Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells12898
Missing cells (%)7.2%
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 특집 프로그램 방송 목록으로 제목,프로그램명,방송일,링크주소 등의 데이터를 제공합니다.
Author문화체육관광부 한국정책방송원
URLhttps://www.data.go.kr/data/15050737/fileData.do

Alerts

카테고리아이디 has constant value ""Constant
카테고리명 has constant value ""Constant
프로그램명 is highly overall correlated with 프로그램아이디High correlation
프로그램아이디 is highly overall correlated with 프로그램명High correlation
콘텐츠아이디 is highly overall correlated with 조회수 and 1 other fieldsHigh correlation
조회수 is highly overall correlated with 콘텐츠아이디High correlation
전체영상여부 is highly overall correlated with 콘텐츠아이디High correlation
방송시간(시) has 6433 (64.3%) missing valuesMissing
방송시간(분) has 6433 (64.3%) missing valuesMissing
조회수 is highly skewed (γ1 = 36.80120036)Skewed
콘텐츠아이디 has unique valuesUnique
링크주소 has unique valuesUnique
팝업링크주소 has unique valuesUnique
방송시간(분) has 1980 (19.8%) zerosZeros
재생시간(분) has 755 (7.5%) zerosZeros
재생시간(초) has 887 (8.9%) zerosZeros

Reproduction

Analysis started2024-04-21 01:15:41.671599
Analysis finished2024-04-21 01:15:50.185746
Duration8.51 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%
Mean330954.62
Minimum51396
Maximum698077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:15:50.247591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51396
5-th percentile73015.85
Q1138766.25
median267949.5
Q3493464.25
95-th percentile625556.55
Maximum698077
Range646681
Interquartile range (IQR)354698

Descriptive statistics

Standard deviation197084.1
Coefficient of variation (CV)0.59550187
Kurtosis-1.4465214
Mean330954.62
Median Absolute Deviation (MAD)173132
Skewness0.20718081
Sum3.3095462 × 109
Variance3.8842141 × 1010
MonotonicityNot monotonic
2024-04-21T10:15:50.551971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
660161 1
 
< 0.1%
587746 1
 
< 0.1%
118953 1
 
< 0.1%
122046 1
 
< 0.1%
481998 1
 
< 0.1%
297855 1
 
< 0.1%
605102 1
 
< 0.1%
170438 1
 
< 0.1%
517155 1
 
< 0.1%
489262 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
51396 1
< 0.1%
51443 1
< 0.1%
51573 1
< 0.1%
51689 1
< 0.1%
51716 1
< 0.1%
51717 1
< 0.1%
51719 1
< 0.1%
51720 1
< 0.1%
51721 1
< 0.1%
51723 1
< 0.1%
ValueCountFrequency (%)
698077 1
< 0.1%
698076 1
< 0.1%
697821 1
< 0.1%
697820 1
< 0.1%
697653 1
< 0.1%
697652 1
< 0.1%
697491 1
< 0.1%
697490 1
< 0.1%
696776 1
< 0.1%
696772 1
< 0.1%

제목
Text

Distinct7939
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:15:50.827099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length50
Mean length21.7029
Min length1

Characters and Unicode

Total characters217029
Distinct characters1155
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks12 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6333 ?
Unique (%)63.3%

Sample

1st row윤 대통령 대국민담화···"국가애도기간 선포"
2nd row'n번방 사태' 수사 진행 상황과 디지털성범죄 대응 과제는?
3rd row도박, 영혼을 베팅한 사람들
4th row공동번영과 화합의 장! 2012여수세계박람회
5th row용산 국립중앙박물관 개관
ValueCountFrequency (%)
1326
 
2.7%
대통령 621
 
1.3%
1부 316
 
0.6%
2부 311
 
0.6%
코로나19 272
 
0.5%
대한민국 250
 
0.5%
브리핑 213
 
0.4%
위한 173
 
0.3%
기념식 152
 
0.3%
3부 145
 
0.3%
Other values (15140) 45780
92.4%
2024-04-21T10:15:51.222156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39602
 
18.2%
의 4000
 
1.8%
1 3367
 
1.6%
- 3234
 
1.5%
대 3100
 
1.4%
2 3016
 
1.4%
· 2664
 
1.2%
0 2513
 
1.2%
국 2444
 
1.1%
제 2362
 
1.1%
Other values (1145) 150727
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141273
65.1%
Space Separator 39602
 
18.2%
Decimal Number 15105
 
7.0%
Other Punctuation 9782
 
4.5%
Dash Punctuation 3234
 
1.5%
Uppercase Letter 2812
 
1.3%
Open Punctuation 1960
 
0.9%
Close Punctuation 1959
 
0.9%
Lowercase Letter 840
 
0.4%
Math Symbol 254
 
0.1%
Other values (6) 208
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 4000
 
2.8%
대 3100
 
2.2%
국 2444
 
1.7%
제 2362
 
1.7%
한 2216
 
1.6%
부 2147
 
1.5%
사 2101
 
1.5%
기 2045
 
1.4%
회 1941
 
1.4%
이 1751
 
1.2%
Other values (1034) 117166
82.9%
Uppercase Letter
ValueCountFrequency (%)
A 315
11.2%
T 313
11.1%
K 299
10.6%
V 256
 
