Overview

Dataset statistics

Number of variables169
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.6 KiB
Average record size in memory1.5 KiB

Variable types

Text2
Numeric69
Categorical98

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
아웃도어가구(C01_11) has constant value ""Constant
이미용가구(C01_12) has constant value ""Constant
학습기기(C03_17) has constant value ""Constant
건강용품(C04_02) has constant value ""Constant
유아생활용품(C04_17) has constant value ""Constant
유아위생용품(C04_18) has constant value ""Constant
검도(C05_01) has constant value ""Constant
권투(C05_03) has constant value ""Constant
농구(C05_05) has constant value ""Constant
무술(C05_07) has constant value ""Constant
배구(C05_08) has constant value ""Constant
배드민턴(C05_09) has constant value ""Constant
볼링(C05_10) has constant value ""Constant
스쿼시(C05_13)_ has constant value ""Constant
스포츠레저기타(C05_16) has constant value ""Constant
스포츠액세서리(C05_17) has constant value ""Constant
요가/필라테스(C05_20) has constant value ""Constant
인라인스케이트(C05_21) has constant value ""Constant
족구(C05_23) has constant value ""Constant
테니스(C05_27) 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
기저귀(C07_01) has constant value ""Constant
유모차/보행기/유아발육용품(C07_04) has constant value ""Constant
유아위생용품(C07_06) has constant value ""Constant
유아잡화(C07_07) has constant value ""Constant
임산부용품(C07_08) 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
가구/인테리어기타(C01_02) is highly imbalanced (64.7%)Imbalance
거실가구(C01_03) is highly imbalanced (73.5%)Imbalance
솜류(C01_05) is highly imbalanced (78.9%)Imbalance
수예(C01_07) is highly imbalanced (51.4%)Imbalance
아동가구/주니어가구(C01_09) is highly imbalanced (64.6%)Imbalance
주방가구(C01_14) is highly imbalanced (78.9%)Imbalance
침실가구(C01_15) is highly imbalanced (51.4%)Imbalance
광학기기/광학용품(C03_03) is highly imbalanced (64.7%)Imbalance
네트워크장비(C03_04) is highly imbalanced (64.7%)Imbalance
멀티미디어장비(C03_06) is highly imbalanced (78.9%)Imbalance
자동차기기(C03_11) is highly imbalanced (64.7%)Imbalance
저장장치(C03_12) is highly imbalanced (56.1%)Imbalance
태블릿PC액세서리(C03_16) is highly imbalanced (78.9%)Imbalance
관상어용품(C04_04) is highly imbalanced (53.1%)Imbalance
눈건강용품(C04_06) is highly imbalanced (64.7%)Imbalance
목욕용품(C04_07) is highly imbalanced (64.6%)Imbalance
골프(C05_02) is highly imbalanced (56.1%)Imbalance
낚시(C05_04) is highly imbalanced (64.7%)Imbalance
등산(C05_06) is highly imbalanced (78.9%)Imbalance
수영(C05_11) is highly imbalanced (64.6%)Imbalance
스테이트/보드/롤러(C05_12) is highly imbalanced (78.9%)Imbalance
스키/스노우보드(C05_14) is highly imbalanced (64.7%)Imbalance
스킨스쿠버(C05_15) is highly imbalanced (64.7%)Imbalance
야구(C05_18) is highly imbalanced (78.9%)Imbalance
오토바이/스쿠터(C05_19) is highly imbalanced (78.9%)Imbalance
자전거(C05_22) is highly imbalanced (64.6%)Imbalance
축구(C05_24) is highly imbalanced (53.1%)Imbalance
캠핑(C05_25) is highly imbalanced (53.1%)Imbalance
탁구(C05_26) is highly imbalanced (78.9%)Imbalance
분유/이유식(C07_02) is highly imbalanced (53.1%)Imbalance
수유용품(C07_03) is highly imbalanced (51.4%)Imbalance
유아안전용품(C07_05) is highly imbalanced (64.7%)Imbalance
출산/육아기타(C07_09) is highly imbalanced (64.7%)Imbalance
네일메이크업(C10_02) is highly imbalanced (64.6%)Imbalance
유아화장품(C10_06) is highly imbalanced (51.4%)Imbalance
뷰티_시청채널수(I0004_N_CST) is highly imbalanced (51.4%)Imbalance
대중음악_시청시간I0008_VIEW_TM) is highly imbalanced (64.1%)Imbalance
수납가구(C01_06) has 18 (60.0%) zerosZeros
인테리어소품(C01_13) has 14 (46.7%) zerosZeros
침실제품(C01_16) has 16 (53.3%) zerosZeros
도서/음반(C02_01) has 6 (20.0%) zerosZeros
계절가전(C03_02) has 11 (36.7%) zerosZeros
디지털/가전기타(C03_05) has 16 (53.3%) zerosZeros
음향가전(C03_09) has 12 (40.0%) zerosZeros
주방가전(C03_13) has 9 (30.0%) zerosZeros
컴퓨터(C03_15) has 13 (43.3%) zerosZeros
휴대폰(C03_18) has 11 (36.7%) zerosZeros
건강관리/건강측정(C04_01) has 9 (30.0%) zerosZeros
공구(C04_03) has 11 (36.7%) zerosZeros
구강위생용품(C04_05) has 15 (50.0%) zerosZeros
문구/사무용품(C04_08) has 12 (40.0%) zerosZeros
생활용품(C04_10) has 7 (23.3%) zerosZeros
악기(C04_13) has 14 (46.7%) zerosZeros
애완(C04_14) has 11 (36.7%) zerosZeros
욕실용품(C04_16) has 16 (53.3%) zerosZeros
주방용품(C04_22) has 7 (23.3%) zerosZeros
가공식품(C06_01) has 3 (10.0%) zerosZeros
건강식품(C06_02) has 6 (20.0%) zerosZeros
과자/간식/음료(C06_04) has 1 (3.3%) zerosZeros
식품기타(C06_08) has 10 (33.3%) zerosZeros
신선식품(C06_09) has 5 (16.7%) zerosZeros
언더웨어/잠옷(C08_01) has 10 (33.3%) zerosZeros
의류(C08_02) has 5 (16.7%) zerosZeros
패션의류기타(C08_03) has 5 (16.7%) zerosZeros
가방/지갑(C09_01) has 8 (26.7%) zerosZeros
신발(C09_04) has 9 (30.0%) zerosZeros
액세서리(C09_05) has 12 (40.0%) zerosZeros
패션소품(C09_07) has 6 (20.0%) zerosZeros
기초화장품(C10_01) has 4 (13.3%) zerosZeros
바디용품(C10_03) has 14 (46.7%) zerosZeros
색조화장품(C10_05) has 12 (40.0%) zerosZeros
헤어용품(C10_08) has 5 (16.7%) zerosZeros
가구/인테리어(C01) has 5 (16.7%) zerosZeros
도서/음반(C02) has 3 (10.0%) zerosZeros
디지털/가전(C03) has 2 (6.7%) zerosZeros
생활건강(C04) has 2 (6.7%) zerosZeros
스포츠/레저(C05) has 15 (50.0%) zerosZeros
패션의류(C08) has 3 (10.0%) zerosZeros
패션잡화(C09) has 7 (23.3%) zerosZeros
화장품/미용(C10) has 7 (23.3%) zerosZeros
홈스토리_시청채널수(I0001_N_CST) has 18 (60.0%) zerosZeros
홈스토리_시청시간(I0001_VIEW_TM) has 17 (56.7%) zerosZeros
영화_시청채널수(I0003_N_CST) has 21 (70.0%) zerosZeros
영화_시청시간(I0003_VIEW_TM) has 17 (56.7%) zerosZeros
뷰티_시청시간(I0004_VIEW_TM) has 24 (80.0%) zerosZeros
생활건강_시청채널수(I0005_N_CST) has 22 (73.3%) zerosZeros
생활건강_시청시간(I0005_VIEW_TM) has 20 (66.7%) zerosZeros
스포츠_시청채널수(I0006_N_CST) has 20 (66.7%) zerosZeros
스포츠_시청시간(I0006_VIEW_TM) has 17 (56.7%) zerosZeros
먹방_시청채널수(I0007_N_CST) has 15 (50.0%) zerosZeros
먹방_시청시간(I0007_VIEW_TM) has 21 (70.0%) zerosZeros
대중음악_시청채널수(I0008_N_CST) has 23 (76.7%) zerosZeros
육아_예능_시청채널수(I0009_N_CST) has 22 (73.3%) zerosZeros
육아_예능_시청시간(I0009_VIEW_TM) has 19 (63.3%) zerosZeros
키즈_시청채널수(I0010_N_CST) has 18 (60.0%) zerosZeros
키즈_시청시간(I0010_VIEW_TM) has 13 (43.3%) zerosZeros
홈쇼핑_시청채널수(I0011_N_CST) has 22 (73.3%) zerosZeros
홈쇼핑_시청시간(I0011_VIEW_TM) has 20 (66.7%) zerosZeros
총수신평잔_총액(DEP_TOT_AVJN_TOT) has 14 (46.7%) zerosZeros
총수신평잔_건수(DEP_TOT_AVJN_N) has 16 (53.3%) zerosZeros
유동성급여_유동성연금_입금_건수(I_PAY_PENS_AMT_N) has 8 (26.7%) zerosZeros
유동성급여_유동성연금_입금_총액(I_PAY_PENS_AMT_TOT) has 7 (23.3%) zerosZeros
신용카드_체크카드_현금소비_현금인출_건수(C_TOT_AMT_N) has 8 (26.7%) zerosZeros
신용카드_체크카드_현금소비_현금인출_총액(C_TOT_AMT_TOT) has 6 (20.0%) zerosZeros

Reproduction

Analysis started2023-12-10 14:57:13.945731
Analysis finished2023-12-10 14:57:16.407136
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

그리드코드(GRID50_ID)
Text

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:57:16.633126image/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

Unique22 ?
Unique (%)73.3%

Sample

1st rowG*0*0*9*2*
2nd rowG*0*0*9*2*
3rd rowG*0*0*0*2*
4th rowG*0*1*6*8*
5th rowG*0*1*7*6*
ValueCountFrequency (%)
g*0*0*9*2 2
 
6.7%
g*0*1*5*8 2
 
6.7%
g*0*1*7*6 2
 
6.7%
g*0*0*4*7 2
 
6.7%
g*0*1*2*3 1
 
3.3%
g*0*1*7*7 1
 
3.3%
g*0*1*8*3 1
 
3.3%
g*0*1*8*0 1
 
3.3%
g*0*2*5*1 1
 
3.3%
g*0*1*9*5 1
 
3.3%
Other values (16) 16
53.3%
2023-12-10T23:57:17.087122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 150
50.0%
0 46
 
15.3%
G 30
 
10.0%
1 20
 
6.7%
2 9
 
3.0%
9 8
 
2.7%
8 8
 
2.7%
4 7
 
2.3%
7 7
 
2.3%
5 6
 
2.0%
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 46
38.3%
1 20
16.7%
2 9
 
7.5%
9 8
 
6.7%
8 8
 
6.7%
4 7
 
5.8%
7 7
 
5.8%
5 6
 
5.0%
3 5
 
4.2%
6 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 46
 
17.0%
1 20
 
7.4%
2 9
 
3.3%
9 8
 
3.0%
8 8
 
3.0%
4 7
 
2.6%
7 7
 
2.6%
5 6
 
2.2%
3 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 46
 
15.3%
G 30
 
10.0%
1 20
 
6.7%
2 9
 
3.0%
9 8
 
2.7%
8 8
 
2.7%
4 7
 
2.3%
7 7
 
2.3%
5 6
 
2.0%
Other values (2) 9
 
3.0%

상권코드(TRDAR_NO)
Text

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:57:17.385630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

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

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row1*0*9*5
2nd row1*0*9*5
3rd row1*0*9*3
4th row1*0*3*2
5th row1*0*1*4
ValueCountFrequency (%)
1*0*1*3 4
13.3%
1*0*3*2 3
10.0%
1*0*6*4 3
10.0%
1*0*9*5 2
 
6.7%
1*0*1*4 2
 
6.7%
1*0*4*1 2
 
6.7%
1*0*6*7 2
 
6.7%
1*0*8*1 2
 
6.7%
1*0*0*4 2
 
6.7%
1*0*0*3 2
 
6.7%
Other values (5) 6
20.0%
2023-12-10T23:57:17.887759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 90
42.9%
1 42
20.0%
0 34
 
16.2%
4 12
 
5.7%
3 10
 
4.8%
6 8
 
3.8%
2 3
 
1.4%
9 3
 
1.4%
5 3
 
1.4%
8 3
 
1.4%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 42
35.0%
0 34
28.3%
4 12
 
10.0%
3 10
 
8.3%
6 8
 
6.7%
2 3
 
2.5%
9 3
 
2.5%
5 3
 
2.5%
8 3
 
2.5%
7 2
 
1.7%
Other Punctuation
ValueCountFrequency (%)
* 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
* 90
42.9%
1 42
20.0%
0 34
 
16.2%
4 12
 
5.7%
3 10
 
4.8%
6 8
 
3.8%
2 3
 
1.4%
9 3
 
1.4%
5 3
 
1.4%
8 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 90
42.9%
1 42
20.0%
0 34
 
16.2%
4 12
 
5.7%
3 10
 
4.8%
6 8
 
3.8%
2 3
 
1.4%
9 3
 
1.4%
5 3
 
1.4%
8 3
 
1.4%

기준년월(BASE_YYMM)
Real number (ℝ)

