Overview

Dataset statistics

Number of variables10
Number of observations101
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.5 KiB
Average record size in memory86.3 B

Variable types

Categorical6
Text1
Numeric3

Alerts

PROGRM_GENRE_SCLAS_NM is highly overall correlated with PROGRM_GENRE_LCLAS_NM and 1 other fieldsHigh correlation
PROGRM_GENRE_MLSFC_NM is highly overall correlated with PROGRM_GENRE_LCLAS_NM and 1 other fieldsHigh correlation
PROGRM_GENRE_LCLAS_NM is highly overall correlated with PROGRM_GENRE_MLSFC_NM and 1 other fieldsHigh correlation
PROGRM_BEGIN_TIME is highly overall correlated with PROGRM_END_TIME and 3 other fieldsHigh correlation
PROGRM_END_TIME is highly overall correlated with PROGRM_BEGIN_TIME and 3 other fieldsHigh correlation
WTCHNG_RT is highly overall correlated with PROGRM_BEGIN_TIME and 1 other fieldsHigh correlation
BRDCST_DE is highly overall correlated with PROGRM_BEGIN_TIME and 2 other fieldsHigh correlation
BRDCST_END_DE is highly overall correlated with PROGRM_BEGIN_TIME and 2 other fieldsHigh correlation
WTCHNG_RT has unique valuesUnique

Reproduction

Analysis started2023-12-10 09:59:05.792379
Analysis finished2023-12-10 09:59:11.827195
Duration6.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

BRDCST_DE
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
20210701
87 
20210702
14 

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 87
86.1%
20210702 14
 
13.9%

Length

2023-12-10T18:59:11.957429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:59:12.127793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210701 87
86.1%
20210702 14
 
13.9%

BRDCST_END_DE
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
20210701
83 
20210702
18 

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 83
82.2%
20210702 18
 
17.8%

Length

2023-12-10T18:59:12.335995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:59:12.571212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20210701 83
82.2%
20210702 18
 
17.8%

CHNNEL_NM
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
채널A
30 
MBN
26 
TV CHOSUN
24 
JTBC
21 

Length

Max length9
Median length3
Mean length4.6336634
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
채널A 30
29.7%
MBN 26
25.7%
TV CHOSUN 24
23.8%
JTBC 21
20.8%

Length

2023-12-10T18:59:12.774725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:59:12.984392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
채널a 30
24.0%
mbn 26
20.8%
tv 24
19.2%
chosun 24
19.2%
jtbc 21
16.8%

PROGRM_NM
Text

Distinct88
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size940.0 B
2023-12-10T18:59:13.483816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.950495
Min length3

Characters and Unicode

Total characters1005
Distinct characters246
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)78.2%

Sample

1st row채널A스페셜다큐S프라임
2nd row채널A스페셜골동품을팔아라
3rd row채널A스페셜호기심많은여행자
4th row채널A화재특집(재)
5th row채널A스페셜브라보K사이언티스트
ValueCountFrequency (%)
채널a스페셜골동품을팔아라 3
 
3.0%
당신이바로보이스킹(재 3
 
3.0%
채널a스페셜브라보k사이언티스트 3
 
3.0%
mbn스페셜<매트왓슨의피싱쇼 3
 
3.0%
세리머니클럽(재 2
 
2.0%
신청곡을불러드립니다사랑의콜센타(본 2
 
2.0%
채널a스페셜다큐s프라임 2
 
2.0%
나만믿고따라와도시어부3(본 2
 
2.0%
황금나침반재테크꿀팁백서 2
 
2.0%
mbn종합뉴스 1
 
1.0%
Other values (78) 78
77.2%
2023-12-10T18:59:14.344249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 48
 
4.8%
) 48
 
4.8%
스 43
 
4.3%
재 36
 
3.6%
이 22
 
2.2%
다 22
 
2.2%
페 19
 
1.9%
셜 19
 
1.9%
본 17
 
1.7%
라 17
 
1.7%
Other values (236) 714
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 815
81.1%
Uppercase Letter 71
 
7.1%
Open Punctuation 48
 
4.8%
Close Punctuation 48
 
4.8%
Decimal Number 16
 
1.6%
Math Symbol 6
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 43
 
5.3%
재 36
 
4.4%
이 22
 
2.7%
다 22
 
2.7%
페 19
 
2.3%
셜 19
 
2.3%
본 17
 
2.1%
라 17
 
2.1%
채 15
 
1.8%
사 13
 
1.6%
Other values (210) 592
72.6%
Uppercase Letter
ValueCountFrequency (%)
A 15
21.1%
B 11
15.5%
M 8
11.3%
N 8
11.3%
T 8
11.3%
V 5
 
