Overview

Dataset statistics

Number of variables14
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory119.3 B

Variable types

Categorical11
Numeric3

Alerts

BRDCST_DE has constant value ""Constant
ADVRTS_END_DE has constant value ""Constant
CHNNEL_NM has constant value ""Constant
ADVRTS_MATR_NM is highly overall correlated with ADVRTS_TIME and 5 other fieldsHigh correlation
ADVRTSR_NM is highly overall correlated with ADVRTS_MATR_NM and 5 other fieldsHigh correlation
INDUTY_SCLAS_NM is highly overall correlated with ADVRTS_MATR_NM and 5 other fieldsHigh correlation
BRAND_NM is highly overall correlated with ADVRTS_MATR_NM and 5 other fieldsHigh correlation
INDUTY_MLSFC_NM is highly overall correlated with ADVRTS_MATR_NM and 5 other fieldsHigh correlation
ADVRTS_BEGIN_TIME is highly overall correlated with ADVRTS_TY_NMHigh correlation
ADVRTS_UNTPC_CO is highly overall correlated with WTCHNG_RT and 1 other fieldsHigh correlation
WTCHNG_RT is highly overall correlated with ADVRTS_UNTPC_CO and 1 other fieldsHigh correlation
ADVRTS_TIME is highly overall correlated with ADVRTS_MATR_NM and 6 other fieldsHigh correlation
ADVRTS_TY_NM is highly overall correlated with ADVRTS_BEGIN_TIME and 3 other fieldsHigh correlation
INDUTY_LCLAS_NM is highly overall correlated with ADVRTS_MATR_NM and 5 other fieldsHigh correlation
WTCHNG_RT has 4 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-10 09:44:51.267212
Analysis finished2023-12-10 09:44:55.904824
Duration4.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

BRDCST_DE
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
20210701
101 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210701
2nd row20210701
3rd row20210701
4th row20210701
5th row20210701

Common Values

ValueCountFrequency (%)
20210701 101
100.0%

Length

2023-12-10T18:44:56.020770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:56.214828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210701 101
100.0%

ADVRTS_END_DE
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
20210701
101 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20210701
2nd row20210701
3rd row20210701
4th row20210701
5th row20210701

Common Values

ValueCountFrequency (%)
20210701 101
100.0%

Length

2023-12-10T18:44:56.432557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:56.622036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210701 101
100.0%

CHNNEL_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
KBS2
101 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKBS2
2nd rowKBS2
3rd rowKBS2
4th rowKBS2
5th rowKBS2

Common Values

ValueCountFrequency (%)
KBS2 101
100.0%

Length

2023-12-10T18:44:56.893679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:57.056865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kbs2 101
100.0%

ADVRTS_MATR_NM
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size940.0 B
명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)
16 
포크밸리 (김성주/우리돼지/바라는대로/돼지꿈꾸세요)
 
6
명인메이킨큐 (신구/김영옥/김동준/효과/유쾌상쾌통쾌/변비엔)
 
5
휴온스메노락토프로바이오틱스 (박미선/50대미선이가)
 
4
영구크린 (노래부르는조영구가족/인증획득/휴일이됩니다)
 
4
Other values (43)
66 

Length

Max length41
Median length33
Mean length29.059406
Min length19

Unique

Unique26 ?
Unique (%)25.7%

Sample

1st row명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)
2nd row명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)
3rd row명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)
4th rowKD쇼핑 (실속가격/빠른배송/브랜드언더웨어/구포시장계단상회)
5th row명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)

Common Values

ValueCountFrequency (%)
명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만) 16
 
