genesiriviboon/cs1951a-final-project

Michelle-and-the-weebs

cs1951a-final-project

Group: Michelle-and-the-weebs

Data Spec

First, the popular animes are extracted by ranking using MAL API [https://api.myanimelist.net/v2/anime/ranking] which give us the following

• 'node': json of
  • 'id': integer of anime's primary key
  • 'title': string of anime name
  • 'main_picture': json containing the medium and large icon of the anime poster (not used)
• 'ranking': json of
  • 'rank' : integer

From the dataset, we create a pandas table containing XXX rows of id, rank, and title

The details of the animes are then extracted from another MAL API [https://api.myanimelist.net/v2/anime/{anime_id}] with the following columns

• 'id': integer of anime's primary key (match from ranking data)
• 'title': string of anime name
• 'genres': list of genre of the anime including
  • XXX
• 'mean': number or null of mean rating (null if too small sample size)
• 'nsfw': 'white' | 'grey' | 'black' describing whether the anime is safe for work.
• 'popularity': integer
• 'status'
• 'num_list_users': Number of users who have this work in their list.
• 'related_anime': list of ids of the related anime
• 'rating': age rating of the anime (string)
  • g G - All Ages
  • pg PG - Children
  • pg_13 pg_13 - Teens 13 and Older
  • r R - 17+ (violence & profanity)
  • r+ R+ - Profanity & Mild Nudity
  • rx Rx - Hentai
• 'media_type'
  • unknown
  • tv
  • ova
  • movie
  • special
  • ona
  • music
• 'synopsis': string summarizing the plot and premises of the anime

Potential Area of Exploration

• create a network of related anime from the first XXX most popular anime and study its topology
• rating vs. mean vs. statistics

Roadblocks

• can only extracted up to 100 most popular animes.