7.0%
C 3
 
4.2%
J 3
 
4.2%
K 3
 
4.2%
S 2
 
2.8%
Other values (5) 5
 
7.0%
Decimal Number
ValueCountFrequency (%)
4 4
25.0%
3 4
25.0%
0 3
18.8%
2 3
18.8%
9 1
 
6.2%
1 1
 
6.2%
Math Symbol
ValueCountFrequency (%)
< 3
50.0%
> 3
50.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 815
81.1%
Common 119
 
11.8%
Latin 71
 
7.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 43
 
5.3%
재 36
 
4.4%
이 22
 
2.7%
다 22
 
2.7%
페 19
 
2.3%
셜 19
 
2.3%
본 17
 
2.1%
라 17
 
2.1%
채 15
 
1.8%
사 13
 
1.6%
Other values (210) 592
72.6%
Latin
ValueCountFrequency (%)
A 15
21.1%
B 11
15.5%
M 8
11.3%
N 8
11.3%
T 8
11.3%
V 5
 
7.0%
C 3
 
4.2%
J 3
 
4.2%
K 3
 
4.2%
S 2
 
2.8%
Other values (5) 5
 
7.0%
Common
ValueCountFrequency (%)
( 48
40.3%
) 48
40.3%
4 4
 
3.4%
3 4
 
3.4%
0 3
 
2.5%
2 3
 
2.5%
< 3
 
2.5%
> 3
 
2.5%
9 1
 
0.8%
1 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 815
81.1%
ASCII 190
 
18.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 48
25.3%
) 48
25.3%
A 15
 
7.9%
B 11
 
5.8%
M 8
 
4.2%
N 8
 
4.2%
T 8
 
4.2%
V 5
 
2.6%
4 4
 
2.1%
3 4
 
2.1%
Other values (16) 31
16.3%
Hangul
ValueCountFrequency (%)
스 43
 
5.3%
재 36
 
4.4%
이 22
 
2.7%
다 22
 
2.7%
페 19
 
2.3%
셜 19
 
2.3%
본 17
 
2.1%
라 17
 
2.1%
채 15
 
1.8%
사 13
 
1.6%
Other values (210) 592
72.6%

PROGRM_BEGIN_TIME
Real number (ℝ)

HIGH CORRELATION 

Distinct97
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101540.88
Minimum1401
Maximum234930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:59:14.636568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1401
5-th percentile14501
Q135936
median90425
Q3155808
95-th percentile222519
Maximum234930
Range233529
Interquartile range (IQR)119872

Descriptive statistics

Standard deviation71234.531
Coefficient of variation (CV)0.70153548
Kurtosis-1.1956616
Mean101540.88
Median Absolute Deviation (MAD)58189
Skewness0.36437606
Sum10255629
Variance5.0743584 × 109
MonotonicityNot monotonic
2023-12-10T18:59:14.918089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000 5
 
5.0%
50431 1
 
1.0%
34432 1
 
1.0%
24953 1
 
1.0%
14501 1
 
1.0%
4445 1
 
1.0%
1401 1
 
1.0%
225940 1
 
1.0%
215054 1
 
1.0%
212952 1
 
1.0%
Other values (87) 87
86.1%
ValueCountFrequency (%)
1401 1
 
1.0%
2952 1
 
1.0%
4445 1
 
1.0%
5120 1
 
1.0%
5654 1
 
1.0%
14501 1
 
1.0%
14540 1
 
1.0%
14541 1
 
1.0%
15714 1
 
1.0%
20000 5
5.0%
ValueCountFrequency (%)
234930 1
1.0%
232734 1
1.0%
230226 1
1.0%
225940 1
1.0%
222944 1
1.0%
222519 1
1.0%
220924 1
1.0%
215054 1
1.0%
212952 1
1.0%
212748 1
1.0%

PROGRM_END_TIME
Real number (ℝ)

HIGH CORRELATION 

Distinct98
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99839.139
Minimum42
Maximum233317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:59:15.319434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile12343
Q140049
median85538
Q3153648
95-th percentile220056
Maximum233317
Range233275
Interquartile range (IQR)113599

