Welcome to the analytics section of my blog, where I share my insights and expertise on the power of visual analytics. As someone who has worked with data for years, I believe that visual analytics is one of the most important tools we have for unlocking the insights hidden within our data.
In this section, you’ll find a variety of posts on topics such as data visualization, dashboard design, and best practices for using visual analytics to drive business success. I’ll share my perspectives on the latest trends and innovations in this field, as well as practical tips and tricks for getting the most out of your data.
Whether you’re a data professional, business leader, or just someone interested in the power of analytics, you’ll find plenty of valuable insights and knowledge in these posts. My goal is to make complex topics accessible and easy to understand so that everyone can benefit from the incredible insights that visual analytics can provide.
So, join me on this journey as we explore the world of visual analytics together, and discover new ways to harness the power of data to drive business success and unlock new insights into our world.
As you know from my previous Tableau Conference sessions and blog posts (TC18, TC17, TC16), I love social media! So thank you for your likes, shares, retweets…
Today marks a significant milestone in my journey with data visualization – the release of my comprehensive Tableau book, Visual Analytics with Tableau (Amazon). This book is more than just a guide; it’s a comprehensive resource for unlocking the power of visual analytics. Also, check out the Visual Analytics with Tableau companion website for further news.
From the Back Cover
A 4-COLOR JOURNEY THROUGH A COMPLETE TABLEAU VISUALIZATION FOR NON-TECHNICAL BUSINESS USERS
Tableau is a popular data visualization and analytics tool favored by financial analysts, marketers, statisticians, business and sales professionals, data scientists, developers, and many others who need to explore insights and present visual, easy-to-understand data. Visual Analytics with Tableau is an accessible, step-by-step introduction to the world of visual analytics. This up-to-date guide is ideal for both beginners and more experienced users seeking a practical introduction to the fields of data analysis and visualization. Through hands-on examples and exercises, readers learn how to analyze their own data and clearly communicate the results.
This guide covers everything you need to get started with Tableau, from the first steps of connecting to data, creating different types of charts, and adding calculation fields to more advanced features such as table calculations, forecasts, clusters, and R, Python, and MATLAB integration for sophisticated statistical modelling. User-friendly instructions for existing options within the Tableau ecosystem–Tableau Desktop, Tableau Prep, Tableau Server, Tableau Online, and Tableau Public–enable you to integrate, clean, and prepare your data and share your work with others.
Why Choose Visual Analytics with Tableau?
Latest Versions Covered: Stay up-to-date with the newest features of Tableau, plus Tableau Prep, Tableau’s cutting-edge data integration application.
No Prior Experience Required: Whether you’re a beginner or an expert, this book caters to all. No background in mathematics or programming is needed.
Exploring Data Visually: This book Focuses on the visual analytics functionality of Tableau rather than complex statistical programming.
Expert Guidance: Gain insights from Alexander Loth, Tableau’s thought leader, and world-renowned visualization expert. Alexander’s hands-on approach ensures a smooth learning curve.
Advanced Functionality: Dive deep into advanced Tableau functionalities and explore various data structures to elevate your analytical capabilities.
Top-notch Presentation: This book provides easy-to-follow instructions, full-color illustrations, learning tools, online resources, and more.
Endorsements
If you’re getting started with visual analytics and Tableau, this book will teach you everything you need to know to build the foundations and understand how and why to explore your data visually. Alexander has created a fantastic resource that guides you step by step through the process of preparing your data, using Tableau Desktop to analyse it and finding insights.
Eva Murray, Head of BI and Tableau Zen Master at Exasol
If you’re keen to go from beginner to expert in Tableau, Alexander’s excellent book gives you everything you need to know. With a crisp and clear style, he talks the reader through all aspects of Tableau, from data cleaning through data analysis and into sharing insight with others.
Andy Cotgreave, Author of Big Book of Dashboards and Technical Evangelist at Tableau Software
Visual Analytics with Tableau – an easy to understand book by Alexander Loth, one of Tableau’s very first employees based in Germany, a recognized speaker on countless conferences, and a Tableau Jedi. It contains both the basics and advanced Tableau features. If you ask me: there is nothing more you need to get started with Tableau!
Klaus Schulte, Professor at Münster School of Business & 2019 Tableau Zen Master
Get Your Copy of Visual Analytics with Tableau and Stay Connected!
Thank you to everyone who contributed to the success of this book! Grab your copy of Visual Analytics with Tableau on Amazon and embark on an enlightening journey through visual analytics. If you’re new to Tableau, don’t miss my blog post on joining a Tableau User Group, where you can learn, connect, and grow your skills.
Stay in touch for more insights on data visualization, analytics, and digital transformation. Follow me on Twitter and LinkedIn, and let’s continue learning together:
Screenshot of Tableau 4.0 analyzing High Energy Physics Data at CERN
About a year ago, I had a first try with Tableau and some survey data for a university project. Last week, I finally found time to test Tableau with High Energy Physics (HEP) data from CERN’s Proton Synchrotron (PS). Tableau enjoys a stellar reputation among the data visualization community, while the HEP community heavily uses Gnuplot and Python.
Tableau 4.0: Connect to Data
I was using an ordinary CSV file as data source for this quick visualization. Furthermore, Tableau can connect to other file types such as Excel, as well as to databases like Microsoft SQL Server, Oracle, and Postgres.
I’m also quite impressed by the ease and speed with which insightful analysis seems to appear out of bland data. Even though your analysis toolchain is script-based (as usual at CERN where batch processing is mandatory), I highly recommend using Tableau for prototyping and for ad-hoc data exploration.
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