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Data visualization with python

Level: Beginner - intermediate

Presentation: https://pyladiesams.github.io/visualisation-sep2019/ (navigate with arrow buttons)

Project description

Data visualization is important for both data exploration and data presentation. Hence, good visualization skills will help you to better understand your data and to find the best way to present that understanding to others. During the workshop, people will learn how to use matplotlib and seaborn to explore data and how to use these libraries to adapt the crude exploratory plots into publication ready plots.

Preparations:

Set up a Python 3 environment that can run Jupyter notebooks (Jupyter or Jupyterlab) and install the following libraries:

  • matplotlib
  • pandas
  • seaborn

The easiest way to do this is to install anaconda and install the libraries in your root environment: conda install matplotlib pandas seaborn

If you already have a running (ana)conda environment, you can use py3_pyladies_vis.yml to set up a separate enviroment: conda env create -f environment.yml

Requirements

  • Python 3
  • matplotlib
  • seaborn
  • pandas
  • jupyter or jupyterlab

Usage

  • Clone the repository
  • Start jupyter(lab) and navigate to the workshop folder

Credits

This workshop was set up by @pyladiesams and @margrietpalm