Instructions

Development Environment

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

MyBinder

Go to: https://mybinder.org/v2/gh/JKU-ICG/va_python_dashboard/master?urlpath=lab and open the template.ipynb notebook.

Local

Checkout this repo and change into the folder:

git clone https://github.com/JKU-ICG/va_python_dashboard
cd va_python_dashboard

Create a new environemnt and install the packages:

conda env create -f environment.yml
conda activate python-tutorial

Hint: For more information on Anaconda and enviroments take a look at the README form our tutorial repository.

Optional: Install Jupyter Lab extension for ipywidgets:

jupyter labextension install @jupyter-widgets/jupyterlab-manager

Then launch Jupyter Lab :

jupyter lab

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

Tasks

Perform the following tasks. You can use all or a subset of the data for the tasks. Additional data-wrangling may be necessary. Then download the notebook (as HTML or the notebook itself) and submit it. You may also upload the notebook, the exported html and any other necessary files in a zip archive.

Dashboard

1. Inspect the data and attributes, e.g. with head(), and dtypes.
2. Select suitable attributes and visualize them in three visualizations
3. Define for two of the three visualizations crossfilters that are selections in the visualizations (e.g., with altair). You can also combine selections for the crossfiltering.
4. Interpret the findings/insight you could gain from your dashboard.