Overview

Dataset statistics

Number of variables12
Number of observations25
Missing cells13
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory96.3 B

Variable types

Text6
Categorical3
DateTime1
Numeric1
Boolean1

Dataset

Description샘플 데이터
Author한양대
URLhttps://bigdata-region.kr/#/dataset/8bf3c3fa-8e81-445e-8e20-a6986839bd48

Alerts

채널수집일자 has constant value ""Constant
채널구독자수 is highly overall correlated with 채널국가High correlation
채널국가 is highly overall correlated with 채널구독자수High correlation
채널국가 is highly imbalanced (59.6%)Imbalance
채널채널설명 has 2 (8.0%) missing valuesMissing
채널채널키워드명 has 4 (16.0%) missing valuesMissing
영상 has 7 (28.0%) missing valuesMissing
채널채널경로명 has unique valuesUnique
채널채널생성일자 has unique valuesUnique
채널아이콘 has unique valuesUnique
채널채널명 has unique valuesUnique
채널구독자수 has 5 (20.0%) zerosZeros

Reproduction

Analysis started2023-12-10 13:58:35.443139
Analysis finished2023-12-10 13:58:37.416104
Duration1.97 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

채널채널경로명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T22:58:37.885275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length56
Mean length56
Min length56

Characters and Unicode

Total characters1400
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st rowhttps://www.youtube.com/channel/UC5006syG8ddVGFvwx9OziKw
2nd rowhttps://www.youtube.com/channel/UCRltyg0qbcn4Hf06td9wC3g
3rd rowhttps://www.youtube.com/channel/UCFqHmLB5eiW7nSXk8a2ofZw
4th rowhttps://www.youtube.com/channel/UCJa3a6Te2JncMHTwXYn5clw
5th rowhttps://www.youtube.com/channel/UCD_GS8VmhbRvNrCn3plPX9A
ValueCountFrequency (%)
https://www.youtube.com/channel/uc5006syg8ddvgfvwx9ozikw 1
 
4.0%
https://www.youtube.com/channel/uc9kmldcqksaonckc_qzgaca 1
 
4.0%
https://www.youtube.com/channel/ucsb1bd-bainv1er3k3trptw 1
 
4.0%
https://www.youtube.com/channel/ucxlmtsqspgk5d359rejoedw 1
 
4.0%
https://www.youtube.com/channel/uchgp9yktrgw5kv1ak2ndxjw 1
 
4.0%
https://www.youtube.com/channel/ucm3pmyysluggigxk6m6dm-w 1
 
4.0%
https://www.youtube.com/channel/uc1do3xw9ouuk7fquptmsvow 1
 
4.0%
https://www.youtube.com/channel/ucwrxqw4hrggw10wupm15s6q 1
 
4.0%
https://www.youtube.com/channel/uct_sf9z6cqy11vhofbnqpnq 1
 
4.0%
https://www.youtube.com/channel/ucmtu3nys7orxwcyw0kcxraa 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T22:58:38.566089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 100
 
7.1%
w 100
 
7.1%
t 85
 
6.1%
n 64
 
4.6%
u 58
 
4.1%
c 58
 
4.1%
o 57
 
4.1%
e 57
 
4.1%
h 55
 
3.9%
. 50
 
3.6%
Other values (57) 716
51.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 860
61.4%
Uppercase Letter 264
 
18.9%
Other Punctuation 175
 
12.5%
Decimal Number 87
 
6.2%
Connector Punctuation 8
 
0.6%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 100
 
11.6%
t 85
 
9.9%
n 64
 
7.4%
u 58
 
6.7%
c 58
 
6.7%
o 57
 
6.6%
e 57
 
6.6%
h 55
 
6.4%
s 39
 
4.5%
a 37
 
4.3%
Other values (16) 250
29.1%
Uppercase Letter
ValueCountFrequency (%)
C 36
 
13.6%
U 31
 
11.7%
G 14
 
5.3%
O 12
 
4.5%
D 12
 
4.5%
Q 12
 
4.5%
V 11
 
4.2%
H 11
 
4.2%
S 10
 
3.8%
X 10
 
3.8%
Other values (16) 105
39.8%
Decimal Number
ValueCountFrequency (%)
5 11
12.6%
9 11
12.6%
6 11
12.6%
1 10
11.5%
3 10
11.5%
7 8
9.2%
8 8
9.2%
0 7
8.0%
4 6
6.9%
2 5
5.7%
Other Punctuation
ValueCountFrequency (%)
/ 100
57.1%
. 50
28.6%
: 25
 
14.3%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1124
80.3%
Common 276
 
19.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 100
 
8.9%
t 85
 
7.6%
n 64
 
5.7%
u 58
 
5.2%
c 58
 
5.2%
o 57
 
5.1%
e 57
 
5.1%
h 55
 
4.9%
s 39
 
3.5%
a 37
 
3.3%
Other values (42) 514
45.7%
Common
ValueCountFrequency (%)
/ 100
36.2%
. 50
18.1%
: 25
 
9.1%
5 11
 
4.0%
9 11
 
4.0%
6 11
 
4.0%
1 10
 
3.6%
3 10
 
3.6%
7 8
 
2.9%
_ 8
 
2.9%
Other values (5) 32
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 100
 
7.1%
w 100
 
7.1%
t 85
 
6.1%
n 64
 
4.6%
u 58
 
4.1%
c 58
 
4.1%
o 57
 
4.1%
e 57
 
4.1%
h 55
 
3.9%
. 50
 
3.6%
Other values (57) 716
51.1%

채널수집일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2021-09-01
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-01
2nd row2021-09-01
3rd row2021-09-01
4th row2021-09-01
5th row2021-09-01

Common Values

ValueCountFrequency (%)
2021-09-01 25
100.0%

Length

2023-12-10T22:58:38.780092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:38.916225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-01 25
100.0%

채널채널생성일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2011-05-18 00:00:00
Maximum2020-02-17 00:00:00
2023-12-10T22:58:39.044223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:58:39.218131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

채널아이콘
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T22:58:39.673795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length98
Mean length101.32
Min length96

