Hubway Data
Visualization Challenge

By Beibei Yang

Here I present my visualizations and key findings of the Hubway Trip Data in an infographic style. With the belief that visualization is not about emphasizing fancy graphics, but acting as one of the most powerful tools to perform data analysis, communicate results and provide key findings on Big Data, my goals are to understand the data, disclose hidden patterns, and come up with insights for the Hubway management. My submission takes into account many attributes including user age, gender, trip, station, geography, time, season, neighborhood, and station performance. Tools used: Adobe Illustrator, MySQL, Python, R, and Weave. External data source: Median Income in the Past 12 Months from

A higher resolution of my infographic is available at:

Special thanks to David Dietrich (@imdaviddietrich) for the valuable feedback