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201907.43
Minimum201903
Maximum201912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:18.119397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201903
5-th percentile201903
Q1201905.25
median201907.5
Q3201909.75
95-th percentile201911.55
Maximum201912
Range9
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.6997233
Coefficient of variation (CV)1.3371094 × 10-5
Kurtosis-0.88506072
Mean201907.43
Median Absolute Deviation (MAD)2.5
Skewness-0.19192604
Sum6057223
Variance7.2885057
MonotonicityNot monotonic
2023-12-10T23:57:18.313420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
201910 5
16.7%
201907 5
16.7%
201903 4
13.3%
201909 4
13.3%
201905 3
10.0%
201908 3
10.0%
201912 2
 
6.7%
201906 2
 
6.7%
201911 1
 
3.3%
201904 1
 
3.3%
ValueCountFrequency (%)
201903 4
13.3%
201904 1
 
3.3%
201905 3
10.0%
201906 2
 
6.7%
201907 5
16.7%
201908 3
10.0%
201909 4
13.3%
201910 5
16.7%
201911 1
 
3.3%
201912 2
 
6.7%
ValueCountFrequency (%)
201912 2
 
6.7%
201911 1
 
3.3%
201910 5
16.7%
201909 4
13.3%
201908 3
10.0%
201907 5
16.7%
201906 2
 
6.7%
201905 3
10.0%
201904 1
 
3.3%
201903 4
13.3%

DIY자재/DIY용품(C01_01)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
19 
1
9 
20
 
1
2
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 19
63.3%
1 9
30.0%
20 1
 
3.3%
2 1
 
3.3%

Length

2023-12-10T23:57:18.542665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:18.739216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
63.3%
1 9
30.0%
20 1
 
3.3%
2 1
 
3.3%

가구/인테리어기타(C01_02)
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 row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

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

Length

2023-12-10T23:57:18.940937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:19.130247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

거실가구(C01_03)
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 row1

Common Values

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

Length

2023-12-10T23:57:19.332416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:19.514621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 1
 
3.3%
2 1
 
3.3%

서재/사무용가구(C01_04)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
1
3 
2
3 

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 24
80.0%
1 3
 
10.0%
2 3
 
10.0%

Length

2023-12-10T23:57:19.689799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:19.866928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
1 3
 
10.0%
2 3
 
10.0%

솜류(C01_05)
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

2023-12-10T23:57:20.081832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:20.246700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

수납가구(C01_06)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0333333
Minimum0
Maximum7
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:20.384918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3.55
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.650148
Coefficient of variation (CV)1.5969174
Kurtosis4.7510018
Mean1.0333333
Median Absolute Deviation (MAD)0
Skewness2.0153188
Sum31
Variance2.7229885
MonotonicityNot monotonic
2023-12-10T23:57:20.574798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
60.0%
2 4
 
13.3%
3 3
 
10.0%
1 3
 
10.0%
4 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
0 18
60.0%
1 3
 
10.0%
2 4
 
13.3%
3 3
 
10.0%
4 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
7 1
 
3.3%
4 1
 
3.3%
3 3
 
10.0%
2 4
 
13.3%
1 3
 
10.0%
0 18
60.0%

수예(C01_07)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
4 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

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

Length

2023-12-10T23:57:20.775652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:20.955529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 4
 
13.3%
2 1
 
3.3%

아동/주니어가구(C01_08)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:21.139753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:21.285491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

아동가구/주니어가구(C01_09)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

Length

2023-12-10T23:57:21.456826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:21.632853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

아로마/캔들용품(C01_10)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:21.814094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:21.961241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

아웃도어가구(C01_11)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:22.100249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:22.248921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

이미용가구(C01_12)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:22.438349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:22.621005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

인테리어소품(C01_13)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2
Minimum0
Maximum6
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:22.762894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation1.5844068
Coefficient of variation (CV)1.320339
Kurtosis1.7543315
Mean1.2
Median Absolute Deviation (MAD)1
Skewness1.4869701
Sum36
Variance2.5103448
MonotonicityNot monotonic
2023-12-10T23:57:22.941015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 14
46.7%
1 7
23.3%
2 4
 
13.3%
4 3
 
10.0%
3 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 7
23.3%
2 4
 
13.3%
3 1
 
3.3%
4 3
 
10.0%
6 1
 
3.3%
ValueCountFrequency (%)
6 1
 
3.3%
4 3
 
10.0%
3 1
 
3.3%
2 4
 
13.3%
1 7
23.3%
0 14
46.7%

주방가구(C01_14)
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 row1
3rd row0
4th row0
5th row0

Common Values

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

Length

2023-12-10T23:57:23.193568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:23.372815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

침실가구(C01_15)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
4 
2
 
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 25
83.3%
1 4
 
13.3%
2 1
 
3.3%

Length

2023-12-10T23:57:23.579826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:23.792387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 4
 
13.3%
2 1
 
3.3%

침실제품(C01_16)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6333333
Minimum0
Maximum14
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:23.947636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8.95
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.4289169
Coefficient of variation (CV)2.0993369
Kurtosis9.0177039
Mean1.6333333
Median Absolute Deviation (MAD)0
Skewness3.0402605
Sum49
Variance11.757471
MonotonicityNot monotonic
2023-12-10T23:57:24.138947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 16
53.3%
1 7
23.3%
2 2
 
6.7%
4 2
 
6.7%
13 1
 
3.3%
3 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 7
23.3%
2 2
 
6.7%
3 1
 
3.3%
4 2
 
6.7%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
13 1
 
3.3%
4 2
 
6.7%
3 1
 
3.3%
2 2
 
6.7%
1 7
23.3%
0 16
53.3%

카페트/러그(C01_17)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
1
5 
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 24
80.0%
1 5
 
16.7%
2 1
 
3.3%

Length

2023-12-10T23:57:24.465553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:24.648851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
1 5
 
16.7%
2 1
 
3.3%

커튼/블라인드(C01_18)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
15 
1
12 
3
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 15
50.0%
1 12
40.0%
3 3
 
10.0%

Length

2023-12-10T23:57:24.891013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:25.113906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 15
50.0%
1 12
40.0%
3 3
 
10.0%

홈데코(C01_19)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
19 
1
7 
2
2 
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 19
63.3%
1 7
 
23.3%
2 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%

Length

2023-12-10T23:57:25.348678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:25.579388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
63.3%
1 7
 
23.3%
2 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%

도서/음반(C02_01)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.6
Minimum0
Maximum77
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:25.805955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q313.25
95-th percentile51.75
Maximum77
Range77
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation18.457033
Coefficient of variation (CV)1.5911235
Kurtosis6.1958913
Mean11.6
Median Absolute Deviation (MAD)4.5
Skewness2.4950599
Sum348
Variance340.66207
MonotonicityNot monotonic
2023-12-10T23:57:26.064723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 6
20.0%
2 5
16.7%
5 3
10.0%
3 2
 
6.7%
6 2
 
6.7%
15 2
 
6.7%
38 1
 
3.3%
77 1
 
3.3%
24 1
 
3.3%
1 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
0 6
20.0%
1 1
 
3.3%
2 5
16.7%
3 2
 
6.7%
5 3
10.0%
6 2
 
6.7%
8 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
77 1
3.3%
63 1
3.3%
38 1
3.3%
30 1
3.3%
24 1
3.3%
15 2
6.7%
14 1
3.3%
11 1
3.3%
9 1
3.3%
8 1
3.3%

게임기/타이틀(C03_01)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
6 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 22
73.3%
1 6
 
20.0%
2 2
 
6.7%

Length

2023-12-10T23:57:26.337461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:26.540753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 6
 
20.0%
2 2
 
6.7%

계절가전(C03_02)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3
Minimum0
Maximum8
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:26.732772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile4.55
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7840288
Coefficient of variation (CV)1.3723298
Kurtosis6.3122726
Mean1.3
Median Absolute Deviation (MAD)1
Skewness2.3236668
Sum39
Variance3.1827586
MonotonicityNot monotonic
2023-12-10T23:57:27.333278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 12
40.0%
0 11
36.7%
2 2
 
6.7%
3 2
 
6.7%
5 1
 
3.3%
8 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 11
36.7%
1 12
40.0%
2 2
 
6.7%
3 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
8 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
3 2
 
6.7%
2 2
 
6.7%
1 12
40.0%
0 11
36.7%

광학기기/광학용품(C03_03)
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 row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

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

Length

2023-12-10T23:57:27.596502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:27.774581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

네트워크장비(C03_04)
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

2023-12-10T23:57:27.978140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:28.168781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

디지털/가전기타(C03_05)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6333333
Minimum0
Maximum22
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:28.359792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5.2
Maximum22
Range22
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.1313213
Coefficient of variation (CV)2.5293804
Kurtosis21.856338
Mean1.6333333
Median Absolute Deviation (MAD)0
Skewness4.4740658
Sum49
Variance17.067816
MonotonicityNot monotonic
2023-12-10T23:57:28.559807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
53.3%
1 7
23.3%
3 3
 
10.0%
2 2
 
6.7%
22 1
 
3.3%
7 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 7
23.3%
2 2
 
6.7%
3 3
 
10.0%
7 1
 
3.3%
22 1
 
3.3%
ValueCountFrequency (%)
22 1
 
3.3%
7 1
 
3.3%
3 3
 
10.0%
2 2
 
6.7%
1 7
23.3%
0 16
53.3%

멀티미디어장비(C03_06)
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

2023-12-10T23:57:28.816309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:29.009638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

생활가전(C03_07)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
12 
1
10 
3
4 
2
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 12
40.0%
1 10
33.3%
3 4
 
13.3%
2 4
 
13.3%

Length

2023-12-10T23:57:29.238740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:29.468678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 12
40.0%
1 10
33.3%
3 4
 
13.3%
2 4
 
13.3%

영상가전(C03_08)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
1
4 

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

2023-12-10T23:57:29.713621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:29.907044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
1 4
 
13.3%

음향가전(C03_09)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7666667
Minimum0
Maximum12
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:30.107031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.55
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5955311
Coefficient of variation (CV)1.4691685
Kurtosis7.5752987
Mean1.7666667
Median Absolute Deviation (MAD)1
Skewness2.4682014
Sum53
Variance6.7367816
MonotonicityNot monotonic
2023-12-10T23:57:30.349562image/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 5
16.7%
4 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 7
23.3%
2 5
16.7%
4 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
12 1
 
3.3%
6 1
 
3.3%
5 2
 
6.7%
4 2
 
6.7%
2 5
16.7%
1 7
23.3%
0 12
40.0%

이미용가전(C03_10)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
18 
1
7 
2
3 
3
2 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 18
60.0%
1 7
 
23.3%
2 3
 
10.0%
3 2
 
6.7%

Length

2023-12-10T23:57:30.620142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:30.853226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 18
60.0%
1 7
 
23.3%
2 3
 
10.0%
3 2
 
6.7%

자동차기기(C03_11)
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

2023-12-10T23:57:31.156187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:31.343971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

저장장치(C03_12)
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
3 
2
 
1
18
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
2 1
 
3.3%
18 1
 
3.3%

Length

2023-12-10T23:57:31.592634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:31.846494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 3
 
10.0%
2 1
 
3.3%
18 1
 
3.3%

주방가전(C03_13)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6
Minimum0
Maximum10
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:32.029928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.0103182
Coefficient of variation (CV)1.2564489
Kurtosis9.9624368
Mean1.6
Median Absolute Deviation (MAD)1
Skewness2.6946548
Sum48
Variance4.0413793
MonotonicityNot monotonic
2023-12-10T23:57:32.276917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 10
33.3%
0 9
30.0%
2 4
 
13.3%
3 4
 
13.3%
4 2
 
6.7%
10 1
 
3.3%
ValueCountFrequency (%)
0 9
30.0%
1 10
33.3%
2 4
 
13.3%
3 4
 
13.3%
4 2
 
6.7%
10 1
 
3.3%
ValueCountFrequency (%)
10 1
 
3.3%
4 2
 
6.7%
3 4
 
13.3%
2 4
 
13.3%
1 10
33.3%
0 9
30.0%

카메라/캠코더(C03_14)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
21 
1
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 21
70.0%
1 9
30.0%

Length

2023-12-10T23:57:32.526118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:32.743107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
70.0%
1 9
30.0%

컴퓨터(C03_15)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1666667
Minimum0
Maximum6
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:32.942410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2603529
Coefficient of variation (CV)1.0432398
Kurtosis-1.3573302
Mean2.1666667
Median Absolute Deviation (MAD)2
Skewness0.45037115
Sum65
Variance5.1091954
MonotonicityNot monotonic
2023-12-10T23:57:33.154600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 13
43.3%
3 4
 
13.3%
5 4
 
13.3%
2 3
 
10.0%
6 3
 
10.0%
4 2
 
6.7%
1 1
 
3.3%
ValueCountFrequency (%)
0 13
43.3%
1 1
 
3.3%
2 3
 
10.0%
3 4
 
13.3%
4 2
 
6.7%
5 4
 
13.3%
6 3
 
10.0%
ValueCountFrequency (%)
6 3
 
10.0%
5 4
 
13.3%
4 2
 
6.7%
3 4
 
13.3%
2 3
 
10.0%
1 1
 
3.3%
0 13
43.3%

태블릿PC액세서리(C03_16)
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

2023-12-10T23:57:33.390866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:33.600031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

학습기기(C03_17)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:33.824144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:34.020262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

휴대폰(C03_18)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1
Minimum0
Maximum11
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:34.242344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q32
95-th percentile7.55
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.7835725
Coefficient of variation (CV)1.3255107
Kurtosis2.972401
Mean2.1
Median Absolute Deviation (MAD)1.5
Skewness1.8218793
Sum63
Variance7.7482759
MonotonicityNot monotonic
2023-12-10T23:57:34.485223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 11
36.7%
2 9
30.0%
1 4
 