Characters and Unicode

Total characters2533
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowhttps://yt3.ggpht.com/ytc/AKedOLT6v6f6EvNtuKyNn1E4u2_ovcHxcD90szhPIL1_vQ=s88-c-k-c0x00ffffff-no-rj
2nd rowhttps://yt3.ggpht.com/ytc/AKedOLTdzPsPOu4vwMqkyalGn0wnwy1dpUefPHERXltu=s88-c-k-c0x00ffffff-no-rj
3rd rowhttps://yt3.ggpht.com/ytc/AKedOLQnnJjMnGkAvd-2716RZ9R31TbVp4w_hZvSk6bN=s88-c-k-c0x00ffffff-no-rj
4th rowhttps://yt3.ggpht.com/ytc/AKedOLS89gFhsRrPiWFSLDE1Bs-Sg6TOMrCsIgLG_bx7=s88-c-k-c0x00ffffff-no-rj
5th rowhttps://yt3.ggpht.com/ytc/AKedOLSZETbbE2lL_PrTWoXoI2Ay9Iw9Nr_4rSBw3138=s88-c-k-c0x00ffffff-no-rj
ValueCountFrequency (%)
https://yt3.ggpht.com/ytc/akedolt6v6f6evntukynn1e4u2_ovchxcd90szhpil1_vq=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolrgi5sw16chfoqhxskul2ci5n7rag64lc6u-zu6pg=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolqwtnr99mh3vvdffct_rm1vxkusb4vp85popkqf=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolqome4jneyzrnnwjvz7vsnkire7e_i2tugnlhwd9q=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/y_ioxqsrbcwxvbk9uii1dikhvtk7jt2hyxt3n9e5t2fsab3kxsinlylwtuibloxs0bjsp0n9_uq=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/af3ueykf9ev-tki6s4klg0dj-btppykj8hjd6aiutk_pzfp2ykg8mng_eaj6ksl3g_g5jkghaw=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolrnx42u-xkl-eaolw8xx8bebzs3sua2edgizjgznw=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolteeltkrtix4us4010qxmit13dsqa5ceudja92ijg=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolqps9mmdsinzjdga2rl7vvosgstuxrtft2pipi-mw=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
https://yt3.ggpht.com/ytc/akedolrxffffn6nvtwhlbtypozyakkoucg4jjby7p9mwhw=s88-c-k-c0x00ffffff-no-rj 1
 
4.0%
Other values (15) 15
60.0%
2023-12-10T22:58:40.407134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
f 165
 
6.5%
t 141
 
5.6%
- 138
 
5.4%
c 107
 
4.2%
/ 96
 
3.8%
0 92
 
3.6%
g 79
 
3.1%
s 75
 
3.0%
h 66
 
2.6%
o 65
 
2.6%
Other values (58) 1509
59.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1293
51.0%
Uppercase Letter 558
22.0%
Decimal Number 333
 
13.1%
Other Punctuation 171
 
6.8%
Dash Punctuation 138
 
5.4%
Math Symbol 25
 
1.0%
Connector Punctuation 15
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
f 165
 
12.8%
t 141
 
10.9%
c 107
 
8.3%
g 79
 
6.1%
s 75
 
5.8%
h 66
 
5.1%
o 65
 
5.0%
p 64
 
4.9%
y 59
 
4.6%
n 49
 
3.8%
Other values (16) 423
32.7%
Uppercase Letter
ValueCountFrequency (%)
K 45
 
8.1%
A 43
 
7.7%
L 37
 
6.6%
O 31
 
5.6%
T 27
 
4.8%
X 24
 
4.3%
S 24
 
4.3%
I 24
 
4.3%
Q 23
 
4.1%
U 20
 
3.6%
Other values (16) 260
46.6%
Decimal Number
ValueCountFrequency (%)
0 92
27.6%
8 64
19.2%
3 42
12.6%
4 27
 
8.1%
6 25
 
7.5%
9 20
 
6.0%
1 20
 
6.0%
2 19
 
5.7%
7 14
 
4.2%
5 10
 
3.0%
Other Punctuation
ValueCountFrequency (%)
/ 96
56.1%
. 50
29.2%
: 25
 
14.6%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Math Symbol
ValueCountFrequency (%)
= 25
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1851
73.1%
Common 682
 
26.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
f 165
 
8.9%
t 141
 
7.6%
c 107
 
5.8%
g 79
 
4.3%
s 75
 
4.1%
h 66
 
3.6%
o 65
 
3.5%
p 64
 
3.5%
y 59
 
3.2%
n 49
 
2.6%
Other values (42) 981
53.0%
Common
ValueCountFrequency (%)
- 138
20.2%
/ 96
14.1%
0 92
13.5%
8 64
9.4%
. 50
 
7.3%
3 42
 
6.2%
4 27
 
4.0%
6 25
 
3.7%
: 25
 
3.7%
= 25
 
3.7%
Other values (6) 98
14.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2533
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
f 165
 
6.5%
t 141
 
5.6%
- 138
 
5.4%
c 107
 
4.2%
/ 96
 
3.8%
0 92
 
3.6%
g 79
 
3.1%
s 75
 
3.0%
h 66
 
2.6%
o 65
 
2.6%
Other values (58) 1509
59.6%

채널채널설명
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing2
Missing (%)8.0%
Memory size332.0 B
2023-12-10T22:58:40.843938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length835
Median length108
Mean length170.47826
Min length27

Characters and Unicode

Total characters3921
Distinct characters416
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row소나무공인중개사사무소 대표 : 정은호 경기도 광주시 퇴촌면 천진암로385 Tel : 031-765-0700
2nd row성동이동보조기기수리센터 수리기술관련 동영상을 업로드 하였습니다. 성동이동보조기기수리센터는 성동장애인종합복지관이 운영하고 있습니다 (성동이동보조기기센터 = 수리센터 + 수리교육장을 가지고 있는 센터입니다) 많은분들이 이동보조기기수리기술에 대한 관심을 갖고 계시고 이런 부분에 조금이나마 도움을 드리고자 제작하게되었습니다. 내용상에 궁금한점이 있으시다면 수리센터 02-2290-3140으로 연락주시면 감사드리겠습니다. 성동장애인종합복지관 홈페이지 www.omni.or.kr
3rd row리뷰 채널입니다 네이버 블로그 : http:blog.naver.comha_tak 인스타그램 : https:www.instagram.comreviewvillein 비즈니스 문의 : ha_tak@naver.com
4th row1004섬 신안군의 다양한 모습을 보실수 있습니다
5th row전시 및 문의 - tmddnjs9291@naver.com 인스타그램-https:www.instagram.comygr9291
ValueCountFrequency (%)
60
 
