Overview

Dataset statistics

Number of variables15
Number of observations28
Missing cells7
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory133.7 B

Variable types

Text4
Categorical5
DateTime1
Numeric5

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/5e689b57-b2d2-420b-ac9a-47d2f9e54afe

Alerts

인기지수수집일자 has constant value ""Constant
인기지수호감도 has constant value ""Constant
인기지수불호도 has constant value ""Constant
불호도 is highly overall correlated with 불호도표준점수High correlation
불호도표준점수 is highly overall correlated with 불호도High correlation
채널인기지수 is highly overall correlated with 채널호감도 and 3 other fieldsHigh correlation
채널호감도 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
인기지수 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
호감도표준점수 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
인기지수표준점수 is highly overall correlated with 채널인기지수 and 3 other fieldsHigh correlation
인기지수채널설명 has 4 (14.3%) missing valuesMissing
채널인기지수 has 1 (3.6%) missing valuesMissing
인기지수 has 1 (3.6%) missing valuesMissing
인기지수표준점수 has 1 (3.6%) missing valuesMissing
인기지수채널ID has unique valuesUnique
인기지수채널명 has unique valuesUnique
인기지수채널생성일자 has unique valuesUnique
인기지수채널아이콘 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:22:19.110984
Analysis finished2023-12-10 14:22:23.418397
Duration4.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인기지수채널ID
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:22:23.609390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length24
Mean length24
Min length24

Characters and Unicode

Total characters672
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowUC0G0Z05LATPtpUkxeOrEjOA
2nd rowUC-_Lr5aJ92zDKCJXAQi656A
3rd rowUC1dK7oMUSR9Rnk1BSpOKZng
4th rowUC0gAs4OdWWuzS8m8jK7dB5Q
5th rowUC1kL6gpiIEmRFTfGkCrQkCw
ValueCountFrequency (%)
uc0g0z05latptpukxeorejoa 1
 
3.6%
uc-_lr5aj92zdkcjxaqi656a 1
 
3.6%
ucb3q-dsjxm5jkfh7q8v8_-q 1
 
3.6%
ucb-_erkkou9nm5z4tm4o4fw 1
 
3.6%
uc9mvbtjhnwsltqktylf2kxw 1
 
3.6%
ucaskb2e2ql4wrxernanddjw 1
 
3.6%
uc9iyghehksaaocxvcptcdwg 1
 
3.6%
uc9a4spvt4xln98emusd40eg 1
 
3.6%
uc9t8wl0quwhpcksv73j5dqa 1
 
3.6%
uc9sz7d8ytd4c_zwugconm7a 1
 
3.6%
Other values (18) 18
64.3%
2023-12-10T23:22:24.279873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 43
 
6.4%
U 37
 
5.5%
w 19
 
2.8%
7 19
 
2.8%
g 18
 
2.7%
A 17
 
2.5%
8 17
 
2.5%
Q 15
 
2.2%
9 15
 
2.2%
6 15
 
2.2%
Other values (54) 457
68.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 313
46.6%
Lowercase Letter 222
33.0%
Decimal Number 123
 
18.3%
Dash Punctuation 7
 
1.0%
Connector Punctuation 7
 
1.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 43
 
13.7%
U 37
 
11.8%
A 17
 
5.4%
Q 15
 
4.8%
M 14
 
4.5%
S 13
 
4.2%
H 11
 
3.5%
L 11
 
3.5%
E 11
 
3.5%
Z 11
 
3.5%
Other values (16) 130
41.5%
Lowercase Letter
ValueCountFrequency (%)
w 19
 
8.6%
g 18
 
8.1%
d 14
 
6.3%
k 13
 
5.9%
e 12
 
5.4%
j 11
 
5.0%
l 11
 
5.0%
t 10
 
4.5%
z 9
 
4.1%
y 8
 
3.6%
Other values (16) 97
43.7%
Decimal Number
ValueCountFrequency (%)
7 19
15.4%
8 17
13.8%
9 15
12.2%
6 15
12.2%
0 13
10.6%
4 11
8.9%
1 9
7.3%
2 8
6.5%
5 8
6.5%
3 8
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 535
79.6%
Common 137
 
20.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 43
 
8.0%
U 37
 
6.9%
w 19
 
3.6%
g 18
 
3.4%
A 17
 
3.2%
Q 15
 
2.8%
M 14
 
2.6%
d 14
 
2.6%
k 13
 
2.4%
S 13
 
2.4%
Other values (42) 332
62.1%
Common
ValueCountFrequency (%)
7 19
13.9%
8 17
12.4%
9 15
10.9%
6 15
10.9%
0 13
9.5%
4 11
8.0%
1 9
6.6%
2 8
5.8%
5 8
5.8%
3 8
5.8%
Other values (2) 14
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 672
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 43
 
6.4%
U 37
 
5.5%
w 19
 
2.8%
7 19
 
2.8%
g 18
 
2.7%
A 17
 
2.5%
8 17
 
2.5%
Q 15
 
2.2%
9 15
 
2.2%
6 15
 
2.2%
Other values (54) 457
68.0%

인기지수채널명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:22:24.545928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17.5
Mean length9.0714286
Min length2

Characters and Unicode

Total characters254
Distinct characters142
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row국토교통부
2nd row도봉봉TV- 서울특별시 도봉구 공식 유튜브
3rd row정선호
4th row강남시니어플라자
5th row뉴욕판다와 6멍2냥이네NEWYORK PANDA
ValueCountFrequency (%)
국토교통부 1
 
