Artometrics — Anime

The Artometrics of Japanese Animation Published at artometrics.com/anime

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About This Report

A data analysis of 13,631 anime titles from the MyAnimeList TidyTuesday dataset (April 2019). The report examines how the anime industry industrialized and diversified across a century, which studios produce consistent quality at scale, and how genre positioning maps onto popularity vs. critical reception.

Three charts:

1. Releases by Year by Type — Faceted line chart tracing the rise and fall of each format (TV, Movie, OVA, Special, ONA, Music) from the 1920s through 2018.

2. Studio Consistency — Dot plot with IQR bars ranking the top 20 studios (min 20 titles) by median MAL score, colored by TV share.

3. Genre Map — Bubble scatter plotting median popularity rank vs. median score for every major genre (min 80 titles), with size encoding volume.

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Data Source

MyAnimeList via TidyTuesday (April 23, 2019) https://github.com/rfordatascience/tidytuesday/tree/main/data/2019/2019-04-23

Data is loaded directly from the TidyTuesday GitHub raw URL — no local CSV dependency.

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File Structure

anime/
├── anime.qmd           # Main Quarto report
├── artometrics.css     # Shared Artometrics stylesheet
├── art-head.html       # Quarto header include (progress bar, fonts)
├── art-body.html       # Quarto body include (sidebar toggle, copy button)
├── charts/             # Generated chart PNGs (created on render)
│   ├── chart1_releases_by_year.png
│   ├── chart2_studio_consistency.png
│   └── chart3_genre_map.png
└── README.md

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How to Render

Open anime.qmd in RStudio. Always use Source mode — never Visual mode (Visual mode corrupts Quarto documents by converting sections into pipe tables).

Required packages:

install.packages(c(
  "tidyverse", "lubridate", "scales",
  "ggrepel", "ggtext", "ggridges"
))

Run → Render. Charts output to charts/ automatically via ggsave().

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Part of the Artometrics Series

Artometrics is a data-forward content brand analyzing creative industries. "The Economist for Artists."

• Website: artometrics.com
• GitHub: github.com/Artometrics