15.8%
포크밸리 (김성주/우리돼지/바라는대로/돼지꿈꾸세요) 6
 
5.9%
명인메이킨큐 (신구/김영옥/김동준/효과/유쾌상쾌통쾌/변비엔) 5
 
5.0%
휴온스메노락토프로바이오틱스 (박미선/50대미선이가) 4
 
4.0%
영구크린 (노래부르는조영구가족/인증획득/휴일이됩니다) 4
 
4.0%
푸르지오 (PRUGIOFORMEN/남성모델) 4
 
4.0%
에이스뷰 (긴급특보/모든차량에설치가능/똑똑한3D서라운드) 4
 
4.0%
KD쇼핑 (실속가격/빠른배송/브랜드언더웨어/구포시장계단상회) 3
 
3.0%
NH농협은행 (NH자산플러스/강하늘/너자신을알라/너자산을알라) 3
 
3.0%
KT스카이라이프 (이성민/스마트폰쓰는바보/통신비신고/된다고) 2
 
2.0%
Other values (38) 50
49.5%

Length

2023-12-10T18:44:57.244932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
명인이가탄f 16
 
7.9%
인생시계/유동근/김지호/이선균/약국에서만 16
 
7.9%
명인메이킨큐 7
 
3.5%
푸르지오 6
 
3.0%
포크밸리 6
 
3.0%
김성주/우리돼지/바라는대로/돼지꿈꾸세요 6
 
3.0%
신구/김영옥/김동준/효과/유쾌상쾌통쾌/변비엔 5
 
2.5%
긴급특보/모든차량에설치가능/똑똑한3d서라운드 4
 
2.0%
에이스뷰 4
 
2.0%
prugioformen/남성모델 4
 
2.0%
Other values (80) 128
63.4%

ADVRTS_BEGIN_TIME
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)55.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76847.277
Minimum65807
Maximum91712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:57.624534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65807
5-th percentile65822
Q170204
median75908
Q380422
95-th percentile91657
Maximum91712
Range25905
Interquartile range (IQR)10218

Descriptive statistics

Standard deviation7696.5522
Coefficient of variation (CV)0.10015387
Kurtosis-0.60447815
Mean76847.277
Median Absolute Deviation (MAD)4529
Skewness0.23263607
Sum7761575
Variance59236915
MonotonicityIncreasing
2023-12-10T18:44:57.903622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75838 10
 
9.9%
91657 7
 
6.9%
75938 5
 
5.0%
65807 5
 
5.0%
65837 4
 
4.0%
65852 4
 
4.0%
65822 4
 
4.0%
75923 4
 
4.0%
75852 4
 
4.0%
75857 3
 
3.0%
Other values (46) 51
50.5%
ValueCountFrequency (%)
65807 5
5.0%
65822 4
4.0%
65826 1
 
1.0%
65837 4
4.0%
65846 1
 
1.0%
65852 4
4.0%
65916 1
 
1.0%
70049 1
 
1.0%
70104 1
 
1.0%
70119 1
 
1.0%
ValueCountFrequency (%)
91712 2
 
2.0%
91657 7
6.9%
85736 1
 
1.0%
85707 1
 
1.0%
85652 1
 
1.0%
85617 1
 
1.0%
85602 1
 
1.0%
85547 1
 
1.0%
85518 1
 
1.0%
85502 1
 
1.0%

ADVRTS_TIME
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
15
66 
30
17 
20
14 
10
 
3
100
 
1

Length

Max length3
Median length2
Mean length2.009901
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row15
2nd row15
3rd row15
4th row20
5th row15

Common Values

ValueCountFrequency (%)
15 66
65.3%
30 17
 
16.8%
20 14
 
13.9%
10 3
 
3.0%
100 1
 
1.0%

Length

2023-12-10T18:44:58.148311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:58.336243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 66
65.3%
30 17
 
16.8%
20 14
 
13.9%
10 3
 
3.0%
100 1
 
1.0%

ADVRTS_UNTPC_CO
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)36.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1250.599
Minimum20.1
Maximum7132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:44:58.567514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.1
5-th percentile63
Q1114
median276
Q32700
95-th percentile4320
Maximum7132
Range7111.9
Interquartile range (IQR)2586

Descriptive statistics

Standard deviation1500.3426
Coefficient of variation (CV)1.1996991
Kurtosis2.5083058
Mean1250.599
Median Absolute Deviation (MAD)213
Skewness1.4854656
Sum126310.5
Variance2251027.8
MonotonicityNot monotonic
2023-12-10T18:44:58.915801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
2700.0 19
18.8%
2100.0 11
 