Descriptive statistics

Standard deviation70731.78
Coefficient of variation (CV)0.70845744
Kurtosis-1.1687242
Mean99839.139
Median Absolute Deviation (MAD)58765
Skewness0.3725042
Sum10083753
Variance5.0029847 × 109
MonotonicityNot monotonic
2023-12-10T18:59:15.666209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15959 4
 
4.0%
202103 1
 
1.0%
45136 1
 
1.0%
42948 1
 
1.0%
33242 1
 
1.0%
23213 1
 
1.0%
13132 1
 
1.0%
3637 1
 
1.0%
42 1
 
1.0%
224807 1
 
1.0%
Other values (88) 88
87.1%
ValueCountFrequency (%)
42 1
 
1.0%
1340 1
 
1.0%
3637 1
 
1.0%
3854 1
 
1.0%
5522 1
 
1.0%
12343 1
 
1.0%
13132 1
 
1.0%
13358 1
 
1.0%
13757 1
 
1.0%
15959 4
4.0%
ValueCountFrequency (%)
233317 1
1.0%
232602 1
1.0%
230038 1
1.0%
224807 1
1.0%
221453 1
1.0%
220056 1
1.0%
215143 1
1.0%
214155 1
1.0%
211908 1
1.0%
211527 1
1.0%

PROGRM_GENRE_LCLAS_NM
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
정보
41 
보도
27 
오락
25 
어린이(유아)
 
3
드라마&영화
 
3
Other values (2)
 
2

Length

Max length7
Median length2
Mean length2.2772277
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보 41
40.6%
보도 27
26.7%
오락 25
24.8%
어린이(유아) 3
 
3.0%
드라마&영화 3
 
3.0%
교육 1
 
1.0%
스포츠 1
 
1.0%

Length

2023-12-10T18:59:15.990289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:59:16.354567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보 41
40.6%
보도 27
26.7%
오락 25
24.8%
어린이(유아 3
 
3.0%
드라마&영화 3
 
3.0%
교육 1
 
1.0%
스포츠 1
 
1.0%

PROGRM_GENRE_MLSFC_NM
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Memory size940.0 B
다큐멘터리
25 
오락기타
20 
뉴스
16 
생활정보
15 
시사
6 
Other values (12)
19 

Length

Max length8
Median length6
Mean length3.8514851
Min length2

Unique

Unique6 ?
Unique (%)5.9%

Sample

1st row다큐멘터리
2nd row다큐멘터리
3rd row다큐멘터리
4th row보도기타
5th row다큐멘터리

Common Values

ValueCountFrequency (%)
다큐멘터리 25
24.8%
오락기타 20
19.8%
뉴스 16
15.8%
생활정보 15
14.9%
시사 6
 
5.9%
음악쇼 3
 
3.0%
어린이기타 2
 
2.0%
드라마 2
 
2.0%
대담 토론 2
 
2.0%
보도기타 2
 
2.0%
Other values (7) 8
 
7.9%

Length

2023-12-10T18:59:16.794528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
다큐멘터리 25
24.3%
오락기타 20
19.4%
뉴스 16
15.5%
생활정보 15
14.6%
시사 6
 
5.8%
음악쇼 3
 
2.9%
토크쇼 2
 
1.9%
보도기타 2
 
1.9%
토론 2
 
1.9%
대담 2
 
1.9%
Other values (8) 10
 
9.7%

PROGRM_GENRE_SCLAS_NM
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size940.0 B
다큐멘터리(기타)
20 
오락기타
20 
뉴스(종합)
12 
생활정보(건강미용)
7 
시사(시사보도)
5 
Other values (22)
37 

Length

Max length13
Median length11
Mean length6.8118812
Min length2

Unique

Unique11 ?
Unique (%)10.9%

Sample

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

Common Values

ValueCountFrequency (%)
다큐멘터리(기타) 20
19.8%
오락기타 20
19.8%
뉴스(종합) 12
11.9%
생활정보(건강미용) 7
 
6.9%
시사(시사보도) 5
 
5.0%
생활정보(종합) 3
 
3.0%
뉴스(스트레이트) 3
 
3.0%
생활정보(생활경제) 3
 
3.0%
음악경연쇼 3
 
3.0%
어린이기타 2
 
2.0%
Other values (17) 23
22.8%

Length

2023-12-10T18:59:17.245677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
다큐멘터리(기타 20
19.8%
오락기타 20
19.8%
뉴스(종합 12
11.9%
생활정보(건강미용 7
 
