PROJECT MEMBERS:

• Brad Johnson
• Chau Nguyen

GOALS: Provide Microsoft with actionable insights on how to start a movie studio.

1. Provide analysis on most financially successful genres (profitable, high ROI)
2. Provide insights on movie-goers most highly rated genres

FILE SUMMARY:

Deliverables

1. index.ipynb
2. mod1_movie_deck.pdf
3. data/movie_data.csv.gz
4. data/movie_data_genre_breakout.csv.gz

Python Module

1. movie_data.py
2. movie_data/chart.py
3. movie_data/clean.py
4. movie_data/split_fields.py

Data cleaning and EDA Notebooks

1. notebooks/generate_clean_dataframe.ipynb
2. notebooks/load_data_tables.ipynb
3. notebooks/split_data_tables.ipynb
4. notebooks/movie_eda.ipynb
5. notebooks/more_movie_eda.ipynb

To load the datafis-mod1-project

FIS project one repo

import movie_data as md

rootdir = 'mydata/' # default is 'data/'
df = md.generate_movie_analysis_df(rootdir)