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Visualize Geospatial Data Using Plotly and Mapbox

Getting Familiar with Unknown Data

Bar Chart Line Chart Stacked Area Chart Scatter Plot Box Plot Pie Chart Heatmap Geographical Map Exercise: Slopegraph and Dumbbell Chart Exercise: Trellis Chart, Column Chart, and Stacked Column Chart Exercise: Bubble Chart and Hex Bin Chart

Course Assessment

Assessment 1

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Data Visualization Using Plotly.js

Introducing the Concept of Information

Information Definition Asking the Right Questions Aggregation Binning Ordering Scales Decluttering Exercise: Concept of Information Quiz: Concept of Information

Data Modeling

Regression Kernel Density Estimation

Knowledge

The Concept of Knowledge

Setting the Context

Adding Annotations

Crediting Images and Data Sources

Adding Title and Subtitle

Exercise: Concept of Knowledge

Quiz: Knowledge

Wisdom

The Concept of Wisdom Adding a Call to Action Combining Multiple Charts Publishing the Story on the Web

Course Assessment

Assessment 2

Case Studies

Bike Vendors Small Restaurant

Wrap Up

Conclusion

Appendix

Installing Altair

Using Python Altair for Data Storytelling/

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Quiz: Knowledge

Test yourself on what you’ve learned in this chapter.

We'll cover the following...

In Altair, how do we implement each step of knowledge extraction as a separate layer in a chart?

By using the Altair() function

By using the transform_aggregate() method

By using the configure_axis() function

By creating separate encoding channels for each step

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