Overview

Dataset statistics

Number of variables21
Number of observations101
Missing cells101
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.9 KiB
Average record size in memory181.3 B

Variable types

Categorical15
Unsupported1
Numeric5

Alerts

CHNNEL_NM has constant value ""Constant
PROGRM_NM 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_TY_NM has constant value ""Constant
AUDE_CO has constant value ""Constant
WTCHNG_RT has constant value ""Constant
DAIL_AVRG_REACH_CO has constant value ""Constant
DAIL_AVRG_REACH_RT has constant value ""Constant
AVRG_WTCHNG_TIME has constant value ""Constant
ACCMLT_AVRG_WTCHNG_TIME has constant value ""Constant
PROGRM_DC has 101 (100.0%) missing valuesMissing
PROGRM_DC is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 09:55:09.320649
Analysis finished2023-12-10 09:55:10.004190
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

CHNNEL_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
KBS1
101 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKBS1
2nd rowKBS1
3rd rowKBS1
4th rowKBS1
5th rowKBS1

Common Values

ValueCountFrequency (%)
KBS1 101
100.0%

Length

2023-12-10T18:55:10.153597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:10.358700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kbs1 101
100.0%

PROGRM_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
6시내고향
101 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6시내고향
2nd row6시내고향
3rd row6시내고향
4th row6시내고향
5th row6시내고향

Common Values

ValueCountFrequency (%)
6시내고향 101
100.0%

Length

2023-12-10T18:55:10.586272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:10.800388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6시내고향 101
100.0%

PROGRM_DC
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

BRDCST_TME_NM
Categorical

Distinct8
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
7325회
14 
7330회
14 
7317회
14 
7316회
14 
7321회
14 
Other values (3)
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7325회
2nd row7325회
3rd row7325회
4th row7325회
5th row7325회

Common Values

ValueCountFrequency (%)
7325회 14
13.9%
7330회 14
13.9%
7317회 14
13.9%
7316회 14
13.9%
7321회 14
13.9%
7331회 14
13.9%
7320회 14
13.9%
7329회 3
 
3.0%

Length

2023-12-10T18:55:11.053336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:11.438339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7325회 14
13.9%
7330회 14
13.9%
7317회 14
13.9%
7316회 14
13.9%
7321회 14
13.9%
7331회 14
13.9%
7320회 14
13.9%
7329회 3
 
3.0%

BRDCST_DE
Real number (ℝ)

Distinct8
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210711
Minimum20210701
Maximum20210722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:55:11.891330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210701
5-th percentile20210701
Q120210702
median20210708
Q320210721
95-th percentile20210722
Maximum20210722
Range21
Interquartile range (IQR)19

Descriptive statistics

Standard deviation7.9667999
Coefficient of variation (CV)3.9418702 × 10-7
Kurtosis-1.5033686
Mean20210711
Median Absolute Deviation (MAD)6
Skewness0.19989393
Sum2.0412818 × 109
Variance63.469901
MonotonicityNot monotonic
2023-12-10T18:55:12.172596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20210714 14
13.9%
20210721 14
13.9%
20210702 14
13.9%
20210701 14
13.9%
20210708 14
13.9%
20210722 14
13.9%
20210707 14
13.9%
20210720 3
 
3.0%
ValueCountFrequency (%)
20210701 14
13.9%
20210702 14
13.9%
20210707 14
13.9%
20210708 14
13.9%
20210714 14
13.9%
20210720 3
 
3.0%
20210721 14
13.9%
20210722 14
13.9%
ValueCountFrequency (%)
20210722 14
13.9%
20210721 14
13.9%
20210720 3
 
3.0%
20210714 14
13.9%
20210708 14
13.9%
20210707 14
13.9%
20210702 14
13.9%
20210701 14
13.9%

BRDCST_END_DE
Real number (ℝ)

Distinct8
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210711
Minimum20210701
Maximum20210722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:55:12.521355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210701
5-th percentile20210701
Q120210702
median20210708
Q320210721
95-th percentile20210722
Maximum20210722
Range21
Interquartile range (IQR)19

