
 
6.7%
208 1
 
3.3%
17 1
 
3.3%
55 1
 
3.3%
139 1
 
3.3%
145 1
 
3.3%
154 1
 
3.3%
33 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 4
13.3%
5 2
6.7%
10 1
 
3.3%
12 1
 
3.3%
14 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
33 1
 
3.3%
36 1
 
3.3%
55 1
 
3.3%
ValueCountFrequency (%)
273 1
3.3%
228 1
3.3%
208 1
3.3%
172 1
3.3%
154 1
3.3%
148 1
3.3%
145 1
3.3%
143 1
3.3%
139 1
3.3%
135 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

2024-04-18T16:36:56.349616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:56.439605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

반찬(C06_06)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.466667
Minimum0
Maximum65
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:56.524024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median12
Q325
95-th percentile42.6
Maximum65
Range65
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.230942
Coefficient of variation (CV)0.87200052
Kurtosis1.9989231
Mean17.466667
Median Absolute Deviation (MAD)11
Skewness1.2671406
Sum524
Variance231.98161
MonotonicityNot monotonic
2024-04-18T16:36:56.636862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
12 3
 
10.0%
10 3
 
10.0%
0 3
 
10.0%
1 2
 
6.7%
25 2
 
6.7%
9 2
 
6.7%
11 1
 
3.3%
21 1
 
3.3%
2 1
 
3.3%
27 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 3
10.0%
1 2
6.7%
2 1
 
3.3%
8 1
 
3.3%
9 2
6.7%
10 3
10.0%
11 1
 
3.3%
12 3
10.0%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
65 1
3.3%
48 1
3.3%
36 1
3.3%
34 1
3.3%
32 1
3.3%
30 1
3.3%
27 1
3.3%
25 2
6.7%
24 1
3.3%
23 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

2024-04-18T16:36:56.761994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:56.851551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

식품기타(C06_08)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.9
Minimum0
Maximum68
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:56.939473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17.5
median16
Q322
95-th percentile37.3
Maximum68
Range68
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation13.879655
Coefficient of variation (CV)0.82128137
Kurtosis5.3410455
Mean16.9
Median Absolute Deviation (MAD)7
Skewness1.7758936
Sum507
Variance192.64483
MonotonicityNot monotonic
2024-04-18T16:36:57.051276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
14 2
 
6.7%
18 2
 
6.7%
24 2
 
6.7%
1 2
 
6.7%
2 2
 
6.7%
12 2
 
6.7%
22 2
 
6.7%
20 2
 
6.7%
17 2
 
6.7%
15 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 1
3.3%
1 2
6.7%
2 2
6.7%
3 1
3.3%
6 1
3.3%
7 1
3.3%
9 1
3.3%
12 2
6.7%
13 1
3.3%
14 2
6.7%
ValueCountFrequency (%)
68 1
3.3%
40 1
3.3%
34 1
3.3%
29 1
3.3%
24 2
6.7%
23 1
3.3%
22 2
6.7%
20 2
6.7%
18 2
6.7%
17 2
6.7%

신선식품(C06_09)
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.166667
Minimum1
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:57.180815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q113.25
median88.5
Q3138.5
95-th percentile208.7
Maximum288
Range287
Interquartile range (IQR)125.25

Descriptive statistics

Standard deviation75.036122
Coefficient of variation (CV)0.86083505
Kurtosis0.15954609
Mean87.166667
Median Absolute Deviation (MAD)59.5
Skewness0.74099097
Sum2615
Variance5630.4195
MonotonicityNot monotonic
2024-04-18T16:36:57.301908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 2
 
6.7%
60 1
 
3.3%
142 1
 
3.3%
113 1
 
3.3%
161 1
 
3.3%
201 1
 
3.3%
26 1
 
3.3%
101 1
 
3.3%
98 1
 
3.3%
134 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
1 2
6.7%
2 1
3.3%
5 1
3.3%
6 1
3.3%
9 1
3.3%
10 1
3.3%
13 1
3.3%
14 1
3.3%
26 1
3.3%
42 1
3.3%
ValueCountFrequency (%)
288 1
3.3%
215 1
3.3%
201 1
3.3%
183 1
3.3%
161 1
3.3%
145 1
3.3%
142 1
3.3%
140 1
3.3%
134 1
3.3%
113 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

2024-04-18T16:36:57.421015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:57.506533image/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

2024-04-18T16:36:57.597519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:57.683539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

기저귀(C07_01)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7333333
Minimum0
Maximum24
Zeros22
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:57.764815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile7.65
Maximum24
Range24
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation4.7338352
Coefficient of variation (CV)2.7310588
Kurtosis17.719876
Mean1.7333333
Median Absolute Deviation (MAD)0
Skewness3.9816731
Sum52
Variance22.409195
MonotonicityNot monotonic
2024-04-18T16:36:57.859138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 22
73.3%
1 2
 
6.7%
5 1
 
3.3%
4 1
 
3.3%
6 1
 
3.3%
2 1
 
3.3%
9 1
 
3.3%
24 1
 
3.3%
ValueCountFrequency (%)
0 22
73.3%
1 2
 
6.7%
2 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
9 1
 
3.3%
24 1
 
3.3%
ValueCountFrequency (%)
24 1
 
3.3%
9 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
2 1
 
3.3%
1 2
 
6.7%
0 22
73.3%

분유/이유식(C07_02)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2
Minimum0
Maximum11
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:57.955683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6.1
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.524364
Coefficient of variation (CV)2.1036367
Kurtosis7.8167531
Mean1.2
Median Absolute Deviation (MAD)0
Skewness2.7213452
Sum36
Variance6.3724138
MonotonicityNot monotonic
2024-04-18T16:36:58.086478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 20
66.7%
1 4
 
13.3%
2 1
 
3.3%
11 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
3 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
0 20
66.7%
1 4
 
13.3%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
7 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
11 1
 
3.3%
7 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
3 1
 
3.3%
2 1
 
3.3%
1 4
 
13.3%
0 20
66.7%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
21 
2
1
11
 
2

Length

Max length2
Median length1
Mean length1.0666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 21
70.0%
2 4
 
13.3%
1 3
 
10.0%
11 2
 
6.7%

Length

2024-04-18T16:36:58.197480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:58.292582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
70.0%
2 4
 
13.3%
1 3
 
10.0%
11 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

2024-04-18T16:36:58.418649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:58.506913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%
Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
19 
1
2
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 19
63.3%
1 6
 
20.0%
2 3
 
10.0%
3 2
 
6.7%

Length

2024-04-18T16:36:58.593762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:58.685467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
63.3%
1 6
 
20.0%
2 3
 
10.0%
3 2
 
6.7%

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

2024-04-18T16:36:58.787795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:58.871067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

유아잡화(C07_07)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4666667
Minimum0
Maximum9
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:58.950058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4.65
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0296651
Coefficient of variation (CV)1.3838625
Kurtosis5.9876974
Mean1.4666667
Median Absolute Deviation (MAD)1
Skewness2.1726529
Sum44
Variance4.1195402
MonotonicityNot monotonic
2024-04-18T16:36:59.048452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 14
46.7%
2 7
23.3%
3 4
 
13.3%
1 3
 
10.0%
9 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 3
 
10.0%
2 7
23.3%
3 4
 
13.3%
6 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
9 1
 
3.3%
6 1
 
3.3%
3 4
 
13.3%
2 7
23.3%
1 3
 
10.0%
0 14
46.7%

임산부용품(C07_08)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
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 row0

Common Values

ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

Length

2024-04-18T16:36:59.159005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:36:59.259718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

출산/육아기타(C07_09)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7
Minimum0
Maximum7
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:59.339381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1837961
Coefficient of variation (CV)1.284586
Kurtosis1.3972269
Mean1.7
Median Absolute Deviation (MAD)1
Skewness1.4554902
Sum51
Variance4.7689655
MonotonicityNot monotonic
2024-04-18T16:36:59.438738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 13
43.3%
2 6
20.0%
1 4
 
13.3%
7 3
 
10.0%
3 2
 
6.7%
4 2
 
6.7%
ValueCountFrequency (%)
0 13
43.3%
1 4
 
13.3%
2 6
20.0%
3 2
 
6.7%
4 2
 
6.7%
7 3
 
10.0%
ValueCountFrequency (%)
7 3
 
10.0%
4 2
 
6.7%
3 2
 
6.7%
2 6
20.0%
1 4
 
13.3%
0 13
43.3%

언더웨어/잠옷(C08_01)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.266667
Minimum0
Maximum186
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:59.545013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115.25
median35
Q370.5
95-th percentile127.1
Maximum186
Range186
Interquartile range (IQR)55.25

Descriptive statistics

Standard deviation44.899069
Coefficient of variation (CV)0.93022934
Kurtosis1.7859063
Mean48.266667
Median Absolute Deviation (MAD)30
Skewness1.2899724
Sum1448
Variance2015.9264
MonotonicityNot monotonic
2024-04-18T16:36:59.654036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 3
 
10.0%
35 2
 
6.7%
71 1
 
3.3%
14 1
 
3.3%
29 1
 
3.3%
41 1
 
3.3%
63 1
 
3.3%
6 1
 
3.3%
137 1
 
3.3%
34 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0 3
10.0%
1 1
 
3.3%
3 1
 
3.3%
6 1
 
3.3%
11 1
 
3.3%
14 1
 
3.3%
19 1
 
3.3%
21 1
 
3.3%
27 1
 
3.3%
29 1
 
3.3%
ValueCountFrequency (%)
186 1
3.3%
137 1
3.3%
115 1
3.3%
105 1
3.3%
89 1
3.3%
81 1
3.3%
74 1
3.3%
71 1
3.3%
69 1
3.3%
66 1
3.3%

의류(C08_02)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.26667
Minimum0
Maximum1245
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:59.766555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q150.5
median157
Q3302.75
95-th percentile546.35
Maximum1245
Range1245
Interquartile range (IQR)252.25

