This is a tutorial for making quick exploratory charts using Python's matplotlib graphing library, presented at the NICAR 2016 conference.
The workshop script is in a Jupyter notebook (.ipynb). It uses sample data in CSV format (co_air_quality.csv).
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Tutorial on visualizing data with matplotlib and pandas for NICAR16
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