6.9%
시사(시사보도 5
 
5.0%
생활정보(종합 3
 
3.0%
뉴스(스트레이트 3
 
3.0%
생활정보(생활경제 3
 
3.0%
음악경연쇼 3
 
3.0%
다큐멘터리(휴먼 2
 
2.0%
Other values (17) 23
22.8%

WTCHNG_RT
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.073362
Minimum0.0256
Maximum9.23833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T18:59:17.497185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0256
5-th percentile0.04745
Q10.15353
median0.58236
Q31.54045
95-th percentile3.14353
Maximum9.23833
Range9.21273
Interquartile range (IQR)1.38692

Descriptive statistics

Standard deviation1.4453228
Coefficient of variation (CV)1.3465381
Kurtosis13.892171
Mean1.073362
Median Absolute Deviation (MAD)0.48463
Skewness3.2175512
Sum108.40956
Variance2.0889581
MonotonicityNot monotonic
2023-12-10T18:59:17.799870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.12155 1
 
1.0%
2.17666 1
 
1.0%
0.22371 1
 
1.0%
0.21599 1
 
1.0%
0.47388 1
 
1.0%
0.23284 1
 
1.0%
0.39303 1
 
1.0%
0.82686 1
 
1.0%
1.4674 1
 
1.0%
3.03146 1
 
1.0%
Other values (91) 91
90.1%
ValueCountFrequency (%)
0.0256 1
1.0%
0.02982 1
1.0%
0.03393 1
1.0%
0.03548 1
1.0%
0.04449 1
1.0%
0.04745 1
1.0%
0.0486 1
1.0%
0.05536 1
1.0%
0.0625 1
1.0%
0.06893 1
1.0%
ValueCountFrequency (%)
9.23833 1
1.0%
7.86395 1
1.0%
4.88995 1
1.0%
3.99128 1
1.0%
3.23704 1
1.0%
3.14353 1
1.0%
3.1098 1
1.0%
3.03146 1
1.0%
2.55789 1
1.0%
2.52304 1
1.0%

Interactions

2023-12-10T18:59:10.852181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:59:09.629426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:59:10.275288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:59:11.024201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:59:09.872695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:59:10.475614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:59:11.166543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:59:10.028961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:59:10.673483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:59:18.052903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
BRDCST_DEBRDCST_END_DECHNNEL_NMPROGRM_NMPROGRM_BEGIN_TIMEPROGRM_END_TIMEPROGRM_GENRE_LCLAS_NMPROGRM_GENRE_MLSFC_NMPROGRM_GENRE_SCLAS_NMWTCHNG_RT
BRDCST_DE1.0000.9610.1420.0000.7720.6990.2460.0330.2960.000
BRDCST_END_DE0.9611.0000.0000.0000.7110.8900.1210.0000.0000.069
CHNNEL_NM0.1420.0001.0001.0000.0000.0000.1870.5530.6430.195
PROGRM_NM0.0000.0001.0001.0000.9690.9391.0001.0001.0000.000
PROGRM_BEGIN_TIME0.7720.7110.0000.9691.0000.9590.4810.5750.6800.499
PROGRM_END_TIME0.6990.8900.0000.9390.9591.0000.4140.5850.6750.455
PROGRM_GENRE_LCLAS_NM0.2460.1210.1871.0000.4810.4141.0001.0001.0000.210
PROGRM_GENRE_MLSFC_NM0.0330.0000.5531.0000.5750.5851.0001.0001.0000.000
PROGRM_GENRE_SCLAS_NM0.2960.0000.6431.0000.6800.6751.0001.0001.0000.536
WTCHNG_RT0.0000.0690.1950.0000.4990.4550.2100.0000.5361.000
2023-12-10T18:59:18.442474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
PROGRM_GENRE_SCLAS_NMBRDCST_DEBRDCST_END_DECHNNEL_NMPROGRM_GENRE_MLSFC_NMPROGRM_GENRE_LCLAS_NM
PROGRM_GENRE_SCLAS_NM1.0000.2150.0000.3420.9390.887
BRDCST_DE0.2151.0000.8220.0910.0000.256
BRDCST_END_DE0.0000.8221.0000.0000.0000.124
CHNNEL_NM0.3420.0910.0001.0000.3140.125
PROGRM_GENRE_MLSFC_NM0.9390.0000.0000.3141.0000.945
PROGRM_GENRE_LCLAS_NM0.8870.2560.1240.1250.9451.000
2023-12-10T18:59:18.697712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
PROGRM_BEGIN_TIMEPROGRM_END_TIMEWTCHNG_RTBRDCST_DEBRDCST_END_DECHNNEL_NMPROGRM_GENRE_LCLAS_NMPROGRM_GENRE_MLSFC_NMPROGRM_GENRE_SCLAS_NM
PROGRM_BEGIN_TIME1.0000.7740.6700.6030.5500.0000.2640.2550.280
PROGRM_END_TIME0.7741.0000.5530.5230.6950.0000.2180.2580.282
WTCHNG_RT0.6700.5531.0000.0000.0430.0830.1100.0000.214
BRDCST_DE0.6030.5230.0001.0000.8220.0910.2560.0000.215
BRDCST_END_DE0.5500.6950.0430.8221.0000.0000.1240.0000.000
CHNNEL_NM0.0000.0000.0830.0910.0001.0000.1250.3140.342
PROGRM_GENRE_LCLAS_NM0.2640.2180.1100.2560.1240.1251.0000.9450.887
PROGRM_GENRE_MLSFC_NM0.2550.2580.0000.0000.0000.3140.9451.0000.939
PROGRM_GENRE_SCLAS_NM0.2800.2820.2140.2150.0000.3420.8870.9391.000

