Dashboard Week Day 4: Anime Viewer Insights

Day 3 has arrived and for today DS52 will be analysing Anime view statistics! With Anime growing more popular in the West, it’s time to dive into data collected from myanimelist.net

It contains over 5000 unique Anime’s, 100,000 users and 8,000,000 lists with ratings.

  • The challenge: can you find a cool story in this data?
  • Tools: Tableau
  • Exploration/Cleaning/Reshaping: any tool you like

Data (I’d recommend using the _cleaned data files only, read the Data Card for more information):

https://www.kaggle.com/datasets/azathoth42/myanimelist?select=AnimeList.csv

Make sure to reference the source & data collectors before publishing as mentioned on Kaggle:
Matěj Račinský, “MyAnimeList Dataset.” Kaggle, 2018, doi: 10.34740/KAGGLE/DSV/45582

Looking forward to seeing your presentations at 3:30pm!

Author:
Robbin Vernooij
Powered by The Information Lab
1st Floor, 25 Watling Street, London, EC4M 9BR
Subscribe
to our Newsletter
Get the lastest news about The Data School and application tips
Subscribe now
© 2025 The Information Lab