TIM-5120 v1

Hayward, E. (2021, October 6). The starter guide to data visualizations. Klipfolio.
There is a short entry for many chart types that are commonly used in data visualization. You are free to examine all of them, but for the purposes of this class, we will be reviewing the following charts: bar, line, scatterplot, pie, waterfall, heat map, histograms, box plots, and area charts.

Wilke, C. O. (2019). Fundamentals of data visualization. O'Reilly Media, Inc.
Read Chapters 1, 2, and 5
Chapter 1. Introduction provides an overview—Chapter 2. Visualizing Data: Mapping Data onto Aesthetics defines the types of variables that can are typically represented in visualizations. Pay particular attention to Table 2-1 - Types of variables encountered in typical data visualization scenarios. Wilke’s (2019) terminology will be used throughout this course when discussing appropriate visualizations given the data/variable type. Chapter 5. Directory of Visualizations provides short examples of charts that are typically used to display data. While this chapter provides a brief overview, there are links to more in-depth coverage of figure types. In preparation for your Lesson 5 assignment, you are advised to read the sections pertaining to figures that you plan to use to satisfy the assignment requirements.

American Psychological Association. (n.d.) APA style: Figure setup.
This page describes the process and elements for setting up a figure based on the APA format. It references the figure components, principles of figure creation, and placement of figures in a paper. Sample figures in APA style are also included. Guidance regarding how to construct accessible figures is also included. Please use this reference as a base when constructing charts for your assignment.

Neidiger, Midori (2019, May 15). How to choose the best types of charts for your data. VennGage.
This is a powerful infographic that has both instructional and referential benefits. Please review and perhaps bookmark for future use. This infographic is included in the Lesson 5 Data Visualization interactive activity.

McFedries, P. (2013). Excel data analysis. [electronic resource] : your visual blueprint for analyzing data, charts, and pivotTables (4th ed.). John Wiley & Sons. Chapter 13, Visualizing Data with Charts. Pgs. 240 – 249.
This resource provides a cogent overview of the chart elements and formats in the context of Microsoft Excel. Although some of the contents are a bit redundant with other readings, it provides instruction that will be useful on your assignment and is worth a careful read.

Microsoft. (n.d.). Learn more about smartart grahics.
Please note that this course does not cover diagramming and various SmartArt graphics available in Microsoft Word. Technology Managers use SmartArt to document processes, illustrate concepts, and more. While not required in this course, knowing how to use MS Word SmartArt to help meet your communication goals is a valuable skill to have.