Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory160.0 B

Variable types

Numeric7
Text4
Categorical4
Boolean1
DateTime2

Dataset

DescriptionKTV 국민방송에서 방송된 정책뉴스 프로그램 방송 목록에 대한 데이터로 제목,프로그램명,방송일,링크주소 등을 제공합니다.
Author문화체육관광부 한국정책방송원
URLhttps://www.data.go.kr/data/15050740/fileData.do

Alerts

카테고리아이디 has constant value ""Constant
카테고리명 has constant value ""Constant
프로그램아이디 is highly overall correlated with 프로그램회차 and 2 other fieldsHigh correlation
프로그램명 is highly overall correlated with 프로그램회차 and 2 other fieldsHigh correlation
콘텐츠아이디 is highly overall correlated with 프로그램회차High correlation
프로그램회차 is highly overall correlated with 콘텐츠아이디 and 2 other fieldsHigh correlation
방송시간(시) is highly overall correlated with 프로그램아이디 and 1 other fieldsHigh correlation
재생시간(분) is highly overall correlated with 전체영상여부High correlation
전체영상여부 is highly overall correlated with 재생시간(분)High correlation
전체영상여부 is highly imbalanced (63.6%)Imbalance
조회수 is highly skewed (γ1 = 80.95566964)Skewed
콘텐츠아이디 has unique valuesUnique
링크주소 has unique valuesUnique
팝업링크주소 has unique valuesUnique
방송시간(분) has 6261 (62.6%) zerosZeros
재생시간(분) has 2539 (25.4%) zerosZeros
재생시간(초) has 140 (1.4%) zerosZeros

Reproduction

Analysis started2024-04-21 01:17:22.361572
Analysis finished2024-04-21 01:17:30.901934
Duration8.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

콘텐츠아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean672628.66
Minimum649562
Maximum698381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:30.966372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum649562
5-th percentile651740.8
Q1660710.75
median671849
Q3684368
95-th percentile695325.65
Maximum698381
Range48819
Interquartile range (IQR)23657.25

Descriptive statistics

Standard deviation13875.679
Coefficient of variation (CV)0.020629033
Kurtosis-1.1548119
Mean672628.66
Median Absolute Deviation (MAD)11742
Skewness0.11554649
Sum6.7262866 × 109
Variance1.9253447 × 108
MonotonicityNot monotonic
2024-04-21T10:17:31.106219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
688000 1
 
< 0.1%
667668 1
 
< 0.1%
657549 1
 
< 0.1%
667511 1
 
< 0.1%
686865 1
 
< 0.1%
677942 1
 
< 0.1%
685074 1
 
< 0.1%
667791 1
 
< 0.1%
649751 1
 
< 0.1%
689655 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
649562 1
< 0.1%
649563 1
< 0.1%
649564 1
< 0.1%
649565 1
< 0.1%
649591 1
< 0.1%
649604 1
< 0.1%
649605 1
< 0.1%
649608 1
< 0.1%
649609 1
< 0.1%
649616 1
< 0.1%
ValueCountFrequency (%)
698381 1
< 0.1%
698378 1
< 0.1%
698375 1
< 0.1%
698341 1
< 0.1%
698335 1
< 0.1%
698334 1
< 0.1%
698330 1
< 0.1%
698323 1
< 0.1%
698322 1
< 0.1%
698310 1
< 0.1%

제목
Text

Distinct8045
Distinct (%)80.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:17:31.396012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length53
Mean length28.8679
Min length7

Characters and Unicode

Total characters288679
Distinct characters1147
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6444 ?
Unique (%)64.4%

Sample

1st row한-사우디 공동성명···"수소경제 등 상호투자 확대"
2nd row한일 북핵수석대표 협의···"북 도발 엄중 대응"
3rd row자문위 "행안부 내 경찰 관련 조직 신설 권고"
4th row코스피, 기관 매수로 이틀째 상승 마감 [증권시장]
5th row박진 장관, 뮌헨안보회의 참석차 출국···한일 회담 주목
ValueCountFrequency (%)
대통령 668
 
1.1%
지원 402
 
0.6%
397
 
0.6%
대한민국 352
 
0.6%
ktv 346
 
0.5%
생방송 311
 
0.5%
256
 
0.4%
강화 254
 
0.4%
브리핑 250
 
0.4%
대한뉴스 248
 
0.4%
Other values (19054) 59844
94.5%
2024-04-21T10:17:31.814739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53334
 
18.5%
· 16981
 
5.9%
" 5317
 
1.8%
4243
 
1.5%
' 3774
 
1.3%
1 3180
 
1.1%
2 2808
 
1.0%
2768
 
1.0%
2539
 
0.9%
2351
 
0.8%
Other values (1137) 191384
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178066
61.7%
Space Separator 53334
 
18.5%
Other Punctuation 31050
 
10.8%
Decimal Number 14654
 
5.1%
Uppercase Letter 4146
 
1.4%
Open Punctuation 2864
 
1.0%
Close Punctuation 2864
 
1.0%
Lowercase Letter 622
 
0.2%
Math Symbol 502
 
0.2%
Dash Punctuation 444
 
0.2%
Other values (4) 133
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4243
 
