Excel Data Visualization: Mastering 20+ Charts and Graphs

Learn to use Excel for data visualization. Explore the most useful chart and graph tools, including scatterplots, histograms, sparklines, 3D power maps, and geospatial heat maps.

When you think data visualization, you might not think Microsoft Excel. But Excel offers a large number of charts and graphing tools that complement its data analysis toolset. This course offers a laser-focused, practical guide to over 20 useful Excel charts and graphs for data visualization. Instructor Chris Dutton reviews the key principles of data visualization, and provides some introductory tips to help you customize any kind of chart in Excel. In this section, you can learn how to adjust text and cell formatting, change the chart type and axes, and leverage built-in templates. In chapter three, Chris reviews the different chart types: from basic bar and pie charts, to scatter plots, histograms, funnel charts, and sparklines. Plus, learn how to create geospatial heat maps and 3D power maps, and combine different chart types on one sheet.

Introduction

• Part 1: Introduction

1. Data Visualization Best Practices

• Key principles and the 10-second rule
• The good, the bad, and the ugly
• The three key questions

2. Customizing Charts in Excel

• Setting expectations
• Chart elements, layouts, colors, and styles
• Chart formatting options
• Changing chart types and axis options
• Creating, modifying, and applying templates

3. Mastering Basic Charts and Graphs

• Bar and column charts
• Histograms and Pareto charts
• Line charts and trendlines
• Area charts
• Pies, donuts, and race tracks
• Scatter plots
• Bubble charts
• Box and whisker charts
• Tree maps and sunburst charts
• Waterfall charts
• Funnel charts
• Radar charts
• Stock charts
• Heat maps
• Surface and contour charts
• Geospatial maps (Power Map)
• Basic combo charts
• Sparklines

Wrapping Up

• Part 1: Conclusion