9.1%
E 225
 
8.0%
C 162
 
5.8%
S 151
 
5.4%
N 138
 
4.9%
P 137
 
4.9%
O 119
 
4.2%
Other values (16) 697
24.8%
Lowercase Letter
ValueCountFrequency (%)
e 159
18.9%
o 110
13.1%
r 89
10.6%
a 57
 
6.8%
i 49
 
5.8%
n 49
 
5.8%
b 48
 
5.7%
s 48
 
5.7%
c 36
 
4.3%
f 28
 
3.3%
Other values (14) 167
19.9%
Other Punctuation
ValueCountFrequency (%)
· 2664
27.2%
, 1990
20.3%
' 1438
14.7%
" 1269
13.0%
. 992
 
10.1%
… 402
 
4.1%
! 358
 
3.7%
? 348
 
3.6%
: 133
 
1.4%
% 63
 
0.6%
Other values (7) 125
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 3367
22.3%
2 3016
20.0%
0 2513
16.6%
3 1380
9.1%
6 1099
 
7.3%
5 949
 
6.3%
4 874
 
5.8%
9 804
 
5.3%
7 644
 
4.3%
8 459
 
3.0%
Math Symbol
ValueCountFrequency (%)
< 98
38.6%
> 98
38.6%
~ 21
 
8.3%
+ 21
 
8.3%
∼ 10
 
3.9%
↑ 3
 
1.2%
↓ 2
 
0.8%
＋ 1
 
0.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 19
33.3%
Ⅱ 19
33.3%
Ⅲ 13
22.8%
Ⅴ 3
 
5.3%
Ⅳ 2
 
3.5%
Ⅵ 1
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 1525
77.8%
] 268
 
13.7%
} 164
 
8.4%
」 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1525
77.8%
[ 268
 
13.7%
{ 165
 
8.4%
「 2
 
0.1%
Other Number
ValueCountFrequency (%)
① 2
40.0%
② 2
40.0%
③ 1
20.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 26
74.3%
“ 9
 
25.7%
Final Punctuation
ValueCountFrequency (%)
’ 25
75.8%
” 8
 
24.2%
Other Symbol
ValueCountFrequency (%)
㎜ 1
50.0%
㎡ 1
50.0%
Space Separator
ValueCountFrequency (%)
39602
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3234
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141004
65.0%
Common 72047
33.2%
Latin 3709
 
1.7%
Han 269
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 4000
 
2.8%
대 3100
 
2.2%
국 2444
 
1.7%
제 2362
 
1.7%
한 2216
 
1.6%
부 2147
 
1.5%
사 2101
 
1.5%
기 2045
 
1.5%
회 1941
 
1.4%
이 1751
 
1.2%
Other values (979) 116897
82.9%
Latin
ValueCountFrequency (%)
A 315
 
8.5%
T 313
 
8.4%
K 299
 
8.1%
V 256
 
6.9%
E 225
 
6.1%
C 162
 
4.4%
e 159
 
4.3%
S 151
 
4.1%
N 138
 
3.7%
P 137
 
3.7%
Other values (46) 1554
41.9%
Common
ValueCountFrequency (%)
39602
55.0%
1 3367
 
4.7%
- 3234
 
4.5%
2 3016
 
4.2%
· 2664
 
3.7%
0 2513
 
3.5%
, 1990
 
2.8%
) 1525
 
2.1%
( 1525
 
2.1%
' 1438
 
2.0%
Other values (45) 11173
 
15.5%
Han
ValueCountFrequency (%)
北 76
28.3%
美 37
13.8%
靑 21
 
7.8%
日 21
 
7.8%
新 17
 
6.3%
故 12
 
4.5%
韓 7
 
2.6%
中 4
 
1.5%
前 4
 
1.5%
人 4
 
1.5%
Other values (45) 66
24.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 140995
65.0%
ASCII 72520
33.4%
None 2687
 
1.2%
Punctuation 470
 
0.2%
CJK 266
 
0.1%
Number Forms 57
 
< 0.1%
Math Operators 10
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Arrows 5
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39602
54.6%
1 3367
 
4.6%
- 3234
 
4.5%
2 3016
 
4.2%
0 2513
 
3.5%
, 1990
 
2.7%
) 1525
 
2.1%
( 1525
 
2.1%
' 1438
 
2.0%
3 1380
 
1.9%
Other values (76) 12930
 
17.8%
Hangul
ValueCountFrequency (%)
의 4000
 
2.8%
대 3100
 
2.2%
국 2444
 
1.7%
제 2362
 
1.7%
한 2216
 
1.6%
부 2147
 
1.5%
사 2101
 
1.5%
기 2045
 
1.5%
회 1941
 
1.4%
이 1751
 
1.2%
Other values (978) 116888
82.9%
None
ValueCountFrequency (%)
· 2664
99.1%
＇ 16
 
