Data Modeling Design

Communicating Data with Tableau: Designing, Developing, and by Ben Jones

By Ben Jones

Transcend spreadsheets and tables and layout an information presentation that truly makes an impression. This sensible advisor indicates you ways to take advantage of Tableau software program to transform uncooked info into compelling facts visualizations that supply perception or permit audience to discover the information for themselves. excellent for analysts, engineers, dealers, reporters, and researchers, this publication describes the rules of speaking info and takes you on an in-depth travel of universal visualization tools. you will how one can craft articulate and artistic info visualizations with Tableau computer 8.1 and Tableau Public 8.1.

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Example text

I began creating data visual‐ izations and embedding them in a WordPress site, and connecting with an online community of enthusiasts and experts. Tableau Products Chances are you bought this book because you already have one or more Tableau products and you’d like to learn how to use them better. For those who aren’t already familiar with the different data visuali‐ zation software products Tableau offers, there are four main types: Tableau Desktop A Windows application that comes in two editions (Personal and Professional), and is most useful for analysts and business users.

Figure 3-13. Using Number of Records to show counts Notice how the Number of Records pill is a summation. To under‐ stand how Number of Records behaves, imagine a field in the data set of 1s. Summing this field for Brooklyn, for example, shows that there are 11,887 times that “Brooklyn” appears in the Borough field. This can be a very helpful way to find anomalies or errors in the data set. For example, if you replace Borough in the Rows shelf with City, you will see the table shown in Figure 3-14.

This can be a very helpful way to find anomalies or errors in the data set. For example, if you replace Borough in the Rows shelf with City, you will see the table shown in Figure 3-14. Notice anything wrong with the highlighted city name? info Figure 3-14. Using Number of Records to check for errors Evidently, there was one record in which the city name was incorrectly recorded as BROOLKYN. These types of errors are ubiquitous, especially in human-recorded data sets. Checking for them is an important part of the “exploring data” step outlined in Figure 1-1.

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