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Data has become the most powerful tool in business today, and
telling its story effectively is critical to decision making. Yet
color is the most neglected tool in data visualization. With this
book, author and DATAcated founder Kate Strachnyi provides the
ultimate guide to the correct use of color for representing data in
graphs, charts, tables, and infographics. Ideal for data and
business analysts, data scientists, and others who design
infographics and data visualizations, this practical resource
explores color tips and tricks, including the theories behind them
and why they work the way they do. ColorWise covers the psychology,
history, and culture of a number of different colors. This book is
also a useful teaching tool for learning about proper use of color
for data storytelling techniques and dashboarding. You'll explore:
The role that color theory plays in data visualization and
storytelling Various color techniques you can use to improve your
data visualizations How different colors affect your audience's
understanding of data visualizations How to use color intentionally
to help guide your audience Tips for using colors that can be
interpreted by individuals with color vision deficiency How to
apply the book's guidelines for use in your own projects
Build, design, and improve advanced business intelligence solutions
using Tableau's latest features, including Tableau Prep Builder,
Tableau Hyper, and Tableau Server Key Features Master new features
in Tableau 2021 to solve real-world analytics challenges Perform
geo-spatial, time series, and self-service analytics using
real-life examples Build and publish dashboards and explore
storytelling using Python and R integration support Book
DescriptionTableau is one of the leading business intelligence (BI)
tools that can help you solve data analysis challenges. With this
book, you will master Tableau's features and offerings in various
paradigms of the BI domain. Updated with fresh topics including
Quick Level of Detail expressions, the newest Tableau Server
features, Einstein Discovery, and more, this book covers essential
Tableau concepts and advanced functionalities. Leveraging Tableau
Hyper files and using Prep Builder, you'll be able to perform data
preparation and handling easily. You'll gear up to perform complex
joins, spatial joins, unions, and data blending tasks using
practical examples. Next, you'll learn how to execute data
densification and further explore expert-level examples to help you
with calculations, mapping, and visual design using Tableau
extensions. You'll also learn about improving dashboard
performance, connecting to Tableau Server and understanding data
visualization with examples. Finally, you'll cover advanced use
cases such as self-service analysis, time series analysis, and
geo-spatial analysis, and connect Tableau to Python and R to
implement programming functionalities within it. By the end of this
Tableau book, you'll have mastered the advanced offerings of
Tableau 2021 and be able to tackle common and advanced challenges
in the BI domain. What you will learn Get up to speed with various
Tableau components Master data preparation techniques using Tableau
Prep Builder Discover how to use Tableau to create a
PowerPoint-like presentation Understand different Tableau
visualization techniques and dashboard designs Interact with the
Tableau server to understand its architecture and functionalities
Study advanced visualizations and dashboard creation techniques
Brush up on powerful self-service analytics, time series analytics,
and geo-spatial analytics Who this book is forThis book is designed
for business analysts, business intelligence professionals and data
analysts who want to master Tableau to solve a range of data
science and business intelligence problems. The book is ideal if
you have a good understanding of Tableau and want to take your
skills to the next level.
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