Overview

Dataset statistics

Number of variables19
Number of observations24
Missing cells28
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory166.5 B

Variable types

Text7
Categorical8
DateTime1
Numeric3

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/093e7df1-6f80-4bba-afb7-783ddef8898e

Alerts

도달지수수집일자 has constant value ""Constant
영상호감도 has constant value ""Constant
영상불호도 has constant value ""Constant
영상호감도순위 has constant value ""Constant
영상불호도순위 has constant value ""Constant
영상인기지수 is highly overall correlated with 영상호감도표준점수 and 2 other fieldsHigh correlation
영상호감도표준점수 is highly overall correlated with 영상인기지수 and 1 other fieldsHigh correlation
영상인기지수표준점수 is highly overall correlated with 영상인기지수 and 2 other fieldsHigh correlation
영상인기지수순위 is highly overall correlated with 영상인기지수 and 1 other fieldsHigh correlation
도달지수영상설명 has 2 (8.3%) missing valuesMissing
도달지수채널설명 has 2 (8.3%) missing valuesMissing
영상인기지수 has 12 (50.0%) missing valuesMissing
영상인기지수표준점수 has 12 (50.0%) missing valuesMissing
도달지수영상ID has unique valuesUnique
도달지수영상제목 has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:57:57.381497
Analysis finished2023-12-10 13:58:01.982559
Duration4.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도달지수영상ID
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T22:58:02.224207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters264
Distinct characters64
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowf74qeZI8SxA
2nd rowf75kdI_BK3c
3rd rowf7mkVMB6JJw
4th rowf7_NjzQve0Q
5th rowf7uuFb0S7aw
ValueCountFrequency (%)
f74qezi8sxa 1
 
4.2%
f75kdi_bk3c 1
 
4.2%
fa7mtjsdf2u 1
 
4.2%
fa5ryyo8rau 1
 
4.2%
f9p_j-io6js 1
 
4.2%
f9nfokxyeri 1
 
4.2%
f9atwiv_mis 1
 
4.2%
f9ltq6lr1b8 1
 
4.2%
f93xab9tzts 1
 
4.2%
f91_7vchabk 1
 
4.2%
Other values (14) 14
58.3%
2023-12-10T22:58:02.893297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 25
 
9.5%
8 14
 
5.3%
A 9
 
3.4%
I 8
 
3.0%
7 8
 
3.0%
9 7
 
2.7%
s 7
 
2.7%
Q 7
 
2.7%
w 6
 
2.3%
c 5
 
1.9%
Other values (54) 168
63.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 111
42.0%
Uppercase Letter 96
36.4%
Decimal Number 51
19.3%
Connector Punctuation 5
 
1.9%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 25
22.5%
s 7
 
6.3%
w 6
 
5.4%
c 5
 
4.5%
o 5
 
4.5%
a 5
 
4.5%
k 5
 
4.5%
q 4
 
3.6%
e 4
 
3.6%
u 4
 
3.6%
Other values (16) 41
36.9%
Uppercase Letter
ValueCountFrequency (%)
A 9
 
9.4%
I 8
 
8.3%
Q 7
 
7.3%
T 5
 
5.2%
U 5
 
5.2%
V 5
 
5.2%
F 5
 
5.2%
B 5
 
5.2%
R 4
 
4.2%
Y 4
 
4.2%
Other values (16) 39
40.6%
Decimal Number
ValueCountFrequency (%)
8 14
27.5%
7 8
15.7%
9 7
13.7%
4 5
 
9.8%
0 4
 
7.8%
6 4
 
7.8%
3 3
 
5.9%
1 3
 
5.9%
5 2
 
3.9%
2 1
 
2.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 207
78.4%
Common 57
 
21.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 25
 
12.1%
A 9
 
4.3%
I 8
 
3.9%
s 7
 
3.4%
Q 7
 
3.4%
w 6
 
2.9%
c 5
 
2.4%
T 5
 
2.4%
o 5
 
2.4%
U 5
 
2.4%
Other values (42) 125
60.4%
Common
ValueCountFrequency (%)
8 14
24.6%
7 8
14.0%
9 7
12.3%
_ 5
 
8.8%
4 5
 
8.8%
0 4
 
7.0%
6 4
 
7.0%
3 3
 
5.3%
1 3
 
5.3%
5 2
 
3.5%
Other values (2) 2
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 25
 
9.5%
8 14
 
5.3%
A 9
 
3.4%
I 8
 
3.0%
7 8
 
3.0%
9 7
 
2.7%
s 7
 
2.7%
Q 7
 
2.7%
w 6
 
2.3%
c 5
 
1.9%
Other values (54) 168
63.6%

도달지수영상범주
Categorical

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
게임
8 
엔터테인먼트
8 
인물/블로그
3 
여행/이벤트
2 
교육
1 
Other values (2)
2 

Length

Max length8
Median length6
Mean length4.5416667
Min length2

Unique

Unique3 ?
Unique (%)12.5%

Sample

1st row게임
2nd row교육
3rd row여행/이벤트
4th row게임
5th row게임

Common Values

ValueCountFrequency (%)
게임 8
33.3%
엔터테인먼트 8
33.3%
인물/블로그 3
 
12.5%
여행/이벤트 2
 
8.3%
교육 1
 
4.2%
뉴스/정치 1
 
4.2%
영화/애니메이션 1
 
4.2%

Length

2023-12-10T22:58:03.133467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:03.333467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임 8
33.3%
엔터테인먼트 8
33.3%
인물/블로그 3
 
12.5%
여행/이벤트 2
 
8.3%
교육 1
 
4.2%
뉴스/정치 1
 
4.2%
영화/애니메이션 1
 
4.2%

도달지수영상설명
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Memory size324.0 B
2023-12-10T22:58:03.655983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1024
Median length114.5
Mean length169.18182
Min length17

Characters and Unicode

Total characters3722
Distinct characters418
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row자동차 찌그러짐이나 흠집 등을 복원해주겠다며 길거리에서 불법 영업을 해온 이들이 서울시 특별사법경찰에 적발됐습니다. 정화 시설을 갖추지 않고 작업이 이뤄지다보니; 유해 화학 물질은 아무런 여과 없이 배출됐습니다.
2nd rowcuratorsim의 신석기공부 - 20061103 숭실대학교박물관 서울 흑석동에 위치한 숭실대학교의 메인박물관이죠. 선사시대 유물부터 기독교유물까지 다양한 유물들이 전시되어 있습니다. 2006년 사진이니 지금은 많이 변했겠죠? 당시만해도 제가 신석기에 미쳐있을 때니 신석기토기를 주로 찍었었네요 ㅋ 암사동의 빗살무늬토기; 미사리의 민무늬토기
3rd row유튜브 채널 '감스트' 검색! 구독 누르는거 잊지마세요! GAMST YouTube channel (GAMTUBE) subscribe please 아프리카티비 방송국 '감스트' 검색! 추천;즐찾! GAMST afreecaTV : afreeca.comdevil0108 페이스북 페이지 '감스트' 검색! 좋아요 클릭! GAMST FaceBook : facebook.comfifagamst
4th row재미있게 보셧나용 김재원 방송 https:www.twitch.tvjaewon4915 김재원 메일 wodnjs2601@naver.com 구독 눌러주시고 알람해주시면 더 빠르게 제영상을 보실수있당가요
5th row4월 20일 드디어 정원이 본색을 드러내다.. 순천만정원!
ValueCountFrequency (%)
29
 
