Build a Data-centric Web App Using Streamlit

A data-centric web application is any application in which data is the main asset of the application, and the whole application revolves around it. In this project, we will work with a reduced version of the TLC Trip Record Data, which contains information on taxi trips in New York City. The dataset includes multiple columns detailing each trip, and you’ll enhance it further using the Google Maps Directions API.

In data science, data analysis is a major stream that focuses on understanding the data and making informed decisions based on the trends it reveals.

Streamlit is a Python library used for creating data-centric web applications due to its low-code nature, open-source status, and minimal web development knowledge required. To build the project, we will use Streamlit, allowing us to focus on data analysis without worrying about web development.

By the end of this project, you’ll have developed an interactive Streamlit dashboard that analyzes, visualizes, and helps interpret New York City taxi traffic data.