Learners will analyze and interpret a box plot and evaluate the spread of the data. Learners will compare it with a different visualization of the data to see how the two compare, discuss the limitations of the two types of data displays and formulate questions.

Geospatial Information Scientists and Technologists research geospatial data or develop geospatial technologies. Geospatial data is data that has a geographic component associated with it, such as coordinates or an address, and geospatial technologies are the technologies used to collect and analyze geospatial data. 

Learn about volcanic ash and watch a visualization of the Calbuco volcano to see how ash travels around the world. 

This video addresses the following question: "We know that there are a number of ways that data can be visualized. Would you please describe your process for looking at the same data as represented by different graph types and how this helps inform your meaning making from the data?"

This video addresses the following question: "As you look at a data set(s) that has been collected, could you help us understand how you use data visualizations to shape new questions to explore further in the data set(s)?"

Interpret a scatter plot to find patterns in the number of tropical cyclones from 1842 to 2018.

A model analyst develops models to help visualize, observe, and predict complicated data. Model analysis is the process of taking large amounts of data and separate it into a structure that makes it intelligible to the binary process of computers. An analyst also manages the flow of information between different user groups through the use of relational databases.

Students watch a video explaining albedo and its impact on Earth. The video shows visualizations of albedo across Earth and how it can change. Students will interpret the images in the video and answer questions about albedo.

Every day, scientists at NASA work on creating better hurricanes on a computer screen. At NASA’s Goddard Space Flight Center in Greenbelt, Maryland, a team of scientists spends its days incorporating millions of atmospheric observations. Sophisticated graphic tools and lines of computer code to create computer models simulating the weather and climate conditions responsible for hurricanes.

Compare a histogram and map to determine the differences in the information conveyed in each data display.