Week 07

Joining, Tidying and Visualizing Data

Lectures Notes:

• Pandas - Grouped Operations: html – Jupyter Notebook

• Pandas - Joining Data : html – Jupyter Notebook

• Data Visualization: html – Jupyter Notebook

Datasets

Download the datasets here

Slides

• Joining, Tidying and Visualizing Data

Readings

• Required Readings

  • Theory

    • Ch. 2: Visualizing data: Mapping data onto aesthetics - Fundamentals of Data Visualization - Wilke, Claus

    • Ch. 4: Color scales - Fundamentals of Data Visualization - Wilke, Claus

    • Ch. 5: Directory of Visualizations - datviz

    • Grammar of Graphics: How ggplot works by Kieran Healy

  • In-Practice

    • Making Plots With plotnine - i.e. ggplot in Python
    • Ch. 4: Visualization with Matplotlib - Python Data Science Handbook - VanderPlas, Jake - i.e. matplotlib and seaborn libraries

• Additional Resources and Suggested Materials
  • The Python Graph Gallery
  • Bokeh - For interactive Graphics
    • Bokeh User Guide
    • Bokeh Tutorial
• Either Fundamentals of Data Visualization - Wilke, Claus or Data Visualization: A practical introduction by Kieran Healy are amazing sources you can consult frequently