9.5%
유튜브 6
 
1.0%
공식 6
 
1.0%
채널입니다 5
 
0.8%
female 5
 
0.8%
name 4
 
0.6%
인스타그램 4
 
0.6%
♥ 4
 
0.6%
공무원연금공단 4
 
0.6%
할인 4
 
0.6%
Other values (454) 528
83.8%
2023-12-10T22:58:41.908543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
775
 
19.8%
e 122
 
3.1%
o 116
 
3.0%
a 90
 
2.3%
t 82
 
2.1%
r 76
 
1.9%
: 72
 
1.8%
i 68
 
1.7%
. 66
 
1.7%
n 61
 
1.6%
Other values (406) 2393
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1370
34.9%
Lowercase Letter 1124
28.7%
Space Separator 775
19.8%
Other Punctuation 228
 
5.8%
Decimal Number 145
 
3.7%
Uppercase Letter 114
 
2.9%
Dash Punctuation 57
 
1.5%
Close Punctuation 42
 
1.1%
Open Punctuation 40
 
1.0%
Math Symbol 10
 
0.3%
Other values (4) 16
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 48
 
3.5%
니 27
 
2.0%
기 25
 
1.8%
다 25
 
1.8%
하 22
 
1.6%
주 20
 
1.5%
리 20
 
1.5%
고 19
 
1.4%
인 19
 
1.4%
공 17
 
1.2%
Other values (323) 1128
82.3%
Lowercase Letter
ValueCountFrequency (%)
e 122
 
10.9%
o 116
 
10.3%
a 90
 
8.0%
t 82
 
7.3%
r 76
 
6.8%
i 68
 
6.0%
n 61
 
5.4%
m 60
 
5.3%
l 58
 
5.2%
s 45
 
4.0%
Other values (16) 346
30.8%
Uppercase Letter
ValueCountFrequency (%)
S 16
14.0%
T 12
 
10.5%
B 10
 
8.8%
F 9
 
7.9%
A 7
 
6.1%
C 7
 
6.1%
M 7
 
6.1%
D 5
 
4.4%
N 5
 
4.4%
P 5
 
4.4%
Other values (12) 31
27.2%
Decimal Number
ValueCountFrequency (%)
0 32
22.1%
1 29
20.0%
2 25
17.2%
9 16
11.0%
4 12
 
8.3%
3 9
 
6.2%
5 8
 
5.5%
8 6
 
4.1%
7 5
 
3.4%
6 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
: 72
31.6%
. 66
28.9%
; 28
 
12.3%
! 16
 
7.0%
# 16
 
7.0%
' 16
 
7.0%
@ 12
 
5.3%
& 1
 
0.4%
? 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
⊙ 4
40.0%
= 2
20.0%
~ 2
20.0%
× 1
 
10.0%
+ 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 37
88.1%
] 5
 
11.9%
Open Punctuation
ValueCountFrequency (%)
( 35
87.5%
[ 5
 
12.5%
Other Symbol
ValueCountFrequency (%)
♥ 5
83.3%
♡ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1370
34.9%
Common 1313
33.5%
Latin 1238
31.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 48
 
3.5%
니 27
 
2.0%
기 25
 
1.8%
다 25
 
1.8%
하 22
 
1.6%
주 20
 
1.5%
리 20
 
1.5%
고 19
 
1.4%
인 19
 
1.4%
공 17
 
1.2%
Other values (323) 1128
82.3%
Latin
ValueCountFrequency (%)
e 122
 
9.9%
o 116
 
9.4%
a 90
 
7.3%
t 82
 
6.6%
r 76
 
6.1%
i 68
 
5.5%
n 61
 
4.9%
m 60
 
4.8%
l 58
 
4.7%
s 45
 
3.6%
Other values (38) 460
37.2%
Common
ValueCountFrequency (%)
775
59.0%
: 72
 
5.5%
. 66
 
5.0%
- 57
 
4.3%
) 37
 
2.8%
( 35
 
2.7%
0 32
 
2.4%
1 29
 
2.2%
; 28
 
2.1%
2 25
 
1.9%
Other values (25) 157
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2538
64.7%
Hangul 1364
34.8%
Misc Symbols 6
 
0.2%
Compat Jamo 6
 
0.2%
Math Operators 4
 
0.1%
Punctuation 2
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
775
30.5%
e 122
 
4.8%
o 116
 
4.6%
a 90
 
3.5%
t 82
 
3.2%
r 76
 
3.0%
: 72
 
2.8%
i 68
 
2.7%
. 66
 
2.6%
n 61
 
2.4%
Other values (68) 1010
39.8%
Hangul
ValueCountFrequency (%)
이 48
 
3.5%
니 27
 
2.0%
기 25
 
1.8%
다 25
 
1.8%
하 22
 
1.6%
주 20
 
1.5%
리 20
 
1.5%
고 19
 
1.4%
인 19
 
1.4%
공 17
 
1.2%
Other values (319) 1122
82.3%
Misc Symbols
ValueCountFrequency (%)
♥ 5
83.3%
♡ 1
 
16.7%
Math Operators
ValueCountFrequency (%)
⊙ 4
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 2
33.3%
ㄷ 2
33.3%
ㅋ 1
16.7%
ㅡ 1
16.7%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
None
ValueCountFrequency (%)
× 1
100.0%

채널채널범주명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
MCN
17 
공공기관
8 

Length

Max length4
Median length3
Mean length3.32
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMCN
2nd row공공기관
3rd rowMCN
4th row공공기관
5th row공공기관

Common Values

ValueCountFrequency (%)
MCN 17
68.0%
공공기관 8
32.0%

Length

2023-12-10T22:58:42.180312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:42.354962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mcn 17
68.0%
공공기관 8
32.0%

채널채널명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-10T22:58:42.712544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.96
Min length2

Characters and Unicode

Total characters224
Distinct characters120
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row콕 찍어주는소나무부동산
2nd row성동장복이동보조기기기술교육유튜브
3rd row리뷰빌런
4th row1004섬신안
5th row청신호tv
ValueCountFrequency (%)
콕 1
 