0.6%
「 2
 
0.1%
」 2
 
0.1%
， 2
 
0.1%
＋ 1
 
< 0.1%
Punctuation
ValueCountFrequency (%)
… 402
85.5%
‘ 26
 
5.5%
’ 25
 
5.3%
“ 9
 
1.9%
” 8
 
1.7%
CJK
ValueCountFrequency (%)
北 76
28.6%
美 37
13.9%
靑 21
 
7.9%
日 21
 
7.9%
新 17
 
6.4%
故 12
 
4.5%
韓 7
 
2.6%
中 4
 
1.5%
前 4
 
1.5%
人 4
 
1.5%
Other values (42) 63
23.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 19
33.3%
Ⅱ 19
33.3%
Ⅲ 13
22.8%
Ⅴ 3
 
5.3%
Ⅳ 2
 
3.5%
Ⅵ 1
 
1.8%
Math Operators
ValueCountFrequency (%)
∼ 10
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
100.0%
Arrows
ValueCountFrequency (%)
↑ 3
60.0%
↓ 2
40.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
40.0%
② 2
40.0%
③ 1
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
老 1
33.3%
龍 1
33.3%
女 1
33.3%
CJK Compat
ValueCountFrequency (%)
㎜ 1
50.0%
㎡ 1
50.0%

프로그램아이디
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
PG1110122D
2621 
PG1110921D
2286 
PG1110894D
1442 
PG1110282D
957 
PG1110712D
461 
Other values (42)
2233 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st rowPG1110894D
2nd rowPG1110921D
3rd rowPG1110712D
4th rowPG1110762D
5th rowPG1110122D

Common Values

ValueCountFrequency (%)
PG1110122D 2621
26.2%
PG1110921D 2286
22.9%
PG1110894D 1442
14.4%
PG1110282D 957
 
9.6%
PG1110712D 461
 
4.6%
PG2120151D 343
 
3.4%
PG1110785D 304
 
3.0%
PG1110208D 267
 
2.7%
PG1110738D 252
 
2.5%
PG1110194D 213
 
2.1%
Other values (37) 854
 
8.5%

Length

2024-04-21T10:15:51.334588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
pg1110122d 2621
26.2%
pg1110921d 2286
22.9%
pg1110894d 1442
14.4%
pg1110282d 957
 
9.6%
pg1110712d 461
 
4.6%
pg2120151d 343
 
3.4%
pg1110785d 304
 
3.0%
pg1110208d 267
 
2.7%
pg1110738d 252
 
2.5%
pg1110194d 213
 
2.1%
Other values (37) 854
 
8.5%

프로그램명
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
특집
2621 
특별생방송
2286 
KTV 특보
1442 
KTV특선다큐
957 
시사다큐
461 
Other values (42)
2233 

Length

Max length30
Median length27
Mean length5.8734
Min length2

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st rowKTV 특보
2nd row특별생방송
3rd row시사다큐
4th rowKTV 스페셜 (2006~2008년 제작)
5th row특집

Common Values

ValueCountFrequency (%)
특집 2621
26.2%
특별생방송 2286
22.9%
KTV 특보 1442
14.4%
KTV특선다큐 957
 
9.6%
시사다큐 461
 
4.6%
KTV 특집 (자체) 343
 
3.4%
KTV 특별기획 (자체) 304
 
3.0%
KTV스페셜 267
 
2.7%
KTV 특별기획-라이프 252
 
2.5%
KTV특선다큐멘터리 213
 
2.1%
Other values (37) 854
 
8.5%

Length

2024-04-21T10:15:51.450976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
특집 2974
20.9%
ktv 2916
20.5%
특별생방송 2286
16.1%
특보 1442
10.1%
ktv특선다큐 957
 
6.7%
자체 647
 
4.6%
시사다큐 461
 
3.2%
특별기획 343
 
2.4%
ktv스페셜 267
 
1.9%
특별기획-라이프 252
 
1.8%
Other values (66) 1664
11.7%

카테고리아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100111
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100111
2nd row100111
3rd row100111
4th row100111
5th row100111

Common Values

ValueCountFrequency (%)
100111 10000
100.0%

Length

2024-04-21T10:15:51.550660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:51.625828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100111 10000
100.0%

카테고리명
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
특집 10000
100.0%

Length

2024-04-21T10:15:51.704642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:51.775683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특집 10000
100.0%

전체영상여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
5589 
True
4411 
ValueCountFrequency (%)
False 5589
55.9%
True 4411
44.1%
2024-04-21T10:15:51.841599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

섬네일주소
Text

Distinct5035
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:15:51.996276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length76
Mean length68.4767
Min length64

Characters and Unicode

Total characters684767
Distinct characters66
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

Unique5034 ?
Unique (%)50.3%

Sample

1st rowhttps://www.ktv.go.kr/media/contents/image/2022/10/30/vfNNJ16la7.jpg
2nd rowhttps://www.ktv.go.kr/media/contents/image/2020/04/16/cxk0M0MyWk.jpg
3rd rowhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpg
4th rowhttps://www.ktv.go.kr/media/old/program/content_xml/13/54013_1.3_image_1.jpg
5th rowhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpg
ValueCountFrequency (%)
https://www.ktv.go.kr/resources/images/common/img_replace_01.jpg 4966
49.7%
https://www.ktv.go.kr/media/old/program/content_xml/39/482339_1.1_image_1.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2020/03/01/hnrhwkzzqc.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/old/program/content_xml/68/482368_1.2_image_1.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/old/program/content_xml/51/420351_1.1_image_1.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/old/program/content_xml/49/360849_1.0_image_1.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2020/04/07/psbhwphcmd.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2020/03/23/rtrdlc7iek.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2020/03/09/q0rggynm2h.jpg 1
 