Descriptive statistics

Standard deviation257.93944
Coefficient of variation (CV)1.1057707
Kurtosis7.1899932
Mean233.26667
Median Absolute Deviation (MAD)129
Skewness2.2322325
Sum6998
Variance66532.754
MonotonicityNot monotonic
2024-04-18T16:36:59.879866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2
 
6.7%
285 1
 
3.3%
1245 1
 
3.3%
508 1
 
3.3%
215 1
 
3.3%
108 1
 
3.3%
394 1
 
3.3%
127 1
 
3.3%
380 1
 
3.3%
61 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
6 1
3.3%
9 1
3.3%
23 1
3.3%
42 1
3.3%
47 1
3.3%
61 1
3.3%
62 1
3.3%
81 1
3.3%
ValueCountFrequency (%)
1245 1
3.3%
554 1
3.3%
537 1
3.3%
508 1
3.3%
475 1
3.3%
394 1
3.3%
380 1
3.3%
308 1
3.3%
287 1
3.3%
285 1
3.3%

패션의류기타(C08_03)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.5
Minimum0
Maximum853
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:36:59.988182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q112
median27
Q375.5
95-th percentile121.65
Maximum853
Range853
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation153.21694
Coefficient of variation (CV)2.2698806
Kurtosis25.981707
Mean67.5
Median Absolute Deviation (MAD)23.5
Skewness4.9510501
Sum2025
Variance23475.431
MonotonicityNot monotonic
2024-04-18T16:37:00.101550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
56 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
12 2
 
6.7%
27 2
 
6.7%
20 1
 
3.3%
105 1
 
3.3%
77 1
 
3.3%
853 1
 
3.3%
31 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
6 1
3.3%
9 1
3.3%
11 1
3.3%
12 2
6.7%
13 1
3.3%
15 1
3.3%
16 1
3.3%
18 1
3.3%
ValueCountFrequency (%)
853 1
3.3%
123 1
3.3%
120 1
3.3%
105 1
3.3%
99 1
3.3%
96 1
3.3%
77 1
3.3%
76 1
3.3%
74 1
3.3%
56 2
6.7%

가방/지갑(C09_01)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.2
Minimum0
Maximum75
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:00.239040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q15
median24.5
Q335.5
95-th percentile61
Maximum75
Range75
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation20.833329
Coefficient of variation (CV)0.86088135
Kurtosis-0.058939362
Mean24.2
Median Absolute Deviation (MAD)18
Skewness0.70646957
Sum726
Variance434.02759
MonotonicityNot monotonic
2024-04-18T16:37:00.344876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 3
 
10.0%
0 2
 
6.7%
34 2
 
6.7%
1 2
 
6.7%
23 2
 
6.7%
29 2
 
6.7%
42 1
 
3.3%
4 1
 
3.3%
31 1
 
3.3%
36 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
2 1
 
3.3%
4 1
 
3.3%
5 3
10.0%
6 1
 
3.3%
7 1
 
3.3%
11 1
 
3.3%
13 1
 
3.3%
23 2
6.7%
ValueCountFrequency (%)
75 1
3.3%
70 1
3.3%
50 1
3.3%
48 1
3.3%
45 1
3.3%
42 1
3.3%
41 1
3.3%
36 1
3.3%
34 2
6.7%
31 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

2024-04-18T16:37:00.458308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:37:00.550352image/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

2024-04-18T16:37:00.631904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:37:00.713644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

신발(C09_04)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.066667
Minimum0
Maximum159
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:00.797077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q17
median32.5
Q356
95-th percentile87.3
Maximum159
Range159
Interquartile range (IQR)49

Descriptive statistics

Standard deviation35.45948
Coefficient of variation (CV)0.95664064
Kurtosis3.402944
Mean37.066667
Median Absolute Deviation (MAD)25.5
Skewness1.5117598
Sum1112
Variance1257.3747
MonotonicityNot monotonic
2024-04-18T16:37:00.909688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
21 2
 
6.7%
0 2
 
6.7%
24 1
 
3.3%
57 1
 
3.3%
61 1
 
3.3%
39 1
 
3.3%
48 1
 
3.3%
80 1
 
3.3%
3 1
 
3.3%
52 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
10 1
3.3%
15 1
3.3%
16 1
3.3%
ValueCountFrequency (%)
159 1
3.3%
90 1
3.3%
84 1
3.3%
80 1
3.3%
64 1
3.3%
61 1
3.3%
60 1
3.3%
57 1
3.3%
53 1
3.3%
52 1
3.3%

액세서리(C09_05)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.1
Minimum0
Maximum56
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:01.020463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.75
median22.5
Q336.25
95-th percentile49.2
Maximum56
Range56
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation16.609823
Coefficient of variation (CV)0.75157568
Kurtosis-0.96238895
Mean22.1
Median Absolute Deviation (MAD)14.5
Skewness0.26352119
Sum663
Variance275.88621
MonotonicityNot monotonic
2024-04-18T16:37:01.117491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 4
 
13.3%
5 2
 
6.7%
37 2
 
6.7%
9 2
 
6.7%
27 1
 
3.3%
42 1
 
3.3%
24 1
 
3.3%
20 1
 
3.3%
39 1
 
3.3%
51 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 4
13.3%
2 1
 
3.3%
5 2
6.7%
6 1
 
3.3%
9 2
6.7%
12 1
 
3.3%
13 1
 
3.3%
20 1
 
3.3%
21 1
 
3.3%
22 1
 
3.3%
ValueCountFrequency (%)
56 1
3.3%
51 1
3.3%
47 1
3.3%
42 1
3.3%
39 1
3.3%
38 1
3.3%
37 2
6.7%
34 1
3.3%
30 1
3.3%
28 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

2024-04-18T16:37:01.221316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:37:01.301940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

패션소품(C09_07)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.466667
Minimum0
Maximum105
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:01.397691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median18
Q338
95-th percentile66.75
Maximum105
Range105
Interquartile range (IQR)33.75

Descriptive statistics

Standard deviation25.663248
Coefficient of variation (CV)1.0489066
Kurtosis1.9786769
Mean24.466667
Median Absolute Deviation (MAD)14.5
Skewness1.4267627
Sum734
Variance658.6023
MonotonicityNot monotonic
2024-04-18T16:37:01.503256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 3
 
10.0%
0 3
 
10.0%
22 2
 
6.7%
64 2
 
6.7%
18 2
 
6.7%
9 2
 
6.7%
46 1
 
3.3%
51 1
 
3.3%
20 1
 
3.3%
29 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 3
10.0%
2 3
10.0%
3 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
8 1
 
3.3%
9 2
6.7%
10 1
 
3.3%
17 1
 
3.3%
18 2
6.7%
ValueCountFrequency (%)
105 1
3.3%
69 1
3.3%
64 2
6.7%
51 1
3.3%
46 1
3.3%
42 1
3.3%
40 1
3.3%
32 1
3.3%
29 1
3.3%
22 2
6.7%

패션잡화기타(C09_08)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1666667
Minimum0
Maximum39
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:01.617111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median8
Q312.75
95-th percentile27.3
Maximum39
Range39
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation9.0899085
Coefficient of variation (CV)0.99162638
Kurtosis3.3666006
Mean9.1666667
Median Absolute Deviation (MAD)5
Skewness1.6927046
Sum275
Variance82.626437
MonotonicityNot monotonic
2024-04-18T16:37:01.742133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
9 4
13.3%
0 4
13.3%
4 4
13.3%
14 2
 
6.7%
16 2
 
6.7%
8 2
 
6.7%
1 2
 
6.7%
6 2
 
6.7%
24 1
 
3.3%
39 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
0 4
13.3%
1 2
6.7%
2 1
 
3.3%
3 1
 
3.3%
4 4
13.3%
6 2
6.7%
8 2
6.7%
9 4
13.3%
10 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
39 1
 
3.3%
30 1
 
3.3%
24 1
 
3.3%
16 2
6.7%
14 2
6.7%
13 1
 
3.3%
12 1
 
3.3%
10 1
 
3.3%
9 4
13.3%
8 2
6.7%

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

2024-04-18T16:37:01.856616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:37:01.938990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

기초화장품(C10_01)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.16667
Minimum0
Maximum702
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:02.023549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q132.25
median66.5
Q3161
95-th percentile391.95
Maximum702
Range702
Interquartile range (IQR)128.75

Descriptive statistics

Standard deviation157.31828
Coefficient of variation (CV)1.2371031
Kurtosis5.3092678
Mean127.16667
Median Absolute Deviation (MAD)49
Skewness2.1632529
Sum3815
Variance24749.04
MonotonicityNot monotonic
2024-04-18T16:37:02.131094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
17 1
 
3.3%
32 1
 
3.3%
143 1
 
3.3%
63 1
 
3.3%
82 1
 
3.3%
53 1
 
3.3%
167 1
 
3.3%
343 1
 
3.3%
174 1
 
3.3%
3 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0 1
3.3%
1 1
3.3%
3 1
3.3%
4 1
3.3%
17 1
3.3%
18 1
3.3%
25 1
3.3%
32 1
3.3%
33 1
3.3%
35 1
3.3%
ValueCountFrequency (%)
702 1
3.3%
432 1
3.3%
343 1
3.3%
340 1
3.3%
303 1
3.3%
219 1
3.3%
174 1
3.3%
167 1
3.3%
143 1
3.3%
122 1
3.3%

네일메이크업(C10_02)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4
Minimum0
Maximum14
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:02.608103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32.75
95-th percentile7.55
Maximum14
Range14
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation3.1139287
Coefficient of variation (CV)1.2974703
Kurtosis5.8756377
Mean2.4
Median Absolute Deviation (MAD)1
Skewness2.2717836
Sum72
Variance9.6965517
MonotonicityNot monotonic
2024-04-18T16:37:02.693475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 9
30.0%
0 7
23.3%
2 6
20.0%
3 3
 
10.0%
7 2
 
6.7%
6 1
 
3.3%
8 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
0 7
23.3%
1 9
30.0%
2 6
20.0%
3 3
 