2.4%
2768
 
1.6%
2539
 
1.4%
2351
 
1.3%
2323
 
1.3%
2192
 
1.2%
2181
 
1.2%
2149
 
1.2%
2146
 
1.2%
2125
 
1.2%
Other values (1034) 153049
86.0%
Uppercase Letter
ValueCountFrequency (%)
K 637
15.4%
T 505
12.2%
V 476
11.5%
A 309
 
7.5%
S 298
 
7.2%
C 232
 
5.6%
N 215
 
5.2%
I 195
 
4.7%
R 185
 
4.5%
E 159
 
3.8%
Other values (16) 935
22.6%
Lowercase Letter
ValueCountFrequency (%)
e 164
26.4%
s 163
26.2%
w 160
25.7%
p 24
 
3.9%
m 18
 
2.9%
t 17
 
2.7%
a 12
 
1.9%
c 12
 
1.9%
o 10
 
1.6%
r 6
 
1.0%
Other values (12) 36
 
5.8%
Other Punctuation
ValueCountFrequency (%)
· 16981
54.7%
" 5317
 
17.1%
' 3774
 
12.2%
, 2252
 
7.3%
. 1067
 
3.4%
? 607
 
2.0%
! 388
 
1.2%
% 330
 
1.1%
& 312
 
1.0%
: 10
 
< 0.1%
Other values (3) 12
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
6
26.1%
3
13.0%
3
13.0%
2
 
8.7%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
1 3180
21.7%
2 2808
19.2%
0 2110
14.4%
3 1654
11.3%
5 1119
 
7.6%
4 888
 
6.1%
6 864
 
5.9%
7 740
 
5.0%
9 686
 
4.7%
8 605
 
4.1%
Math Symbol
ValueCountFrequency (%)
+ 294
58.6%
~ 114
 
22.7%
49
 
9.8%
24
 
4.8%
15
 
3.0%
4
 
0.8%
< 1
 
0.2%
> 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
[ 1748
61.0%
( 1116
39.0%
Close Punctuation
ValueCountFrequency (%)
] 1748
61.0%
) 1116
39.0%
Initial Punctuation
ValueCountFrequency (%)
40
70.2%
17
29.8%
Final Punctuation
ValueCountFrequency (%)
40
80.0%
10
 
20.0%
Space Separator
ValueCountFrequency (%)
53334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 444
100.0%
Letter Number
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177705
61.6%
Common 105841
36.7%
Latin 4766
 
1.7%
Han 362
 
0.1%
Greek 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4243
 
2.4%
2768
 
1.6%
2539
 
1.4%
2351
 
1.3%
2323
 
1.3%
2192
 
1.2%
2181
 
1.2%
2149
 
1.2%
2146
 
1.2%
2125
 
1.2%
Other values (1012) 152688
85.9%
Common
ValueCountFrequency (%)
53334
50.4%
· 16981
 
16.0%
" 5317
 
5.0%
' 3774
 
3.6%
1 3180
 
3.0%
2 2808
 
2.7%
, 2252
 
2.1%
0 2110
 
2.0%
[ 1748
 
1.7%
] 1748
 
1.7%
Other values (43) 12589
 
11.9%
Latin
ValueCountFrequency (%)
K 637
13.4%
T 505
 
10.6%
V 476
 
10.0%
A 309
 
6.5%
S 298
 
6.3%
C 232
 
4.9%
N 215
 
4.5%
I 195
 
4.1%
R 185
 
3.9%
e 164
 
3.4%
Other values (38) 1550
32.5%
Han
ValueCountFrequency (%)
173
47.8%
87
24.0%
23
 
6.4%
22
 
6.1%
16
 
4.4%
8
 
2.2%
7
 
1.9%
6
 
1.7%
2
 
0.6%
2
 
0.6%
Other values (13) 16
 
4.4%
Greek
ValueCountFrequency (%)
α 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177704
61.6%
ASCII 93395
32.4%
None 16988
 
5.9%
CJK 361
 
0.1%
Punctuation 113
 
< 0.1%
Arrows 88
 
< 0.1%
CJK Compat 10
 
< 0.1%
Geometric Shapes 6
 
< 0.1%
Misc Symbols 6
 
< 0.1%
Math Operators 4
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
53334
57.1%
" 5317
 
5.7%
' 3774
 
4.0%
1 3180
 
3.4%
2 2808
 
3.0%
, 2252
 
2.4%
0 2110
 
2.3%
[ 1748
 
1.9%
] 1748
 
1.9%
3 1654
 
1.8%
Other values (67) 15470
 
16.6%
None
ValueCountFrequency (%)
· 16981
> 99.9%
α 5
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
Hangul
ValueCountFrequency (%)
4243
 
2.4%
2768
 
1.6%
2539
 
1.4%
2351
 
1.3%
2323
 
1.3%
2192
 
1.2%
2181
 
1.2%
2149
 
1.2%
2146
 
1.2%
2125
 
1.2%
Other values (1011) 152687
85.9%
CJK
ValueCountFrequency (%)
173
47.9%
87
24.1%
23
 
