Tableau Chart Types

I just returned from a week-long visit to London for Tableau Conference Europe and, as usual following a TC, have come away re-energized by the Tableau community and the company’s dedication to making the best data visualization software possible. I attended several valuable sessions including Andy Cotgreave’s, New Ways to Visualize Time. I was looking forward to hearing his perspective on why line graphs can hide insights, and he did not disappoint. One of the alternatives discussed was slope graphs, and Andy shared a formula to dynamically keep only the earliest and latest dates on the chart. The talk inspired me to add a twist made possible by Tableau’s flexibility. This post will show you how to make slope graphs in Tableau, how to allow the slope graphs to update when a new date range is selected, and how to add a toggle that allows your end users to choose between a line graph or a dynamic slope graph.

When it comes to my favorite chart types, scatter plots are a close third behind bar charts and line graphs. In several industries, and especially scientific journals, scatter plots are the favorite choice because of their ability to reveal and communicate correlations. Another benefit of this chart type is it is one of the few visualizations that allow you to view many marks in a small space. No, you cannot analyze every individual mark because they will likely overlap, but scatter plots make it easy to identify outliers and the aforementioned correlations. But wait – there’s more! Due to the way scatter plots are set up with a measure on each axis, adding reference lines for the average of each axis creates a natural four-quadrant segmentation. This is a great technique for isolating different groups so you can act on them individually. This post will show you how to make scatter plots and take them to the next level in three ways. We’ll cover (1) a formatting trick to make your scatter plots stand out, (2) ideas for maximizing the data-ink ratio in the context of scatter plots, and (3) a calculated field that will automatically break your dimension members into four usable segments.

Maps are one of the most effective chart types in Tableau and are also among the easiest chart types to create. They are effective because they help us decode latitude and longitude combinations almost instantly, allowing us to see patterns between geographic locations that may otherwise be challenging to discover. They are easy to create because Tableau comes prepackaged with thousands of geographic coordinates all over the world. This makes it so that simply double-clicking on a dimension that Tableau recognizes as geographic will create a map on the view. What’s more, Tableau maps are technically scatter plots with points at the combination of each latitude-longitude pair and an image of a map in the background. This unlocks even more applications including the ability to map anything – even if it’s not related to geography. This post will use a map of my top 10 favorite barbecue restaurants to share three ways to take your Tableau maps to the next level. Tips include a formatting trick, instructions for how to unlock additional map styles, and how to create a dual-axis map using a combination of generated and custom coordinates.