13.3%
7 2
 
6.7%
8 1
 
3.3%
11 1
 
3.3%
5 1
 
3.3%
3 1
 
3.3%
ValueCountFrequency (%)
0 11
36.7%
1 4
 
13.3%
2 9
30.0%
3 1
 
3.3%
5 1
 
3.3%
7 2
 
6.7%
8 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
11 1
 
3.3%
8 1
 
3.3%
7 2
 
6.7%
5 1
 
3.3%
3 1
 
3.3%
2 9
30.0%
1 4
 
13.3%
0 11
36.7%

건강관리/건강측정(C04_01)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4666667
Minimum0
Maximum20
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:34.701183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile10.6
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.4546244
Coefficient of variation (CV)1.8059288
Kurtosis10.499669
Mean2.4666667
Median Absolute Deviation (MAD)1
Skewness3.2238295
Sum74
Variance19.843678
MonotonicityNot monotonic
2023-12-10T23:57:34.935512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 10
33.3%
0 9
30.0%
3 4
 
13.3%
4 3
 
10.0%
2 2
 
6.7%
16 1
 
3.3%
20 1
 
3.3%
ValueCountFrequency (%)
0 9
30.0%
1 10
33.3%
2 2
 
6.7%
3 4
 
13.3%
4 3
 
10.0%
16 1
 
3.3%
20 1
 
3.3%
ValueCountFrequency (%)
20 1
 
3.3%
16 1
 
3.3%
4 3
 
10.0%
3 4
 
13.3%
2 2
 
6.7%
1 10
33.3%
0 9
30.0%

건강용품(C04_02)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:35.205850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:35.397684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

공구(C04_03)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7666667
Minimum0
Maximum44
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:35.583822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32.75
95-th percentile5.1
Maximum44
Range44
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation7.9293576
Coefficient of variation (CV)2.8660329
Kurtosis27.689025
Mean2.7666667
Median Absolute Deviation (MAD)1
Skewness5.1771481
Sum83
Variance62.874713
MonotonicityNot monotonic
2023-12-10T23:57:35.786389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 11
36.7%
1 8
26.7%
3 5
16.7%
2 3
 
10.0%
4 1
 
3.3%
6 1
 
3.3%
44 1
 
3.3%
ValueCountFrequency (%)
0 11
36.7%
1 8
26.7%
2 3
 
10.0%
3 5
16.7%
4 1
 
3.3%
6 1
 
3.3%
44 1
 
3.3%
ValueCountFrequency (%)
44 1
 
3.3%
6 1
 
3.3%
4 1
 
3.3%
3 5
16.7%
2 3
 
10.0%
1 8
26.7%
0 11
36.7%

관상어용품(C04_04)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
3 

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

2023-12-10T23:57:36.008882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:36.174280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

구강위생용품(C04_05)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7
Minimum0
Maximum10
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:36.337130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q32
95-th percentile7
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5884358
Coefficient of variation (CV)1.5226093
Kurtosis3.0890434
Mean1.7
Median Absolute Deviation (MAD)0.5
Skewness1.8761655
Sum51
Variance6.7
MonotonicityNot monotonic
2023-12-10T23:57:36.547508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 15
50.0%
1 4
 
13.3%
2 4
 
13.3%
3 3
 
10.0%
7 2
 
6.7%
6 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
0 15
50.0%
1 4
 
13.3%
2 4
 
13.3%
3 3
 
10.0%
6 1
 
3.3%
7 2
 
6.7%
10 1
 
3.3%
ValueCountFrequency (%)
10 1
 
3.3%
7 2
 
6.7%
6 1
 
3.3%
3 3
 
10.0%
2 4
 
13.3%
1 4
 
13.3%
0 15
50.0%

눈건강용품(C04_06)
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

2023-12-10T23:57:36.751165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:36.923271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

목욕용품(C04_07)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
 
2
2
 
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 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

Length

2023-12-10T23:57:37.094527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:37.308933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

문구/사무용품(C04_08)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6666667
Minimum0
Maximum20
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:37.485111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8.55
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.163332
Coefficient of variation (CV)1.5612495
Kurtosis9.8831397
Mean2.6666667
Median Absolute Deviation (MAD)1
Skewness2.7962508
Sum80
Variance17.333333
MonotonicityNot monotonic
2023-12-10T23:57:37.696682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 12
40.0%
1 5
16.7%
3 4
 
13.3%
5 2
 
6.7%
2 2
 
6.7%
6 2
 
6.7%
20 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 5
16.7%
2 2
 
6.7%
3 4
 
13.3%
5 2
 
6.7%
6 2
 
6.7%
8 1
 
3.3%
9 1
 
3.3%
20 1
 
3.3%
ValueCountFrequency (%)
20 1
 
3.3%
9 1
 
3.3%
8 1
 
3.3%
6 2
 
6.7%
5 2
 
6.7%
3 4
 
13.3%
2 2
 
6.7%
1 5
16.7%
0 12
40.0%

생활건강기타(C04_09)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
14 
1
10 
2
3 
3
2 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 14
46.7%
1 10
33.3%
2 3
 
10.0%
3 2
 
6.7%
4 1
 
3.3%

Length

2023-12-10T23:57:37.902723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:38.077726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
46.7%
1 10
33.3%
2 3
 
10.0%
3 2
 
6.7%
4 1
 
3.3%

생활용품(C04_10)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3666667
Minimum0
Maximum18
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:38.264530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q39
95-th percentile11.55
Maximum18
Range18
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.7086372
Coefficient of variation (CV)0.87738582
Kurtosis-0.056119259
Mean5.3666667
Median Absolute Deviation (MAD)4
Skewness0.6024276
Sum161
Variance22.171264
MonotonicityNot monotonic
2023-12-10T23:57:38.473616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 7
23.3%
9 4
13.3%
1 3
10.0%
3 2
 
6.7%
11 2
 
6.7%
10 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
4 2
 
6.7%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 7
23.3%
1 3
10.0%
3 2
 
6.7%
4 2
 
6.7%
5 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
9 4
13.3%
10 2
 
6.7%
11 2
 
6.7%
ValueCountFrequency (%)
18 1
 
3.3%
12 1
 
3.3%
11 2
6.7%
10 2
6.7%
9 4
13.3%
7 2
6.7%
6 2
6.7%
5 2
6.7%
4 2
6.7%
3 2
6.7%

수납/정리용품(C04_11)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
2
4 
1
3 
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 row2

Common Values

ValueCountFrequency (%)
0 22
73.3%
2 4
 
13.3%
1 3
 
10.0%
5 1
 
3.3%

Length

2023-12-10T23:57:38.697330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:38.875908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
2 4
 
13.3%
1 3
 
10.0%
5 1
 
3.3%

수집품(C04_12)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
20 
1
6 
4
 
2
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
66.7%
1 6
 
20.0%
4 2
 
6.7%
2 2
 
6.7%

Length

2023-12-10T23:57:39.055344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:39.230662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
66.7%
1 6
 
20.0%
4 2
 
6.7%
2 2
 
6.7%

악기(C04_13)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7333333
Minimum0
Maximum14
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:39.396342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31.75
95-th percentile9.4
Maximum14
Range14
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation3.4132938
Coefficient of variation (CV)1.969208
Kurtosis8.8514902
Mean1.7333333
Median Absolute Deviation (MAD)1
Skewness3.0091004
Sum52
Variance11.650575
MonotonicityNot monotonic
2023-12-10T23:57:39.583642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
46.7%
1 8
26.7%
2 3
 
10.0%
3 2
 
6.7%
13 1
 
3.3%
5 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 8
26.7%
2 3
 
10.0%
3 2
 
6.7%
5 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
13 1
 
3.3%
5 1
 
3.3%
3 2
 
6.7%
2 3
 
10.0%
1 8
26.7%
0 14
46.7%

애완(C04_14)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1333333
Minimum0
Maximum37
Zeros11
Zeros (%)36.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:39.778758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33.75
95-th percentile8.65
Maximum37
Range37
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation6.8618552
Coefficient of variation (CV)2.1899538
Kurtosis21.9044
Mean3.1333333
Median Absolute Deviation (MAD)1
Skewness4.4422843
Sum94
Variance47.085057
MonotonicityNot monotonic
2023-12-10T23:57:39.982141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 11
36.7%
1 7
23.3%
4 3
 
10.0%
3 2
 
6.7%
2 2
 
6.7%
10 1
 
3.3%
7 1
 
3.3%
37 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 11
36.7%
1 7
23.3%
2 2
 
6.7%
3 2
 
6.7%
4 3
 
10.0%
5 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
10 1
 
3.3%
37 1
 
3.3%
ValueCountFrequency (%)
37 1
 
3.3%
10 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
5 1
 
3.3%
4 3
 
10.0%
3 2
 
6.7%
2 2
 
6.7%
1 7
23.3%
0 11
36.7%

완구(C04_15)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
21 
1
5 
2
3 
4
 
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 21
70.0%
1 5
 
16.7%
2 3
 
10.0%
4 1
 
3.3%

Length

2023-12-10T23:57:40.210588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:40.401341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
70.0%
1 5
 
16.7%
2 3
 
10.0%
4 1
 
3.3%

욕실용품(C04_16)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0666667
Minimum0
Maximum7
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:40.592894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5.55
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8181714
Coefficient of variation (CV)1.7045357
Kurtosis4.7911109
Mean1.0666667
Median Absolute Deviation (MAD)0
Skewness2.2916981
Sum32
Variance3.3057471
MonotonicityNot monotonic
2023-12-10T23:57:40.774119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 16
53.3%
1 8
26.7%
2 3
 
10.0%
5 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
0 16
53.3%
1 8
26.7%
2 3
 
10.0%
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%
2 3
 
10.0%
1 8
26.7%
0 16
53.3%

유아생활용품(C04_17)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:40.971874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:41.140866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

유아위생용품(C04_18)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:41.432015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:41.600301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

의료용품(C04_19)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
17 
1
9 
2
3 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

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

Length

2023-12-10T23:57:41.774820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:41.946838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
56.7%
1 9
30.0%
2 3
 
10.0%
3 1
 
3.3%

자동차용품(C04_20)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
16 
1
8 
3
3 
2
2 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 16
53.3%
1 8
26.7%
3 3
 
10.0%
2 2
 
6.7%
4 1
 
3.3%

Length

2023-12-10T23:57:42.136798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:42.321804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 16
53.3%
1 8
26.7%
3 3
 
10.0%
2 2
 
6.7%
4 1
 
3.3%

정원/원예용품(C04_21)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
21 
1
8 
8
 
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 21
70.0%
1 8
 
26.7%
8 1
 
3.3%

Length

2023-12-10T23:57:42.871414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:43.046352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
70.0%
1 8
 
26.7%
8 1
 
3.3%

주방용품(C04_22)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8666667
Minimum0
Maximum12
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:43.212815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35.75
95-th percentile10.55
Maximum12
Range12
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation3.5982116
Coefficient of variation (CV)0.93057196
Kurtosis-0.27807279
Mean3.8666667
Median Absolute Deviation (MAD)2.5
Skewness0.81071007
Sum116
Variance12.947126
MonotonicityNot monotonic
2023-12-10T23:57:43.376578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3 7
23.3%
0 7
23.3%
5 3
10.0%
1 3
10.0%
7 2
 
6.7%
10 2
 
6.7%
4 1
 
3.3%
6 1
 
3.3%
8 1
 
3.3%
11 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 7
23.3%
1 3
10.0%
2 1
 
3.3%
3 7
23.3%
4 1
 
3.3%
5 3
10.0%
6 1
 
3.3%
7 2
 
6.7%
8 1
 
3.3%
10 2
 
6.7%
ValueCountFrequency (%)
12 1
 
3.3%
11 1
 
3.3%
10 2
 
6.7%
8 1
 
3.3%
7 2
 
6.7%
6 1
 
3.3%
5 3
10.0%
4 1
 
3.3%
3 7
23.3%
2 1
 
3.3%

청소용품(C04_23)
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
14 
1
8 
2
7 
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 14
46.7%
1 8
26.7%
2 7
23.3%
6 1
 
3.3%

Length

2023-12-10T23:57:43.558592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:43.756902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
46.7%
1 8
26.7%
2 7
23.3%
6 1
 
3.3%

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

2023-12-10T23:57:43.936280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:44.130428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

골프(C05_02)
Categorical

IMBALANCE 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

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

Length

2023-12-10T23:57:44.278943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:44.442754image/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%

권투(C05_03)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:44.612246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:44.772692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

낚시(C05_04)
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 row1

Common Values

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

Length

2023-12-10T23:57:44.967971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:45.129205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

농구(C05_05)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:45.305437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:45.477115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

등산(C05_06)
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

2023-12-10T23:57:45.715490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:45.987152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

무술(C05_07)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:46.169719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:46.315927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

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

2023-12-10T23:57:46.441518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:46.607832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

배드민턴(C05_09)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:46.768212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:46.942886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

볼링(C05_10)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:47.137044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:47.323318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

수영(C05_11)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

Length

2023-12-10T23:57:47.508267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:47.705767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

스테이트/보드/롤러(C05_12)
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

2023-12-10T23:57:47.901266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:48.073591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

스쿼시(C05_13)_
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:48.272390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:48.450597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

스키/스노우보드(C05_14)
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

2023-12-10T23:57:48.641963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:48.851531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

스킨스쿠버(C05_15)
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

2023-12-10T23:57:49.085978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:49.285152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

스포츠레저기타(C05_16)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:49.470711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:49.672606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

스포츠액세서리(C05_17)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:49.864141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:50.041643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

야구(C05_18)
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

2023-12-10T23:57:50.223875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:50.416121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

오토바이/스쿠터(C05_19)
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

2023-12-10T23:57:50.614437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:50.815818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

요가/필라테스(C05_20)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:51.003152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:51.181765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

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

2023-12-10T23:57:51.372343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:51.553129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

자전거(C05_22)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
 
2
2
 
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 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