6.4%
22
 
6.1%
16
 
4.4%
8
 
2.2%
7
 
1.9%
6
 
1.7%
2
 
0.6%
2
 
0.6%
Other values (12) 15
 
4.2%
Arrows
ValueCountFrequency (%)
49
55.7%
24
27.3%
15
 
17.0%
Punctuation
ValueCountFrequency (%)
40
35.4%
40
35.4%
17
15.0%
10
 
8.8%
6
 
5.3%
Geometric Shapes
ValueCountFrequency (%)
6
100.0%
Math Operators
ValueCountFrequency (%)
4
100.0%
Misc Symbols
ValueCountFrequency (%)
3
50.0%
1
 
16.7%
1
 
16.7%
1
 
16.7%
Number Forms
ValueCountFrequency (%)
3
100.0%
CJK Compat
ValueCountFrequency (%)
3
30.0%
2
20.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
1
 
10.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%

프로그램아이디
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
PG2180013D
3183 
PG2170043D
2198 
PG2170044D
1897 
PG2230027D
906 
PG2220044D
769 
Other values (3)
1047 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPG2180013D
2nd rowPG2220044D
3rd rowPG2180013D
4th rowPG2170044D
5th rowPG2180014D

Common Values

ValueCountFrequency (%)
PG2180013D 3183
31.8%
PG2170043D 2198
22.0%
PG2170044D 1897
19.0%
PG2230027D 906
 
9.1%
PG2220044D 769
 
7.7%
PG2180014D 735
 
7.3%
PG2150016D 227
 
2.3%
PG2130018D 85
 
0.9%

Length

2024-04-21T10:17:31.935072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:17:32.032082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pg2180013d 3183
31.8%
pg2170043d 2198
22.0%
pg2170044d 1897
19.0%
pg2230027d 906
 
9.1%
pg2220044d 769
 
7.7%
pg2180014d 735
 
7.3%
pg2150016d 227
 
2.3%
pg2130018d 85
 
0.9%

프로그램명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
KTV 대한뉴스
3183 
생방송 대한민국 1부
2198 
생방송 대한민국 2부
1897 
KTV 대한뉴스 7
906 
KTV 대한뉴스 8
769 
Other values (3)
1047 

Length

Max length12
Median length11
Mean length9.6628
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKTV 대한뉴스
2nd rowKTV 대한뉴스 8
3rd rowKTV 대한뉴스
4th row생방송 대한민국 2부
5th rowKTV 뉴스중심

Common Values

ValueCountFrequency (%)
KTV 대한뉴스 3183
31.8%
생방송 대한민국 1부 2198
22.0%
생방송 대한민국 2부 1897
19.0%
KTV 대한뉴스 7 906
 
9.1%
KTV 대한뉴스 8 769
 
7.7%
KTV 뉴스중심 735
 
7.3%
KTV 뉴스 (17시) 227
 
2.3%
이 시각 주요뉴스 85
 
0.9%

Length

2024-04-21T10:17:32.152689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:17:32.257908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ktv 5820
22.3%
대한뉴스 4858
18.6%
생방송 4095
15.7%
대한민국 4095
15.7%
1부 2198
 
8.4%
2부 1897
 
7.3%
7 906
 
3.5%
8 769
 
2.9%
뉴스중심 735
 
2.8%
뉴스 227
 
0.9%
Other values (4) 482
 
1.8%

카테고리아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100108
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100108
2nd row100108
3rd row100108
4th row100108
5th row100108

Common Values

ValueCountFrequency (%)
100108 10000
100.0%

Length

2024-04-21T10:17:32.364707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:17:32.457402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100108 10000
100.0%

카테고리명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정책뉴스
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정책뉴스 10000
100.0%

Length

2024-04-21T10:17:32.560922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:17:32.654752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정책뉴스 10000
100.0%

전체영상여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9304 
True
 
696
ValueCountFrequency (%)
False 9304
93.0%
True 696
 
7.0%
2024-04-21T10:17:32.718381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct9998
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:17:32.946573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length68
Min length68

Characters and Unicode

Total characters680000
Distinct characters65
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9996 ?
Unique (%)> 99.9%

Sample

1st rowhttps://www.ktv.go.kr/media/contents/image/2023/10/24/kT2ov9VmR0.jpg
2nd rowhttps://www.ktv.go.kr/media/contents/image/2022/12/20/5ynVuM8DWG.jpg
3rd rowhttps://www.ktv.go.kr/media/contents/image/2022/06/21/GYRbAae8C7.jpg
4th rowhttps://www.ktv.go.kr/media/contents/image/2022/08/12/XnHhJYKZ6E.jpg
5th rowhttps://www.ktv.go.kr/media/contents/image/2023/02/16/CCioCyRP7V.jpg
ValueCountFrequency (%)
https://www.ktv.go.kr/media/contents/image/2023/04/22/th38fje3im.jpg 2
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/02/18/5stm7aluhg.jpg 2
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2022/07/14/v4mqbql8mb.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/01/16/uyfmzavqry.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/10/13/xztcrcwjod.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/10/24/kt2ov9vmr0.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/09/07/5b9uocmnn5.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/04/02/fk3ioj4pjj.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/06/02/red340j1qe.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2023/11/30/5gksituar4.jpg 1
 
< 0.1%
Other values (9988) 9988
99.9%
2024-04-21T10:17:33.332724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 90000
 