10.9%
63.0 7
 
6.9%
203.0 7
 
6.9%
109.0 7
 
6.9%
148.0 4
 
4.0%
750.0 4
 
4.0%
100.1 4
 
4.0%
687.0 3
 
3.0%
197.0 3
 
3.0%
Other values (27) 32
31.7%
ValueCountFrequency (%)
20.1 1
 
1.0%
45.0 1
 
1.0%
51.0 1
 
1.0%
63.0 7
6.9%
83.0 1
 
1.0%
100.0 2
 
2.0%
100.1 4
4.0%
101.0 1
 
1.0%
109.0 7
6.9%
114.0 1
 
1.0%
ValueCountFrequency (%)
7132.0 1
 
1.0%
6720.0 1
 
1.0%
4458.0 2
 
2.0%
4320.0 2
 
2.0%
3360.0 1
 
1.0%
2700.0 19
18.8%
2217.0 1
 
1.0%
2100.0 11
10.9%
1097.0 1
 
1.0%
750.0 4
 
4.0%

ADVRTS_TY_NM
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
토막 B(정상요금)
52 
프로 A(정상요금)
21 
프로 B(정상요금)
13 
토막 A(정상요금)
12 
ID-B
 
3

Length

Max length10
Median length10
Mean length9.8217822
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row토막 B(정상요금)
2nd row토막 B(정상요금)
3rd row토막 B(정상요금)
4th row토막 B(정상요금)
5th row토막 B(정상요금)

Common Values

ValueCountFrequency (%)
토막 B(정상요금) 52
51.5%
프로 A(정상요금) 21
20.8%
프로 B(정상요금) 13
 
12.9%
토막 A(정상요금) 12
 
11.9%
ID-B 3
 
3.0%

Length

2023-12-10T18:44:59.206365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:44:59.479687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b(정상요금 65
32.7%
토막 64
32.2%
프로 34
17.1%
a(정상요금 33
16.6%
id-b 3
 
1.5%

ADVRTSR_NM
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)37.6%
Missing0
Missing (%)0.0%
Memory size940.0 B
명인제약
23 
부경양돈협동조합
6 
대우건설
6 
동국제약
 
5
영구크린
 
4
Other values (33)
57 

Length

Max length12
Median length4
Mean length5.1584158
Min length3

Unique

Unique17 ?
Unique (%)16.8%

Sample

1st row명인제약
2nd row명인제약
3rd row명인제약
4th row대향유통
5th row명인제약

Common Values

ValueCountFrequency (%)
명인제약 23
22.8%
부경양돈협동조합 6
 
5.9%
대우건설 6
 
5.9%
동국제약 5
 
5.0%
영구크린 4
 
4.0%
농협은행 4
 
4.0%
휴온스글로벌 4
 
4.0%
아이엔티코리아 4
 
4.0%
현대자동차 3
 
3.0%
대향유통 3
 
3.0%
Other values (28) 39
38.6%

Length

2023-12-10T18:44:59.780530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
명인제약 23
22.8%
대우건설 6
 
5.9%
부경양돈협동조합 6
 
5.9%
동국제약 5
 
5.0%
영구크린 4
 
4.0%
농협은행 4
 
4.0%
휴온스글로벌 4
 
4.0%
아이엔티코리아 4
 
4.0%
현대자동차 3
 
3.0%
대향유통 3
 
3.0%
Other values (28) 39
38.6%

BRAND_NM
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size940.0 B
명인이가탄F
16 
명인메이킨큐
7 
푸르지오
 
6
포크밸리
 
6
에이스뷰
 
4
Other values (38)
62 

Length

Max length20
Median length17
Mean length6.1584158
Min length2

Unique

Unique21 ?
Unique (%)20.8%

Sample

1st row명인이가탄F
2nd row명인이가탄F
3rd row명인이가탄F
4th rowKD쇼핑
5th row명인이가탄F

Common Values

ValueCountFrequency (%)
명인이가탄F 16
 
15.8%
명인메이킨큐 7
 
6.9%
푸르지오 6
 
5.9%
포크밸리 6
 
5.9%
에이스뷰 4
 
4.0%
영구크린 4
 
4.0%
NH농협은행 4
 
4.0%
휴온스메노락토프로바이오틱스 4
 
4.0%
KD쇼핑 3
 
3.0%
2021쏘나타센슈어스 2
 
2.0%
Other values (33) 45
44.6%

Length

2023-12-10T18:45:00.407713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
명인이가탄f 16
 