< 0.1%
https://www.ktv.go.kr/media/contents/image/2018/03/06/f7e41xsy7x.jpg 1
 
< 0.1%
Other values (5025) 5025
50.2%
2024-04-21T10:15:52.260744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 72334
 
10.6%
. 42768
 
6.2%
t 40425
 
5.9%
e 40285
 
5.9%
g 38084
 
5.6%
m 35865
 
5.2%
o 35849
 
5.2%
r 30788
 
4.5%
w 30393
 
4.4%
p 28087
 
4.1%
Other values (56) 289889
42.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 467337
68.2%
Other Punctuation 125102
 
18.3%
Decimal Number 61903
 
9.0%
Connector Punctuation 21004
 
3.1%
Uppercase Letter 9421
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 40425
 
8.7%
e 40285
 
8.6%
g 38084
 
8.1%
m 35865
 
7.7%
o 35849
 
7.7%
r 30788
 
6.6%
w 30393
 
6.5%
p 28087
 
6.0%
s 27555
 
5.9%
a 23140
 
5.0%
Other values (16) 136866
29.3%
Uppercase Letter
ValueCountFrequency (%)
N 412
 
4.4%
M 395
 
4.2%
L 392
 
4.2%
Y 386
 
4.1%
H 382
 
4.1%
J 378
 
4.0%
C 374
 
4.0%
P 369
 
3.9%
Q 368
 
3.9%
T 367
 
3.9%
Other values (16) 5598
59.4%
Decimal Number
ValueCountFrequency (%)
1 16667
26.9%
0 13984
22.6%
2 8575
13.9%
4 4771
 
7.7%
3 3809
 
6.2%
8 3313
 
5.4%
5 2877
 
4.6%
9 2776
 
4.5%
7 2580
 
4.2%
6 2551
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/ 72334
57.8%
. 42768
34.2%
: 10000
 
8.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21004
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 476758
69.6%
Common 208009
30.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 40425
 
8.5%
e 40285
 
8.4%
g 38084
 
8.0%
m 35865
 
7.5%
o 35849
 
7.5%
r 30788
 
6.5%
w 30393
 
6.4%
p 28087
 
5.9%
s 27555
 
5.8%
a 23140
 
4.9%
Other values (42) 146287
30.7%
Common
ValueCountFrequency (%)
/ 72334
34.8%
. 42768
20.6%
_ 21004
 
10.1%
1 16667
 
8.0%
0 13984
 
6.7%
: 10000
 
4.8%
2 8575
 
4.1%
4 4771
 
2.3%
3 3809
 
1.8%
8 3313
 
1.6%
Other values (4) 10784
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 72334
 
10.6%
. 42768
 
6.2%
t 40425
 
5.9%
e 40285
 
5.9%
g 38084
 
5.6%
m 35865
 
5.2%
o 35849
 
5.2%
r 30788
 
4.5%
w 30393
 
4.4%
p 28087
 
4.1%
Other values (56) 289889
42.3%

링크주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:15:52.467680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length52
Mean length51.8817
Min length51

Characters and Unicode

Total characters518817
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=660161
2nd rowhttps://www.ktv.go.kr/content/view?content_id=598030
3rd rowhttps://www.ktv.go.kr/content/view?content_id=279015
4th rowhttps://www.ktv.go.kr/content/view?content_id=54013
5th rowhttps://www.ktv.go.kr/content/view?content_id=115941
ValueCountFrequency (%)
https://www.ktv.go.kr/content/view?content_id=660161 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=170438 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=422278 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=172958 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=118953 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=122046 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=481998 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=297855 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=605102 1
 
< 0.1%
https://www.ktv.go.kr/content/view?content_id=587746 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T10:15:52.779166image/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%
k 20000
 
3.9%
v 20000
 
3.9%
i 20000
 
3.9%
Other values (21) 178817
34.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 350000
67.5%
Other Punctuation 90000
 
17.3%
Decimal Number 58817
 
11.3%
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%
k 20000
 
5.7%
v 20000
 
5.7%
i 20000
 
5.7%
c 20000
 
5.7%
d 10000
 
2.9%
Other values (5) 50000
14.3%
Decimal Number
ValueCountFrequency (%)
1 7315
12.4%
5 7218
12.3%
2 6696
11.4%
4 6621
11.3%
6 5715
9.7%
9 5663
9.6%
8 5228
8.9%
7 5026
8.5%
3 4871
8.3%
0 4464
7.6%
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
67.5%
Common 168817
32.5%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 40000
23.7%
. 30000
17.8%
= 10000
 