Length

2023-12-10T23:57:51.744641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:51.943472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
2 1
 
3.3%

족구(C05_23)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:52.140166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:52.320458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

축구(C05_24)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T23:57:52.490876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:52.682468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

캠핑(C05_25)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T23:57:53.018755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:53.542889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

탁구(C05_26)
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 row1

Common Values

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

Length

2023-12-10T23:57:53.923840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:54.357396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
96.7%
1 1
 
3.3%

테니스(C05_27)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:54.771920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:55.017278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

헬스(C05_28)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
1
4 

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

2023-12-10T23:57:55.203937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:55.408371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
1 4
 
13.3%

가공식품(C06_01)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.833333
Minimum0
Maximum38
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:55.575816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median8.5
Q316.5
95-th percentile33.05
Maximum38
Range38
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation10.346025
Coefficient of variation (CV)0.95501768
Kurtosis1.3962063
Mean10.833333
Median Absolute Deviation (MAD)6.5
Skewness1.2948646
Sum325
Variance107.04023
MonotonicityNot monotonic
2023-12-10T23:57:55.824796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 3
 
10.0%
5 3
 
10.0%
2 3
 
10.0%
17 2
 
6.7%
11 2
 
6.7%
1 2
 
6.7%
38 2
 
6.7%
10 2
 
6.7%
7 2
 
6.7%
18 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 3
10.0%
1 2
6.7%
2 3
10.0%
3 1
 
3.3%
5 3
10.0%
7 2
6.7%
8 1
 
3.3%
9 1
 
3.3%
10 2
6.7%
11 2
6.7%
ValueCountFrequency (%)
38 2
6.7%
27 1
3.3%
23 1
3.3%
20 1
3.3%
18 1
3.3%
17 2
6.7%
15 1
3.3%
13 1
3.3%
11 2
6.7%
10 2
6.7%

건강식품(C06_02)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2
Minimum0
Maximum35
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:56.061533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median6.5
Q312.75
95-th percentile22
Maximum35
Range35
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation8.6079354
Coefficient of variation (CV)1.0497482
Kurtosis1.8093035
Mean8.2
Median Absolute Deviation (MAD)5.5
Skewness1.3624307
Sum246
Variance74.096552
MonotonicityNot monotonic
2023-12-10T23:57:56.275787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 6
20.0%
8 3
10.0%
3 3
10.0%
1 2
 
6.7%
17 2
 
6.7%
22 2
 
6.7%
9 2
 
6.7%
14 2
 
6.7%
7 2
 
6.7%
5 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0 6
20.0%
1 2
 
6.7%
2 1
 
3.3%
3 3
10.0%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 2
 
6.7%
8 3
10.0%
9 2
 
6.7%
ValueCountFrequency (%)
35 1
 
3.3%
22 2
6.7%
21 1
 
3.3%
17 2
6.7%
14 2
6.7%
9 2
6.7%
8 3
10.0%
7 2
6.7%
6 1
 
3.3%
5 1
 
3.3%

과자/간식(C06_03)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:56.524697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:56.697429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

과자/간식/음료(C06_04)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7333333
Minimum0
Maximum25
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:56.859598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median8.5
Q313.75
95-th percentile22.3
Maximum25
Range25
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation6.7565209
Coefficient of variation (CV)0.69416311
Kurtosis-0.23399023
Mean9.7333333
Median Absolute Deviation (MAD)4.5
Skewness0.67721366
Sum292
Variance45.650575
MonotonicityNot monotonic
2023-12-10T23:57:57.068460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
5 3
10.0%
4 3
10.0%
3 3
10.0%
25 2
 
6.7%
16 2
 
6.7%
12 2
 
6.7%
17 2
 
6.7%
13 2
 
6.7%
7 2
 
6.7%
2 2
 
6.7%
Other values (6) 7
23.3%
ValueCountFrequency (%)
0 1
 
3.3%
2 2
6.7%
3 3
10.0%
4 3
10.0%
5 3
10.0%
7 2
6.7%
8 1
 
3.3%
9 1
 
3.3%
11 2
6.7%
12 2
6.7%
ValueCountFrequency (%)
25 2
6.7%
19 1
3.3%
17 2
6.7%
16 2
6.7%
14 1
3.3%
13 2
6.7%
12 2
6.7%
11 2
6.7%
9 1
3.3%
8 1
3.3%

농산물(C06_05)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:57.313330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:57.504091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

반찬(C06_06)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
20 
2
4 
1
3 
3
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 20
66.7%
2 4
 
13.3%
1 3
 
10.0%
3 2
 
6.7%
5 1
 
3.3%

Length

2023-12-10T23:57:57.719414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:57.899792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
66.7%
2 4
 
13.3%
1 3
 
10.0%
3 2
 
6.7%
5 1
 
3.3%

수산물(C06_07)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:57:58.098871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:57:58.292126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

식품기타(C06_08)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6333333
Minimum0
Maximum6
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:58.955215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5.55
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8285727
Coefficient of variation (CV)1.1195343
Kurtosis0.79040172
Mean1.6333333
Median Absolute Deviation (MAD)1
Skewness1.2758617
Sum49
Variance3.3436782
MonotonicityNot monotonic
2023-12-10T23:57:59.250315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 10
33.3%
2 8
26.7%
1 7
23.3%
6 2
 
6.7%
5 2
 
6.7%
4 1
 
3.3%
ValueCountFrequency (%)
0 10
33.3%
1 7
23.3%
2 8
26.7%
4 1
 
3.3%
5 2
 
6.7%
6 2
 
6.7%
ValueCountFrequency (%)
6 2
 
6.7%
5 2
 
6.7%
4 1
 
3.3%
2 8
26.7%
1 7
23.3%
0 10
33.3%

신선식품(C06_09)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum0
Maximum140
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:57:59.539146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.25
median8
Q315.5
95-th percentile28.55
Maximum140
Range140
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation25.250469
Coefficient of variation (CV)1.803605
Kurtosis23.004739
Mean14
Median Absolute Deviation (MAD)5.5
Skewness4.5575438
Sum420
Variance637.58621
MonotonicityNot monotonic
2023-12-10T23:57:59.847498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 5
16.7%
8 3
 
10.0%
10 2
 
6.7%
16 2
 
6.7%
3 2
 
6.7%
9 2
 
6.7%
4 2
 
6.7%
7 2
 
6.7%
20 1
 
3.3%
29 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 5
16.7%
1 1
 
3.3%
3 2
 
6.7%
4 2
 
6.7%
6 1
 
3.3%
7 2
 
6.7%
8 3
10.0%
9 2
 
6.7%
10 2
 
6.7%
12 1
 
3.3%
ValueCountFrequency (%)
140 1
3.3%
29 1
3.3%
28 1
3.3%
25 1
3.3%
23 1
3.3%
20 1
3.3%
16 2
6.7%
14 1
3.3%
12 1
3.3%
10 2
6.7%

음료(C06_10)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:00.185108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:00.417032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

축산(C06_11)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:00.614876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:00.824338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

기저귀(C07_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

2023-12-10T23:58:01.022492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:01.214749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

분유/이유식(C07_02)
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
1
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

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

Length

2023-12-10T23:58:01.429773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:01.662271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 3
 
10.0%

수유용품(C07_03)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
4 
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 25
83.3%
1 4
 
13.3%
3 1
 
3.3%

Length

2023-12-10T23:58:01.856055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:02.064209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 4
 
13.3%
3 1
 
3.3%

유모차/보행기/유아발육용품(C07_04)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:02.303885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:02.496323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

유아안전용품(C07_05)
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

2023-12-10T23:58:02.687004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:02.873341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 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

2023-12-10T23:58:03.056983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:03.233802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

유아잡화(C07_07)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:03.404831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:03.583572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

임산부용품(C07_08)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:03.824410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:03.989904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

출산/육아기타(C07_09)
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

2023-12-10T23:58:04.281235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:04.467592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

언더웨어/잠옷(C08_01)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5666667
Minimum0
Maximum13
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:04.669723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q36
95-th percentile9
Maximum13
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.6263721
Coefficient of variation (CV)1.0167398
Kurtosis-0.20849703
Mean3.5666667
Median Absolute Deviation (MAD)3
Skewness0.77566943
Sum107
Variance13.150575
MonotonicityNot monotonic
2023-12-10T23:58:04.901492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 10
33.3%
8 3
 
10.0%
3 3
 
10.0%
5 2
 
6.7%
2 2
 
6.7%
9 2
 
6.7%
4 2
 
6.7%
1 2
 
6.7%
6 2
 
6.7%
7 1
 
3.3%
ValueCountFrequency (%)
0 10
33.3%
1 2
 
6.7%
2 2
 
6.7%
3 3
 
10.0%
4 2
 
6.7%
5 2
 
6.7%
6 2
 
6.7%
7 1
 
3.3%
8 3
 
10.0%
9 2
 
6.7%
ValueCountFrequency (%)
13 1
 
3.3%
9 2
6.7%
8 3
10.0%
7 1
 
3.3%
6 2
6.7%
5 2
6.7%
4 2
6.7%
3 3
10.0%
2 2
6.7%
1 2
6.7%

의류(C08_02)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.1
Minimum0
Maximum80
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:05.139590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median20
Q347
95-th percentile62.95
Maximum80
Range80
Interquartile range (IQR)42

Descriptive statistics

Standard deviation23.04022
Coefficient of variation (CV)0.91793704
Kurtosis-0.5403506
Mean25.1
Median Absolute Deviation (MAD)17.5
Skewness0.71703971
Sum753
Variance530.85172
MonotonicityNot monotonic
2023-12-10T23:58:05.402566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 5
16.7%
27 2
 
6.7%
22 2
 
6.7%
12 2
 
6.7%
20 2
 
6.7%
52 2
 
6.7%
3 1
 
3.3%
8 1
 
3.3%
80 1
 
3.3%
50 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 5
16.7%
2 1
 
3.3%
3 1
 
3.3%
4 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
12 2
 
6.7%
13 1
 
3.3%
15 1
 
3.3%
20 2
 
6.7%
ValueCountFrequency (%)
80 1
3.3%
67 1
3.3%
58 1
3.3%
52 2
6.7%
51 1
3.3%
50 1
3.3%
49 1
3.3%
41 1
3.3%
37 1
3.3%
27 2
6.7%

패션의류기타(C08_03)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1333333
Minimum0
Maximum17
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:05.639099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.5
Q35
95-th percentile15.65
Maximum17
Range17
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.7541875
Coefficient of variation (CV)1.1502067
Kurtosis2.2936756
Mean4.1333333
Median Absolute Deviation (MAD)1.5
Skewness1.7142183
Sum124
Variance22.602299
MonotonicityNot monotonic
2023-12-10T23:58:05.866622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3 6
20.0%
2 6
20.0%
0 5
16.7%
1 4
13.3%
17 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
10 1
 
3.3%
14 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
0 5
16.7%
1 4
13.3%
2 6
20.0%
3 6
20.0%
5 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
10 1
 
3.3%
14 1
 
3.3%
17 2
 
6.7%
ValueCountFrequency (%)
17 2
 
6.7%
14 1
 
3.3%
10 1
 
3.3%
8 1
 
3.3%
7 2
 
6.7%
5 2
 
6.7%
3 6
20.0%
2 6
20.0%
1 4
13.3%
0 5
16.7%

가방/지갑(C09_01)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6666667
Minimum0
Maximum8
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:06.098693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median2.5
Q34
95-th percentile8
Maximum8
Range8
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.5775333
Coefficient of variation (CV)0.96657501
Kurtosis-0.31554682
Mean2.6666667
Median Absolute Deviation (MAD)1.5
Skewness0.78485334
Sum80
Variance6.6436782
MonotonicityNot monotonic
2023-12-10T23:58:06.322958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 8
26.7%
1 6
20.0%
4 6
20.0%
3 4
13.3%
8 3
 
10.0%
6 2
 
6.7%
2 1
 
3.3%
ValueCountFrequency (%)
0 8
26.7%
1 6
20.0%
2 1
 
3.3%
3 4
13.3%
4 6
20.0%
6 2
 
6.7%
8 3
 
10.0%
ValueCountFrequency (%)
8 3
 
10.0%
6 2
 
6.7%
4 6
20.0%
3 4
13.3%
2 1
 
3.3%
1 6
20.0%
0 8
26.7%

선글라스/안경(C09_02)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:06.645879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:06.851223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

시계(C09_03)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:07.041983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:07.211804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

신발(C09_04)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8
Minimum0
Maximum18
Zeros9
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:07.389567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q38
95-th percentile13.75
Maximum18
Range18
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.9507923
Coefficient of variation (CV)1.0314151
Kurtosis0.56794646
Mean4.8
Median Absolute Deviation (MAD)4
Skewness0.98121385
Sum144
Variance24.510345
MonotonicityNot monotonic
2023-12-10T23:58:07.622670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 9
30.0%
8 4
13.3%
1 3
 
10.0%
7 2
 
6.7%
4 2
 
6.7%
11 2
 
6.7%
6 2
 
6.7%
16 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 9
30.0%
1 3
 
10.0%
2 1
 
3.3%
3 1
 
3.3%
4 2
 
6.7%
5 1
 
3.3%
6 2
 
6.7%
7 2
 
6.7%
8 4
13.3%
9 1
 
3.3%
ValueCountFrequency (%)
18 1
 
3.3%
16 1
 
3.3%
11 2
6.7%
9 1
 
3.3%
8 4
13.3%
7 2
6.7%
6 2
6.7%
5 1
 
3.3%
4 2
6.7%
3 1
 
3.3%

액세서리(C09_05)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3
Minimum0
Maximum15
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:07.849554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33.75
95-th percentile7
Maximum15
Range15
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation3.1529953
Coefficient of variation (CV)1.3708675
Kurtosis8.4119844
Mean2.3
Median Absolute Deviation (MAD)2
Skewness2.5114333
Sum69
Variance9.9413793
MonotonicityNot monotonic
2023-12-10T23:58:08.043730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 12
40.0%
2 6
20.0%
4 5
16.7%
7 2
 