13.2%
t 51575
 
7.6%
. 40000
 
5.9%
e 31663
 
4.7%
w 31643
 
4.7%
2 31589
 
4.6%
g 31584
 
4.6%
0 23350
 
3.4%
s 21683
 
3.2%
i 21658
 
3.2%
Other values (55) 305255
44.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 401988
59.1%
Other Punctuation 140000
 
20.6%
Decimal Number 96275
 
14.2%
Uppercase Letter 41737
 
6.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 51575
12.8%
e 31663
 
7.9%
w 31643
 
7.9%
g 31584
 
7.9%
s 21683
 
5.4%
i 21658
 
5.4%
o 21638
 
5.4%
n 21613
 
5.4%
a 21609
 
5.4%
p 21599
 
5.4%
Other values (16) 125723
31.3%
Uppercase Letter
ValueCountFrequency (%)
J 1727
 
4.1%
R 1685
 
4.0%
M 1655
 
4.0%
N 1653
 
4.0%
P 1643
 
3.9%
A 1640
 
3.9%
S 1624
 
3.9%
C 1618
 
3.9%
V 1615
 
3.9%
W 1614
 
3.9%
Other values (16) 25263
60.5%
Decimal Number
ValueCountFrequency (%)
2 31589
32.8%
0 23350
24.3%
1 11251
 
11.7%
3 9119
 
9.5%
4 4095
 
4.3%
8 3536
 
3.7%
7 3502
 
3.6%
9 3484
 
3.6%
6 3399
 
3.5%
5 2950
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 90000
64.3%
. 40000
28.6%
: 10000
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 443725
65.3%
Common 236275
34.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 51575
 
11.6%
e 31663
 
7.1%
w 31643
 
7.1%
g 31584
 
7.1%
s 21683
 
4.9%
i 21658
 
4.9%
o 21638
 
4.9%
n 21613
 
4.9%
a 21609
 
4.9%
p 21599
 
4.9%
Other values (42) 167460
37.7%
Common
ValueCountFrequency (%)
/ 90000
38.1%
. 40000
16.9%
2 31589
 
13.4%
0 23350
 
9.9%
1 11251
 
4.8%
: 10000
 
4.2%
3 9119
 
3.9%
4 4095
 
1.7%
8 3536
 
1.5%
7 3502
 
1.5%
Other values (3) 9833
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 680000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 90000
 
13.2%
t 51575
 
7.6%
. 40000
 
5.9%
e 31663
 
4.7%
w 31643
 
4.7%
2 31589
 
4.6%
g 31584
 
4.6%
0 23350
 
3.4%
s 21683
 
3.2%
i 21658
 
3.2%
Other values (55) 305255
44.9%

링크주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:17:33.578913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length52
Mean length52
Min length52

Characters and Unicode

Total characters520000
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ktv.go.kr/content/view?content_id=688000
2nd rowhttps://www.ktv.go.kr/content/view?content_id=665131
3rd rowhttps://www.ktv.go.kr/content/view?content_id=650303
4th rowhttps://www.ktv.go.kr/content/view?content_id=653893
5th rowhttps://www.ktv.go.kr/content/view?content_id=670125
ValueCountFrequency (%)
https://www.ktv.go.kr/content/view?content_id=688000 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=667791 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=651477 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=690610 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=657549 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=667511 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=686865 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=677942 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=685074 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=667668 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T10:17:33.904173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 70000
 
13.5%
/ 40000
 
7.7%
w 40000
 
7.7%
n 40000
 
7.7%
e 30000
 
5.8%
. 30000
 
5.8%
o 30000
 
5.8%
i 20000
 
3.8%
k 20000
 
3.8%
v 20000
 
3.8%
Other values (21) 180000
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 350000
67.3%
Other Punctuation 90000
 
17.3%
Decimal Number 60000
 
11.5%
Math Symbol 10000
 
1.9%
Connector Punctuation 10000
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 70000
20.0%
w 40000
11.4%
n 40000
11.4%
e 30000
8.6%
o 30000
8.6%
i 20000
 
5.7%
k 20000
 
5.7%
v 20000
 
5.7%
c 20000
 
5.7%
d 10000
 
2.9%
Other values (5) 50000
14.3%
Decimal Number
ValueCountFrequency (%)
6 16170
27.0%
5 6330
 
10.5%
7 6106
 
10.2%
8 5739
 
9.6%
9 5372
 
9.0%
1 4115
 
6.9%
3 4089
 
6.8%
0 4082
 
6.8%
4 4034
 
6.7%
2 3963
 
6.6%
Other Punctuation
ValueCountFrequency (%)
/ 40000
44.4%
. 30000
33.3%
? 10000
 
11.1%
: 10000
 
11.1%
Math Symbol
ValueCountFrequency (%)
= 10000
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 350000
67.3%
Common 170000
32.7%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 40000
23.5%
. 30000
17.6%
6 16170
9.5%
= 10000
 
5.9%
_ 10000
 
5.9%
? 10000
 
5.9%
: 10000
 
5.9%
5 6330
 
3.7%
7 6106
 
3.6%
8 5739
 
3.4%
Other values (6) 25655
15.1%
Latin
ValueCountFrequency (%)
t 70000
20.0%
w 40000
11.4%
n 40000
11.4%
e 30000
8.6%
o 30000
8.6%
i 20000
 
