Meaningful Graphs: Converting Data into Informative Excel Charts
ISBN-13:
9780986054907
ISBN-10:
0986054909
Edition:
Illustrated
Author:
James M. Smith
Publication date:
2014
Publisher:
James M. Smith
Format:
Paperback
228 pages
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Book details
ISBN-13:
9780986054907
ISBN-10:
0986054909
Edition:
Illustrated
Author:
James M. Smith
Publication date:
2014
Publisher:
James M. Smith
Format:
Paperback
228 pages
Summary
Meaningful Graphs: Converting Data into Informative Excel Charts (ISBN-13: 9780986054907 and ISBN-10: 0986054909), written by authors
James M. Smith, was published by James M. Smith in 2014.
With an overall rating of 4.4 stars, it's a notable title among other
Quality Control & Management
(Running Meetings & Presentations, Business Skills, Computer Science, Data Modeling & Design, Databases & Big Data, Spreadsheets, Software, Management & Leadership) books. You can easily purchase or rent Meaningful Graphs: Converting Data into Informative Excel Charts (Paperback, Used) from BooksRun,
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And, if you're looking to sell your copy, our current buyback offer is $0.46.
Description
Meaningful Graphs is a concise and practical go-to guide for creating charts in Excel ® that clearly and accurately tell the story in your data. It incorporates (a) the graph design principles of the experts (applicable regardless of the software package used), (b) the software steps necessary to incorporate these principles into Excel ® 2010 charts, and (c) chart-related discussions of quality improvement (including Pareto charts), statistics (including run charts and correlations), and the use of graphs in PowerPoint ® presentations (including chart animation). Examples are taken from healthcare but the principles of graph design and Excel® techniques apply to all areas. Over 120 graphs are presented in full color, many with tables of data to facilitate practice.
Reading this book you'll learn:
Reading this book you'll learn:
- how to select the correct chart type for your data and how to format it to tell your story more effectively
- the nature of "chartjunk" and why the design of some charts requires mental gymnastics to interpret
- why looks can be deceiving (3-D charts)
- the appropriate use of color in charts
- why truncating the value axis of several types of charts is a fatal flaw
- how to determine whether a statistically significant change has occurred merely by calculating the mean or median and plotting the data
- the type of chart that one chart design expert refers to as a mortal sin
- why chart design experts disparage the use of pie charts and what they recommend in their place
- which of the six less frequently used chart types (area, stock, surface, doughnut, bubble, and radar) may have some value in healthcare applications
- how letting the data talk in their own terms often leads to problem solutions
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