Illustrate your data in a more interactive way by implementing data
visualization principles and creating visual stories using Tableau
About This Book * Use data visualization principles to help you to
design dashboards that enlighten and support business decisions *
Integrate your data to provide mashed-up dashboards * Connect to
various data sources and understand what data is appropriate for
Tableau Public * Understand chart types and when to use specific
chart types with different types of data Who This Book Is For Data
scientists who have just started using Tableau and want to build on
the skills using practical examples. Familiarity with previous
versions of Tableau will be helpful, but not necessary. What You
Will Learn * Customize your designs to meet the needs of your
business using Tableau * Use Tableau to prototype, develop, and
deploy the final dashboard * Create filled maps and use any shape
file * Discover features of Tableau Public, from basic to advanced
* Build geographic maps to bring context to data * Create filters
and actions to allow greater interactivity to Tableau Public
visualizations and dashboards * Publish and embed Tableau
visualizations and dashboards in articles In Detail With increasing
interest for data visualization in the media, businesses are
looking to create effective dashboards that engage as well as
communicate the truth of data. Tableau makes data accessible to
everyone, and is a great way of sharing enterprise dashboards
across the business. Tableau is a revolutionary toolkit that lets
you simply and effectively create high-quality data visualizations.
This course starts with making you familiar with its features and
enable you to develop and enhance your dashboard skills, starting
with an overview of what dashboard is, followed by how you can
collect data using various mathematical formulas. Next, you'll
learn to filter and group data, as well as how to use various
functions to present the data in an appealing and accurate way. In
the first module, you will learn how to use the key advanced string
functions to play with data and images. You will be walked through
the various features of Tableau including dual axes, scatterplot
matrices, heat maps, and sizing.In the second module, you'll start
with getting your data into Tableau, move onto generating
progressively complex graphics, and end with the finishing touches
and packaging your work for distribution. This module is filled
with practical examples to help you create filled maps, use custom
markers, add slider selectors, and create dashboards. You will
learn how to manipulate data in various ways by applying various
filters, logic, and calculating various aggregate measures.
Finally, in the third module, you learn about Tableau Public using
which allows readers to explore data associations in
multiple-sourced public data, and uses state-of-the-art dashboard
and chart graphics to immerse the users in an interactive
experience. In this module, the readers can quickly gain confidence
in understanding and expanding their visualization, creation
knowledge, and quickly create interesting, interactive data
visualizations to bring a richness and vibrancy to complex
articles. The course provides a great overview for beginner to
intermediate Tableau users, and covers the creation of data
visualizations of varying complexities. Style and approach The
approach will be a combined perspective, wherein we start by
performing some basic recipes and move on to some advanced ones.
Finally, we perform some advanced analytics and create appealing
and insightful data stories using Tableau Public in a step-by-step
manner.
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