5.7%
k 20000
 
5.7%
v 20000
 
5.7%
c 20000
 
5.7%
d 10000
 
2.9%
Other values (5) 50000
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 520000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 70000
 
13.5%
/ 40000
 
7.7%
w 40000
 
7.7%
n 40000
 
7.7%
e 30000
 
5.8%
. 30000
 
5.8%
o 30000
 
5.8%
i 20000
 
3.8%
k 20000
 
3.8%
v 20000
 
3.8%
Other values (21) 180000
34.6%

팝업링크주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:17:34.137980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length53
Mean length53
Min length53

Characters and Unicode

Total characters530000
Distinct characters32
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowhttps://www.ktv.go.kr/content/popup?content_id=688000
2nd rowhttps://www.ktv.go.kr/content/popup?content_id=665131
3rd rowhttps://www.ktv.go.kr/content/popup?content_id=650303
4th rowhttps://www.ktv.go.kr/content/popup?content_id=653893
5th rowhttps://www.ktv.go.kr/content/popup?content_id=670125
ValueCountFrequency (%)
https://www.ktv.go.kr/content/popup?content_id=688000 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=667791 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=651477 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=690610 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=657549 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=667511 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=686865 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=677942 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=685074 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=667668 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T10:17:34.478699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 70000
 
13.2%
o 40000
 
7.5%
p 40000
 
7.5%
n 40000
 
7.5%
/ 40000
 
7.5%
w 30000
 
5.7%
. 30000
 
5.7%
e 20000
 
3.8%
c 20000
 
3.8%
k 20000
 
3.8%
Other values (22) 180000
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 360000
67.9%
Other Punctuation 90000
 
17.0%
Decimal Number 60000
 
11.3%
Connector Punctuation 10000
 
1.9%
Math Symbol 10000
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 70000
19.4%
o 40000
11.1%
p 40000
11.1%
n 40000
11.1%
w 30000
8.3%
e 20000
 
5.6%
c 20000
 
5.6%
k 20000
 
5.6%
i 10000
 
2.8%
d 10000
 
2.8%
Other values (6) 60000
16.7%
Decimal Number
ValueCountFrequency (%)
6 16170
27.0%
5 6330
 
10.5%
7 6106
 
10.2%
8 5739
 
9.6%
9 5372
 
9.0%
1 4115
 
6.9%
3 4089
 
6.8%
0 4082
 
6.8%
4 4034
 
6.7%
2 3963
 
6.6%
Other Punctuation
ValueCountFrequency (%)
/ 40000
44.4%
. 30000
33.3%
? 10000
 
11.1%
: 10000
 
11.1%
Connector Punctuation
ValueCountFrequency (%)
_ 10000
100.0%
Math Symbol
ValueCountFrequency (%)
= 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 360000
67.9%
Common 170000
32.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 70000
19.4%
o 40000
11.1%
p 40000
11.1%
n 40000
11.1%
w 30000
8.3%
e 20000
 
5.6%
c 20000
 
5.6%
k 20000
 
5.6%
i 10000
 
2.8%
d 10000
 
2.8%
Other values (6) 60000
16.7%
Common
ValueCountFrequency (%)
/ 40000
23.5%
. 30000
17.6%
6 16170
9.5%
_ 10000
 
5.9%
? 10000
 
5.9%
= 10000
 
5.9%
: 10000
 
5.9%
5 6330
 
3.7%
7 6106
 
3.6%
8 5739
 
3.4%
Other values (6) 25655
15.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 530000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 70000
 
13.2%
o 40000
 
7.5%
p 40000
 
7.5%
n 40000
 
7.5%
/ 40000
 
7.5%
w 30000
 
5.7%
. 30000
 
5.7%
e 20000
 
3.8%
c 20000
 
3.8%
k 20000
 
3.8%
Other values (22) 180000
34.0%

조회수
Real number (ℝ)

SKEWED 

Distinct665
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.1184
Minimum3
Maximum164624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:34.603689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile21
Q134
median47
Q373
95-th percentile276
Maximum164624
Range164621
Interquartile range (IQR)39

Descriptive statistics

Standard deviation1776.9676
Coefficient of variation (CV)12.773059
Kurtosis7370.0994
Mean139.1184
Median Absolute Deviation (MAD)16
Skewness80.95567
Sum1391184
Variance3157613.8
MonotonicityNot monotonic
2024-04-21T10:17:34.723230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 230
 
2.3%
34 220
 
2.2%
42 210
 
2.1%
36 209
 
2.1%
33 207
 
2.1%
38 201
 
2.0%
45 196
 
2.0%
44 193
 
1.9%
41 191
 
1.9%
43 190
 
1.9%
Other values (655) 7953
79.5%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
6 2
 
< 0.1%
7 5
 
0.1%
8 6
 
0.1%
9 5
 
0.1%
10 14
0.1%
11 22
0.2%
12 22
0.2%
ValueCountFrequency (%)
164624 1
< 0.1%
37558 1
< 0.1%
24503 1
< 0.1%
19681 1
< 0.1%
15164 1
< 0.1%
13965 1
< 0.1%
11929 1
< 0.1%
11308 1
< 0.1%
10876 1
< 0.1%
10476 1
< 0.1%

