Data visualization is a relatively recent term that applies not only to the tables, graphs, and charts you saw in the course resources but also to a wide array of colorful, dynamic - even interactive - illustrations of data that you see on the web. In this discussion, you will look back at some very early attempts to turn data into a picture as well as move beyond the static displays in the textbook.

To learn about the early attempts at data visualization, read Seeing and Understanding Data (PDF). Download Seeing and Understanding Data (PDF).This document, co-authored by ERAU professor Dr. Beverly Wood, is part of a set of Primary Source Projects generated out of a National Science Foundation-funded curriculum project. The idea is to use original documents as an innovative way to discuss ways to display data that isn't the typical fare in textbooks. Complete the following for this discussion.

• Read sections 1-4.
• Select either one task that contains multiple parts -or- select at least two tasks.
• selected task or tasks by sharing your answers as your initial post.

Your initial post should be two to three paragraphs in length.

Make your initial post by the fourth day of the module week. Start your post by identifying the task number that you completed as well as the figure it relates to. For example, Task 7, Figure 5. Return to the discussion later in the module week to read and reply to at least two of your classmates' posts.

In your replies, explain what stood out about your classmates' posts and then give an example of data visualization that you have found helpful in your life. Discuss why you found it useful. Your replies should be at least one paragraph.

Review the Discussion Rubric for detailed grading instructions

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