10.0%
6 1
 
3.3%
7 2
 
6.7%
8 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
8 1
 
3.3%
7 2
 
6.7%
6 1
 
3.3%
3 3
 
10.0%
2 6
20.0%
1 9
30.0%
0 7
23.3%

바디용품(C10_03)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.233333
Minimum0
Maximum97
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:02.806893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14.75
median18.5
Q332.5
95-th percentile60.55
Maximum97
Range97
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation22.350937
Coefficient of variation (CV)0.96202023
Kurtosis2.991258
Mean23.233333
Median Absolute Deviation (MAD)14.5
Skewness1.5209079
Sum697
Variance499.56437
MonotonicityNot monotonic
2024-04-18T16:37:02.923310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
11 2
 
6.7%
2 2
 
6.7%
1 2
 
6.7%
3 2
 
6.7%
16 1
 
3.3%
20 1
 
3.3%
8 1
 
3.3%
31 1
 
3.3%
45 1
 
3.3%
33 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0 1
3.3%
1 2
6.7%
2 2
6.7%
3 2
6.7%
4 1
3.3%
7 1
3.3%
8 1
3.3%
11 2
6.7%
15 1
3.3%
16 1
3.3%
ValueCountFrequency (%)
97 1
3.3%
70 1
3.3%
49 1
3.3%
45 1
3.3%
44 1
3.3%
42 1
3.3%
34 1
3.3%
33 1
3.3%
31 1
3.3%
29 1
3.3%

뷰티소품(C10_04)
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.333333
Minimum0
Maximum41
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:03.028454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q15
median12.5
Q323.75
95-th percentile32.1
Maximum41
Range41
Interquartile range (IQR)18.75

Descriptive statistics

Standard deviation11.139657
Coefficient of variation (CV)0.77718536
Kurtosis-0.51363309
Mean14.333333
Median Absolute Deviation (MAD)10.5
Skewness0.51423292
Sum430
Variance124.09195
MonotonicityNot monotonic
2024-04-18T16:37:03.135231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
24 3
 
10.0%
2 3
 
10.0%
11 2
 
6.7%
27 2
 
6.7%
18 2
 
6.7%
5 2
 
6.7%
1 2
 
6.7%
0 2
 
6.7%
8 2
 
6.7%
15 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
2 3
10.0%
5 2
6.7%
8 2
6.7%
10 1
 
3.3%
11 2
6.7%
12 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
41 1
 
3.3%
33 1
 
3.3%
31 1
 
3.3%
27 2
6.7%
24 3
10.0%
23 1
 
3.3%
20 1
 
3.3%
18 2
6.7%
15 1
 
3.3%
14 1
 
3.3%

색조화장품(C10_05)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.333333
Minimum0
Maximum217
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:03.242997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median30.5
Q343.75
95-th percentile113.25
Maximum217
Range217
Interquartile range (IQR)30.75

Descriptive statistics

Standard deviation43.805474
Coefficient of variation (CV)1.1136985
Kurtosis9.1281187
Mean39.333333
Median Absolute Deviation (MAD)17
Skewness2.7355218
Sum1180
Variance1918.9195
MonotonicityNot monotonic
2024-04-18T16:37:03.345990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13 2
 
6.7%
7 2
 
6.7%
31 2
 
6.7%
24 2
 
6.7%
6 2
 
6.7%
37 1
 
3.3%
30 1
 
3.3%
57 1
 
3.3%
11 1
 
3.3%
16 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 1
3.3%
6 2
6.7%
7 2
6.7%
10 1
3.3%
11 1
3.3%
13 2
6.7%
14 1
3.3%
16 1
3.3%
24 2
6.7%
27 1
3.3%
ValueCountFrequency (%)
217 1
3.3%
129 1
3.3%
94 1
3.3%
75 1
3.3%
59 1
3.3%
57 1
3.3%
45 1
3.3%
44 1
3.3%
43 1
3.3%
42 1
3.3%

유아화장품(C10_06)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8666667
Minimum0
Maximum22
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:03.453002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile16.1
Maximum22
Range22
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.9407032
Coefficient of variation (CV)1.5363887
Kurtosis2.4908447
Mean3.8666667
Median Absolute Deviation (MAD)1
Skewness1.8530189
Sum116
Variance35.291954
MonotonicityNot monotonic
2024-04-18T16:37:03.553836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 10
33.3%
1 6
20.0%
3 4
 
13.3%
2 3
 
10.0%
22 1
 
3.3%
12 1
 
3.3%
17 1
 
3.3%
8 1
 
3.3%
4 1
 
3.3%
15 1
 
3.3%
ValueCountFrequency (%)
0 10
33.3%
1 6
20.0%
2 3
 
10.0%
3 4
 
13.3%
4 1
 
3.3%
8 1
 
3.3%
12 1
 
3.3%
14 1
 
3.3%
15 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
22 1
 
3.3%
17 1
 
3.3%
15 1
 
3.3%
14 1
 
3.3%
12 1
 
3.3%
8 1
 
3.3%
4 1
 
3.3%
3 4
13.3%
2 3
10.0%
1 6
20.0%

향수(C10_07)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5
Minimum0
Maximum41
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:03.652944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4.5
Q38
95-th percentile26.8
Maximum41
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.2129968
Coefficient of variation (CV)1.2283996
Kurtosis7.16985
Mean7.5
Median Absolute Deviation (MAD)3
Skewness2.5874118
Sum225
Variance84.87931
MonotonicityNot monotonic
2024-04-18T16:37:03.746573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
4 4
13.3%
0 4
13.3%
3 4
13.3%
8 3
10.0%
2 2
 
6.7%
7 2
 
6.7%
6 2
 
6.7%
11 2
 
6.7%
13 1
 
3.3%
18 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0 4
13.3%
1 1
 
3.3%
2 2
6.7%
3 4
13.3%
4 4
13.3%
5 1
 
3.3%
6 2
6.7%
7 2
6.7%
8 3
10.0%
9 1
 
3.3%
ValueCountFrequency (%)
41 1
 
3.3%
34 1
 
3.3%
18 1
 
3.3%
13 1
 
3.3%
11 2
6.7%
9 1
 
3.3%
8 3
10.0%
7 2
6.7%
6 2
6.7%
5 1
 
3.3%

헤어용품(C10_08)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.2
Minimum0
Maximum127
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:03.847790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q16.25
median15
Q331.5
95-th percentile101.6
Maximum127
Range127
Interquartile range (IQR)25.25

Descriptive statistics

Standard deviation32.852229
Coefficient of variation (CV)1.2078025
Kurtosis3.2309671
Mean27.2
Median Absolute Deviation (MAD)11.5
Skewness1.9098933
Sum816
Variance1079.269
MonotonicityNot monotonic
2024-04-18T16:37:03.961771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
15 3
 
10.0%
30 2
 
6.7%
3 2
 
6.7%
9 2
 
6.7%
7 2
 
6.7%
0 2
 
6.7%
14 1
 
3.3%
25 1
 
3.3%
23 1
 
3.3%
84 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
3 2
6.7%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 2
6.7%
9 2
6.7%
11 1
3.3%
14 1
3.3%
ValueCountFrequency (%)
127 1
3.3%
116 1
3.3%
84 1
3.3%
73 1
3.3%
53 1
3.3%
38 1
3.3%
37 1
3.3%
32 1
3.3%
30 2
6.7%
25 1
3.3%

화장품/미용기타(C10_09)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7
Minimum0
Maximum21
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:04.071634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11.75
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.5874642
Coefficient of variation (CV)1.6990608
Kurtosis9.1779034
Mean2.7
Median Absolute Deviation (MAD)1
Skewness2.909623
Sum81
Variance21.044828
MonotonicityNot monotonic
2024-04-18T16:37:04.164606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 10
33.3%
1 8
26.7%
2 3
 
10.0%
4 3
 
10.0%
3 2
 
6.7%
9 1
 
3.3%
14 1
 
3.3%
5 1
 
3.3%
21 1
 
3.3%
ValueCountFrequency (%)
0 10
33.3%
1 8
26.7%
2 3
 
10.0%
3 2
 
6.7%
4 3
 
10.0%
5 1
 
3.3%
9 1
 
3.3%
14 1
 
3.3%
21 1
 
3.3%
ValueCountFrequency (%)
21 1
 
3.3%
14 1
 
3.3%
9 1
 
3.3%
5 1
 
3.3%
4 3
 
10.0%
3 2
 
6.7%
2 3
 
10.0%
1 8
26.7%
0 10
33.3%

가구/인테리어(C01)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.9
Minimum0
Maximum166
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:04.274185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q119.25
median60.5
Q3102
95-th percentile136.7
Maximum166
Range166
Interquartile range (IQR)82.75

Descriptive statistics

Standard deviation49.071623
Coefficient of variation (CV)0.78015298
Kurtosis-1.0156436
Mean62.9
Median Absolute Deviation (MAD)42
Skewness0.44187494
Sum1887
Variance2408.0241
MonotonicityNot monotonic
2024-04-18T16:37:04.433506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2
 
6.7%
51 1
 
3.3%
18 1
 
3.3%
81 1
 
3.3%
46 1
 
3.3%
96 1
 
3.3%
60 1
 
3.3%
61 1
 
3.3%
83 1
 
3.3%
128 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 2
6.7%
2 1
3.3%
10 1
3.3%
11 1
3.3%
17 1
3.3%
18 1
3.3%
19 1
3.3%
20 1
3.3%
21 1
3.3%
23 1
3.3%
ValueCountFrequency (%)
166 1
3.3%
143 1
3.3%
129 1
3.3%
128 1
3.3%
126 1
3.3%
122 1
3.3%
121 1
3.3%
104 1
3.3%
96 1
3.3%
83 1
3.3%

도서/음반(C02)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.16667
Minimum0
Maximum611
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:04.566914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.95
Q199.25
median166
Q3190.25
95-th percentile317.2
Maximum611
Range611
Interquartile range (IQR)91

Descriptive statistics

Standard deviation117.67755
Coefficient of variation (CV)0.73471935
Kurtosis6.6100049
Mean160.16667
Median Absolute Deviation (MAD)44.5
Skewness1.9041261
Sum4805
Variance13848.006
MonotonicityNot monotonic
2024-04-18T16:37:04.709544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
166 2
 
