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