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Creating Data Stories with Tableau Public

Creating Data Stories with Tableau Public

By : Ohmann
4 (4)
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Creating Data Stories with Tableau Public

Creating Data Stories with Tableau Public

4 (4)
By: Ohmann

Overview of this book

Tableau Public is a very useful tool in anyone's data reporting toolbox that allows authors to add an interactive data element to any article. It allows investigative journalists and bloggers to tell a “data story”, allowing others to explore your data visualization. The relative ease of Tableau Public visualization creation allows data stories to be developed rapidly. It 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. This book offers investigative journalists, bloggers, and other data story tellers a rich discussion of visualization creation topics, features, and functions. This book allows data story tellers to quickly gain confidence in understanding and expanding their visualization-creation knowledge, and allows them to quickly create interesting, interactive data visualizations to bring a richness and vibrancy to complex articles. The book takes you from basic concepts in visualization creation, like connecting to data sources, cleansing data, chart types, common functions, map creation, and publishing to the Web, to more advanced functions. It is a great overview and reference guide for beginner to intermediate Tableau Public data story tellers, and covers creation of Tableau Public visualizations of varying complexities.
Table of Contents (11 chapters)
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10
Index

An overview of the development lifecycle

Perform the following steps to develop a high-quality, compelling visualization:

  • The first step is to devise a purpose for the visualization—a question that you would like the data to answer—and envision the possible visualization types that can best answer that question.
  • Next, define the content and find your relevant data; determine how much data should be shown and the level of details required. A large part of your visualization project should be spent on finding and cleansing data. Do not skimp on this step, because it will make your visualization more clear and useful to readers. You may have to scrape data from the Internet or combine it from multiple sources.
  • Wherever you get your data, make sure that you have both validated and attributed it properly.

    Tip

    We surveyed a few experts in Tableau Public, and anecdotally, they estimate that they spend 70% to 80% of their total development time building data sources.

  • The third step (with...
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