Table Widget
Table Widget
What is the Table Widget?
The Table widget is a widget type available in Birdie Dashboards. Instead of visualizing data as a chart, it presents metric values in a structured grid where rows are defined by one breakdown dimension and columns by another. This makes it easy to scan and compare exact figures across two dimensions simultaneously, such as seeing how each feedback area performed week by week over the last month.
The Table widget is the right choice when precision matters more than visual pattern recognition. Where a chart communicates trends and relative differences at a glance, a table communicates exact values across a full matrix of categories and time periods.
How to extract the most value from the Table Widget?
Use the Table widget when you need to present granular data that viewers may want to read, reference, or export. It works best when you want to answer questions such as:
How many feedback responses did each area receive in each of the last four weeks?
How does feedback volume break down across all areas and time periods in a single view?
Which specific combination of area and date had the highest or lowest count?
The Transpose axis option adds further flexibility by swapping rows and columns so that dates become rows and categories become columns, which can improve readability depending on how many items each dimension contains.
Setting up a Table Widget
Configure the rows
The Rows section controls what appears in each row of the table.
Primary breakdown: Select the dimension that will define each row. For example, selecting Areas will render one row per feedback area.
Selection: Choose which specific items within the primary breakdown to include. By default, all available items are selected.
Limit to: Toggle this on and set a number to cap how many rows are shown in the table. When disabled, all items in the selection are displayed.
Configure the columns
The Columns section controls what appears in each column of the table.
Secondary breakdown: Select the dimension that will define each column. For example, selecting Date will render one column per time period, showing metric values for each row at each point in time.
Sort by: Optionally, define how columns are ordered.
When Date is selected as the secondary breakdown, the number of columns generated depends on the date range and time aggregation set in the Filter tab. A 30-day range with weekly aggregation will produce approximately four date columns.
Configure display settings
Still in the Setup tab, the Display settings section contains one option:
Transpose axis: Enable this to swap the rows and columns of the table. When active, the secondary breakdown dimension (such as Date) becomes the rows, and the primary breakdown dimension (such as Areas) becomes the columns. Use this when one dimension has significantly more items than the other, to produce a more readable layout.
Set filters
Navigate to the Filter tab to control the time range and granularity of the data shown.
Date range: Select the period you want the table to cover. The default is Last 30 days.
Time aggregation: Choose how date-based columns are grouped. The default is Week, which generates one column per week within the selected date range.
Advanced filters: Use the Add filter option to refine the data further, for example by a specific tag, sentiment, or source. You can also enable Ignore global filter if you want this widget to display independently of any dashboard-level filters.
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