tik-tok.csv

Social media plays a big part in many people’s lives. The rise of TikTok influencers also gives rise to a mountain of data. The tik-tok.csv data include information on $n=50$ tik-tok influencers sampled in 2022. The data were made available on kaggle by Ram Jas.

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The attributes included in the data are:

• name: Tik-tok influencer’s handle
• views: Total number of views
• likes: Total number of likes
• comments: Total number of comments

Preview

# Load library
library(tidyverse)

# Import data
tik_tok <- read_csv(file = "https://raw.githubusercontent.com/zief0002/epsy-5261/main/data/tik-tok.csv")

# View data
tik_tok

# A tibble: 50 × 4
   name             views  likes comments
   <chr>            <dbl>  <dbl>    <dbl>
 1 Aaron Murphy   1500000 173400     1400
 2 Kevin Gates    3500000 413600     9400
 3 Cale Brown     2700000 459500     1500
 4 JustTheNobodys 1400000 175800     2200
 5 Vanessa Lopes  5900000 637100     6400
 6 𝙍𝙮𝙖𝙣𝘽𝙖𝙠𝙚𝙧𝙮     1600000 171300     2400
 7 Lele Pons      2200000 307400     1900
 8 icebox         3000000 277200     3300
 9 แจ็ก แปปโฮ      2800000 344100      766
10 Andrew Schulz  4000000 602200     2200
# ℹ 40 more rows