Book Image

Tableau 10 Complete Reference

By : Joshua N. Milligan, Tristan Guillevin
Book Image

Tableau 10 Complete Reference

By: Joshua N. Milligan, Tristan Guillevin

Overview of this book

Graphical presentation of data enables us to easily understand complex data sets. Tableau 10 Complete Reference provides easy-to-follow recipes with several use cases and real-world business scenarios to get you up and running with Tableau 10. This Learning Path begins with the history of data visualization and its importance in today's businesses. You'll also be introduced to Tableau - how to connect, clean, and analyze data in this visual analytics software. Then, you'll learn how to apply what you've learned by creating some simple calculations in Tableau and using Table Calculations to help drive greater analysis from your data. Next, you'll explore different advanced chart types in Tableau. These chart types require you to have some understanding of the Tableau interface and understand basic calculations. You’ll study in detail all dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered. Last but not least, you'll learn about the power of storytelling through the creation of interactive dashboards in Tableau. Through this Learning Path, you will gain confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau. This Learning Path includes content from the following Packt products: • Learning Tableau 10 - Second Edition by Joshua N. Milligan • Getting Started with Tableau 2018.x by Tristan Guillevin
Table of Contents (20 chapters)
Title Page
About Packt
Contributors
Preface
8
Deeper Analysis - Trends, Clustering, Distributions, and Forecasting
Index

Relating parts of the data to the whole


As you explore and analyze data, you'll often want to understand how various parts add up to a whole. For example, you'll ask questions such as:

  • How many patients with different admission statuses (in-patient, out-patient, observation, ER) make up the entire population of patients in the hospital?
  • What percentage of total national sales is made in each state?
  • How much space does each file, sub-directory, and directory take up on my hard disk?

These types of questions are asked about the relationship between the part (patient type, state, and file/directory) and the whole (entire patient population, national sales, and hard disk). There are several types of visualizations and variations that can aid you in your analysis.

Stacked bars

We took a look at stacked bars in Chapter 1, Creating Your First Visualizations and Dashboard where we noted one significant drawback: it is difficult to compare values across categories for any bar other than the bottom-most...