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Data Visualization in Excel: A Guide for Beginners, Intermediates, and Wonks (AK

TechSavy888
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eBay item number:127100681044
Last updated on May 30, 2025 08:09:02 PHTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Data Visualization in Excel: A Guide for Beginners, Intermediates
Level
Beginner
ISBN
9781032343266

About this product

Product Identifiers

Publisher
CRC Press LLC
ISBN-10
1032343265
ISBN-13
9781032343266
eBay Product ID (ePID)
25059018365

Product Key Features

Number of Pages
384 Pages
Language
English
Publication Name
Data Visualization in Excel : a Guide for Beginners, Intermediates, and Wonks
Subject
Business Communication / Meetings & Presentations, Data Visualization, General, Desktop Applications / Spreadsheets
Publication Year
2023
Type
Textbook
Subject Area
Mathematics, Computers, Business & Economics
Author
Jonathan Schwabish
Series
Ak Peters Visualization Ser.
Format
Trade Paperback

Dimensions

Item Weight
27.9 Oz
Item Length
9.7 in
Item Width
6.9 in

Additional Product Features

Intended Audience
Trade
LCCN
2022-055048
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.72
Table Of Content
Acknowledgements. PART ONE: SETTING THE STAGE. 1. Introduction. 2. How to Use This Book. 3. The Philosophy of Data Visualization in Excel. 4. Introduction to Making Graphs in Excel. 5. Fundamental Formulas Used in Building Your Graphs. 6. Building a Custom Color Palette in Excel. PART TWO: MAKING GRAPHS IN EXCEL. 7. Sparklines. 8. Heatmap. 9. Stripe Chart. 10. Waffle Chart. 11. Gantt Chart. 12. Comparing Values with Two Graph Types. 13. Broken Stacked Bar Chart. 14. Diverging Bar Chart. 15. Block Shading (Same Frequency). 16. Block Shading (Different Frequencies). 17. Mark an Event with a Line. 18. Dot Plot. 19. Slope Chart. 20. Overlaid Gridlines. 21. Lollipop Chart. 22. Bullet Chart. 23. Tile Grid Map. 24. Histogram. 25. Marimekko Chart. 26. Cycle Plot. 27. Strip Chart. 28. Raincloud Plot. 29. Making Better Tables. PART THREE: MOVING VISUALS OUT OF EXCEL. 30. Exporting Graphs from Excel. 31. Redesigns and Examples. 32. Conclusion. Appendix 1. Color Tools. Appendix 2. Data Visualization Tools. Appendix 3. Additional Excel Resources. Appendix 4. Quick Instructions List. References. Index.
Synopsis
Data Visualization in Excel closes the gap between what people think Excel can do and what they can actually achieve in the tool. Over the past few years, recognition of the importance of effectively visualizing data has led to an explosion data analysis and visualization software tools. But for many people, Microsoft Excel continues to be the workhorse for their data visualization needs, not to metnion the only tool that many data workers have access to. Although Excel is not a specialist data visualization platform, it does have strong capabilities. The default chart types do not need to be the limit of the tool's data visualization capabilities, and users can extend its features by understanding some key elements and strategies. This book provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations., Data Visualization in Excel provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations., This book closes the gap between what people think Excel can do and what they can achieve in the tool. Over the past few years, recognition of the importance of effectively visualizing data has led to an explosion of data analysis and visualization software tools. But for many people, Microsoft Excel continues to be the workhorse for their data visualization needs, not to mention the only tool that many data workers have access to. Although Excel is not a specialist data visualization platform, it does have strong capabilities. The default chart types do not need to be the limit of the tool's data visualization capabilities, and users can extend its features by understanding some key elements and strategies. Data Visualization in Excel provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations.
LC Classification Number
QA76.9.I52S394 2023

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