Chris Myers (CAC), Jeff Sale (SDSC)
Cornell Center for Advanced Computing and San Diego Supercomputing Center

Revisions: 6/2023, 1/2021 (original)

Throughout the accompanying Jupyter notebooks, we have introduced related analyses that we have not described in detail in these pages, and made suggestions for further computations that can be carried out using the available data. Rather than provide separate exercises here, we encourage interested readers to examine and/or work through those notebooks to gain more experience with the relevant tools and techniques. On the following page, we repeat the links for the location of these various notebooks. We also include links to the interactive Bokeh visualizations we have created to examine retweet timelines and visualize hitting statistics in baseball.

Objectives

After you complete this segment, you should be able to:

  • Revisit material presented in this CVW roadmap and accompanying Jupyter notebooks to carry out additional data analyses
  • Develop answers to exercises posed in the accompanying materials
  • Use these materials as a starting point for additional data analyses you might be interested in
Prerequisites

If you are mostly interested in following along with the narrative discussion in this roadmap, and not in running any of the available code, then there is nothing left for you to do. If you are interested in running the accompanying code, then general familiarity with python, Jupyter, and git would be helpful.

 
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