6.7%
1 2
 
6.7%
3 2
 
6.7%
15 1
 
3.3%
ValueCountFrequency (%)
0 12
40.0%
1 2
 
6.7%
2 6
20.0%
3 2
 
6.7%
4 5
16.7%
7 2
 
6.7%
15 1
 
3.3%
ValueCountFrequency (%)
15 1
 
3.3%
7 2
 
6.7%
4 5
16.7%
3 2
 
6.7%
2 6
20.0%
1 2
 
6.7%
0 12
40.0%

주얼리(C09_06)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:08.291124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:08.493771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

패션소품(C09_07)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3666667
Minimum0
Maximum8
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:08.674507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33.75
95-th percentile6.55
Maximum8
Range8
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.2358109
Coefficient of variation (CV)0.94470885
Kurtosis0.23202566
Mean2.3666667
Median Absolute Deviation (MAD)1
Skewness1.0117272
Sum71
Variance4.9988506
MonotonicityNot monotonic
2023-12-10T23:58:08.925742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 8
26.7%
0 6
20.0%
2 5
16.7%
4 3
 
10.0%
3 3
 
10.0%
6 2
 
6.7%
5 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
0 6
20.0%
1 8
26.7%
2 5
16.7%
3 3
 
10.0%
4 3
 
10.0%
5 1
 
3.3%
6 2
 
6.7%
7 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
8 1
 
3.3%
7 1
 
3.3%
6 2
 
6.7%
5 1
 
3.3%
4 3
 
10.0%
3 3
 
10.0%
2 5
16.7%
1 8
26.7%
0 6
20.0%

패션잡화기타(C09_08)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
14 
1
12 
2
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 14
46.7%
1 12
40.0%
2 4
 
13.3%

Length

2023-12-10T23:58:09.175106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:09.387856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 14
46.7%
1 12
40.0%
2 4
 
13.3%

헤어액세서리(C09_09)
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-12-10T23:58:09.609758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:09.800370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

기초화장품(C10_01)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7666667
Minimum0
Maximum26
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:09.991616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6.5
Q310.75
95-th percentile23.65
Maximum26
Range26
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation7.4587756
Coefficient of variation (CV)0.96035737
Kurtosis0.50524016
Mean7.7666667
Median Absolute Deviation (MAD)4.5
Skewness1.1037482
Sum233
Variance55.633333
MonotonicityNot monotonic
2023-12-10T23:58:10.247108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2 4
13.3%
0 4
13.3%
8 3
 
10.0%
7 2
 
6.7%
10 2
 
6.7%
1 2
 
6.7%
3 2
 
6.7%
22 1
 
3.3%
6 1
 
3.3%
26 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 4
13.3%
1 2
6.7%
2 4
13.3%
3 2
6.7%
4 1
 
3.3%
5 1
 
3.3%
6 1
 
3.3%
7 2
6.7%
8 3
10.0%
10 2
6.7%
ValueCountFrequency (%)
26 1
 
3.3%
25 1
 
3.3%
22 1
 
3.3%
18 1
 
3.3%
15 1
 
3.3%
14 1
 
3.3%
13 1
 
3.3%
11 1
 
3.3%
10 2
6.7%
8 3
10.0%

네일메이크업(C10_02)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
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 row3

Common Values

ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
3 1
 
3.3%

Length

2023-12-10T23:58:10.512732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:10.709937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
1 2
 
6.7%
3 1
 
3.3%

바디용품(C10_03)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7333333
Minimum0
Maximum6
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:10.874426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2117762
Coefficient of variation (CV)1.2760247
Kurtosis-0.45646243
Mean1.7333333
Median Absolute Deviation (MAD)1
Skewness1.0177676
Sum52
Variance4.891954
MonotonicityNot monotonic
2023-12-10T23:58:11.084681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
46.7%
1 5
 
16.7%
6 4
 
13.3%
4 2
 
6.7%
3 2
 
6.7%
2 2
 
6.7%
5 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 5
 
16.7%
2 2
 
6.7%
3 2
 
6.7%
4 2
 
6.7%
5 1
 
3.3%
6 4
 
13.3%
ValueCountFrequency (%)
6 4
 
13.3%
5 1
 
3.3%
4 2
 
6.7%
3 2
 
6.7%
2 2
 
6.7%
1 5
 
16.7%
0 14
46.7%

뷰티소품(C10_04)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
13 
1
11 
3
3 
2
2 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 13
43.3%
1 11
36.7%
3 3
 
10.0%
2 2
 
6.7%
5 1
 
3.3%

Length

2023-12-10T23:58:11.326262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:11.510425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 13
43.3%
1 11
36.7%
3 3
 
10.0%
2 2
 
6.7%
5 1
 
3.3%

색조화장품(C10_05)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0666667
Minimum0
Maximum15
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:11.710141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.75
95-th percentile10.55
Maximum15
Range15
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation3.9560807
Coefficient of variation (CV)1.2900263
Kurtosis1.7316593
Mean3.0666667
Median Absolute Deviation (MAD)1
Skewness1.4686552
Sum92
Variance15.650575
MonotonicityNot monotonic
2023-12-10T23:58:11.952739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 12
40.0%
1 4
 
13.3%
4 3
 
10.0%
3 2
 
6.7%
5 2
 
6.7%
7 1
 
3.3%
9 1
 
3.3%
15 1
 
3.3%
2 1
 
3.3%
11 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 12
40.0%
1 4
 
13.3%
2 1
 
3.3%
3 2
 
6.7%
4 3
 
10.0%
5 2
 
6.7%
6 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
15 1
 
3.3%
11 1
 
3.3%
10 1
 
3.3%
9 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
5 2
6.7%
4 3
10.0%
3 2
6.7%
2 1
 
3.3%

유아화장품(C10_06)
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
4 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

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

Length

2023-12-10T23:58:12.206304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:12.391267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 4
 
13.3%
2 1
 
3.3%

향수(C10_07)
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
22 
1
7 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

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

Length

2023-12-10T23:58:12.617106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:12.922863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
73.3%
1 7
 
23.3%
3 1
 
3.3%

헤어용품(C10_08)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9333333
Minimum0
Maximum10
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:13.127748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33.75
95-th percentile8.1
Maximum10
Range10
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.6120851
Coefficient of variation (CV)0.89048355
Kurtosis1.1118572
Mean2.9333333
Median Absolute Deviation (MAD)1
Skewness1.1973389
Sum88
Variance6.8229885
MonotonicityNot monotonic
2023-12-10T23:58:13.349876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 7
23.3%
3 6
20.0%
0 5
16.7%
1 4
13.3%
5 3
10.0%
7 2
 
6.7%
4 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
0 5
16.7%
1 4
13.3%
2 7
23.3%
3 6
20.0%
4 1
 
3.3%
5 3
10.0%
7 2
 
6.7%
9 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
10 1
 
3.3%
9 1
 
3.3%
7 2
 
6.7%
5 3
10.0%
4 1
 
3.3%
3 6
20.0%
2 7
23.3%
1 4
13.3%
0 5
16.7%

화장품/미용기타(C10_09)
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
25 
1
5 

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 25
83.3%
1 5
 
16.7%

Length

2023-12-10T23:58:13.594836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:13.778178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
83.3%
1 5
 
16.7%

가구/인테리어(C01)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0666667
Minimum0
Maximum18
Zeros5
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:13.949484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q37
95-th percentile14.2
Maximum18
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.884411
Coefficient of variation (CV)0.9640285
Kurtosis0.65016151
Mean5.0666667
Median Absolute Deviation (MAD)3
Skewness1.1057514
Sum152
Variance23.857471
MonotonicityNot monotonic
2023-12-10T23:58:14.713735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 5
16.7%
4 4
13.3%
1 4
13.3%
2 3
10.0%
12 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
5 2
 
6.7%
11 1
 
3.3%
3 1
 
3.3%
Other values (4) 4
13.3%
ValueCountFrequency (%)
0 5
16.7%
1 4
13.3%
2 3
10.0%
3 1
 
3.3%
4 4
13.3%
5 2
 
6.7%
6 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
18 1
 
3.3%
16 1
 
3.3%
12 2
6.7%
11 1
 
3.3%
10 1
 
3.3%
8 1
 
3.3%
7 2
6.7%
6 2
6.7%
5 2
6.7%
4 4
13.3%

도서/음반(C02)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.533333
Minimum0
Maximum133
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:15.158402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8.5
Q317
95-th percentile46.6
Maximum133
Range133
Interquartile range (IQR)14

Descriptive statistics

Standard deviation25.469026
Coefficient of variation (CV)1.6396368
Kurtosis16.340497
Mean15.533333
Median Absolute Deviation (MAD)7
Skewness3.7718688
Sum466
Variance648.67126
MonotonicityNot monotonic
2023-12-10T23:58:15.410044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5 4
13.3%
1 3
 
10.0%
0 3
 
10.0%
3 2
 
6.7%
14 2
 
6.7%
17 2
 
6.7%
29 2
 
6.7%
19 2
 
6.7%
133 1
 
3.3%
7 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 3
10.0%
1 3
10.0%
2 1
 
3.3%
3 2
6.7%
5 4
13.3%
6 1
 
3.3%
7 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
13 1
 
3.3%
ValueCountFrequency (%)
133 1
3.3%
61 1
3.3%
29 2
6.7%
21 1
3.3%
19 2
6.7%
17 2
6.7%
15 1
3.3%
14 2
6.7%
13 1
3.3%
11 1
3.3%

디지털/가전(C03)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.333333
Minimum0
Maximum30
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:15.647835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q17
median13.5
Q320
95-th percentile28.1
Maximum30
Range30
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.9146657
Coefficient of variation (CV)0.62195342
Kurtosis-1.0491772
Mean14.333333
Median Absolute Deviation (MAD)6.5
Skewness0.098052625
Sum430
Variance79.471264
MonotonicityNot monotonic
2023-12-10T23:58:15.885104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20 4
 
13.3%
7 2
 
6.7%
27 2
 
6.7%
6 2
 
6.7%
0 2
 
6.7%
12 2
 
6.7%
22 2
 
6.7%
4 1
 
3.3%
14 1
 
3.3%
11 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
4 1
3.3%
5 1
3.3%
6 2
6.7%
7 2
6.7%
8 1
3.3%
10 1
3.3%
11 1
3.3%
12 2
6.7%
ValueCountFrequency (%)
30 1
 
3.3%
29 1
 
3.3%
27 2
6.7%
26 1
 
3.3%
22 2
6.7%
20 4
13.3%
19 1
 
3.3%
17 1
 
3.3%
15 1
 
3.3%
14 1
 
3.3%

생활건강(C04)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.366667
Minimum0
Maximum976
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:16.124623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.35
Q116.25
median35
Q343.75
95-th percentile117.45
Maximum976
Range976
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation174.42012
Coefficient of variation (CV)2.6683343
Kurtosis28.18705
Mean65.366667
Median Absolute Deviation (MAD)16
Skewness5.2429054
Sum1961
Variance30422.378
MonotonicityNot monotonic
2023-12-10T23:58:16.363158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
35 3
 
10.0%
36 3
 
10.0%
0 2
 
6.7%
3 2
 
6.7%
25 2
 
6.7%
77 1
 
3.3%
53 1
 
3.3%
126 1
 
3.3%
55 1
 
3.3%
107 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 2
6.7%
3 2
6.7%
4 1
3.3%
5 1
3.3%
12 1
3.3%
16 1
3.3%
17 1
3.3%
21 1
3.3%
24 1
3.3%
25 2
6.7%
ValueCountFrequency (%)
976 1
3.3%
126 1
3.3%
107 1
3.3%
77 1
3.3%
55 1
3.3%
53 1
3.3%
47 1
3.3%
44 1
3.3%
43 1
3.3%
39 1
3.3%

스포츠/레저(C05)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4333333
Minimum0
Maximum26
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:16.596077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q32.75
95-th percentile8.65
Maximum26
Range26
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation5.0697435
Coefficient of variation (CV)2.0834562
Kurtosis16.746619
Mean2.4333333
Median Absolute Deviation (MAD)0.5
Skewness3.8043594
Sum73
Variance25.702299
MonotonicityNot monotonic
2023-12-10T23:58:16.848357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 15
50.0%
1 4
 
13.3%
4 3
 
10.0%
2 3
 
10.0%
7 1
 
3.3%
26 1
 
3.3%
10 1
 
3.3%
5 1
 
3.3%
3 1
 
3.3%
ValueCountFrequency (%)
0 15
50.0%
1 4
 
13.3%
2 3
 
10.0%
3 1
 
3.3%
4 3
 
10.0%
5 1
 
3.3%
7 1
 
3.3%
10 1
 
3.3%
26 1
 
3.3%
ValueCountFrequency (%)
26 1
 
3.3%
10 1
 
3.3%
7 1
 
3.3%
5 1
 
3.3%
4 3
 
10.0%
3 1
 
3.3%
2 3
 
10.0%
1 4
 
13.3%
0 15
50.0%

식품(C06)
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.966667
Minimum1
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:17.047331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q120.5
median47.5
Q365
95-th percentile114.6
Maximum149
Range148
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation35.954457
Coefficient of variation (CV)0.74957173
Kurtosis1.232563
Mean47.966667
Median Absolute Deviation (MAD)19.5
Skewness0.99620849
Sum1439
Variance1292.723
MonotonicityNot monotonic
2023-12-10T23:58:17.348177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
67 2
 