15.8%
명인메이킨큐 7
 
6.9%
푸르지오 6
 
5.9%
포크밸리 6
 
5.9%
에이스뷰 4
 
4.0%
영구크린 4
 
4.0%
nh농협은행 4
 
4.0%
휴온스메노락토프로바이오틱스 4
 
4.0%
kd쇼핑 3
 
3.0%
전남도립대학교신입생모집 2
 
2.0%
Other values (33) 45
44.6%

INDUTY_LCLAS_NM
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
제약 및 의료
37 
식품
12 
건설 건재 및 부동산
10 
수송기기
8 
서비스
7 
Other values (9)
27 

Length

Max length11
Median length10
Mean length6.3960396
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row제약 및 의료
2nd row제약 및 의료
3rd row제약 및 의료
4th row유통
5th row제약 및 의료

Common Values

ValueCountFrequency (%)
제약 및 의료 37
36.6%
식품 12
 
11.9%
건설 건재 및 부동산 10
 
9.9%
수송기기 8
 
7.9%
서비스 7
 
6.9%
금융 보험 및 증권 6
 
5.9%
유통 5
 
5.0%
관공서 및 단체 5
 
5.0%
음료 및 기호품 3
 
3.0%
화장품 및 보건용품 2
 
2.0%
Other values (4) 6
 
5.9%

Length

2023-12-10T18:45:00.735855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 67
26.7%
제약 37
14.7%
의료 37
14.7%
식품 12
 
4.8%
건설 10
 
4.0%
건재 10
 
4.0%
부동산 10
 
4.0%
수송기기 8
 
3.2%
서비스 7
 
2.8%
금융 6
 
2.4%
Other values (15) 47
18.7%

INDUTY_MLSFC_NM
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size940.0 B
이비인후 치과 및 안과용제
18 
부동산 임대 및 매매
9 
소화위장약
7 
축산품
6 
중앙 및 지방 관공서
 
4
Other values (26)
57 

Length

Max length14
Median length11
Mean length8.009901
Min length2

Unique

Unique10 ?
Unique (%)9.9%

Sample

1st row이비인후 치과 및 안과용제
2nd row이비인후 치과 및 안과용제
3rd row이비인후 치과 및 안과용제
4th row유통기타
5th row이비인후 치과 및 안과용제

Common Values

ValueCountFrequency (%)
이비인후 치과 및 안과용제 18
17.8%
부동산 임대 및 매매 9
 
8.9%
소화위장약 7
 
6.9%
축산품 6
 
5.9%
중앙 및 지방 관공서 4
 
4.0%
수송기기부품 및 용품 4
 
4.0%
건강식품 4
 
4.0%
개인서비스 4
 
4.0%
제약 및 의료 기타 4
 
4.0%
승용자동차 4
 
4.0%
Other values (21) 37
36.6%

Length

2023-12-10T18:45:01.014828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 53
21.6%
이비인후 18
 
7.3%
안과용제 18
 
7.3%
치과 18
 
7.3%
부동산 10
 
4.1%
매매 9
 
3.7%
임대 9
 
3.7%
소화위장약 7
 
2.9%
축산품 6
 
2.4%
보험 5
 
2.0%
Other values (38) 92
37.6%

INDUTY_SCLAS_NM
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size940.0 B
구내염용제
18 
아파트 임대 및 매매
9 
변비치료제
7 
생축산품
6 
제약 및 의료 기업 PR
 
4
Other values (31)
57 

Length

Max length15
Median length13
Mean length6.7128713
Min length2

Unique

Unique14 ?
Unique (%)13.9%

Sample

1st row구내염용제
2nd row구내염용제
3rd row구내염용제
4th row유통 기타
5th row구내염용제

Common Values

ValueCountFrequency (%)
구내염용제 18
17.8%
아파트 임대 및 매매 9
 
8.9%
변비치료제 7
 
6.9%
생축산품 6
 
5.9%
제약 및 의료 기업 PR 4
 
4.0%
수송기기부품 및 용품 기타 4
 
4.0%
지방자치단체 4
 
4.0%
세탁염색 4
 
4.0%
은행 4
 
4.0%
유통 기타 3
 
3.0%
Other values (26) 38
37.6%

Length

2023-12-10T18:45:01.371256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
및 25
 