프로그램회차
Real number (ℝ)

HIGH CORRELATION 

Distinct856
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1050.4172
Minimum1
Maximum2799
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:34.838664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile43
Q11029
median1181
Q31328
95-th percentile1478
Maximum2799
Range2798
Interquartile range (IQR)299

Descriptive statistics

Standard deviation479.26795
Coefficient of variation (CV)0.45626438
Kurtosis1.353028
Mean1050.4172
Median Absolute Deviation (MAD)150
Skewness-0.91182927
Sum10504172
Variance229697.77
MonotonicityNot monotonic
2024-04-21T10:17:34.947098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1160 28
 
0.3%
1173 27
 
0.3%
1113 26
 
0.3%
1389 26
 
0.3%
1226 26
 
0.3%
1174 26
 
0.3%
1236 26
 
0.3%
1183 25
 
0.2%
1222 25
 
0.2%
1120 25
 
0.2%
Other values (846) 9740
97.4%
ValueCountFrequency (%)
1 6
 
0.1%
2 12
0.1%
3 9
0.1%
4 13
0.1%
5 6
 
0.1%
6 9
0.1%
7 16
0.2%
8 10
0.1%
9 14
0.1%
10 10
0.1%
ValueCountFrequency (%)
2799 2
< 0.1%
2797 1
< 0.1%
2795 1
< 0.1%
2794 1
< 0.1%
2792 1
< 0.1%
2790 1
< 0.1%
2789 2
< 0.1%
2787 2
< 0.1%
2786 1
< 0.1%
2785 2
< 0.1%
Distinct620
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-06-09 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T10:17:35.053813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:35.204893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방송시간(시)
Real number (ℝ)

HIGH CORRELATION 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.0178
Minimum5
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:35.303441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q110
median16
Q319
95-th percentile19
Maximum23
Range18
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.472995
Coefficient of variation (CV)0.31909393
Kurtosis-1.4658416
Mean14.0178
Median Absolute Deviation (MAD)3
Skewness-0.26583206
Sum140178
Variance20.007684
MonotonicityNot monotonic
2024-04-21T10:17:35.411106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
19 3142
31.4%
10 2108
21.1%
16 1909
19.1%
7 791
 
7.9%
8 761
 
7.6%
14 662
 
6.6%
17 235
 
2.4%
6 99
 
1.0%
12 88
 
0.9%
9 81
 
0.8%
Other values (5) 124
 
1.2%
ValueCountFrequency (%)
5 24
 
0.2%
6 99
 
1.0%
7 791
 
7.9%
8 761
 
7.6%
9 81
 
0.8%
10 2108
21.1%
11 8
 
0.1%
12 88
 
0.9%
13 65
 
0.7%
14 662
 
6.6%
ValueCountFrequency (%)
23 10
 
0.1%
19 3142
31.4%
18 17
 
0.2%
17 235
 
2.4%
16 1909
19.1%
14 662
 
6.6%
13 65
 
0.7%
12 88
 
0.9%
11 8
 
0.1%
10 2108
21.1%

방송시간(분)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.4035
Minimum0
Maximum55
Zeros6261
Zeros (%)62.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:35.504173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile30
Maximum55
Range55
Interquartile range (IQR)30

Descriptive statistics

Standard deviation15.270789
Coefficient of variation (CV)1.3391318
Kurtosis-1.0343557
Mean11.4035
Median Absolute Deviation (MAD)0
Skewness0.73521628
Sum114035
Variance233.19701
MonotonicityNot monotonic
2024-04-21T10:17:35.592922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 6261
62.6%
30 3333
33.3%
55 102
 
1.0%
50 68
 
0.7%
35 60
 
0.6%
5 50
 
0.5%
10 34
 
0.3%
40 22
 
0.2%
25 18
 
0.2%
20 18
 
0.2%
Other values (5) 34
 
0.3%
ValueCountFrequency (%)
0 6261
62.6%
1 10
 
0.1%
5 50
 
0.5%
10 34
 
0.3%
11 5
 
0.1%
15 6
 
0.1%
20 18
 
0.2%
25 18
 
0.2%
28 5
 
0.1%
30 3333
33.3%
ValueCountFrequency (%)
55 102
 
1.0%
50 68
 
0.7%
45 8
 
0.1%
40 22
 
0.2%
35 60
 
0.6%
30 3333
33.3%
28 5
 
0.1%
25 18
 
0.2%
20 18
 
0.2%
15 6
 
0.1%

재생시간(분)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct93
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6552
Minimum0
Maximum115
Zeros2539
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:35.702221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile32
Maximum115
Range115
Interquartile range (IQR)3

Descriptive statistics

Standard deviation13.519327
Coefficient of variation (CV)2.390601
Kurtosis19.492093
Mean5.6552
Median Absolute Deviation (MAD)1
Skewness4.231279
Sum56552
Variance182.77219
MonotonicityNot monotonic
2024-04-21T10:17:35.833440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 3460
34.6%
0 2539
25.4%
1 1045
 
