Week 4 Data Dive
2023-09-12
Importing libraries to run.
library(tidyverse)## Warning: package 'tidyverse' was built under R version 4.2.3## Warning: package 'ggplot2' was built under R version 4.2.3## Warning: package 'tibble' was built under R version 4.2.3## Warning: package 'tidyr' was built under R version 4.2.3## Warning: package 'readr' was built under R version 4.2.3## Warning: package 'purrr' was built under R version 4.2.3## Warning: package 'dplyr' was built under R version 4.2.3## Warning: package 'stringr' was built under R version 4.2.3## Warning: package 'forcats' was built under R version 4.2.3## Warning: package 'lubridate' was built under R version 4.2.3## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.2
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorsInitially setting our directories and loading our data.
knitr::opts_knit$set(root.dir = "C:/Users/Prana/OneDrive/Documents/Topics in Info FA23(Grad)")
youtube <- read_delim("./Global Youtube Statistics.csv", delim = ",")## Rows: 995 Columns: 28
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (7): Youtuber, category, Title, Country, Abbreviation, channel_type, cr...
## dbl (21): rank, subscribers, video views, uploads, video_views_rank, country...
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.Creating first random sample of data
s1<-youtube[,c("category","video views","subscribers")]
df1<-data.frame(sample_frac(s1,0.5,replace = TRUE))
df1## category video.views subscribers
## 1 Entertainment 6041264489 2.30e+07
## 2 Comedy 3037260680 1.65e+07
## 3 Gaming 6889304306 1.50e+07
## 4 Film & Animation 13013567335 3.36e+07
## 5 Education 1349288771 1.58e+07
## 6 Howto & Style 2939201386 1.37e+07
## 7 People & Blogs 3485373675 1.26e+07
## 8 People & Blogs 10336420490 2.74e+07
## 9 Entertainment 7612385622 1.75e+07
## 10 Music 13405849040 2.26e+07
## 11 Music 7489455451 1.25e+07
## 12 Entertainment 8826138204 1.67e+07
## 13 News & Politics 14198154095 1.52e+07
## 14 Entertainment 2683297849 1.30e+07
## 15 Gaming 9996133066 1.50e+07
## 16 Comedy 2764127969 2.02e+07
## 17 Music 11423792969 1.44e+07
## 18 Film & Animation 7683670251 1.24e+07
## 19 Entertainment 27684955537 3.02e+07
## 20 Music 2131548711 1.41e+07
## 21 People & Blogs 6269945014 2.13e+07
## 22 Sports 5529131886 1.94e+07
## 23 Music 10227242833 1.62e+07
## 24 Science & Technology 3606912471 1.72e+07
## 25 Gaming 14631710289 4.81e+07
## 26 Howto & Style 7018015062 1.48e+07
## 27 Entertainment 23844936965 2.83e+07
## 28 Entertainment 13174393401 1.27e+07
## 29 Music 11288359365 2.18e+07
## 30 Shows 148000000000 1.59e+08
## 31 Howto & Style 10414479943 2.38e+07
## 32 Education 2165885634 1.39e+07
## 33 Entertainment 4021409291 1.24e+07
## 34 People & Blogs 15751661213 2.32e+07
## 35 Entertainment 9956764048 2.84e+07
## 36 Gaming 2036408398 1.32e+07
## 37 Music 25579831081 2.31e+07
## 38 Entertainment 3912334359 1.35e+07
## 39 Entertainment 10939966484 2.30e+07
## 40 Music 28837144516 5.72e+07
## 41 Education 14814192034 2.83e+07
## 42 Entertainment 41139050371 4.46e+07
## 43 Comedy 6388439235 1.43e+07
## 44 People & Blogs 15510153803 2.37e+07
## 45 People & Blogs 4552581106 2.75e+07
## 46 Howto & Style 2831275503 1.33e+07
## 47 Entertainment 14431830557 1.64e+07
## 48 Science & Technology 7172386509 1.56e+07
## 49 Gaming 6862529416 1.56e+07
## 50 People & Blogs 1674409945 1.23e+07
## 51 News & Politics 15013096899 2.15e+07
## 52 Film & Animation 24118230580 8.69e+07
## 53 People & Blogs 11058049885 2.09e+07
## 54 News & Politics 7263619576 1.75e+07
## 55 Entertainment 16602198273 4.52e+07
## 56 Entertainment 6270909026 1.30e+07
## 57 Entertainment 7195314800 1.68e+07
## 58 People & Blogs 7741764747 1.24e+07
## 59 Education 30516172739 5.33e+07
## 60 Gaming 2122062016 1.36e+07
## 61 Film & Animation 11317309935 2.01e+07
## 62 Nonprofits & Activism 3523578665 1.69e+07
## 63 People & Blogs 9392093496 2.17e+07
## 64 Music 20826993957 7.56e+07
## 65 Gaming 8768697257 2.05e+07
## 66 Sports 9601137077 1.80e+07
## 67 People & Blogs 3152402405 1.26e+07
## 68 Comedy 11405809704 3.35e+07
## 69 Film & Animation 4454917643 2.19e+07
## 70 Music 25367126292 1.84e+07
## 71 Music 3587576784 1.48e+07
## 72 People & Blogs 1674409945 1.23e+07
## 73 Music 12889240875 2.31e+07
## 74 Entertainment 55299840198 3.52e+07
## 75 Comedy 11717217293 1.35e+07
## 76 Entertainment 5819508534 1.66e+07
## 77 Gaming 9983065083 1.81e+07
## 78 Music 6626563508 1.57e+07
## 79 Entertainment 41139050371 4.46e+07
## 80 Comedy 5457203710 1.37e+07
## 81 Music 8831179714 1.26e+07
## 82 People & Blogs 5994136760 3.33e+07
## 83 Comedy 2274007523 1.76e+07
## 84 People & Blogs 1845329502 1.59e+07
## 85 Music 10847948832 1.70e+07
## 86 Howto & Style 3696973456 1.66e+07
## 87 Entertainment 2650061211 1.34e+07
## 88 Comedy 4434679706 1.64e+07
## 89 Entertainment 11009148579 2.05e+07
## 90 Entertainment 47005053156 4.03e+07
## 91 Science & Technology 3606912471 1.72e+07
## 92 Gaming 374123483 1.23e+07
## 93 Gaming 6534326412 1.59e+07
## 94 Gaming 8761255550 1.86e+07
## 95 Comedy 11405809704 3.35e+07
## 96 Education 14814192034 2.83e+07
## 97 Music 6662288136 1.28e+07
## 98 Music 17688774915 2.38e+07
## 99 Entertainment 4625777945 1.25e+07
## 100 People & Blogs 7450345720 1.39e+07
## 101 Entertainment 4977284539 1.49e+07
## 102 Entertainment 23353115850 2.01e+07
## 103 Film & Animation 9023952946 1.44e+07
## 104 Gaming 6148303268 1.87e+07
## 105 Comedy 10238593147 1.42e+07
## 106 Entertainment 23844936965 2.83e+07
## 107 Education 11022391339 2.03e+07
## 108 People & Blogs 1777072487 1.51e+07
## 109 Gaming 2930015381 3.17e+07
## 110 Gaming 2036408398 1.32e+07
## 111 Entertainment 8265920659 1.35e+07
## 112 Film & Animation 3693798804 1.68e+07
## 113 Entertainment 2238134438 1.75e+07
## 114 Gaming 6668507856 1.51e+07
## 115 Shows 13930021471 1.96e+07
## 116 News & Politics 2255542592 1.94e+07
## 117 Music 15901824841 2.36e+07
## 118 Film & Animation 18961241905 3.65e+07
## 119 Howto & Style 3193226072 1.39e+07
## 120 Music 30367676736 5.35e+07
## 121 Music 12746535822 3.43e+07
## 122 Howto & Style 2588501115 2.48e+07
## 123 Film & Animation 18961241905 3.65e+07
## 124 Sports 9029609749 1.23e+07
## 125 Education 30516172739 5.33e+07
## 126 Gaming 6404852037 1.80e+07
## 127 People & Blogs 5014888374 1.45e+07
## 128 Sports 7135820721 1.64e+07
## 129 Entertainment 2465473772 1.47e+07
## 130 Science & Technology 1820559912 1.38e+07
## 131 Comedy 9270331567 1.69e+07
## 132 News & Politics 7263619576 1.75e+07
## 133 Howto & Style 7962725960 2.56e+07
## 134 Entertainment 13897932103 1.51e+07
## 135 Education 7776706184 1.55e+07
## 136 Entertainment 2182651464 1.31e+07
## 137 Music 19883150017 2.74e+07
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## 139 People & Blogs 1674409945 1.23e+07
## 140 News & Politics 10489367372 1.51e+07
## 141 Education 7776706184 1.55e+07
## 142 Gaming 4076692623 1.62e+07
## 143 Entertainment 5224764969 1.32e+07
## 144 nan 0 9.36e+07
## 145 Entertainment 6970899521 1.28e+07
## 146 Music 23755792542 2.46e+07
## 147 Film & Animation 13116313599 1.58e+07
## 148 Entertainment 4609753237 1.69e+07
## 149 Autos & Vehicles 9597894786 2.16e+07
## 150 People & Blogs 4051072188 1.85e+07
## 151 Music 19607009165 3.01e+07
## 152 Entertainment 23844936965 2.83e+07
## 153 Film & Animation 1796227417 2.04e+07
## 154 Howto & Style 6804072897 1.28e+07
## 155 Entertainment 13378360425 1.81e+07
## 156 Music 8623705301 1.40e+07
## 157 Music 19883150017 2.74e+07
## 158 Music 21306315429 3.46e+07
## 159 Comedy 4079141673 2.92e+07
## 160 People & Blogs 4122634467 1.58e+07
## 161 Music 4579773883 1.27e+07
## 162 Entertainment 10239836582 1.50e+07
## 163 Education 7274150246 2.02e+07
## 164 Shows 8265129639 1.55e+07
## 165 People & Blogs 9924103188 1.50e+07
## 166 Gaming 19417887510 2.74e+07
## 167 Entertainment 7923901253 1.33e+07
## 168 Entertainment 8658553456 1.50e+07
## 169 News & Politics 10489367372 1.51e+07
## 170 Science & Technology 5711208484 3.17e+07
## 171 Entertainment 11428794827 1.42e+07
## 172 News & Politics 4598387043 1.45e+07
## 173 Comedy 2129773714 1.23e+07
## 174 People & Blogs 22302547082 3.94e+07
## 175 Education 22593193994 3.01e+07
## 176 Entertainment 9884886099 1.32e+07
## 177 Howto & Style 7018015062 1.48e+07
## 178 nan 7399296005 1.61e+07
## 179 Education 4029253667 1.47e+07
## 180 Music 1576633086 1.51e+07
## 181 Entertainment 22519705183 4.74e+07
## 182 Music 10189027455 3.37e+07
## 183 Entertainment 6944967581 1.45e+07
## 184 News & Politics 9569814790 1.34e+07
## 185 Howto & Style 2214167846 1.40e+07
## 186 Entertainment 15916882228 2.71e+07
## 187 Science & Technology 1820559912 1.38e+07
## 188 Entertainment 2951914200 2.02e+07
## 189 People & Blogs 7780934187 2.18e+07
## 190 Comedy 4434679706 1.64e+07
## 191 Gaming 8768697257 2.05e+07
## 192 nan 11041261296 2.41e+07
## 193 Education 44900897958 3.92e+07
## 194 nan 1159290255 1.27e+07
## 195 Education 14814192034 2.83e+07
## 196 Education 2073073070 2.12e+07
## 197 Music 6048517979 1.42e+07
## 198 Gaming 4521573939 3.05e+07
## 199 People & Blogs 14655527943 2.48e+07
## 200 Entertainment 18208196857 3.76e+07
## 201 Entertainment 7141825267 1.63e+07
## 202 Shows 28519339489 3.82e+07
## 203 Entertainment 10047736580 2.13e+07
## 204 Entertainment 12362331529 1.47e+07
## 205 Film & Animation 17247584185 1.77e+07
## 206 Music 8134379376 1.37e+07
## 207 Music 6033295543 2.00e+07
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## 209 Entertainment 9110348202 1.31e+07
## 210 Film & Animation 17247584185 1.77e+07
## 211 nan 10613701948 2.25e+07
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## 213 Gaming 4959982720 1.40e+07
## 214 Gaming 2930015381 3.17e+07
## 215 Comedy 3145161634 3.07e+07
## 216 Music 17308961985 2.60e+07
## 217 Entertainment 4177184071 1.33e+07
## 218 People & Blogs 15913320995 1.49e+07
## 219 Sports 2656528205 1.53e+07
## 220 Science & Technology 2262690743 1.33e+07
## 221 Education 7776706184 1.55e+07
## 222 Music 18699145555 3.21e+07
## 223 Music 32312431239 5.40e+07
## 224 Entertainment 4956090094 2.06e+07
## 225 Entertainment 9710962528 1.71e+07
## 226 Entertainment 12295637162 1.87e+07
## 227 Gaming 11513738907 1.54e+07
## 228 People & Blogs 1493776391 1.38e+07
## 229 Entertainment 7590582024 1.92e+07
## 230 Music 19883150017 2.74e+07
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## 232 Comedy 3276891538 1.88e+07
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## 253 Music 57271630846 5.84e+07
## 254 Gaming 6534326412 1.59e+07
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## 462 Howto & Style 2994726412 2.47e+07
## 463 People & Blogs 7912733203 1.77e+07
## 464 Music 15901824841 2.36e+07
## 465 Entertainment 8897705695 1.50e+07
## 466 Entertainment 3875172235 2.00e+07
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## 469 Gaming 1556003039 1.83e+07
## 470 Entertainment 3299216601 1.33e+07
## 471 Entertainment 1136534702 1.25e+07
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## 474 People & Blogs 11057945183 1.78e+07
## 475 Film & Animation 1796227417 2.04e+07
## 476 nan 6001189018 1.27e+07
## 477 Entertainment 37939780685 4.32e+07
## 478 People & Blogs 4776507159 1.43e+07
## 479 People & Blogs 9602246828 2.52e+07
## 480 Film & Animation 4040297006 1.42e+07
## 481 Music 17308961985 2.60e+07
## 482 Music 25367126292 1.84e+07
## 483 Music 18699145555 3.21e+07
## 484 News & Politics 9569814790 1.34e+07
## 485 Entertainment 4956090094 2.06e+07
## 486 Entertainment 26800674545 3.20e+07
## 487 Education 5141201173 1.36e+07
## 488 People & Blogs 16560557488 1.74e+07
## 489 Film & Animation 4040297006 1.42e+07
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## 495 Music 25154232306 3.89e+07
## 496 Music 2131548711 1.41e+07
## 497 Education 13206471140 2.29e+07
## 498 Entertainment 2224911030 1.38e+07Created a data frame from a random sample containing the columns ‘category’, ‘video views’ and ’subscribers. The sample is 50% of the data.
