MAL Dataset Analysis

Work in Progress...

Overview

Data Analysis using Rust on the top 4,985 most-popular anime on MyAnimeList as of November 2026, scraped via the Jikan v4 public API.

1.0 What im trying to find out

1.1 popularity and quality

1. Which anime attract huge viewerbase but fail to achieve critical acclaim? STATUS:
2. What titles maintain exceptionally high audience passion despite lower total member counts? STATUS:
3. What percentage of total listed members actually complete and rate a title? STATUS:

1.2 studio performance

1. Which studios consistently produce high-scoring anime versus high volume with variable quality? STATUS:
2. Do Movies or TV Series deliver higher ROI in user engagement per episode? STATUS:
3. Is there an optimal episode count range that maximizes final user score? STATUS:

1.3 genre and trends

1. Which genres command the largest share of total audience attention? STATUS:
2. How do scores compare across target demographics? STATUS:
3. Do Fall or Spring seasonal releases historically perform better than Winter or Summer releases? STATUS:

2.0 Dataset

Anime Dataset 2026 — 5,000 Titles from MyAnimeList

3.0 Resources

Rust for Data Scientists: Migration Path from Python in 2025

4.0 To do

• document findings and visualizations