2.7%
한국해양수산개발원 1
 
2.7%
노리nori 1
 
2.7%
비콘 1
 
2.7%
tv 1
 
2.7%
alien 1
 
2.7%
being 1
 
2.7%
지식보관소 1
 
2.7%
개밍순 1
 
2.7%
dogmingsoon 1
 
2.7%
Other values (27) 27
73.0%
2023-12-10T22:58:43.385070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
5.4%
o 7
 
3.1%
e 6
 
2.7%
n 6
 
2.7%
i 5
 
2.2%
A 4
 
1.8%
V 4
 
1.8%
T 4
 
1.8%
a 4
 
1.8%
공 4
 
1.8%
Other values (110) 168
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117
52.2%
Lowercase Letter 52
23.2%
Uppercase Letter 37
 
16.5%
Space Separator 12
 
5.4%
Decimal Number 5
 
2.2%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 4
 
3.4%
산 4
 
3.4%
원 4
 
3.4%
신 3
 
2.6%
국 3
 
2.6%
보 3
 
2.6%
기 3
 
2.6%
동 3
 
2.6%
주 3
 
2.6%
비 2
 
1.7%
Other values (70) 85
72.6%
Lowercase Letter
ValueCountFrequency (%)
o 7
13.5%
e 6
11.5%
n 6
11.5%
i 5
9.6%
a 4
 
7.7%
t 3
 
5.8%
l 3
 
5.8%
g 3
 
5.8%
r 2
 
3.8%
k 2
 
3.8%
Other values (9) 11
21.2%
Uppercase Letter
ValueCountFrequency (%)
A 4
10.8%
V 4
10.8%
T 4
10.8%
S 3
8.1%
M 3
8.1%
I 3
8.1%
R 3
8.1%
P 2
 
5.4%
B 2
 
5.4%
D 2
 
5.4%
Other values (6) 7
18.9%
Decimal Number
ValueCountFrequency (%)
0 3
60.0%
4 1
 
20.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
52.2%
Latin 89
39.7%
Common 18
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 4
 
3.4%
산 4
 
3.4%
원 4
 
3.4%
신 3
 
2.6%
국 3
 
2.6%
보 3
 
2.6%
기 3
 
2.6%
동 3
 
2.6%
주 3
 
2.6%
비 2
 
1.7%
Other values (70) 85
72.6%
Latin
ValueCountFrequency (%)
o 7
 
7.9%
e 6
 
6.7%
n 6
 
6.7%
i 5
 
5.6%
A 4
 
4.5%
V 4
 
4.5%
T 4
 
4.5%
a 4
 
4.5%
t 3
 
3.4%
l 3
 
3.4%
Other values (25) 43
48.3%
Common
ValueCountFrequency (%)
12
66.7%
0 3
 
16.7%
- 1
 
5.6%
4 1
 
5.6%
1 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117
52.2%
ASCII 107
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
 
11.2%
o 7
 
6.5%
e 6
 
5.6%
n 6
 
5.6%
i 5
 
4.7%
A 4
 
3.7%
V 4
 
3.7%
T 4
 
3.7%
a 4
 
3.7%
t 3
 
2.8%
Other values (30) 52
48.6%
Hangul
ValueCountFrequency (%)
공 4
 
3.4%
산 4
 
3.4%
원 4
 
3.4%
신 3
 
2.6%
국 3
 
2.6%
보 3
 
2.6%
기 3
 
2.6%
동 3
 
2.6%
주 3
 
2.6%
비 2
 
1.7%
Other values (70) 85
72.6%

채널구독자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean386315.72
Minimum0
Maximum3340000
Zeros5
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-10T22:58:43.628965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12050
median22400
Q3302000
95-th percentile2024000
Maximum3340000
Range3340000
Interquartile range (IQR)299950

Descriptive statistics

Standard deviation805936.27
Coefficient of variation (CV)2.0862114
Kurtosis7.8389618
Mean386315.72
Median Absolute Deviation (MAD)22400
Skewness2.780086
Sum9657893
Variance6.4953327 × 1011
MonotonicityNot monotonic
2023-12-10T22:58:43.873008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5
20.0%
15700 2
 
8.0%
6540 1
 
4.0%
2530 1
 
4.0%
2050 1
 
4.0%
40800 1
 
4.0%
103000 1
 
4.0%
302000 1
 
4.0%
3340000 1
 
4.0%
298000 1
 
4.0%
Other values (10) 10
40.0%
ValueCountFrequency (%)
0 5
20.0%
193 1
 
4.0%
2050 1
 
4.0%
2530 1
 
4.0%
6540 1
 
4.0%
8380 1
 
4.0%
15700 2
 
8.0%
22400 1
 
4.0%
30600 1
 
4.0%
40800 1
 
4.0%
ValueCountFrequency (%)
3340000 1
4.0%
2230000 1
4.0%
1200000 1
4.0%
1120000 1
4.0%
367000 1
4.0%
363000 1
4.0%
302000 1
4.0%
298000 1
4.0%
190000 1
4.0%
103000 1
4.0%

구독자수비공개정보
Boolean

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size182.0 B
False
20 
True
5 
ValueCountFrequency (%)
False 20
80.0%
True 5
 
20.0%
2023-12-10T22:58:44.179219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

채널국가
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
KR
22 
<NA>
 
2
GB
 
1

Length

Max length4
Median length2
Mean length2.16
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
KR 22
88.0%
<NA> 2
 
8.0%
GB 1
 
4.0%

Length

2023-12-10T22:58:44.442065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:58:44.794063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kr 22
88.0%
na 2
 
8.0%
gb 1
 
4.0%

채널채널키워드명
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing4
Missing (%)16.0%
Memory size332.0 B
2023-12-10T22:58:45.389035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length287
Median length49
Mean length59.285714
Min length5