5.9%
_ 10000
 
5.9%
? 10000
 
5.9%
: 10000
 
5.9%
1 7315
 
4.3%
5 7218
 
4.3%
2 6696
 
4.0%
4 6621
 
3.9%
Other values (6) 30967
18.3%
Latin
ValueCountFrequency (%)
t 70000
20.0%
w 40000
11.4%
n 40000
11.4%
e 30000
8.6%
o 30000
8.6%
k 20000
 
5.7%
v 20000
 
5.7%
i 20000
 
5.7%
c 20000
 
5.7%
d 10000
 
2.9%
Other values (5) 50000
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 518817
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%
k 20000
 
3.9%
v 20000
 
3.9%
i 20000
 
3.9%
Other values (21) 178817
34.5%

팝업링크주소
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T10:15:53.009392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length53
Mean length52.8817
Min length52

Characters and Unicode

Total characters528817
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=660161
2nd rowhttps://www.ktv.go.kr/content/popup?content_id=598030
3rd rowhttps://www.ktv.go.kr/content/popup?content_id=279015
4th rowhttps://www.ktv.go.kr/content/popup?content_id=54013
5th rowhttps://www.ktv.go.kr/content/popup?content_id=115941
ValueCountFrequency (%)
https://www.ktv.go.kr/content/popup?content_id=660161 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=170438 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=422278 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=172958 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=118953 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=122046 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=481998 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=297855 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=605102 1
 
< 0.1%
https://www.ktv.go.kr/content/popup?content_id=587746 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T10:15:53.325270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 70000
 
13.2%
p 40000
 
7.6%
/ 40000
 
7.6%
o 40000
 
7.6%
n 40000
 
7.6%
w 30000
 
5.7%
. 30000
 
5.7%
k 20000
 
3.8%
c 20000
 
3.8%
e 20000
 
3.8%
Other values (22) 178817
33.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 360000
68.1%
Other Punctuation 90000
 
17.0%
Decimal Number 58817
 
11.1%
Math Symbol 10000
 
1.9%
Connector Punctuation 10000
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 70000
19.4%
p 40000
11.1%
o 40000
11.1%
n 40000
11.1%
w 30000
8.3%
k 20000
 
5.6%
c 20000
 
5.6%
e 20000
 
5.6%
h 10000
 
2.8%
d 10000
 
2.8%
Other values (6) 60000
16.7%
Decimal Number
ValueCountFrequency (%)
1 7315
12.4%
5 7218
12.3%
2 6696
11.4%
4 6621
11.3%
6 5715
9.7%
9 5663
9.6%
8 5228
8.9%
7 5026
8.5%
3 4871
8.3%
0 4464
7.6%
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 360000
68.1%
Common 168817
31.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 70000
19.4%
p 40000
11.1%
o 40000
11.1%
n 40000
11.1%
w 30000
8.3%
k 20000
 
5.6%
c 20000
 
5.6%
e 20000
 
5.6%
h 10000
 
2.8%
d 10000
 
2.8%
Other values (6) 60000
16.7%
Common
ValueCountFrequency (%)
/ 40000
23.7%
. 30000
17.8%
= 10000
 
5.9%
_ 10000
 
5.9%
? 10000
 
5.9%
: 10000
 
5.9%
1 7315
 
4.3%
5 7218
 
4.3%
2 6696
 
4.0%
4 6621
 
3.9%
Other values (6) 30967
18.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 70000
 
13.2%
p 40000
 
7.6%
/ 40000
 
7.6%
o 40000
 
7.6%
n 40000
 
7.6%
w 30000
 
5.7%
. 30000
 
5.7%
k 20000
 
3.8%
c 20000
 
3.8%
e 20000
 
3.8%
Other values (22) 178817
33.8%

조회수
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct879
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.9174
Minimum2
Maximum32239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:15:53.449414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q110
median53
Q3155
95-th percentile514
Maximum32239
Range32237
Interquartile range (IQR)145

Descriptive statistics

Standard deviation519.72963
Coefficient of variation (CV)3.5618071
Kurtosis1978.1882
Mean145.9174
Median Absolute Deviation (MAD)49
Skewness36.8012
Sum1459174
Variance270118.89
MonotonicityNot monotonic
2024-04-21T10:15:53.573173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 883
 
8.8%
3 382
 
3.8%
5 211
 
2.1%
10 208
 
2.1%
6 201
 
2.0%
4 190
 
1.9%
9 190
 
1.9%
11 173
 
1.7%
7 148
 
1.5%
8 142
 
1.4%
Other values (869) 7272
72.7%
ValueCountFrequency (%)
2 883
8.8%
3 382
3.8%
4 190
 
1.9%
5 211
 
2.1%
6 201
 
2.0%
7 148
 
1.5%
8 142
 
1.4%
9 190
 
1.9%
10 208
 
2.1%
11 173
 
1.7%
ValueCountFrequency (%)
32239 1
< 0.1%
24548 1
< 0.1%
11444 1
< 0.1%
8403 1
< 0.1%
6659 1
< 0.1%
6591 1
< 0.1%
5430 1
< 0.1%
4608 1
< 0.1%
4406 1
< 0.1%
4373 1
< 0.1%

프로그램회차
Real number (ℝ)

Distinct1463
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean415.9617
Minimum0
Maximum1594
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:15:53.720094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q1107
median344
Q3667
95-th percentile1062
Maximum1594
Range1594
Interquartile range (IQR)560

