A table visualization displays your data in rows and columns. Tables are useful when you need to show several attributes for each item in a dataset, combining text and numbers together in a single, structured widget.
When to use a table
Tables are a good fit when your data has multiple columns of detail that viewers need to reference together. They work best for presenting raw, structured information rather than highlighting a trend or ranking.
If your goal is to rank items by a single value, a leaderboard visualization is a better fit. If you want to highlight change over time, consider a line chart or column chart. Tables are the right choice when the detail across several columns matters more than highlighting a single trend, ranking, or comparison.
Example uses of a table
A team lead might use a table to show an on-call or shift schedule, with columns for the team member’s name, role, shift window, and contact details. This type of reference data doesn’t lend itself to a chart since there’s no numeric comparison involved.
An operations team could display a list of active vendor contracts, with columns for the vendor name, contract type, renewal date, and monthly cost. The table gives the team a quick way to scan and reference specific details during a review meeting.
A procurement team could use a table to display recent orders alongside details like supplier name, product type, region, unit cost, and total value. Each row represents a record, and the value comes from seeing all of the details together rather than charting any single metric.
How wrapping works on table widgets
When a table contains more data than fits within the widget’s size on your dashboard, you can control how the overflow is handled using the Wrapping setting.
To access this, click the ellipsis on the table widget, then select Visualization options. You’ll see three options:
Always. Wrapping stays on at all times. The table continues displaying content by creating an additional side within the widget.
Auto. Wrapping activates only when the data exceeds the available space. If the content fits, it displays normally. If not, it wraps automatically.
Off. Wrapping is disabled. Only the data that fits within the widget boundaries is displayed.
Auto is a good starting point for most use cases. Choose Always if your dataset consistently exceeds the widget’s visible area and you want a predictable layout.
Tips for creating tables
Decide on a clear title
The title should be a brief description of the data that you want to show.
Keep the number of columns focused on what matters most for your audience
If viewers need to absorb the information at a glance on a TV screen, fewer columns with the most important data will be easier to read.
Place the most important identifying information in the first column
Placing the name or label first helps viewers orient themselves quickly when scanning the table.
Use emoji or symbols in your source data to add visual indicators
For example, colored circle emojis can highlight which items need attention without requiring viewers to read every value.
Adjust the precision of your data
You can use the Fine-tune settings to adjust how values are displayed on the chart:
Abbreviation: Numbers can be shown in their raw state, or as Thousands (K), Millions (M), or Billions (B).
Decimal Places: Control how many decimal places are displayed. The default option is to show numbers with automatic decimal places applied.
Unit: Allows you to manually enter any prefix or suffix up to 3 characters long. For example, you might add a currency symbol, such as $, as a prefix, or a unit, such as hrs, as a suffix.