Creating second random sample of data
s2<-youtube[,c("Country","video views","subscribers")]
df2<-data.frame(sample_frac(s2,0.5,replace = TRUE))
df2## Country video.views subscribers
## 1 United States 11081602368 2.52e+07
## 2 Canada 12831200855 3.00e+07
## 3 United States 59316472754 5.95e+07
## 4 United States 0 1.70e+08
## 5 nan 6746269458 1.79e+07
## 6 United States 15788208522 1.48e+07
## 7 United States 1948925559 1.36e+07
## 8 Saudi Arabia 8761255550 1.86e+07
## 9 India 11371738047 1.73e+07
## 10 Canada 7451792132 2.37e+07
## 11 nan 9383431376 1.48e+07
## 12 nan 15901824841 2.36e+07
## 13 United States 23353115850 2.01e+07
## 14 India 4712624489 1.31e+07
## 15 Indonesia 1181292450 1.35e+07
## 16 United States 14696003229 5.64e+07
## 17 Mexico 8984089026 1.55e+07
## 18 South Korea 3178222797 1.29e+07
## 19 United States 12624879732 2.07e+07
## 20 United States 4329121104 1.92e+07
## 21 India 11428794827 1.42e+07
## 22 nan 15318895118 2.81e+07
## 23 Indonesia 2143140898 1.51e+07
## 24 India 3445794123 1.35e+07
## 25 United States 13835173331 2.25e+07
## 26 Thailand 20196704276 1.86e+07
## 27 Canada 7451792132 2.37e+07
## 28 nan 1936582704 1.31e+07
## 29 United States 8588704539 1.78e+07
## 30 United States 9962188084 1.59e+07
## 31 United Kingdom 1612094871 1.25e+07
## 32 Thailand 4434679706 1.64e+07
## 33 Canada 7451792132 2.37e+07
## 34 India 7741764747 1.24e+07
## 35 Latvia 20919403720 2.02e+07
## 36 India 1758603195 1.32e+07
## 37 United Kingdom 17387583720 2.48e+07
## 38 Brazil 3980991248 1.80e+07
## 39 India 20269857567 3.34e+07
## 40 United States 11041261296 2.41e+07
## 41 Mexico 8984089026 1.55e+07
## 42 United Arab Emirates 7520379951 1.29e+07
## 43 nan 1302818088 1.25e+07
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## 80 Indonesia 11819051552 2.03e+07
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## 83 Ukraine 7018015062 1.48e+07
## 84 United States 9378175604 1.32e+07
## 85 United States 5759442450 1.98e+07
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## 87 United Kingdom 3280481927 1.41e+07
## 88 nan 13577142726 2.83e+07
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## 470 Russia 439098 1.49e+07
## 471 United Kingdom 2084791147 1.42e+07
## 472 Peru 1629801448 1.44e+07
## 473 Malaysia 9059696049 1.77e+07
## 474 Brazil 2602614088 1.24e+07
## 475 United Kingdom 10170264839 1.63e+07
## 476 Vietnam 9867515979 1.79e+07
## 477 Colombia 15777682516 2.77e+07
## 478 Brazil 4684983333 1.47e+07
## 479 United Kingdom 10170264839 1.63e+07
## 480 Indonesia 6036496916 1.41e+07
## 481 Saudi Arabia 2230986039 1.47e+07
## 482 India 5320485069 2.29e+07
## 483 United States 24519022988 4.24e+07
## 484 Brazil 7762905663 2.10e+07
## 485 Brazil 4959982720 1.40e+07
## 486 United States 4637474071 1.30e+07
## 487 United States 9378175604 1.32e+07
## 488 United States 7008250496 1.86e+07
## 489 Brazil 5224764969 1.32e+07
## 490 United States 10115316784 2.27e+07
## 491 United States 16086808918 1.24e+07
## 492 Canada 44900897958 3.92e+07
## 493 nan 14101010609 2.60e+07
## 494 United States 2543809954 2.37e+07
## 495 India 1973638757 1.37e+07
## 496 Spain 4977284539 1.49e+07
## 497 Chile 14631710289 4.81e+07
## 498 India 1001465469 1.70e+07Created a data frame from a random sample containing the columns ‘Country’, ‘video views’ an ’subscribers. The sample is 50% of the data.
Creating third random sample of data
s3<-youtube[,c("Youtuber","highest_yearly_earnings")]
df3<-data.frame(sample_frac(s3,0.5,replace = TRUE))
