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Avoiding Data Pitfalls – How to steer clear of common blunders when working with data and presenting analysis and visualizations (Paperback)
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Avoiding Data Pitfalls – How to steer clear of common blunders when working with data and presenting analysis and visualizations (Paperback)
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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. Workers in almost every industry are
now commonly expected to effectively analyze and present data, even
with little or no formal training. There are many pitfalls some
might say chasms in the process, and no one wants to be the source
of a data error that costs money or even lives. This book provides
a full walk-through of the process to help you ensure a truly
useful result. * Delve into the "data-reality gap" that grows with
our dependence on data * Learn how the right tools can streamline
the visualization process * Avoid common mistakes in data analysis,
visualization, and presentation * Create and present clear,
accurate, effective data visualizations To err is human, but in
today's data-driven world, the stakes can be high and the mistakes
costly. Don't rely on "catching" mistakes, avoid them from the
outset with the expert instruction in Avoiding Data Pitfalls.
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