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SkillSoft Explore Course

Aspire     Pythonista to Python Master     Python Master Track 2: Data Visualization for Web App Using Python

This course will get you familiar with the building blocks of Altair visualizations and some of the important chart settings. You will touch upon some of the fundamentals of plotting graphs in Altair. You'll start off by learning about the basic data structures that can form the basis of Altair visualizations, including JSON data and Pandas DataFrames in both wide-form and long-form. You'll then move on to plotting one of the simpler graphs, histograms, to visualize the distribution of values for a quantitative field in your dataset. While doing so, you'll get to explore the different ways in which Altair graphs can be customized including augmenting your chart with text, layering histograms to view two distributions together, and making histograms interactive.



Objectives

Python with Altair: An Introduction to Altair

  • discover the key concepts covered in this course
  • verify the correct Python version is installed on your system, run Jupyter notebook, and install Altair
  • create a pandas DataFrame and an Altair Data object and generate a bar chart
  • distinguish between wide form and long form data and use these formats to plot Altair charts
  • import in data to a DataFrame and create basic univariate histograms
  • augment a histogram with a rule marking the mean for the distribution and enable interaction with your chart
  • remove limits on dataset size set by Altair by default
  • summarize the key concepts covered in this course