2.0%
human 1
 
2.0%
남동tv 1
 
2.0%
마재tv 1
 
2.0%
페뇨 1
 
2.0%
생방송심야토론 1
 
2.0%
pure.d퓨어디 1
 
2.0%
지연 1
 
2.0%
jiyeon 1
 
2.0%
알짜 1
 
2.0%
Other values (39) 39
79.6%
2023-12-10T23:22:24.995429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
8.3%
T 7
 
2.8%
V 6
 
2.4%
N 6
 
2.4%
a 6
 
2.4%
A 6
 
2.4%
m 4
 
1.6%
연 4
 
1.6%
U 4
 
1.6%
E 4
 
1.6%
Other values (132) 186
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 130
51.2%
Uppercase Letter 67
26.4%
Lowercase Letter 24
 
9.4%
Space Separator 21
 
8.3%
Decimal Number 6
 
2.4%
Other Punctuation 4
 
1.6%
Dash Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 4
 
3.1%
구 3
 
2.3%
시 3
 
2.3%
도 3
 
2.3%
봉 3
 
2.3%
이 2
 
1.5%
마 2
 
1.5%
주 2
 
1.5%
달 2
 
1.5%
토 2
 
1.5%
Other values (90) 104
80.0%
Uppercase Letter
ValueCountFrequency (%)
T 7
 
10.4%
V 6
 
9.0%
N 6
 
9.0%
A 6
 
9.0%
U 4
 
6.0%
E 4
 
6.0%
P 3
 
4.5%
S 3
 
4.5%
K 3
 
4.5%
D 3
 
4.5%
Other values (12) 22
32.8%
Lowercase Letter
ValueCountFrequency (%)
a 6
25.0%
m 4
16.7%
i 3
12.5%
l 3
12.5%
r 2
 
8.3%
e 2
 
8.3%
o 1
 
4.2%
n 1
 
4.2%
b 1
 
4.2%
s 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
0 2
33.3%
4 1
16.7%
1 1
16.7%
2 1
16.7%
6 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 1
25.0%
: 1
25.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 130
51.2%
Latin 91
35.8%
Common 33
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 4
 
3.1%
구 3
 
2.3%
시 3
 
2.3%
도 3
 
2.3%
봉 3
 
2.3%
이 2
 
1.5%
마 2
 
1.5%
주 2
 
1.5%
달 2
 
1.5%
토 2
 
1.5%
Other values (90) 104
80.0%
Latin
ValueCountFrequency (%)
T 7
 
7.7%
V 6
 
6.6%
N 6
 
6.6%
a 6
 
6.6%
A 6
 
6.6%
m 4
 
4.4%
U 4
 
4.4%
E 4
 
4.4%
P 3
 
3.3%
S 3
 
3.3%
Other values (22) 42
46.2%
Common
ValueCountFrequency (%)
21
63.6%
& 2
 
6.1%
0 2
 
6.1%
- 2
 
6.1%
. 1
 
3.0%
4 1
 
3.0%
1 1
 
3.0%
2 1
 
3.0%
6 1
 
3.0%
: 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 130
51.2%
ASCII 124
48.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
 
16.9%
T 7
 
5.6%
V 6
 
4.8%
N 6
 
4.8%
a 6
 
4.8%
A 6
 
4.8%
m 4
 
3.2%
U 4
 
3.2%
E 4
 
3.2%
P 3
 
2.4%
Other values (32) 57
46.0%
Hangul
ValueCountFrequency (%)
연 4
 
3.1%
구 3
 
2.3%
시 3
 
2.3%
도 3
 
2.3%
봉 3
 
2.3%
이 2
 
1.5%
마 2
 
1.5%
주 2
 
1.5%
달 2
 
1.5%
토 2
 
1.5%
Other values (90) 104
80.0%

인기지수수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
2021-03-31
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-03-31
2nd row2021-03-31
3rd row2021-03-31
4th row2021-03-31
5th row2021-03-31

Common Values

ValueCountFrequency (%)
2021-03-31 28
100.0%

Length

2023-12-10T23:22:25.187859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:25.308236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-03-31 28
100.0%

인기지수채널설명
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing4
Missing (%)14.3%
Memory size356.0 B
2023-12-10T23:22:25.553788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length330
Median length115.5
Mean length96.583333
Min length18

Characters and Unicode

Total characters2318
Distinct characters360
Distinct categories14 ?
Distinct scripts3 ?
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 row국민과 함께하는 국토교통부 유튜브 채널입니다. 구독하시면 대한민국 세종 정부청사에서 논의 중인 국토 교통 행정에 관한 주요 뉴스와 2020년 최신 아파트; 부동산; KTX; SRT 여행 정보가 업데이트 됩니다. 건강한 디지털 소통을 위해 비방; 욕설; 개인정보; 허위사실; 재판·수사 등 부적절한 내용이 포함된 댓글은 관리자가 삭제 또는 감춤 처리하니 참고하시기 바랍니다.
2nd row안녕하세요. 여기는 도봉구 공식 유튜브 채널입니다. 주간뉴스는 매주 수요일에 업데이트됩니다^^ 도봉의 다양한 소식을 전해드리겠습니다. 도봉구청 http:www.dobong.go.kr 도봉구청 인터넷방송 http:dbs.dobong.go.kr #서울특별시 #도봉구 #도봉주간뉴스 #도봉구청
3rd row안녕하세요~ 6마리 요크셔테리어 2마리 고양이와 함께 살고 있는 판다입니다 강아지와 고양이와 함께 수제간식도 만들고~ 놀고 싸우고 하고 지내는 이야기 뉴욕에 사는 저의 이야기들을 함께 나누고 싶습니다~ 안녕 우리 자주 만나요
4th rowKARI 한국항공우주연구원은 대한민국 항공우주 분야 중심 연구기관으로서 항공우주기술 개발을 통해 국민의 안전한 삶을 보장하고 삶의 질 향상에 기여하는 한편; 항공우주 공간의 확대를 통해 하늘과 우주를 향한 대한민국의 꿈과 가치를 구현해 나가고 있습니다.
5th row종합 게임 영상 채널입니다. Gameplay
ValueCountFrequency (%)
8
 