6.7%
31 2
 
6.7%
3 2
 
6.7%
51 1
 
3.3%
71 1
 
3.3%
1 1
 
3.3%
129 1
 
3.3%
28 1
 
3.3%
35 1
 
3.3%
54 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
1 1
3.3%
3 2
6.7%
5 1
3.3%
9 1
3.3%
13 1
3.3%
14 1
3.3%
18 1
3.3%
28 1
3.3%
31 2
6.7%
35 1
3.3%
ValueCountFrequency (%)
149 1
3.3%
129 1
3.3%
97 1
3.3%
88 1
3.3%
80 1
3.3%
71 1
3.3%
67 2
6.7%
59 1
3.3%
56 1
3.3%
55 1
3.3%

출산/육아(C07)
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
23 
4
4 
1
 
1
2
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 23
76.7%
4 4
 
13.3%
1 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%

Length

2023-12-10T23:58:17.608623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:17.837413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
76.7%
4 4
 
13.3%
1 1
 
3.3%
2 1
 
3.3%
3 1
 
3.3%

패션의류(C08)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.033333
Minimum0
Maximum116
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:18.055865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median19.5
Q345.25
95-th percentile77.35
Maximum116
Range116
Interquartile range (IQR)41.25

Descriptive statistics

Standard deviation28.331149
Coefficient of variation (CV)1.0106236
Kurtosis1.906279
Mean28.033333
Median Absolute Deviation (MAD)17.5
Skewness1.3441018
Sum841
Variance802.65402
MonotonicityNot monotonic
2023-12-10T23:58:18.338428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3
 
10.0%
2 2
 
6.7%
4 2
 
6.7%
49 2
 
6.7%
116 1
 
3.3%
21 1
 
3.3%
11 1
 
3.3%
46 1
 
3.3%
20 1
 
3.3%
14 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0 3
10.0%
1 1
 
3.3%
2 2
6.7%
3 1
 
3.3%
4 2
6.7%
11 1
 
3.3%
12 1
 
3.3%
14 1
 
3.3%
16 1
 
3.3%
17 1
 
3.3%
ValueCountFrequency (%)
116 1
3.3%
85 1
3.3%
68 1
3.3%
61 1
3.3%
52 1
3.3%
49 2
6.7%
46 1
3.3%
43 1
3.3%
40 1
3.3%
33 1
3.3%

패션잡화(C09)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.166667
Minimum0
Maximum133
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:18.605827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median7
Q313.75
95-th percentile49.55
Maximum133
Range133
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation26.216714
Coefficient of variation (CV)1.8505916
Kurtosis15.364059
Mean14.166667
Median Absolute Deviation (MAD)6.5
Skewness3.7046974
Sum425
Variance687.31609
MonotonicityNot monotonic
2023-12-10T23:58:18.900839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 7
23.3%
3 3
 
10.0%
7 2
 
6.7%
4 2
 
6.7%
18 1
 
3.3%
22 1
 
3.3%
68 1
 
3.3%
8 1
 
3.3%
1 1
 
3.3%
21 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 7
23.3%
1 1
 
3.3%
2 1
 
3.3%
3 3
10.0%
4 2
 
6.7%
7 2
 
6.7%
8 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
133 1
3.3%
68 1
3.3%
27 1
3.3%
25 1
3.3%
22 1
3.3%
21 1
3.3%
18 1
3.3%
14 1
3.3%
13 1
3.3%
12 1
3.3%

화장품/미용(C10)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.966667
Minimum0
Maximum85
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:19.142812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q324.25
95-th percentile42
Maximum85
Range85
Interquartile range (IQR)23.25

Descriptive statistics

Standard deviation18.423155
Coefficient of variation (CV)1.2309458
Kurtosis6.3900287
Mean14.966667
Median Absolute Deviation (MAD)10
Skewness2.1761352
Sum449
Variance339.41264
MonotonicityNot monotonic
2023-12-10T23:58:19.387337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 7
23.3%
26 3
 
10.0%
21 2
 
6.7%
9 2
 
6.7%
1 2
 
6.7%
5 2
 
6.7%
51 1
 
3.3%
14 1
 
3.3%
22 1
 
3.3%
31 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 7
23.3%
1 2
 
6.7%
2 1
 
3.3%
3 1
 
3.3%
5 2
 
6.7%
9 2
 
6.7%
11 1
 
3.3%
12 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
85 1
 
3.3%
51 1
 
3.3%
31 1
 
3.3%
30 1
 
3.3%
26 3
10.0%
25 1
 
3.3%
22 1
 
3.3%
21 2
6.7%
14 1
 
3.3%
13 1
 
3.3%

홈스토리_시청채널수(I0001_N_CST)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.533333
Minimum0
Maximum392
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:19.603383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314.75
95-th percentile60.7
Maximum392
Range392
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation72.091768
Coefficient of variation (CV)3.0633896
Kurtosis25.62756
Mean23.533333
Median Absolute Deviation (MAD)0
Skewness4.922224
Sum706
Variance5197.223
MonotonicityNot monotonic
2023-12-10T23:58:19.840735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 18
60.0%
8 2
 
6.7%
53 2
 
6.7%
7 1
 
3.3%
67 1
 
3.3%
392 1
 
3.3%
43 1
 
3.3%
11 1
 
3.3%
26 1
 
3.3%
22 1
 
3.3%
ValueCountFrequency (%)
0 18
60.0%
7 1
 
3.3%
8 2
 
6.7%
11 1
 
3.3%
16 1
 
3.3%
22 1
 
3.3%
26 1
 
3.3%
43 1
 
3.3%
53 2
 
6.7%
67 1
 
3.3%
ValueCountFrequency (%)
392 1
3.3%
67 1
3.3%
53 2
6.7%
43 1
3.3%
26 1
3.3%
22 1
3.3%
16 1
3.3%
11 1
3.3%
8 2
6.7%
7 1
3.3%

홈스토리_시청시간(I0001_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean433.56667
Minimum0
Maximum2451
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:20.056456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3660.25
95-th percentile2237.75
Maximum2451
Range2451
Interquartile range (IQR)660.25

Descriptive statistics

Standard deviation722.43309
Coefficient of variation (CV)1.6662561
Kurtosis2.7556571
Mean433.56667
Median Absolute Deviation (MAD)0
Skewness1.8753031
Sum13007
Variance521909.56
MonotonicityNot monotonic
2023-12-10T23:58:20.278025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 17
56.7%
2393 1
 
3.3%
2048 1
 
3.3%
2451 1
 
3.3%
1127 1
 
3.3%
658 1
 
3.3%
327 1
 
3.3%
196 1
 
3.3%
1030 1
 
3.3%
661 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 17
56.7%
34 1
 
3.3%
196 1
 
3.3%
327 1
 
3.3%
509 1
 
3.3%
658 1
 
3.3%
661 1
 
3.3%
748 1
 
3.3%
825 1
 
3.3%
1030 1
 
3.3%
ValueCountFrequency (%)
2451 1
3.3%
2393 1
3.3%
2048 1
3.3%
1127 1
3.3%
1030 1
3.3%
825 1
3.3%
748 1
3.3%
661 1
3.3%
658 1
3.3%
509 1
3.3%

영화_시청채널수(I0003_N_CST)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7666667
Minimum0
Maximum14
Zeros21
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:20.505635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.75
95-th percentile8.75
Maximum14
Range14
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation3.460948
Coefficient of variation (CV)1.9590272
Kurtosis5.6619757
Mean1.7666667
Median Absolute Deviation (MAD)0
Skewness2.3710977
Sum53
Variance11.978161
MonotonicityNot monotonic
2023-12-10T23:58:20.800595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 21
70.0%
3 2
 
6.7%
5 2
 
6.7%
6 1
 
3.3%
14 1
 
3.3%
2 1
 
3.3%
11 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 21
70.0%
2 1
 
3.3%
3 2
 
6.7%
4 1
 
3.3%
5 2
 
6.7%
6 1
 
3.3%
11 1
 
3.3%
14 1
 
3.3%
ValueCountFrequency (%)
14 1
 
3.3%
11 1
 
3.3%
6 1
 
3.3%
5 2
 
6.7%
4 1
 
3.3%
3 2
 
6.7%
2 1
 
3.3%
0 21
70.0%

영화_시청시간(I0003_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.066667
Minimum0
Maximum467
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:21.027319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q365.25
95-th percentile242.3
Maximum467
Range467
Interquartile range (IQR)65.25

Descriptive statistics

Standard deviation104.16828
Coefficient of variation (CV)1.96297
Kurtosis8.2986824
Mean53.066667
Median Absolute Deviation (MAD)0
Skewness2.7323734
Sum1592
Variance10851.03
MonotonicityNot monotonic
2023-12-10T23:58:21.251490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 17
56.7%
60 1
 
3.3%
22 1
 
3.3%
89 1
 
3.3%
467 1
 
3.3%
228 1
 
3.3%
102 1
 
3.3%
175 1
 
3.3%
70 1
 
3.3%
67 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 17
56.7%
2 1
 
3.3%
11 1
 
3.3%
22 1
 
3.3%
45 1
 
3.3%
60 1
 
3.3%
67 1
 
3.3%
70 1
 
3.3%
89 1
 
3.3%
102 1
 
3.3%
ValueCountFrequency (%)
467 1
3.3%
254 1
3.3%
228 1
3.3%
175 1
3.3%
102 1
3.3%
89 1
3.3%
70 1
3.3%
67 1
3.3%
60 1
3.3%
45 1
3.3%

뷰티_시청채널수(I0004_N_CST)
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
24 
1
4 
5
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 24
80.0%
1 4
 
13.3%
5 1
 
3.3%
2 1
 
3.3%

Length

2023-12-10T23:58:21.612241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:21.904732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
80.0%
1 4
 
13.3%
5 1
 
3.3%
2 1
 
3.3%

뷰티_시청시간(I0004_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.7
Minimum0
Maximum219
Zeros24
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:22.158051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile156.75
Maximum219
Range219
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.826177
Coefficient of variation (CV)2.6969168
Kurtosis7.7624819
Mean20.7
Median Absolute Deviation (MAD)0
Skewness2.9049645
Sum621
Variance3116.5621
MonotonicityNot monotonic
2023-12-10T23:58:22.387795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 24
80.0%
219 1
 
3.3%
66 1
 
3.3%
28 1
 
3.3%
110 1
 
3.3%
195 1
 
3.3%
3 1
 
3.3%
ValueCountFrequency (%)
0 24
80.0%
3 1
 
3.3%
28 1
 
3.3%
66 1
 
3.3%
110 1
 
3.3%
195 1
 
3.3%
219 1
 
3.3%
ValueCountFrequency (%)
219 1
 
3.3%
195 1
 
3.3%
110 1
 
3.3%
66 1
 
3.3%
28 1
 
3.3%
3 1
 
3.3%
0 24
80.0%

생활건강_시청채널수(I0005_N_CST)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1666667
Minimum0
Maximum48
Zeros22
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:22.683840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile22.3
Maximum48
Range48
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation10.305952
Coefficient of variation (CV)2.4734284
Kurtosis11.4869
Mean4.1666667
Median Absolute Deviation (MAD)0
Skewness3.2331406
Sum125
Variance106.21264
MonotonicityNot monotonic
2023-12-10T23:58:23.209393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 22
73.3%
48 1
 
3.3%
10 1
 
3.3%
19 1
 
3.3%
25 1
 
3.3%
1 1
 
3.3%
13 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
ValueCountFrequency (%)
0 22
73.3%
1 1
 
3.3%
4 1
 
3.3%
5 1
 
3.3%
10 1
 
3.3%
13 1
 
3.3%
19 1
 
3.3%
25 1
 
3.3%
48 1
 
3.3%
ValueCountFrequency (%)
48 1
 
3.3%
25 1
 
3.3%
19 1
 
3.3%
13 1
 
3.3%
10 1
 
3.3%
5 1
 
3.3%
4 1
 
3.3%
1 1
 
3.3%
0 22
73.3%

생활건강_시청시간(I0005_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.6
Minimum0
Maximum2139
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:23.722692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q377.75
95-th percentile502.2
Maximum2139
Range2139
Interquartile range (IQR)77.75

Descriptive statistics

Standard deviation406.24026
Coefficient of variation (CV)2.7523053
Kurtosis21.238149
Mean147.6
Median Absolute Deviation (MAD)0
Skewness4.3785567
Sum4428
Variance165031.14
MonotonicityNot monotonic
2023-12-10T23:58:24.236743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 20
66.7%
80 1
 
3.3%
71 1
 
3.3%
412 1
 
3.3%
7 1
 
3.3%
308 1
 
3.3%
2139 1
 
3.3%
322 1
 
3.3%
154 1
 
3.3%
576 1
 
3.3%
ValueCountFrequency (%)
0 20
66.7%
7 1
 
3.3%
71 1
 
3.3%
80 1
 
3.3%
154 1
 
3.3%
308 1
 
3.3%
322 1
 
3.3%
359 1
 
3.3%
412 1
 
3.3%
576 1
 
3.3%
ValueCountFrequency (%)
2139 1
3.3%
576 1
3.3%
412 1
3.3%
359 1
3.3%
322 1
3.3%
308 1
3.3%
154 1
3.3%
80 1
3.3%
71 1
3.3%
7 1
3.3%

스포츠_시청채널수(I0006_N_CST)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.9
Minimum0
Maximum663
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:24.500422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q354.75
95-th percentile469.35
Maximum663
Range663
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation169.79752
Coefficient of variation (CV)2.2371214
Kurtosis7.4034825
Mean75.9
Median Absolute Deviation (MAD)0
Skewness2.7896764
Sum2277
Variance28831.197
MonotonicityNot monotonic
2023-12-10T23:58:24.710784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 20
66.7%
39 1
 