Descriptive statistics

Standard deviation347.97086
Coefficient of variation (CV)0.83654542
Kurtosis0.18231018
Mean415.9617
Median Absolute Deviation (MAD)271
Skewness0.82639428
Sum4159617
Variance121083.72
MonotonicityNot monotonic
2024-04-21T10:15:53.840604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 62
 
0.6%
3 58
 
0.6%
2 57
 
0.6%
1 53
 
0.5%
8 49
 
0.5%
5 47
 
0.5%
11 47
 
0.5%
7 44
 
0.4%
17 43
 
0.4%
6 41
 
0.4%
Other values (1453) 9499
95.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 53
0.5%
2 57
0.6%
3 58
0.6%
4 62
0.6%
5 47
0.5%
6 41
0.4%
7 44
0.4%
8 49
0.5%
9 40
0.4%
ValueCountFrequency (%)
1594 1
< 0.1%
1593 1
< 0.1%
1589 1
< 0.1%
1587 1
< 0.1%
1586 1
< 0.1%
1585 1
< 0.1%
1584 1
< 0.1%
1583 1
< 0.1%
1582 1
< 0.1%
1581 1
< 0.1%

방송일
Date

Distinct3219
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1900-01-01 00:00:00
Maximum2024-03-27 00:00:00
2024-04-21T10:15:53.959076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:54.082443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방송시간(시)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.7%
Missing6433
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean13.303616
Minimum0
Maximum23
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:15:54.194755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q110
median13
Q316
95-th percentile20
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.7932469
Coefficient of variation (CV)0.285129
Kurtosis0.72540647
Mean13.303616
Median Absolute Deviation (MAD)3
Skewness-0.1410048
Sum47454
Variance14.388722
MonotonicityNot monotonic
2024-04-21T10:15:54.297652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10 818
 
8.2%
16 522
 
5.2%
13 503
 
5.0%
14 375
 
3.8%
17 252
 
2.5%
9 202
 
2.0%
15 201
 
2.0%
18 112
 
1.1%
8 95
 
0.9%
11 83
 
0.8%
Other values (14) 404
 
4.0%
(Missing) 6433
64.3%
ValueCountFrequency (%)
0 31
 
0.3%
1 10
 
0.1%
2 5
 
0.1%
3 4
 
< 0.1%
4 3
 
< 0.1%
5 3
 
< 0.1%
6 9
 
0.1%
7 29
 
0.3%
8 95
0.9%
9 202
2.0%
ValueCountFrequency (%)
23 34
 
0.3%
22 46
 
0.5%
21 44
 
0.4%
20 74
 
0.7%
19 67
 
0.7%
18 112
 
1.1%
17 252
2.5%
16 522
5.2%
15 201
 
2.0%
14 375
3.8%

방송시간(분)
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)0.6%
Missing6433
Missing (%)64.3%
Infinite0
Infinite (%)0.0%
Mean13.571909
Minimum0
Maximum59
Zeros1980
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:15:54.388367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile50
Maximum59
Range59
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.057171
Coefficient of variation (CV)1.2567997
Kurtosis-0.72166696
Mean13.571909
Median Absolute Deviation (MAD)0
Skewness0.79011023
Sum48411
Variance290.94709
MonotonicityNot monotonic
2024-04-21T10:15:54.546140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 1980
 
19.8%
30 919
 
9.2%
10 101
 
1.0%
50 96
 
1.0%
55 86
 
0.9%
40 81
 
0.8%
20 80
 
0.8%
5 65
 
0.7%
35 38
 
0.4%
45 37
 
0.4%
Other values (10) 84
 
0.8%
(Missing) 6433
64.3%
ValueCountFrequency (%)
0 1980
19.8%
2 4
 
< 0.1%
5 65
 
0.7%
10 101
 
1.0%
14 1
 
< 0.1%
15 27
 
0.3%
20 80
 
0.8%
25 37
 
0.4%
29 2
 
< 0.1%
30 919
9.2%
ValueCountFrequency (%)
59 6
 
0.1%
58 4
 
< 0.1%
55 86
0.9%
54 1
 
< 0.1%
50 96
1.0%
47 1
 
< 0.1%
45 37
 
0.4%
44 1
 
< 0.1%
40 81
0.8%
35 38
 
0.4%

재생시간(분)
Real number (ℝ)

ZEROS 

Distinct180
Distinct (%)1.8%
Missing16
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean31.8127
Minimum0
Maximum676
Zeros755
Zeros (%)7.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:15:54.700536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median26
Q347
95-th percentile89
Maximum676
Range676
Interquartile range (IQR)43

Descriptive statistics

Standard deviation37.055762
Coefficient of variation (CV)1.1648103
Kurtosis80.498193
Mean31.8127
Median Absolute Deviation (MAD)21
Skewness5.9787685
Sum317618
Variance1373.1295
MonotonicityNot monotonic
2024-04-21T10:15:54.887043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 812
 