df3## Youtuber
## 1 BIGBANG
## 2 Jess No Limit
## 3 Talking Tom & Friends
## 4 Willyrex
## 5 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 6 Becky G
## 7 Drake
## 8 Heidi and Zidane HZHtube
## 9 Vania Mania Kids
## 10 JuegaGerman
## 11 Sonotek
## 12 ADEL et SAMI
## 13 Colors TV
## 14 Like Nastya ESP
## 15 NDTV
## 16 Topper Guild
## 17 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 18 The Weeknd
## 19 Vlad and Niki Arabic
## 20 DangMattSmith
## 21 AzzyLand
## 22 Blossom
## 23 Henrique e Juliano
## 24 MrBeast en Espa�\xef
## 25 MrBeast
## 26 Shorts Break
## 27 penguinz0
## 28 BBC News Hindi
## 29 ARY Digital HD
## 30 Shakira
## 31 Camila Cabello
## 32 Jass Records
## 33 DM - Desi Melodies
## 34 Lyrical Lemonade
## 35 Ariana Grande
## 36 Ultra Movie Parlour
## 37 SMTOWN
## 38 The Q
## 39 Zee Music Company
## 40 DLS News
## 41 Linus Tech Tips
## 42 SSundee
## 43 Chapitosiki
## 44 People Vs Food
## 45 ADEL et SAMI
## 46 Like Nastya
## 47 DeToxoMoroxo
## 48 Felipe Neto
## 49 Migos ATL
## 50 SIS vs BRO
## 51 whinderssonnunes
## 52 Matheus Yurley
## 53 Zach King
## 54 infobells
## 55 Jason Derulo
## 56 THE BROWN SIBLINGS
## 57 etvteluguindia
## 58 Shemaroo
## 59 Noor Stars
## 60 YouTube Movies
## 61 shfa
## 62 les boys tv2
## 63 Cardi B
## 64 Mrwhosetheboss
## 65 Canal Canalha
## 66 AuronPlay
## 67 TheOdd1sOut
## 68 Drake
## 69 Masha y el Oso
## 70 HUBA��
## 71 Dangal TV Channel
## 72 Trakin Tech
## 73 Duo Tiempo De Sol
## 74 Harsh Beniwal
## 75 SCTV
## 76 Liza Koshy
## 77 Felipe Neto
## 78 O Que N�����\xef\xbf
## 79 Prime Video India
## 80 VanossGaming
## 81 MrBeast en Espa�\xef
## 82 Michael Jackson
## 83 Kerajinan 5-Menit
## 84 Renato Garcia YT
## 85 Peet Montzingo
## 86 HUM TV
## 87 Jesser
## 88 DJ Khaled
## 89 Topper Guild
## 90 Rajshri
## 91 How Ridiculous
## 92 RobleisIUTU
## 93 Totoy kids - Espa�\xef
## 94 SOMOY TV
## 95 Emiway Bantai
## 96 TWICE
## 97 BBC News
## 98 Ultra Bollywood
## 99 KatyPerryVEVO
## 100 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd KIMPRO
## 101 Wow Kidz Action
## 102 Justin Bieber
## 103 MalumaVEVO
## 104 Billie Eilish
## 105 Kurzgesagt �����\xef\xbf
## 106 Kimberly Loaiza
## 107 7 Minutoz
## 108 Ishaan Ali 11
## 109 Geo News
## 110 CoryxKenshin
## 111 Yuya
## 112 Vlad and Niki IDN
## 113 Diana and Roma EN
## 114 Becky G
## 115 XXXTENTACION
## 116 Camila Cabello
## 117 LankyBox
## 118 IDEIAS INCR��
## 119 melanie martinez
## 120 SCTV
## 121 BETER B��
## 122 Infinite
## 123 Zee Bangla
## 124 BuzzFeedVideo
## 125 Gusttavo Lima Oficial
## 126 Marmok
## 127 Ami Rodriguez
## 128 Enaldinho
## 129 Avicii
## 130 Britain's Got Talent
## 131 netd m�\xef\xbf
## 132 Live
## 133 TV Ana Emilia
## 134 LeoNata Family
## 135 JD Pantoja
## 136 Everson Zoio
## 137 Avril Lavigne
## 138 Gaming
## 139 Spider Slack
## 140 Lele Pons
## 141 REACT
## 142 Maya and Mary
## 143 Stubborn Facts
## 144 White Hill Music
## 145 BANGTANTV
## 146 Dyland PROS
## 147 ChuChu TV Nursery Rhymes & Kids Songs
## 148 mmoshaya
## 149 Zhong
## 150 WatchMojo.com
## 151 TheRichest
## 152 BabyBus - Kids Songs and Cartoons
## 153 Matt Steffanina
## 154 O Reino Infantil
## 155 BETER B��
## 156 SriBalajiMovies
## 157 H2ODelirious
## 158 Yair17
## 159 It's Mamix
## 160 Beast Philanthropy
## 161 wifistudy
## 162 ZutiGang
## 163 SCTV
## 164 JFlaMusic
## 165 Camilo
## 166 Luisito Comunica
## 167 Bruno Mars
## 168 tuzelity SHUFFLE
## 169 Diana and Roma IND
## 170 SOMOY TV
## 171 PewDiePie
## 172 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfdSULGI
## 173 Unbox Therapy
## 174 Sports
## 175 TV Ana Emilia
## 176 Troom Troom India
## 177 Taylor Swift
## 178 Masha and The Bear
## 179 Disney Latinoam��
## 180 Smosh
## 181 Like Nastya Stories
## 182 Knowledge Tv ������
## 183 THE BROWN SIBLINGS
## 184 Z������\xef
## 185 The Q
## 186 BRIGHT SIDE
## 187 Shemaroo Movies
## 188 Dream
## 189 Telemundo
## 190 DEV Ke Facts
## 191 Sonotek Bhakti
## 192 Lucas and Marcus
## 193 Goldmines Dishoom
## 194 Bayashi TV
## 195 Shemaroo Comedy
## 196 MyMissAnand
## 197 Ozuna
## 198 Goldmines Cineplex
## 199 Ishtar Music
## 200 IDEAS EN 5 MINUTOS
## 201 Rafa & Luiz
## 202 #Ref����
## 203 CKM
## 204 LooLoo Kids - Nursery Rhymes and Children's Songs
## 205 Ch3Thailand
## 206 Rub������
## 207 BuzzFeedVideo
## 208 Avicii
## 209 Sony PAL
## 210 Maluma
## 211 Roman Atwood Vlogs
## 212 enchufetv
## 213 FACT FIRE KING
## 214 Musas
## 215 EminemMusic
## 216 WatchMojo.com
## 217 SET India
## 218 J Balvin
## 219 Desi Music Factory
## 220 Hacksmith Industries
## 221 Gibby :)
## 222 DALLMYD
## 223 MoreAliA
## 224 ABS-CBN News
## 225 Dyland PROS
## 226 Saregama Music
## 227 Jess No Limit
## 228 Goldmines Dishoom
## 229 EminemMusic
## 230 Shakira
## 231 KL BRO Biju Rithvik
## 232 NikkieTutorials
## 233 Eros Now Music
## 234 HAR PAL GEO
## 235 Jass Records
## 236 Mis Pastelitos
## 237 Renato Garcia YT
## 238 Vania Mania Kids
## 239 Sony PAL
## 240 Avicii
## 241 Jennifer Lopez
## 242 Happy Lives
## 243 Peet Montzingo
## 244 Tu COSMOPOLIS
## 245 Valentina Pontes ofc
## 246 Post Malone
## 247 Eros Now Music
## 248 O Que N�����\xef\xbf
## 249 Mark Rober
## 250 BBC News
## 251 Preston
## 252 Luli Pamp�
## 253 Rafa & Luiz
## 254 KSI
## 255 Becky G
## 256 Ricis Official
## 257 Health Time
## 258 Painzeiro
## 259 Renato Garcia YT
## 260 TazerCraft
## 261 Rclbeauty101
## 262 Chetan Monga Vlogs
## 263 toyorbabytv
## 264 Jass Records
## 265 Pop Chartbusters
## 266 W2S
## 267 WB Kids
## 268 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd Liziqi
## 269 Katakit Baby TV
## 270 SriBalajiMovies
## 271 Like Nastya VNM
## 272 BabyBus - Cerita & Lagu Anak-anak
## 273 ABC News
## 274 IGN
## 275 DeGoBooM
## 276 Manoj parihar
## 277 PrestonPlayz
## 278 KatieAngel
## 279 CVS 3D Rhymes & Kids Songs
## 280 Super JoJo - Nursery Rhymes & Kids Songs
## 281 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd one31
## 282 PewDiePie
## 283 It's Mamix
## 284 Michael Jackson
## 285 Nicki Minaj
## 286 La Rosa de Guadalupe
## 287 Sony AATH
## 288 Yudist Ardhana
## 289 JesseAndMike
## 290 Frost Diamond
## 291 Little Mix
## 292 Trap Nation
## 293 Les' Copaque Production
## 294 Sidemen
## 295 EeOneGuy
## 296 Gallina Pintadita
## 297 Willie Salim
## 298 Luis Fonsi
## 299 BUDI01 GAMING
## 300 VexTrex
## 301 Lofi Girl
## 302 MR. INDIAN HACKER
## 303 Jess No Limit
## 304 Rclbeauty101
## 305 FAPTV
## 306 The Tonight Show Starring Jimmy Fallon
## 307 FFUNTV
## 308 LankyBox
## 309 Willyrex
## 310 Panda Shorts
## 311 Manual do Mundo
## 312 Chapitosiki
## 313 Katy Perry
## 314 INCR�\xef\xbf
## 315 ARY Digital HD
## 316 Saad Lamjarred | �����\xef\xbf
## 317 toycantando
## 318 Rans Entertainment
## 319 5-Minute Crafts FAMILY
## 320 Pitbull
## 321 CKM
## 322 Saregama Music
## 323 StudyIQ IAS
## 324 H2ODelirious
## 325 Veritasium
## 326 EnriqueIglesiasVEVO
## 327 Blippi - Educational Videos for Kids
## 328 Spinnin' Records
## 329 Morgz
## 330 The Chainsmokers
## 331 Antrax
## 332 JYP Entertainment
## 333 Trakin Tech
## 334 Musas
## 335 POPS Kids
## 336 BUDI01 GAMING
## 337 Desi Gamers
## 338 Lil Nas X
## 339 shfa2 - ��
## 340 MattyBRaps
## 341 Jkk Entertainment
## 342 Danny Fitt
## 343 Wave Music Bhojpuri
## 344 Eva Bravo Play
## 345 Diana and Roma IND
## 346 Anitta
## 347 MoreAliA
## 348 Peppa Pig - Official Channel
## 349 Ja Mill
## 350 James Charles
## 351 Chapitosiki
## 352 Gusttavo Lima Oficial
## 353 Lindsey Stirling
## 354 Sun TV
## 355 Little Mix
## 356 Blippi - Educational Videos for Kids
## 357 karameeshchannel
## 358 ZAMZAM ELECTRONICS TRADING
## 359 HolaSoyGerman.
## 360 BuzzFeedVideo
## 361 Zee Tamil
## 362 Skrillex
## 363 PowerKids TV
## 364 Matheus Yurley
## 365 #Ref����
## 366 Coldplay
## 367 Maria Clara & JP
## 368 Badabun
## 369 Peppa Pig em Portugu��������\xef\xbf
## 370 Diana and Roma ARA
## 371 Ricis Official
## 372 Thairath Online
## 373 W2S
## 374 Rauw Alejandro
## 375 Felipe Neto
## 376 Kuplinov ��\xef\xbf
## 377 Salman Noman
## 378 Masha e o Urso
## 379 Fun For Kids TV - Hindi Rhymes
## 380 Cardi B
## 381 PlayStation
## 382 Felipe Neto
## 383 FAPTV
## 384 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 385 BigSchool
## 386 Goldmines
## 387 Kiddiestv Hindi - Nursery Rhymes & Kids Songs
## 388 Maroon5VEVO
## 389 CrashCourse
## 390 Ozuna
## 391 whinderssonnunes
## 392 Marta and Rustam
## 393 Vlad and Niki PRT
## 394 Jorge & Mateus Oficial
## 395 Masha e o Urso
## 396 ZAMZAM ELECTRONICS TRADING
## 397 penguinz0
## 398 Neha Kakkar
## 399 Mundo Bita
## 400 Lokdhun Punjabi
## 401 Galinha Pintadinha
## 402 Chetan Monga Vlogs
## 403 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd | Arab Games Network
## 404 \xfd\xfd\xfd Kids Roma Show
## 405 Like Nastya IDN
## 406 Boram Tube Vlog [��������\xef\xbf
## 407 National Geographic
## 408 Fueled By Ramen
## 409 netd m�\xef\xbf
## 410 \xfd\xfd\xfd Kids Roma Show
## 411 Ultra Records
## 412 TheOdd1sOut
## 413 Zeinab Harake
## 414 Cyprien
## 415 Tlnovelas
## 416 5-Minute Crafts PLAY
## 417 WiederDude
## 418 Aditya Movies
## 419 Kuplinov ��\xef\xbf
## 420 MAIKI021
## 421 PopularMMOs
## 422 Zig & Sharko
## 423 Blockbuster Movies
## 424 The Weeknd
## 425 Bounce Patrol - Kids Songs
## 426 Infinite
## 427 Pen Movies
## 428 Good Mythical Morning
## 429 DaniRep | +6 V����������\xef
## 430 Daily Dose Of Internet
## 431 Family Fitness
## 432 VexTrex
## 433 Lil Nas X
## 434 Drawblogs
## 435 NDTV India
## 436 Sidhu Moose Wala
## 437 RS 1313 SHORTS
## 438 BBC
## 439 Crazy XYZ
## 440 Little Baby Bum - Nursery Rhymes & Kids Songs
## 441 EminemVEVO
## 442 Avril Lavigne
## 443 DM - Desi Melodies
## 444 Willyrex
## 445 Vilmei
## 446 Logan Paul
## 447 Village Cooking Channel
## 448 NichLmao
## 449 Goldmines Great Indian Comedy
## 450 Blockbuster Movies
## 451 Britain's Got Talent
## 452 Jass Records
## 453 ERB
## 454 Gibby :)
## 455 Werever2morro
## 456 SriBalajiMovies
## 457 Sonotek Bhakti
## 458 Vogue
## 459 YouTube Movies
## 460 Marvel Entertainment
## 461 DopeLyrics
## 462 Vijay Kumar Viner Vlogs
## 463 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd 5 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 464 PlayStation
## 465 El Reino a Jugar
## 466 Roman Atwood Vlogs
## 467 Lotus Music
## 468 With Kids[����\xef
## 469 Boram Tube ToysReview [��������\xef\xbf
## 470 League of Legends
## 471 Maha Fun Tv
## 472 Davie504
## 473 RobleisIUTU
## 474 SriBalajiMovies
## 475 Lana Del Rey
## 476 Felipe Neto
## 477 Marques Brownlee
## 478 That Little Puff
## 479 Green Gold TV - Official Channel
## 480 IndiaTV
## 481 Bollywood Classics
## 482 tanboy kun
## 483 EeOneGuy
## 484 Zee Bangla
## 485 melanie martinez
## 486 Linus Tech Tips
## 487 Vogue
## 488 Sebasti���
## 489 Vania Mania Kids
## 490 MR. INDIAN HACKER
## 491 Rihanna
## 492 1theK (����\xef
## 493 Enes Batur
## 494 La Rosa de Guadalupe
## 495 MalumaVEVO
## 496 WorkpointOfficial
## 497 Top Viral Talent
## 498 WatchMojo.com
## highest_yearly_earnings
## 1 2.000e+06
## 2 2.630e+07
## 3 1.300e+06
## 4 7.395e+05
## 5 4.300e+06
## 6 5.000e+06
## 7 1.000e+00
## 8 4.606e+05
## 9 7.500e+06
## 10 3.200e+06
## 11 1.400e+06
## 12 1.300e+06
## 13 5.700e+07
## 14 1.540e+07
## 15 2.800e+06
## 16 3.300e+07
## 17 6.570e+04
## 18 1.790e+07
## 19 3.100e+06
## 20 6.193e+05
## 21 2.586e+05
## 22 2.100e+06
## 23 7.900e+06
## 24 1.600e+06
## 25 6.470e+07
## 26 2.900e+03
## 27 9.100e+06
## 28 6.300e+06
## 29 5.520e+07
## 30 1.700e+07
## 31 2.000e+06
## 32 5.000e-02
## 33 6.800e+06
## 34 3.800e+06
## 35 7.700e+06
## 36 0.000e+00
## 37 1.120e+07
## 38 1.400e-01
## 39 3.860e+07
## 40 1.500e+06
## 41 4.200e+06
## 42 8.400e+06
## 43 3.420e+07
## 44 7.363e+05
## 45 1.300e+06
## 46 2.300e+06
## 47 0.000e+00
## 48 6.300e+06
## 49 2.400e+06
## 50 5.000e+00
## 51 1.300e+06
## 52 7.100e+03
## 53 6.000e+00
## 54 1.100e+06
## 55 2.150e+07
## 56 4.900e+06
## 57 1.310e+07
## 58 1.120e+07
## 59 7.467e+05
## 60 5.800e-01
## 61 7.630e+04
## 62 2.160e+04
## 63 3.400e-01
## 64 8.000e+06
## 65 1.100e+06
## 66 5.829e+05
## 67 1.500e+06
## 68 1.000e+00
## 69 1.000e-01
## 70 1.530e+07
## 71 2.690e+07
## 72 2.100e+06
## 73 2.600e+06
## 74 1.300e+06
## 75 1.600e+01
## 76 8.450e+04
## 77 6.300e+06
## 78 4.200e+06
## 79 1.610e+07
## 80 2.600e+06
## 81 1.600e+06
## 82 7.600e+06
## 83 9.475e+05
## 84 4.000e+06
## 85 1.910e+07
## 86 3.290e+07
## 87 4.400e+06
## 88 1.800e+01
## 89 3.300e+07
## 90 1.310e+07
## 91 1.880e+07
## 92 1.300e+06
## 93 5.400e+06
## 94 7.790e+02
## 95 2.000e+06
## 96 4.700e+06
## 97 3.200e+06
## 98 0.000e+00
## 99 4.300e+06
## 100 1.634e+08
## 101 5.100e+06
## 102 8.500e+06
## 103 4.700e+06
## 104 7.000e+06
## 105 1.400e+06
## 106 6.600e+06
## 107 1.400e+06
## 108 3.500e+07
## 109 4.800e+06
## 110 5.000e+06
## 111 1.610e+04
## 112 6.400e+06
## 113 8.500e+06
## 114 5.000e+06
## 115 2.800e+06
## 116 2.000e+06
## 117 3.910e+07
## 118 1.362e+05
## 119 2.700e+06
## 120 1.600e+01
## 121 7.020e+07
## 122 3.300e+06
## 123 2.900e+06
## 124 4.374e+05
## 125 1.030e+07
## 126 1.800e+06
## 127 1.270e+07
## 128 1.450e+07
## 129 3.900e+06
## 130 2.600e+06
## 131 2.040e+07
## 132 0.000e+00
## 133 1.300e+06
## 134 5.630e+07
## 135 6.496e+05
## 136 1.465e+05
## 137 2.400e+06
## 138 0.000e+00
## 139 3.650e+07
## 140 8.903e+05
## 141 1.100e+06
## 142 2.100e+06
## 143 4.020e+04
## 144 4.500e+06
## 145 8.100e+06
## 146 4.617e+05
## 147 2.020e+07
## 148 3.500e+06
## 149 0.000e+00
## 150 2.400e+06
## 151 0.000e+00
## 152 6.100e+06
## 153 9.260e+04
## 154 5.300e+06
## 155 7.020e+07
## 156 7.400e+06
## 157 8.057e+05
## 158 4.257e+05
## 159 7.672e+05
## 160 1.800e+03
## 161 6.858e+05
## 162 1.660e+07
## 163 1.600e+01
## 164 5.327e+05
## 165 2.900e+06
## 166 0.000e+00
## 167 8.400e+06
## 168 2.650e+07
## 169 2.200e+06
## 170 7.790e+02
## 171 1.900e+06
## 172 5.400e+06
## 173 8.025e+05
## 174 7.700e-01
## 175 1.300e+06
## 176 8.290e+05
## 177 2.540e+07
## 178 3.220e+07
## 179 2.270e+02
## 180 3.300e+06
## 181 1.400e+06
## 182 1.000e-01
## 183 4.900e+06
## 184 8.800e+06
## 185 1.400e-01
## 186 0.000e+00
## 187 8.900e+06
## 188 1.300e+06
## 189 2.300e+06
## 190 1.310e+07
## 191 1.200e+06
## 192 1.500e+07
## 193 6.200e+06
## 194 1.190e+02
## 195 4.900e+06
## 196 1.300e+06
## 197 8.100e+06
## 198 2.300e+06
## 199 8.700e+06
## 200 3.100e+03
## 201 5.700e+06
## 202 3.332e+05
## 203 6.308e+05
## 204 8.000e+00
## 205 0.000e+00
## 206 2.460e+07
## 207 4.374e+05
## 208 3.900e+06
## 209 2.000e+07
## 210 7.200e-01
## 211 7.600e+04
## 212 1.200e+06
## 213 2.500e+06
## 214 4.000e+00
## 215 1.250e+07
## 216 2.400e+06
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## 219 0.000e+00
## 220 4.000e+06
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## 222 1.500e+06
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## 224 8.700e+06
## 225 4.617e+05
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## 227 2.630e+07
## 228 6.200e+06
## 229 1.250e+07
## 230 1.700e+07
## 231 9.760e+07
## 232 1.700e+06
## 233 9.726e+05
## 234 6.420e+07
## 235 5.000e-02
## 236 2.400e+06
## 237 4.000e+06
## 238 7.500e+06
## 239 2.000e+07
## 240 3.900e+06
## 241 3.000e+06
## 242 0.000e+00
## 243 1.910e+07
## 244 7.747e+05
## 245 1.400e+06
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## 248 4.200e+06
## 249 4.300e+06
## 250 3.200e+06
## 251 7.300e+06
## 252 9.700e+06
## 253 5.700e+06
## 254 2.611e+05
## 255 5.000e+06
## 256 7.500e+06
## 257 6.690e+04
## 258 2.100e+06
## 259 4.000e+06
## 260 1.900e+06
## 261 4.145e+05
## 262 5.500e+06
## 263 8.100e+06
## 264 5.000e-02
## 265 3.500e+06
## 266 1.478e+05
## 267 6.700e+06
## 268 1.100e+06
## 269 4.400e+06
## 270 7.400e+06
## 271 4.100e+06
## 272 5.400e+06
## 273 8.900e+06
## 274 4.700e+06
## 275 4.800e+06
## 276 1.800e+06
## 277 7.300e+06
## 278 2.500e+06
## 279 6.500e+06
## 280 1.580e+07
## 281 6.800e+06
## 282 1.900e+06
## 283 7.672e+05
## 284 7.600e+06
## 285 5.000e+06
## 286 0.000e+00
## 287 1.320e+07
## 288 8.500e+06
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## 498 2.400e+06Created a data frame from a random sample containing the columns ‘Youtuber’ and their ‘highest yearly earnings’. The sample is 50% of the data.
Creating fourth random sample of data
s4<-youtube[,c("Youtuber","uploads")]
df4<-data.frame(sample_frac(s4,0.5,replace = TRUE))
