MovieLens Dataset User-Movie Preference Analysis Report
Data Overview
This analysis is based on the MovieLens dataset, containing 6040 users、3883 movies and 1000209 original rating records。
User Profile Analysis
User Gender Distribution
User Age Distribution
User Occupation Distribution
Movie Distribution Analysis
Movie Genre Distribution
Movie Release Year Distribution
Top 20 Most Rated Movies
Rating Distribution Analysis
Rating Distribution
Average Rating by Movie Genre
Top 20 Highest Rated Movies (min. 100 ratings)
User Characteristics and Movie Preferences
Movie Genre Preferences by Gender
Movie Genre Preferences by Age Group
Preferences for Movies by Decade Across Age Groups
Relationship Between Gender and Average Rating
Conclusions and Insights
Through in-depth analysis of the MovieLens dataset, we found significant correlations between user characteristics (gender, age, occupation) and movie preferences. Key findings include:
- Significant differences in movie genre preferences between genders
- Age influences how users rate movies from different decades
- Occupational background correlates with genre preferences
These findings provide valuable reference for designing movie recommendation systems and developing movie marketing strategies.