Overview

Dataset statistics

Number of variables14
Number of observations100
Missing cells100
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory118.3 B

Variable types

Numeric4
Categorical9
Unsupported1

Alerts

progrm_brdcst_area_cd has constant value ""Constant
progrm_genre_lclas_nm has constant value ""Constant
progrm_genre_mlsfc_nm has constant value ""Constant
progrm_genre_sclas_nm has constant value ""Constant
progrm_brdcst_area_rciv_cd has constant value ""Constant
date_de is highly overall correlated with progrm_dc_dcHigh correlation
progrm_begin_tm_tm is highly overall correlated with progrm_end_tm_tm and 2 other fieldsHigh correlation
progrm_end_tm_tm is highly overall correlated with progrm_begin_tm_tm and 2 other fieldsHigh correlation
chnnel_cd is highly overall correlated with progrm_begin_tm_tm and 3 other fieldsHigh correlation
progrm_nm_nm is highly overall correlated with chnnel_cd and 1 other fieldsHigh correlation
progrm_dc_dc is highly overall correlated with date_de and 4 other fieldsHigh correlation
seq_sn has 100 (100.0%) missing valuesMissing
seq_sn is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 09:56:59.216991
Analysis finished2023-12-10 09:57:04.359036
Duration5.14 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

date_de
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210992
Minimum20210901
Maximum20211031
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:57:04.480017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210901
5-th percentile20210912
Q120211002
median20211010
Q320211022
95-th percentile20211031
Maximum20211031
Range130
Interquartile range (IQR)20

Descriptive statistics

Standard deviation44.279115
Coefficient of variation (CV)2.1908432 × 10-6
Kurtosis-0.49450451
Mean20210992
Median Absolute Deviation (MAD)12
Skewness-1.1356525
Sum2.0210992 × 109
Variance1960.64
MonotonicityNot monotonic
2023-12-10T18:57:04.870951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20211002 8
 
8.0%
20211031 8
 
8.0%
20211015 8
 
8.0%
20211017 8
 
8.0%
20211022 8
 
8.0%
20211004 8
 
8.0%
20210922 4
 
4.0%
20210921 4
 
4.0%
20210919 4
 
4.0%
20210917 4
 
4.0%
Other values (9) 36
36.0%
ValueCountFrequency (%)
20210901 4
4.0%
20210912 4
4.0%
20210917 4
4.0%
20210919 4
4.0%
20210921 4
4.0%
20210922 4
4.0%
20211002 8
8.0%
20211004 8
8.0%
20211008 4
4.0%
20211009 4
4.0%
ValueCountFrequency (%)
20211031 8
8.0%
20211029 4
4.0%
20211025 4
4.0%
20211024 4
4.0%
20211023 4
4.0%
20211022 8
8.0%
20211017 8
8.0%
20211015 8
8.0%
20211010 4
4.0%
20211009 4
4.0%

chnnel_cd
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
공영쇼핑
44 
현대홈쇼핑
36 
GS SHOP
8 
CJ오쇼핑
8 
홈&쇼핑
 
4

Length

Max length7
Median length5
Mean length4.68
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공영쇼핑
2nd row공영쇼핑
3rd row공영쇼핑
4th row공영쇼핑
5th row현대홈쇼핑

Common Values

ValueCountFrequency (%)
공영쇼핑 44
44.0%
현대홈쇼핑 36
36.0%
GS SHOP 8
 
8.0%
CJ오쇼핑 8
 
8.0%
홈&쇼핑 4
 
4.0%

Length

2023-12-10T18:57:05.173518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:57:05.408508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영쇼핑 44
40.7%
현대홈쇼핑 36
33.3%
gs 8
 
7.4%
shop 8
 
7.4%
cj오쇼핑 8
 
7.4%
홈&쇼핑 4
 
3.7%

progrm_begin_tm_tm
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212286
Minimum135506
Maximum240006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:57:05.720242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135506
5-th percentile174006
Q1202506
median214506
Q3225506
95-th percentile235506
Maximum240006
Range104500
Interquartile range (IQR)23000

Descriptive statistics

Standard deviation23726.165
Coefficient of variation (CV)0.1117651
Kurtosis2.405203
Mean212286
Median Absolute Deviation (MAD)12000
Skewness-1.4645644
Sum21228600
Variance5.6293091 × 108
MonotonicityNot monotonic
2023-12-10T18:57:06.012675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
235006 16
16.0%
225506 12
12.0%
214506 8
 
8.0%
202506 8
 
8.0%
225006 8
 
8.0%
135506 4
 
4.0%
174006 4
 
4.0%
184006 4
 
4.0%
182006 4
 
4.0%
213506 4
 
4.0%
Other values (7) 28
28.0%
ValueCountFrequency (%)
135506 4
4.0%
174006 4
4.0%
182006 4
4.0%
184006 4
4.0%
195006 4
4.0%
202506 8
8.0%
204006 4
4.0%
210006 4
4.0%
213006 4
4.0%
213506 4
4.0%
ValueCountFrequency (%)
240006 4
 
