Evolytics Blog

Tableau Fundamentals: Discrete vs. Continuous

The fourth thing I wish I knew the first day I used Tableau is the difference between discrete and continuous fields. This classification has an impact on what types of visualizations you can create as well as how they will look, so having a good grasp on what this distinction means is core to your understanding of how Tableau looks at your data.

It is easy to know if a field is being used as discrete or continuous based on its color. Blue indicates that a field is discrete, while green indicates that a field is continuous. If your mind is blown because you always assumed that these colors represented whether a field was a dimension or measure, you are not alone. The thought that blue represents dimensions and green represents measures is the most common myth in Tableau. It’s easy to understand why because, by default, dimensions are categorized as discrete variables, and thus have a small blue icon in front of them in the dimensions shelf. Measures are categorized as continuous variables, so they are prefaced with a green icon in the measures shelf.

I assure you that the color-coding identifies discrete vs. continuous fields and not dimensions vs. measures. Measures can actually be used as discrete fields or continuous fields, and the same is true for some dimensions, such as dates.

So what does this mean for your visualizations? I will illustrate using two rules of thumb I have when considering if a field should be used as discrete or continuous.

Discrete fields draw headers; continuous fields draw axes

Take a look at the following visualizations that look at sales by month.

In the first chart, I am using date as a discrete field:

Sales by Month Discrete

Notice that there is a discrete header for each month.

In the second chart, I am using the same exact data, but I have changed the Date dimension from discrete to continuous:

Sales by Month Continuous

As you can see, I now have a continuous axis of time. Since the axis is continuous, I cannot change the order of the dates; they follow a chronological order from oldest date on the left to most recent date on the right. On the other hand, when the Date dimension is being used as discrete as pictured in the first image, I am able change the order of the dates. For example, I could sort the bars in descending order, with the month with the highest sales first, and the month with the lowest sales last. Which brings me to my second rule when determining whether I should use a field as discrete or continuous:

Discrete fields can be sorted; continuous fields cannot

So how you might use this in the real world. If you know that you want to look at a trend over a continuous period of time, you would want to use a continuous date, which will be colored green on the view. If your analysis requires you to have discrete marks that can be sorted, you would use the field as discrete, which will be colored blue on the view.

This date example is just one of many possibilities, but remembering the two rules outlined in this post will help you understand how the use of discrete and continuous fields are impacting the data visualizations you create in Tableau.

Ryan Sleeper

Ryan Sleeper is a data visualization evangelist specializing in Tableau. To learn more about how Evolytics' award-winning data visualization practice can help you with your Tableau dashboards or training needs, contact us.

Ryan SleeperTableau Fundamentals: Discrete vs. Continuous

Related Posts