Characters and Unicode

Total characters1245
Distinct characters244
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row양평전원주택 퇴촌전원주택 양평부동산 퇴촌부동산 양평급매물 퇴촌급매물
2nd row신안군 전라남도 신안군청 신안 전라남도신안 퍼플섬 보라섬 반월도 박지도 반월박지도 기점소악도 천사대교 설레미 우도 엘도라도 염전 대파 양파 왕새우 흰다리새우 김 돌김 파래김 우럭 홍어 건정 낙지 뻘 갯벌 바다 섬 여행 관광 투어 선도 수선화 튤립 임자도 임자 섬 섬관광 섬여행 신안섬 수산물 해안 바다 갯벌 많은섬 천사섬 천사 섬 전남 신안 퍼플섬 마을상생 상생 마을 시골 고향 그리움 기점도 소악도 섬티아고
3rd row서울주택도시공사 SH공사 SH 청신호 청신호주택 청신호프로젝트 행복주택 임대주택 국민임대 공공임대 부동산 청년주택
4th row리화거북이
5th rowGabiekook 국가비 레시피 국가비 레시피 원팬 gabiekook recipe gabie 조가비 josh and gabie koreanenglishman jolly 영국남자 졸리 조쉬 국가비 recipe one pan recipe Gabie gabby gaby Gabie french Gabie spanish 국가비 스페니쉬 국가비 불어 마스터셰프 master chef korea vlog london vlog cooking vlog what i eat in a week what i eat in a day
ValueCountFrequency (%)
vlog 5
 
2.0%
gabie 5
 
2.0%
국가비 5
 
2.0%
먹방 3
 
1.2%
mukbang 3
 
1.2%
섬 3
 
1.2%
recipe 3
 
1.2%
리뷰 2
 
0.8%
gabiekook 2
 
0.8%
여행 2
 
0.8%
Other values (210) 223
87.1%
2023-12-10T22:58:46.352932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
 
19.0%
e 46
 
3.7%
o 42
 
3.4%
a 40
 
3.2%
i 32
 
2.6%
n 29
 
2.3%
g 24
 
1.9%
l 22
 
1.8%
r 22
 
1.8%
s 16
 
1.3%
Other values (234) 735
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 576
46.3%
Lowercase Letter 397
31.9%
Space Separator 237
19.0%
Uppercase Letter 34
 
2.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 14
 
2.4%
리 14
 
2.4%
주 14
 
2.4%
이 13
 
2.3%
섬 12
 
2.1%
산 10
 
1.7%
국 10
 
1.7%
안 10
 
1.7%
신 9
 
1.6%
가 8
 
1.4%
Other values (192) 462
80.2%
Lowercase Letter
ValueCountFrequency (%)
e 46
11.6%
o 42
 
10.6%
a 40
 
10.1%
i 32
 
8.1%
n 29
 
7.3%
g 24
 
6.0%
l 22
 
5.5%
r 22
 
5.5%
s 16
 
4.0%
b 15
 
3.8%
Other values (14) 109
27.5%
Uppercase Letter
ValueCountFrequency (%)
G 5
14.7%
M 4
11.8%
B 4
11.8%
S 3
8.8%
K 3
8.8%
R 2
 
5.9%
I 2
 
5.9%
A 2
 
5.9%
H 2
 
5.9%
J 1
 
2.9%
Other values (6) 6
17.6%
Space Separator
ValueCountFrequency (%)
237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 576
46.3%
Latin 431
34.6%
Common 238
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 14
 
2.4%
리 14
 
2.4%
주 14
 
2.4%
이 13
 
2.3%
섬 12
 
2.1%
산 10
 
1.7%
국 10
 
1.7%
안 10
 
1.7%
신 9
 
1.6%
가 8
 
1.4%
Other values (192) 462
80.2%
Latin
ValueCountFrequency (%)
e 46
 
10.7%
o 42
 
9.7%
a 40
 
9.3%
i 32
 
7.4%
n 29
 
6.7%
g 24
 
5.6%
l 22
 
5.1%
r 22
 
5.1%
s 16
 
3.7%
b 15
 
3.5%
Other values (30) 143
33.2%
Common
ValueCountFrequency (%)
237
99.6%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 669
53.7%
Hangul 576
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
35.4%
e 46
 
6.9%
o 42
 
6.3%
a 40
 
6.0%
i 32
 
4.8%
n 29
 
4.3%
g 24
 
3.6%
l 22
 
3.3%
r 22
 
3.3%
s 16
 
2.4%
Other values (32) 159
23.8%
Hangul
ValueCountFrequency (%)
도 14
 
2.4%
리 14
 
2.4%
주 14
 
2.4%
이 13
 
2.3%
섬 12
 
2.1%
산 10
 
1.7%
국 10
 
1.7%
안 10
 
1.7%
신 9
 
1.6%
가 8
 
1.4%
Other values (192) 462
80.2%

영상
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing7
Missing (%)28.0%
Memory size332.0 B
2023-12-10T22:58:46.873273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters198
Distinct characters62
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

Unique18 ?
Unique (%)100.0%

Sample

1st rowZlEghNV_dQQ
2nd row9eBKoCVHt3w
3rd rowcgQhU2pzqjc
4th rowaN-7_Zr1c4Q
5th rowvE6wsuoB9ac
ValueCountFrequency (%)
zleghnv_dqq 1
 
5.6%
9ebkocvht3w 1
 
5.6%
a9hyrgu07jq 1
 
5.6%
wwetmdnttfi 1
 
5.6%
td9oaiq5dvg 1
 
5.6%
stq-uryo5js 1
 
5.6%
mcsc8nonrps 1
 
5.6%
fqql_jkrq58 1
 
5.6%
csygqm-rjv4 1
 
5.6%
otcoenyvwt4 1
 
5.6%
Other values (8) 8
44.4%
2023-12-10T22:58:47.368122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
Q 8
 
4.0%
s 6
 
3.0%
t 6
 
3.0%
C 6
 
3.0%
o 6
 
3.0%
c 6
 
3.0%
E 6
 
3.0%
V 5
 
2.5%
4 5
 
2.5%
q 5
 
2.5%
Other values (52) 139
70.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 81
40.9%
Uppercase Letter 75
37.9%
Decimal Number 35
17.7%
Connector Punctuation 4
 
2.0%
Dash Punctuation 3
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Q 8
 
10.7%
C 6
 
8.0%
E 6
 
8.0%
V 5
 
6.7%
U 5
 
6.7%
Y 4
 
5.3%
D 4
 
5.3%
N 3
 
4.0%
P 3
 
4.0%
G 3
 
4.0%
Other values (15) 28
37.3%
Lowercase Letter
ValueCountFrequency (%)
s 6
 
7.4%
t 6
 
7.4%
o 6
 
7.4%
c 6
 
7.4%
q 5
 
6.2%
r 4
 
4.9%
w 4
 
4.9%
j 4
 
4.9%
g 4
 
4.9%
v 3
 
3.7%
Other values (15) 33
40.7%
Decimal Number
ValueCountFrequency (%)
4 5
14.3%
5 5
14.3%
8 5
14.3%
7 4
11.4%
1 4
11.4%
9 4
11.4%
3 3
8.6%
6 2
 