5.7%
구독 5
 
1.0%
방송 5
 
1.0%
검색 4
 
0.8%
유튜브 4
 
0.8%
좋아요 4
 
0.8%
그 3
 
0.6%
music 3
 
0.6%
bank 3
 
0.6%
감스트 3
 
0.6%
Other values (412) 450
87.7%
2023-12-10T22:58:04.525090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
543
 
14.6%
t 132
 
3.5%
e 102
 
2.7%
o 99
 
2.7%
a 97
 
2.6%
s 81
 
2.2%
w 80
 
2.1%
. 79
 
2.1%
i 75
 
2.0%
c 70
 
1.9%
Other values (408) 2364
63.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1320
35.5%
Other Letter 1137
30.5%
Space Separator 543
14.6%
Uppercase Letter 303
 
8.1%
Other Punctuation 210
 
5.6%
Decimal Number 139
 
3.7%
Math Symbol 20
 
0.5%
Dash Punctuation 12
 
0.3%
Open Punctuation 12
 
0.3%
Close Punctuation 12
 
0.3%
Other values (3) 14
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 30
 
2.6%
기 21
 
1.8%
다 21
 
1.8%
지 19
 
1.7%
리 18
 
1.6%
의 17
 
1.5%
시 17
 
1.5%
사 16
 
1.4%
을 15
 
1.3%
아 14
 
1.2%
Other values (318) 949
83.5%
Lowercase Letter
ValueCountFrequency (%)
t 132
 
10.0%
e 102
 
7.7%
o 99
 
7.5%
a 97
 
7.3%
s 81
 
6.1%
w 80
 
6.1%
i 75
 
5.7%
c 70
 
5.3%
n 68
 
5.2%
l 61
 
4.6%
Other values (16) 455
34.5%
Uppercase Letter
ValueCountFrequency (%)
L 25
 
8.3%
M 24
 
7.9%
V 21
 
6.9%
T 20
 
6.6%
R 20
 
6.6%
Y 17
 
5.6%
S 15
 
5.0%
P 14
 
4.6%
B 14
 
4.6%
G 12
 
4.0%
Other values (16) 121
39.9%
Other Punctuation
ValueCountFrequency (%)
. 79
37.6%
: 48
22.9%
! 22
 
10.5%
' 14
 
6.7%
? 14
 
6.7%
# 13
 
6.2%
; 7
 
3.3%
* 5
 
2.4%
@ 4
 
1.9%
& 2
 
1.0%
Other values (2) 2
 
1.0%
Decimal Number
ValueCountFrequency (%)
5 22
15.8%
0 20
14.4%
8 20
14.4%
1 18
12.9%
2 15
10.8%
7 13
9.4%
3 10
7.2%
6 9
6.5%
9 6
 
4.3%
4 6
 
4.3%
Math Symbol
ValueCountFrequency (%)
= 11
55.0%
~ 6
30.0%
＞ 1
 
5.0%
＜ 1
 
5.0%
+ 1
 
5.0%
Other Symbol
ValueCountFrequency (%)
☞ 2
33.3%
△ 2
33.3%
▶ 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 8
66.7%
[ 4
33.3%
Close Punctuation
ValueCountFrequency (%)
) 8
66.7%
] 4
33.3%
Space Separator
ValueCountFrequency (%)
543
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1623
43.6%
Hangul 1135
30.5%
Common 962
25.8%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 30
 
2.6%
기 21
 
1.9%
다 21
 
1.9%
지 19
 
1.7%
리 18
 
1.6%
의 17
 
1.5%
시 17
 
1.5%
사 16
 
1.4%
을 15
 
1.3%
아 14
 
1.2%
Other values (316) 947
83.4%
Latin
ValueCountFrequency (%)
t 132
 
8.1%
e 102
 
6.3%
o 99
 
6.1%
a 97
 
6.0%
s 81
 
5.0%
w 80
 
4.9%
i 75
 
4.6%
c 70
 
4.3%
n 68
 
4.2%
l 61
 
3.8%
Other values (42) 758
46.7%
Common
ValueCountFrequency (%)
543
56.4%
. 79
 
8.2%
: 48
 
5.0%
5 22
 
2.3%
! 22
 
2.3%
0 20
 
2.1%
8 20
 
2.1%
1 18
 
1.9%
2 15
 
1.6%
' 14
 
1.5%
Other values (28) 161
 
16.7%
Han
ValueCountFrequency (%)
犬 1
50.0%
母 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2575
69.2%
Hangul 1134
30.5%
Geometric Shapes 4
 
0.1%
None 4
 
0.1%
Misc Symbols 2
 
0.1%
CJK 2
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
543
21.1%
t 132
 
5.1%
e 102
 
4.0%
o 99
 
3.8%
a 97
 
3.8%
s 81
 
3.1%
w 80
 
3.1%
. 79
 
3.1%
i 75
 
2.9%
c 70
 
2.7%
Other values (73) 1217
47.3%
Hangul
ValueCountFrequency (%)
이 30
 
2.6%
기 21
 
1.9%
다 21
 
1.9%
지 19
 
1.7%
리 18
 
1.6%
의 17
 
1.5%
시 17
 
1.5%
사 16
 
1.4%
을 15
 
1.3%
아 14
 
1.2%
Other values (315) 946
83.4%
Misc Symbols
ValueCountFrequency (%)
☞ 2
100.0%
Geometric Shapes
ValueCountFrequency (%)
△ 2
50.0%
▶ 2
50.0%
None
ValueCountFrequency (%)
＞ 1
25.0%
＜ 1
25.0%
· 1
25.0%
： 1
25.0%
CJK
ValueCountFrequency (%)
犬 1
50.0%
母 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅋ 1
100.0%

도달지수영상길이
Text

Distinct22
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T22:58:05.028514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.7916667
Min length4

Characters and Unicode

Total characters163
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)83.3%

Sample

1st rowPT5M17S
2nd rowPT1M48S
3rd rowPT3M57S
4th rowPT23M52S
5th rowPT4M9S
ValueCountFrequency (%)
pt3m57s 2
 
8.3%
pt2m30s 2
 
8.3%
pt5m17s 1
 
4.2%
pt26m8s 1
 
4.2%
pt7m26s 1
 
4.2%
pt1m39s 1
 
4.2%
pt1m53s 1
 
4.2%
pt14m10s 1
 
4.2%
pt13m53s 1
 
4.2%
pt1m8s 1
 
4.2%
Other values (12) 12
50.0%
2023-12-10T22:58:05.726930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
P 24
14.7%
T 24
14.7%
M 23
14.1%
S 22
13.5%
3 14
8.6%
1 12
7.4%
5 10
6.1%
2 8
 
4.9%
7 7
 
4.3%
0 5
 
3.1%
Other values (4) 14
8.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 93
57.1%
Decimal Number 70
42.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 14
20.0%
1 12
17.1%
5 10
14.3%
2 8
11.4%
7 7
10.0%
0 5
 
7.1%
8 5
 
7.1%
4 4
 
5.7%
9 3
 
4.3%
6 2
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
P 24
25.8%
T 24
25.8%
M 23
24.7%
S 22
23.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 93
57.1%
Common 70
42.9%

Most frequent character per script

Common
ValueCountFrequency (%)
3 14
20.0%
1 12
17.1%
5 10
14.3%
2 8
11.4%
7 7
10.0%
0 5
 
7.1%
8 5
 
7.1%
4 4
 
5.7%
9 3
 
4.3%
6 2
 
2.9%
Latin
ValueCountFrequency (%)
P 24
25.8%
T 24
25.8%
M 23
24.7%
S 22
23.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
P 24
14.7%
T 24
14.7%
M 23
14.1%
S 22
13.5%
3 14
8.6%
1 12
7.4%
5 10
6.1%
2 8
 
