Tableau 10 public download3/19/2024 ![]() ![]() You can follow Joshua on Twitter at would like to express profound gratitude to the numerous individuals who have helped me in my journey over the years. He also shares frequent Tableau tips, tricks, and advice along with a variety of dashboards on his fun and creative blog site,. ![]() He was a technical reviewer of the Tableau Data Visualization Cookbook, Creating Data Stories with Tableau Public, and his work has been featured multiple times on Tableau Public’s Viz of the Day and Tableau’s website. Joshua is the author of the first edition of Learning Tableau, which quickly became one of the highest acclaimed Tableau books for users at all levels. He frequently broadcasts webinars to educate and inform the Tableau community and the world at large about the wonders of Tableau, and is a much sought after featured speaker at Tableau conferences, user groups and various technology and industry functions. As a Tableau Ambassador, trainer, mentor, and leader in the online Tableau community, Joshua is passionate about helping others gain insights from their data. This places Joshua in a group of individuals recognized by Tableau as not only masters of the tool but also who have a deep desire to teach and help others. Joshua has been named by Tableau as a Tableau Zen Master every year since 2014. He has worked with clients in numerous industries including financial, energy, healthcare, marketing, government, and services. His years of consulting have given Joshua hands on experience with all aspects of the BI development cycle from data modeling, ETL, enterprise deployment, data visualization, and dashboard design. NET solutions, he brings a blend of analytical and creative thinking to BI solutions, data visualization, and data storytelling. With a strong background in software development and custom. Milligan has been with Teknion Data Solutions since 2004 and currently serves as a Principal Consultant. However, Packt Publishing cannot guarantee the accuracy of this information. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book. However, the information contained in this book is sold without warranty, either express or implied. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.Įvery effort has been made in the preparation of this book to ensure the accuracy of the information presented. Summary Learning Tableau 10 Second EditionĪll rights reserved. Publishing to Tableau Server and Tableau OnlineĪdditional distribution options using Tableau Server Sharing with users of Tableau Server, Tableau Online, and Tableau Public Sharing with users of Tableau Desktop and Tableau Reader Supplementing the standard in geographic data Advanced Visualizations, Techniques, Tips, and Tricksĭynamically showing and hiding other controls Overview of advanced fixes for data problemsġ0. Restructuring data in Tableau connections Techniques for dealing with data structure issues Good structure - tall and narrow instead of short and wide Deeper Analysis – Trends, Clustering, Distributions, and Forecasting Understanding how formatting works in TableauĮxample - is least profitable always unprofitable?ĭesigning for different displays and devicesĨ. Formatting a Visualization to Look Great and Work Well Practical examples of calculations and parametersĮnhancing user experience, analysis, and visualizationsĪn example of leveraging data densificationĦ. Row Level or Aggregate – why does it matter? Overview of the three main types of calculations ![]() Using Row-Level, Aggregate, and Level of Detail Calculations Visualizing multiple axes to compare different measuresĤ. Variations of date and time visualizations Moving from Foundational to More Advanced VisualizationsĬomparing values across different dimensionsīullet chart – showing progress toward a goal Working with extracts instead of live connectionsģ. Iterations of line charts for deeper analysisīringing everything together in a dashboard ![]() Iterations of bar charts for deeper analysis Creating Your First Visualizations and Dashboard Downloading the color images of this bookġ. ![]()
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