3.3%
621 1
 
3.3%
663 1
 
3.3%
51 1
 
3.3%
245 1
 
3.3%
140 1
 
3.3%
284 1
 
3.3%
102 1
 
3.3%
76 1
 
3.3%
ValueCountFrequency (%)
0 20
66.7%
39 1
 
3.3%
51 1
 
3.3%
56 1
 
3.3%
76 1
 
3.3%
102 1
 
3.3%
140 1
 
3.3%
245 1
 
3.3%
284 1
 
3.3%
621 1
 
3.3%
ValueCountFrequency (%)
663 1
3.3%
621 1
3.3%
284 1
3.3%
245 1
3.3%
140 1
3.3%
102 1
3.3%
76 1
3.3%
56 1
3.3%
51 1
3.3%
39 1
3.3%

스포츠_시청시간(I0006_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2481.9667
Minimum0
Maximum23328
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:24.911961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33728.5
95-th percentile9703.35
Maximum23328
Range23328
Interquartile range (IQR)3728.5

Descriptive statistics

Standard deviation4908.0551
Coefficient of variation (CV)1.9774863
Kurtosis11.032431
Mean2481.9667
Median Absolute Deviation (MAD)0
Skewness3.039457
Sum74459
Variance24089005
MonotonicityNot monotonic
2023-12-10T23:58:25.154324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 17
56.7%
11124 1
 
3.3%
5178 1
 
3.3%
357 1
 
3.3%
4000 1
 
3.3%
7967 1
 
3.3%
1638 1
 
3.3%
2914 1
 
3.3%
1202 1
 
3.3%
5288 1
 
3.3%
Other values (4) 4
 
13.3%
ValueCountFrequency (%)
0 17
56.7%
44 1
 
3.3%
357 1
 
3.3%
1202 1
 
3.3%
1638 1
 
3.3%
2914 1
 
3.3%
4000 1
 
3.3%
4434 1
 
3.3%
5178 1
 
3.3%
5288 1
 
3.3%
ValueCountFrequency (%)
23328 1
3.3%
11124 1
3.3%
7967 1
3.3%
6985 1
3.3%
5288 1
3.3%
5178 1
3.3%
4434 1
3.3%
4000 1
3.3%
2914 1
3.3%
1638 1
3.3%

먹방_시청채널수(I0007_N_CST)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.166667
Minimum0
Maximum339
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:25.418307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q350.25
95-th percentile197.95
Maximum339
Range339
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation79.446396
Coefficient of variation (CV)1.7208606
Kurtosis5.8299175
Mean46.166667
Median Absolute Deviation (MAD)2.5
Skewness2.3455412
Sum1385
Variance6311.7299
MonotonicityNot monotonic
2023-12-10T23:58:25.660321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 15
50.0%
27 1
 
3.3%
202 1
 
3.3%
71 1
 
3.3%
13 1
 
3.3%
5 1
 
3.3%
37 1
 
3.3%
42 1
 
3.3%
104 1
 
3.3%
80 1
 
3.3%
Other values (6) 6
 
20.0%
ValueCountFrequency (%)
0 15
50.0%
5 1
 
3.3%
13 1
 
3.3%
27 1
 
3.3%
33 1
 
3.3%
36 1
 
3.3%
37 1
 
3.3%
42 1
 
3.3%
53 1
 
3.3%
71 1
 
3.3%
ValueCountFrequency (%)
339 1
3.3%
202 1
3.3%
193 1
3.3%
150 1
3.3%
104 1
3.3%
80 1
3.3%
71 1
3.3%
53 1
3.3%
42 1
3.3%
37 1
3.3%

먹방_시청시간(I0007_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean580.3
Minimum0
Maximum3642
Zeros21
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:25.898014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3756
95-th percentile3159.3
Maximum3642
Range3642
Interquartile range (IQR)756

Descriptive statistics

Standard deviation1083.386
Coefficient of variation (CV)1.8669413
Kurtosis2.4703043
Mean580.3
Median Absolute Deviation (MAD)0
Skewness1.8758596
Sum17409
Variance1173725.3
MonotonicityNot monotonic
2023-12-10T23:58:26.110227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 21
70.0%
789 1
 
3.3%
1400 1
 
3.3%
3423 1
 
3.3%
1912 1
 
3.3%
799 1
 
3.3%
2837 1
 
3.3%
1950 1
 
3.3%
657 1
 
3.3%
3642 1
 
3.3%
ValueCountFrequency (%)
0 21
70.0%
657 1
 
3.3%
789 1
 
3.3%
799 1
 
3.3%
1400 1
 
3.3%
1912 1
 
3.3%
1950 1
 
3.3%
2837 1
 
3.3%
3423 1
 
3.3%
3642 1
 
3.3%
ValueCountFrequency (%)
3642 1
 
3.3%
3423 1
 
3.3%
2837 1
 
3.3%
1950 1
 
3.3%
1912 1
 
3.3%
1400 1
 
3.3%
799 1
 
3.3%
789 1
 
3.3%
657 1
 
3.3%
0 21
70.0%

대중음악_시청채널수(I0008_N_CST)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1666667
Minimum0
Maximum54
Zeros23
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:26.335120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile29.1
Maximum54
Range54
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.157255
Coefficient of variation (CV)2.9177412
Kurtosis11.563952
Mean4.1666667
Median Absolute Deviation (MAD)0
Skewness3.4235977
Sum125
Variance147.79885
MonotonicityNot monotonic
2023-12-10T23:58:26.582966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 23
76.7%
2 2
 
6.7%
17 1
 
3.3%
3 1
 
3.3%
54 1
 
3.3%
39 1
 
3.3%
8 1
 
3.3%
ValueCountFrequency (%)
0 23
76.7%
2 2
 
6.7%
3 1
 
3.3%
8 1
 
3.3%
17 1
 
3.3%
39 1
 
3.3%
54 1
 
3.3%
ValueCountFrequency (%)
54 1
 
3.3%
39 1
 
3.3%
17 1
 
3.3%
8 1
 
3.3%
3 1
 
3.3%
2 2
 
6.7%
0 23
76.7%

대중음악_시청시간I0008_VIEW_TM)
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
59
 
1
161
 
1
109
 
1
744
 
1

Length

Max length3
Median length1
Mean length1.2333333
Min length1

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row0
2nd row0
3rd row59
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 26
86.7%
59 1
 
3.3%
161 1
 
3.3%
109 1
 
3.3%
744 1
 
3.3%

Length

2023-12-10T23:58:26.855303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:58:27.065979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
59 1
 
3.3%
161 1
 
3.3%
109 1
 
3.3%
744 1
 
3.3%

육아_예능_시청채널수(I0009_N_CST)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum0
Maximum73
Zeros22
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:27.271693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.75
95-th percentile42.7
Maximum73
Range73
Interquartile range (IQR)0.75

Descriptive statistics

Standard deviation17.135867
Coefficient of variation (CV)2.6362872
Kurtosis9.8225602
Mean6.5
Median Absolute Deviation (MAD)0
Skewness3.1705284
Sum195
Variance293.63793
MonotonicityNot monotonic
2023-12-10T23:58:27.512575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 22
73.3%
73 1
 
3.3%
24 1
 
3.3%
4 1
 
3.3%
19 1
 
3.3%
1 1
 
3.3%
6 1
 
3.3%
58 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
0 22
73.3%
1 1
 
3.3%
4 1
 
3.3%
6 1
 
3.3%
10 1
 
3.3%
19 1
 
3.3%
24 1
 
3.3%
58 1
 
3.3%
73 1
 
3.3%
ValueCountFrequency (%)
73 1
 
3.3%
58 1
 
3.3%
24 1
 
3.3%
19 1
 
3.3%
10 1
 
3.3%
6 1
 
3.3%
4 1
 
3.3%
1 1
 
3.3%
0 22
73.3%

육아_예능_시청시간(I0009_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.1
Minimum0
Maximum2968
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:27.731865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3614
95-th percentile1477.55
Maximum2968
Range2968
Interquartile range (IQR)614

Descriptive statistics

Standard deviation657.28713
Coefficient of variation (CV)1.7807833
Kurtosis7.9885783
Mean369.1
Median Absolute Deviation (MAD)0
Skewness2.5816009
Sum11073
Variance432026.37
MonotonicityNot monotonic
2023-12-10T23:58:27.937063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 19
63.3%
546 1
 
3.3%
625 1
 
3.3%
1721 1
 
3.3%
562 1
 
3.3%
593 1
 
3.3%
1180 1
 
3.3%
826 1
 
3.3%
2968 1
 
3.3%
621 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 19
63.3%
546 1
 
3.3%
562 1
 
3.3%
593 1
 
3.3%
621 1
 
3.3%
625 1
 
3.3%
668 1
 
3.3%
763 1
 
3.3%
826 1
 
3.3%
1180 1
 
3.3%
ValueCountFrequency (%)
2968 1
3.3%
1721 1
3.3%
1180 1
3.3%
826 1
3.3%
763 1
3.3%
668 1
3.3%
625 1
3.3%
621 1
3.3%
593 1
3.3%
562 1
3.3%

키즈_시청채널수(I0010_N_CST)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106
Minimum0
Maximum1063
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:28.182156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q331
95-th percentile789
Maximum1063
Range1063
Interquartile range (IQR)31

Descriptive statistics

Standard deviation273.01926
Coefficient of variation (CV)2.5756534
Kurtosis6.979552
Mean106
Median Absolute Deviation (MAD)0
Skewness2.7977001
Sum3180
Variance74539.517
MonotonicityNot monotonic
2023-12-10T23:58:28.395814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 18
60.0%
38 1
 
3.3%
915 1
 
3.3%
10 1
 
3.3%
6 1
 
3.3%
57 1
 
3.3%
635 1
 
3.3%
60 1
 
3.3%
2 1
 
3.3%
1063 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 18
60.0%
2 1
 
3.3%
4 1
 
3.3%
6 1
 
3.3%
10 1
 
3.3%
38 1
 
3.3%
47 1
 
3.3%
57 1
 
3.3%
60 1
 
3.3%
343 1
 
3.3%
ValueCountFrequency (%)
1063 1
3.3%
915 1
3.3%
635 1
3.3%
343 1
3.3%
60 1
3.3%
57 1
3.3%
47 1
3.3%
38 1
3.3%
10 1
3.3%
6 1
3.3%

키즈_시청시간(I0010_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1715.5667
Minimum0
Maximum15000
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:28.605681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median35.5
Q31326
95-th percentile9591.5
Maximum15000
Range15000
Interquartile range (IQR)1326

Descriptive statistics

Standard deviation3649.3234
Coefficient of variation (CV)2.1271825
Kurtosis6.7266055
Mean1715.5667
Median Absolute Deviation (MAD)35.5
Skewness2.6352933
Sum51467
Variance13317561
MonotonicityNot monotonic
2023-12-10T23:58:28.812586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 13
43.3%
180 1
 
3.3%
3 1
 
3.3%
61 1
 
3.3%
1404 1
 
3.3%
111 1
 
3.3%
15000 1
 
3.3%
1641 1
 
3.3%
7166 1
 
3.3%
1092 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 13
43.3%
3 1
 
3.3%
35 1
 
3.3%
36 1
 
3.3%
61 1
 
3.3%
111 1
 
3.3%
180 1
 
3.3%
292 1
 
3.3%
496 1
 
3.3%
1092 1
 
3.3%
ValueCountFrequency (%)
15000 1
3.3%
11576 1
3.3%
7166 1
3.3%
6265 1
3.3%
3059 1
3.3%
3050 1
3.3%
1641 1
3.3%
1404 1
3.3%
1092 1
3.3%
496 1
3.3%

홈쇼핑_시청채널수(I0011_N_CST)
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.4
Minimum0
Maximum206
Zeros22
Zeros (%)73.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:28.977078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38.25
95-th percentile158.55
Maximum206
Range206
Interquartile range (IQR)8.25

Descriptive statistics

Standard deviation58.615403
Coefficient of variation (CV)1.9937212
Kurtosis2.6454644
Mean29.4
Median Absolute Deviation (MAD)0
Skewness1.9305878
Sum882
Variance3435.7655
MonotonicityNot monotonic
2023-12-10T23:58:29.153104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 22
73.3%
168 1
 
3.3%
67 1
 
3.3%
70 1
 
3.3%
11 1
 
3.3%
206 1
 
3.3%
130 1
 
3.3%
147 1
 
3.3%
83 1
 
3.3%
ValueCountFrequency (%)
0 22
73.3%
11 1
 
3.3%
67 1
 
3.3%
70 1
 
3.3%
83 1
 
3.3%
130 1
 
3.3%
147 1
 
3.3%
168 1
 
3.3%
206 1
 
3.3%
ValueCountFrequency (%)
206 1
 
3.3%
168 1
 
3.3%
147 1
 
3.3%
130 1
 
3.3%
83 1
 
3.3%
70 1
 
3.3%
67 1
 
3.3%
11 1
 
3.3%
0 22
73.3%

홈쇼핑_시청시간(I0011_VIEW_TM)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean564.03333
Minimum0
Maximum5131
Zeros20
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:29.363995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3494.75
95-th percentile2828.15
Maximum5131
Range5131
Interquartile range (IQR)494.75

Descriptive statistics

Standard deviation1177.6271
Coefficient of variation (CV)2.0878679
Kurtosis7.6616845
Mean564.03333
Median Absolute Deviation (MAD)0
Skewness2.6763035
Sum16921
Variance1386805.6
MonotonicityNot monotonic
2023-12-10T23:58:29.598135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 20
66.7%
1599 1
 