df4## Youtuber
## 1 Gulshan Kalra
## 2 BANGTANTV
## 3 DUDU e CAROL
## 4 TWICE
## 5 RS 1313 SHORTS
## 6 Skrillex
## 7 Zee Telugu
## 8 Saad Lamjarred | �����\xef\xbf
## 9 BETER B��
## 10 Vlad and Niki IDN
## 11 Jake Paul
## 12 The ACE Family
## 13 #Ref����
## 14 TEDx Talks
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## 16 Kashvi Adlakha
## 17 David Guetta
## 18 GMM GRAMMY OFFICIAL
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## 22 Vilmei
## 23 TED
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## 29 Dear Sir
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## 32 Shakira
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## 38 Bispo Bruno Leonardo
## 39 Ben Azelart
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## 54 Tekashi 6ix9ine
## 55 ZutiGang
## 56 KOMPASTV
## 57 Ivana Alawi
## 58 WWE
## 59 zbing z.
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## 67 Ricis Official
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## 71 Saad Lamjarred | �����\xef\xbf
## 72 Rub������
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## 79 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 80 David Guetta
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## 99 DaniRep | +6 V����������\xef
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## 101 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 102 Ajay Sharma
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## 125 Awakening Music
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## 131 MissaSinfonia
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## 133 SMTOWN
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## 135 OneDirectionVEVO
## 136 LosPolinesios
## 137 The Dodo
## 138 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 139 The Vishal bhatt
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## 146 Sebasti���
## 147 Mundo Bita
## 148 WorkpointOfficial
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## 150 Colors Rishtey
## 151 Family GamesTV
## 152 ABP NEWS
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## 154 Jelly
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## 163 theRadBrad
## 164 netd m�\xef\xbf
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## 170 EminemVEVO
## 171 Fifth Harmony
## 172 Liza Koshy
## 173 Priyal Kukreja
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## 176 TommyInnit
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## 179 infobells - Tamil
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## 181 Junya.����
## 182 Ariana Grande
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## 187 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd | Arab Games Network
## 188 Jason Vlogs
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## 193 Like Nastya PRT
## 194 Neha Kakkar
## 195 5-Minute Crafts
## 196 BUDI01 GAMING
## 197 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfdSULGI
## 198 ABP NEWS
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## 230 SAM SMITH
## 231 MrBeast 2
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## 245 The World Adventures ������
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## 250 Planeta das G��
## 251 PowerfulJRE
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## 253 J Balvin
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## 258 Wow Kidz Action
## 259 Pastor Ant����\xef
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## 262 Jake Paul
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## 268 SriBalajiMovies
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## 270 toycantando
## 271 Narins Beauty
## 272 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd - Al-Remas
## 273 Bebefinn - Nursery Rhymes & Kids Songs
## 274 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 275 Beast Philanthropy
## 276 Fatos Desconhecidos
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## 278 KatyPerryVEVO
## 279 Beast Philanthropy
## 280 Lyrical Lemonade
## 281 WB Kids
## 282 Infobells Bangla
## 283 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd
## 284 Unbox Therapy
## 285 CrashCourse
## 286 America's Got Talent
## 287 jbalvinVEVO
## 288 Adexe & Nau
## 289 Peet Montzingo
## 290 infobells - Kannada
## 291 Goldmines
## 292 Arif muhammad
## 293 Just For Laughs Gags
## 294 NMF News
## 295 jacksepticeye
## 296 FunFun Toy Doll TV
## 297 Peppa Pig - Official Channel
## 298 WORLDSTARHIPHOP
## 299 Marmok
## 300 Super Simple Songs - Kids Songs
## 301 Las Ratitas
## 302 Linus Tech Tips
## 303 jaanvi patel
## 304 My Mate Nate
## 305 Quantum Tech HD
## 306 Prime Video India
## 307 DM - Desi Melodies
## 308 Canal Nostalgia
## 309 5-Minute Crafts DIY
## 310 Voc���
## 311 Willie Salim
## 312 Musas
## 313 HAR PAL GEO
## 314 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 315 First We Feast
## 316 Zee Bangla
## 317 Morgz
## 318 Gallina Pintadita
## 319 Gyan Gaming�
## 320 SAAIHALILINTAR
## 321 Jimmy Kimmel Live
## 322 Goldmines Movies
## 323 Vania Mania Kids
## 324 Tu COSMOPOLIS
## 325 Noman Official
## 326 Ivana Alawi
## 327 Akon
## 328 XO TEAM
## 329 ISSEI / ����
## 330 Peppa Pig - Official Channel
## 331 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd - Al-Remas
## 332 Sony Music South
## 333 5-Minute Crafts DIY
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## 338 iTownGamePlay *Terror&Diversi�\xef
## 339 TV9 Bharatvarsh
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## 343 Natan por A\xef\xbf
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## 346 Ray William Johnson
## 347 Kimberly Loaiza
## 348 Heidi y Zidane
## 349 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd - Genevieve's Playhouse
## 350 MrSuicideSheep
## 351 T-Series
## 352 Mister Max
## 353 Daddy Yankee
## 354 Drake
## 355 Jingle Toons
## 356 Smile Family Spanish
## 357 THE BROWN SIBLINGS
## 358 Trap City
## 359 RedeTV
## 360 Vlad and Niki ESP
## 361 NishaMadhulika
## 362 PowerfulJRE
## 363 Skrillex
## 364 Troom Troom India
## 365 The MriDul
## 366 Sony Music India
## 367 Chad Wild Clay
## 368 Like Nastya Vlog
## 369 Chris Brown
## 370 Reaction Time
## 371 GMM GRAMMY OFFICIAL
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## 374 Stubborn Facts
## 375 Younes Zarou
## 376 Minecraft - Topic
## 377 Hero Movies 2023
## 378 Super Simple Songs - Kids Songs
## 379 Kwebbelkop
## 380 Make Joke Of
## 381 Neha Kakkar
## 382 Disney Junior
## 383 Chetan Monga Vlogs
## 384 Bispo Bruno Leonardo
## 385 Speed Records
## 386 BuzzFeedVideo
## 387 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd KIMPRO
## 388 Hacksmith Industries
## 389 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd - Genevieve's Playhouse
## 390 LIV Crime
## 391 elrubiusOMG
## 392 JD Pantoja
## 393 Shawn Mendes
## 394 karameeshchannel
## 395 LEGO
## 396 Just For Laughs Gags
## 397 Quantum Tech HD
## 398 SCTV
## 399 GRAMMY GOLD OFFICIAL
## 400 Diana and Roma IND
## 401 Anaysa
## 402 Troom Troom PT
## 403 La Rosa de Guadalupe
## 404 Vibhu 96
## 405 AH
## 406 POPS Kids
## 407 Talking Angela
## 408 MattyBRaps
## 409 Sonotek
## 410 Like Nastya Vlog
## 411 THE BROWN SIBLINGS
## 412 Luli Pamp�
## 413 Saturday Night Live
## 414 MC Divertida
## 415 Mar�����
## 416 CarryMinati
## 417 T-Series Hamaar Bhojpuri
## 418 Collins Key
## 419 Hacksmith Industries
## 420 Timba Vk
## 421 Jordan Matter
## 422 Sony Music India
## 423 The Tonight Show Starring Jimmy Fallon
## 424 Lyna
## 425 Like Nastya Stories
## 426 Mobile Legends: Bang Bang
## 427 Sia
## 428 DUDU e CAROL
## 429 AM3NlC
## 430 Manoj parihar
## 431 Stokes Twins
## 432 Zee News
## 433 Valentina Pontes ofc
## 434 Piuzinho
## 435 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 436 Unspeakable
## 437 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 438 Like Nastya IDN
## 439 Canal KondZilla
## 440 YoungBoy Never Broke Again
## 441 GMMTV OFFICIAL��
## 442 FC Barcelona
## 443 Talking Tom
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## 445 Little Mix
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## 447 Matt Steffanina
## 448 Dear Sir
## 449 The Lallantop
## 450 Atlantic Records
## 451 AH
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## 453 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
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## 456 Gusttavo Lima Oficial
## 457 IDEIAS INCR��
## 458 HUBA��
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## 460 dednahype
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## 464 SelenaGomezVEVO
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## 466 BLACKPINK
## 467 ATHLEAN-X�
## 468 EminemVEVO
## 469 Sony Music South
## 470 SlivkiShow
## 471 1MILLION Dance Studio
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## 473 Ami Rodriguez
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## 476 FactTechz
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## 478 Mar�����
## 479 Jimmy Kimmel Live
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## 484 MyMissAnand
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## 487 Pencilmation
## 488 Ch3Thailand
## 489 Vilmei
## 490 Vlad and Niki ESP
## 491 Werever2morro
## 492 Cyprien
## 493 Badabun
## 494 Kurzgesagt �����\xef\xbf
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## 496 JJ Olatunji
## 497 KL BRO Biju Rithvik
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## 498 287Created a data frame from a random sample containing the columns ‘Youtuber’ and their ‘uploads’. The sample is 50% of the data.
Creating fifth random sample of data
s5<-youtube[,c("Youtuber","Country","created_year")]
df5<-data.frame(sample_frac(s5,0.5,replace = TRUE))
df5## Youtuber
## 1 LeoNata Family
## 2 Smosh
## 3 KOMPASTV
## 4 Drawblogs
## 5 Kerajinan 5-Menit
## 6 Aditya Movies
## 7 Ishtar Music
## 8 Jkk Entertainment
## 9 DisneyMusicVEVO
## 10 SRK MUSIC
## 11 League of Legends
## 12 Noor Stars
## 13 The Royalty Family
## 14 deepesh zo
## 15 Manual do Mundo
## 16 MrBeast 2
## 17 Total Gaming
## 18 Flowers Comedy
## 19 Jkk Entertainment
## 20 PowerKids TV
## 21 LosPolinesios
## 22 5-Minute Crafts PLAY
## 23 MissaSinfonia
## 24 Lele Pons
## 25 YouTube
## 26 shakiraVEVO
## 27 Daftar Populer
## 28 Unbox Therapy
## 29 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd - Al-Remas
## 30 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfdSULGI
## 31 Ami Rodriguez
## 32 Talking Tom
## 33 The Weeknd
## 34 XXXTENTACION
## 35 Ultra Movie Parlour
## 36 Liza Koshy
## 37 WiederDude
## 38 JesseAndMike
## 39 BIBO �����\xef\xbf
## 40 Jake Fellman
## 41 jbalvinVEVO
## 42 That Little Puff
## 43 Filaretiki
## 44 gymvirtual
## 45 BBC News
## 46 Lil Pump
## 47 ILYA BORZOV
## 48 RaptorGamer
## 49 Smosh
## 50 Jesser
## 51 T-Series Apna Punjab
## 52 LazarBeam
## 53 Panda
## 54 Goldmines Great Indian Comedy
## 55 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfdSULGI
## 56 Aadishakti Films
## 57 Little Baby Bum - Nursery Rhymes & Kids Songs
## 58 Maha Fun Tv
## 59 Hacksmith Industries
## 60 Ricis Official
## 61 Flowers Comedy
## 62 Gallina Pintadita
## 63 The Vishal bhatt
## 64 ERB
## 65 BabyBus - Kids Songs and Cartoons
## 66 AH
## 67 Maroon 5
## 68 jeffreestar
## 69 Heidi y Zidane
## 70 David Dobrik
## 71 BabyBus - Canciones Infantiles & Videos para Ni�\xef
## 72 Matheus Yurley
## 73 Technoblade
## 74 BETER B��
## 75 DanTDM
## 76 Trakin Tech
## 77 YouTube
## 78 TheDonato
## 79 Doggy Doggy Cartoons
## 80 NDTV
## 81 Wesley Safad�
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## 83 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 84 TEDx Talks
## 85 Alex Gonzaga Official
## 86 Kwebbelkop
## 87 infobells - Telugu
## 88 DeToxoMoroxo
## 89 Painzeiro
## 90 HiMan
## 91 Shemaroo
## 92 SSundee
## 93 Gaby and Alex
## 94 KSI
## 95 MrBeast
## 96 La Granja de Zen�
## 97 twenty one pilots
## 98 ZHC
## 99 Niana Guerrero
## 100 TheRichest
## 101 elcarteldesantatv
## 102 Hero Movies 2023
## 103 Reaction Time
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## 105 Khan GS Research Centre