8.1%
0 755
 
7.5%
1 605
 
6.0%
26 439
 
4.4%
25 375
 
3.8%
47 288
 
2.9%
46 263
 
2.6%
27 258
 
2.6%
48 243
 
2.4%
22 220
 
2.2%
Other values (170) 5726
57.3%
ValueCountFrequency (%)
0 755
7.5%
1 605
6.0%
2 812
8.1%
3 199
 
2.0%
4 142
 
1.4%
5 92
 
0.9%
6 83
 
0.8%
7 91
 
0.9%
8 80
 
0.8%
9 137
 
1.4%
ValueCountFrequency (%)
676 8
0.1%
420 1
 
< 0.1%
298 9
0.1%
293 10
0.1%
286 1
 
< 0.1%
259 2
 
< 0.1%
258 1
 
< 0.1%
254 1
 
< 0.1%
252 1
 
< 0.1%
241 1
 
< 0.1%

재생시간(초)
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)0.6%
Missing16
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean27.433694
Minimum0
Maximum59
Zeros887
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T10:15:55.034175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median28
Q343
95-th percentile56
Maximum59
Range59
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.057473
Coefficient of variation (CV)0.65822244
Kurtosis-1.2154113
Mean27.433694
Median Absolute Deviation (MAD)16
Skewness0.024296059
Sum273898
Variance326.07233
MonotonicityNot monotonic
2024-04-21T10:15:55.174966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 887
 
8.9%
30 223
 
2.2%
38 199
 
2.0%
28 193
 
1.9%
45 188
 
1.9%
20 183
 
1.8%
25 182
 
1.8%
37 180
 
1.8%
32 180
 
1.8%
52 178
 
1.8%
Other values (50) 7391
73.9%
ValueCountFrequency (%)
0 887
8.9%
1 131
 
1.3%
2 150
 
1.5%
3 147
 
1.5%
4 151
 
1.5%
5 140
 
1.4%
6 124
 
1.2%
7 169
 
1.7%
8 150
 
1.5%
9 129
 
1.3%
ValueCountFrequency (%)
59 127
1.3%
58 129
1.3%
57 155
1.6%
56 108
1.1%
55 171
1.7%
54 162
1.6%
53 143
1.4%
52 178
1.8%
51 132
1.3%
50 164
1.6%

등록일
Date

Distinct3022
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1900-01-01 00:00:00
Maximum2024-03-27 00:00:00
2024-04-21T10:15:55.598352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:55.737309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-04-21T10:15:49.011280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:45.079390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:45.732320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.478014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.152558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.748215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.356558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:49.102194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:45.218880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:45.814684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.605975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.247473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.835581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.466720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:49.194501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:45.313140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.048877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.703220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.342728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.918679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.555334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:49.295182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:45.401298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.131877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.806581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.418457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.003030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.658818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:49.389285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:45.477629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.208599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.883562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.494181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.086920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.736128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:49.483707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:45.565365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.298648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.969559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.571882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.173033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.824811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:49.592997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:45.650882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:46.387052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.062204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:47.664067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.258716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:48.923975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:15:55.839223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
콘텐츠아이디프로그램아이디프로그램명전체영상여부조회수프로그램회차방송시간(시)방송시간(분)재생시간(분)재생시간(초)
콘텐츠아이디1.0000.8540.8540.7250.1050.8480.4760.5490.1370.316
프로그램아이디0.8541.0001.0000.4500.6140.7190.6040.3950.2680.300
프로그램명0.8541.0001.0000.4500.6140.7190.6040.3950.2680.300
전체영상여부0.7250.4500.4501.0000.0320.3190.3700.3550.1100.080
조회수0.1050.6140.6140.0321.0000.0000.0580.0380.0000.008
프로그램회차0.8480.7190.7190.3190.0001.0000.4170.4100.1890.217
방송시간(시)0.4760.6040.6040.3700.0580.4171.0000.5880.0590.124
방송시간(분)0.5490.3950.3950.3550.0380.4100.5881.0000.1780.095
재생시간(분)0.1370.2680.2680.1100.0000.1890.0590.1781.0000.109
재생시간(초)0.3160.3000.3000.0800.0080.2170.1240.0950.1091.000
2024-04-21T10:15:55.960063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전체영상여부프로그램명프로그램아이디
전체영상여부1.0000.3750.375
프로그램명0.3751.0001.000
프로그램아이디0.3751.0001.000
2024-04-21T10:15:56.064627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
콘텐츠아이디조회수프로그램회차방송시간(시)방송시간(분)재생시간(분)재생시간(초)프로그램아이디프로그램명전체영상여부
콘텐츠아이디1.0000.6430.299-0.0570.269-0.3560.1010.4970.4970.568
조회수0.6431.0000.1910.091-0.053-0.2110.0880.3140.3140.023
프로그램회차0.2990.1911.000-0.0740.244-0.1240.0210.3380.3380.244
방송시간(시)-0.0570.091-0.0741.0000.1160.0620.0100.2730.2730.283
방송시간(분)0.269-0.0530.2440.1161.0000.068-0.0140.1580.1580.272
재생시간(분)-0.356-0.211-0.1240.0620.0681.0000.0450.1110.1110.118
재생시간(초)0.1010.0880.0210.010-0.0140.0451.0000.1070.1070.061
프로그램아이디0.4970.3140.3380.2730.1580.1110.1071.0001.0000.375
프로그램명0.4970.3140.3380.2730.1580.1110.1071.0001.0000.375
전체영상여부0.5680.0230.2440.2830.2720.1180.0610.3750.3751.000

