Introduction Data import and initial view Data cleaning (make salary fields numeric) What is the structure and summary of the dataset? How many observations and variables are in the dataset? Count of top job titles and companies (to use as grouping variable) Missing values check Correlation between numeric features Pairwise relationships (scatterplot matrix) Compare distributions of average salary across top job titles Compute summary statistics by job title (top few) Plot relationship between experience and average salary (colored by top job titles) Conclusions and next steps

How many unique movies are in the dataset after removing duplicates? Descriptive None 2 What are the column names and their data types in the dataset? Descriptive None 3 Are there any missing values in the dataset, and how are they distributed? Descriptive None 4 What is the range (min, max, mean) for Budget, Worldwide_Sales, ROI, and Runtime_Minutes? Descriptive None 5 How many movies fall under each budget category (Low, Medium, High)? Descriptive None