In this project, I worked with a dataset containing around 50 thousand rows of data related to London bike rides. The primary goal was to gain insights and visualize key aspects of bike rides in the city.

The project involved several key steps:◼ Data Cleaning: Ensured data accuracy by handling missing values and duplicates.◼ Exploration: Identified trends and patterns in bike rides through exploratory data analysis.◼ Custom Visualizations: Designed Tableau visualizations, including calculated fields, to highlight key ride insights.