13.2%
구내염용제 18
 
9.5%
기타 15
 
7.9%
아파트 9
 
4.8%
임대 9
 
4.8%
매매 9
 
4.8%
변비치료제 7
 
3.7%
생축산품 6
 
3.2%
pr 5
 
2.6%
은행 4
 
2.1%
Other values (43) 82
43.4%

WTCHNG_RT
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct41
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74063337
Minimum0
Maximum2.89285
Zeros4
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:45:01.656235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02093
Q10.06545
median0.32226
Q31.61134
95-th percentile2.32255
Maximum2.89285
Range2.89285
Interquartile range (IQR)1.54589

Descriptive statistics

Standard deviation0.819575
Coefficient of variation (CV)1.1065867
Kurtosis-0.72096975
Mean0.74063337
Median Absolute Deviation (MAD)0.29511
Skewness0.82632551
Sum74.80397
Variance0.67170317
MonotonicityNot monotonic
2023-12-10T18:45:01.992716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.03976 6
 
5.9%
0.09008 5
 
5.0%
0.0 4
 
4.0%
1.75876 4
 
4.0%
0.06545 4
 
4.0%
0.51935 4
 
4.0%
1.83088 4
 
4.0%
0.97194 4
 
4.0%
0.37592 4
 
4.0%
2.4606 4
 
4.0%
Other values (31) 58
57.4%
ValueCountFrequency (%)
0.0 4
4.0%
0.01352 1
 
1.0%
0.02093 1
 
1.0%
0.02332 1
 
1.0%
0.02715 4
4.0%
0.03414 1
 
1.0%
0.03976 6
5.9%
0.05322 4
4.0%
0.06545 4
4.0%
0.0672 2
 
2.0%
ValueCountFrequency (%)
2.89285 1
 
1.0%
2.4606 4
4.0%
2.32255 2
2.0%
1.83088 4
4.0%
1.82848 2
2.0%
1.76738 2
2.0%
1.75876 4
4.0%
1.66469 4
4.0%
1.61134 3
3.0%
1.53621 3
3.0%

