Visualizations overview

Workspace offers a number of visualizations that let you generate visual representations of your data, such as bar charts, donut charts, histograms, line charts, maps, scatterplots, and others. Most visualization types will be familiar to you if you use Adobe Analytics. However, Analysis Workspace provides visualization settings and many new or unique visualizations types with interactive capabilities.

Visualization types

The following visualization types are available in Analysis Workspace:

Visualization name
Description

Area

Area icon

Like a line graph, but with a colored area below the line. Use an area graph when you have multiple metrics and want to visualize the area expressed by the intersection of two or more metrics.

Bar

Bar icon

Shows vertical bars representing various values across one or more metrics.

Bullet graph

Bullet icon

Shows how a value you are interested in compares to or measures against other performance ranges (goals).

Cohort table

Cohort table icon

A cohort is a group of people sharing common characteristics over a specified period. Cohort Analysis is useful for retention, churn or latency analysis.

Donut

Donut icon

Similar to a pie chart, this visualization shows data as parts or segments of a whole.

Fallout

Fallout icon

Fallout reports show where visitors left (fell out) and continued through (fell through) a predefined sequence of pages. Can be set to eventual or exact sequences

Flow

Flow icon

Shows exact customer paths through your websites and apps.

Freeform table

Freeform table icon

A Freeform table is not merely a data table, but also an interactive visualization. It is the foundation for data analysis in Workspace.

Histogram

Histogram icon

A histogram buckets visitors, visits or hits into buckets based on a metric volume.

Horizontal bar

Horizontal bar icon

Shows horizontal bars representing various values across one or more metrics.

Key metric summary

Key metric icon

Shows how a metric is trending within a single timeframe, or lets you compare metric performance across two timeframes.

Line

Line icon

Represents metrics using a line in order to show how values change over a period of time. A line chart uses time along the x-axis.

Map

Map icon

Lets you build a visual map of any metric (including calculated metrics).

Scatterplot

Scatterplot icon

Shows the relationship between dimension items and up to three metrics.

Summary number

Summary number icon

Shows the selected cell as 1 large number.

Summary change

Summary change icon

Shows the change between the selected cells as 1 large number/percent.

Text

Text icon

Lets you add user-defined text to your Workspace. Helpful for adding additional context to your analysis and insights, in addition to leveraging panel/visualization descriptions

Treemap

Treemap icon

Displays hierarchical (tree-structured) data as a set of nested rectangles.

Venn

Venn icon

Uses circles to depict the metric overlap of up to 3 segments.

Add visualizations to a panel

  1. Open the Analysis Workspace project where you want to add a visualization.

  2. Use any of the following methods to add the visualization:

    • In the left rail, select the Visualizations icon , then drag a visualization to the panel where you want to add it.

    • On the panel where you want to add the visualization, select the Plus icon, then choose the icon that represents the visualization that you want to add. Hover over the icon for each visualization to see its name.

      Button for adding a visualization

    • Add a blank panel, then choose the visualization that you want to add.

      Blank panel

    • Right-click an existing panel in your Analysis Workspace project, then select Duplicate visualization or Copy visualization.

Customize visualization settings

You can customize visualization settings for an individual visualization, or for all visualizations that you create.

Customize visualization settings for a single visualization

To access Visualization Settings for an individual visualization:

  1. In Analysis Workspace, hover over the visualization whose settings you want to customize.

  2. Click the gear icon.

    Each type of visualization has unique settings that you can customize. For information about available settings, see Settings.

Customize visualization settings for all visualizations you create

You can customize settings for all visualizations that you create. For more information, see User preferences.

Settings settings

Setting
Description
Visualization Type
Change the type of visual used to depict the data.
Granularity
For trended visualizations, you can change the time granularity (day, week, month, etc.) from this drop-down list. This change also applies to the data source table.
Percentages
Displays values in percentages.
100% Stacked
This setting on area stacked, bar stacked or horizontal bar stacked visualizations turns the chart into a “100% stacked” visualization. Example: Stacked 100%
Legend Visible
Lets you hide the detailed legend text for the Summary Number/Summary Change visualization.
Limit Max Items
Lets you limit the number of items that a visualization displays.
Anchor Y Axis at Zero
If all the values plotted on the chart are considerably above zero, the chart default will make the bottom of the y-axis NON-ZERO. If you check this box, the y-axis will be forced to zero (and it will re-draw the chart).
Normalization
Forces metrics to equal proportions. This is helpful when plotted metrics are of very different magnitudes.
Display Dual Axis
Only applies if you have two metrics - you can have a y-axis on the left (for one metric) and on the right (for the other metric). This is helpful when plotted metrics are of very different magnitudes.
Show Anomalies
Enhances line graphs and freeform tables by displaying anomaly detection. Anomaly detection in line visualizations includes an expected value (dashed line) and an expected range (shaded band).

Legend legend

A visualization legend helps you to relate date in a source table to plotted series in the visualization. The legend is interactive - you can click a legend item to show/hide a series in the visualization. This is helpful if you want to simplify the data being visualized.

Additionally, you can rename legend labels to help you make visuals more consumable. Note: legend editing does not apply to: Treemap, Bullet, Summary Change/Number, Text, Freeform, Histogram, Cohort or Flow visualizations.

To edit a legend label:

  1. Right-click one of the legend labels.

  2. Click Edit Label.

  3. Enter the new label text.

  4. Press Enter to save.

Right-click menu right-click

Additional functionality for a visualziation is available by right-clicking on the visualization header. Settings will vary by visualization. Some of the settings available are:

Setting
Description
Insert Copied Panel/Visualization
Lets you paste (“insert”) a copied panel or visualization to another place within the project, or into a completely different project.
Copy Visualization
Lets you right-click and copy a visualization, so that you can insert it to another place within the project, or into a completely different project.
Download items as CSV
Download up to 50,000 dimension items for the selected dimension as a CSV.
Download data as CSV
Download visualization data source as a CSV.
Duplicate Visualization
Makes an exact duplicate of the current visualization, which you can then modify.
Edit Description
Add (or edit) a text description for the visualization.
Get Visualization Link
Lets you direct someone to a specific visualization within a project. When the link is clicked, the recipient will be required to login before being directed to the exact visualization linked to.
Start Over
(Works for Flow, Venn, Histogram) Deletes the configuration for the current visualization so you can re-configure it from scratch.

Create Visual icon quick-viz

If you are not sure which visualization to pick, click the Create Visual icon in any table row (available on hover). This the the fastest way to add a visualization. Clicking it prompts Analysis Workspace to take an educated guess at which visualization would best fit your data. For example, if you have 1 row selected, it will create a trended line graph. If you have 3 segment rows selected, it will create a Venn diagram.

Change the scale axis on visualizations

Here is a video overview:

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