3.3%
579 1
 
3.3%
3203 1
 
3.3%
1024 1
 
3.3%
2370 1
 
3.3%
1623 1
 
3.3%
242 1
 
3.3%
5131 1
 
3.3%
212 1
 
3.3%
ValueCountFrequency (%)
0 20
66.7%
212 1
 
3.3%
242 1
 
3.3%
579 1
 
3.3%
938 1
 
3.3%
1024 1
 
3.3%
1599 1
 
3.3%
1623 1
 
3.3%
2370 1
 
3.3%
3203 1
 
3.3%
ValueCountFrequency (%)
5131 1
3.3%
3203 1
3.3%
2370 1
3.3%
1623 1
3.3%
1599 1
3.3%
1024 1
3.3%
938 1
3.3%
579 1
3.3%
242 1
3.3%
212 1
3.3%

총수신평잔_총액(DEP_TOT_AVJN_TOT)
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5
Minimum0
Maximum33
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:30.249476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q310
95-th percentile23.75
Maximum33
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.1830053
Coefficient of variation (CV)1.2244007
Kurtosis0.74331872
Mean7.5
Median Absolute Deviation (MAD)6
Skewness1.1918471
Sum225
Variance84.327586
MonotonicityNot monotonic
2023-12-10T23:58:30.486381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 14
46.7%
10 3
 
10.0%
8 3
 
10.0%
6 2
 
6.7%
20 2
 
6.7%
26 1
 
3.3%
9 1
 
3.3%
21 1
 
3.3%
33 1
 
3.3%
11 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
6 2
 
6.7%
8 3
 
10.0%
9 1
 
3.3%
10 3
 
10.0%
11 1
 
3.3%
19 1
 
3.3%
20 2
 
6.7%
21 1
 
3.3%
26 1
 
3.3%
ValueCountFrequency (%)
33 1
 
3.3%
26 1
 
3.3%
21 1
 
3.3%
20 2
6.7%
19 1
 
3.3%
11 1
 
3.3%
10 3
10.0%
9 1
 
3.3%
8 3
10.0%
6 2
6.7%

총수신평잔_건수(DEP_TOT_AVJN_N)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18790449
Minimum0
Maximum1.3866787 × 108
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:30.961708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q323718112
95-th percentile78231424
Maximum1.3866787 × 108
Range1.3866787 × 108
Interquartile range (IQR)23718112

Descriptive statistics

Standard deviation31736417
Coefficient of variation (CV)1.6889653
Kurtosis6.4679955
Mean18790449
Median Absolute Deviation (MAD)0
Skewness2.4034263
Sum5.6371347 × 108
Variance1.0072002 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:31.352066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 16
53.3%
31271573.0 1
 
3.3%
38466395.0 1
 
3.3%
9655096.998 1
 
3.3%
14562756.0 1
 
3.3%
15288661.0 1
 
3.3%
17795909.0 1
 
3.3%
76277484.0 1
 
3.3%
11373334.0 1
 
3.3%
138667872.0 1
 
3.3%
Other values (5) 5
 
16.7%
ValueCountFrequency (%)
0.0 16
53.3%
9655096.998 1
 
3.3%
11373334.0 1
 
3.3%
14562756.0 1
 
3.3%
14913159.0 1
 
3.3%
15288661.0 1
 
3.3%
17795909.0 1
 
3.3%
25692179.0 1
 
3.3%
31271573.0 1
 
3.3%
38466395.0 1
 
3.3%
ValueCountFrequency (%)
138667872.0 1
3.3%
79830103.0 1
3.3%
76277484.0 1
3.3%
47557209.01 1
3.3%
42361738.0 1
3.3%
38466395.0 1
3.3%
31271573.0 1
3.3%
25692179.0 1
3.3%
17795909.0 1
3.3%
15288661.0 1
3.3%

유동성급여_유동성연금_입금_건수(I_PAY_PENS_AMT_N)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.266667
Minimum0
Maximum132
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:31.716497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median24
Q348
95-th percentile88.2
Maximum132
Range132
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation32.80342
Coefficient of variation (CV)1.0838134
Kurtosis1.8930589
Mean30.266667
Median Absolute Deviation (MAD)24
Skewness1.4057414
Sum908
Variance1076.0644
MonotonicityNot monotonic
2023-12-10T23:58:31.995538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 8
26.7%
26 3
 
10.0%
132 1
 
3.3%
74 1
 
3.3%
59 1
 
3.3%
30 1
 
3.3%
14 1
 
3.3%
28 1
 
3.3%
39 1
 
3.3%
62 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 8
26.7%
7 1
 
3.3%
10 1
 
3.3%
13 1
 
3.3%
14 1
 
3.3%
15 1
 
3.3%
18 1
 
3.3%
23 1
 
3.3%
25 1
 
3.3%
26 3
 
10.0%
ValueCountFrequency (%)
132 1
3.3%
90 1
3.3%
86 1
3.3%
74 1
3.3%
62 1
3.3%
59 1
3.3%
54 1
3.3%
51 1
3.3%
39 1
3.3%
30 1
3.3%

유동성급여_유동성연금_입금_총액(I_PAY_PENS_AMT_TOT)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60523217
Minimum0
Maximum1.9623104 × 108
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:32.275220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116815626
median48851331
Q396250231
95-th percentile1.6010206 × 108
Maximum1.9623104 × 108
Range1.9623104 × 108
Interquartile range (IQR)79434605

Descriptive statistics

Standard deviation54878544
Coefficient of variation (CV)0.90673541
Kurtosis-0.14935326
Mean60523217
Median Absolute Deviation (MAD)47037309
Skewness0.75940158
Sum1.8156965 × 109
Variance3.0116546 × 1015
MonotonicityNot monotonic
2023-12-10T23:58:32.702272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 7
23.3%
101349573.0 1
 
3.3%
124439938.0 1
 
3.3%
51149394.0 1
 
3.3%
88727232.98 1
 
3.3%
112670279.0 1
 
3.3%
21344726.01 1
 
3.3%
41254242.02 1
 
3.3%
20792315.0 1
 
3.3%
37840022.01 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0.0 7
23.3%
15490063.0 1
 
3.3%
20792315.0 1
 
3.3%
21344726.01 1
 
3.3%
28387988.99 1
 
3.3%
36935236.99 1
 
3.3%
37840022.01 1
 
3.3%
41254242.02 1
 
3.3%
46553267.01 1
 
3.3%
51149394.0 1
 
3.3%
ValueCountFrequency (%)
196231045.0 1
3.3%
166860868.0 1
3.3%
151841298.0 1
3.3%
124439938.0 1
3.3%
115614201.0 1
3.3%
112670279.0 1
3.3%
101349573.0 1
3.3%
96611821.99 1
3.3%
95165456.99 1
3.3%
88727232.98 1
3.3%

신용카드_체크카드_현금소비_현금인출_건수(C_TOT_AMT_N)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.933333
Minimum0
Maximum208
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:32.957042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median58
Q386.75
95-th percentile140.55
Maximum208
Range208
Interquartile range (IQR)83.75

Descriptive statistics

Standard deviation53.375012
Coefficient of variation (CV)0.9056846
Kurtosis0.42859381
Mean58.933333
Median Absolute Deviation (MAD)44.5
Skewness0.76606387
Sum1768
Variance2848.892
MonotonicityNot monotonic
2023-12-10T23:58:33.204408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 8
26.7%
79 1
 
3.3%
140 1
 
3.3%
61 1
 
3.3%
81 1
 
3.3%
115 1
 
3.3%
68 1
 
3.3%
57 1
 
3.3%
141 1
 
3.3%
59 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
0 8
26.7%
12 1
 
3.3%
15 1
 
3.3%
26 1
 
3.3%
38 1
 
3.3%
45 1
 
3.3%
51 1
 
3.3%
57 1
 
3.3%
59 1
 
3.3%
61 1
 
3.3%
ValueCountFrequency (%)
208 1
3.3%
141 1
3.3%
140 1
3.3%
116 1
3.3%
115 1
3.3%
110 1
3.3%
100 1
3.3%
87 1
3.3%
86 1
3.3%
81 1
3.3%

신용카드_체크카드_현금소비_현금인출_총액(C_TOT_AMT_TOT)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4437462 × 108
Minimum0
Maximum2.9176697 × 109
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:58:33.420234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149831265
median1.0357502 × 108
Q32.5880397 × 108
95-th percentile4.8242612 × 108
Maximum2.9176697 × 109
Range2.9176697 × 109
Interquartile range (IQR)2.089727 × 108

Descriptive statistics

Standard deviation5.2486712 × 108
Coefficient of variation (CV)2.1477972
Kurtosis25.231531
Mean2.4437462 × 108
Median Absolute Deviation (MAD)1.0357502 × 108
Skewness4.8528613
Sum7.3312386 × 109
Variance2.754855 × 1017
MonotonicityNot monotonic
2023-12-10T23:58:33.678404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 6
 
20.0%
241992642.4 1
 
3.3%
17053121.45 1
 
3.3%
89838577.84 1
 
3.3%
109591297.0 1
 
3.3%
257156398.4 1
 
3.3%
158056464.5 1
 
3.3%
280439030.1 1
 
3.3%
528359017.4 1
 
3.3%
97115016.68 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
0.0 6
20.0%
17053121.45 1
 
3.3%
47811168.33 1
 
3.3%
55891555.18 1
 
3.3%
65235328.06 1
 
3.3%
68804313.06 1
 
3.3%
79941234.78 1
 
3.3%
89838577.84 1
 
3.3%
97115016.68 1
 
3.3%
97558738.34 1
 
3.3%
ValueCountFrequency (%)
2917669689.0 1
3.3%
528359017.4 1
3.3%
426285922.6 1
3.3%
383885753.0 1
3.3%
353372882.0 1
3.3%
295236211.8 1
3.3%
280439030.1 1
3.3%
259353155.4 1
3.3%
257156398.4 1
3.3%
241992642.4 1
3.3%

Sample

그리드코드(GRID50_ID)상권코드(TRDAR_NO)기준년월(BASE_YYMM)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*9*2*1*0*9*520191211000000000010000100001000106100000001401000052000300000231300100000000000000000000010000381025020210000000000005031007404107100011401213735751011635180001008001112427000000180168000.00101349573.079241992642.4
1G*0*0*9*2*1*0*9*520190300000000000011000106050100100100100000700000000300003000003032000000000000000000000001000010070100600010000000267340011504101006170020112912250670281013003002190005178330000000002631271573.000.0116240761943.9
2G*0*0*0*2*1*0*9*3201910000002000000400131110200000104000200002300000001000000000000400000000000000000000000000000780500041000000000008523400400000001201100211135097412133002393600000035700059730011576001038466395.000.01555891555.18
3G*0*1*6*8*1*0*3*220190910010310200040000015010000300200013000104100001004120000100610000000000100000000000000000105012020000001000000008020008006001300090031261536018019921000000071390537892000030500159900.018196231045.00121290287.0
4G*0*1*7*6*1*0*1*420190600100200000000000103008001000200021200720100002212001000010002000100000000000000000000010013301700027000000000009371000004000033401500904217360130850857006000041200000024546382920009655096.998230.011097558738.34
5G*0*1*8*4*1*0*6*52019050000010000002001110240100100021000030023030300001101001000000000000000000100000000000000002801202017000000100008010001600610101001003141020011490472600022004806210339017046259150057900.000.0380.0
6G*0*0*4*7*1*0*1*32019060000000000000002001221001010000000000010601020190011000000150000000000000001000000000000031704000140000000000043200027010060002211031411162641103167204808900100663000000172110003203814562756.015166860868.00383885753.0
7G*0*1*9*9*1*0*4*120190700000010000000112003800002202020003161021030000033001300200010120000000000000000000000000000182201300002000000000000015100032051000023001015747159033230024510000190001930300562030590090.01328387988.9986353372882.0
8G*0*0*0*0*1*0*6*72019051000000000002003010770100001000001050011021100600010100100010310000000000000000000000000001170030000800000000000049174000000100000100006172012190003392112700002500000000593000000.02636935236.995165235328.06
9G*0*0*5*4*1*0*8*12019050100000000000001010001003010010001300200106003111002701001117000000000000000000000000010010801700064000000000001271000200002206000011185426167449111200046706617003602000600102480.02615490063.0208138538894.3
그리드코드(GRID50_ID)상권코드(TRDAR_NO)기준년월(BASE_YYMM)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)
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22G*0*1*9*0*1*0*1*320190910000300000000110023100000101101000000000010051510062000140101010000000000000000000000000087016000016000000000000502000640410150315002012146210304102200000001024434528370066210000330.03937840022.01141426285922.6
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24G*0*1*9*5*1*0*3*2201907000007000000400103021310001002000050021010200014000010002110100000000000000000000020100003835000102800010000000620310011002002500010005011701070129020682607480671000001300058001110000.02620792315.068528359017.4
25G*0*2*5*1*1*0*1*32019082001000000000000030210000011130000400020200000090030110011100000000000000000000000000000027011020514000000000011312210070082018011001200522352314492200002030359760000000014040000.0041254242.02115280439030.1
26G*0*1*8*0*1*0*8*1201903000200001000002001120000300140001000001044000010401010000101120030000000000000000000000000017004000590000000000001280009101204020600001133195501446022082504520000233280007441076340021200.01421344726.010158056464.5
27G*0*1*8*3*1*0*1*42019090000030000000004000001010000110040000300002001100215200020056000000000000000000000000000027220130000000001010000122540002020014003400207061260310110053509011005000065700066847610000.030112670279.081257156398.4
28G*0*1*9*4*1*0*6*42019101000111000001002010512000000000181040001000001110020401001303000000000000000000000000000000601900002300000000000922060004010070110001053273657102109000254000056000000034300938110.05988727232.980109591297.0
29G*0*0*4*7*1*0*4*1201907000000000000001000130100001003001130002003000090122004260011010000000000000000000000100000011103000180000000000035270001820300100100120811053330279004000400071364280000000190.07451149394.06189838577.84