4.9%
7 7
 
4.3%
0 5
 
3.1%
Other values (4) 14
8.6%

도달지수영상제목
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T22:58:06.158479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length44
Mean length39.625
Min length20

Characters and Unicode

Total characters951
Distinct characters278
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row[연두의 IRL]블소에 현질이 하고싶은 연두
2nd row[tbsTV]‘차 외형복원’…도로 위 불법영업 ‘덜미’
3rd rowcuratorsim의 신석기공부 - 숭실대박물관소장 암사동미사리선사유물
4th row감스트 : 감야망의 언차티드2 #04 (UNCHARTED2 l Playstation4)
5th row(김재원)한조로 캐리하는영상 여기있습니다^^
ValueCountFrequency (%)
4
 
2.3%
l 2
 
1.2%
트라하 2
 
1.2%
cover 2
 
1.2%
정례브리핑 2
 
1.2%
연두의 1
 
0.6%
비법은 1
 
0.6%
독안개 1
 
0.6%
리켄(traha 1
 
0.6%
＜파프리카돼지고기볶음＞ 1
 
0.6%
Other values (155) 155
90.1%
2023-12-10T22:58:06.809608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
16.2%
a 16
 
1.7%
0 16
 
1.7%
n 15
 
1.6%
o 14
 
1.5%
( 14
 
1.5%
) 14
 
1.5%
2 14
 
1.5%
e 13
 
1.4%
i 13
 
1.4%
Other values (268) 668
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
41.6%
Lowercase Letter 163
17.1%
Space Separator 154
 
16.2%
Uppercase Letter 97
 
10.2%
Decimal Number 67
 
7.0%
Close Punctuation 23
 
2.4%
Open Punctuation 22
 
2.3%
Other Punctuation 12
 
1.3%
Dash Punctuation 5
 
0.5%
Modifier Symbol 4
 
0.4%
Other values (4) 8
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 10
 
2.5%
이 10
 
2.5%
의 8
 
2.0%
원 7
 
1.8%
로 6
 
1.5%
모 6
 
1.5%
기 6
 
1.5%
마 5
 
1.3%
포 5
 
1.3%
스 5
 
1.3%
Other values (193) 328
82.8%
Lowercase Letter
ValueCountFrequency (%)
a 16
 
9.8%
n 15
 
9.2%
o 14
 
8.6%
e 13
 
8.0%
i 13
 
8.0%
r 12
 
7.4%
t 11
 
6.7%
s 11
 
6.7%
c 8
 
4.9%
u 7
 
4.3%
Other values (13) 43
26.4%
Uppercase Letter
ValueCountFrequency (%)
T 9
 
9.3%
K 8
 
8.2%
C 7
 
7.2%
R 7
 
7.2%
B 7
 
7.2%
A 6
 
6.2%
E 6
 
6.2%
S 6
 
6.2%
H 5
 
5.2%
N 5
 
5.2%
Other values (11) 31
32.0%
Decimal Number
ValueCountFrequency (%)
0 16
23.9%
2 14
20.9%
1 13
19.4%
3 7
10.4%
4 5
 
7.5%
6 4
 
6.0%
9 3
 
4.5%
5 2
 
3.0%
8 2
 
3.0%
7 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
? 3
25.0%
# 2
16.7%
: 2
16.7%
. 2
16.7%
… 1
 
8.3%
@ 1
 
8.3%
! 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 14
63.6%
[ 7
31.8%
「 1
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 14
60.9%
] 8
34.8%
」 1
 
4.3%
Math Symbol
ValueCountFrequency (%)
＞ 1
50.0%
＜ 1
50.0%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 393
41.3%
Common 295
31.0%
Latin 260
27.3%
Han 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 10
 
2.5%
이 10
 
2.5%
의 8
 
2.0%
원 7
 
1.8%
로 6
 
1.5%
모 6
 
1.5%
기 6
 
1.5%
마 5
 
1.3%
포 5
 
1.3%
스 5
 
1.3%
Other values (190) 325
82.7%
Latin
ValueCountFrequency (%)
a 16
 
6.2%
n 15
 
5.8%
o 14
 
5.4%
e 13
 
5.0%
i 13
 
5.0%
r 12
 
4.6%
t 11
 
4.2%
s 11
 
4.2%
T 9
 
3.5%
c 8
 
3.1%
Other values (34) 138
53.1%
Common
ValueCountFrequency (%)
154
52.2%
0 16
 
5.4%
( 14
 
4.7%
) 14
 
4.7%
2 14
 
4.7%
1 13
 
4.4%
] 8
 
2.7%
3 7
 
2.4%
[ 7
 
2.4%
- 5
 
1.7%
Other values (21) 43
 
14.6%
Han
ValueCountFrequency (%)
犬 1
33.3%
母 1
33.3%
作 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 546
57.4%
Hangul 389
40.9%
Punctuation 5
 
0.5%
Compat Jamo 4
 
0.4%
None 4
 
0.4%
CJK 3
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
28.2%
a 16
 
2.9%
0 16
 
2.9%
n 15
 
2.7%
o 14
 
2.6%
( 14
 
2.6%
) 14
 
2.6%
2 14
 
2.6%
e 13
 
2.4%
i 13
 
2.4%
Other values (58) 263
48.2%
Hangul
ValueCountFrequency (%)
리 10
 
2.6%
이 10
 
2.6%
의 8
 
2.1%
원 7
 
1.8%
로 6
 
1.5%
모 6
 
1.5%
기 6
 
1.5%
마 5
 
1.3%
포 5
 
1.3%
스 5
 
1.3%
Other values (189) 321
82.5%
Compat Jamo
ValueCountFrequency (%)
ㅋ 4
100.0%
Punctuation
ValueCountFrequency (%)
’ 2
40.0%
‘ 2
40.0%
… 1
20.0%
CJK
ValueCountFrequency (%)
犬 1
33.3%
母 1
33.3%
作 1
33.3%
None
ValueCountFrequency (%)
」 1
25.0%
「 1
25.0%
＞ 1
25.0%
＜ 1
25.0%

도달지수채널ID
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T22:58:07.198205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters576
Distinct characters64
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

Unique22 ?
Unique (%)91.7%

Sample

1st rowUCFRDmLQJItqvkfFFfuTGGVg
2nd rowUC5HSw5OY2vfVFSihpiB-AVQ
3rd rowUC9iYGheHksAaocXVcPtcdWg
4th rowUCbFzvzDu17eDZ3RIeaLRswQ
5th rowUCta_NRwnsUaew0t3VNxBNyg
ValueCountFrequency (%)
ucyylilojyqkafklvjzx5img 2
 
8.3%
ucfrdmlqjitqvkffffutggvg 1
 
4.2%
uc1cblwiprgnrxtcodgrxbzw 1
 
4.2%
ucvbedytbi0a3u3bf3s0ehqw 1
 
4.2%
ucv7hx-7ctqth4cxxt1nfrig 1
 
4.2%
ucxgc3wnnworzouxp02uhxea 1
 
4.2%
ucfctzjtujhe18k8ixwmxtyq 1
 
4.2%
ucwrfj9gc3meixu8fqkjdgxa 1
 
4.2%
ucnv5tunovgyt-ncj0s0tptw 1
 
4.2%
uceivpjjk9-cdj8-gw4-7jrg 1
 
4.2%
Other values (13) 13
54.2%
2023-12-10T22:58:07.776534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
U 30
 
5.2%
C 28
 
4.9%
w 20
 
3.5%
g 16
 
2.8%
n 15
 
2.6%
t 15
 
2.6%
R 14
 
2.4%
y 13
 
2.3%
c 13
 
2.3%
i 13
 
2.3%
Other values (54) 399
69.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 261
45.3%
Lowercase Letter 234
40.6%
Decimal Number 71
 