5.7%
2 2
 
5.7%
0 1
 
2.9%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 156
78.8%
Common 42
 
21.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
Q 8
 
5.1%
s 6
 
3.8%
t 6
 
3.8%
C 6
 
3.8%
o 6
 
3.8%
c 6
 
3.8%
E 6
 
3.8%
V 5
 
3.2%
q 5
 
3.2%
U 5
 
3.2%
Other values (40) 97
62.2%
Common
ValueCountFrequency (%)
4 5
11.9%
5 5
11.9%
8 5
11.9%
7 4
9.5%
1 4
9.5%
9 4
9.5%
_ 4
9.5%
3 3
7.1%
- 3
7.1%
6 2
 
4.8%
Other values (2) 3
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
Q 8
 
4.0%
s 6
 
3.0%
t 6
 
3.0%
C 6
 
3.0%
o 6
 
3.0%
c 6
 
3.0%
E 6
 
3.0%
V 5
 
2.5%
4 5
 
2.5%
q 5
 
2.5%
Other values (52) 139
70.2%

Interactions

2023-12-10T22:58:36.540249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:58:47.913720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널채널경로명채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
채널채널경로명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널채널생성일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널아이콘1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널채널설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널채널범주명1.0001.0001.0001.0001.0001.0000.0000.0000.0001.0001.000
채널채널명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
채널구독자수1.0001.0001.0001.0000.0001.0001.0000.0000.8361.0001.000
구독자수비공개정보1.0001.0001.0001.0000.0001.0000.0001.0000.0001.0001.000
채널국가1.0001.0001.0001.0000.0001.0000.8360.0001.0001.000NaN
채널채널키워드명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
영상1.0001.0001.0001.0001.0001.0001.0001.000NaN1.0001.000
2023-12-10T22:58:48.214523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널국가채널채널범주명구독자수비공개정보
채널국가1.0000.0000.000
채널채널범주명0.0001.0000.000
구독자수비공개정보0.0000.0001.000
2023-12-10T22:58:48.369348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널구독자수채널채널범주명구독자수비공개정보채널국가
채널구독자수1.0000.0000.0000.598
채널채널범주명0.0001.0000.0000.000
구독자수비공개정보0.0000.0001.0000.000
채널국가0.5980.0000.0001.000

Missing values

2023-12-10T22:58:36.833367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:58:37.137821image/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.
2023-12-10T22:58:37.318850image/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

