Instructions

Development Environment

You can either work online, via MyBinder, or locally.

MyBinder

Go to: https://mybinder.org/v2/gh/keckelt/Python-Heatmap-and-Scatterplot-Matrix/master?urlpath=lab and open the template notebook.

Local

Checkout this repo and change into the folder:

git clone https://github.com/keckelt/Python-Heatmap-and-Scatterplot-Matrix.git
cd Python-Heatmap-and-Scatterplot-Matrix/

You can reuse the conda environment from the tutorial:

conda activate python-tutorial

Then launch Jupyter :

jupyter lab

Goto http://localhost:8888/ and open the template notebook.

Tasks

Perform the following tasks. Then download the notebook as HTML and submit it. You can use all or a subset of the data for the tasks. Additional data-wrangling may be necessary.

Scatterplot Matrix

1. Inspect the data and attributes, e.g. with head(), and dtypes.
2. Select more than two attributes attributes (e.g. those of 2017) and create a scatterplot matrix.
3. Create a color-coded scatterplot matrix using the same attributes and an additional categorical attribute, e.g. with altair.
4. Interpret the results.

Heat map

1. Inspect the data and attributes, e.g. with head(), and dtypes.
2. Select suitable attributes and visualise the data in a heatmap, e.g. with seaborn
3. Interpret the results.