12.3%
Dash Punctuation 8
 
1.4%
Connector Punctuation 2
 
0.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U 30
 
11.5%
C 28
 
10.7%
R 14
 
5.4%
X 13
 
5.0%
V 12
 
4.6%
A 10
 
3.8%
T 10
 
3.8%
F 10
 
3.8%
I 9
 
3.4%
O 9
 
3.4%
Other values (16) 116
44.4%
Lowercase Letter
ValueCountFrequency (%)
w 20
 
8.5%
g 16
 
6.8%
n 15
 
6.4%
t 15
 
6.4%
y 13
 
5.6%
c 13
 
5.6%
i 13
 
5.6%
e 10
 
4.3%
m 10
 
4.3%
u 9
 
3.8%
Other values (16) 100
42.7%
Decimal Number
ValueCountFrequency (%)
3 12
16.9%
8 10
14.1%
0 9
12.7%
1 9
12.7%
9 7
9.9%
2 6
8.5%
5 6
8.5%
7 5
7.0%
6 4
 
5.6%
4 3
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 495
85.9%
Common 81
 
14.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
U 30
 
6.1%
C 28
 
5.7%
w 20
 
4.0%
g 16
 
3.2%
n 15
 
3.0%
t 15
 
3.0%
R 14
 
2.8%
y 13
 
2.6%
c 13
 
2.6%
i 13
 
2.6%
Other values (42) 318
64.2%
Common
ValueCountFrequency (%)
3 12
14.8%
8 10
12.3%
0 9
11.1%
1 9
11.1%
- 8
9.9%
9 7
8.6%
2 6
7.4%
5 6
7.4%
7 5
6.2%
6 4
 
4.9%
Other values (2) 5
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 576
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U 30
 
5.2%
C 28
 
4.9%
w 20
 
3.5%
g 16
 
2.8%
n 15
 
2.6%
t 15
 
2.6%
R 14
 
2.4%
y 13
 
2.3%
c 13
 
2.3%
i 13
 
2.3%
Other values (54) 399
69.3%

도달지수채널명
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-10T22:58:08.163332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length18.5
Mean length11.166667
Min length2

Characters and Unicode

Total characters268
Distinct characters109
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row연두의 일상채널
2nd rowTBS 시민의방송
3rd rowA&A문화연구소
4th row감스트GAMST
5th row김재원의 즐거운 세상
ValueCountFrequency (%)
mbn 2
 
4.3%
entertainment 2
 
4.3%
일상채널 1
 
2.2%
ebs육아학교 1
 
2.2%
문호준 1
 
2.2%
제이 1
 
2.2%
외교부 1
 
2.2%
ministry 1
 
2.2%
of 1
 
2.2%
foreign 1
 
2.2%
Other values (34) 34
73.9%
2023-12-10T22:58:08.785769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
8.2%
n 15
 
5.6%
e 13
 
4.9%
i 11
 
4.1%
t 10
 
3.7%
B 9
 
3.4%
o 8
 
3.0%
r 8
 
3.0%
a 7
 
2.6%
M 6
 
2.2%
Other values (99) 159
59.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 105
39.2%
Other Letter 76
28.4%
Uppercase Letter 56
20.9%
Space Separator 22
 
8.2%
Decimal Number 4
 
1.5%
Other Punctuation 3
 
1.1%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 3
 
3.9%
시 3
 
3.9%
이 2
 
2.6%
상 2
 
2.6%
채 2
 
2.6%
널 2
 
2.6%
교 2
 
2.6%
튜 2
 
2.6%
구 2
 
2.6%
연 2
 
2.6%
Other values (52) 54
71.1%
Lowercase Letter
ValueCountFrequency (%)
n 15
14.3%
e 13
12.4%
i 11
10.5%
t 10
9.5%
o 8
 
7.6%
r 8
 
7.6%
a 7
 
6.7%
m 4
 
3.8%
c 4
 
3.8%
l 4
 
3.8%
Other values (9) 21
20.0%
Uppercase Letter
ValueCountFrequency (%)
B 9
16.1%
M 6
10.7%
S 6
10.7%
A 5
8.9%
E 5
8.9%
T 4
 
7.1%
L 3
 
5.4%
D 2
 
3.6%
O 2
 
3.6%
K 2
 
3.6%
Other values (9) 12
21.4%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
2 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
; 1
33.3%
. 1
33.3%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 161
60.1%
Hangul 76
28.4%
Common 31
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 3
 
3.9%
시 3
 
3.9%
이 2
 
2.6%
상 2
 
2.6%
채 2
 
2.6%
널 2
 
2.6%
교 2
 
2.6%
튜 2
 
2.6%
구 2
 
2.6%
연 2
 
2.6%
Other values (52) 54
71.1%
Latin
ValueCountFrequency (%)
n 15
 
9.3%
e 13
 
8.1%
i 11
 
6.8%
t 10
 
6.2%
B 9
 
5.6%
o 8
 
5.0%
r 8
 
5.0%
a 7
 
4.3%
M 6
 
3.7%
S 6
 
3.7%
Other values (28) 68
42.2%
Common
ValueCountFrequency (%)
22
71.0%
6 2
 
6.5%
; 1
 
3.2%
2 1
 
3.2%
1 1
 
3.2%
. 1
 
3.2%
) 1
 
3.2%
( 1
 
3.2%
& 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
71.6%
Hangul 76
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
 
11.5%
n 15
 
7.8%
e 13
 
6.8%
i 11
 
5.7%
t 10
 
5.2%
B 9
 
4.7%
o 8
 
4.2%
r 8
 
4.2%
a 7
 
3.6%
M 6
 
3.1%
Other values (37) 83
43.2%
Hangul
ValueCountFrequency (%)
의 3
 
3.9%
시 3
 
3.9%
이 2
 
2.6%
상 2
 
2.6%
채 2
 
2.6%
널 2
 
2.6%
교 2
 
2.6%
튜 2
 
2.6%
구 2
 
2.6%
연 2
 
2.6%
Other values (52) 54
71.1%

도달지수수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2021-03-01
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-03-01
2nd row2021-03-01
3rd row2021-03-01
4th row2021-03-01
5th row2021-03-01

Common Values

ValueCountFrequency (%)
2021-03-01 24
100.0%

Length

2023-12-10T22:58:09.027296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:09.201972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-01 24
100.0%

도달지수채널설명
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Memory size324.0 B
2023-12-10T22:58:09.557594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length656
Median length181.5
Mean length166.27273
Min length21

