Table
The Table Chart in AppAlloy provides a detailed and organized view of data in a tabular format.
Last updated
The Table Chart in AppAlloy provides a detailed and organized view of data in a tabular format.
Last updated
Unlike graphical charts, the Table Chart is ideal for presenting raw data, making it easy for users to read and compare individual data points directly.
This format is particularly useful for displaying datasets with multiple columns and rows, such as financial reports, inventories, or detailed records.
Suitable Use Cases:
Financial Reports: Display detailed financial data such as balance sheets or income statements.
Inventory Lists: Show comprehensive lists of inventory items with attributes like quantity, price, and description.
Customer Records: Present detailed information about customers, including names, contact details, and purchase history.
Project Task Lists: Outline tasks, deadlines, and statuses in a project management scenario.
Provides a clear label for the table, helping users understand the context of the displayed data.
Offers additional context or explanatory text for the table. It may include information about the data source or keynotes about the data.
Defines how the data is sourced and presented in the table. For example, "from table 'Sales', show all sales transactions from the last quarter."
Configures how the data is divided into pages within the table, improving usability when dealing with large datasets.
In the field of Paging, define how many rows should be displayed on each page of the table. The table will be automatically broken into several pages.
Under the table, there is a navigation that helps you know which rows are you viewing.
For example:
Your generated table is expected to have 99 rows and you set the Paging field as 5. Then your table can be shown into 20 pages, 19 pages have 5 rows per page and the last page including last 4 rows.
Control the table’s visibility based on specific conditions.
Yes: Hide the table.
No: Show the table.
Use PowerFX: Set conditions to dynamically show or hide the table based on criteria or user inputs.
