- Display basic statistics of the dataset (e.g., mean, median, max, min).
- Count the number of movies in each genre.
- Explore the distribution of movie ratings.
- Check the distribution of movie release years.
- Handle missing values in 'MetaScore', 'Gross', and 'Certification'.
- Decide on a strategy to impute or drop rows with missing values.
- Create a histogram to visualize the distribution of movie ratings.
- Plot a bar chart for the count of movies in each genre.
- Generate a box plot for 'Gross' to identify outliers.
- Identify the most common genre.
- Analyze the relationship between movie ratings and genres.
- Explore the distribution of movie run times for each genre.
- Find the most prolific directors.
- Identify popular stars based on the number of movies.
- Analyze the relationship between director and movie ratings.
- Explore the trend of movie releases over the years.
- Compare the average ratings of movies in different decades.
- Investigate the relationship between the year of release and gross earnings.
- Analyze the distribution of certifications.
- Compare movie ratings based on certification.
- Investigate correlations between 'Movie Rating', 'MetaScore', 'Gross', and other numeric columns.
- Perform sentiment analysis on movie descriptions.
- Visualize the most common words used in movie descriptions.
- Build a predictive model to estimate movie ratings based on available features.
- Create a recommendation system based on movie ratings and genres.