Characters and Unicode

Total characters3658
Distinct characters342
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st rowPC 게임부터 스팀게임; 고전게임; 콘솔게임 기타 등등 게임 실력은 뛰어나지 않지만 다양한 게임방송으로 여러분들을 즐겁게 해드리겠습니다. 게임 실황을 보고 싶으시면 트위치 방송국으로 https:www.twitch.tvrudbeckia7 으로 놀러오세요. 유튜브 영상은 출처를 밝혀주시고 공유하기로 퍼가셔도 됩니다! 많이 퍼가주시고 좋아요! 부탁드립니다!
2nd row시민에 의한; 시민을 위한! 시민의 품격을 높여 주는 [TBS 시민의방송] ▣ 제보 및 의견 ▶TBS 안드로이드 앱 : https:play.google.comstoreappsdetails?id=com.jnhstudio.tbs_AndroidApp ▶TBS 애플 앱 : https:apps.apple.comkrapptbsid391062560 ▶홈페이지 : http:tbs.seoul.krtvindex.do ▶페이스북 : https:www.facebook.commylovetbs ▶트위터 : https:twitter.comseoultbstv ▶인스타그램 : https:www.instagram.comseoultbstv ▶카카오스토리채널 : https:ch.kakao.comchannels@seoultbs ▶네이버TV : https:tv.naver.comtbstv ▶카카오TV : https:tv.kakao.comchannel2658088livelink6840017?metaObjectType=Channe ▣ 방송 안내 ▶김어준의 뉴스공장 (월~금) 오전 7시6분 ▶정준희의 해시태그 목요일 밤 10시 30분 ▶더 룸 (월~금) 밤 9시30분 ▶민생연구소2 (화) 밤 10시30분 ▣ 채널 번호 kt 올레 tv: 214번 B tv: 167번 U+ tv: 245번
3rd row우리의 문화유산을 함께 아끼고 누리기위해 운영하는 채널입니다. 좋아요와 구독눌러주신 분들께 영광있으라~~^^
4th row재미와 감동을 동시에 느낄 수 있는 감스트의 공식 유튜브 채널 (감튜브) 입니다! 감스트와 같이 찢으실 분들은 '구독' 눌러주시고 많이 시청하러 오세요 :-D To have fun and be touched at the same time The official YouTube channel of GAMST (GAMTUBE) *_* If you want to have fun with GAMST Please visit and subscribe to the channel for more videos
5th row순천시의 정보를 시민과 함께 나누는 순천시 공식 유튜브 입니다~♥ 문의 및 제보 순천시청 홍보실 미디어홍보팀 idolws@korea.kr 061-749-5732
ValueCountFrequency (%)
13
 
2.2%
유튜브 11
 
1.9%
mbn 10
 
1.7%
the 7
 
1.2%
to 7
 
1.2%
channel 6
 
1.0%
and 6
 
1.0%
공식 6
 
1.0%
tv 5
 
0.9%
a 5
 
0.9%
Other values (396) 503
86.9%
2023-12-10T22:58:10.147117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
609
 
16.6%
t 147
 
4.0%
e 145
 
4.0%
o 111
 
3.0%
a 105
 
2.9%
n 104
 
2.8%
i 73
 
2.0%
s 72
 
2.0%
r 67
 
1.8%
. 64
 
1.7%
Other values (332) 2161
59.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1334
36.5%
Other Letter 1110
30.3%
Space Separator 609
16.6%
Uppercase Letter 206
 
5.6%
Other Punctuation 195
 
5.3%
Decimal Number 129
 
3.5%
Other Symbol 22
 
0.6%
Close Punctuation 13
 
0.4%
Open Punctuation 9
 
0.2%
Math Symbol 9
 
0.2%
Other values (5) 22
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 34
 
3.1%
다 31
 
2.8%
니 24
 
2.2%
의 23
 
2.1%
이 20
 
1.8%
유 18
 
1.6%
하 17
 
1.5%
는 16
 
1.4%
브 16
 
1.4%
튜 15
 
1.4%
Other values (249) 896
80.7%
Lowercase Letter
ValueCountFrequency (%)
t 147
 
11.0%
e 145
 
10.9%
o 111
 
8.3%
a 105
 
7.9%
n 104
 
7.8%
i 73
 
5.5%
s 72
 
5.4%
r 67
 
5.0%
c 60
 
4.5%
m 53
 
4.0%
Other values (15) 397
29.8%
Uppercase Letter
ValueCountFrequency (%)
B 26
12.6%
T 24
11.7%
N 18
 
8.7%
M 17
 
8.3%
E 16
 
7.8%
V 14
 
6.8%
A 12
 
5.8%
S 12
 
5.8%
C 11
 
5.3%
D 8
 
3.9%
Other values (12) 48
23.3%
Other Punctuation
ValueCountFrequency (%)
. 64
32.8%
: 41
21.0%
; 34
17.4%
' 26
13.3%
! 15
 
7.7%
& 5
 
2.6%
@ 5
 
2.6%
? 2
 
1.0%
* 2
 
1.0%
% 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 29
22.5%
1 23
17.8%
2 17
13.2%
6 13
10.1%
5 12
9.3%
7 8
 
6.2%
3 8
 
6.2%
4 7
 
5.4%
8 6
 
4.7%
9 6
 
4.7%
Other Symbol
ValueCountFrequency (%)
▶ 16
72.7%
♥ 3
 
13.6%
▣ 3
 
13.6%
Math Symbol
ValueCountFrequency (%)
~ 6
66.7%
= 2
 
22.2%
+ 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 12
92.3%
] 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 8
88.9%
[ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
609
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 6
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1540
42.1%
Hangul 1108
30.3%
Common 1008
27.6%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 34
 
3.1%
다 31
 
2.8%
니 24
 
2.2%
의 23
 
2.1%
이 20
 
1.8%
유 18
 
1.6%
하 17
 
1.5%
는 16
 
1.4%
브 16
 
1.4%
튜 15
 
1.4%
Other values (247) 894
80.7%
Latin
ValueCountFrequency (%)
t 147
 
9.5%
e 145
 
9.4%
o 111
 
7.2%
a 105
 
6.8%
n 104
 
6.8%
i 73
 
4.7%
s 72
 
4.7%
r 67
 
4.4%
c 60
 
3.9%
m 53
 
3.4%
Other values (37) 603
39.2%
Common
ValueCountFrequency (%)
609
60.4%
. 64
 
6.3%
: 41
 
4.1%
; 34
 
3.4%
0 29
 
2.9%
' 26
 
2.6%
1 23
 
2.3%
2 17
 
1.7%
▶ 16
 
1.6%
! 15
 
1.5%
Other values (26) 134
 
13.3%
Han
ValueCountFrequency (%)
區 1
50.0%
市 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2518
68.8%
Hangul 1108
30.3%
Geometric Shapes 19
 
0.5%
Punctuation 8
 
0.2%
Misc Symbols 3
 
0.1%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
609
24.2%
t 147
 
5.8%
e 145
 
5.8%
o 111
 
4.4%
a 105
 
4.2%
n 104
 
4.1%
i 73
 
2.9%
s 72
 
2.9%
r 67
 
2.7%
. 64
 
2.5%
Other values (68) 1021
40.5%
Hangul
ValueCountFrequency (%)
시 34
 
3.1%
다 31
 
2.8%
니 24
 
2.2%
의 23
 
2.1%
이 20
 
1.8%
유 18
 
1.6%
하 17
 
1.5%
는 16
 
1.4%
브 16
 
1.4%
튜 15
 
1.4%
Other values (247) 894
80.7%
Geometric Shapes
ValueCountFrequency (%)
▶ 16
84.2%
▣ 3
 
15.8%
Punctuation
ValueCountFrequency (%)
’ 4
50.0%
‘ 4
50.0%
Misc Symbols
ValueCountFrequency (%)
♥ 3
100.0%
CJK
ValueCountFrequency (%)
區 1
50.0%
市 1
50.0%

도달지수채널생성일자
Date

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2007-01-06 00:00:00
Maximum2017-12-20 00:00:00
2023-12-10T22:58:10.401859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:58:10.554927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

영상호감도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2023-12-10T22:58:10.754200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:10.893882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

영상불호도
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2023-12-10T22:58:11.032790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:11.156780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

영상인기지수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)91.7%
Missing12
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean17.79
Minimum1.6
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-10T22:58:11.346227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6
5-th percentile2.92
Q16.625
median11.22
Q329.86
95-th percentile42.016
Maximum48
Range46.4
Interquartile range (IQR)23.235