Missing values

2023-12-10T18:59:11.396727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:59:11.713204image/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_DEBRDCST_END_DECHNNEL_NMPROGRM_NMPROGRM_BEGIN_TIMEPROGRM_END_TIMEPROGRM_GENRE_LCLAS_NMPROGRM_GENRE_MLSFC_NMPROGRM_GENRE_SCLAS_NMWTCHNG_RT
02021070120210701채널A채널A스페셜다큐S프라임2000020332정보다큐멘터리다큐멘터리(기타)0.12155
12021070120210701채널A채널A스페셜골동품을팔아라2202831206정보다큐멘터리다큐멘터리(기타)0.0625
22021070120210701채널A채널A스페셜호기심많은여행자3223634717정보다큐멘터리다큐멘터리(기타)0.02982
32021070120210701채널A채널A화재특집(재)3544340049보도보도기타보도기타0.03393
42021070120210701채널A채널A스페셜브라보K사이언티스트4115643650정보다큐멘터리다큐멘터리(기타)0.04745
52021070120210701채널A채널A스페셜골동품을팔아라4471153908정보다큐멘터리다큐멘터리(기타)0.04449
62021070120210701채널A나는몸신이다(재)5532564617정보생활정보생활정보(건강미용)0.12221
72021070120210701채널A수다학6533072005교육교육기타교육기타0.08493
82021070120210701채널A행복한아침(본)7290284215정보생활정보생활정보(기타)0.30514
92021070120210701채널A김진의돌직구쇼85724102037보도보도종합보도종합1.50342
BRDCST_DEBRDCST_END_DECHNNEL_NMPROGRM_NMPROGRM_BEGIN_TIMEPROGRM_END_TIMEPROGRM_GENRE_LCLAS_NMPROGRM_GENRE_MLSFC_NMPROGRM_GENRE_SCLAS_NMWTCHNG_RT
912021070120210701TV CHOSUN신청곡을불러드립니다사랑의콜센타(본)220924230038오락오락기타오락기타9.23833
922021070120210702TV CHOSUN신청곡을불러드립니다사랑의콜센타(본)2302261340오락오락기타오락기타7.86395
932021070220210702TV CHOSUN식객허영만의백반기행특별판(재)29525522정보다큐멘터리다큐멘터리(기타)1.67566
942021070220210702TV CHOSUN백세누리쇼(재)565413757정보생활정보생활정보(건강미용)1.01048
952021070220210702TV CHOSUN결혼작사이혼작곡2(재)1571415959드라마&영화드라마주말연속극0.56344
962021070220210702채널A황금나침반재테크꿀팁백서2000023054정보생활정보생활정보(생활경제)0.1243
972021070220210702채널A채널A스페셜골동품을팔아라2442933519정보다큐멘터리다큐멘터리(기타)0.15353
982021070220210702채널A채널A스페셜브라보K사이언티스트3505841605정보다큐멘터리다큐멘터리(기타)0.09773
992021070220210702채널A채널A스페셜브라보K사이언티스트4180344249정보다큐멘터리다큐멘터리(기타)0.07658
1002021070220210702채널A채널A스페셜귀여운아기동물들4551854226정보다큐멘터리다큐멘터리(기타)0.1162