Rating Distribution
Analyzing how movie ratings are distributed across the dataset
Understanding Audience Ratings
This visualization explores how movie ratings are distributed across our dataset. By analyzing the distribution patterns, we can identify common rating behaviors, biases, and trends in how audiences evaluate films.
Power BI Visualization
Key Insights
Rating Patterns
Our analysis reveals that movie ratings follow a slightly right-skewed distribution, with a mean rating of approximately 6.3 out of 10. This suggests a general positive bias in how audiences rate films.
Rating Clusters
We identified distinct clustering around certain rating values, particularly at whole and half-point marks (e.g., 7.0, 7.5), indicating that viewers tend to gravitate toward these "anchor" values when rating films.
Temporal Trends
The distribution of ratings has evolved over time, with more recent films (post-2010) showing a slightly higher average rating and narrower distribution compared to older films, suggesting changing audience expectations or rating behaviors.