This is the first capstone project in Flatiron School's Data Science program.
- Jupyter Notebook
- README.md
- Presentation Slides
- Blog Post
- Video Walkthrough of non-technical presentation
- A minimum of 4 meaningful data visualizations, with corresponding interpretations
- A minimum of 3 meaningful questions, answered through EDA
Microsoft announced that they are entering the movie industry and created a new movie studio. However, they are lacking knowledge in the movie making business. The goal of this project is to provide actionable insights and recommendations for Microsoft Movie Studios to develop highly profitable and rated movies by using data cleaning and visualization techniques.
- How much should Microsoft budget for a highly profitable movie?
- What is the most profitable month to release a movie?
- How much should Microsoft budget for higher ratings?
- What is the most profitable movie length?
- zippedData: collection of data provided for this project
- EDA 1 and EDA 2: drafts of EDA
- student.ipynb: technical notebook
- presentation.pdf: presentation slides for non-technical stakeholders
- module_project_rubric.pdf
- README.md