[Launched] View Underlying Data

Product Releases
1

:raised_hands: INTRODUCTION

View Underlying Data helps you quickly see “what makes up this number” at the most detailed level.

Holistics’ View Underlying Data requires zero setup and lets you flexibly tailor the underlying data table to your needs.

Supported visualizations:

  • Line, column, bar, area and combination charts
  • Pie, donut, pyramid and funnel charts
  • KPI
  • Table
  • Pivot table
  • Gauge chart
1 Like
2

Hi, thanks for this feature very simple and useful to use.

I noticed that it triggers an error when the dataset contains ambiguous paths as shown below (even though the chart itself works great in the dashboard) :

image
image1832×929 71.5 KB

3

Hi @dacou

Thank you for your feedback.

Can you please send us a support ticket with your View Underlying Data link? That’ll be easier for us to investigate the issue.

We look forward to receiving your email!

Best regards,
Phuong.

1 Like
4

[New update] Customize the Underlying Views :star_struck:

When viewing underlying data, the default table shown may not always be relevant to users’ needs. Holistics enables you to ​​customize different views of the underlying data​​.

For example, when examining the underlying data for the Revenue metric, users can select from different views, such as orders, users, or products.

You can set up the underlying views at dataset level or visualization level. Each view is attached to a metric. A metric can contain multiple views.

Please learn more about how to set it up here: View underlying data | Customize the underlying views

5

[New update] Disable the View Underlying Data Feature at Your Discretion

In Development, you can disable the feature for an entire dataset or a specific visualization as follow:

Dataset ecommerce {

  models: [...]
  
  relationships: [...]

  metric {...}

  settings {
    analysis_interactions {
      view_underlying_data {
        enabled: false
      }
    }
  }
}

Note that the most restrictive configuration applies. In other words, for “View underlying data” to be available in a visualization, it must be enabled at both the dataset and visualization levels.