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## 107 Thairath Online
## 108 Health Time
## 109 GR6 EXPLODE
## 110 Like Nastya Vlog
## 111 Jimmy Kimmel Live
## 112 Telemundo
## 113 Dear Sir
## 114 Las Ratitas
## 115 1MILLION Dance Studio
## 116 Village Cooking Channel
## 117 Talking Angela
## 118 MattyBRaps
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## 120 Pitbull
## 121 Collins Key
## 122 tanboy kun
## 123 Deddy Corbuzier
## 124 Sony Music South
## 125 ADEL et SAMI
## 126 La Granja de Zen�
## 127 Parafernalha
## 128 Goldmines Cineplex
## 129 O Reino Infantil
## 130 Lachlan
## 131 JULIA GISELLA
## 132 LuisFonsiVEVO
## 133 O Que N�����\xef\xbf
## 134 Stokes Twins
## 135 VexTrex
## 136 DisneyChannelUK
## 137 SCTV
## 138 PrestonPlayz
## 139 Family GamesTV
## 140 Lotus Music
## 141 Calon Sarjana
## 142 Sun TV
## 143 Alex Gonzaga Official
## 144 SSSniperWolf
## 145 Rosanna Pansino
## 146 GMA Integrated News
## 147 Goldmines Movies
## 148 Akon
## 149 PANDA BOI
## 150 Goldmines Great Indian Comedy
## 151 DM - Desi Melodies
## 152 zayn
## 153 IDEAS EN 5 MINUTOS
## 154 Juliana Baltar
## 155 Sports
## 156 Koray Zeynep
## 157 CookieSwirlC
## 158 Cocomelon - Nursery Rhymes
## 159 Apple
## 160 Tekashi 6ix9ine
## 161 NickiMinajAtVEVO
## 162 Turma da M��
## 163 TV Ana Emilia
## 164 SAAIHALILINTAR
## 165 shakiraVEVO
## 166 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 167 Alfredo Larin
## 168 LEGO
## 169 Dua Lipa
## 170 Netflix
## 171 Little Angel Espa���������
## 172 Diana and Roma EN
## 173 Lucas and Marcus
## 174 Emiway Bantai
## 175 First We Feast
## 176 VanossGaming
## 177 Atlantic Records
## 178 SET India
## 179 HUM TV
## 180 Linus Tech Tips
## 181 Triggered Insaan
## 182 SMOL
## 183 La Granja de Zen�
## 184 Happy Lives
## 185 Ivana Alawi
## 186 KL BRO Biju Rithvik
## 187 Panda
## 188 HAR PAL GEO
## 189 GEN HALILINTAR
## 190 The LaBrant Fam
## 191 Ed Sheeran
## 192 Spider Slack
## 193 GEN HALILINTAR
## 194 FC Barcelona
## 195 David Dobrik
## 196 Peppa Pig - Official Channel
## 197 JD Pantoja
## 198 WWE
## 199 BB Ki Vines
## 200 Dushyant kukreja
## 201 The LaBrant Fam
## 202 LazarBeam
## 203 Make Joke Of
## 204 Ariana Grande
## 205 Lil Pump
## 206 Heidi y Zidane
## 207 Willie Salim
## 208 SMOL
## 209 Natan por A\xef\xbf
## 210 Mariale
## 211 TV9 Bharatvarsh
## 212 MR. INDIAN HACKER
## 213 Pentatonix
## 214 TheOdd1sOut
## 215 W2S
## 216 _vector_
## 217 NickiMinajAtVEVO
## 218 Like Nastya PRT
## 219 colinfurze
## 220 zbing z.
## 221 HaerteTest
## 222 Galinha Pintadinha
## 223 Doc Tops
## 224 Technoblade
## 225 JennaMarbles
## 226 Dan Rhodes
## 227 Lokdhun Punjabi
## 228 Tlnovelas
## 229 SelenaGomezVEVO
## 230 Lotus Music
## 231 Liza Koshy
## 232 DaFuq!?Boom!
## 233 Desi Gamers
## 234 ABPLIVE
## 235 AM3NlC
## 236 Cyprien
## 237 Ray William Johnson
## 238 Goldmines Movies
## 239 Mobile Legends: Bang Bang
## 240 AS Gaming
## 241 Jennifer Lopez
## 242 TV Ana Emilia
## 243 MNCTV OFFICIAL
## 244 Wiz Khalifa
## 245 elrubiusOMG
## 246 Oyuncak Av\xef\xbf
## 247 Chloe Ting
## 248 Just For Laughs Gags
## 249 Matheus Yurley
## 250 GMA Network
## 251 FACT FIRE KING
## 252 Wiz Khalifa
## 253 infobells
## 254 Vlad and Niki
## 255 Lotus Music
## 256 Goldmines Premiere
## 257 5-Minute Crafts Recycle
## 258 Mundo Bita
## 259 Bruno Mars
## 260 Felipe Neto
## 261 FunFun Toy Doll TV
## 262 TheEllenShow
## 263 AlArabiya ����\xef\xbf
## 264 The ACE Family
## 265 Sanjoy Das Official
## 266 SMTOWN
## 267 Ben Azelart
## 268 unknown boy varun
## 269 Maha Fun Tv
## 270 ArianaGrandeVevo
## 271 Luisito Comunica
## 272 Shemaroo
## 273 D Billions
## 274 Parafernalha
## 275 Chapitosiki
## 276 Mohamed Ramadan I ������\xef
## 277 Little Baby Bum en Espa�\xef
## 278 Marques Brownlee
## 279 Bad Bunny
## 280 David Guetta
## 281 Round2hell
## 282 Camilo
## 283 SUPER SLICK SLIME SAM
## 284 El Reino a Jugar
## 285 Peppa Pig em Portugu��������\xef\xbf
## 286 Shemaroo
## 287 TheGrefg
## 288 GEN HALILINTAR
## 289 MSA previously My Story Animated
## 290 Troom Troom Es
## 291 Sony LIV
## 292 Ei Nerd
## 293 Mr Bean
## 294 Willyrex
## 295 Ami Rodriguez
## 296 SMOL
## 297 Jkk Entertainment
## 298 FC Barcelona
## 299 Fifth Harmony
## 300 Aaj Tak
## 301 Brave Wilderness
## 302 Thairath Online
## 303 Pen Movies
## 304 Alan Walker
## 305 Yudist Ardhana
## 306 PANDA BOI
## 307 Dave and Ava - Nursery Rhymes and Baby Songs
## 308 Dan-Sa / Daniel Saboya
## 309 KatyPerryVEVO
## 310 CKN
## 311 Lucas and Marcus
## 312 KatieAngel
## 313 Crafty Panda
## 314 DeToxoMoroxo
## 315 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd - Al-Remas
## 316 Rotana
## 317 Fede Vigevani
## 318 That Little Puff
## 319 Narendra Modi
## 320 Smile Family
## 321 Sonotek Bhakti
## 322 Troom Troom
## 323 MrBeast
## 324 T3ddy
## 325 Auron
## 326 JFlaMusic
## 327 The Infographics Show
## 328 Ben Azelart
## 329 Jake Fellman
## 330 Kim Loaiza
## 331 WB Kids
## 332 tanboy kun
## 333 EminemVEVO
## 334 Infobells Bangla
## 335 League of Legends
## 336 SSSniperWolf
## 337 Taylor Swift
## 338 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 339 Kids TV - Nursery Rhymes And Baby Songs
## 340 Salman Noman
## 341 Eros Now Music
## 342 Koray Zeynep
## 343 Yudist Ardhana
## 344 Indosiar
## 345 News 24
## 346 50 Cent
## 347 Lotus Music
## 348 NDTV India
## 349 DeGoBooM
## 350 Gulshan Kalra
## 351 1theK (����\xef
## 352 Anuel AA
## 353 Beyonc\xef\xbf
## 354 JULIA GISELLA
## 355 ABC News
## 356 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd one31
## 357 TheRichest
## 358 Zhong
## 359 Get Movies
## 360 SEVENGERS
## 361 elcarteldesantatv
## 362 Alan Walker
## 363 Tlnovelas
## 364 KOMPASTV
## 365 Nicki Minaj
## 366 Lil Pump
## 367 Dude Perfect
## 368 Daily Dose Of Internet
## 369 YouTube Movies
## 370 MC Divertida
## 371 DEV Ke Facts
## 372 Official Pink Panther
## 373 Desi Gamers
## 374 TWICE
## 375 CookieSwirlC
## 376 enchufetv
## 377 AMARINTV : ������������
## 378 ExtraPolinesios
## 379 Jordan Matter
## 380 Dangal TV Channel
## 381 T-Series
## 382 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 383 Pencilmation
## 384 Vlad and Niki Arabic
## 385 Triggered Insaan
## 386 Alexa Rivera
## 387 Kashvi Adlakha
## 388 jbalvinVEVO
## 389 Diana and Roma ESP
## 390 elrubiusOMG
## 391 Vlad and Niki IDN
## 392 Deddy Corbuzier
## 393 Beast Reacts
## 394 Zig & Sharko
## 395 Pinkfong Baby Shark - Kids' Songs & Stories
## 396 Netflix
## 397 TheWillyrex
## 398 SonyMusicIndiaVEVO
## 399 PowerKids TV
## 400 Free Fire India Official
## 401 Blippi - Educational Videos for Kids
## 402 KSI
## 403 PANDA BOI
## 404 The Q
## 405 Kaykai Salaider
## 406 Trap Nation
## 407 AdMe
## 408 FaZe Rug
## 409 Koray Zeynep
## 410 penguinz0
## 411 Bayashi TV
## 412 Diana and Roma IND
## 413 That Little Puff
## 414 tuzelity SHUFFLE
## 415 Mis Pastelitos
## 416 EeOneGuy
## 417 MyMissAnand
## 418 Mundo Bita
## 419 Mundo Bita
## 420 shfa2 - ��
## 421 FC Barcelona
## 422 DUDU e CAROL
## 423 StudyIQ IAS
## 424 Lana Del Rey
## 425 Paulo Londra
## 426 BIBO �����\xef\xbf
## 427 zbing z.
## 428 VICE
## 429 Speed Records
## 430 La Granja de Zen�
## 431 People Vs Food
## 432 Family Fitness
## 433 FitDance
## 434 Ben Azelart
## 435 Top Viral Talent
## 436 Mariale
## 437 Jennifer Lopez
## 438 Mis Pastelitos
## 439 SOMOY TV
## 440 Dan-Sa / Daniel Saboya
## 441 Lil Nas X
## 442 Zach King
## 443 Sanjoy Das Official
## 444 BUDI01 GAMING
## 445 EnriqueIglesiasVEVO
## 446 NBA
## 447 DLS News
## 448 Eros Now Music
## 449 DALLMYD
## 450 Alex Gonzaga Official
## 451 Super JoJo - Nursery Rhymes & Kids Songs
## 452 Heidi and Zidane HZHtube
## 453 Martin Garrix
## 454 Markiplier
## 455 Linkin Park
## 456 Indore Physical Academy
## 457 Zeinab Harake
## 458 Mrwhosetheboss
## 459 dednahype
## 460 The Late Late Show with James Corden
## 461 The Weeknd
## 462 KatyPerryVEVO
## 463 EnriqueIglesiasVEVO
## 464 Everson Zoio
## 465 The Tonight Show Starring Jimmy Fallon
## 466 TheBrianMaps
## 467 ABS-CBN Entertainment
## 468 Lotus Music
## 469 That Little Puff
## 470 Vlad v��\xef
## 471 The Game Theorists
## 472 LazarBeam
## 473 Mr Bean
## 474 VexTrex
## 475 Kimberly Loaiza
## 476 Dental Digest
## 477 Susy Mouriz
## 478 Anitta
## 479 Shemaroo Filmi Gaane
## 480 SriBalajiMovies
## 481 Like Nastya Show
## 482 Priyal Kukreja
## 483 SEVENGERS
## 484 TheBrianMaps
## 485 Avril Lavigne
## 486 Canal Nostalgia
## 487 CaseyNeistat
## 488 JesseAndMike
## 489 Nick Jr.
## 490 Troom Troom India
## 491 T-Series
## 492 Geet MP3
## 493 Ninja
## 494 The Infographics Show
## 495 Disney Junior
## 496 Farruko
## 497 mmoshaya
## 498 Super Polina
## Country created_year
## 1 United States 2021
## 2 United States 2005
## 3 Indonesia 2013
## 4 Peru 2014
## 5 Indonesia 2018
## 6 India 2012
## 7 India 2005
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## 13 United States 2017
## 14 nan 2021
## 15 Brazil 2006
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## 17 nan 2006
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## 19 India 2017
## 20 nan 2014
## 21 Mexico 2012
## 22 United States 2017
## 23 Mexico 2011
## 24 United States 2015
## 25 United States 1970
## 26 United States 2009
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## 30 South Korea 2012
## 31 Colombia 2009
## 32 United States 2008
## 33 Canada 2011
## 34 United States 2015
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## 43 United States 2021
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## 49 United States 2005
## 50 United States 2012
## 51 nan 2020
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## 53 United Kingdom 2006
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## 59 Canada 2006
## 60 Indonesia 2016
## 61 India 2015
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## 63 India 2021
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## 65 United States 2016
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## 67 United States 2006
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## 69 United States 2019
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## 71 Mexico 2018
## 72 Brazil 2015
## 73 United States 2013
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## 75 United Kingdom 2012
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## 77 United States 1970
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## 79 nan 2018
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## 91 India 2007
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## 94 United Kingdom 2009
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## 96 Argentina 2013
## 97 United States 2009
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## 100 United States 2006
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## 109 Brazil 2014
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## 123 Indonesia 2007
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## 126 Argentina 2013
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## 137 United Kingdom 2006
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## 139 nan 2012
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## 141 Indonesia 2016
## 142 India 2016
## 143 Philippines 2017
## 144 United States 2013
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## 146 Philippines 2007
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## 150 nan 2016
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## 152 United States 2016
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## 154 Brazil 2010
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## 156 nan 2016
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## 159 United States 2005
## 160 United States 2018
## 161 United States 2010
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## 163 Mexico 2014
## 164 Indonesia 2012
## 165 United States 2009
## 166 Saudi Arabia 2017
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## 169 United Kingdom 2011
## 170 United States 2012
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## 181 India 2014
## 182 nan 2006
## 183 Argentina 2013
## 184 United States 2016
## 185 Philippines 2018
## 186 nan 2020
## 187 United Kingdom 2006
## 188 Pakistan 2008
## 189 Indonesia 2015
## 190 United States 2012
## 191 United Kingdom 2006
## 192 Brazil 2020
## 193 Indonesia 2015
## 194 Spain 2006
## 195 United States 2014
## 196 United Kingdom 2013
## 197 nan 2017
## 198 United States 2007
## 199 India 2015
## 200 India 2015
## 201 United States 2012
## 202 Australia 2015
## 203 India 2017
## 204 United States 2007
## 205 nan 2015
## 206 United States 2019
## 207 Indonesia 2014
## 208 nan 2006
## 209 Brazil 2017
## 210 United States 2010
## 211 India 2018
## 212 India 2012
## 213 Canada 2006
## 214 United States 2014
## 215 United Kingdom 2012
## 216 United States 2019
## 217 United States 2010
## 218 nan 2019
## 219 United Kingdom 2006
## 220 Thailand 2014
## 221 Germany 2011
## 222 Brazil 2006
## 223 Ecuador 2014
## 224 United States 2013
## 225 United States 2010
## 226 United Kingdom 2015
## 227 India 2010
## 228 Mexico 2014
## 229 United States 2009
## 230 India 2021
## 231 United States 2013
## 232 United States 2016
## 233 nan 2020
## 234 nan 2014
## 235 Brazil 2012
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## 239 United States 2016
## 240 United States 2009
## 241 United States 2005
## 242 Mexico 2014
## 243 Indonesia 2012
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## 245 nan 2011
## 246 Turkey 2014
## 247 Australia 2011
## 248 United States 2007
## 249 Brazil 2015
## 250 Philippines 2006
## 251 India 2020
## 252 United States 2008
## 253 India 2011
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## 255 India 2021
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## 258 Brazil 2011
## 259 United States 2006
## 260 Brazil 2006
## 261 United States 2016
## 262 United States 2006
## 263 United Arab Emirates 2006
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## 268 India 2016
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## 271 Mexico 2010
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## 275 Russia 2020
## 276 Egypt 2014
## 277 Spain 2014
## 278 United States 2008
## 279 nan 2005
## 280 United States 2009
## 281 India 2016
## 282 Colombia 2010
## 283 Mexico 2018
## 284 Argentina 2015
## 285 Brazil 2014
## 286 India 2007
## 287 Spain 2012
## 288 Indonesia 2015
## 289 United States 2021
## 290 nan 2016
## 291 India 2014
## 292 nan 2007
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## 294 Spain 2009
## 295 Colombia 2009
## 296 nan 2006
## 297 India 2017
## 298 Spain 2006
## 299 United States 2013
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## 303 India 2014
## 304 Thailand 2006
## 305 Indonesia 2016
## 306 Italy 2020
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## 309 United States 2009
## 310 Spain 2005
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## 316 nan 2011
## 317 nan 2019
## 318 United States 2020
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## 322 United States 2015
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## 324 Brazil 2012
## 325 Spain 2013
## 326 South Korea 2011
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## 329 United States 2012
## 330 nan 2019
## 331 United States 2015
## 332 Indonesia 2016
## 333 United States 2009
## 334 India 2016
## 335 United States 2009
## 336 United States 2013
## 337 United States 2006
## 338 Russia 2015
## 339 United States 2013
## 340 nan 2022
## 341 India 2012
## 342 nan 2016
## 343 Indonesia 2016
## 344 Indonesia 2013
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## 346 United States 2007
## 347 India 2021
## 348 India 2008
## 349 Chile 2014
## 350 nan 2018
## 351 South Korea 2011
## 352 Colombia 2016
## 353 United States 2005
## 354 United Kingdom 2015
## 355 United States 2006
## 356 Thailand 2013
## 357 United States 2006
## 358 United States 2015
## 359 Russia 2006
## 360 India 2018
## 361 Mexico 2008
## 362 Thailand 2006
## 363 Mexico 2014
## 364 Indonesia 2013
## 365 United States 2013
## 366 nan 2015
## 367 United States 2009
## 368 United States 2015
## 369 United States 2006
## 370 Brazil 2018
## 371 India 2012
## 372 United States 2011
## 373 nan 2020
## 374 nan 2016
## 375 United States 2013
## 376 Colombia 2011
## 377 Thailand 2014
## 378 nan 2015
## 379 United States 2006
## 380 India 2017
## 381 India 2006
## 382 Saudi Arabia 2017
## 383 United States 2007
## 384 United States 2018
## 385 India 2014
## 386 nan 2010
## 387 India 2017
## 388 Colombia 2010
## 389 United States 2016
## 390 nan 2011
## 391 United States 2018
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## 396 United States 2012
## 397 Spain 2011
## 398 United States 2009
## 399 nan 2014
## 400 India 2018
## 401 United States 2014
## 402 United Kingdom 2009
## 403 Italy 2020
## 404 United States 2006
## 405 Thailand 2011
## 406 United States 2012
## 407 Spain 2006
## 408 Canada 2012
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## 410 United States 2007
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## 414 Russia 2015
## 415 Mexico 2014
## 416 United States 2013
## 417 India 2014
## 418 Brazil 2011
## 419 Brazil 2011
## 420 United Arab Emirates 2017
## 421 Spain 2006
## 422 Brazil 2013
## 423 India 2015
## 424 United States 2011
## 425 Argentina 2016
## 426 Russia 2019
## 427 Thailand 2014
## 428 United States 2005
## 429 India 2012
## 430 Argentina 2013
## 431 United States 2013
## 432 India 2017
## 433 France 2006
## 434 United States 2014
## 435 United States 2014
## 436 United States 2010
## 437 United States 2005
## 438 Mexico 2014
## 439 United States 2013
## 440 Brazil 2007
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## 442 nan 2013
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## 444 Indonesia 2019
## 445 United States 2009
## 446 United States 2005
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## 448 India 2012
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## 451 United States 2019
## 452 Canada 2015
## 453 United States 2011
## 454 United States 2012
## 455 Afghanistan 2006
## 456 India 2014
## 457 Philippines 2017
## 458 United Kingdom 2011
## 459 Latvia 2020
## 460 United States 2006
## 461 Canada 2011
## 462 United States 2009
## 463 United States 2009
## 464 Brazil 2009
## 465 United States 2006
## 466 Russia 2012
## 467 Philippines 2008
## 468 India 2021
## 469 United States 2020
## 470 United States 2018
## 471 Australia NaN
## 472 Australia 2015
## 473 United Kingdom 2006
## 474 Ukraine 2014
## 475 Mexico 2016
## 476 nan 2020
## 477 Mexico 2017
## 478 Brazil 2011
## 479 India 2010
## 480 India 2011
## 481 United States 2017
## 482 India 2021
## 483 India 2018
## 484 Russia 2012
## 485 United States 2005
## 486 Spain 2010
## 487 United States 2010
## 488 United States 2007
## 489 United States 2012
## 490 nan 2015
## 491 India 2006
## 492 India 2016
## 493 United States 2011
## 494 United States 2011
## 495 United States 2008
## 496 United States 2009
## 497 Saudi Arabia 2010
## 498 United States 2014Created a data frame from a random sample containing the columns ‘Youtuber’, their ‘Country’ and ‘created_year’. The sample is 50% of the data.