6.7%
135 2
 
6.7%
261 1
 
3.3%
169 1
 
3.3%
328 1
 
3.3%
212 1
 
3.3%
188 1
 
3.3%
217 1
 
3.3%
167 1
 
3.3%
304 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0 1
3.3%
10 1
3.3%
21 1
3.3%
28 1
3.3%
30 1
3.3%
56 1
3.3%
85 1
3.3%
98 1
3.3%
103 1
3.3%
123 1
3.3%
ValueCountFrequency (%)
611 1
3.3%
328 1
3.3%
304 1
3.3%
261 1
3.3%
217 1
3.3%
212 1
3.3%
192 1
3.3%
191 1
3.3%
188 1
3.3%
186 1
3.3%

디지털/가전(C03)
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236.83333
Minimum0
Maximum756
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:04.835823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.4
Q144.5
median255
Q3355.75
95-th percentile507.9
Maximum756
Range756
Interquartile range (IQR)311.25

Descriptive statistics

Standard deviation188.5886
Coefficient of variation (CV)0.79629248
Kurtosis0.29687552
Mean236.83333
Median Absolute Deviation (MAD)151
Skewness0.60059268
Sum7105
Variance35565.661
MonotonicityNot monotonic
2024-04-18T16:37:04.951965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2
 
6.7%
267 1
 
3.3%
327 1
 
3.3%
333 1
 
3.3%
32 1
 
3.3%
44 1
 
3.3%
296 1
 
3.3%
14 1
 
3.3%
410 1
 
3.3%
33 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
0 2
6.7%
12 1
3.3%
14 1
3.3%
28 1
3.3%
32 1
3.3%
33 1
3.3%
44 1
3.3%
46 1
3.3%
98 1
3.3%
108 1
3.3%
ValueCountFrequency (%)
756 1
3.3%
552 1
3.3%
454 1
3.3%
430 1
3.3%
410 1
3.3%
380 1
3.3%
358 1
3.3%
357 1
3.3%
352 1
3.3%
333 1
3.3%

생활건강(C04)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean520.8
Minimum0
Maximum2742
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:05.063187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1108
median378
Q3721
95-th percentile1536.6
Maximum2742
Range2742
Interquartile range (IQR)613

Descriptive statistics

Standard deviation609.1023
Coefficient of variation (CV)1.1695513
Kurtosis5.2084576
Mean520.8
Median Absolute Deviation (MAD)313
Skewness2.0436028
Sum15624
Variance371005.61
MonotonicityNot monotonic
2024-04-18T16:37:05.165133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 4
 
13.3%
164 1
 
3.3%
178 1
 
3.3%
352 1
 
3.3%
98 1
 
3.3%
414 1
 
3.3%
737 1
 
3.3%
49 1
 
3.3%
53 1
 
3.3%
146 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0 4
13.3%
20 1
 
3.3%
49 1
 
3.3%
53 1
 
3.3%
98 1
 
3.3%
138 1
 
3.3%
146 1
 
3.3%
164 1
 
3.3%
177 1
 
3.3%
178 1
 
3.3%
ValueCountFrequency (%)
2742 1
3.3%
1722 1
3.3%
1310 1
3.3%
1231 1
3.3%
1024 1
3.3%
873 1
3.3%
737 1
3.3%
735 1
3.3%
679 1
3.3%
650 1
3.3%

스포츠/레저(C05)
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.9
Minimum26
Maximum799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:05.273859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile43.35
Q1139.5
median259
Q3476
95-th percentile672.25
Maximum799
Range773
Interquartile range (IQR)336.5

Descriptive statistics

Standard deviation222.92002
Coefficient of variation (CV)0.68823717
Kurtosis-0.89728982
Mean323.9
Median Absolute Deviation (MAD)150
Skewness0.49444743
Sum9717
Variance49693.334
MonotonicityNot monotonic
2024-04-18T16:37:05.399206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
679 1
 
3.3%
168 1
 
3.3%
33 1
 
3.3%
455 1
 
3.3%
308 1
 
3.3%
56 1
 
3.3%
598 1
 
3.3%
210 1
 
3.3%
111 1
 
3.3%
407 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
26 1
3.3%
33 1
3.3%
56 1
3.3%
57 1
3.3%
97 1
3.3%
111 1
3.3%
121 1
3.3%
130 1
3.3%
168 1
3.3%
169 1
3.3%
ValueCountFrequency (%)
799 1
3.3%
679 1
3.3%
664 1
3.3%
635 1
3.3%
631 1
3.3%
598 1
3.3%
533 1
3.3%
483 1
3.3%
455 1
3.3%
411 1
3.3%

식품(C06)
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.73333
Minimum0
Maximum523
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:05.538879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q126.25
median77
Q3139.75
95-th percentile438.55
Maximum523
Range523
Interquartile range (IQR)113.5

Descriptive statistics

Standard deviation138.71303
Coefficient of variation (CV)1.1882898
Kurtosis3.3474652
Mean116.73333
Median Absolute Deviation (MAD)57
Skewness1.8845807
Sum3502
Variance19241.306
MonotonicityNot monotonic
2024-04-18T16:37:05.667835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 3
 
10.0%
30 2
 
6.7%
0 2
 
6.7%
68 1
 
3.3%
38 1
 
3.3%
14 1
 
3.3%
67 1
 
3.3%
81 1
 
3.3%
339 1
 
3.3%
111 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
0 2
6.7%
1 3
10.0%
14 1
 
3.3%
16 1
 
3.3%
25 1
 
3.3%
30 2
6.7%
37 1
 
3.3%
38 1
 
3.3%
67 1
 
3.3%
68 1
 
3.3%
ValueCountFrequency (%)
523 1
3.3%
520 1
3.3%
339 1
3.3%
270 1
3.3%
237 1
3.3%
199 1
3.3%
151 1
3.3%
143 1
3.3%
130 1
3.3%
121 1
3.3%

출산/육아(C07)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.366667
Minimum0
Maximum96
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:05.782151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q19.25
median14.5
Q327.75
95-th percentile82.65
Maximum96
Range96
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation24.398252
Coefficient of variation (CV)1.0441477
Kurtosis3.137268
Mean23.366667
Median Absolute Deviation (MAD)9.5
Skewness1.848713
Sum701
Variance595.27471
MonotonicityNot monotonic
2024-04-18T16:37:05.894176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 2
 
6.7%
23 2
 
6.7%
37 2
 
6.7%
12 2
 
6.7%
10 2
 
6.7%
1 2
 
6.7%
5 2
 
6.7%
15 1
 
3.3%
96 1
 
3.3%
38 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
5 2
6.7%
7 1
3.3%
9 1
3.3%
10 2
6.7%
11 1
3.3%
12 2
6.7%
13 1
3.3%
14 1
3.3%
ValueCountFrequency (%)
96 1
3.3%
84 1
3.3%
81 1
3.3%
38 1
3.3%
37 2
6.7%
32 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
24 1
3.3%

패션의류(C08)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9333333
Minimum0
Maximum92
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:05.997722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q38.5
95-th percentile34.1
Maximum92
Range92
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation18.547113
Coefficient of variation (CV)2.0761694
Kurtosis14.334221
Mean8.9333333
Median Absolute Deviation (MAD)1.5
Skewness3.5428111
Sum268
Variance343.9954
MonotonicityNot monotonic
2024-04-18T16:37:06.098840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 11
36.7%
1 4
 
13.3%
4 3
 
10.0%
22 2
 
6.7%
2 2
 
6.7%
15 1
 
3.3%
5 1
 
3.3%
92 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 11
36.7%
1 4
 
13.3%
2 2
 
6.7%
4 3
 
10.0%
5 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
15 1
 
3.3%
21 1
 
3.3%
ValueCountFrequency (%)
92 1
 
3.3%
44 1
 
3.3%
22 2
6.7%
21 1
 
3.3%
15 1
 
3.3%
11 1
 
3.3%
9 1
 
3.3%
7 1
 
3.3%
5 1
 
3.3%
4 3
10.0%

패션잡화(C09)
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.06667
Minimum0
Maximum481
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:06.207242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q143.25
median113
Q3174
95-th percentile292.7
Maximum481
Range481
Interquartile range (IQR)130.75

Descriptive statistics

Standard deviation109.72188
Coefficient of variation (CV)0.87730718
Kurtosis2.4071606
Mean125.06667
Median Absolute Deviation (MAD)66.5
Skewness1.3255236
Sum3752
Variance12038.892
MonotonicityNot monotonic
2024-04-18T16:37:06.328205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
62 2
 
6.7%
0 2
 
6.7%
75 1
 
3.3%
69 1
 
3.3%
141 1
 
3.3%
165 1
 
3.3%
192 1
 
3.3%
87 1
 
3.3%
14 1
 
3.3%
63 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
0 2
6.7%
2 1
3.3%
13 1
3.3%
14 1
3.3%
22 1
3.3%
28 1
3.3%
37 1
3.3%
62 2
6.7%
63 1
3.3%
69 1
3.3%
ValueCountFrequency (%)
481 1
3.3%
299 1
3.3%
285 1
3.3%
268 1
3.3%
243 1
3.3%
192 1
3.3%
182 1
3.3%
177 1
3.3%
165 1
3.3%
156 1
3.3%

화장품/미용(C10)
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.53333
Minimum0
Maximum660
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:06.450479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q164.25
median155.5
Q3239.75
95-th percentile475.75
Maximum660
Range660
Interquartile range (IQR)175.5

Descriptive statistics

Standard deviation164.37693
Coefficient of variation (CV)0.90053102
Kurtosis1.212701
Mean182.53333
Median Absolute Deviation (MAD)91
Skewness1.1462032
Sum5476
Variance27019.775
MonotonicityNot monotonic
2024-04-18T16:37:06.581558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
295 2
 