채널채널경로명채널수집일자채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
0https://www.youtube.com/channel/UC5006syG8ddVGFvwx9OziKw2021-09-012018-05-22https://yt3.ggpht.com/ytc/AKedOLT6v6f6EvNtuKyNn1E4u2_ovcHxcD90szhPIL1_vQ=s88-c-k-c0x00ffffff-no-rj소나무공인중개사사무소 대표 : 정은호 경기도 광주시 퇴촌면 천진암로385 Tel : 031-765-0700MCN콕 찍어주는소나무부동산6540False<NA>양평전원주택 퇴촌전원주택 양평부동산 퇴촌부동산 양평급매물 퇴촌급매물<NA>
1https://www.youtube.com/channel/UCRltyg0qbcn4Hf06td9wC3g2021-09-012013-08-21https://yt3.ggpht.com/ytc/AKedOLTdzPsPOu4vwMqkyalGn0wnwy1dpUefPHERXltu=s88-c-k-c0x00ffffff-no-rj성동이동보조기기수리센터 수리기술관련 동영상을 업로드 하였습니다. 성동이동보조기기수리센터는 성동장애인종합복지관이 운영하고 있습니다 (성동이동보조기기센터 = 수리센터 + 수리교육장을 가지고 있는 센터입니다) 많은분들이 이동보조기기수리기술에 대한 관심을 갖고 계시고 이런 부분에 조금이나마 도움을 드리고자 제작하게되었습니다. 내용상에 궁금한점이 있으시다면 수리센터 02-2290-3140으로 연락주시면 감사드리겠습니다. 성동장애인종합복지관 홈페이지 www.omni.or.kr공공기관성동장복이동보조기기기술교육유튜브193FalseKR<NA><NA>
2https://www.youtube.com/channel/UCFqHmLB5eiW7nSXk8a2ofZw2021-09-012013-11-17https://yt3.ggpht.com/ytc/AKedOLQnnJjMnGkAvd-2716RZ9R31TbVp4w_hZvSk6bN=s88-c-k-c0x00ffffff-no-rj리뷰 채널입니다 네이버 블로그 : http:blog.naver.comha_tak 인스타그램 : https:www.instagram.comreviewvillein 비즈니스 문의 : ha_tak@naver.comMCN리뷰빌런8380FalseKR<NA><NA>
3https://www.youtube.com/channel/UCJa3a6Te2JncMHTwXYn5clw2021-09-012016-01-13https://yt3.ggpht.com/ytc/AKedOLS89gFhsRrPiWFSLDE1Bs-Sg6TOMrCsIgLG_bx7=s88-c-k-c0x00ffffff-no-rj1004섬 신안군의 다양한 모습을 보실수 있습니다공공기관1004섬신안0TrueKR신안군 전라남도 신안군청 신안 전라남도신안 퍼플섬 보라섬 반월도 박지도 반월박지도 기점소악도 천사대교 설레미 우도 엘도라도 염전 대파 양파 왕새우 흰다리새우 김 돌김 파래김 우럭 홍어 건정 낙지 뻘 갯벌 바다 섬 여행 관광 투어 선도 수선화 튤립 임자도 임자 섬 섬관광 섬여행 신안섬 수산물 해안 바다 갯벌 많은섬 천사섬 천사 섬 전남 신안 퍼플섬 마을상생 상생 마을 시골 고향 그리움 기점도 소악도 섬티아고ZlEghNV_dQQ
4https://www.youtube.com/channel/UCD_GS8VmhbRvNrCn3plPX9A2021-09-012013-11-12https://yt3.ggpht.com/ytc/AKedOLSZETbbE2lL_PrTWoXoI2Ay9Iw9Nr_4rSBw3138=s88-c-k-c0x00ffffff-no-rj<NA>공공기관청신호tv22400FalseKR서울주택도시공사 SH공사 SH 청신호 청신호주택 청신호프로젝트 행복주택 임대주택 국민임대 공공임대 부동산 청년주택9eBKoCVHt3w
5https://www.youtube.com/channel/UCS8scDQfZODuBf-fVSne_Zw2021-09-012014-01-09https://yt3.ggpht.com/niZEYsQvKRWm6KbaahtWSeKB2TGZQXagW1sJiypc0ofiVbXtwRaYKO6Kc1XnUkkyhA-ZmOQT4Q=s88-c-k-c0x00ffffff-no-rj전시 및 문의 - tmddnjs9291@naver.com 인스타그램-https:www.instagram.comygr9291MCNPainter 원15700FalseKR리화거북이cgQhU2pzqjc
6https://www.youtube.com/channel/UC47HAkQ6oZ-Hf5SVBGdvP6g2021-09-012012-01-13https://yt3.ggpht.com/h4MtXManCLhzkUf6BgYJx6mWf0s4VA3hHusayu4HgkQ1U3q-M9dCYuIx7ggGNVSBCaSXoUi4=s88-c-k-c0x00ffffff-no-rj인스타그램: https:www.instagram.comgabiekookMCN국가비 Gabiekook1200000FalseGBGabiekook 국가비 레시피 국가비 레시피 원팬 gabiekook recipe gabie 조가비 josh and gabie koreanenglishman jolly 영국남자 졸리 조쉬 국가비 recipe one pan recipe Gabie gabby gaby Gabie french Gabie spanish 국가비 스페니쉬 국가비 불어 마스터셰프 master chef korea vlog london vlog cooking vlog what i eat in a week what i eat in a day<NA>
7https://www.youtube.com/channel/UCygs-_iDpCJOnhuCZibK7JQ2021-09-012016-05-23https://yt3.ggpht.com/ytc/AKedOLTezYVoeYCWboWlAjZogd9BmRTzOdA56AQ3YEDK3A=s88-c-k-c0x00ffffff-no-rj실(Loss)없이 운동하자! 흑자헬스(Surplus Health) 2019.3.25 ~ [미트리 닭가슴살] 할인 https:metree.co.krindexindex.php?sponsor=100419492 추천 코드:100419492 [아이언맥스 보충제] 할인 http:www.ironmaxx.co.kr 할인코드 'Black' 운동 전 부스터 음료 [고릴라밤] 할인 movemore.co.kr 할인코드 : surplus [하빈저; 잠스트 등 운동용품] 할인 http:bit.ly2TjSd2ZMCN흑자헬스SurplusHealth367000FalseKR흑자헬스 남자운동 다이어트 헬창 웨이트트레이닝 스쿼트aN-7_Zr1c4Q
8https://www.youtube.com/channel/UC5oft5dVf43M2cFmhpJLVGQ2021-09-012011-05-18https://yt3.ggpht.com/ytc/AKedOLTPuK2yTbSLdgxF6H3M7Je4O9WGzpAoaZawpIHIHg=s88-c-k-c0x00ffffff-no-rj세상 모든 안주를 리뷰하는 애주가TV 참PD입니다. 각종문의 이메일주소 : ilovechampd@gmail.com 인스타그램 : ilovechampdMCN애주가TV참PD1120000FalseKR술안주 참피디 애주가티비 술먹방 먹방 MUKBANG 갑각류 녹진 애주가 안주리뷰 안주레시피vE6wsuoB9ac
9https://www.youtube.com/channel/UCYveCmYCyZ1tdgoesWqx8tA2021-09-012014-03-21https://yt3.ggpht.com/ytc/AKedOLTBYIWUdfZF2EU8bXjQ170-fZLAV8K5lLbvqJ77ug=s88-c-k-c0x00ffffff-no-rj강아지와 아재의 소소한 희노애락 이야기 ^^ (The real-life diary of two dogs.) 1. Name: Gugwha (국화)- Male(남자) Adoption(입양) : 12월. 19일. 2010 Breed(종): Hybrid (발바리) Like food(좋아하는 음식): All Meat(고기); Fish(생선) Dislke(싫어하는) food: Fruits(과일) Character(성격): Gentle(부드러운; 조용한) thoughtful (사려깊은) 2. Name: Maewha(매화) - Female Adoption: 11월 둘째주 일. 2013 Breed: Hybrid (바둑이) Love food: Almost every food except some fruits Even she ate a tube of toothpaste(치약) ); cheerful (명랑한)MCN손일권15700FalseKR<NA>sRS5mXJf418