Descriptive statistics

Standard deviation7.9667999
Coefficient of variation (CV)3.9418702 × 10-7
Kurtosis-1.5033686
Mean20210711
Median Absolute Deviation (MAD)6
Skewness0.19989393
Sum2.0412818 × 109
Variance63.469901
MonotonicityNot monotonic
2023-12-10T18:55:12.788913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20210714 14
13.9%
20210721 14
13.9%
20210702 14
13.9%
20210701 14
13.9%
20210708 14
13.9%
20210722 14
13.9%
20210707 14
13.9%
20210720 3
 
3.0%
ValueCountFrequency (%)
20210701 14
13.9%
20210702 14
13.9%
20210707 14
13.9%
20210708 14
13.9%
20210714 14
13.9%
20210720 3
 
3.0%
20210721 14
13.9%
20210722 14
13.9%
ValueCountFrequency (%)
20210722 14
13.9%
20210721 14
13.9%
20210720 3
 
3.0%
20210714 14
13.9%
20210708 14
13.9%
20210707 14
13.9%
20210702 14
13.9%
20210701 14
13.9%

MESURE_WKDAY_NM
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
수요일
42 
목요일
42 
금요일
14 
화요일
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수요일 42
41.6%
목요일 42
41.6%
금요일 14
 
13.9%
화요일 3
 
3.0%

Length

2023-12-10T18:55:13.075481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:13.283595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수요일 42
41.6%
목요일 42
41.6%
금요일 14
 
13.9%
화요일 3
 
3.0%

PROGRM_BEGIN_TIME
Real number (ℝ)

Distinct8
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176459.47
Minimum175828
Maximum180005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:55:13.508634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175828
5-th percentile175828
Q1175850
median175906
Q3175922
95-th percentile180005
Maximum180005
Range4177
Interquartile range (IQR)72

Descriptive statistics

Standard deviation1429.7692
Coefficient of variation (CV)0.008102536
Kurtosis2.5533432
Mean176459.47
Median Absolute Deviation (MAD)16
Skewness2.1209395
Sum17822406
Variance2044239.9
MonotonicityNot monotonic
2023-12-10T18:55:13.725424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
175916 14
13.9%
175906 14
13.9%
175828 14
13.9%
175922 14
13.9%
180005 14
13.9%
175850 14
13.9%
175901 14
13.9%
175938 3
 
3.0%
ValueCountFrequency (%)
175828 14
13.9%
175850 14
13.9%
175901 14
13.9%
175906 14
13.9%
175916 14
13.9%
175922 14
13.9%
175938 3
 
3.0%
180005 14
13.9%
ValueCountFrequency (%)
180005 14
13.9%
175938 3
 
3.0%
175922 14
13.9%
175916 14
13.9%
175906 14
13.9%
175901 14
13.9%
175850 14
13.9%
175828 14
13.9%

PROGRM_END_TIME
Real number (ℝ)

Distinct8
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185773.75
Minimum185719
Maximum185826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:55:13.974250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185719
5-th percentile185739
Q1185741
median185747
Q3185819
95-th percentile185826
Maximum185826
Range107
Interquartile range (IQR)78

Descriptive statistics

Standard deviation38.340163
Coefficient of variation (CV)0.00020638095
Kurtosis-1.7842862
Mean185773.75
Median Absolute Deviation (MAD)8
Skewness0.32967564
Sum18763149
Variance1469.9681
MonotonicityNot monotonic
2023-12-10T18:55:14.229173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
185739 14
13.9%
185819 14
13.9%
185747 14
13.9%
185741 14
13.9%
185826 14
13.9%
185810 14
13.9%
185746 14
13.9%
185719 3
 