6.7%
122 2
 
6.7%
0 2
 
6.7%
201 1
 
3.3%
159 1
 
3.3%
440 1
 
3.3%
239 1
 
3.3%
190 1
 
3.3%
3 1
 
3.3%
64 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
3 1
3.3%
4 1
3.3%
21 1
3.3%
28 1
3.3%
64 1
3.3%
65 1
3.3%
104 1
3.3%
105 1
3.3%
ValueCountFrequency (%)
660 1
3.3%
505 1
3.3%
440 1
3.3%
400 1
3.3%
377 1
3.3%
295 2
6.7%
240 1
3.3%
239 1
3.3%
210 1
3.3%
201 1
3.3%
Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5828.3333
Minimum0
Maximum23986
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:06.692314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1108.5
Q39138
95-th percentile21466.2
Maximum23986
Range23986
Interquartile range (IQR)9138

Descriptive statistics

Standard deviation7440.3231
Coefficient of variation (CV)1.2765782
Kurtosis0.38613692
Mean5828.3333
Median Absolute Deviation (MAD)1108.5
Skewness1.1685504
Sum174850
Variance55358409
MonotonicityNot monotonic
2024-04-18T16:37:06.803619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 12
40.0%
5956 1
 
3.3%
10808 1
 
3.3%
19924 1
 
3.3%
9246 1
 
3.3%
8781 1
 
3.3%
216 1
 
3.3%
8814 1
 
3.3%
16678 1
 
3.3%
813 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 12
40.0%
216 1
 
3.3%
244 1
 
3.3%
813 1
 
3.3%
1404 1
 
3.3%
5956 1
 
3.3%
6163 1
 
3.3%
6632 1
 
3.3%
7882 1
 
3.3%
8781 1
 
3.3%
ValueCountFrequency (%)
23986 1
3.3%
22728 1
3.3%
19924 1
3.3%
16678 1
3.3%
15125 1
3.3%
10808 1
3.3%
9450 1
3.3%
9246 1
3.3%
8814 1
3.3%
8781 1
3.3%
Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.86667
Minimum0
Maximum1686
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:06.909865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3319.5
95-th percentile1243.4
Maximum1686
Range1686
Interquartile range (IQR)319.5

Descriptive statistics

Standard deviation448.30806
Coefficient of variation (CV)1.7870372
Kurtosis3.6912314
Mean250.86667
Median Absolute Deviation (MAD)0
Skewness2.0742341
Sum7526
Variance200980.12
MonotonicityNot monotonic
2024-04-18T16:37:07.016930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 18
60.0%
221 1
 
3.3%
181 1
 
3.3%
405 1
 
3.3%
297 1
 
3.3%
457 1
 
3.3%
493 1
 
3.3%
1391 1
 
3.3%
327 1
 
3.3%
1686 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 18
60.0%
49 1
 
3.3%
181 1
 
3.3%
221 1
 
3.3%
297 1
 
3.3%
327 1
 
3.3%
405 1
 
3.3%
457 1
 
3.3%
493 1
 
3.3%
956 1
 
3.3%
ValueCountFrequency (%)
1686 1
3.3%
1391 1
3.3%
1063 1
3.3%
956 1
3.3%
493 1
3.3%
457 1
3.3%
405 1
3.3%
327 1
3.3%
297 1
3.3%
221 1
3.3%

영화_시청채널수(I0003_N_CST)
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean741.53333
Minimum0
Maximum3080
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:07.127556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median489.5
Q31153
95-th percentile2683.1
Maximum3080
Range3080
Interquartile range (IQR)1153

Descriptive statistics

Standard deviation925.43908
Coefficient of variation (CV)1.2480074
Kurtosis0.62787647
Mean741.53333
Median Absolute Deviation (MAD)489.5
Skewness1.2122231
Sum22246
Variance856437.5
MonotonicityNot monotonic
2024-04-18T16:37:07.229518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 14
46.7%
1223 1
 
3.3%
784 1
 
3.3%
1107 1
 
3.3%
690 1
 
3.3%
1450 1
 
3.3%
867 1
 
3.3%
2196 1
 
3.3%
2462 1
 
3.3%
605 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 14
46.7%
374 1
 
3.3%
605 1
 
3.3%
659 1
 
3.3%
690 1
 
3.3%
784 1
 
3.3%
867 1
 
3.3%
1107 1
 
3.3%
1150 1
 
3.3%
1154 1
 
3.3%
ValueCountFrequency (%)
3080 1
3.3%
2864 1
3.3%
2462 1
3.3%
2196 1
3.3%
1581 1
3.3%
1450 1
3.3%
1223 1
3.3%
1154 1
3.3%
1150 1
3.3%
1107 1
3.3%

영화_시청시간(I0003_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.466667
Minimum0
Maximum198
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:07.342696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q335.75
95-th percentile84.15
Maximum198
Range198
Interquartile range (IQR)35.75

Descriptive statistics

Standard deviation42.94241
Coefficient of variation (CV)1.6862203
Kurtosis8.196704
Mean25.466667
Median Absolute Deviation (MAD)0
Skewness2.5348417
Sum764
Variance1844.0506
MonotonicityNot monotonic
2024-04-18T16:37:07.463590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 17
56.7%
65 2
 
6.7%
54 1
 
3.3%
77 1
 
3.3%
34 1
 
3.3%
198 1
 
3.3%
3 1
 
3.3%
36 1
 
3.3%
58 1
 
3.3%
35 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 17
56.7%
3 1
 
3.3%
18 1
 
3.3%
31 1
 
3.3%
34 1
 
3.3%
35 1
 
3.3%
36 1
 
3.3%
54 1
 
3.3%
58 1
 
3.3%
65 2
 
6.7%
ValueCountFrequency (%)
198 1
3.3%
90 1
3.3%
77 1
3.3%
65 2
6.7%
58 1
3.3%
54 1
3.3%
36 1
3.3%
35 1
3.3%
34 1
3.3%
31 1
3.3%

뷰티_시청채널수(I0004_N_CST)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.333333
Minimum0
Maximum800
Zeros23
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:07.568502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile489.95
Maximum800
Range800
Interquartile range (IQR)0

Descriptive statistics

Standard deviation196.89317
Coefficient of variation (CV)2.204028
Kurtosis5.6812035
Mean89.333333
Median Absolute Deviation (MAD)0
Skewness2.4366632
Sum2680
Variance38766.92
MonotonicityNot monotonic
2024-04-18T16:37:07.695878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 23
76.7%
116 1
 
3.3%
190 1
 
3.3%
539 1
 
3.3%
430 1
 
3.3%
214 1
 
3.3%
391 1
 
3.3%
800 1
 
3.3%
ValueCountFrequency (%)
0 23
76.7%
116 1
 
3.3%
190 1
 
3.3%
214 1
 
3.3%
391 1
 
3.3%
430 1
 
3.3%
539 1
 
3.3%
800 1
 
3.3%
ValueCountFrequency (%)
800 1
 
3.3%
539 1
 
3.3%
430 1
 
3.3%
391 1
 
3.3%
214 1
 
3.3%
190 1
 
3.3%
116 1
 
3.3%
0 23
76.7%

뷰티_시청시간(I0004_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.966667
Minimum0
Maximum104
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:07.803922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310.75
95-th percentile58.4
Maximum104
Range104
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation23.969065
Coefficient of variation (CV)2.1856291
Kurtosis9.2870827
Mean10.966667
Median Absolute Deviation (MAD)0
Skewness3.0243109
Sum329
Variance574.51609
MonotonicityNot monotonic
2024-04-18T16:37:07.925465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 18
60.0%
12 2
 
6.7%
7 2
 
6.7%
104 1
 
3.3%
3 1
 
3.3%
80 1
 
3.3%
15 1
 
3.3%
22 1
 
3.3%
5 1
 
3.3%
30 1
 
3.3%
ValueCountFrequency (%)
0 18
60.0%
3 1
 
3.3%
5 1
 
3.3%
7 2
 
6.7%
12 2
 
6.7%
15 1
 
3.3%
22 1
 
3.3%
30 1
 
3.3%
32 1
 
3.3%
80 1
 
3.3%
ValueCountFrequency (%)
104 1
3.3%
80 1
3.3%
32 1
3.3%
30 1
3.3%
22 1
3.3%
15 1
3.3%
12 2
6.7%
7 2
6.7%
5 1
3.3%
3 1
3.3%
Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2129.2
Minimum0
Maximum14399
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:08.035612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median275.5
Q33453.5
95-th percentile8705.25
Maximum14399
Range14399
Interquartile range (IQR)3453.5

Descriptive statistics

Standard deviation3470.3552
Coefficient of variation (CV)1.6298869
Kurtosis5.0844001
Mean2129.2
Median Absolute Deviation (MAD)275.5
Skewness2.190971
Sum63876
Variance12043365
MonotonicityNot monotonic
2024-04-18T16:37:08.150565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 14
46.7%
3440 1
 
3.3%
10602 1
 
3.3%
1481 1
 
3.3%
6387 1
 
3.3%
2031 1
 
3.3%
5936 1
 
3.3%
703 1
 
3.3%
1096 1
 
3.3%
3589 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 14
46.7%
90 1
 
3.3%
461 1
 
3.3%
703 1
 
3.3%
936 1
 
3.3%
1096 1
 
3.3%
1481 1
 
3.3%
2031 1
 
3.3%
3440 1
 
3.3%
3458 1
 
3.3%
ValueCountFrequency (%)
14399 1
3.3%
10602 1
3.3%
6387 1
3.3%
5936 1
3.3%
5257 1
3.3%
4010 1
3.3%
3589 1
3.3%
3458 1
3.3%
3440 1
3.3%
2031 1
3.3%
Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.966667
Minimum0
Maximum373
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:08.263761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3153
95-th percentile318.15
Maximum373
Range373
Interquartile range (IQR)153

Descriptive statistics

Standard deviation111.66807
Coefficient of variation (CV)1.432254
Kurtosis0.92597946
Mean77.966667
Median Absolute Deviation (MAD)0
Skewness1.3508254
Sum2339
Variance12469.757
MonotonicityNot monotonic
2024-04-18T16:37:08.380650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 16
53.3%
158 2
 
