Traffic is an incredibly large issue in California. According to a 2015 U.S. census, seven of the top ten worst locations for commute (based on commute time) are located in California, which can lead to a plethora of other problems. As technology becomes more and more advanced and we have access to more and more data, opportunities arise for data-related problem solving, and the issue of traffic and collisions is no different. With access to data regarding both traffic and collisions, we have a lot of power to help answer some questions that we may have. However, we needed to have a general understanding of what all the data is and what it actually represents. Our first steps involved the translation of the data into visuals so that we can identify general trends and ideas that help us both answer and formulate more questions.
Traffic Collision Analysis
What trends can we figure out with traffic and collisions? Using the datasets given, can we visualize and conclude if driving in a certain area, time, or day is dangerous.
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