4.0%
235506 4
 
4.0%
235006 16
16.0%
225506 12
12.0%
225006 8
8.0%
220006 4
 
4.0%
214506 8
8.0%
213506 4
 
4.0%
213006 4
 
4.0%
210006 4
 
4.0%

progrm_end_tm_tm
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222719
Minimum150459
Maximum255959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:57:06.283389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum150459
5-th percentile183959
Q1213459
median225459
Q3235959
95-th percentile245959
Maximum255959
Range105500
Interquartile range (IQR)22500

Descriptive statistics

Standard deviation23545.838
Coefficient of variation (CV)0.10571993
Kurtosis1.6508239
Mean222719
Median Absolute Deviation (MAD)12000
Skewness-1.2146449
Sum22271900
Variance5.5440646 × 108
MonotonicityNot monotonic
2023-12-10T18:57:06.529940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
245959 20
20.0%
235459 16
16.0%
225459 8
 
8.0%
213459 8
 
8.0%
235959 4
 
4.0%
183959 4
 
4.0%
193959 4
 
4.0%
192459 4
 
4.0%
223959 4
 
4.0%
215959 4
 
4.0%
Other values (6) 24
24.0%
ValueCountFrequency (%)
150459 4
4.0%
183959 4
4.0%
192459 4
4.0%
193959 4
4.0%
205959 4
4.0%
212459 4
4.0%
213459 8
8.0%
215959 4
4.0%
222459 4
4.0%
223959 4
4.0%
ValueCountFrequency (%)
255959 4
 
4.0%
245959 20
20.0%
235959 4
 
4.0%
235459 16
16.0%
225459 8
 
8.0%
224959 4
 
4.0%
223959 4
 
4.0%
222459 4
 
4.0%
215959 4
 
4.0%
213459 8
 
8.0%

progrm_nm_nm
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
소개방송
44 
레포츠문화
32 
여행
8 
트렌드세터데이
 
4
[GS상상초월]교육문화서비스
 
4
Other values (2)
8 

Length

Max length15
Median length12
Mean length5.36
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소개방송
2nd row소개방송
3rd row소개방송
4th row소개방송
5th row트렌드세터데이

Common Values

ValueCountFrequency (%)
소개방송 44
44.0%
레포츠문화 32
32.0%
여행 8
 
8.0%
트렌드세터데이 4
 
4.0%
[GS상상초월]교육문화서비스 4
 
4.0%
WEEKLYBEST6부 4
 
4.0%
WEEKLYBEST5부 4
 
4.0%

Length

2023-12-10T18:57:06.805707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:57:07.056236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소개방송 44
44.0%
레포츠문화 32
32.0%
여행 8
 
8.0%
트렌드세터데이 4
 
4.0%
gs상상초월]교육문화서비스 4
 
4.0%
weeklybest6부 4
 
4.0%
weeklybest5부 4
 
4.0%

progrm_dc_dc
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
제주신화월드숙박권
20 
용평리조트이용권
16 
해피한노블자유숙박권(3박+방송에서만1박추가)
 
4
제주양투어제주여행2박3일패키지12
 
4
가자제주닷컴제주여행2박3일패키지61
 
4
Other values (13)
52 

Length

Max length24
Median length18
Mean length13.16
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제주여행2박3일패키지
2nd row제주여행2박3일패키지
3rd row제주여행2박3일패키지
4th row제주여행2박3일패키지
5th row용평리조트이용권

Common Values

ValueCountFrequency (%)
제주신화월드숙박권 20
20.0%
용평리조트이용권 16
16.0%
해피한노블자유숙박권(3박+방송에서만1박추가) 4
 
4.0%
제주양투어제주여행2박3일패키지12 4
 
4.0%
가자제주닷컴제주여행2박3일패키지61 4
 
4.0%
가자제주닷컴제주여행2박3일패키지62 4
 
4.0%
청소연구소이용권 4
 
4.0%
제주여행2박3일패키지_13 4
 
4.0%
제주양투어제주여행2박3일패키지14 4
 
4.0%
가자제주닷컴제주여행2박3일패키지64 4
 
4.0%
Other values (8) 32
32.0%

Length

2023-12-10T18:57:07.445366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제주신화월드숙박권 20
20.0%
용평리조트이용권 16
16.0%
제주여행2박3일패키지 4
 
