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Description
- Overview:
- Modeling traffic data is important for urban planning, creating transportation systems, and even predicting how much foot traffic a retail store can expect in a given day. This genre of dynamic data science activities could be classified as “finding a needle in a haystack,” giving students a chance to mine big data to make insights about traffic use. According to the Bay Area Rapid Transit District, about 400,000 people used the BART system daily in 2018. In BARTy, students investigate BART data from 2015 to learn about passenger use and explore traffic patterns.
- Subject:
- Applied Science, Mathematics
- Level:
- High School
- Material Type:
- Activity/Lab
- Author:
- Concord Consortium
- Provider:
- Concord Consortium
- Provider Set:
- Concord Consortium
- Date Added:
- 05/14/2021
- License:
-
Creative Commons Attribution
- Language:
- English
- Media Format:
- Text/HTML
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