Python with Altair: An Introduction to Altair
Altair 4.1
| Beginner
- 8 videos | 52m 7s
- Includes Assessment
- Earns a Badge
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.
WHAT YOU WILL LEARN
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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
IN THIS COURSE
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1. Course Overview2m 19s
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2. Setting up Altair6m 36s
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3. Generating a Simple Altair Chart7m 31s
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4. Working with Wide Form and Long Form Data6m 58s
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5. Plotting a Histogram11m 33s
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6. Producing a Composite Chart11m 2s
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7. Working with Large Datasets4m 49s
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8. Course Summary1m 20s
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