10.4%
3 636
 
6.4%
4 561
 
5.6%
5 343
 
3.4%
6 118
 
1.2%
18 53
 
0.5%
19 53
 
0.5%
14 50
 
0.5%
Other values (83) 1142
 
11.4%
ValueCountFrequency (%)
0 2539
25.4%
1 1045
 
10.4%
2 3460
34.6%
3 636
 
6.4%
4 561
 
5.6%
5 343
 
3.4%
6 118
 
1.2%
7 49
 
0.5%
8 25
 
0.2%
9 45
 
0.4%
ValueCountFrequency (%)
115 1
 
< 0.1%
105 1
 
< 0.1%
104 2
< 0.1%
100 2
< 0.1%
98 1
 
< 0.1%
96 2
< 0.1%
94 3
< 0.1%
93 1
 
< 0.1%
92 1
 
< 0.1%
90 2
< 0.1%

재생시간(초)
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.1873
Minimum0
Maximum59
Zeros140
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:17:35.955055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q117
median31
Q344
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)27

Descriptive statistics

Standard deviation16.631394
Coefficient of variation (CV)0.55094011
Kurtosis-1.0569399
Mean30.1873
Median Absolute Deviation (MAD)13
Skewness-0.10681023
Sum301873
Variance276.60328
MonotonicityNot monotonic
2024-04-21T10:17:36.074173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 226
 
2.3%
30 225
 
2.2%
33 223
 
2.2%
34 223
 
2.2%
31 214
 
2.1%
37 213
 
2.1%
29 211
 
2.1%
32 211
 
2.1%
28 202
 
2.0%
35 200
 
2.0%
Other values (50) 7852
78.5%
ValueCountFrequency (%)
0 140
1.4%
1 176
1.8%
2 162
1.6%
3 167
1.7%
4 158
1.6%
5 156
1.6%
6 137
1.4%
7 131
1.3%
8 113
1.1%
9 140
1.4%
ValueCountFrequency (%)
59 134
1.3%
58 158
1.6%
57 137
1.4%
56 161
1.6%
55 153
1.5%
54 156
1.6%
53 148
1.5%
52 162
1.6%
51 164
1.6%
50 161
1.6%
Distinct619
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-06-09 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T10:17:36.196745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:36.506020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-21T10:17:29.778333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:25.884830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.730894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.329479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.918034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.636405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.202130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.856913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.022755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.812421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.411913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.004071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.719918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.300937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.937407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.114749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.906737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.493589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.100626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.797323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.386914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:30.012342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.360405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.984101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.581996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.222986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.869775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.465311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:30.099047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.456167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.068444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.671042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.347129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.969291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.543562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:30.188622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.544070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.145553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.752305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.450353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.044887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.620422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:30.273665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:26.634932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.238596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:27.835808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:28.546977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.124956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:17:29.699939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:17:36.589540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
콘텐츠아이디프로그램아이디프로그램명전체영상여부조회수프로그램회차방송시간(시)방송시간(분)재생시간(분)재생시간(초)
콘텐츠아이디1.0000.3900.3900.0310.0000.7850.3560.3830.0950.141
프로그램아이디0.3901.0001.0000.2170.0000.8800.9450.5630.3380.104
프로그램명0.3901.0001.0000.2170.0000.8800.9450.5630.3380.104
전체영상여부0.0310.2170.2171.0000.0000.1240.1500.0000.9740.062
조회수0.0000.0000.0000.0001.0000.0000.0000.0000.0000.018
프로그램회차0.7850.8800.8800.1240.0001.0000.8740.4280.2730.134
방송시간(시)0.3560.9450.9450.1500.0000.8741.0000.7450.3250.082
방송시간(분)0.3830.5630.5630.0000.0000.4280.7451.0000.2160.000
재생시간(분)0.0950.3380.3380.9740.0000.2730.3250.2161.0000.052
재생시간(초)0.1410.1040.1040.0620.0180.1340.0820.0000.0521.000
2024-04-21T10:17:36.692759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체영상여부프로그램아이디프로그램명
전체영상여부1.0000.1630.163
프로그램아이디0.1631.0001.000
프로그램명0.1631.0001.000
2024-04-21T10:17:36.776271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
콘텐츠아이디조회수프로그램회차방송시간(시)방송시간(분)재생시간(분)재생시간(초)프로그램아이디프로그램명전체영상여부
콘텐츠아이디1.0000.0560.577-0.033-0.1850.0830.0120.1980.1980.024
조회수0.0561.0000.1700.142-0.0320.111-0.0180.0000.0000.000
프로그램회차0.5770.1701.0000.3040.0930.252-0.0250.7890.7890.152
방송시간(시)-0.0330.1420.3041.0000.390-0.1190.0100.8340.8340.150
방송시간(분)-0.185-0.0320.0930.3901.0000.018-0.0100.3100.3100.000
재생시간(분)0.0830.1110.252-0.1190.0181.000-0.2820.1700.1700.864
재생시간(초)0.012-0.018-0.0250.010-0.010-0.2821.0000.0490.0490.048
프로그램아이디0.1980.0000.7890.8340.3100.1700.0491.0001.0000.163
프로그램명0.1980.0000.7890.8340.3100.1700.0491.0001.0000.163
전체영상여부0.0240.0000.1520.1500.0000.8640.0480.1630.1631.000

