Netflix like Content Explorer & Activity Tracker

An interactive R Shiny application to explore the Netflix content library, receive personalized recommendations, and analyze user viewing activity.
The project demonstrates modular Shiny development, reusable services, and interactive visualizations.

---

Features

1. The Hub

• Search bar to quickly find titles.
• Horizontal content rails:
  • Recommended for You
  • Trending in USA
  • Recently Added
  • Top on IMDB Ratings
• Open search modal to suggest content by keyword (genre, country, language).

2. Explore Contents

• Sidebar filters: Type, Language, Title.
• Choropleth world map:
  • All Titles: density by country of origin.
  • Single Title: highlight origin country.
• Dynamic movie/show card with poster, cast, runtime, plot, and IMDB rating.

3. Track My Activity

• Analyze viewing history by day or month.
• Radar chart for average viewing by hour of day.
• Wordcloud of most-watched shows.
• Venn diagram to compare two users’ viewing overlaps.

---

Data Sources

• Netflix Movies & TV Shows Dataset (June 2021)

  • Public Kaggle dataset, scraped from IMDb.
  • ~7000 titles with details like title, type, genres, cast, runtime, plot, ratings, country, language.

• Netflix Watch Log Dataset

  • Public Kaggle dataset with viewing history of multiple users.
  • Used for activity tracking and analysis.

Note: Large raw datasets are excluded from this repo. Place sample data in data/.

---

Screenshots

The Hub

Movie Card

Global Analysis

Activity Analysis

---

Setup Instructions

1. Clone the repository

git clone https://github.com/<your-username>/netflix-explorer.git
cd netflix-explorer

2. Initialize R environment

Open R or RStudio and run:

install.packages("renv")
renv::restore()  # installs all dependencies listed in renv.lock

3. Run the app

shiny::runApp(".")

Development Notes

• Modularized: Each tab (Hub, Explore, Activity) has its own mod_*.R file.
• Data Service: svc_data.R ensures a single source of truth for datasets.
• Visualization Helpers: Radar charts, choropleths, Venn diagrams built via dedicated helpers.
• Styling: Netflix-inspired theme in www/styles.css.

Contributing

1. Create a new branch from main:

2. git checkout -b feature/my-improvement

3. Make your changes.

4. Commit and push:

git add -A
git commit -m "feat: describe your change"
git push origin feature/my-improvement

5. Open a Pull Request (PR) on GitHub.