PopIn aims to enhance networking opportunities for event hosts on platforms like Meetup.com, Eventbrite.com, and Lu.ma. The goal of this project is to determine the ideal event sizes and locations that maximize networking potential. To achieve this, learners will scrape event data from these platforms and apply data science and analytics techniques to identify patterns and insights. The project will involve data collection, cleaning, analysis, and visualization to provide actionable recommendations for event hosts. This will help PopIn tailor their tool to better serve their users and improve networking outcomes.

Key tasks include:

- Scraping event data from Meetup.com, Eventbrite.com, and Lu.ma.

- Cleaning and preprocessing the collected data.

- Applying data science techniques to analyze the data.

- Visualizing the results to identify optimal event sizes and locations.

The project will result in a comprehensive report and a presentation that includes:

- A cleaned and processed dataset of events from the specified platforms.

- Analytical insights and visualizations identifying ideal event sizes and locations.

- Recommendations for PopIn on how to optimize their tool based on the findings.

Deliverables include:

- A detailed report summarizing the data analysis and findings.

- Visualizations that clearly depict the optimal event sizes and locations.

- A presentation to communicate the results and recommendations to PopIn.