4.0%
가자제주닷컴제주여행2박3일패키지63 4
 
4.0%
탑스텐강릉숙박권 4
 
4.0%
가자제주닷컴제주여행2박3일패키지59 4
 
4.0%
제주양투어제주여행2박3일패키지 4
 
4.0%
해피한노블멀티숙박권(결제 4
 
4.0%
제주여행2박3일패키지_15 4
 
4.0%
가자제주닷컴제주여행2박3일패키지64 4
 
4.0%
Other values (8) 32
32.0%

seq_sn
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

progrm_brdcst_area_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전국
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전국 100
100.0%

Length

2023-12-10T18:57:07.750228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:57:08.006348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전국 100
100.0%

progrm_genre_lclas_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
정보
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보 100
100.0%

Length

2023-12-10T18:57:08.226572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:57:08.514866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보 100
100.0%

progrm_genre_mlsfc_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
생활정보
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활정보 100
100.0%

Length

2023-12-10T18:57:08.800693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:57:09.013061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활정보 100
100.0%

progrm_genre_sclas_nm
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
생활정보(기타)
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row생활정보(기타)
2nd row생활정보(기타)
3rd row생활정보(기타)
4th row생활정보(기타)
5th row생활정보(기타)

Common Values

ValueCountFrequency (%)
생활정보(기타) 100
100.0%

Length

2023-12-10T18:57:09.204847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:57:09.379057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활정보(기타 100
100.0%

progrm_brdcst_area_rciv_cd
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
전국
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전국 100
100.0%

Length

2023-12-10T18:57:09.554577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:57:09.736928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전국 100
100.0%

aude_mesureunit_cd
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
가구
25 
개인
25 
유료매체가입가구
25 
유료매체가입개인
25 

Length

Max length8
Median length5
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가구
2nd row개인
3rd row유료매체가입가구
4th row유료매체가입개인
5th row가구

Common Values

ValueCountFrequency (%)
가구 25
25.0%
개인 25
25.0%
유료매체가입가구 25
25.0%
유료매체가입개인 25
25.0%

Length

2023-12-10T18:57:09.911458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:57:10.079509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가구 25
25.0%
개인 25
25.0%
유료매체가입가구 25
25.0%
유료매체가입개인 25
25.0%

aude_co_co
Real number (ℝ)

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.4
Minimum2
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:57:10.227649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q314
95-th percentile30
Maximum38
Range36
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.65414
Coefficient of variation (CV)0.67141579
Kurtosis2.9000668
Mean11.4
Median Absolute Deviation (MAD)4
Skewness1.6728125
Sum1140
Variance58.585859
MonotonicityNot monotonic
2023-12-10T18:57:10.413095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10 10
 
10.0%
6 10
 
10.0%
9 10
 
10.0%
12 8
 
8.0%
11 8
 
8.0%
5 8
 
8.0%
3 6
 
6.0%
14 6
 
6.0%
4 4
 
4.0%
15 4
 
4.0%
Other values (12) 26
26.0%
ValueCountFrequency (%)
2 2
 
2.0%
3 6
6.0%
4 4
 
4.0%
5 8
8.0%
6 10
10.0%
7 2
 
2.0%
8 4
 
4.0%
9 10
10.0%
10 10
10.0%
11 8
8.0%
ValueCountFrequency (%)
38 2
 
2.0%
32 2
 
2.0%
30 2
 
2.0%
29 2
 
2.0%
22 2
 
2.0%
20 2
 
2.0%
18 2
 
2.0%
17 2
 
2.0%
15 4
4.0%
14 6
6.0%

Interactions

2023-12-10T18:57:02.458809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:56:59.974398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:00.679474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:01.609229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:02.710564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:00.178123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:00.928259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:01.872738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:02.888755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:00.332455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:01.129728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:02.113670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:03.109502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:00.485302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:01.329389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:57:02.283350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:57:10.556073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
date_dechnnel_cdprogrm_begin_tm_tmprogrm_end_tm_tmprogrm_nm_nmprogrm_dc_dcaude_mesureunit_cdaude_co_co
date_de1.0000.8910.7440.7700.6360.9620.0000.464
chnnel_cd0.8911.0000.7030.7290.9260.9610.0000.674
progrm_begin_tm_tm0.7440.7031.0000.9840.8110.9740.0000.537
progrm_end_tm_tm0.7700.7290.9841.0000.8420.9700.0000.493
progrm_nm_nm0.6360.9260.8110.8421.0000.9000.0000.704
progrm_dc_dc0.9620.9610.9740.9700.9001.0000.0000.833
aude_mesureunit_cd0.0000.0000.0000.0000.0000.0001.0000.000
aude_co_co0.4640.6740.5370.4930.7040.8330.0001.000
2023-12-10T18:57:10.736279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
progrm_nm_nmchnnel_cdaude_mesureunit_cdprogrm_dc_dc
progrm_nm_nm1.0000.8850.0000.649
chnnel_cd0.8851.0000.0000.820
aude_mesureunit_cd0.0000.0001.0000.000
progrm_dc_dc0.6490.8200.0001.000
2023-12-10T18:57:10.882775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
date_deprogrm_begin_tm_tmprogrm_end_tm_tmaude_co_cochnnel_cdprogrm_nm_nmprogrm_dc_dcaude_mesureunit_cd
date_de1.000-0.081-0.044-0.1020.4220.4060.7470.000
progrm_begin_tm_tm-0.0811.0000.9840.0720.5450.4050.8680.000
progrm_end_tm_tm-0.0440.9841.0000.0790.5760.4410.8570.000
aude_co_co-0.1020.0720.0791.0000.4900.4460.4280.000
chnnel_cd0.4220.5450.5760.4901.0000.8850.8200.000
progrm_nm_nm0.4060.4050.4410.4460.8851.0000.6490.000
progrm_dc_dc0.7470.8680.8570.4280.8200.6491.0000.000
aude_mesureunit_cd0.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-10T18:57:03.588790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:57:04.133105image/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

