MISSION 150

Visualizing Geographic Data

From scientific fields like meteorology and climatology, through to the software on our smartphones like Google Maps and Facebook check-ins, geographic data is always present in our everyday lives. Raw geographic data like latitudes and longitudes are difficult to understand using the data charts and plots we've discussed so far. To explore this kind of data, you'll need to learn how to visualize the data on maps.

In this mission, we'll explore the fundamentals of geographic coordinate systems and how to work with the Basemap library to plot geographic data points on maps. We'll be working with flight data from the Openflights website to understand which destination airport is the most common as well as which cities are the most important hubs for airports and airlines.

As you go through this mission as well as every mission at Dataquest, you will be given an opportunity to practice your skills with our interactive code editor with built-in answer checking to ensure you have completely mastered each concept before moving on to the next.

Upon completion of this mission, you will have completed the storytelling through data visualization course. If you've spent time understanding each concept before moving onto the next, you should have a solid foundation in data visualization for exploring data and communicating insights.

Objectives

  • Learn how to visualize geographic data.
  • Learn how to display geographic data on a world map.

Mission Outline

1. Geographic Data
2. Geographic Coordinate Systems
3. Installing Basemap
4. Workflow With Basemap
5. Converting From Spherical to Cartesian Coordinates
6. Generating A Scatter Plot
7. Customizing The Plot Using Basemap
8. Customizing The Plot Using Matplotlib
9. Introduction to Great Circles
10. Displaying Great Circles
11. Conclusion
12. Takeaways

storytelling-data-visualization

Course Info:

Beginner

The median completion time for this course is 6.5 hours. View Details

This course is requires a basic subscription. This course includes four missions and one guided project.  It is the fifth course in the Data Analyst in Python path and the Data Scientist in Python path.

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