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

By Ben Jones

Transcend spreadsheets and tables and layout an information presentation that truly makes an effect. This sensible advisor indicates you the way to take advantage of Tableau software program to transform uncooked facts into compelling facts visualizations that supply perception or enable audience to discover the information for themselves. excellent for analysts, engineers, dealers, reporters, and researchers, this e-book describes the rules of speaking facts and takes you on an in-depth travel of universal visualization tools. you will the best way to craft articulate and artistic information visualizations with Tableau computing device 8.1 and Tableau Public 8.1.

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Extra info for Communicating Data with Tableau: Designing, Developing, and Delivering Data Visualizations

Sample text

Figure 3-2. Connected to the DSNY Collection Tonnages data set Notice that Tableau has decided that Borough and Month are discrete (blue) string Dimensions, and that CommunityDistrict and the three forms of garbage (MGP stands for “Metal, Glass, and Plastic”) collec‐ ted are continuous (green) numerical Measures. To begin, click Borough, hold down the Control key, click RefuseTon sCollected, and then click Show Me in the upper-right corner of the screen. Notice that a number of options are highlighted, and that there is a blue box around the horizontal bars option.

It’s important to understand the level of aggregation of your underlying data set. You already know from Chapter 1 that these measurements form quantitative data types, as opposed to ordinal or nominal. info know from Chapter 2 that Tableau sees them as continuous Measures (green pills), like the Area sq-mi field for each of New York’s boroughs. An Example of How Much Staying with the New York theme in our example data, let’s consider garbage. How much garbage does the City of New York Department of Sanitation (DSNY) collect from each borough?

In the next chapter, we’ll cover in more detail how to discover rela‐ tionships within our data. ” —John Tukey Communicating data is sharing comparisons, and comparisons are examinations of relative amounts. We make comparisons all day long, without consciously deciding to do so. We love to explore how things are similar or how they are different. Whether we discover something unexpected or confirm a long-held belief, we walk away with a satis‐ fying feeling of knowing. But we can be highly skeptical of comparisons that others communi‐ cate to us.

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