6.7%
36 1
 
3.3%
140 1
 
3.3%
90 1
 
3.3%
56 1
 
3.3%
289 1
 
3.3%
373 1
 
3.3%
342 1
 
3.3%
150 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 16
53.3%
5 1
 
3.3%
36 1
 
3.3%
56 1
 
3.3%
90 1
 
3.3%
140 1
 
3.3%
150 1
 
3.3%
154 1
 
3.3%
158 2
 
6.7%
174 1
 
3.3%
ValueCountFrequency (%)
373 1
3.3%
342 1
3.3%
289 1
3.3%
214 1
3.3%
174 1
3.3%
158 2
6.7%
154 1
3.3%
150 1
3.3%
140 1
3.3%
90 1
3.3%
Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14680.167
Minimum0
Maximum194752
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:08.488648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q312371.5
95-th percentile45221.5
Maximum194752
Range194752
Interquartile range (IQR)12371.5

Descriptive statistics

Standard deviation36982.48
Coefficient of variation (CV)2.5192139
Kurtosis20.583619
Mean14680.167
Median Absolute Deviation (MAD)0
Skewness4.2821094
Sum440405
Variance1.3677038 × 109
MonotonicityNot monotonic
2024-04-18T16:37:08.624877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 18
60.0%
51427 1
 
3.3%
12686 1
 
3.3%
6673 1
 
3.3%
11428 1
 
3.3%
836 1
 
3.3%
16511 1
 
3.3%
6309 1
 
3.3%
33219 1
 
3.3%
194752 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 18
60.0%
836 1
 
3.3%
6309 1
 
3.3%
6673 1
 
3.3%
11428 1
 
3.3%
12686 1
 
3.3%
16511 1
 
3.3%
32133 1
 
3.3%
33219 1
 
3.3%
36794 1
 
3.3%
ValueCountFrequency (%)
194752 1
3.3%
51427 1
3.3%
37637 1
3.3%
36794 1
3.3%
33219 1
3.3%
32133 1
3.3%
16511 1
3.3%
12686 1
3.3%
11428 1
3.3%
6673 1
3.3%

스포츠_시청시간(I0006_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean768.86667
Minimum0
Maximum5103
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:08.737393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31088
95-th percentile3322.75
Maximum5103
Range5103
Interquartile range (IQR)1088

Descriptive statistics

Standard deviation1295.4986
Coefficient of variation (CV)1.6849458
Kurtosis3.5436501
Mean768.86667
Median Absolute Deviation (MAD)0
Skewness1.9538792
Sum23066
Variance1678316.7
MonotonicityNot monotonic
2024-04-18T16:37:08.836969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 17
56.7%
2434 1
 
3.3%
3133 1
 
3.3%
103 1
 
3.3%
992 1
 
3.3%
3478 1
 
3.3%
1831 1
 
3.3%
5103 1
 
3.3%
1120 1
 
3.3%
2159 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 17
56.7%
103 1
 
3.3%
269 1
 
3.3%
608 1
 
3.3%
655 1
 
3.3%
992 1
 
3.3%
1120 1
 
3.3%
1181 1
 
3.3%
1831 1
 
3.3%
2159 1
 
3.3%
ValueCountFrequency (%)
5103 1
3.3%
3478 1
3.3%
3133 1
3.3%
2434 1
3.3%
2159 1
3.3%
1831 1
3.3%
1181 1
3.3%
1120 1
3.3%
992 1
3.3%
655 1
3.3%

먹방_시청채널수(I0007_N_CST)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12598.6
Minimum0
Maximum93817
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:08.939086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313561.25
95-th percentile64611.85
Maximum93817
Range93817
Interquartile range (IQR)13561.25

Descriptive statistics

Standard deviation23922.578
Coefficient of variation (CV)1.8988282
Kurtosis4.3950981
Mean12598.6
Median Absolute Deviation (MAD)0
Skewness2.2018822
Sum377958
Variance5.7228972 × 108
MonotonicityNot monotonic
2024-04-18T16:37:09.031070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 16
53.3%
8846 1
 
3.3%
44070 1
 
3.3%
25925 1
 
3.3%
67531 1
 
3.3%
1914 1
 
3.3%
132 1
 
3.3%
6702 1
 
3.3%
664 1
 
3.3%
93817 1
 
3.3%
Other values (5) 5
 
16.7%
ValueCountFrequency (%)
0 16
53.3%
132 1
 
3.3%
664 1
 
3.3%
1914 1
 
3.3%
2139 1
 
3.3%
6702 1
 
3.3%
8846 1
 
3.3%
15133 1
 
3.3%
20410 1
 
3.3%
25925 1
 
3.3%
ValueCountFrequency (%)
93817 1
3.3%
67531 1
3.3%
61044 1
3.3%
44070 1
3.3%
29631 1
3.3%
25925 1
3.3%
20410 1
3.3%
15133 1
3.3%
8846 1
3.3%
6702 1
3.3%

먹방_시청시간(I0007_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389.86667
Minimum0
Maximum2354
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:09.489364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3613.25
95-th percentile1714.8
Maximum2354
Range2354
Interquartile range (IQR)613.25

Descriptive statistics

Standard deviation636.72788
Coefficient of variation (CV)1.633194
Kurtosis3.614311
Mean389.86667
Median Absolute Deviation (MAD)0
Skewness1.9540055
Sum11696
Variance405422.4
MonotonicityNot monotonic
2024-04-18T16:37:09.579169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 17
56.7%
2354 1
 
3.3%
621 1
 
3.3%
19 1
 
3.3%
892 1
 
3.3%
340 1
 
3.3%
1077 1
 
3.3%
415 1
 
3.3%
286 1
 
3.3%
1112 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 17
56.7%
19 1
 
3.3%
286 1
 
3.3%
340 1
 
3.3%
415 1
 
3.3%
590 1
 
3.3%
621 1
 
3.3%
799 1
 
3.3%
892 1
 
3.3%
983 1
 
3.3%
ValueCountFrequency (%)
2354 1
3.3%
2208 1
3.3%
1112 1
3.3%
1077 1
3.3%
983 1
3.3%
892 1
3.3%
799 1
3.3%
621 1
3.3%
590 1
3.3%
415 1
3.3%
Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1489.0333
Minimum0
Maximum9281
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:09.674080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3901.5
95-th percentile7609.6
Maximum9281
Range9281
Interquartile range (IQR)901.5

Descriptive statistics

Standard deviation2920.4641
Coefficient of variation (CV)1.9613155
Kurtosis1.6419434
Mean1489.0333
Median Absolute Deviation (MAD)0
Skewness1.7971962
Sum44671
Variance8529110.5
MonotonicityNot monotonic
2024-04-18T16:37:09.776464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 18
60.0%
8 1
 
3.3%
7624 1
 
3.3%
9281 1
 
3.3%
6869 1
 
3.3%
7592 1
 
3.3%
2927 1
 
3.3%
30 1
 
3.3%
1513 1
 
3.3%
438 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 18
60.0%
8 1
 
3.3%
30 1
 
3.3%
80 1
 
3.3%
438 1
 
3.3%
1056 1
 
3.3%
1513 1
 
3.3%
2927 1
 
3.3%
6869 1
 
3.3%
7253 1
 
3.3%
ValueCountFrequency (%)
9281 1
3.3%
7624 1
3.3%
7592 1
3.3%
7253 1
3.3%
6869 1
3.3%
2927 1
3.3%
1513 1
3.3%
1056 1
3.3%
438 1
3.3%
80 1
3.3%
Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.166667
Minimum0
Maximum746
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:09.869061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q382.25
95-th percentile481.05
Maximum746
Range746
Interquartile range (IQR)82.25

Descriptive statistics

Standard deviation178.03023
Coefficient of variation (CV)2.0661149
Kurtosis7.2857713
Mean86.166667
Median Absolute Deviation (MAD)0
Skewness2.7180562
Sum2585
Variance31694.764
MonotonicityNot monotonic
2024-04-18T16:37:09.975052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 16
53.3%
376 1
 
3.3%
167 1
 
3.3%
33 1
 
3.3%
567 1
 
3.3%
17 1
 
3.3%
59 1
 
3.3%
5 1
 
3.3%
90 1
 
3.3%
96 1
 
3.3%
Other values (5) 5
 
16.7%
ValueCountFrequency (%)
0 16
53.3%
5 1
 
3.3%
17 1
 
3.3%
27 1
 
3.3%
33 1
 
3.3%
48 1
 
3.3%
59 1
 
3.3%
90 1
 
3.3%
96 1
 
3.3%
119 1
 
3.3%
ValueCountFrequency (%)
746 1
3.3%
567 1
3.3%
376 1
3.3%
235 1
3.3%
167 1
3.3%
119 1
3.3%
96 1
3.3%
90 1
3.3%
59 1
3.3%
48 1
3.3%
Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3765.7333
Minimum0
Maximum65062
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:10.080287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31804.75
95-th percentile10056.55
Maximum65062
Range65062
Interquartile range (IQR)1804.75

Descriptive statistics

Standard deviation11970.671
Coefficient of variation (CV)3.1788418
Kurtosis25.843251
Mean3765.7333
Median Absolute Deviation (MAD)0
Skewness4.9523707
Sum112972
Variance1.4329695 × 108
MonotonicityNot monotonic
2024-04-18T16:37:10.174807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 16
53.3%
65062 1
 
3.3%
11893 1
 
3.3%
7228 1
 
3.3%
7812 1
 
3.3%
1396 1
 
3.3%
262 1
 
3.3%
2018 1
 
3.3%
555 1
 
3.3%
1558 1
 
3.3%
Other values (5) 5
 
16.7%
ValueCountFrequency (%)
0 16
53.3%
7 1
 
3.3%
262 1
 
3.3%
555 1
 
3.3%
627 1
 
3.3%
1396 1
 
3.3%
1558 1
 
3.3%
1887 1
 
3.3%
2018 1
 
3.3%
5980 1
 
3.3%
ValueCountFrequency (%)
65062 1
3.3%
11893 1
3.3%
7812 1
3.3%
7228 1
3.3%
6687 1
3.3%
5980 1
3.3%
2018 1
3.3%
1887 1
3.3%
1558 1
3.3%
1396 1
3.3%
Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.366667
Minimum0
Maximum744
Zeros23
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:10.267248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile323.05
Maximum744
Range744
Interquartile range (IQR)0