2.2%
채널입니다 8
 
2.2%
함께 5
 
1.4%
안녕하세요 5
 
1.4%
문의 3
 
0.8%
채널 3
 
0.8%
더한 3
 
0.8%
입니다 3
 
0.8%
도봉구청 3
 
0.8%
유튜브 3
 
0.8%
Other values (299) 323
88.0%
2023-12-10T23:22:25.939752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
395
 
17.0%
. 58
 
2.5%
o 58
 
2.5%
t 50
 
2.2%
a 44
 
1.9%
e 39
 
1.7%
m 38
 
1.6%
= 37
 
1.6%
다 37
 
1.6%
n 35
 
1.5%
Other values (350) 1527
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1028
44.3%
Lowercase Letter 548
23.6%
Space Separator 395
 
17.0%
Other Punctuation 127
 
5.5%
Uppercase Letter 78
 
3.4%
Decimal Number 58
 
2.5%
Math Symbol 51
 
2.2%
Connector Punctuation 8
 
0.3%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Other values (4) 11
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 37
 
3.6%
니 35
 
3.4%
이 22
 
2.1%
의 22
 
2.1%
하 20
 
1.9%
는 19
 
1.8%
고 17
 
1.7%
입 16
 
1.6%
한 16
 
1.6%
구 15
 
1.5%
Other values (263) 809
78.7%
Lowercase Letter
ValueCountFrequency (%)
o 58
 
10.6%
t 50
 
9.1%
a 44
 
8.0%
e 39
 
7.1%
m 38
 
6.9%
n 35
 
6.4%
c 30
 
5.5%
w 30
 
5.5%
p 24
 
4.4%
i 23
 
4.2%
Other values (16) 177
32.3%
Uppercase Letter
ValueCountFrequency (%)
T 7
 
9.0%
E 5
 
6.4%
B 5
 
6.4%
M 4
 
5.1%
Y 4
 
5.1%
I 4
 
5.1%
U 4
 
5.1%
S 3
 
3.8%
W 3
 
3.8%
H 3
 
3.8%
Other values (16) 36
46.2%
Decimal Number
ValueCountFrequency (%)
0 15
25.9%
7 7
12.1%
1 7
12.1%
5 6
 
10.3%
9 5
 
8.6%
2 5
 
8.6%
3 4
 
6.9%
4 3
 
5.2%
6 3
 
5.2%
8 3
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 58
45.7%
: 22
 
17.3%
! 17
 
13.4%
; 14
 
11.0%
@ 8
 
6.3%
# 4
 
3.1%
& 2
 
1.6%
· 1
 
0.8%
? 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
= 37
72.5%
~ 6
 
11.8%
+ 5
 
9.8%
→ 3
 
5.9%
Close Punctuation
ValueCountFrequency (%)
] 5
71.4%
) 2
 
28.6%
Open Punctuation
ValueCountFrequency (%)
[ 5
71.4%
( 2
 
28.6%
Modifier Symbol
ValueCountFrequency (%)
^ 4
66.7%
˘ 2
33.3%
Other Symbol
ValueCountFrequency (%)
★ 2
66.7%
♥ 1
33.3%
Space Separator
ValueCountFrequency (%)
395
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Other Number
ValueCountFrequency (%)
³ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1028
44.3%
Common 664
28.6%
Latin 626
27.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 37
 
3.6%
니 35
 
3.4%
이 22
 
2.1%
의 22
 
2.1%
하 20
 
1.9%
는 19
 
1.8%
고 17
 
1.7%
입 16
 
1.6%
한 16
 
1.6%
구 15
 
1.5%
Other values (263) 809
78.7%
Latin
ValueCountFrequency (%)
o 58
 
9.3%
t 50
 
8.0%
a 44
 
7.0%
e 39
 
6.2%
m 38
 
6.1%
n 35
 
5.6%
c 30
 
4.8%
w 30
 
4.8%
p 24
 
3.8%
i 23
 
3.7%
Other values (42) 255
40.7%
Common
ValueCountFrequency (%)
395
59.5%
. 58
 
8.7%
= 37
 
5.6%
: 22
 
3.3%
! 17
 
2.6%
0 15
 
2.3%
; 14
 
2.1%
_ 8
 
1.2%
@ 8
 
1.2%
7 7
 
1.1%
Other values (25) 83
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
55.2%
Hangul 1028
44.3%
Arrows 3
 
