seancarverphd / ds-project-1-movie-analysis

Movie Genre/Budget Analysis Read-me

Team members

• Joe McAllister
• Tim Christy
• Sean Carver

Summary

• This analysis attempts to identify movie genres with the highest profitability and lowest risk to investors and movie production studios.
• While this investigation focused on genre and budget.
• Horror/Mystery genres ROI were top performers, with ROIs beating their nearest peer genres by an order of magnitude (ROI ~16 v ~2).
• The study also provides ballpark budgets for films from various genres.

Responsibilities

• We took paired programming approach to this.
• Each team member contributed visualizations to the project

File Summary

• Movie_analysis_project_1_final_notebook.ipynb - Notebook containing code and analysis
• bom.movie.gross.csv.gz - raw data file
• imdb.name.basics.csv.gz - raw data file
• imdb.title.akas.csv.gz - raw data file
• imdb.title.basics.csv.gz - raw data file
• imdb.title.crew.csv.gz - raw data file
• imdb.title.principals.csv.gz - raw data file
• imdb.title.ratings.csv.gz - raw data file
• movie_analysis.py - raw data file
• project_1_presentation.pdf - Nontechnical summary of analysis and conclusions
• roi_v_budget_v_profit.png - png file containing scatterplot of ROI/budget/profit comparison
• rt.movie_info.tsv.gz - raw data file
• rt.reviews.tsv.gz - raw data file
• table.png - excel table image budget/roi data for top genres
• tmdb.movies.csv.gz - raw data file
• tn.movie_budgets.csv.gz - raw data file
• A README.md - Readme
• .gitignore
• LICENSE