/lab0-data-and-visualization-review-m-metz

lab0-data-and-visualization-review-m-metz created by GitHub Classroom

Primary LanguageJupyter Notebook

Lab0 - numpy-pandas-matplotlib review

Goal

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.

What to do

  1. Review:
  • lab0-numpy.ipynb
  • lab0-pandas.ipynb
  • lab0-visualization.ipynb

  1. Download the auto-mpg data set (auto-mpg.data and auto-mpg.names) from UCI: https://archive.ics.uci.edu/ml/datasets/Auto%2BMPG

  2. Using auto-mpg, repeat steps performed on heart-attack.csv in:

  • lab0-pandas.ipynb, save as lab0-pandas-auto_mpg.ipynb
  • lab0-visualization.ipynb, save as lab0-visualization-auto_mpg.ipynb

Instead of gender, use origin. Instead of age, use mpg. Or other suitable variabales of your choice.

  1. (optional) Review lab0_chicken_prep.ipynb

  2. (optional) Complete lab0_chicken.ipynb

What to hand in

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.