0.1%
Misc Symbols 3
 
0.1%
Modifier Letters 2
 
0.1%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
395
30.9%
. 58
 
4.5%
o 58
 
4.5%
t 50
 
3.9%
a 44
 
3.4%
e 39
 
3.0%
m 38
 
3.0%
= 37
 
2.9%
n 35
 
2.7%
c 30
 
2.3%
Other values (71) 496
38.8%
Hangul
ValueCountFrequency (%)
다 37
 
3.6%
니 35
 
3.4%
이 22
 
2.1%
의 22
 
2.1%
하 20
 
1.9%
는 19
 
1.8%
고 17
 
1.7%
입 16
 
1.6%
한 16
 
1.6%
구 15
 
1.5%
Other values (263) 809
78.7%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
Modifier Letters
ValueCountFrequency (%)
˘ 2
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 2
66.7%
♥ 1
33.3%
None
ValueCountFrequency (%)
³ 1
50.0%
· 1
50.0%

인기지수채널생성일자
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2010-01-06 00:00:00
Maximum2019-08-08 00:00:00
2023-12-10T23:22:26.061669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:26.175858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인기지수채널아이콘
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T23:22:26.533612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length98
Mean length97.25
Min length95

Characters and Unicode

Total characters2723
Distinct characters68
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/ytc/AAUvwniEn6P03TNAl3syktcPc5d3MK1V6B54YEWSbVPeSQ=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AAUvwnhCdrG38Comny0zf23U2qImEWHD-quM5CD1dILjDA=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AAUvwnjM6IfBlHIH2qM-b94RM8pgmoa9A_ooSqx7CX1NuA=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AAUvwnixLZRptbknHmrsw1Y8ld2KTqSzm7fJewsviyFz=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AAUvwnie_13hhPK5AG0M2c9vrHFaM4MyPYYmLtOwByXTZg=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/aauvwnien6p03tnal3syktcpc5d3mk1v6b54yewsbvpesq=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnhcdrg38comny0zf23u2qimewhd-qum5cd1diljda=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnji_syqv_uouayaonhanczi7tq-btqczyvqverriq=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnghet5jw70a3tqdxfcisnudvbwvurq9knssc3yd=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwngg0gbkvjl4_tsnczcy3sn-2o8o3d5uz8_8e3lo1g=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwngequhktv3kl-r94kqqdq6bn7cpam8rupsv6amm=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnh4m_x3dr9mytwl7geighy5kocxwjxzi969d2xeyg=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnht3i66j_uq0gnjx4nhapb0hkl9yaeemaerojt7yq=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwniiq0ixk2x6mb8ah9pn_hxhpzuiiqu-xfh1adcwag=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
https://yt3.ggpht.com/ytc/aauvwnivrgxda6arpmaievncc0ygjbzq-2vgji1fvusu=s88-c-k-c0x00ffffff-no-rj 1
 
3.6%
Other values (18) 18
64.3%
2023-12-10T23:22:26.930800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 180
 
6.6%
- 160
 
5.9%
t 156
 
5.7%
c 128
 
4.7%
/ 112
 
4.1%
0 101
 
3.7%
g 86
 
3.2%
o 78
 
2.9%
n 74
 
2.7%
p 74
 
2.7%
Other values (58) 1574
57.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1452
53.3%
Uppercase Letter 518
 
19.0%
Decimal Number 355
 
13.0%
Other Punctuation 196
 
7.2%
Dash Punctuation 160
 
5.9%
Math Symbol 28
 
1.0%
Connector Punctuation 14
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 180
 
12.4%
t 156
 
10.7%
c 128
 
8.8%
g 86
 
5.9%
o 78
 
5.4%
n 74
 
5.1%
p 74
 
5.1%
y 74
 
5.1%
h 73
 
5.0%
s 72
 
5.0%
Other values (16) 457
31.5%
Uppercase Letter
ValueCountFrequency (%)
A 68
 
13.1%
U 43
 
8.3%
T 25
 
4.8%
Y 23
 
4.4%
I 23
 
4.4%
X 22
 
4.2%
V 21
 
4.1%
S 21
 
4.1%
H 21
 
4.1%
E 19
 
3.7%
Other values (16) 232
44.8%
Decimal Number
ValueCountFrequency (%)
0 101
28.5%
8 73
20.6%
3 54
15.2%
6 23
 
6.5%
2 20
 
5.6%
1 18
 
5.1%
5 18
 
5.1%
9 17
 
4.8%
7 16
 
4.5%
4 15
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 112
57.1%
. 56
28.6%
: 28
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%
Math Symbol
ValueCountFrequency (%)
= 28
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1970
72.3%
Common 753
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 180
 
9.1%
t 156
 
7.9%
c 128
 
6.5%
g 86
 
4.4%
o 78
 
4.0%
n 74
 
3.8%
p 74
 
3.8%
y 74
 
3.8%
h 73
 
3.7%
s 72
 
3.7%
Other values (42) 975
49.5%
Common
ValueCountFrequency (%)
- 160
21.2%
/ 112
14.9%
0 101
13.4%
8 73
9.7%
. 56
 
7.4%
3 54
 
7.2%
: 28
 
3.7%
= 28
 
3.7%
6 23
 
3.1%
2 20
 
2.7%
Other values (6) 98
13.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2723
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 180
 
6.6%
- 160
 
5.9%
t 156
 
5.7%
c 128
 
4.7%
/ 112
 
4.1%
0 101
 
3.7%
g 86
 
3.2%
o 78
 
2.9%
n 74
 
2.7%
p 74
 
2.7%
Other values (58) 1574
57.8%

인기지수호감도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

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 28
100.0%

Length

2023-12-10T23:22:27.051746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:27.142503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

인기지수불호도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

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 28
100.0%

Length

2023-12-10T23:22:27.226629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:27.296123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