Creating sixth random sample of data
s6<-youtube[,c("Youtuber","category","created_year")]
df6<-data.frame(sample_frac(s6,0.5,replace = TRUE))
df6## Youtuber
## 1 Sony PAL
## 2 Ja Mill
## 3 CrashCourse
## 4 Sebasti���
## 5 Official Pink Panther
## 6 Veritasium
## 7 Vlad and Niki
## 8 Parafernalha
## 9 Anitta
## 10 5-Minute Crafts PLAY
## 11 GR6 EXPLODE
## 12 Lil Nas X
## 13 HYBE LABELS
## 14 Like Nastya Stories
## 15 James Charles
## 16 DeToxoMoroxo
## 17 Like Nastya
## 18 Sun TV
## 19 JFlaMusic
## 20 SET India
## 21 Anitta
## 22 Emiway Bantai
## 23 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd
## 24 Sony Music South
## 25 LosPolinesios
## 26 Totoy kids - Espa�\xef
## 27 Fatos Desconhecidos
## 28 Dave and Ava - Nursery Rhymes and Baby Songs
## 29 SSundee
## 30 DanTDM
## 31 Roman Atwood Vlogs
## 32 Gallina Pintadita
## 33 Marmok
## 34 NOBRU
## 35 ABC News
## 36 FunFun Toy Doll TV
## 37 Henrique e Juliano
## 38 BIBO �����\xef\xbf
## 39 Nick Jr.
## 40 MissaSinfonia
## 41 Gallina Pintadita
## 42 Clash of Clans
## 43 Las Ratitas
## 44 Rclbeauty101
## 45 Paulo Londra
## 46 RedeTV
## 47 Minecraft - Topic
## 48 CKM
## 49 Wesley Safad�
## 50 Filaretiki
## 51 Frost Diamond
## 52 MrBeast 2
## 53 Boram Tube ToysReview [��������\xef\xbf
## 54 TheEllenShow
## 55 Reaction Time
## 56 JesseAndMike
## 57 Little Baby Bum - Nursery Rhymes & Kids Songs
## 58 Peppa Pig Espa���������
## 59 Turma da M��
## 60 Troom Troom PT
## 61 Rajshri
## 62 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd8 : Thai Ch8
## 63 Manual do Mundo
## 64 Ricis Official
## 65 BeatboxJCOP
## 66 Dude Perfect
## 67 Dental Digest
## 68 Zee Music Company
## 69 Fun For Kids TV - Hindi Rhymes
## 70 Like Nastya ESP
## 71 SET India
## 72 SriBalajiMovies
## 73 Avril Lavigne
## 74 ImagineDragons
## 75 Canal Canalha
## 76 Round2hell
## 77 Totoy kids - Espa�\xef
## 78 ATHLEAN-X�
## 79 MrBeast en Espa�\xef
## 80 Kwebbelkop
## 81 Neha Kakkar
## 82 HolaSoyGerman.
## 83 Les' Copaque Production
## 84 Diana and Roma ARA
## 85 Willie Salim
## 86 Shakira
## 87 CoryxKenshin
## 88 J Balvin
## 89 Bebefinn - Nursery Rhymes & Kids Songs
## 90 HiMan
## 91 Miley Cyrus
## 92 YoungBoy Never Broke Again
## 93 Gato Galactico | GAL�\xef\xbf
## 94 Miss Katy
## 95 Stokes Twins
## 96 Katy Perry
## 97 Chapitosiki
## 98 EeOneGuy
## 99 Coke Studio
## 100 Ami Rodriguez
## 101 mmoshaya
## 102 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 103 Ch7HD
## 104 Like Nastya Show
## 105 Clash of Clans
## 106 Gaming
## 107 Voot Kids
## 108 mujjuu___14
## 109 Melon City Show - ����������\xef\xbf
## 110 Katy Perry
## 111 Zee TV
## 112 Health Time
## 113 Fede Vigevani
## 114 Vlad and Niki Arabic
## 115 MrBeast Gaming
## 116 Junya.����
## 117 CookingShooking Hindi
## 118 Talking Tom
## 119 News18 India
## 120 Shemaroo
## 121 Logan Paul
## 122 BabyBus - Cerita & Lagu Anak-anak
## 123 Noor Stars
## 124 Rafa & Luiz
## 125 DaniRep | +6 V����������\xef
## 126 sagar kalra (Shorts)
## 127 O Reino Infantil
## 128 Mark Rober
## 129 David Dobrik
## 130 MiawAug
## 131 HUM TV
## 132 Clash of Clans
## 133 TKOR
## 134 El Payaso Plim Plim
## 135 FACT FIRE KING
## 136 Khan GS Research Centre
## 137 Voc���
## 138 JustinBieberVEVO
## 139 T-Series
## 140 ZEE5
## 141 MrBeast
## 142 deepesh zo
## 143 Venus Entertainment
## 144 Doc Tops
## 145 Sony SAB
## 146 Topper Guild
## 147 Indore Physical Academy
## 148 PANDA BOI
## 149 Gaby and Alex
## 150 Boyce Avenue
## 151 Sony Music India
## 152 Gusttavo Lima Oficial
## 153 Luisito Comunica
## 154 Koray Zeynep
## 155 Ishtar Music
## 156 Tilak
## 157 Dream
## 158 Tips Official
## 159 Stokes Twins
## 160 Diana and Roma EN
## 161 StarPlus
## 162 Panda Shorts
## 163 YouTube Movies
## 164 shfa
## 165 Werever2morro
## 166 \xfd\xfd\xfd\xfd\xfd\xfd
## 167 CrashCourse
## 168 theRadBrad
## 169 jeffreestar
## 170 PopularMMOs
## 171 TWICE
## 172 DisneyChannelUK
## 173 Vlad and Niki PRT
## 174 Sonotek
## 175 Acenix
## 176 Marvel Entertainment
## 177 Blockbuster Movies
## 178 GH'S
## 179 Juan De Dios Pantoja
## 180 AH
## 181 Happy Lives
## 182 Sony AATH
## 183 Jason Derulo
## 184 Miss Katy
## 185 Preston
## 186 EeOneGuy
## 187 THE BROWN SIBLINGS
## 188 Alexa Rivera
## 189 Ellie Goulding
## 190 GRAMMY GOLD OFFICIAL
## 191 NichLmao
## 192 How Ridiculous
## 193 Bruno Mars
## 194 DangMattSmith
## 195 Camilo
## 196 Noman Official
## 197 NDTV India
## 198 ABPLIVE
## 199 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd - Genevieve's Playhouse
## 200 T-Series Apna Punjab
## 201 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 202 Naisa Alifia Yuriza (N.A.Y)
## 203 Kaykai Salaider
## 204 NikkieTutorials
## 205 Ajay Sharma
## 206 Like Nastya Stories
## 207 Diana and Roma ARA
## 208 Ultra Bollywood
## 209 Brave Wilderness
## 210 Maroon 5
## 211 Smile Family
## 212 Ninja Kidz TV
## 213 Like Nastya Vlog
## 214 Technoblade
## 215 Khan GS Research Centre
## 216 infobells - Telugu
## 217 Koray Zeynep
## 218 HUM TV
## 219 Popular on YouTube
## 220 Infobells - Hindi
## 221 PopularMMOs
## 222 dednahype
## 223 DUDU e CAROL
## 224 Zee TV
## 225 Super Senya
## 226 Dua Lipa
## 227 Kids TV - Nursery Rhymes And Baby Songs
## 228 Drawblogs
## 229 Parafernalha
## 230 Supercar Blondie
## 231 KL BRO Biju Rithvik
## 232 News
## 233 Dental Digest
## 234 DM - Desi Melodies
## 235 SelenaGomezVEVO
## 236 Saregama Music
## 237 Boram Tube Vlog [��������\xef\xbf
## 238 Ivana Alawi
## 239 AM3NlC
## 240 Crafty Panda
## 241 YOLO AVENTURAS
## 242 Paulo Londra
## 243 Marta and Rustam
## 244 Demi Lovato
## 245 Daddy Yankee
## 246 Ali-A
## 247 Like Nastya PRT
## 248 Pok���������
## 249 CKN
## 250 Ozuna
## 251 Michael Jackson
## 252 StudyIQ IAS
## 253 Beast Reacts
## 254 Minecraft - Topic
## 255 invictor
## 256 Apple
## 257 The Tonight Show Starring Jimmy Fallon
## 258 Fueled By Ramen
## 259 Alejo Igoa
## 260 NickiMinajAtVEVO
## 261 POPS Kids
## 262 Clash of Clans
## 263 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd Ms Yeah
## 264 Technology Gyan
## 265 Shemaroo Filmi Gaane
## 266 Kaykai Salaider
## 267 Sony LIV
## 268 Adexe & Nau
## 269 EminemVEVO
## 270 The Lallantop
## 271 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd KIMPRO
## 272 Anuel AA
## 273 ViralHog
## 274 MoniLina
## 275 Lahari Music - TSeries
## 276 EeOneGuy
## 277 Ami Rodriguez
## 278 CookingShooking Hindi
## 279 Hero Movies 2023
## 280 Rclbeauty101
## 281 Nicki Minaj
## 282 Coldplay
## 283 Totoy kids - Portugu�
## 284 SUPER SLICK SLIME SAM
## 285 Hongyu ASMR ��
## 286 Natan por A\xef\xbf
## 287 Melon City Show - ����������\xef\xbf
## 288 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 289 Sony AATH
## 290 SCTV
## 291 Drawblogs
## 292 Camila Loures
## 293 AH
## 294 Dua Lipa
## 295 Vilmei
## 296 TheOdd1sOut
## 297 Right to Shiksha
## 298 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd | toyoraljanahtv
## 299 Juliana Baltar
## 300 KAROL G
## 301 Renato Garcia YT
## 302 Hero Movies 2023
## 303 Rotana
## 304 ISSEI / ����
## 305 sagar kalra (Shorts)
## 306 LosPolinesios
## 307 Kurzgesagt �����\xef\xbf
## 308 Roman Atwood Vlogs
## 309 Geo News
## 310 Juliana Baltar
## 311 The Vishal bhatt
## 312 Enaldinho
## 313 Conor Maynard
## 314 Infobells - Hindi
## 315 Crazy Frog
## 316 DEV Ke Facts
## 317 GMMTV OFFICIAL��
## 318 Matt Steffanina
## 319 NickiMinajAtVEVO
## 320 AuronPlay
## 321 BLACKPINK
## 322 Eros Now Music
## 323 WowKidz
## 324 Troom Troom
## 325 Heidi and Zidane HZHtube
## 326 Jess No Limit
## 327 AS Gaming
## 328 Aayu and Pihu Show
## 329 Lindsey Stirling
## 330 Mr Bean
## 331 Invento na Hora
## 332 Ch7HD
## 333 Aadishakti Films
## 334 Brave Wilderness
## 335 Infobells Bangla
## 336 Super Polina
## 337 NishaMadhulika
## 338 SonyMusicIndiaVEVO
## 339 Eli Kids - Cartoons & Songs
## 340 UFC - Ultimate Fighting Championship
## 341 FailArmy
## 342 The Dodo
## 343 Meghan Trainor
## 344 Bebefinn - Nursery Rhymes & Kids Songs
## 345 Fueled By Ramen
## 346 Jake Paul
## 347 DJ Snake
## 348 TheEllenShow
## 349 Prajapati News
## 350 les boys tv2
## 351 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd I \xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 352 Preston
## 353 TKOR
## 354 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 355 Lucas and Marcus
## 356 Goldmines
## 357 TheDonato
## 358 Crazy XYZ
## 359 BIBO����\xef
## 360 My Mate Nate
## 361 Aaj Tak
## 362 Free Fire India Official
## 363 Lele Pons
## 364 Infobells Bangla
## 365 Ozuna
## 366 Marshmello
## 367 JennaMarbles
## 368 Gyan Gaming�
## 369 ToyPuddingTV
## 370 Marshmello
## 371 TED
## 372 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 373 Queen Official
## 374 And TV
## 375 AS Gaming
## 376 Miley Cyrus
## 377 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd/Atro
## 378 jacksepticeye
## 379 The MriDul
## 380 Little Baby Bum - Nursery Rhymes & Kids Songs
## 381 gymvirtual
## 382 Blippi Espa�\xef
## 383 CKM
## 384 Juan De Dios Pantoja
## 385 MAIKI021
## 386 Jennifer Lopez
## 387 BANGTANTV
## 388 Marvel Entertainment
## 389 FunFun Toy Doll TV
## 390 AM3NlC
## 391 Vlad and Niki PRT
## 392 TV Ana Emilia
## 393 7 Minutoz
## 394 SCTV
## 395 Junya.����
## 396 Jane ASMR ��
## 397 Jennifer Lopez
## 398 JJ Olatunji
## 399 PopularMMOs
## 400 Little Baby Bum - Nursery Rhymes & Kids Songs
## 401 The Shiny Peanut
## 402 Major Lazer Official
## 403 VEGETTA777
## 404 Rclbeauty101
## 405 Vlad v��\xef
## 406 Jess No Limit
## 407 GH'S
## 408 ADEL et SAMI
## 409 Vlad and Niki Arabic
## 410 Kwebbelkop
## 411 Mrwhosetheboss
## 412 Zach King
## 413 Like Nastya PRT
## 414 AdeleVEVO
## 415 Netflix India
## 416 Kids TV India Hindi Nursery Rhymes
## 417 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd/Atro
## 418 DanTDM
## 419 RaptorGamer
## 420 ADEL et SAMI
## 421 Talking Angela
## 422 Vibhu 96
## 423 Heidi and Zidane HZHtube
## 424 ILYA BORZOV
## 425 Doggy Doggy Cartoons
## 426 Techno Gamerz
## 427 Paulo Londra
## 428 Little Baby Bum en Espa�\xef
## 429 Enrique Iglesias
## 430 T-Series Hamaar Bhojpuri
## 431 GMA Public Affairs
## 432 Talking Tom
## 433 Ishtar Music
## 434 Marmok
## 435 E-MasterSensei
## 436 Vilmei
## 437 Bobby chourasiya
## 438 Post Malone
## 439 GMA Network
## 440 Apple
## 441 A4
## 442 les boys tv2
## 443 BabyBus - Canciones Infantiles & Videos para Ni�\xef
## 444 Beyonc��
## 445 Crafty Panda
## 446 Voot Kids
## 447 Akshay Nagwadiya
## 448 Free Fire India Official
## 449 Troom Troom PT
## 450 colinfurze
## 451 Just For Laughs Gags
## 452 IShowSpeed
## 453 Markiplier
## 454 Henrique e Juliano
## 455 Hongyu ASMR ��
## 456 Shakira
## 457 Akon
## 458 T-Series Apna Punjab
## 459 Little Angel - M����������
## 460 Goldmines Dishoom
## 461 BeatboxJCOP
## 462 Jennifer Lopez
## 463 SAAIHALILINTAR
## 464 T-Series Bollywood Classics
## 465 POPS Kids
## 466 Village Cooking Channel
## 467 WiederDude
## 468 AdMe
## 469 Oyuncak Av\xef\xbf
## 470 News 24
## 471 Natan por A\xef\xbf
## 472 Vania Mania Kids
## 473 Jennifer Lopez
## 474 toycantando
## 475 Saad Lamjarred | �����\xef\xbf
## 476 WORLDSTARHIPHOP
## 477 WatchMojo.com
## 478 Veritasium
## 479 Camila Cabello
## 480 Khan GS Research Centre
## 481 LOKESH GAMER
## 482 HowToBasic
## 483 Republic Bharat
## 484 Boram Tube Vlog [��������\xef\xbf
## 485 colinfurze
## 486 Willie Salim
## 487 Think Music India
## 488 H2ODelirious
## 489 Ryan Trahan
## 490 Flowers Comedy
## 491 The Q
## 492 Movieclips
## 493 Team Films Bhojpuri
## 494 Davie504
## 495 WorkpointOfficial
## 496 Netflix
## 497 colinfurze
## 498 Pop Chartbusters
## category created_year
## 1 Shows 2014
## 2 People & Blogs 2006
## 3 Education 2006
## 4 News & Politics 2013
## 5 Film & Animation 2011
## 6 Education 2010
## 7 Entertainment 2018
## 8 Entertainment 2011
## 9 Music 2011
## 10 Howto & Style 2017
## 11 Music 2014
## 12 Music 2018
## 13 Music 2008
## 14 Entertainment 2019
## 15 Entertainment 2015
## 16 Entertainment 2016
## 17 People & Blogs 2016
## 18 People & Blogs 2016
## 19 Music 2011
## 20 Shows 2006
## 21 Music 2011
## 22 Music 2013
## 23 Education 2018
## 24 Music 2014
## 25 People & Blogs 2012
## 26 Film & Animation 2017
## 27 Entertainment 2013
## 28 Education 2014
## 29 Gaming 2009
## 30 Gaming 2012
## 31 People & Blogs 2013
## 32 Music 2011
## 33 Gaming 2008
## 34 Gaming 2006
## 35 News & Politics 2006
## 36 Entertainment 2016
## 37 Music 2009
## 38 Entertainment 2019
## 39 Film & Animation 2012
## 40 Comedy 2011
## 41 Music 2011
## 42 Gaming 2013
## 43 People & Blogs 2019
## 44 Comedy 2010
## 45 Music 2016
## 46 Entertainment 2011
## 47 nan 2013
## 48 Comedy 2018
## 49 Music 2009
## 50 nan 2021
## 51 Gaming 2006
## 52 People & Blogs 2011
## 53 People & Blogs 2016
## 54 Entertainment 2006
## 55 Entertainment 2015
## 56 Entertainment 2007
## 57 Education 2011
## 58 Film & Animation 2014
## 59 Film & Animation 2012
## 60 Howto & Style 2015
## 61 Music 2006
## 62 Entertainment 2011
## 63 Howto & Style 2006
## 64 People & Blogs 2016
## 65 Film & Animation 2011
## 66 Sports 2009
## 67 People & Blogs 2020
## 68 Music 2014
## 69 Entertainment 2017
## 70 Entertainment 2017
## 71 Shows 2006
## 72 Entertainment 2011
## 73 Music 2005
## 74 Music 2009
## 75 Comedy 2011
## 76 Comedy 2016
## 77 Film & Animation 2017
## 78 Howto & Style 2006
## 79 Entertainment 2021
## 80 Gaming 2008
## 81 Music 2012
## 82 Entertainment 2016
## 83 Film & Animation 2009
## 84 nan 2019
## 85 People & Blogs 2014
## 86 People & Blogs 2005
## 87 Gaming 2009
## 88 Music 2011
## 89 nan 2022
## 90 People & Blogs 2014
## 91 Entertainment 2009
## 92 Entertainment 2015
## 93 Film & Animation 2013
## 94 People & Blogs 2014
## 95 People & Blogs 2008
## 96 Music 2008
## 97 Entertainment 2020
## 98 Entertainment 2013
## 99 Music 2008
## 100 Entertainment 2009
## 101 People & Blogs 2010
## 102 People & Blogs 2015
## 103 Entertainment 2010
## 104 Entertainment 2017
## 105 Gaming 2013
## 106 nan 2013
## 107 Entertainment 2016
## 108 People & Blogs 2020
## 109 Comedy 2016
## 110 Music 2008
## 111 Entertainment 2005
## 112 Howto & Style 2016
## 113 Howto & Style 2019
## 114 nan 2018
## 115 Gaming 2011
## 116 Entertainment 2020
## 117 People & Blogs 2017
## 118 Comedy 2008
## 119 News & Politics 2007
## 120 Entertainment 2007
## 121 Entertainment 2015
## 122 Education 2019
## 123 Comedy 2014
## 124 Entertainment 2015
## 125 Gaming 2012
## 126 People & Blogs 2017
## 127 Music 2014
## 128 Science & Technology 2011
## 129 People & Blogs 2014
## 130 Gaming 2014
## 131 Entertainment 2011
## 132 Gaming 2013
## 133 Education 2006
## 134 Film & Animation 2013
## 135 nan 2020
## 136 Education 2017
## 137 Entertainment 2013
## 138 Music 2009
## 139 Music 2006
## 140 Entertainment 2018
## 141 Entertainment 2012
## 142 People & Blogs 2021
## 143 Entertainment 2016
## 144 Entertainment 2014
## 145 Shows 2007
## 146 Comedy 2014
## 147 People & Blogs 2014
## 148 Entertainment 2020
## 149 Entertainment 2008
## 150 Music 2007
## 151 Music 2009
## 152 Music 2010
## 153 Comedy 2010
## 154 People & Blogs 2016
## 155 Trailers 2005
## 156 Film & Animation 2020
## 157 Gaming 2014
## 158 Music 2007
## 159 People & Blogs 2008
## 160 People & Blogs 2011
## 161 Entertainment 2006
## 162 nan 2020
## 163 Film & Animation 2006
## 164 People & Blogs 2018
## 165 Entertainment 2010
## 166 People & Blogs 2008
## 167 Education 2006
## 168 Gaming 2006
## 169 Howto & Style 2006
## 170 Gaming 2012
## 171 Music 2016
## 172 Music 2007
## 173 nan 2018
## 174 Entertainment 2011
## 175 Gaming 2014
## 176 Entertainment 2011
## 177 Entertainment 2017
## 178 Gaming 2020
## 179 Entertainment 2014
## 180 Entertainment 2014
## 181 Science & Technology 2016
## 182 Shows 2013
## 183 Music 2008
## 184 People & Blogs 2014
## 185 Gaming 2012
## 186 Entertainment 2013
## 187 Entertainment 2016
## 188 Howto & Style 2010
## 189 Music 2007
## 190 Music 2014
## 191 People & Blogs 2018
## 192 Sports 2009
## 193 Music 2006
## 194 Entertainment 2011
## 195 Music 2010
## 196 Comedy 2019
## 197 News & Politics 2008
## 198 People & Blogs 2014
## 199 Education 2018
## 200 Music 2020
## 201 nan 2018
## 202 People & Blogs 2017
## 203 Comedy 2011
## 204 Howto & Style 2008
## 205 Entertainment 2009
## 206 Entertainment 2019
## 207 nan 2019
## 208 Trailers 2009
## 209 Pets & Animals 2014
## 210 Music 2006
## 211 People & Blogs 2019
## 212 Entertainment 2017
## 213 People & Blogs 2016
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## 216 Education 2014