Descriptive statistics

Standard deviation15.383969
Coefficient of variation (CV)0.86475372
Kurtosis-0.59389573
Mean17.79
Median Absolute Deviation (MAD)7
Skewness0.86131531
Sum213.48
Variance236.66649
MonotonicityNot monotonic
2023-12-10T22:58:11.516586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7.0 2
 
8.3%
12.68 1
 
4.2%
1.6 1
 
4.2%
37.12 1
 
4.2%
48.0 1
 
4.2%
9.76 1
 
4.2%
18.0 1
 
4.2%
28.31 1
 
4.2%
4.0 1
 
4.2%
34.51 1
 
4.2%
(Missing) 12
50.0%
ValueCountFrequency (%)
1.6 1
4.2%
4.0 1
4.2%
5.5 1
4.2%
7.0 2
8.3%
9.76 1
4.2%
12.68 1
4.2%
18.0 1
4.2%
28.31 1
4.2%
34.51 1
4.2%
37.12 1
4.2%
ValueCountFrequency (%)
48.0 1
4.2%
37.12 1
4.2%
34.51 1
4.2%
28.31 1
4.2%
18.0 1
4.2%
12.68 1
4.2%
9.76 1
4.2%
7.0 2
8.3%
5.5 1
4.2%
4.0 1
4.2%

영상호감도순위
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2023-12-10T22:58:11.776843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:11.932767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

영상불호도순위
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
0
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 24
100.0%

Length

2023-12-10T22:58:12.091529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:12.241069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 24
100.0%

영상인기지수순위
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
12 
0
8 
1
4 

Length

Max length4
Median length2.5
Mean length2.5
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 12
50.0%
0 8
33.3%
1 4
 
16.7%

Length

2023-12-10T22:58:12.419566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:12.595332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
50.0%
0 8
33.3%
1 4
 
16.7%

영상호감도표준점수
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.10291667
Minimum-0.3
Maximum1.43
Zeros0
Zeros (%)0.0%
Negative20
Negative (%)83.3%
Memory size348.0 B
2023-12-10T22:58:12.743299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.3
5-th percentile-0.3
Q1-0.3
median-0.22
Q3-0.105
95-th percentile0.291
Maximum1.43
Range1.73
Interquartile range (IQR)0.195

Descriptive statistics

Standard deviation0.36494763
Coefficient of variation (CV)-3.5460499
Kurtosis14.314853
Mean-0.10291667
Median Absolute Deviation (MAD)0.08
Skewness3.5466315
Sum-2.47
Variance0.13318678
MonotonicityNot monotonic
2023-12-10T22:58:12.939521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-0.3 8
33.3%
-0.22 3
 
12.5%
-0.11 2
 
8.3%
-0.28 1
 
4.2%
-0.17 1
 
4.2%
0.3 1
 
4.2%
1.43 1
 
4.2%
-0.24 1
 
4.2%
0.24 1
 
4.2%
-0.09 1
 
4.2%
Other values (4) 4
16.7%
ValueCountFrequency (%)
-0.3 8
33.3%
-0.28 1
 
4.2%
-0.24 1
 
4.2%
-0.22 3
 
12.5%
-0.19 1
 
4.2%
-0.17 1
 
4.2%
-0.15 1
 
4.2%
-0.11 2
 
8.3%
-0.09 1
 
4.2%
-0.06 1
 
4.2%
ValueCountFrequency (%)
1.43 1
4.2%
0.3 1
4.2%
0.24 1
4.2%
0.02 1
4.2%
-0.06 1
4.2%
-0.09 1
4.2%
-0.11 2
8.3%
-0.15 1
4.2%
-0.17 1
4.2%
-0.19 1
4.2%

영상불호도표준점수
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
-0.08
18 
0.0
5 
0.08
 
1

Length

Max length5
Median length5
Mean length4.5416667
Min length3

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row-0.08
2nd row0.0
3rd row-0.08
4th row-0.08
5th row-0.08

Common Values

ValueCountFrequency (%)
-0.08 18
75.0%
0.0 5
 
20.8%
0.08 1
 
4.2%

Length

2023-12-10T22:58:13.320148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:13.518978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.08 19
79.2%
0.0 5
 
20.8%

영상인기지수표준점수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct11
Distinct (%)91.7%
Missing12
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean-0.325
Minimum-0.52
Maximum0.04
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)45.8%
Memory size348.0 B
2023-12-10T22:58:13.660690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.52
5-th percentile-0.5035
Q1-0.4625
median-0.405
Q3-0.18
95-th percentile-0.0315
Maximum0.04
Range0.56
Interquartile range (IQR)0.2825

Descriptive statistics

Standard deviation0.18637694
Coefficient of variation (CV)-0.57346751
Kurtosis-0.61156875
Mean-0.325
Median Absolute Deviation (MAD)0.085
Skewness0.86215432
Sum-3.9
Variance0.034736364
MonotonicityNot monotonic
2023-12-10T22:58:13.814918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-0.46 2
 
8.3%
-0.39 1
 
4.2%
-0.52 1
 
4.2%
-0.09 1
 
4.2%
0.04 1
 
4.2%
-0.42 1
 
4.2%
-0.32 1
 
4.2%
-0.2 1
 
4.2%
-0.49 1
 
4.2%
-0.12 1
 
4.2%
(Missing) 12
50.0%
ValueCountFrequency (%)
-0.52 1
4.2%
-0.49 1
4.2%
-0.47 1
4.2%
-0.46 2
8.3%
-0.42 1
4.2%
-0.39 1
4.2%
-0.32 1
4.2%
-0.2 1
4.2%
-0.12 1
4.2%
-0.09 1
4.2%
ValueCountFrequency (%)
0.04 1
4.2%
-0.09 1
4.2%
-0.12 1
4.2%
-0.2 1
4.2%
-0.32 1
4.2%
-0.39 1
4.2%
-0.42 1
4.2%
-0.46 2
8.3%
-0.47 1
4.2%
-0.49 1
4.2%

Interactions

2023-12-10T22:58:00.515558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:57:59.540573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:57:59.983659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:58:00.769541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:57:59.699902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:58:00.177789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:58:00.925068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:57:59.851056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:58:00.391293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:58:13.970982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도달지수영상ID도달지수영상범주도달지수영상설명도달지수영상길이도달지수영상제목도달지수채널ID도달지수채널명도달지수채널설명도달지수채널생성일자영상인기지수영상인기지수순위영상호감도표준점수영상불호도표준점수영상인기지수표준점수
도달지수영상ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도달지수영상범주1.0001.0001.0000.8191.0001.0001.0001.0001.0000.0000.0000.6610.0000.000
도달지수영상설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도달지수영상길이1.0000.8191.0001.0001.0000.9760.9760.9710.9761.0001.0000.7421.0001.000
도달지수영상제목1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
도달지수채널ID1.0001.0001.0000.9761.0001.0001.0001.0001.0001.0001.0000.8791.0001.000
도달지수채널명1.0001.0001.0000.9761.0001.0001.0001.0001.0001.0001.0000.8791.0001.000
도달지수채널설명1.0001.0001.0000.9711.0001.0001.0001.0001.0001.0001.0000.8861.0001.000
도달지수채널생성일자1.0001.0001.0000.9761.0001.0001.0001.0001.0001.0001.0000.8791.0001.000
영상인기지수1.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.7890.5801.000
영상인기지수순위1.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.2490.0001.000
영상호감도표준점수1.0000.6611.0000.7421.0000.8790.8790.8860.8790.7890.2491.0000.0000.789
영상불호도표준점수1.0000.0001.0001.0001.0001.0001.0001.0001.0000.5800.0000.0001.0000.580
영상인기지수표준점수1.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.7890.5801.000
2023-12-10T22:58:14.198851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영상불호도표준점수영상인기지수순위도달지수영상범주
영상불호도표준점수1.0000.0000.000
영상인기지수순위0.0001.0000.000
도달지수영상범주0.0000.0001.000
2023-12-10T22:58:14.452458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영상인기지수영상호감도표준점수영상인기지수표준점수도달지수영상범주영상인기지수순위영상불호도표준점수
영상인기지수1.0000.6681.0000.0000.7070.283
영상호감도표준점수0.6681.0000.6680.4720.3660.000
영상인기지수표준점수1.0000.6681.0000.0000.7070.283
도달지수영상범주0.0000.4720.0001.0000.0000.000
영상인기지수순위0.7070.3660.7070.0001.0000.000
영상불호도표준점수0.2830.0000.2830.0000.0001.000

