Visualization types and overview visualization-types-in-analysis-workspace

Learn about the different kinds, or types, of visualizations that you can put into your Analysis Workspace projects, to help you tell your data stories.

Hi, I’m Ben Gains with Adobe Analytics Product Management and, today, I want to - show you a new feature coming out in the Analysis Workspace, with the June release of Adobe Analytics.
Previously, with Analysis Workspace, as you may have seen, you had the ability to add a - simple bar graph or line graph to a table, to visualize it. With the June release, we’ve added a few new visualization types that are worth being aware of. So you had bar graph previously. We’ve added horizontal bar, which is what it sounds like, and will graph the table on - which you place it horizontally, rather than vertically. We’ve also added the donut graph. And here you can see you can graph multiple - metrics at the same time. You can turn off line items, - that you don’t want to graph, Pretty simple and straightforward. We will be continuing to add new visualizations types as we go, going beyond just these sort - of simple visualization types. One important thing to note - about these visualizations, we have added some settings, so you can actually - change for visualization. If you click on the gear icon, you can change the visualization type directly from within the - visualization settings. You also have some pretty - granular control over the visualizations themselves. So you can change the number - of items that are graphed. You can normalize the data, so I just did that. I had revenue and page use, which are on very different scales, and so I can normalize those. I can hide the data source, so if I just want to display the graph, I can do that here, and I can always, of course, - show it again as well. I can even, actually, change the table on which the graph is based, so if I have multiple - tables in my project, I can take a visualization and change the table that is being used to generate that visualization.
The other thing, so this is sort of, this is for rank reporting primarily, but let’s say I have some trended data, normally, or I previously, would have dragged over a line graph, pretty simple.
We now have the area graph, which is just the sort of - the filled-in line graph, and as I’d mentioned in another video, you can actually click here to change the scale. So if you want to start from zero, you can do that and that sort of flattens - things out a little bit if you want to stay between - the highest and lowest points, as the upper and lower bound, you can do that as well - just by clicking here, at sort of the bottom of that scale. So, these are the new visualization types that you’ll see in June. Many more coming in the near future, inside of Analysis Workspace. -

As a recap of the video, here are some categories of visualizations and suggested visualizations to add to your project, based on what kind of analysis you want to do on your data. As stated in the video, none of this is a hard & fast rule, but rather just some suggestions for you as you get used to the different visualizations:

Visualization category
Suggested visualizations
Basic Data/info
  • Freeform table

  • Text

  • Freeform table
  • Key metric summary
  • Summary number
  • Summary change
  • Bar

  • Horizontal bar

  • Bar stacked

  • Horizontal bar stacked

  • Freeform table

  • Freeform table with conditional formatting

  • Combo chart

  • Bullet (compare actual numbers with goals)

  • Tree map (multi-dimensional)

  • Line

  • Area

  • Area stacked

  • Vertical bar

  • Donut

  • Area stacked

  • Treemap

  • Scatterplot

  • Venn

  • Histogram
Cohort analysis
  • Cohort tables (retention/churn)

  • Freeform tables with segments applied

Analyzing customer journeys
  • Fallout

  • Flow

  • Cohort

  • Map

For more information, visit the documentation.