채널인기지수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean38.352593
Minimum4.53
Maximum170.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:27.368323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.53
5-th percentile6.091
Q18.67
median27.66
Q342.305
95-th percentile118.109
Maximum170.28
Range165.75
Interquartile range (IQR)33.635

Descriptive statistics

Standard deviation41.525645
Coefficient of variation (CV)1.0827337
Kurtosis3.0198265
Mean38.352593
Median Absolute Deviation (MAD)18.58
Skewness1.7826197
Sum1035.52
Variance1724.3792
MonotonicityNot monotonic
2023-12-10T23:22:27.485993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
11.57 1
 
3.6%
45.23 1
 
3.6%
10.09 1
 
3.6%
14.36 1
 
3.6%
6.89 1
 
3.6%
38.67 1
 
3.6%
4.53 1
 
3.6%
6.86 1
 
3.6%
20.65 1
 
3.6%
9.08 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
4.53 1
3.6%
5.83 1
3.6%
6.7 1
3.6%
6.86 1
3.6%
6.89 1
3.6%
7.18 1
3.6%
8.26 1
3.6%
9.08 1
3.6%
10.09 1
3.6%
11.57 1
3.6%
ValueCountFrequency (%)
170.28 1
3.6%
123.62 1
3.6%
105.25 1
3.6%
80.83 1
3.6%
79.38 1
3.6%
70.74 1
3.6%
45.23 1
3.6%
39.38 1
3.6%
38.67 1
3.6%
36.86 1
3.6%

채널호감도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)39.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8214286
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:27.603140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35.5
95-th percentile21.6
Maximum30
Range29
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation7.2062399
Coefficient of variation (CV)1.2378817
Kurtosis4.650965
Mean5.8214286
Median Absolute Deviation (MAD)2
Skewness2.2270109
Sum163
Variance51.929894
MonotonicityNot monotonic
2023-12-10T23:22:27.692613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 6
21.4%
2 6
21.4%
3 4
14.3%
5 3
10.7%
7 2
 
7.1%
4 2
 
7.1%
30 1
 
3.6%
13 1
 
3.6%
23 1
 
3.6%
19 1
 
3.6%
ValueCountFrequency (%)
1 6
21.4%
2 6
21.4%
3 4
14.3%
4 2
 
7.1%
5 3
10.7%
7 2
 
7.1%
11 1
 
3.6%
13 1
 
3.6%
19 1
 
3.6%
23 1
 
3.6%
ValueCountFrequency (%)
30 1
 
3.6%
23 1
 
3.6%
19 1
 
3.6%
13 1
 
3.6%
11 1
 
3.6%
7 2
 
7.1%
5 3
10.7%
4 2
 
7.1%
3 4
14.3%
2 6
21.4%

불호도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
20 
3
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 20
71.4%
3 8
 
28.6%

Length

2023-12-10T23:22:27.788906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:27.866184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
71.4%
3 8
 
28.6%

인기지수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct26
Distinct (%)96.3%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean3.7803704
Minimum0.42
Maximum16.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T23:22:27.965454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.42
5-th percentile0.577
Q10.83
median2.72
Q34.17
95-th percentile11.704
Maximum16.89
Range16.47
Interquartile range (IQR)3.34

Descriptive statistics

Standard deviation4.1262541
Coefficient of variation (CV)1.0914947
Kurtosis3.0198691
Mean3.7803704
Median Absolute Deviation (MAD)1.85
Skewness1.7826074
Sum102.07
Variance17.025973
MonotonicityNot monotonic
2023-12-10T23:22:28.088103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.65 2
 
7.1%
1.12 1
 
3.6%
12.25 1
 
3.6%
0.97 1
 
3.6%
1.4 1
 
3.6%
3.81 1
 
3.6%
0.42 1
 
3.6%
2.02 1
 
3.6%
0.87 1
 
3.6%
2.72 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
0.42 1
3.6%
0.55 1
3.6%
0.64 1
3.6%
0.65 2
7.1%
0.68 1
3.6%
0.79 1
3.6%
0.87 1
3.6%
0.97 1
3.6%
1.12 1
3.6%
1.4 1
3.6%
ValueCountFrequency (%)
16.89 1
3.6%
12.25 1
3.6%
10.43 1
3.6%
8.0 1
3.6%
7.86 1
3.6%
7.0 1
3.6%
4.46 1
3.6%
3.88 1
3.6%
3.81 1
3.6%
3.63 1
3.6%

호감도표준점수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.055714286
Minimum-0.82
Maximum4.12
Zeros0
Zeros (%)0.0%
Negative21
Negative (%)75.0%
Memory size384.0 B
2023-12-10T23:22:28.205330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.82
5-th percentile-0.8025
Q1-0.65
median-0.38
Q3-0.0175
95-th percentile2.713
Maximum4.12
Range4.94
Interquartile range (IQR)0.6325

Descriptive statistics

Standard deviation1.2072173
Coefficient of variation (CV)21.668002
Kurtosis4.7965746
Mean0.055714286
Median Absolute Deviation (MAD)0.27
Skewness2.2506702
Sum1.56
Variance1.4573735
MonotonicityNot monotonic
2023-12-10T23:22:28.350140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-0.53 4
14.3%
-0.71 3
10.7%
-0.12 2
 
