View Underlying Data (Beta)

BETA FEATURE

This document outlines a Beta feature currently in progress. Until the Beta label is removed from both this notice and the feature in the Holistics' platform, it should not be regarded as part of our official documentation. Please note that this feature is subject to rapid, iterative changes, and the most current version may vary from what is described here.

Introduction

View Underlying Data helps you quickly see “what makes up this number” at the most detailed level. By examining the details behind every data point, you can make more informed, data-driven decisions.

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
• Metric sheet (coming soon)
• Gauge chart (coming soon)

Customizing Detail Views (coming soon)

To ensure the best experience for end users, dashboard builders can configure the underlying data table for each metric.

Each metric can have multiple detail views to facilitate different analytical perspective.

For example, metric Revenue can have multiple detail views of Order Details, User Details and Product Details. Users can choose Order Details to see how much each order contributes to Revenue, or users can choose User Details to see how much each user contributes to Revenue, etc.

Detail view is a property of metric. It comprises of an array of dimensions predefined by dashboard builders in the modeling layer via AML.

Below is an example of how it may look like. This feature is still under development.

metric revenue {
    detail_views: [order_details, user_details, product_details, [field1, field2, field3]]
}

view order_details {
    label: 'Order Details'
    fields: order_id, quantity, status
}

view user_details {
    label: 'User Details'
    fields: user_id, name, email
}

view product_details {
    label: 'Product Details'
    fields: product_id, product_name, price
}