The goal of this lab is to review the numpy-pandas-matplotlib/seaborn toolchain.
You will practice loading data from file, manupulating the data in pandas DataFrame
, inspect data in pandas DataFrame
and visualize data with pandas, matplotlib and seaborn libraries.
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Review:
lab0-numpy.ipynb
lab0-pandas.ipynb
lab0-visualization.ipynb
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Download the auto mpg data set from UCI: https://archive.ics.uci.edu/ml/datasets/Auto%2BMPG
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Using auto mpg repeat steps in:
lab0-pandas.ipynb
, save aslab0-pandas-auto_mpg.ipynb
lab0-visualization.ipynb
, save aslab0-visualization-auto_mpg.ipynb
where appropriate. Instead of
gender
, useorigin
. Instead ofage
, usempg
. Or other suitable variabales of your choice. -
(optional) Review lab0_chicken_prep.ipynb
-
(optional) Complete lab0_chicken.ipynb
As described above, pandas, and visualization adapted to the auto mpg dataset in two files:
lab0-pandas-auto_mpg.ipynb
lab0-visualization-auto_mpg.ipynb
Commit changes to git with at least three (3) student commits.