7.1%
-0.35 2
 
7.1%
0.29 2
 
7.1%
-0.65 2
 
7.1%
-0.82 2
 
7.1%
-0.24 2
 
7.1%
-0.41 1
 
3.6%
1.24 1
 
3.6%
Other values (7) 7
25.0%
ValueCountFrequency (%)
-0.82 2
7.1%
-0.77 1
 
3.6%
-0.71 3
10.7%
-0.65 2
7.1%
-0.53 4
14.3%
-0.47 1
 
3.6%
-0.41 1
 
3.6%
-0.35 2
7.1%
-0.24 2
7.1%
-0.18 1
 
3.6%
ValueCountFrequency (%)
4.12 1
3.6%
3.0 1
3.6%
2.18 1
3.6%
1.24 1
3.6%
0.88 1
3.6%
0.29 2
7.1%
-0.12 2
7.1%
-0.18 1
3.6%
-0.24 2
7.1%
-0.35 2
7.1%

불호도표준점수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
20 
1
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 20
71.4%
1 8
 
28.6%

Length

2023-12-10T23:22:28.515153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:28.621619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 20
71.4%
1 8
 
28.6%

인기지수표준점수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct25
Distinct (%)92.6%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean-0.04
Minimum-0.77
Maximum2.8
Zeros0
Zeros (%)0.0%
Negative20
Negative (%)71.4%
Memory size384.0 B
2023-12-10T23:22:28.742153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.77
5-th percentile-0.734
Q1-0.68
median-0.27
Q30.045
95-th percentile1.68
Maximum2.8
Range3.57
Interquartile range (IQR)0.725

Descriptive statistics

Standard deviation0.89436699
Coefficient of variation (CV)-22.359175
Kurtosis3.015033
Mean-0.04
Median Absolute Deviation (MAD)0.4
Skewness1.7808132
Sum-1.08
Variance0.79989231
MonotonicityNot monotonic
2023-12-10T23:22:28.885533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-0.72 3
 
10.7%
-0.62 1
 
3.6%
1.8 1
 
3.6%
-0.65 1
 
3.6%
-0.56 1
 
3.6%
-0.03 1
 
3.6%
-0.77 1
 
3.6%
-0.42 1
 
3.6%
-0.67 1
 
3.6%
-0.27 1
 
3.6%
Other values (15) 15
53.6%
ValueCountFrequency (%)
-0.77 1
 
3.6%
-0.74 1
 
3.6%
-0.72 3
10.7%
-0.71 1
 
3.6%
-0.69 1
 
3.6%
-0.67 1
 
3.6%
-0.65 1
 
3.6%
-0.62 1
 
3.6%
-0.56 1
 
3.6%
-0.47 1
 
3.6%
ValueCountFrequency (%)
2.8 1
3.6%
1.8 1
3.6%
1.4 1
3.6%
0.87 1
3.6%
0.84 1
3.6%
0.66 1
3.6%
0.11 1
3.6%
-0.02 1
3.6%
-0.03 1
3.6%
-0.07 1
3.6%

Interactions

2023-12-10T23:22:22.222657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:19.880389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:20.479965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:21.074889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:21.640894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:22.337432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:20.012870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:20.606064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:21.179921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:21.757019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:22.455239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:20.124072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:20.707229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:21.296587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:21.891739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:22.570357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:20.243204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:20.854328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:21.429939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:22.019098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:22.692036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:20.367213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:20.981232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:21.533825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:22.118306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:22:29.014779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인기지수채널ID인기지수채널명인기지수채널설명인기지수채널생성일자인기지수채널아이콘채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
인기지수채널ID1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널생성일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인기지수채널아이콘1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널인기지수1.0001.0001.0001.0001.0001.0000.9300.4321.0000.9300.4321.000
채널호감도1.0001.0001.0001.0001.0000.9301.0000.4700.9301.0000.4700.966
불호도1.0001.0001.0001.0001.0000.4320.4701.0000.4320.4700.9900.310
인기지수1.0001.0001.0001.0001.0001.0000.9300.4321.0000.9300.4321.000
호감도표준점수1.0001.0001.0001.0001.0000.9301.0000.4700.9301.0000.4700.966
불호도표준점수1.0001.0001.0001.0001.0000.4320.4700.9900.4320.4701.0000.310
인기지수표준점수1.0001.0001.0001.0001.0001.0000.9660.3101.0000.9660.3101.000
2023-12-10T23:22:29.157226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
불호도불호도표준점수
불호도1.0000.909
불호도표준점수0.9091.000
2023-12-10T23:22:29.245465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널인기지수채널호감도인기지수호감도표준점수인기지수표준점수불호도불호도표준점수
채널인기지수1.0000.8461.0000.8550.9990.2660.266
채널호감도0.8461.0000.8430.9910.8400.2960.296
인기지수1.0000.8431.0000.8511.0000.2660.266
호감도표준점수0.8550.9910.8511.0000.8500.2960.296
인기지수표준점수0.9990.8401.0000.8501.0000.2830.283
불호도0.2660.2960.2660.2960.2831.0000.909
불호도표준점수0.2660.2960.2660.2960.2830.9091.000

Missing values

2023-12-10T23:22:22.907681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:22:23.146442image/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.
2023-12-10T23:22:23.328675image/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

