Properly collecting and organizing data is important, but without a way to show the results to others in a meaningful format, data becomes much less useful. Visualizing data in the form of an image allows you to identify trends and comparisons that may be difficult to see in a list of values. Graphs, plots, and charts are the primary methods of data imaging.
Graphs and charts come in a bewildering array of shapes, sizes, and types, but there are a number of them that are used quite regularly and that form the basis for many others.
In this chapter, you will learn how to construct and interpret many common data visualizations.
Students were given a quick review of data collection, and were taught about relative and cumulative frequencies before the bulk of the chapter detailed the process of constructing and interpreting various common data visualizations. Histograms, box plots, stem-and-leaf diagrams, scatter plots, line graphs, pie (circle) charts and frequency polygons were each separately taught.
After completing the lessons in this chapter, students should feel confident in their ability to create charts of specific types to display data and to read data from charts to draw conclusions.