Interactions

2023-12-10T18:44:54.728154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:44:53.493651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:44:54.163772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:44:54.887626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:44:53.655887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:44:54.341449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:44:55.067932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:44:53.886947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:44:54.549780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:45:02.191860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ADVRTS_MATR_NMADVRTS_BEGIN_TIMEADVRTS_TIMEADVRTS_UNTPC_COADVRTS_TY_NMADVRTSR_NMBRAND_NMINDUTY_LCLAS_NMINDUTY_MLSFC_NMINDUTY_SCLAS_NMWTCHNG_RT
ADVRTS_MATR_NM1.0000.8670.9600.8200.8601.0001.0001.0001.0001.0000.756
ADVRTS_BEGIN_TIME0.8671.0000.3430.7070.8320.7080.7590.4190.7510.7820.857
ADVRTS_TIME0.9600.3431.0000.5610.8780.9600.9560.8210.9290.9290.306
ADVRTS_UNTPC_CO0.8200.7070.5611.0000.7980.7340.7150.4070.3640.7510.882
ADVRTS_TY_NM0.8600.8320.8780.7981.0000.8190.8280.6750.7180.7400.810
ADVRTSR_NM1.0000.7080.9600.7340.8191.0001.0001.0000.9980.9980.696
BRAND_NM1.0000.7590.9560.7150.8281.0001.0001.0001.0001.0000.670
INDUTY_LCLAS_NM1.0000.4190.8210.4070.6751.0001.0001.0001.0001.0000.000
INDUTY_MLSFC_NM1.0000.7510.9290.3640.7180.9981.0001.0001.0001.0000.000
INDUTY_SCLAS_NM1.0000.7820.9290.7510.7400.9981.0001.0001.0001.0000.649
WTCHNG_RT0.7560.8570.3060.8820.8100.6960.6700.0000.0000.6491.000
2023-12-10T18:45:02.467481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ADVRTS_MATR_NMADVRTSR_NMADVRTS_TY_NMADVRTS_TIMEINDUTY_SCLAS_NMBRAND_NMINDUTY_MLSFC_NMINDUTY_LCLAS_NM
ADVRTS_MATR_NM1.0000.9170.4460.6070.9030.9560.8700.781
ADVRTSR_NM0.9171.0000.4450.6700.9050.9590.8860.851
ADVRTS_TY_NM0.4460.4451.0000.5280.3700.4330.3690.412
ADVRTS_TIME0.6070.6700.5281.0000.6100.6300.6400.579
INDUTY_SCLAS_NM0.9030.9050.3700.6101.0000.9450.9640.864
BRAND_NM0.9560.9590.4330.6300.9451.0000.9100.816
INDUTY_MLSFC_NM0.8700.8860.3690.6400.9640.9101.0000.897
INDUTY_LCLAS_NM0.7810.8510.4120.5790.8640.8160.8971.000
2023-12-10T18:45:02.731587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ADVRTS_BEGIN_TIMEADVRTS_UNTPC_COWTCHNG_RTADVRTS_MATR_NMADVRTS_TIMEADVRTS_TY_NMADVRTSR_NMBRAND_NMINDUTY_LCLAS_NMINDUTY_MLSFC_NMINDUTY_SCLAS_NM
ADVRTS_BEGIN_TIME1.0000.3810.2890.3720.2450.7320.3030.3000.2170.3350.319
ADVRTS_UNTPC_CO0.3811.0000.7850.3700.3990.6710.3290.2940.1510.1270.347
WTCHNG_RT0.2890.7851.0000.2800.1880.6620.2840.2520.0000.0000.253
ADVRTS_MATR_NM0.3720.3700.2801.0000.6070.4460.9170.9560.7810.8700.903
ADVRTS_TIME0.2450.3990.1880.6071.0000.5280.6700.6300.5790.6400.610
ADVRTS_TY_NM0.7320.6710.6620.4460.5281.0000.4450.4330.4120.3690.370
ADVRTSR_NM0.3030.3290.2840.9170.6700.4451.0000.9590.8510.8860.905
BRAND_NM0.3000.2940.2520.9560.6300.4330.9591.0000.8160.9100.945
INDUTY_LCLAS_NM0.2170.1510.0000.7810.5790.4120.8510.8161.0000.8970.864
INDUTY_MLSFC_NM0.3350.1270.0000.8700.6400.3690.8860.9100.8971.0000.964
INDUTY_SCLAS_NM0.3190.3470.2530.9030.6100.3700.9050.9450.8640.9641.000

Missing values

2023-12-10T18:44:55.310150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:44:55.745595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

