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Data Analytics Made Easy

You're reading from   Data Analytics Made Easy Analyze and present data to make informed decisions without writing any code

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801074155
Length 406 pages
Edition 1st Edition
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Author (1):
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Andrea De Mauro Andrea De Mauro
Author Profile Icon Andrea De Mauro
Andrea De Mauro
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Table of Contents (14) Chapters Close

Preface 1. What is Data Analytics? 2. Getting Started with KNIME FREE CHAPTER 3. Transforming Data 4. What is Machine Learning? 5. Applying Machine Learning at Work 6. Getting Started with Power BI 7. Visualizing Data Effectively 8. Telling Stories with Data 9. Extending Your Toolbox 10. And now?
11. Useful Resources 12. Other Books You May Enjoy
13. Index

Finalizing your visual

On top of the specific guidelines to follow for each type of chart, which we have encountered in the previous pages, there are some general quality design rules that apply every time. The common denominator of such rules brings us back to where we started at the beginning of the chapter: minimalism is the ultimate key to effective data visualization.

Yale University professor Edward Tufte has been a pioneer in modern data visualization. One of the key concepts he introduced is the data-ink ratio, which describes the prevalence of data-driven visual elements in a chart. Consider all the "ink" you use in a chart to draw the essential, non-redundant display of data information: if we erased these chart elements, we would also remove the underlying business message we wanted to convey. Now think about the total ink you would need to print the chart, which includes non-required legends, background pictures, unneeded text, and so on. Tufte found out that...

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