In this workshop, we explore and develop insights about NYC’s Bubble Tea Shops using the Yelp Fusion API. Sections include:
- How to use the Yelp Fusion API,
- Data Cleaning, Wrangling and Visualizations in Python,
- A demo of our web app created in Jupyter Book and Streamlit
Additionally, questions we explore include bubble tea locations, Yelp ratings, review counts and price.
After an initial introduction of each section, participants will join break-out groups depending on which topic they would like to learn more about. These break-out sessions will be hands-on and interactive. Participants will then reconvene for a Q&A and final thoughts. Attendees will gain a better understanding of the data analysis workflow and will leave with skills and a template to uncover insights with any dataset.
This workshop recommends beginner-level proficiency with Python and is focused on applying Python to data analysis; however, those new to Python are gladly welcome!
Tools included in the workshop include:
- Jupyter Notebook
- Streamlit or Dash
- Yelp Fusion API (this is a free API that only requires registration)
A preview of the workshop can be found on GitHub here: https://github.com/mebauer/boba-nyc. For more information about requirements and library dependencies, please visit our GitHub page under the section Dependencies.