Book Image

Creating Data Stories with Tableau Public

By : Ohmann
Book Image

Creating Data Stories with Tableau Public

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)
10
Index

The aggregate functions


Aggregation functions in Tableau Public are performed typically on numeric fields. In this section, we will show you how to use the default aggregations on visualizations as well as how to use them in calculated fields.

The following are the aggregate functions that are available for you to apply on a field are also available in the calculated field dialog box. Tableau Public has arranged them in order from the greatest to the least commonly used functions for the visualization as follows:

  • SUM: This adds up the values within a partition

  • Average: This sums the measure and divides it by the number of dimension members in the partition

  • Median: This provides the measure value that's halfway between the greatest and least values

  • COUNT and COUNTD: These count the number of dimension members and the number of distinct dimension members respectively; they are typically performed on dimensions rather than measures

  • Minimum and Maximum: These take the least and greatest values...