Live Report: View on RPubs
This report explores the Top Popular Anime dataset from MyAnimeList, analyzing trends across genres, studios, release years, and ratings. Using R and interactive visualizations, it uncovers insights into anime production patterns, studio performance, and viewer preferences—offering a foundation for recommendation systems and cultural analysis.
- Source: Kaggle – Top Popular Anime Dataset
- Total Entries: 28,825 anime titles
- Fields: Title, genre, type, episodes, score, studio, producers, airing dates, etc.
- Missing Data Visualization: Highlights columns with high null values (e.g., trailers, producers)
- Genre Insights:
- Most common genre: Comedy
- Highest average scores: Drama, Fantasy, Action
- Studio Performance:
- Most prolific: Madhouse, Bones, Sunrise
- Highest-rated: White Fox, Wit Studio
- Temporal Trends:
- Surge in anime production post-2000
- Stable average scores over time
- Type & Episode Analysis:
- Dominance of TV series
- Weak correlation between episode count and score
- Recommendation Engine:
- Content-based filtering by genre and score threshold
Built using ggplot2 and plotly:
- Score distribution
- Genre frequency
- Studio rankings
- Yearly production trends
- Correlation matrix
tidyverselubridateplotlyDTcorrplot- R Markdown for report generation
This analysis reveals meaningful insights into anime trends, studio influence, and genre popularity. It serves as a foundation for building recommendation systems, conducting market research, or exploring cultural shifts in anime over time.