Missing values

2023-12-10T22:58:01.189726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:58:01.584349image/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.
2023-12-10T22:58:01.833397image/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

도달지수영상ID도달지수영상범주도달지수영상설명도달지수영상길이도달지수영상제목도달지수채널ID도달지수채널명도달지수수집일자도달지수채널설명도달지수채널생성일자영상호감도영상불호도영상인기지수영상호감도순위영상불호도순위영상인기지수순위영상호감도표준점수영상불호도표준점수영상인기지수표준점수
0f74qeZI8SxA게임<NA>PT5M17S[연두의 IRL]블소에 현질이 하고싶은 연두UCFRDmLQJItqvkfFFfuTGGVg연두의 일상채널2021-03-01PC 게임부터 스팀게임; 고전게임; 콘솔게임 기타 등등 게임 실력은 뛰어나지 않지만 다양한 게임방송으로 여러분들을 즐겁게 해드리겠습니다. 게임 실황을 보고 싶으시면 트위치 방송국으로 https:www.twitch.tvrudbeckia7 으로 놀러오세요. 유튜브 영상은 출처를 밝혀주시고 공유하기로 퍼가셔도 됩니다! 많이 퍼가주시고 좋아요! 부탁드립니다!2012-08-180012.68000-0.22-0.08-0.39
1f75kdI_BK3c교육자동차 찌그러짐이나 흠집 등을 복원해주겠다며 길거리에서 불법 영업을 해온 이들이 서울시 특별사법경찰에 적발됐습니다. 정화 시설을 갖추지 않고 작업이 이뤄지다보니; 유해 화학 물질은 아무런 여과 없이 배출됐습니다.PT1M48S[tbsTV]‘차 외형복원’…도로 위 불법영업 ‘덜미’UC5HSw5OY2vfVFSihpiB-AVQTBS 시민의방송2021-03-01시민에 의한; 시민을 위한! 시민의 품격을 높여 주는 [TBS 시민의방송] ▣ 제보 및 의견 ▶TBS 안드로이드 앱 : https:play.google.comstoreappsdetails?id=com.jnhstudio.tbs_AndroidApp ▶TBS 애플 앱 : https:apps.apple.comkrapptbsid391062560 ▶홈페이지 : http:tbs.seoul.krtvindex.do ▶페이스북 : https:www.facebook.commylovetbs ▶트위터 : https:twitter.comseoultbstv ▶인스타그램 : https:www.instagram.comseoultbstv ▶카카오스토리채널 : https:ch.kakao.comchannels@seoultbs ▶네이버TV : https:tv.naver.comtbstv ▶카카오TV : https:tv.kakao.comchannel2658088livelink6840017?metaObjectType=Channe ▣ 방송 안내 ▶김어준의 뉴스공장 (월~금) 오전 7시6분 ▶정준희의 해시태그 목요일 밤 10시 30분 ▶더 룸 (월~금) 밤 9시30분 ▶민생연구소2 (화) 밤 10시30분 ▣ 채널 번호 kt 올레 tv: 214번 B tv: 167번 U+ tv: 245번2012-02-23001.6000-0.280.0-0.52
2f7mkVMB6JJw여행/이벤트curatorsim의 신석기공부 - 20061103 숭실대학교박물관 서울 흑석동에 위치한 숭실대학교의 메인박물관이죠. 선사시대 유물부터 기독교유물까지 다양한 유물들이 전시되어 있습니다. 2006년 사진이니 지금은 많이 변했겠죠? 당시만해도 제가 신석기에 미쳐있을 때니 신석기토기를 주로 찍었었네요 ㅋ 암사동의 빗살무늬토기; 미사리의 민무늬토기PT3M57Scuratorsim의 신석기공부 - 숭실대박물관소장 암사동미사리선사유물UC9iYGheHksAaocXVcPtcdWgA&A문화연구소2021-03-01우리의 문화유산을 함께 아끼고 누리기위해 운영하는 채널입니다. 좋아요와 구독눌러주신 분들께 영광있으라~~^^2011-02-0500<NA>00<NA>-0.3-0.08<NA>
3f7_NjzQve0Q게임유튜브 채널 '감스트' 검색! 구독 누르는거 잊지마세요! GAMST YouTube channel (GAMTUBE) subscribe please 아프리카티비 방송국 '감스트' 검색! 추천;즐찾! GAMST afreecaTV : afreeca.comdevil0108 페이스북 페이지 '감스트' 검색! 좋아요 클릭! GAMST FaceBook : facebook.comfifagamstPT23M52S감스트 : 감야망의 언차티드2 #04 (UNCHARTED2 l Playstation4)UCbFzvzDu17eDZ3RIeaLRswQ감스트GAMST2021-03-01재미와 감동을 동시에 느낄 수 있는 감스트의 공식 유튜브 채널 (감튜브) 입니다! 감스트와 같이 찢으실 분들은 '구독' 눌러주시고 많이 시청하러 오세요 :-D To have fun and be touched at the same time The official YouTube channel of GAMST (GAMTUBE) *_* If you want to have fun with GAMST Please visit and subscribe to the channel for more videos2013-08-0800<NA>00<NA>-0.3-0.08<NA>
4f7uuFb0S7aw게임재미있게 보셧나용 김재원 방송 https:www.twitch.tvjaewon4915 김재원 메일 wodnjs2601@naver.com 구독 눌러주시고 알람해주시면 더 빠르게 제영상을 보실수있당가요PT4M9S(김재원)한조로 캐리하는영상 여기있습니다^^UCta_NRwnsUaew0t3VNxBNyg김재원의 즐거운 세상2021-03-01<NA>2015-07-220037.12001-0.17-0.08-0.09
5f814VlDBUPo인물/블로그4월 20일 드디어 정원이 본색을 드러내다.. 순천만정원!PT5M8S정원본색(순천만정원 본색을 드러내다^^)UChrP3VKcPcOiR8WZ7LAdO8w순천시2021-03-01순천시의 정보를 시민과 함께 나누는 순천시 공식 유튜브 입니다~♥ 문의 및 제보 순천시청 홍보실 미디어홍보팀 idolws@korea.kr 061-749-57322014-03-0400<NA>00<NA>-0.3-0.08<NA>
6f84QccWuRD4엔터테인먼트Kim jang hoon(김장훈) - reborn(갱생) [Music Bank 2020.09.04] ▶Full Episodes Music Bank clips: https:www.youtube.complaylist?list=PLMf7VY8La5RGym7CKoCfDFz_qb_WxU8Ry Music Bank interviews & winning moments: https:www.youtube.complaylist?list=PLMf7VY8La5RHEIZ71XBEU9t9HQNKqm83Y The Return of Superman: https:www.youtube.complaylist?list=PLMf7VY8La5RFIeOyIZ5IOm68WVb7c2dyT Dogs are incredible: https:www.youtube.complaylist?list=PLMf7VY8La5RHyRoQL25aDHMIyqG6qmvbs Stars' Top Recipe at Fun-Staurant: https:www.youtube.complaylist?list=PLMf7VY8La5RGn0amdjSh8_3rU4zcApL3N Unasked Family: https:www.youtube.complaylist?list=PLMf7VY8La5RHOrGquk0-VpaVNW1J1vLh5 