Excel 2019 Charts: Easy Excel Essentials 2019, #2
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About this ebook
Charts are a fantastic tool for visualizing data. They can let you easily see patterns that a table of numbers doesn't show.
This book covers the most common types of charts, namely bar, column, pie, doughnut, and line charts as well as scatter plots and histograms.
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The Easy Excel Essentials 2019 series of titles are for intermediate-level users who want to focus on one specific topic such as PivotTables, Charts, Conditional Formatting, or the IF Functions.
The content of each title is extracted from either Excel 2019 Intermediate or Excel 2019 Formulas & Functions which cover intermediate-level Excel topics in more detail. These books are written using Excel 2019 and assuming that a user is working in that program. If you are using an older version of Excel, the Easy Excel Essentials series may be a better choice since it was written using Excel 2013 and for a more general audience of Excel users.
M.L. Humphrey
Hi there Sci Fi fans, my name is Maurice Humphrey.I am a Vermont native, husband, father, grandfather, well over 60, Navy veteran, retired IBM engineer, retired printer repairman, Graduated: Goddard Jr. College, VT Technical College, and Trinity College. Over the years I’ve written technical articles, taught technical classes, and presented at technical conventions.I’ve been reading science fiction for over 50 years now. First books were “Journey to the Centre of the Earth” by Jules Verne and “The Stars Are Ours” by Andre Norton. I’ve read and collected many great stories, and a considerable amount of junk ones as well. I’d say by now that I probably have a good idea of what I consider a good story.
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Excel 2019 Charts - M.L. Humphrey
Also by M.L. Humphrey
Listing of all books by M.L. Humphrey
Easy Excel Essentials 2019
Excel 2019 PivotTables
Excel 2019 Charts
Excel 2019 Conditional Formatting
Excel 2019 IF Functions
Excel Essentials 2019
Excel 2019 Beginner
Excel 2019 Intermediate
Excel 2019 Formulas & Functions
Access Essentials
Access for Beginners
Intermediate Access
Excel 2019 Charts
Easy Excel Essentials 2019 - Book 2
M.L. Humphrey
Contents
Introduction
Charts – Discussion of Types
Charts - Editing
Conclusion
Appendix A: Basic Terminology
About the Author
Copyright
Introduction
The Easy Excel Essentials 2019 series of titles are for intermediate-level users who want to focus on one specific topic such as PivotTables, Charts, Conditional Formatting, or the IF Functions.
The content of each title is extracted from either Excel 2019 Intermediate or Excel 2019 Formulas & Functions which cover intermediate-level Excel topics in more detail.
These books are written using Excel 2019 and assuming that a user is working in that program. If you are using an older version of Excel, the Easy Excel Essentials series may be a better choice since it was written using Excel 2013 and for a more general audience of Excel users.
With that introduction, let’s dive in on how to use Charts.
Charts – Discussion of Types
Charts are a great way to visualize your data. They take a big pile of numbers and turn them into a pretty picture. And, like they say, a picture is worth a thousand words.
I’m pretty good at recognizing patterns if you let me skim an entire data set, but a chart can show what I feel is true (such as that a large percent of sales are coming from one source) with just a few clicks and a big block of color.
Data Format
First things first, your data needs to be arranged properly to create a chart.
Specifically, for most of the charts we’re going to discuss, you need one set of labels across the top and one set down the side with values listed in the cells where those two intersect. Do not include subtotals if you can avoid it (you’ll have to select around them if you do) and same with grand totals (you’ll have to leave them out when you choose your cells). Also, don’t include anything in the top left corner of the table where the row labels and column labels intersect.
Here are two examples which would work equally well for this data set:
Data table layout oneThis is fictitious sales data for each month for various sales platforms. In the first example, the sales channels are listed down the side and the months