인기지수채널ID인기지수채널명인기지수수집일자인기지수채널설명인기지수채널생성일자인기지수채널아이콘인기지수호감도인기지수불호도채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
0UC0G0Z05LATPtpUkxeOrEjOA국토교통부2021-03-31국민과 함께하는 국토교통부 유튜브 채널입니다. 구독하시면 대한민국 세종 정부청사에서 논의 중인 국토 교통 행정에 관한 주요 뉴스와 2020년 최신 아파트; 부동산; KTX; SRT 여행 정보가 업데이트 됩니다. 건강한 디지털 소통을 위해 비방; 욕설; 개인정보; 허위사실; 재판·수사 등 부적절한 내용이 포함된 댓글은 관리자가 삭제 또는 감춤 처리하니 참고하시기 바랍니다.2011-03-09https://yt3.ggpht.com/ytc/AAUvwniEn6P03TNAl3syktcPc5d3MK1V6B54YEWSbVPeSQ=s88-c-k-c0x00ffffff-no-rj0011.57101.12-0.710-0.62
1UC-_Lr5aJ92zDKCJXAQi656A도봉봉TV- 서울특별시 도봉구 공식 유튜브2021-03-31안녕하세요. 여기는 도봉구 공식 유튜브 채널입니다. 주간뉴스는 매주 수요일에 업데이트됩니다^^ 도봉의 다양한 소식을 전해드리겠습니다. 도봉구청 http:www.dobong.go.kr 도봉구청 인터넷방송 http:dbs.dobong.go.kr #서울특별시 #도봉구 #도봉주간뉴스 #도봉구청2014-08-25https://yt3.ggpht.com/ytc/AAUvwnhCdrG38Comny0zf23U2qImEWHD-quM5CD1dILjDA=s88-c-k-c0x00ffffff-no-rj0045.23704.460.2900.11
2UC1dK7oMUSR9Rnk1BSpOKZng정선호2021-03-31<NA>2011-01-10https://yt3.ggpht.com/ytc/AAUvwnjM6IfBlHIH2qM-b94RM8pgmoa9A_ooSqx7CX1NuA=s88-c-k-c0x00ffffff-no-rj0039.38403.88-0.240-0.02
3UC0gAs4OdWWuzS8m8jK7dB5Q강남시니어플라자2021-03-31<NA>2013-03-13https://yt3.ggpht.com/ytc/AAUvwnixLZRptbknHmrsw1Y8ld2KTqSzm7fJewsviyFz=s88-c-k-c0x00ffffff-no-rj005.83100.55-0.820-0.74
4UC1kL6gpiIEmRFTfGkCrQkCw뉴욕판다와 6멍2냥이네NEWYORK PANDA2021-03-31안녕하세요~ 6마리 요크셔테리어 2마리 고양이와 함께 살고 있는 판다입니다 강아지와 고양이와 함께 수제간식도 만들고~ 놀고 싸우고 하고 지내는 이야기 뉴욕에 사는 저의 이야기들을 함께 나누고 싶습니다~ 안녕 우리 자주 만나요2019-06-02https://yt3.ggpht.com/ytc/AAUvwnie_13hhPK5AG0M2c9vrHFaM4MyPYYmLtOwByXTZg=s88-c-k-c0x00ffffff-no-rj0070.743037.04.1210.66
5UC1wjdW8A3HSQMoQeu79-yLw한국항공우주연구원 KARI TV2021-03-31KARI 한국항공우주연구원은 대한민국 항공우주 분야 중심 연구기관으로서 항공우주기술 개발을 통해 국민의 안전한 삶을 보장하고 삶의 질 향상에 기여하는 한편; 항공우주 공간의 확대를 통해 하늘과 우주를 향한 대한민국의 꿈과 가치를 구현해 나가고 있습니다.2011-11-25https://yt3.ggpht.com/ytc/AAUvwnh0lNw_d6sHLQ3Iqm5x3PF7P5STVzMY3jIIQQ5e1w=s88-c-k-c0x00ffffff-no-rj0036.86403.63-0.240-0.07
6UC2RP9LCRt8AkMZAgujPkRjg예순Games2021-03-31종합 게임 영상 채널입니다. Gameplay2011-08-05https://yt3.ggpht.com/ytc/AAUvwngrgCIvsNkis7B3QcBBmFSx_wfkzStP8-VuvRXcTg=s88-c-k-c0x00ffffff-no-rj0029.85302.94-0.410-0.22
7UC2Zi06YjNBM37g8d0IkHPMATVCHOSUN PLUS - TV조선 플러스2021-03-31TV조선 방송 채널에; 더한 클립과; 더한 영상들을 모아둔 더한 채널 TV조선 플러스2019-01-18https://yt3.ggpht.com/ytc/AAUvwnjY6eH-fjYKtywB-VxEEe4vnaqWtTwd4qrVMk-n=s88-c-k-c0x00ffffff-no-rj006.7130.64-0.711-0.72
8UC5Ce1XGat0JJOXcFWZl1jcg달마발 Darlim&Hamabal2021-03-31Welcome; We are Darlim Kim & Hamabal Fan Email : kdl_hmb@naver.com Business Email :kdl_hmb@sandboxnetwork.net2017-12-12https://yt3.ggpht.com/ytc/AAUvwnh1ZXHZZEy0w3HQo7NFV02arHaWg_IGvOwHY5tn=s88-c-k-c0x00ffffff-no-rj0079.38507.86-0.1200.84
9UC6ubsHOCM3Sv8xD67yMm6Eg달콤대도2021-03-31대도서관의 본격 푸드 예능 유튜브★2018-08-03https://yt3.ggpht.com/ytc/AAUvwngiIzSKNlG6Zo1m7xFTHnrBgLonViMx7XgR5T98=s88-c-k-c0x00ffffff-no-rj00105.2513010.431.2401.4
