Skip to content

korbirayen/MovieMind

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MovieMind

Netflix style Movie Trend Analyzer


How to Execute :

1 / Execute in powershell or command line to clean data and save to cleaned.csv in data Folder
python -c "from source.cleaning import clean_data, save_cleaned_data; df = clean_data(); save_cleaned_data(df, 'data/cleaned.csv')" 
2 / Install and run the dashboard (Streamlit)
pip install -r requirements.txt
streamlit run dashboard/app.py

The app loads data/cleaned.csv, and provides:

  • Filters: type (MOVIE/SHOW/ALL), decade range, genre multi-select
  • Tabs: Overview, Genres, Ratings, Popularity, Countries, Compare (later)
  • Tabs: Overview, Genres, Ratings, Popularity, Countries, Map (big world heatmap), Compare
  • Theme: Light/Dark toggle (affects Plotly charts)

About

Netflix style Movie Trend Analyzer

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages