1-1_Environment-Setup.md

Index

Part I: Data analysis

• 1.0 | Intro into the dataset
• 1.1 | Setup your data analysis environment
• 1.2 | Further readings on data analysis

Part II: Animated data stories

• 2.0 | About data stories
• 2.1 | Further readings on animated data stories

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1.1 Setup your data analysis environment

The following readme walks you through the suggested environment setup on your PC, for the data analysis part. We will use python3 and jupyter notebooks for our examples. Feel free to use any software/language, that matches your skills and requirements.

To execute the example notebooks the following software needs to be installed in advance. If you have parts already installed simply jump over to the next point.

Python

Download and install Python (We recommend python 3.9+). Simply follow the official installation instructions.

https://www.python.org/downloads/

If you have multiple python version installed PyEnv may be helpful.

virtualenv

You may want to use a virtual environment for this project. A good intro, why and how you should use it can be found in this article: https://realpython.com/python-virtual-environments-a-primer/

Create a new virtualenv

python3 -m venv YOUPATH/hackatum2021/venv

Activate the new environment:

source YOUPATH/hackatum2021/venv/bin/activate

Python Modules

Install at least the following python modules in your virtual environment:

pip install jupyter lab

pip install pandas

pip install matplotlib

pip install kats

pip pip install scikit-learn

Let's go!

Start Jupyter lab, open the URL shown in your terminal and explore the examples in notebooks/

jupyter lab

Next: 1.2 | Further Readings on data analysis