The Miracle We Met: https:www.youtube.complaylist?list=PLMf7VY8La5RFRfeoLBQ-VtoLB3oPlMeTt 2019 KBS Song Festival: https:www.youtube.complaylist?list=PLMf7VY8La5RF_MYEdtuaOYEu5C7CYx3RH When you are now sure what to watch: https:www.youtube.complaylist?list=PLMf7VY8La5REjpb94an3gNiRHYJOx8fz8 ▶Subscribe KBS World Official Pages Youtube Subscribe：https:www.youtube.coPT3M38SKim jang hoon(김장훈) - reborn(갱생) (Music Bank) I KBS WORLD TV 200904UC5BMQOsAB8hKUyHu9KI6yigKBS WORLD TV2021-03-01KBS WORLD TV is a television channel for international audiences provided by the Korean Broadcasting System (KBS). It's your premier window on Korean contents with a nonstop; 24-hour a day; 7-day a week stream of Korea's latest and most popular programs.2007-01-060048.00010.30.00.04
7f8NicGKyMwo뉴스/정치마포구청 마포TV (mbs.mapo.go.kr) 마포구의 공식 주민소통 방송 '마포TV' 소통과 혁신으로 더크고 행복한 마포를 만들겠습니다.PT57S마포구 마포TV 6월 14일 뉴스 2019 마포협치 공감한마당UCZ1Nw3mlYRJPp1XqVLD0gTwmy Mapo마포구2021-03-01마포구에서 운영하는 공식 주민소통 방송 마포TV 입니다. 지난 2019년 2월16일 마포구 공식 주민소통 방송 '마포TV' 유튜브 채널이 구독자 1000명 돌파했다고 유튜브에서 축하 카드를 보내주셨습니다. 지난해 12월부터 본격 활동을 해온터라 늦은감이 있지만 더욱더 분발해서 10;000명; 100;000명 구독하는 유익한 방송으로 노력하도록 하겠습니다. '마포TV' 구독자 여러분 진심으로 감사드립니다.2014-08-0800<NA>00<NA>1.43-0.08<NA>
8f8CkwgDHd30엔터테인먼트약초꾼도 엄지 척! 야생 도라지PT3M57S길이 없는 깊은 산속에 있는 대물?!UCYyLIlOJyqkAFKlVjzX5imgMBN Entertainment2021-03-01시청자와 함께하는 '열린 세상; 열린 방송' 유튜브 MBN 공식 예능&교양 채널; 'MBN Entetainment'입니다:) 구독자의 의견을 함께 나눠 더 신선하고 재미있는 MBN Entertainment가 되겠습니다♥ Welcome to ‘MBN Entertainment’ ‘MBN Entertaiment’ is the official MBN program Channel. Let's scribe to 'MBN Entertainment'. And You will be happy everyday:)2017-12-2000<NA>00<NA>-0.22-0.08<NA>
9f8WF6yQyUTA인물/블로그영등포구 소셜미디어방송 '소통TV' [영등포구] 동 지역사회보장협의체 연합회 회의PT1M[영등포구] 동 지역사회보장협의체 연합회 회의UCOAesn82xnwtinrhvW3n26w스튜디오 틔움2021-03-01<NA>2014-04-2200<NA>00<NA>-0.3-0.08<NA>
도달지수영상ID도달지수영상범주도달지수영상설명도달지수영상길이도달지수영상제목도달지수채널ID도달지수채널명도달지수수집일자도달지수채널설명도달지수채널생성일자영상호감도영상불호도영상인기지수영상호감도순위영상불호도순위영상인기지수순위영상호감도표준점수영상불호도표준점수영상인기지수표준점수
14f8imqsQF4IQ인물/블로그<NA>PT2M30S[EBS육아학교] 장난감 중독이란 뭔가요? EBS부모UC1GPmJkgndmukEMQrqrfaNwEBS육아학교2021-03-01부모 교육 파트너 EBS 육아학교Pin2015-08-1200<NA>00<NA>-0.3-0.08<NA>
15f91_7VCHabk게임문호준 유튜브 카트 편집 영상이 매일 업로드 됩니다! 구독과 좋아요 한 번씩 부탁드립니다! 문호준 트위치TV : https:www.twitch.tvmhj1682 문호준 유튜브 구독! 스폰문의 : moonfeedback@naver.com또는 인스타 다이렉트PT10M15S「모니터 두개로 두개의 헤르츠를 같이 써봤습니다ㅋㅋㅋㅋ」UCeivPjjK9-cdj8-gw4-7JRg문호준2021-03-01문호준 유튜브 입니다! 1일 1영상 매일 올라가니 구독과 알람설정 후 재밌게 시청해주시면 감사하겠습니다! 스폰문의 : moonfeedback@naver.com 또는 인스타 다이렉트2015-06-250028.31001-0.11-0.08-0.2
16f93XAB9TZTs게임#트라하 * 업로드 시간 오후12시~6시 사이!! * 비즈니스 문의 : jylovelron@naver.com * 유튜브 트위치 네이버티비 동시송출!! * 트위치 방송국 - https:www.twitch.tvjylovelron * 네이버티비 - https:tv.naver.comjylovelron 구독 좋아요 부탁드립니다!PT3M24S[트라하] 트라하 200명 단체싸움 좀비 죽이는 히어로 독안개 리켄(TRAHA)UCnV5tUnOVGyT-Ncj0s0tPTw제이2021-03-01안녕하세요^^ 제이의 유튜브 채널입니다. 종합 모바일게임 리뷰어! 최신 모바일 게임 원탑 속도와 정보! 각종 리뷰영상 제작! 광고&섭외 문의: jylovelron@naver.com ▶J전설 카페 http:cafe.naver.comjylovelron ▶페이스북 https:www.facebook.comjylovelron ▶인스타그램 https:www.instagram.comjylovelron 구독과 좋아요는 사랑입니다^^2016-11-03004.0000-0.190.0-0.49
17f9Ltq6lR1B8엔터테인먼트＜파프리카돼지고기볶음＞ 파프리카 수분까지 잡는 비법은? #알토란#시래기밥#시래기소고기찜#가을열매#찐밤#대추초#파프리카돼지고기볶음 ☞MBN Entertainment 구독하기 : https:www.youtube.comchannelUCYyLIlOJyqkAFKlVjzX5img?sub_confirmation=1 ☞MBN 공식 홈페이지 : https:www.mbn.co.krPT1M8S＜파프리카돼지고기볶음＞ 파프리카 수분까지 잡는 비법은? MBN 201101 방송UCYyLIlOJyqkAFKlVjzX5imgMBN Entertainment2021-03-01시청자와 함께하는 '열린 세상; 열린 방송' 유튜브 MBN 공식 예능&교양 채널; 'MBN Entetainment'입니다:) 구독자의 의견을 함께 나눠 더 신선하고 재미있는 MBN Entertainment가 되겠습니다♥ Welcome to ‘MBN Entertainment’ ‘MBN Entertaiment’ is the official MBN program Channel. Let's scribe to 'MBN Entertainment'. And You will be happy everyday:)2017-12-2000<NA>00<NA>0.02-0.08<NA>
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