Missing values

2024-04-21T10:17:30.402340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:17:30.605151image/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

콘텐츠아이디제목프로그램아이디프로그램명카테고리아이디카테고리명전체영상여부섬네일주소링크주소팝업링크주소조회수프로그램회차방송일방송시간(시)방송시간(분)재생시간(분)재생시간(초)등록일
5233688000한-사우디 공동성명···"수소경제 등 상호투자 확대"PG2180013DKTV 대한뉴스100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2023/10/24/kT2ov9VmR0.jpghttps://www.ktv.go.kr/content/view?content_id=688000https://www.ktv.go.kr/content/popup?content_id=6880005013282023-10-241902242023-10-24
18601665131한일 북핵수석대표 협의···"북 도발 엄중 대응"PG2220044DKTV 대한뉴스 8100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/12/20/5ynVuM8DWG.jpghttps://www.ktv.go.kr/content/view?content_id=665131https://www.ktv.go.kr/content/popup?content_id=66513128722022-12-20800332022-12-20
28034650303자문위 "행안부 내 경찰 관련 조직 신설 권고"PG2180013DKTV 대한뉴스100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/06/21/GYRbAae8C7.jpghttps://www.ktv.go.kr/content/view?content_id=650303https://www.ktv.go.kr/content/popup?content_id=650303499952022-06-2119302232022-06-21
25711653893코스피, 기관 매수로 이틀째 상승 마감 [증권시장]PG2170044D생방송 대한민국 2부100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/08/12/XnHhJYKZ6E.jpghttps://www.ktv.go.kr/content/view?content_id=653893https://www.ktv.go.kr/content/popup?content_id=6538933611562022-08-1216303462022-08-12
15464670125박진 장관, 뮌헨안보회의 참석차 출국···한일 회담 주목PG2180014DKTV 뉴스중심100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2023/02/16/CCioCyRP7V.jpghttps://www.ktv.go.kr/content/view?content_id=670125https://www.ktv.go.kr/content/popup?content_id=6701251911122023-02-161400312023-02-16
2208065954450세대 이상 아파트 관리비 공개···회계 비리 근절PG2170043D생방송 대한민국 1부100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/10/25/5GYzKl8lwI.jpghttps://www.ktv.go.kr/content/view?content_id=659544https://www.ktv.go.kr/content/popup?content_id=6595443911822022-10-25100342022-10-25
23584657229한 총리, 기시다 총리 오늘 정식 면담···'관계개선 논의'PG2170043D생방송 대한민국 1부100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/09/28/Bimjzu0488.jpghttps://www.ktv.go.kr/content/view?content_id=657229https://www.ktv.go.kr/content/popup?content_id=6572294611652022-09-281002342022-09-28
2815692626실물 경제 활력 제고 내년도 산업부 예산안 주요 내용은?PG2170043D생방송 대한민국 1부100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2023/12/29/2WBs13Rsj6.jpghttps://www.ktv.go.kr/content/view?content_id=692626https://www.ktv.go.kr/content/popup?content_id=6926267414682023-12-2910015242023-12-29
21839659947윤 대통령 "경제·안보 엄중···국회협력 절실"PG2170043D생방송 대한민국 1부100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/10/28/xgZCx3WU9L.jpghttps://www.ktv.go.kr/content/view?content_id=659947https://www.ktv.go.kr/content/popup?content_id=6599474211852022-10-28100252022-10-28
6691685257'모로코 강진' 사망자 2천 명 넘어···여진 우려 계속PG2170043D생방송 대한민국 1부100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2023/09/11/IwJbp30Qzv.jpghttps://www.ktv.go.kr/content/view?content_id=685257https://www.ktv.go.kr/content/popup?content_id=6852575413972023-09-111000212023-09-11
콘텐츠아이디제목프로그램아이디프로그램명카테고리아이디카테고리명전체영상여부섬네일주소링크주소팝업링크주소조회수프로그램회차방송일방송시간(시)방송시간(분)재생시간(분)재생시간(초)등록일
2208965952550세대 이상 아파트 관리비 공개···회계 비리 근절PG2220044DKTV 대한뉴스 8100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/10/25/5xbjNx3K0u.jpghttps://www.ktv.go.kr/content/view?content_id=659525https://www.ktv.go.kr/content/popup?content_id=65952554322022-10-2580332022-10-25
16427668665과기정통부, 5G 28㎓ 신규사업자에 독점 제공PG2180013DKTV 대한뉴스100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2023/01/31/Y1Bo2I5XaM.jpghttps://www.ktv.go.kr/content/view?content_id=668665https://www.ktv.go.kr/content/popup?content_id=6686652611482023-01-3119300342023-01-31
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28027650310우주 산업 2040년 1조 달러 전망···국내 기업 약진 기대PG2180013DKTV 대한뉴스100108정책뉴스Nhttps://www.ktv.go.kr/media/contents/image/2022/06/21/kCw2DOQmM5.jpghttps://www.ktv.go.kr/content/view?content_id=650310https://www.ktv.go.kr/content/popup?content_id=65031019359952022-06-2119302102022-06-21
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