⚠️ Disclaimer: Open Analysis
+This post explores game data using statistical analysis. Please note that while I am an experienced engineer, +I am not a specialized Data Scientist. I have made the code and data available in GitHub for transparency. +If you find errors in the methodology or want to improve the model, I welcome your feedback and pull requests.
+ +]]>To get deeper insights, I needed better math than simple means.
How do you compare a movie with a 9.0 rating and 105 votes against an 8.2 rating with 500,000 votes? The latter score is more statistically significant.
-I adopted IMDb's own Weighted Rating formula. This "Bayesian average" pulls a movie's rating toward the global average (C) if it has few votes (v), -only allowing it to deviate as it gains more votes over a threshold (m).
-
I adopted IMDb's own Weighted Rating formula. This "Bayesian average" pulls a movie's rating toward the global average $C$ if it has few votes $v$, +only allowing it to deviate as it gains more votes over a threshold $m$.
+$$ +WR = \left( \frac{v}{v+m} \cdot R \right) + \left( \frac{m}{v+m} \cdot C \right) +$$
+Where:
+This provided a fair "Quality Score" for every movie.
I wanted to know the "potential" of a genre. Even if most Action movies are mediocre, how good are the very best ones?
diff --git a/public/sitemap.xml b/public/sitemap.xml index 2d630982f..08a3b2a63 100644 --- a/public/sitemap.xml +++ b/public/sitemap.xml @@ -2,58 +2,82 @@