Descriptive statistics

Standard deviation159.12508
Coefficient of variation (CV)3.0386712
Kurtosis13.708123
Mean52.366667
Median Absolute Deviation (MAD)0
Skewness3.6538007
Sum1571
Variance25320.792
MonotonicityNot monotonic
2024-04-18T16:37:10.373170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 23
76.7%
152 1
 
3.3%
1 1
 
3.3%
744 1
 
3.3%
6 1
 
3.3%
463 1
 
3.3%
55 1
 
3.3%
150 1
 
3.3%
ValueCountFrequency (%)
0 23
76.7%
1 1
 
3.3%
6 1
 
3.3%
55 1
 
3.3%
150 1
 
3.3%
152 1
 
3.3%
463 1
 
3.3%
744 1
 
3.3%
ValueCountFrequency (%)
744 1
 
3.3%
463 1
 
3.3%
152 1
 
3.3%
150 1
 
3.3%
55 1
 
3.3%
6 1
 
3.3%
1 1
 
3.3%
0 23
76.7%

키즈_시청채널수(I0010_N_CST)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7588
Minimum0
Maximum92075
Zeros21
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:10.469253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35286
95-th percentile35060.55
Maximum92075
Range92075
Interquartile range (IQR)5286

Descriptive statistics

Standard deviation18699.885
Coefficient of variation (CV)2.4644023
Kurtosis14.783515
Mean7588
Median Absolute Deviation (MAD)0
Skewness3.6047773
Sum227640
Variance3.4968569 × 108
MonotonicityNot monotonic
2024-04-18T16:37:10.555790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 21
70.0%
15408 1
 
3.3%
843 1
 
3.3%
6767 1
 
3.3%
92075 1
 
3.3%
38031 1
 
3.3%
20330 1
 
3.3%
31430 1
 
3.3%
11186 1
 
3.3%
11570 1
 
3.3%
ValueCountFrequency (%)
0 21
70.0%
843 1
 
3.3%
6767 1
 
3.3%
11186 1
 
3.3%
11570 1
 
3.3%
15408 1
 
3.3%
20330 1
 
3.3%
31430 1
 
3.3%
38031 1
 
3.3%
92075 1
 
3.3%
ValueCountFrequency (%)
92075 1
 
3.3%
38031 1
 
3.3%
31430 1
 
3.3%
20330 1
 
3.3%
15408 1
 
3.3%
11570 1
 
3.3%
11186 1
 
3.3%
6767 1
 
3.3%
843 1
 
3.3%
0 21
70.0%

키즈_시청시간(I0010_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean933.66667
Minimum0
Maximum10066
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:10.646746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3220.5
95-th percentile4608.65
Maximum10066
Range10066
Interquartile range (IQR)220.5

Descriptive statistics

Standard deviation2196.0964
Coefficient of variation (CV)2.3521204
Kurtosis10.271702
Mean933.66667
Median Absolute Deviation (MAD)0
Skewness3.041032
Sum28010
Variance4822839.3
MonotonicityNot monotonic
2024-04-18T16:37:10.765769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 20
66.7%
613 1
 
3.3%
5393 1
 
3.3%
78 1
 
3.3%
3650 1
 
3.3%
28 1
 
3.3%
1859 1
 
3.3%
268 1
 
3.3%
3171 1
 
3.3%
2884 1
 
3.3%
ValueCountFrequency (%)
0 20
66.7%
28 1
 
3.3%
78 1
 
3.3%
268 1
 
3.3%
613 1
 
3.3%
1859 1
 
3.3%
2884 1
 
3.3%
3171 1
 
3.3%
3650 1
 
3.3%
5393 1
 
3.3%
ValueCountFrequency (%)
10066 1
3.3%
5393 1
3.3%
3650 1
3.3%
3171 1
3.3%
2884 1
3.3%
1859 1
3.3%
613 1
3.3%
268 1
3.3%
78 1
3.3%
28 1
3.3%
Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4660.6333
Minimum0
Maximum38892
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:10.859382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32970.25
95-th percentile25022.55
Maximum38892
Range38892
Interquartile range (IQR)2970.25

Descriptive statistics

Standard deviation9660.4302
Coefficient of variation (CV)2.072772
Kurtosis5.4222243
Mean4660.6333
Median Absolute Deviation (MAD)0
Skewness2.3917034
Sum139819
Variance93323912
MonotonicityNot monotonic
2024-04-18T16:37:10.962183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 20
66.7%
3037 1
 
3.3%
7719 1
 
3.3%
7300 1
 
3.3%
515 1
 
3.3%
21128 1
 
3.3%
17933 1
 
3.3%
12316 1
 
3.3%
38892 1
 
3.3%
28209 1
 
3.3%
ValueCountFrequency (%)
0 20
66.7%
515 1
 
3.3%
2770 1
 
3.3%
3037 1
 
3.3%
7300 1
 
3.3%
7719 1
 
3.3%
12316 1
 
3.3%
17933 1
 
3.3%
21128 1
 
3.3%
28209 1
 
3.3%
ValueCountFrequency (%)
38892 1
3.3%
28209 1
3.3%
21128 1
3.3%
17933 1
3.3%
12316 1
3.3%
7719 1
3.3%
7300 1
3.3%
3037 1
3.3%
2770 1
3.3%
515 1
3.3%

홈쇼핑_시청시간(I0011_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean593.26667
Minimum0
Maximum4343
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:11.097225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3418.25
95-th percentile2933.5
Maximum4343
Range4343
Interquartile range (IQR)418.25

Descriptive statistics

Standard deviation1119.0717
Coefficient of variation (CV)1.8862879
Kurtosis3.9288003
Mean593.26667
Median Absolute Deviation (MAD)0
Skewness2.1222515
Sum17798
Variance1252321.6
MonotonicityNot monotonic
2024-04-18T16:37:11.191584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 17
56.7%
1299 1
 
3.3%
393 1
 
3.3%
420 1
 
3.3%
2862 1
 
3.3%
413 1
 
3.3%
4343 1
 
3.3%
66 1
 
3.3%
2214 1
 
3.3%
68 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 17
56.7%
66 1
 
3.3%
68 1
 
3.3%
174 1
 
3.3%
393 1
 
3.3%
413 1
 
3.3%
420 1
 
3.3%
787 1
 
3.3%
1299 1
 
3.3%
1767 1
 
3.3%
ValueCountFrequency (%)
4343 1
3.3%
2992 1
3.3%
2862 1
3.3%
2214 1
3.3%
1767 1
3.3%
1299 1
3.3%
787 1
3.3%
420 1
3.3%
413 1
3.3%
393 1
3.3%
Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.666667
Minimum0
Maximum435
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:11.285426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.5
Q3128.25
95-th percentile335.75
Maximum435
Range435
Interquartile range (IQR)128.25

Descriptive statistics

Standard deviation113.88268
Coefficient of variation (CV)1.4294897
Kurtosis3.0497119
Mean79.666667
Median Absolute Deviation (MAD)12.5
Skewness1.7971186
Sum2390
Variance12969.264
MonotonicityNot monotonic
2024-04-18T16:37:11.384994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 15
50.0%
93 1
 
3.3%
148 1
 
3.3%
140 1
 
3.3%
63 1
 
3.3%
134 1
 
3.3%
25 1
 
3.3%
111 1
 
3.3%
311 1
 
3.3%
108 1
 
3.3%
Other values (6) 6
 
20.0%
ValueCountFrequency (%)
0 15
50.0%
25 1
 
3.3%
63 1
 
3.3%
79 1
 
3.3%
93 1
 
3.3%
104 1
 
3.3%
108 1
 
3.3%
111 1
 
3.3%
134 1
 
3.3%
137 1
 
3.3%
ValueCountFrequency (%)
435 1
3.3%
356 1
3.3%
311 1
3.3%
148 1
3.3%
146 1
3.3%
140 1
3.3%
137 1
3.3%
134 1
3.3%
111 1
3.3%
108 1
3.3%
Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4972377 × 108
Minimum0
Maximum9.4242095 × 108
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:11.484207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.4842484 × 108
Q34.7047077 × 108
95-th percentile6.2703419 × 108
Maximum9.4242095 × 108
Range9.4242095 × 108
Interquartile range (IQR)4.7047077 × 108

Descriptive statistics

Standard deviation2.6148633 × 108
Coefficient of variation (CV)1.0471023
Kurtosis-0.1755643
Mean2.4972377 × 108
Median Absolute Deviation (MAD)2.4842484 × 108
Skewness0.72896157
Sum7.4917131 × 109
Variance6.8375103 × 1016
MonotonicityNot monotonic
2024-04-18T16:37:11.589673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 12
40.0%
482695910.03 1
 
3.3%
526803104.995 1
 
3.3%
249287297.0 1
 
3.3%
113045819.0 1
 
3.3%
544496326.961 1
 
3.3%
942420948.013 1
 
3.3%
501808068.998 1
 
3.3%
513373878.971 1
 
3.3%
676280959.014 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0.0 12
40.0%
79167810.996 1
 
3.3%
113045819.0 1
 
3.3%
247562374.986 1
 
3.3%
249287297.0 1
 
3.3%
265481721.0 1
 
3.3%
288634455.011 1
 
3.3%
302996604.015 1
 
3.3%
348827304.016 1
 
3.3%
408191475.0 1
 
3.3%
ValueCountFrequency (%)
942420948.013 1
3.3%
676280959.014 1
3.3%
566843690.982 1
3.3%
544496326.961 1
3.3%
526803104.995 1
3.3%
513373878.971 1
3.3%
501808068.998 1
3.3%
482695910.03 1
3.3%
433795350.0 1
3.3%
408191475.0 1
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean414.93333
Minimum0
Maximum2135
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:11.691041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145.25
median276.5
Q3623.5
95-th percentile1143.7
Maximum2135
Range2135
Interquartile range (IQR)578.25