3.0%
ValueCountFrequency (%)
185719 3
 
3.0%
185739 14
13.9%
185741 14
13.9%
185746 14
13.9%
185747 14
13.9%
185810 14
13.9%
185819 14
13.9%
185826 14
13.9%
ValueCountFrequency (%)
185826 14
13.9%
185819 14
13.9%
185810 14
13.9%
185747 14
13.9%
185746 14
13.9%
185741 14
13.9%
185739 14
13.9%
185719 3
 
3.0%

BRDCST_TIME
Real number (ℝ)

Distinct8
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5862.0099
Minimum5741
Maximum5920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:55:14.486506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5741
5-th percentile5819
Q15821
median5845
Q35919
95-th percentile5920
Maximum5920
Range179
Interquartile range (IQR)98

Descriptive statistics

Standard deviation49.767358
Coefficient of variation (CV)0.0084898113
Kurtosis-1.0755495
Mean5862.0099
Median Absolute Deviation (MAD)26
Skewness-0.092523862
Sum592063
Variance2476.7899
MonotonicityNot monotonic
2023-12-10T18:55:14.744770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5823 14
13.9%
5913 14
13.9%
5919 14
13.9%
5819 14
13.9%
5821 14
13.9%
5920 14
13.9%
5845 14
13.9%
5741 3
 
3.0%
ValueCountFrequency (%)
5741 3
 
3.0%
5819 14
13.9%
5821 14
13.9%
5823 14
13.9%
5845 14
13.9%
5913 14
13.9%
5919 14
13.9%
5920 14
13.9%
ValueCountFrequency (%)
5920 14
13.9%
5919 14
13.9%
5913 14
13.9%
5845 14
13.9%
5823 14
13.9%
5821 14
13.9%
5819 14
13.9%
5741 3
 
3.0%

PROGRM_GENRE_LCLAS_NM
Categorical

CONSTANT 

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

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 101
100.0%

Length

2023-12-10T18:55:15.112343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:15.346195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보 101
100.0%

PROGRM_GENRE_MLSFC_NM
Categorical

CONSTANT 

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

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 101
100.0%

Length

2023-12-10T18:55:15.584319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:15.920620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활정보 101
100.0%

PROGRM_GENRE_SCLAS_NM
Categorical

CONSTANT 

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

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활정보(종합) 101
100.0%

Length

2023-12-10T18:55:16.160435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:16.403692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활정보(종합 101
100.0%

PROGRM_TY_NM
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정규 101
100.0%

Length

2023-12-10T18:55:16.664681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:16.888704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정규 101
100.0%

WTCHNG_GROUP_NM
Categorical

Distinct14
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
가구
8 
개인 (4세 이상)
8 
남자10대
8 
남자20대
7 
남자30대
7 
Other values (9)
63 

Length

Max length10
Median length5
Mean length5.4356436
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가구
2nd row개인 (4세 이상)
3rd row남자10대
4th row남자20대
5th row남자30대

Common Values

ValueCountFrequency (%)
가구 8
 
7.9%
개인 (4세 이상) 8
 
7.9%
남자10대 8
 
7.9%
남자20대 7
 
6.9%
남자30대 7
 
6.9%
남자40대 7
 
6.9%
남자50대 7
 
6.9%
남자60대이상 7
 
6.9%
여자10대 7
 
6.9%
여자20대 7
 
6.9%
Other values (4) 28
27.7%

Length

2023-12-10T18:55:17.215721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가구 8
 
6.8%
개인 8
 
6.8%
4세 8
 
6.8%
이상 8
 
6.8%
남자10대 8
 
6.8%
남자20대 7
 
6.0%
남자30대 7
 
6.0%
남자40대 7
 
6.0%
남자50대 7
 
6.0%
남자60대이상 7
 
6.0%
Other values (6) 42
35.9%

AUDE_CO
Categorical

CONSTANT 

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

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 (%)
0 101
100.0%

Length

2023-12-10T18:55:17.492137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:17.715142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 101
100.0%

WTCHNG_RT
Categorical

CONSTANT 

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

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 (%)
0 101
100.0%

Length

2023-12-10T18:55:17.916803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:18.097252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 101
100.0%

