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Reflection

Through the data visualization process, it was difficult to process/filter the data to eliminate the biases of single factors. The dataset always has certain factors influences the accuracy of visualization. For example, I was trying to visualize the aggressive driving behavior related bicycle crashes, and cleaned out all driver behavior related factors, however, there were still many environment related factors would contribute to the bicycle crashes. Also, the heavy dataset requires higher performance computers to process the data, especially overlay different layers of data, and adding contours data made the visualization extremely difficult. Nevertheless, the visualized data could still reflect a concentration of crash area where planners or city officials could pay more attention to and make more impactful improvement around the area.


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