Descriptive statistics

Standard deviation485.02946
Coefficient of variation (CV)1.1689335
Kurtosis4.1948452
Mean414.93333
Median Absolute Deviation (MAD)276.5
Skewness1.7784952
Sum12448
Variance235253.58
MonotonicityNot monotonic
2024-04-18T16:37:11.800001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 6
 
20.0%
556 1
 
3.3%
120 1
 
3.3%
52 1
 
3.3%
2135 1
 
3.3%
1015 1
 
3.3%
715 1
 
3.3%
991 1
 
3.3%
126 1
 
3.3%
676 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 6
20.0%
31 1
 
3.3%
43 1
 
3.3%
52 1
 
3.3%
56 1
 
3.3%
101 1
 
3.3%
103 1
 
3.3%
120 1
 
3.3%
126 1
 
3.3%
237 1
 
3.3%
ValueCountFrequency (%)
2135 1
3.3%
1249 1
3.3%
1015 1
3.3%
991 1
3.3%
877 1
3.3%
715 1
3.3%
676 1
3.3%
625 1
3.3%
619 1
3.3%
556 1
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1494791 × 108
Minimum0
Maximum1.379533 × 109
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:11.914954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q159465232
median3.5947869 × 108
Q37.2652649 × 108
95-th percentile8.575791 × 108
Maximum1.379533 × 109
Range1.379533 × 109
Interquartile range (IQR)6.6706126 × 108

Descriptive statistics

Standard deviation3.5700339 × 108
Coefficient of variation (CV)0.8603571
Kurtosis0.016629782
Mean4.1494791 × 108
Median Absolute Deviation (MAD)3.3648024 × 108
Skewness0.63895693
Sum1.2448437 × 1010
Variance1.2745142 × 1017
MonotonicityNot monotonic
2024-04-18T16:37:12.025211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 6
 
20.0%
830665501.934 1
 
3.3%
832026402.008 1
 
3.3%
45996901.996 1
 
3.3%
291390337.0 1
 
3.3%
190285453.995 1
 
3.3%
359619494.989 1
 
3.3%
386629759.024 1
 
3.3%
723268548.036 1
 
3.3%
780017825.977 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0.0 6
20.0%
45996901.996 1
 
3.3%
53680526.003 1
 
3.3%
76819348.012 1
 
3.3%
190285453.995 1
 
3.3%
247968347.005 1
 
3.3%
291390337.0 1
 
3.3%
297548778.994 1
 
3.3%
344320526.981 1
 
3.3%
359337893.9863 1
 
3.3%
ValueCountFrequency (%)
1379533045.912 1
3.3%
878485852.0797 1
3.3%
832026402.008 1
3.3%
830665501.934 1
3.3%
819463409.935 1
3.3%
780559584.957 1
3.3%
780017825.977 1
3.3%
727612466.979 1
3.3%
723268548.036 1
3.3%
586759091.042 1
3.3%
Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean626.23333
Minimum0
Maximum3317
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:12.136743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175.25
median540.5
Q3807
95-th percentile1670.05
Maximum3317
Range3317
Interquartile range (IQR)731.75

Descriptive statistics

Standard deviation694.15077
Coefficient of variation (CV)1.1084539
Kurtosis7.1427648
Mean626.23333
Median Absolute Deviation (MAD)418
Skewness2.2539864
Sum18787
Variance481845.29
MonotonicityNot monotonic
2024-04-18T16:37:12.250587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 6
 
20.0%
106 1
 
3.3%
1237 1
 
3.3%
436 1
 
3.3%
65 1
 
3.3%
942 1
 
3.3%
811 1
 
3.3%
337 1
 
3.3%
638 1
 
3.3%
91 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 6
20.0%
65 1
 
3.3%
70 1
 
3.3%
91 1
 
3.3%
106 1
 
3.3%
337 1
 
3.3%
436 1
 
3.3%
469 1
 
3.3%
513 1
 
3.3%
534 1
 
3.3%
ValueCountFrequency (%)
3317 1
3.3%
1972 1
3.3%
1301 1
3.3%
1237 1
3.3%
981 1
3.3%
942 1
3.3%
846 1
3.3%
811 1
3.3%
795 1
3.3%
793 1
3.3%
Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2461425 × 109
Minimum0
Maximum1.4423775 × 1010
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-18T16:37:12.358939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113073983
median2.3287835 × 109
Q33.9409286 × 109
95-th percentile1.2122963 × 1010
Maximum1.4423775 × 1010
Range1.4423775 × 1010
Interquartile range (IQR)3.9278546 × 109

Descriptive statistics

Standard deviation4.0031141 × 109
Coefficient of variation (CV)1.2331911
Kurtosis1.6862891
Mean3.2461425 × 109
Median Absolute Deviation (MAD)2.2355826 × 109
Skewness1.513207
Sum9.7384274 × 1010
Variance1.6024923 × 1019
MonotonicityNot monotonic
2024-04-18T16:37:12.468444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 8
26.7%
2121151617.504 1
 
3.3%
14423775153.533 1
 
3.3%
3552890662.948 1
 
3.3%
12798553089.855 1
 
3.3%
1475525940.988 1
 
3.3%
8323809035.329 1
 
3.3%
769477680.004 1
 
3.3%
11297240724.491 1
 
3.3%
2580261881.509 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0.0 8
26.7%
52295931.6613 1
 
3.3%
134105786.0 1
 
3.3%
221992354.4426 1
 
3.3%
769477680.004 1
 
3.3%
1229192280.0 1
 
3.3%
1475525940.988 1
 
3.3%
2121151617.504 1
 
3.3%
2536415353.383 1
 
3.3%
2580261881.509 1
 
3.3%
ValueCountFrequency (%)
14423775153.533 1
3.3%
12798553089.855 1
3.3%
11297240724.491 1
3.3%
8323809035.329 1
3.3%
7217587437.0 1
3.3%
6574424706.088 1
3.3%
4356440287.83 1
3.3%
4047106423.837 1
3.3%
3622394960.704 1
3.3%
3552890662.948 1
3.3%

Sample

그리드코드(GRID50_ID)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)
0G*0*0*8*0*1*0*1*1701111423020107100511915103100161811217107131086002412104267217171561113024004194641303100400200100100000020350060260132012014600000110003007128520420010270214017111114411314951261267102467930015622010221054003440158000235480650620000129900.00830665501.9341062121151617.504
1G*0*1*5*8*1*0*8*78120212000000932149016811260238061382103771100211904480025039008213200001807619001000000000100001010100100020259014303602020002000000118195000003120602304222401641921081644839081037000000014399158008846076243760152000393108482695910.03556780559584.95707217587437.0
2G*0*0*6*0*1*0*0*44001020000002902102851515270000173113150253231300150261101661251134013913190300010000200000050001023122947014801401810000000100071054256000634022906732618431250190552735411731311491225956181001160036514270440700928116711893000303742079566843690.98231727612466.97906574424706.088
3G*0*1*0*6*1*0*1*312000318000102110412631268160111114113530003463300162103412051211702850220092864806000300000000000010011510020001140480341400000001020227308148003712050034022120708531166301428735333794156404050000901400025925000011540861377192862356247562374.986316344320526.9818463168353829.127
4G*0*1*5*9*1*0*4*6200002250102021031920244220071030013510005047097080285241591102309003107191002003001042000000000005100516140135011014288000110000007116211600163806440330292421730381126212802387992705511910400000052579002434062103307440539304131370.000.07733511900654.0
5G*0*1*7*3*1*0*9*77072049030201670039386744006119108141351215140000003010122473472112300247118000000000000010000010004241011100000100237900002000000191123000340043043207413124313228380201970150133660244000190104056000190072280843004343146433795350.0479586759091.042534134105786.0
6G*0*1*6*8*1*0*1*27002044000002850201172630100015052100415270800210023102095856002014661018417790160101000111000100100110200302010500029215000000303000537135004370421601220275270062111494665038214323028510500122300300006753189200781200006643579167810.9966190.05920.0
7G*0*1*1*0*1*0*9*71504021010100040055141312400141439081131151330232501213006365613121352820690514000100000000010000000001000902201201002450050000000289148145001590018300303711271273740852251310571840299656632297115465539093601268600340686900000730000265481721.05653680526.0035470.0
8G*0*1*0*4*1*0*3*25002017500020000606505110000223811711700001309113117705142101813008151301807070300001002201100030001111524070021011004000000001861227634002201710018670101184141045635846525713032113122003080000401028903133010777592000078001040.000.019724047106423.837
9G*0*1*6*3*1*0*1*115022001501000510326105672402340301171021344002300342112290327363231505124322000101002000003000000000200115410303602021830004201000139287610035280184066721135034902398281722261110122212272802864770120001031914029275670067673650022140288634455.011625462620982.02933173369377852.83
그리드코드(GRID50_ID)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)
20G*0*0*5*2*1*0*0*420121320002091020125541400712712000015232130290211056001478152123050042454300301060000000000010400002000725705803002130000200020430475272900130046130219142331403151019198536318702215281306051800000005900059800000000.0101465411454.98586211229192280.0
21G*0*1*8*9*1*0*4*123252120000031001322170469001401033651111150012220104382026222161287030141421110407200000510000000200000001182900100120159009000000123527512050052500903501224343221171033524926199117632816678327246203915021433219029631009076380312683889201340.067676819348.012912580261881.509
22G*0*2*2*8*1*0*4*670332337000003242180221239171044156030012360411113323033050022400622158001317147003000100000000100320010000072579003303201210800050000002028299700213708003044031133001291281273740752012902958814021960030000000096046300017670942420948.0131260.06380.0
23G*0*0*7*9*1*0*0*3102161216010007021401311312001911601130315122320921201050101353541230380071462870301000001001000000000002003604601540250401340000100010074613534003901059017412886472421281663301111213721411721616868670007030011810000000317100630.0991780017825.97733711297240724.490999
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