채널채널경로명채널수집일자채널채널생성일자채널아이콘채널채널설명채널채널범주명채널채널명채널구독자수구독자수비공개정보채널국가채널채널키워드명영상
15https://www.youtube.com/channel/UCZEkwOMUo_8WXyaEQ9Qs5AQ2021-09-012012-01-06https://yt3.ggpht.com/ytc/AKedOLTdYZel6SF1EgAnjQKPcrK4ZKbW1atAx-v8ude08Q=s88-c-k-c0x00ffffff-no-rj건강한 삶과 바이오경제를 구현하는 글로벌 리더; 한국생명공학연구원의 공식 유튜브 채널입니다공공기관한국생명공학연구원2530FalseKR한국생명공학연구원 생명연 KRIBB 생명공학 연구원otCoEnYvwt4
16https://www.youtube.com/channel/UCmTu3nys7ORxWCyw0KcXraA2021-09-012015-06-11https://yt3.ggpht.com/ytc/AKedOLRXfFFFN6NvtWHLbtYPoZYAKkOUCG4jjBy7P9Mwhw=s88-c-k-c0x00ffffff-no-rj원스톱 푸드채널! 요리×노리의 노리입니다. 눈과 귀가 즐거운; 맛있고 다양한 푸드콘텐츠를 소개하고 있어요! 구독과 알람버튼 눌러 맛있는 영상 받아보세요! Instagram @yori_x_noriMCN노리NORI30600FalseKR요리 먹방 노리 먹방여행 여행 푸드트립 food trip mukbang 자취요리 간단요리CSYGQm-rjV4
17https://www.youtube.com/channel/UCT_Sf9z6Cqy11VHOfbnQPNQ2021-09-012014-06-01https://yt3.ggpht.com/ytc/AKedOLQps9MmDSInZjDgA2Rl7vvosgStUxRtft2PiPI-mw=s88-c-k-c0x00ffffff-no-rjWith Sandbox Network 안녕하세요 비콘입니다 :D 부족한 편집실력이지만 즐겁게 봐주세용 ㅎㅎ !! 열심히 활동하겠습니당 ~ 메일 : 0105640@naver.comMCN비콘 TV298000FalseKR게임 유튜버FQql_jkRQ58
18https://www.youtube.com/channel/UCWrXqW4HrgGw10WUPm15S6Q2021-09-012016-12-25https://yt3.ggpht.com/ytc/AKedOLTeelTKRTIX4Us4010QXmIT13DsQA5ceUdja92iJg=s88-c-k-c0x00ffffff-no-rjHey; Human Being. I’m Alien Being. Alien Being is making Minecraft Life Animation. Thanks for watching. Don’t forget to Like; Subscribe & Comment; Share!!MCNAlien Being3340000False<NA>minecraft animation monster school alien being villager pillager life ost song herobrine zombiemCsc8NOnrPs
19https://www.youtube.com/channel/UC1Do3xw9OuUk7FQuPTmSVOw2021-09-012018-05-31https://yt3.ggpht.com/ytc/AKedOLRNx42u-Xkl-EAolw8Xx8beBZS3SuA2eDgIzJgzNw=s88-c-k-c0x00ffffff-no-rj어려운 용어들이나 개념을 최대한 쉽고 재미있게 영상매체로 설명함으로써 학생들에게는 창의력을 길러주고 성인 시청자분들은 과학에 흥미를 느끼도록 도움을 주는 채널이 되었으면 좋겠습니다.MCN지식보관소302000FalseKR지식보관소STq-uRYO5js
20https://www.youtube.com/channel/UCM3pMyyslUgGIGXK6M6Dm-w2021-09-012019-04-10https://yt3.ggpht.com/AF3ueYkF9eV-tkI6S4KLG0DJ-btPpyKJ8hJd6AIUTK_pZFp2ykG8MNg_eaj6KsL3g_g5JKGHAw=s88-c-k-c0x00ffffff-no-rj꼬똥 드 툴레아(Coton de Tulear) 밍순이 실버 푸들 (Silver Poodle) 개순이 입양부터 평생을 기록할 강아지 유튜브 채널입니다♥ - 프로필 (profile) ♥ 첫째 (하얀애) 이름 : 밍순 MingSoon 성별 : 여 Female 생일 : 2019.02.27 견종 : 꼬똥 드 툴레아 Coton de Tulear 특징 : 눈마주치면 꼬리 흔들기 :) 별명 : 밍뚜니; 토끼; 개끼; 개끼냥이; 대걸레; 민들레홀씨; 로봇청소기; 먼지털이개; 꼬질이똥개; 하찮은먼지 (아마도 더 추가 될 예정 ㄷㄷ) ♥ 둘째 (까만애) 이름 : 개순 GaeSoon 성별 : 여 Female 생일 : 2019.07.10 견종 : 실버 푸들 Silver Poodle 특징 : 자기가 고양이 인줄 알고있음ㅋ (손을 잘씀) 별명 : 개엄살; 흑염소; 파괴왕; 양순이 (기똥찬걸로 지어주시면 추가함'ㅡ') ------------------------------------------- ♥ First born Name : MingSoon Sex : Female Birth date : 28 February 2019 Breed : Coton de Tulear Characteristics : Tail wobble ♥ Second born Name : GaeSoon Sex : Female Birth date : 10 July 2019 Breed : Silver Toy Poodle - e-mail : hyuna0124@naver.com #반려견 #강아지 #꼬똥 #꼬똥드툴레아 #CotondeTulear #밍순이 #푸들 #실버푸들 #SilverPoodle #개순이MCN개밍순 DogMingsoon103000FalseKR강아지 Dog Pet 꼬똥드툴레아 CotondeTulear 실버푸들 silverpoodle 반려견 doggy poodle 푸들TD9oAIq5DVg
21https://www.youtube.com/channel/UCHGP9yktrGw5Kv1ak2nDXJw2021-09-012015-09-01https://yt3.ggpht.com/Y_IOXQsRbCWXVBk9uIi1DIkHVtK7Jt2hYxT3n9E5t2fsAb3KxSInLYlwTuibloXs0bjSP0n9_UQ=s88-c-k-c0x00ffffff-no-rj반갑습니다♡ 공무원연금공단 공식 유튜브 채널입니다! 국민과 함께 하는 혁신경영; 연금가족과 행복한 동행이 되겠습니다. 공무원연금공단 공식 홈페이지 : http:www.geps.or.kr 공무원연금공단 본사 : 제주특별자치도 서귀포시 서호중앙로 63 공무원연금공단 콜센터 : (국번없이) 1588-4321공공기관공무원연금공단40800FalseKR공무원연금WwEtMDnttfI
22https://www.youtube.com/channel/UCxlMTsQSpGK5D359rEjOEdw2021-09-012012-11-28https://yt3.ggpht.com/ytc/AKedOLQomE4JNEyzRnnwJVz7VSNKIrE7e_i2tugnLHWD9Q=s88-c-k-c0x00ffffff-no-rj논산시 공식 유튜브 논산시TV 유튜브 많은 애청바랍니다.공공기관논산시TV- 논산시 공식 유튜브2050FalseKR논산시 논산시청 논산딸기 육군훈련소 출렁다리 선샤인랜드 탑정호 강경젓갈 음악분수a9HyrGU07JQ
23https://www.youtube.com/channel/UCsB1Bd-baINv1er3K3trPTw2021-09-012020-02-17https://yt3.ggpht.com/ytc/AKedOLQWTnr99MH3vvdFFct_rM1vxkUsB4VP85POpkQF=s88-c-k-c0x00ffffff-no-rj<NA>공공기관신용보증재단중앙회TV0TrueKR<NA>yyYPkGq153U
24https://www.youtube.com/channel/UCXzKVkO48lHs-RfTnD2wJJw2021-09-012014-03-19https://yt3.ggpht.com/ytc/AKedOLSM04ZonlmpHebvwsmMX6G0_Wdg4JaH5TGrzg6CUQ=s88-c-k-c0x00ffffff-no-rjEmail: jasminejung4@gmail.comMCNOneday ASMR0TrueKRASMR 한국어asmr koreanasmr soft-spoken whispering<NA>