Missing values

2024-04-21T10:15:49.754971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:15:49.974510image/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.
2024-04-21T10:15:50.116669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

콘텐츠아이디제목프로그램아이디프로그램명카테고리아이디카테고리명전체영상여부섬네일주소링크주소팝업링크주소조회수프로그램회차방송일방송시간(시)방송시간(분)재생시간(분)재생시간(초)등록일
332660161윤 대통령 대국민담화···"국가애도기간 선포"PG1110894DKTV 특보100111특집Nhttps://www.ktv.go.kr/media/contents/image/2022/10/30/vfNNJ16la7.jpghttps://www.ktv.go.kr/content/view?content_id=660161https://www.ktv.go.kr/content/popup?content_id=6601614075232022-10-30170252022-10-30
988598030'n번방 사태' 수사 진행 상황과 디지털성범죄 대응 과제는?PG1110921D특별생방송100111특집Nhttps://www.ktv.go.kr/media/contents/image/2020/04/16/cxk0M0MyWk.jpghttps://www.ktv.go.kr/content/view?content_id=598030https://www.ktv.go.kr/content/popup?content_id=5980302027352020-04-1610015232020-04-16
6669279015도박, 영혼을 베팅한 사람들PG1110712D시사다큐100111특집Yhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=279015https://www.ktv.go.kr/content/popup?content_id=279015163102008-06-25<NA><NA>46302008-07-03
1375754013공동번영과 화합의 장! 2012여수세계박람회PG1110762DKTV 스페셜 (2006~2008년 제작)100111특집Yhttps://www.ktv.go.kr/media/old/program/content_xml/13/54013_1.3_image_1.jpghttps://www.ktv.go.kr/content/view?content_id=54013https://www.ktv.go.kr/content/popup?content_id=54013108752007-11-23<NA><NA>4442007-11-23
11610115941용산 국립중앙박물관 개관PG1110122D특집100111특집Nhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=115941https://www.ktv.go.kr/content/popup?content_id=115941239152005-10-24<NA><NA>13482005-10-24
11867110375건강과 과학이 보이는 한국전통음식PG1110122D특집100111특집Yhttps://www.ktv.go.kr/media/old/program/content_xml/75/110375_1.2_image_1.jpghttps://www.ktv.go.kr/content/view?content_id=110375https://www.ktv.go.kr/content/popup?content_id=110375629772006-01-11<NA><NA>47102006-01-11
1911595751힘내라! 대한민국 2부PG1110921D특별생방송100111특집Yhttps://www.ktv.go.kr/media/contents/image/2020/03/20/vuvJkYpO2J.jpghttps://www.ktv.go.kr/content/view?content_id=595751https://www.ktv.go.kr/content/popup?content_id=595751216602020-03-1913012022020-03-19
10455137650르포! 천년의 기록(19세기 기계의 시대) 10-9PG1110282DKTV특선다큐100111특집Nhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=137650https://www.ktv.go.kr/content/popup?content_id=13765021662004-03-12<NA><NA>44262004-03-12
9689159549토론문화가 중요한 이유PG1110208DKTV스페셜100111특집Nhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=159549https://www.ktv.go.kr/content/popup?content_id=159549242003-03-07<NA><NA>58412003-03-07
8784207053방청인 질문에 관한 답변PG1110122D특집100111특집Nhttps://www.ktv.go.kr/resources/images/common/img_replace_01.jpghttps://www.ktv.go.kr/content/view?content_id=207053https://www.ktv.go.kr/content/popup?content_id=20705352141999-03-08<NA><NA>001999-03-08
콘텐츠아이디제목프로그램아이디프로그램명카테고리아이디카테고리명전체영상여부섬네일주소링크주소팝업링크주소조회수프로그램회차방송일방송시간(시)방송시간(분)재생시간(분)재생시간(초)등록일
2148595267신천지 방역조치 방해 '엄중 경고'PG1110921D특별생방송100111특집Nhttps://www.ktv.go.kr/media/contents/image/2020/03/13/pkNoN4HAOn.jpghttps://www.ktv.go.kr/content/view?content_id=595267https://www.ktv.go.kr/content/popup?content_id=595267436432020-03-131002192020-03-13
5155458065경찰대학 제29기 졸업 임용식PG1110921D특별생방송100111특집Yhttps://www.ktv.go.kr/media/old/program/content_xml/65/458065_1.0_image_1.jpghttps://www.ktv.go.kr/content/view?content_id=458065https://www.ktv.go.kr/content/popup?content_id=458065535812013-03-14<NA><NA>35542013-03-14
5120459248부동산 대책 발표PG1110894DKTV 특보100111특집Yhttps://www.ktv.go.kr/media/old/program/content_xml/48/459248_1.2_image_1.jpghttps://www.ktv.go.kr/content/view?content_id=459248https://www.ktv.go.kr/content/popup?content_id=4592481001412013-04-01<NA><NA>15182013-04-01
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