The advent of big data can provide urban planners faster insights to understanding the behaviors and needs of urban dwellers. However, it remains difficult for less technical users to understand the various raw data that can be collected from urban big data, such as commute patterns from public transportation smart cards. We are working on data visualization platforms to help urban planners and residents better interpret and understand their city by combining advanced techniques from machine learning and information visualization.