Communicating Data with Tableau by Ben Jones

By Ben Jones

Transcend spreadsheets and tables and layout an information presentation that actually makes an influence. This useful consultant indicates you ways to take advantage of Tableau software program to transform uncooked info into compelling facts visualizations that offer perception or let audience to discover the knowledge for themselves.

Ideal for analysts, engineers, sellers, reporters, and researchers, this booklet describes the foundations of speaking information and takes you on an in-depth travel of universal visualization tools. You'll the way to craft articulate and inventive information visualizations with Tableau machine 8.1 and Tableau Public 8.1.

•Present comparisons of the way a lot and the way many
•Use mixed info resources to create ratios and rates
•Create charts to depict proportions and percentages
•Visualize measures of suggest, median, and mode
•Lean the right way to care for version and uncertainty
•Communicate a number of amounts within the related view
•Show how amounts and occasions swap over time
•Use maps to speak positional data
•Build dashboards to mix a number of visualizations

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Additional info for Communicating Data with Tableau

Example text

The onus is on the communicator to convey the message accurately and effec‐ tively, in order to earn the trust and attention of the target audience. It starts with understanding the nature of the comparison to be made. Comparisons can include multiple layers, but at their core they always reduce to either how much or how many. ” Often, these two types of comparisons are visualized using the same chart types, but the way they are created in Tableau can differ depend‐ ing on how your data is arranged (more on that soon).

When it’s time to communicate key insights, there are a variety of options depending on the product being used, from sending files to embedding interactive visualizations online to sharing via social media. Tableau facilitates the data discovery process (finding insights in data) as well as the data communication process (creating explanatory 15 graphics, exploratory dashboards, and data storytelling) with no pro‐ gramming required. My Tableau Story The first time I encountered Tableau, I was researching data visuali‐ zation tools and methods because I recognized a huge gap between what I could do with the tools at my disposal and what I wanted to do.

Tableau draws axes when con‐ tinuous data types are used in visualizations (resulting in lines and Connecting to Data | 25 scatterplots), and it creates headers when discrete data types are used (resulting in bars, columns, and tables). For example, consider the two visualizations in Figure 2-10, which show Area on the Columns shelf (the horizontal or x-axis) and Pop‐ ulation on the Rows shelf (the vertical or y-axis). Figure 2-10. Area as a continuous data type (left); area as a discrete data type (right) On the left, Area is plotted as a continuous axis (the Area “pill” on the left is green), while on the right, each value for Area is given its own discrete column (the Area “pill” on the right is blue).

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