Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations 1st edition by Ben Jones – Ebook PDF Instant Download/DeliveryISBN: 1119278177, 9781119278177
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Product details:
ISBN-10 : 1119278177
ISBN-13 : 9781119278177
Author : Ben Jones
Avoid data blunders and create truly useful visualizations
Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they’re doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation.
Avoiding data pitfalls : how to steer clear of common blunders when working with data and presenting analysis and visualizations 1st Table of contents:
Chapter One: The Seven Types of Data Pitfalls
Seven Types of Data Pitfalls
Avoiding the Seven Pitfalls
“I’ve Fallen and I Can’t Get Up”
Notes
Chapter Two: Pitfall 1: Epistemic Errors
How We Think About Data
Avoiding the Swan Pitfall and the God Pitfall
Notes
Chapter Three: Pitfall 2: Technical Trespasses
How We Process Data
Notes
Chapter Four: Pitfall 3: Mathematical Miscues
How We Calculate Data
Notes
Chapter Five: Pitfall 4: Statistical Slipups
How We Compare Data
Notes
Chapter Six: Pitfall 5: Analytical Aberrations
How We Analyze Data
Notes
Chapter Seven: Pitfall 6: Graphical Gaffes
How We Visualize Data
Notes
Chapter Eight: Pitfall 7: Design Dangers
How We Dress up Data
Notes
Chapter Nine: Conclusion
Avoiding Data Pitfalls Checklist
The Pitfall of the Unheard Voice
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Tags: data pitfalls, common blunders, data, analysis, visualizations, Ben Jones