BRDCST_DEADVRTS_END_DECHNNEL_NMADVRTS_MATR_NMADVRTS_BEGIN_TIMEADVRTS_TIMEADVRTS_UNTPC_COADVRTS_TY_NMADVRTSR_NMBRAND_NMINDUTY_LCLAS_NMINDUTY_MLSFC_NMINDUTY_SCLAS_NMWTCHNG_RT
02021070120210701KBS2명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)658071563.0토막 B(정상요금)명인제약명인이가탄F제약 및 의료이비인후 치과 및 안과용제구내염용제0.0
12021070120210701KBS2명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)6580715109.0토막 B(정상요금)명인제약명인이가탄F제약 및 의료이비인후 치과 및 안과용제구내염용제0.05322
22021070120210701KBS2명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)6580715203.0토막 B(정상요금)명인제약명인이가탄F제약 및 의료이비인후 치과 및 안과용제구내염용제0.03976
32021070120210701KBS2KD쇼핑 (실속가격/빠른배송/브랜드언더웨어/구포시장계단상회)6580720148.0토막 B(정상요금)대향유통KD쇼핑유통유통기타유통 기타0.06545
42021070120210701KBS2명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)6580715750.0토막 B(정상요금)명인제약명인이가탄F제약 및 의료이비인후 치과 및 안과용제구내염용제0.51935
52021070120210701KBS2휴온스메노락토프로바이오틱스 (박미선/50대미선이가)658221563.0토막 B(정상요금)휴온스글로벌휴온스메노락토프로바이오틱스제약 및 의료제약 및 의료 기타제약 및 의료 기업 PR0.0
62021070120210701KBS2휴온스메노락토프로바이오틱스 (박미선/50대미선이가)6582215109.0토막 B(정상요금)휴온스글로벌휴온스메노락토프로바이오틱스제약 및 의료제약 및 의료 기타제약 및 의료 기업 PR0.05322
72021070120210701KBS2휴온스메노락토프로바이오틱스 (박미선/50대미선이가)6582215203.0토막 B(정상요금)휴온스글로벌휴온스메노락토프로바이오틱스제약 및 의료제약 및 의료 기타제약 및 의료 기업 PR0.03976
82021070120210701KBS2휴온스메노락토프로바이오틱스 (박미선/50대미선이가)6582215750.0토막 B(정상요금)휴온스글로벌휴온스메노락토프로바이오틱스제약 및 의료제약 및 의료 기타제약 및 의료 기업 PR0.51935
92021070120210701KBS2부산반려동물박람회 (HELLO/WITHMYPET/7.2-7.4/제2전시장)6582620148.0토막 B(정상요금)메세코리아부산반려동물박람회서비스문화 및 공연전시, 박람회 및 학술회의0.06545
BRDCST_DEADVRTS_END_DECHNNEL_NMADVRTS_MATR_NMADVRTS_BEGIN_TIMEADVRTS_TIMEADVRTS_UNTPC_COADVRTS_TY_NMADVRTSR_NMBRAND_NMINDUTY_LCLAS_NMINDUTY_MLSFC_NMINDUTY_SCLAS_NMWTCHNG_RT
912021070120210701KBS2푸르지오 (PRUGIOFORWOMEN/여성모델)85736154458.0토막 A(정상요금)대우건설푸르지오건설 건재 및 부동산부동산 임대 및 매매아파트 임대 및 매매1.48751
922021070120210701KBS2명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)9165715154.0토막 A(정상요금)명인제약명인이가탄F제약 및 의료이비인후 치과 및 안과용제구내염용제0.0672
932021070120210701KBS2명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)9165715263.0토막 A(정상요금)명인제약명인이가탄F제약 및 의료이비인후 치과 및 안과용제구내염용제0.09008
942021070120210701KBS2명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)9165715490.0토막 A(정상요금)명인제약명인이가탄F제약 및 의료이비인후 치과 및 안과용제구내염용제0.06788
952021070120210701KBS2그랜저 (재택근무1년째/멀리서도주변을살피는/르블랑출시)9165730276.0토막 A(정상요금)현대자동차그랜저수송기기승용자동차대형승용차0.01352
962021070120210701KBS2KD쇼핑 (실속가격/빠른배송/브랜드언더웨어/구포시장계단상회)9165720372.0토막 A(정상요금)대향유통KD쇼핑유통유통기타유통 기타0.03414
972021070120210701KBS2다가온 (똑똑한생각/다가온에노크하세요)9165715201.0토막 A(정상요금)대전광역시청다가온관공서 및 단체중앙 및 지방 관공서지방자치단체0.19097
982021070120210701KBS2명인이가탄F (인생시계/유동근/김지호/이선균/약국에서만)91657152217.0토막 A(정상요금)명인제약명인이가탄F제약 및 의료이비인후 치과 및 안과용제구내염용제0.86329
992021070120210701KBS2NH농협은행 (NH자산플러스/강하늘/너자신을알라/너자산을알라)9171230246.0토막 A(정상요금)농협은행NH농협은행금융 보험 및 증권금융 및 보험은행0.0672
1002021070120210701KBS2NH농협은행 (NH자산플러스/강하늘/너자신을알라/너자산을알라)9171230422.0토막 A(정상요금)농협은행NH농협은행금융 보험 및 증권금융 및 보험은행0.02093