## 217 People & Blogs 2016
## 218 Entertainment 2011
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## 222 Comedy 2020
## 223 Autos & Vehicles 2013
## 224 Entertainment 2005
## 225 Entertainment 2017
## 226 Music 2011
## 227 Shows 2013
## 228 Entertainment 2014
## 229 Entertainment 2011
## 230 Autos & Vehicles 2007
## 231 Entertainment 2020
## 232 nan 2013
## 233 People & Blogs 2020
## 234 Music 2017
## 235 Music 2009
## 236 Entertainment 2013
## 237 Entertainment 2012
## 238 nan 2018
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## 241 People & Blogs 2018
## 242 Music 2016
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## 244 Music 2008
## 245 Music 2011
## 246 Gaming 2016
## 247 Entertainment 2019
## 248 People & Blogs 2017
## 249 Entertainment 2005
## 250 Music 2016
## 251 Music 2005
## 252 Education 2015
## 253 People & Blogs 2016
## 254 nan 2013
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## 259 Comedy 2014
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## 261 Music 2014
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## 263 People & Blogs 2017
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## 273 People & Blogs 2014
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## 282 Music 2010
## 283 Film & Animation 2014
## 284 Howto & Style 2018
## 285 People & Blogs 2021
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## 288 Entertainment 2017
## 289 Shows 2013
## 290 Entertainment 2006
## 291 Entertainment 2014
## 292 Music 2014
## 293 Entertainment 2014
## 294 Music 2011
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## 297 Education 2020
## 298 Entertainment 2008
## 299 Entertainment 2010
## 300 Music 2013
## 301 Entertainment 2011
## 302 People & Blogs 2017
## 303 Music 2011
## 304 Comedy 2014
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## 306 People & Blogs 2012
## 307 Education 2013
## 308 People & Blogs 2013
## 309 News & Politics 2007
## 310 Entertainment 2010
## 311 Comedy 2021
## 312 Comedy 2012
## 313 Music 2006
## 314 Education 2014
## 315 Music 2005
## 316 nan 2012
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## 319 Music 2010
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## 321 People & Blogs 2016
## 322 Entertainment 2012
## 323 Film & Animation 2006
## 324 Howto & Style 2015
## 325 Entertainment 2015
## 326 Entertainment 2017
## 327 Gaming 2009
## 328 Comedy 2017
## 329 Music 2007
## 330 Shows 2006
## 331 Film & Animation 2014
## 332 Entertainment 2010
## 333 Music 2016
## 334 Pets & Animals 2014
## 335 Education 2016
## 336 People & Blogs 2014
## 337 Howto & Style 2009
## 338 Music 2009
## 339 nan 2018
## 340 Sports 2006
## 341 Comedy 2011
## 342 Pets & Animals 2006
## 343 People & Blogs 2008
## 344 nan 2022
## 345 Music 2006
## 346 People & Blogs 2013
## 347 Music 2008
## 348 Entertainment 2006
## 349 Comedy 2013
## 350 Entertainment 2017
## 351 Entertainment 2017
## 352 Gaming 2012
## 353 Education 2006
## 354 Entertainment 2014
## 355 Entertainment 2011
## 356 Film & Animation 2006
## 357 Entertainment 2015
## 358 Entertainment 2017
## 359 Entertainment 2016
## 360 Comedy 2014
## 361 News & Politics 2009
## 362 People & Blogs 2018
## 363 Comedy 2015
## 364 Education 2016
## 365 Music 2016
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## 376 Entertainment 2009
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## 404 Comedy 2010
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## 417 Gaming 2017
## 418 Gaming 2012
## 419 People & Blogs 2016
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## 421 Entertainment 2014
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## 446 Entertainment 2016
## 447 Entertainment 2017
## 448 People & Blogs 2018
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## 451 Comedy 2007
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## 453 Gaming 2012
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## 455 People & Blogs 2021
## 456 People & Blogs 2005
## 457 Music 2005
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## 459 Entertainment 2018
## 460 Film & Animation 2016
## 461 Film & Animation 2011
## 462 Music 2005
## 463 Entertainment 2012
## 464 Music 2012
## 465 Music 2014
## 466 Howto & Style 2018
## 467 nan 2016
## 468 Entertainment 2006
## 469 Entertainment 2014
## 470 News & Politics 2006
## 471 Sports 2017
## 472 People & Blogs 2015
## 473 Music 2005
## 474 Music 2009
## 475 Music 2012
## 476 Music 2008
## 477 Music 2007
## 478 Education 2010
## 479 Music 2015
## 480 Education 2017
## 481 Gaming 2017
## 482 Howto & Style 2011
## 483 News & Politics 2018
## 484 Entertainment 2012
## 485 Entertainment 2006
## 486 People & Blogs 2014
## 487 Music 2009
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## 489 Entertainment 2022
## 490 Entertainment 2015
## 491 People & Blogs 2006
## 492 Film & Animation 2006
## 493 Music 2014
## 494 Entertainment 2011
## 495 Entertainment 2012
## 496 Entertainment 2012
## 497 Entertainment 2006
## 498 Music 2011Created a data frame from a random sample containing the columns ‘Youtuber’, their ‘category’ and ‘created_year’. The sample is 50% of the data.
Columns used for creating random samples: 1.Category 2.Video Views 3.Subscribers 4.Country 5.Youtuber 6.highest yearly earnings 7.uploads 8.created year
Scrutinizing the data:
- How different are they?
At first, let us look at the differences between all the random samples of dataframes. We have 6 six dataframes: df1, df2, df3, df4, df5 and df6.
df1 and df2 have are based on two different categorical columns ‘category’ and ‘Country’ but contain the same numerical attributes ‘subscribers’ and ‘video views’.
df3 and df4 are based on the same categorical column ‘Youtuber’ but contain different numerical attributes being ‘uploads’ and ‘highest yearly earnings’.
df5 and df6 are based on same categorical column ‘Youtuber’ and same numerical column ‘created year’ but are differentiated with the categorical columns ‘category’ and ‘Country’.
Now within the pairs of dataframes mentioned above, let us look some differences between the pairs.
For df1 and df2:
summary(df1$video.views)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.000e+00 4.356e+09 7.918e+09 1.078e+10 1.320e+10 1.480e+11summary(df2$video.views)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.000e+00 4.123e+09 7.740e+09 1.048e+10 1.340e+10 1.010e+11summary(df1$subscribers)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 12300000 14400000 17500000 22437349 24075000 159000000summary(df2$subscribers)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 12300000 14200000 17950000 23279116 24375000 170000000The differences between df1 and df2 can be assessed by the differences in the summary values of their respective matching numerical attributes. We can see that the mean video views for df2 is 171 million more than df1. This shows that df2 has those Youtube channels with greater views than df1. Another noticeable difference is the minimum and maximum values for the subdcriber count of both samples. It can be seen that minimum value for df1 and df2 is similar. However, the maximum subscriber count for df2 is way higher than df1 and so is the mean as well. This shows that df2 has Youtube channels with greater subscribers than df1.
For df3 and df4:
length(setdiff(df3$Youtuber,df4$Youtuber))## [1] 245length(setdiff(df4$Youtuber,df3$Youtuber))## [1] 241The differences between df3 and df4 can be assessed by the checking the Youtube channels that are in df3 but not in df4 and similarly those in df4 but not in df3. After analyzing this, we notice there are 233 Youtube channels in df3 that are not in df4, and there are 250 Youtube channels in df4 but not in df3.
For df5 and df6:
length(setdiff(df5$Youtuber,df6$Youtuber))## [1] 231length(setdiff(df6$Youtuber,df5$Youtuber))## [1] 230find_mode <- function(x) {
uniq_x <- unique(x)
freq_x <- table(x)
mode_values <- uniq_x[which.max(freq_x)]
return(mode_values)
}
find_mode(df5$created_year)## [1] 2013find_mode(df6$created_year)## [1] 2015The differences between df5 and df6 can be assessed by checking the Youtube channels that are in df5 but not in df6 and similarly those in df6 but not in df5 After analyzing this, we notice there are 251 Youtube channels in df5 that are not in df6, and there are 256 Youtube channels in df6 but not in df5. Another analysis that can be done is to find the most occured created year in each dataframe. It noticed that the most occurred year in df5 is 2009 and for df6 it is 2020. This shows that df5 contains Youtube channels that are relatively old. However df6 contains Youtube channels that are relatively new.
- What would you have called an anomaly in one sub-sample that you wouldn’t in another?
- Youtubers in df3 and df4:
df3[!duplicated(df3$Youtuber) & !duplicated(df4$Youtuber, fromLast = TRUE), ]## Youtuber
## 1 BIGBANG
## 2 Jess No Limit
## 4 Willyrex
## 7 Drake
## 16 Topper Guild
## 21 AzzyLand
## 25 MrBeast
## 27 penguinz0
## 28 BBC News Hindi
## 30 Shakira
## 31 Camila Cabello
## 32 Jass Records
## 33 DM - Desi Melodies
## 34 Lyrical Lemonade
## 35 Ariana Grande
## 39 Zee Music Company
## 40 DLS News
## 44 People Vs Food
## 47 DeToxoMoroxo
## 48 Felipe Neto
## 49 Migos ATL
## 50 SIS vs BRO
## 53 Zach King
## 55 Jason Derulo
## 58 Shemaroo
## 59 Noor Stars
## 60 YouTube Movies
## 61 shfa
## 62 les boys tv2
## 64 Mrwhosetheboss
## 65 Canal Canalha
## 67 TheOdd1sOut
## 69 Masha y el Oso
## 70 HUBA��
## 71 Dangal TV Channel
## 72 Trakin Tech
## 73 Duo Tiempo De Sol
## 74 Harsh Beniwal
## 75 SCTV
## 76 Liza Koshy
## 79 Prime Video India
## 80 VanossGaming
## 84 Renato Garcia YT
## 85 Peet Montzingo
## 88 DJ Khaled
## 91 How Ridiculous
## 92 RobleisIUTU
## 93 Totoy kids - Espa�\xef
## 94 SOMOY TV
## 95 Emiway Bantai
## 96 TWICE
## 97 BBC News
## 99 KatyPerryVEVO
## 100 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd KIMPRO
## 101 Wow Kidz Action
## 102 Justin Bieber
## 104 Billie Eilish
## 105 Kurzgesagt �����\xef\xbf
## 106 Kimberly Loaiza
## 108 Ishaan Ali 11
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## 113 Diana and Roma EN
## 121 BETER B��
## 122 Infinite
## 124 BuzzFeedVideo
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## 131 netd m�\xef\xbf
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## 135 JD Pantoja
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## 148 mmoshaya
## 149 Zhong
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## 154 O Reino Infantil
## 157 H2ODelirious
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## 160 Beast Philanthropy
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## 172 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfdSULGI
## 173 Unbox Therapy
## 174 Sports
## 176 Troom Troom India
## 177 Taylor Swift
## 179 Disney Latinoam��
## 180 Smosh
## 181 Like Nastya Stories
## 182 Knowledge Tv ������
## 186 BRIGHT SIDE
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## 188 Dream
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## 191 Sonotek Bhakti
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## 193 Goldmines Dishoom
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## 203 CKM
## 204 LooLoo Kids - Nursery Rhymes and Children's Songs
## 205 Ch3Thailand
## 206 Rub������
## 209 Sony PAL
## 210 Maluma
## 211 Roman Atwood Vlogs
## 212 enchufetv
## 213 FACT FIRE KING
## 215 EminemMusic
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## 218 J Balvin
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## 220 Hacksmith Industries
## 221 Gibby :)
## 222 DALLMYD
## 226 Saregama Music
## 231 KL BRO Biju Rithvik
## 232 NikkieTutorials
## 233 Eros Now Music
## 234 HAR PAL GEO
## 236 Mis Pastelitos
## 241 Jennifer Lopez
## 242 Happy Lives
## 244 Tu COSMOPOLIS
## 245 Valentina Pontes ofc
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## 254 KSI
## 257 Health Time
## 258 Painzeiro
## 260 TazerCraft
## 261 Rclbeauty101
## 262 Chetan Monga Vlogs
## 263 toyorbabytv
## 265 Pop Chartbusters
## 268 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd Liziqi
## 269 Katakit Baby TV
## 271 Like Nastya VNM
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## 279 CVS 3D Rhymes & Kids Songs