DAIL_AVRG_REACH_CO
Categorical

CONSTANT 

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

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 (%)
0 101
100.0%

Length

2023-12-10T18:55:18.291010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:18.481364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 101
100.0%

DAIL_AVRG_REACH_RT
Categorical

CONSTANT 

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

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 (%)
0 101
100.0%

Length

2023-12-10T18:55:18.691131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:18.916016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 101
100.0%

AVRG_WTCHNG_TIME
Categorical

CONSTANT 

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

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 (%)
0 101
100.0%

Length

2023-12-10T18:55:19.131469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:19.345408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 101
100.0%

ACCMLT_AVRG_WTCHNG_TIME
Categorical

CONSTANT 

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

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 (%)
0 101
100.0%

Length

2023-12-10T18:55:19.561577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:55:19.763484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 101
100.0%

Sample

CHNNEL_NMPROGRM_NMPROGRM_DCBRDCST_TME_NMBRDCST_DEBRDCST_END_DEMESURE_WKDAY_NMPROGRM_BEGIN_TIMEPROGRM_END_TIMEBRDCST_TIMEPROGRM_GENRE_LCLAS_NMPROGRM_GENRE_MLSFC_NMPROGRM_GENRE_SCLAS_NMPROGRM_TY_NMWTCHNG_GROUP_NMAUDE_COWTCHNG_RTDAIL_AVRG_REACH_CODAIL_AVRG_REACH_RTAVRG_WTCHNG_TIMEACCMLT_AVRG_WTCHNG_TIME
0KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규가구000000
1KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규개인 (4세 이상)000000
2KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규남자10대000000
3KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규남자20대000000
4KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규남자30대000000
5KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규남자40대000000
6KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규남자50대000000
7KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규남자60대이상000000
8KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규여자10대000000
9KBS16시내고향<NA>7325회2021071420210714수요일1759161857395823정보생활정보생활정보(종합)정규여자20대000000
CHNNEL_NMPROGRM_NMPROGRM_DCBRDCST_TME_NMBRDCST_DEBRDCST_END_DEMESURE_WKDAY_NMPROGRM_BEGIN_TIMEPROGRM_END_TIMEBRDCST_TIMEPROGRM_GENRE_LCLAS_NMPROGRM_GENRE_MLSFC_NMPROGRM_GENRE_SCLAS_NMPROGRM_TY_NMWTCHNG_GROUP_NMAUDE_COWTCHNG_RTDAIL_AVRG_REACH_CODAIL_AVRG_REACH_RTAVRG_WTCHNG_TIMEACCMLT_AVRG_WTCHNG_TIME
91KBS16시내고향<NA>7320회2021070720210707수요일1759011857465845정보생활정보생활정보(종합)정규남자60대이상000000
92KBS16시내고향<NA>7320회2021070720210707수요일1759011857465845정보생활정보생활정보(종합)정규여자10대000000
93KBS16시내고향<NA>7320회2021070720210707수요일1759011857465845정보생활정보생활정보(종합)정규여자20대000000
94KBS16시내고향<NA>7320회2021070720210707수요일1759011857465845정보생활정보생활정보(종합)정규여자30대000000
95KBS16시내고향<NA>7320회2021070720210707수요일1759011857465845정보생활정보생활정보(종합)정규여자40대000000
96KBS16시내고향<NA>7320회2021070720210707수요일1759011857465845정보생활정보생활정보(종합)정규여자50대000000
97KBS16시내고향<NA>7320회2021070720210707수요일1759011857465845정보생활정보생활정보(종합)정규여자60대이상000000
98KBS16시내고향<NA>7329회2021072020210720화요일1759381857195741정보생활정보생활정보(종합)정규가구000000
99KBS16시내고향<NA>7329회2021072020210720화요일1759381857195741정보생활정보생활정보(종합)정규개인 (4세 이상)000000
100KBS16시내고향<NA>7329회2021072020210720화요일1759381857195741정보생활정보생활정보(종합)정규남자10대000000