date_dechnnel_cdprogrm_begin_tm_tmprogrm_end_tm_tmprogrm_nm_nmprogrm_dc_dcseq_snprogrm_brdcst_area_cdprogrm_genre_lclas_nmprogrm_genre_mlsfc_nmprogrm_genre_sclas_nmprogrm_brdcst_area_rciv_cdaude_mesureunit_cdaude_co_co
020211002공영쇼핑225506235459소개방송제주여행2박3일패키지<NA>전국정보생활정보생활정보(기타)전국가구12
120211002공영쇼핑225506235459소개방송제주여행2박3일패키지<NA>전국정보생활정보생활정보(기타)전국개인14
220211002공영쇼핑225506235459소개방송제주여행2박3일패키지<NA>전국정보생활정보생활정보(기타)전국유료매체가입가구12
320211002공영쇼핑225506235459소개방송제주여행2박3일패키지<NA>전국정보생활정보생활정보(기타)전국유료매체가입개인14
420211002현대홈쇼핑240006245959트렌드세터데이용평리조트이용권<NA>전국정보생활정보생활정보(기타)전국가구10
520211002현대홈쇼핑240006245959트렌드세터데이용평리조트이용권<NA>전국정보생활정보생활정보(기타)전국개인10
620211002현대홈쇼핑240006245959트렌드세터데이용평리조트이용권<NA>전국정보생활정보생활정보(기타)전국유료매체가입가구10
720211002현대홈쇼핑240006245959트렌드세터데이용평리조트이용권<NA>전국정보생활정보생활정보(기타)전국유료매체가입개인10
820211004현대홈쇼핑235006245959레포츠문화제주신화월드숙박권<NA>전국정보생활정보생활정보(기타)전국가구12
920211004현대홈쇼핑235006245959레포츠문화제주신화월드숙박권<NA>전국정보생활정보생활정보(기타)전국개인17
date_dechnnel_cdprogrm_begin_tm_tmprogrm_end_tm_tmprogrm_nm_nmprogrm_dc_dcseq_snprogrm_brdcst_area_cdprogrm_genre_lclas_nmprogrm_genre_mlsfc_nmprogrm_genre_sclas_nmprogrm_brdcst_area_rciv_cdaude_mesureunit_cdaude_co_co
9020210919공영쇼핑225006235459소개방송가자제주닷컴제주여행2박3일패키지59<NA>전국정보생활정보생활정보(기타)전국유료매체가입가구5
9120210919공영쇼핑225006235459소개방송가자제주닷컴제주여행2박3일패키지59<NA>전국정보생활정보생활정보(기타)전국유료매체가입개인11
9220210921현대홈쇼핑235006245959레포츠문화탑스텐강릉숙박권<NA>전국정보생활정보생활정보(기타)전국가구9
9320210921현대홈쇼핑235006245959레포츠문화탑스텐강릉숙박권<NA>전국정보생활정보생활정보(기타)전국개인11
9420210921현대홈쇼핑235006245959레포츠문화탑스텐강릉숙박권<NA>전국정보생활정보생활정보(기타)전국유료매체가입가구9
9520210921현대홈쇼핑235006245959레포츠문화탑스텐강릉숙박권<NA>전국정보생활정보생활정보(기타)전국유료매체가입개인11
9620210922현대홈쇼핑174006183959레포츠문화경주코오롱호텔숙박이용권<NA>전국정보생활정보생활정보(기타)전국가구14
9720210922현대홈쇼핑174006183959레포츠문화경주코오롱호텔숙박이용권<NA>전국정보생활정보생활정보(기타)전국개인22
9820210922현대홈쇼핑174006183959레포츠문화경주코오롱호텔숙박이용권<NA>전국정보생활정보생활정보(기타)전국유료매체가입가구14
9920210922현대홈쇼핑174006183959레포츠문화경주코오롱호텔숙박이용권<NA>전국정보생활정보생활정보(기타)전국유료매체가입개인22