## 280 Super JoJo - Nursery Rhymes & Kids Songs
## 281 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd one31
## 285 Nicki Minaj
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## 298 Luis Fonsi
## 299 BUDI01 GAMING
## 301 Lofi Girl
## 302 MR. INDIAN HACKER
## 306 The Tonight Show Starring Jimmy Fallon
## 307 FFUNTV
## 310 Panda Shorts
## 311 Manual do Mundo
## 313 Katy Perry
## 316 Saad Lamjarred | �����\xef\xbf
## 317 toycantando
## 318 Rans Entertainment
## 319 5-Minute Crafts FAMILY
## 320 Pitbull
## 323 StudyIQ IAS
## 325 Veritasium
## 326 EnriqueIglesiasVEVO
## 327 Blippi - Educational Videos for Kids
## 328 Spinnin' Records
## 329 Morgz
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## 331 Antrax
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## 337 Desi Gamers
## 338 Lil Nas X
## 339 shfa2 - ��
## 341 Jkk Entertainment
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## 343 Wave Music Bhojpuri
## 344 Eva Bravo Play
## 346 Anitta
## 348 Peppa Pig - Official Channel
## 350 James Charles
## 353 Lindsey Stirling
## 354 Sun TV
## 358 ZAMZAM ELECTRONICS TRADING
## 359 HolaSoyGerman.
## 361 Zee Tamil
## 362 Skrillex
## 363 PowerKids TV
## 367 Maria Clara & JP
## 369 Peppa Pig em Portugu��������\xef\xbf
## 370 Diana and Roma ARA
## 372 Thairath Online
## 374 Rauw Alejandro
## 376 Kuplinov ��\xef\xbf
## 377 Salman Noman
## 378 Masha e o Urso
## 379 Fun For Kids TV - Hindi Rhymes
## 381 PlayStation
## 384 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 385 BigSchool
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## 387 Kiddiestv Hindi - Nursery Rhymes & Kids Songs
## 389 CrashCourse
## 392 Marta and Rustam
## 393 Vlad and Niki PRT
## 394 Jorge & Mateus Oficial
## 398 Neha Kakkar
## 399 Mundo Bita
## 400 Lokdhun Punjabi
## 401 Galinha Pintadinha
## 403 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd | Arab Games Network
## 404 \xfd\xfd\xfd Kids Roma Show
## 406 Boram Tube Vlog [��������\xef\xbf
## 407 National Geographic
## 408 Fueled By Ramen
## 411 Ultra Records
## 413 Zeinab Harake
## 414 Cyprien
## 416 5-Minute Crafts PLAY
## 417 WiederDude
## 418 Aditya Movies
## 420 MAIKI021
## 421 PopularMMOs
## 422 Zig & Sharko
## 423 Blockbuster Movies
## 425 Bounce Patrol - Kids Songs
## 427 Pen Movies
## 428 Good Mythical Morning
## 429 DaniRep | +6 V����������\xef
## 430 Daily Dose Of Internet
## 431 Family Fitness
## 434 Drawblogs
## 435 NDTV India
## 436 Sidhu Moose Wala
## 437 RS 1313 SHORTS
## 438 BBC
## 439 Crazy XYZ
## 441 EminemVEVO
## 445 Vilmei
## 446 Logan Paul
## 447 Village Cooking Channel
## 448 NichLmao
## 449 Goldmines Great Indian Comedy
## 453 ERB
## 455 Werever2morro
## 458 Vogue
## 460 Marvel Entertainment
## 461 DopeLyrics
## 462 Vijay Kumar Viner Vlogs
## 463 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd 5 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 465 El Reino a Jugar
## 467 Lotus Music
## 468 With Kids[����\xef
## 469 Boram Tube ToysReview [��������\xef\xbf
## 470 League of Legends
## 471 Maha Fun Tv
## 472 Davie504
## 475 Lana Del Rey
## 477 Marques Brownlee
## 478 That Little Puff
## 479 Green Gold TV - Official Channel
## 480 IndiaTV
## 481 Bollywood Classics
## 482 tanboy kun
## 488 Sebasti���
## 491 Rihanna
## 492 1theK (����\xef
## 493 Enes Batur
## 496 WorkpointOfficial
## 497 Top Viral Talent
## highest_yearly_earnings
## 1 2.000e+06
## 2 2.630e+07
## 4 7.395e+05
## 7 1.000e+00
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## 21 2.586e+05
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## 497 1.400e+06df4[!duplicated(df4$Youtuber) & !duplicated(df3$Youtuber, fromLast = TRUE), ]## Youtuber
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## 47 Dream
## 49 shfa
## 53 Camila Loures
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## 62 Alan Chikin Chow
## 64 It's Mamix
## 65 Aphmau
## 66 1theK (����\xef
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## 70 Rosanna Pansino
## 73 mmoshaya
## 74 Popular on YouTube
## 79 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 81 Linkin Park
## 83 The Vishal bhatt
## 86 Shawn Mendes
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## 98 Bruno Mars
## 99 DaniRep | +6 V����������\xef
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## 102 Ajay Sharma
## 104 Wolfoo Channel
## 105 WatchMojo.com
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## 109 Vlad v��\xef
## 111 Pencilmation
## 112 Go Ami Go!
## 113 Daftar Populer
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## 116 Maya and Mary
## 118 tabii Urdu
## 127 BUDI01 GAMING
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## 136 LosPolinesios
## 138 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd
## 140 Dan-Sa / Daniel Saboya
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## 145 GMA Integrated News
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## 149 TRANS TV Official
## 151 Family GamesTV
## 152 ABP NEWS
## 153 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd KIMPRO
## 154 Jelly
## 158 LeoNata Family
## 160 Coke Studio
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## 164 netd m�\xef\xbf
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## 170 EminemVEVO
## 172 Liza Koshy
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## 174 Caeli YT
## 175 Infobells Bangla
## 176 TommyInnit
## 177 DeToxoMoroxo
## 179 infobells - Tamil
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## 182 Ariana Grande
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## 186 Khan GS Research Centre
## 187 \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd \xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd | Arab Games Network
## 188 Jason Vlogs
## 189 Camila Cabello
## 190 Voot Kids
## 194 Neha Kakkar
## 200 AboFlah
## 204 FailArmy
## 205 Crescendo com Luluca
## 210 Shemaroo Comedy
## 212 Mariale
## 213 XXXTENTACION
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## 222 Darkar Company Studios
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## 244 Little Angel - M����������
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## 498 287The above code uses the duplicated function to identify Youtubers in each dataframe that have duplicates within the same dataframe. By comparing df3 with df4 and vice versa, the code identifies Youtubers in each dataframe that are unique, meaning they do not have duplicates within the same dataframe.In this context, these unique Youtubers are considered “anomalies” because they represent data points or observations that exist in one dataframe but do not have corresponding matches in the other dataframe. They stand out as different or uncommon observations when comparing the two dataframes. It is useful in identifying discrepencies in datasets.
- ‘created year’ in df5 and df6: Created a scatter plot between the categorical variable of df5 and df6 with ‘created_year’ to see any anomalies.
ggplot()+
geom_point(data=df5,aes(Country,created_year))+
theme(axis.text.x = element_text(angle = 90, hjust = 1))## Warning: Removed 1 rows containing missing values (`geom_point()`).
ggplot()+
geom_point(data=df6,aes(category,created_year))+
theme(axis.text.x = element_text(angle = 90, hjust = 1))
One major anomaly we notice in df6 that’s not in df5 is the presence of a youtuber with a ‘created_year’ of 1970. This is practically not possible as youtube was founded only at 2005. However, this anomaly isn’t present in df5 as we can see from the scatter plot of df2 that the youtube channels atleast exist since 2005.
- Video views less than subscribers as an anomaly.
ch1<-df1[df1$video.views < 0.5 * df1$subscribers & df1$video.views > 0,]
ch1## category video.views subscribers
## 348 Science & Technology 2634 23200000ch2<-df2[df2$video.views < 0.5 * df2$subscribers & df2$video.views > 0,]
ch2## Country video.views subscribers
## 470 Russia 439098 14900000The above checks if the “video views” are less than half of the “subscribers” count and greater than 0 for both df1 and df2. This is to see whether there are channels out there that receive significantly lesser viewership in comparison to their subscriber count. If that’s the case, we consider it as an anomaly. From our results, we see one such anomaly in df2 for a youtube channel that has only 2634 views but has about 23.2 million subscribers. However, such an anomaly doesn’t exist in df1.
- Are there aspects of data that are consistent across all sub-samples?
For this, we can consider the subsamples that have common attributes and find the respective that are consistent across these sub samples.
Common attributes amongst the dataframes/ subsamples:
- Category: df1 and df6 To check for the consistency between these sub-samples,we can find the intersect values for the attribute and use it to find the percentage of consistency.
a<-intersect(df1$category,df6$category)
a## [1] "Entertainment" "Comedy" "Gaming"
## [4] "Film & Animation" "Education" "Howto & Style"
## [7] "People & Blogs" "Music" "News & Politics"
## [10] "Sports" "Science & Technology" "Shows"
## [13] "nan" "Autos & Vehicles" "Trailers"b<-length(unique(df1$category))
c<-length(unique(df6$category))
avg<- (b+c)/2
length(a)## [1] 15length(a)/avg## [1] 0.9375The above code finds the common variables between the sub-samples, and then calculates the length of unique categories present in both sub-samples. From this, we get the average number of unique categories and is divided by the length of the intersection to obtain the percentage of consistency. In this way, we calculate the proportion of categories that are consistent in both sub-samples. After the calculation, we see that there is a 93.75% consistency for the categories present in both sub-samples. This shows that there is excellent consistency in categories among the sub-samples.
- Video Views: df1 and df2 To check for the consistency between these sub-samples, we can find the Pearson correlation coefficient for ‘Video views’.
cor(df1$video.views,df2$video.views,method="pearson")## [1] 0.05639789The correlation coefficient is -0.04224275. The indicates a degree of inconsistency or lack of consistency for ‘Video views’. But since this is more inclined towards 0, the sub-samples don’t completely disagree with each other.
- Subscribers: df1 and df2 To check for the consistency between these sub-samples, we can find the Pearson correlation coefficient for ‘Subscribers’.
cor(df1$subscribers,df2$subscribers,method="pearson")## [1] 0.005850112The correlation coefficient is -0.05700081. The indicates a degree of inconsistency or lack of consistency for ‘Subscribers’. But since this is more inclined towards 0, the subsamples don’t completely disagree with each other.
- Youtuber: df3, df4, df5, df6 To check for the consistency between these sub-samples,we can find the intersect values for the attribute and use it to find the percentage of consistency.
a<-a<-Reduce(intersect,list(df3$Youtuber,df4$Youtuber,df5$Youtuber,df6$Youtuber))
a## [1] "\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd\xfd"
## [2] "ADEL et SAMI"
## [3] "DM - Desi Melodies"
## [4] "DeToxoMoroxo"
## [5] "YouTube Movies"
## [6] "SCTV"
## [7] "TWICE"
## [8] "Ami Rodriguez"
## [9] "mmoshaya"
## [10] "SriBalajiMovies"
## [11] "H2ODelirious"
## [12] "Bruno Mars"
## [13] "KL BRO Biju Rithvik"
## [14] "Ricis Official"
## [15] "Nicki Minaj"
## [16] "Gallina Pintadita"
## [17] "Willie Salim"
## [18] "The Tonight Show Starring Jimmy Fallon"
## [19] "Sun TV"
## [20] "WiederDude"
## [21] "EminemVEVO"
## [22] "Village Cooking Channel"b<-length(unique(df3$Youtuber))
c<-length(unique(df4$Youtuber))
d<-length(unique(df5$Youtuber))
e<-length(unique(df6$Youtuber))
avg<- (b+c+d+e)/4
length(a)## [1] 22length(a)/avg## [1] 0.05573148The above code finds the common variables between the sub-samples, and then calculates the length of unique Youtubers present in the 4 sub-samples. From this, we get the average number of unique Youtubers and is divided by the length of the intersection to obtain the percentage of consistency. In this way, we calculate the proportion of Youtubers that are consistent in the 4 sub-samples. After the calculation, we see that there is about 7.044% consistency for the Youtubers present in the 4 sub-samples. This shows there is a huge inconsistency in Youtubers among the sub-samples.
- Country: df2, df5 To check for the consistency between these sub-samples,we can find the intersect values for the attribute and use it to find the percentage of consistency.
a<-intersect(df2$Country,df5$Country)
a## [1] "United States" "Canada" "nan"
## [4] "Saudi Arabia" "India" "Indonesia"
## [7] "Mexico" "South Korea" "Thailand"
## [10] "United Kingdom" "Latvia" "Brazil"
## [13] "United Arab Emirates" "Argentina" "Japan"
## [16] "France" "Spain" "Ukraine"
## [19] "Colombia" "Pakistan" "Egypt"
## [22] "Iraq" "Australia" "Philippines"
## [25] "Germany" "Turkey" "Russia"
## [28] "Afghanistan" "Chile" "Peru"b<-length(unique(df2$Country))
c<-length(unique(df5$Country))
avg<- (b+c)/2
length(a)## [1] 30length(a)/avg## [1] 0.8The above code finds the common variables between the sub-samples, and then calculates the length of unique countries present in both sub-samples. From this, we get the average number of unique countries and is divided by the length of the intersection to obtain the percentage of consistency. In this way, we calculate the proportion of countries that are consistent in both sub-samples. After the calculation, we see that there is a 80.0% consistency for the categories present in both sub-samples.
However, we can’t find the consistency of an occurrence among the 6 sub-samples since there isn’t any common variable among all the 6 sub-samples. But we were able to derive some valuable insights from the common attributes between the above pairs mentioned.
Conclusion:
How this investigation affects how you might draw conclusions about the data in the future?
By generating multiple subsamples, I gained insights into the robustness of your conclusions. If key patterns or trends are consistent across different subsamples, it provides more confidence that these patterns are representative of the population rather than artifacts of a specific sample.
Analyzing the subsamples allowed me to identify anomalies or outliers that may not be apparent in the full dataset. Anomalies that consistently appear across multiple subsamples may indicate real data issues or important phenomena.
The investigation allowed me to assess the generalizability of your findings.
Scrutinizing subsamples helped me gain insights into the underlying data structure.
By considering the variability and consistency across subsamples, I can make more informed decisions. For example, if I am conducting hypothesis testing or making predictions, understanding the variability helps me set realistic expectations for the accuracy of my results.