인기지수채널ID인기지수채널명인기지수수집일자인기지수채널설명인기지수채널생성일자인기지수채널아이콘인기지수호감도인기지수불호도채널인기지수채널호감도불호도인기지수호감도표준점수불호도표준점수인기지수표준점수
18UC9Qsk7A_dVWZc6l1FRS8amQ알짜2021-03-31빙구같은 알짜의 게임과 일상이 올라오는 채널2015-04-16https://yt3.ggpht.com/ytc/AAUvwni-xcODXDFSVaYuSXm1opLctOIisiBIOYQxLCNETg=s88-c-k-c0x00ffffff-no-rj0027.66502.72-0.180-0.27
19UC9SZ7d8YtD4C_zWuGCoNM7AJET 10042021-03-31<NA>2019-05-25https://yt3.ggpht.com/ytc/AAUvwnivRGxda6arPMAIEVNCc0yGJbzq-2VgJI1FVuSU=s88-c-k-c0x00ffffff-no-rj00<NA>110<NA>0.880<NA>
20UC9T8wL0qUwhpcKSv73J5dqA모터피디2021-03-31영상으로 만나는 자동차 매거진 - Auto Magazine www.motorpd.com Facebook: facebook.commotorpd Twitter: twitter.commotorpd1 Instagram: instagrammotorpd1 Google+:plus.google.com113593086973172778755about2015-04-23https://yt3.ggpht.com/ytc/AAUvwniiq0iXK2X6mb8aH9pN_hxhPZuIIqU-xfh1aDcWag=s88-c-k-c0x00ffffff-no-rj009.08230.87-0.651-0.67
21UC9a4SPvT4XLn98EMUSD40Eg쪼성환2021-03-31쪼성환이라고 합니다. 영상 한 번만 보세요. 문의:tjdghks3989@naver.com2012-11-27https://yt3.ggpht.com/ytc/AAUvwnht3I66J_uq0gnjx4nHApB0hKL9yAEemaErojT7yQ=s88-c-k-c0x00ffffff-no-rj0020.65202.02-0.530-0.42
22UC9iYGheHksAaocXVcPtcdWgA&A문화연구소2021-03-31우리의 문화유산을 함께 아끼고 누리기위해 운영하는 채널입니다. 좋아요와 구독눌러주신 분들께 영광있으라~~^^2011-02-05https://yt3.ggpht.com/ytc/AAUvwnh4M_X3dr9MYtwL7gEigHy5KoCxWJxzi969D2XEYg=s88-c-k-c0x00ffffff-no-rj006.86100.65-0.820-0.72
23UCAskb2E2ql4WRxERnANDdJw박태민 세팅박2021-03-31스타크래프트 게임 영상을 올리는 채널입니다~ 추후 다른 컨텐츠도 만들어 볼 계획이니 많이 사랑해주세요2011-11-30https://yt3.ggpht.com/ytc/AAUvwngeqUHkTv3Kl-r94KqQDQ6bN7CPam8RUpSv6AmM=s88-c-k-c0x00ffffff-no-rj004.53130.42-0.771-0.77
24UC9mVBtjHNwSltQKTyLF2KXw여니네일 YeoniNail2021-03-31간단하고 쉬운 네일아트 방법과 뷰티를 공유하고싶은 Yeoni입니다! 네일아트 뷰티 리뷰 DIY 비지니스 문의 : yeonime0@gmail.com 인스타그램 : https:www.instagram.comyeoni_nailart @yeoni_nailart2014-11-09https://yt3.ggpht.com/ytc/AAUvwngG0gbKvjL4_TSnCzcY3sn-2O8o3D5Uz8_8e3lo1g=s88-c-k-c0x00ffffff-no-rj0038.67203.81-0.530-0.03
25UCB-_erKKoU9nM5Z4tm4O4fw주시옹 자연을 담다2021-03-31자연의 아름다움을 노래와 함께 담았습니다. 멍 때리고 보기 좋은 채널입니다.2012-09-04https://yt3.ggpht.com/ytc/AAUvwngHEt5jW70a3TqdXfcIsNUDVBWvuRq9knSSC3YD=s88-c-k-c0x00ffffff-no-rj006.89330.65-0.351-0.72
26UCB3q-dSjxm5JkfH7Q8V8_-Q케차2021-03-31테일즈런너 동영상을 주로 업로드 합니다. [문의] 저작권 & 건의사항 문의: zpck_@naver.com2012-02-01https://yt3.ggpht.com/ytc/AAUvwnji_syQv_UouAYaOnHanczi7Tq-bTqCZYvQVErRiQ=s88-c-k-c0x00ffffff-no-rj0014.36201.4-0.530-0.56
27UCBHPMXWzZa4RylJ7JbzGsvw까꿍이와개세mr리들2021-03-31반려동물과 함께하는 까꿍이의 일상을 여러분들께 공개합니다!! 까꿍의 공식 반려동물 YOUTUBE 채널 입니다. 타투; 꿍찌;백설!! 반려동물과 언제나 함께하는 까꿍이가 되겠습니다. 까둥이들 사랑합니다 구둑자210;0000명 정말 정말 감사합니다!!! +==================+ ★ 까꿍 새로운이야기 https:www.youtube.comchannelUCL5_pSpcBcT4qySMtB97eMQ 구독하기 https:www.youtube.comchannelUCBHPMXWzZa4RylJ7JbzGsvw?sub_confirmation=1 +==================+2014-12-29https://yt3.ggpht.com/ytc/AAUvwniZvJU84Wa5KAQrpGGopjVTpY6oVp19plZpKRBsSQ=s88-c-k-c0x00ffffff-no-rj0010.09100.97-0.710-0.65