This document summarizes a presentation about analyzing and visualizing London bike share data. It describes gathering over 400,000 data points from the bike share API over 48 hours, which was difficult to analyze and plot in Excel due to the large volume. It then discusses filtering, cleaning, and optimizing the data for computation before determining how to represent it. The presentation demonstrated visualizing the data using Processing and relied on bike IDs obtained through a Freedom of Information request. Further information is provided on the presenter and related projects.