Real-world data analysis and visualization using Python on social media and marketplace datasets.
Jupyter notebooks analyzing Instagram, Twitter, Airbnb, Grubhub, and more with data scraping, cleaning, visualization, and bot detection techniques.
| Notebook | Dataset |
|---|---|
| Instagram Followers - The Rock | Instagram analytics |
| Twitter Followers - Trump vs Obama | Twitter comparisons |
| Airbnb Listings - New York | Real estate analysis |
| Airbnb Occupancy Rates | Occupancy analytics |
| Instagram Hashtag - Cats vs Dogs | Hashtag analysis |
| Grubhub NYC Restaurants | Restaurant data |
| Instagram Repost Bot Detection | Bot detection |
| Layer | Technology |
|---|---|
| Language | Python |
| Libraries | Pandas, NumPy, Matplotlib, Seaborn |
| Data Sources | Instagram, Twitter, Airbnb APIs |
pip install pandas numpy matplotlib seaborn requests
jupyter notebookMIT