From 9da32a85df5a8a0b6f80204c7d2c7a38377bdc12 Mon Sep 17 00:00:00 2001 From: Antony Milne <49395058+antonymilne@users.noreply.github.com> Date: Fri, 29 Nov 2024 11:31:35 +0000 Subject: [PATCH] Update vizro-core/docs/pages/user-guides/data.md Co-authored-by: Jo Stichbury --- vizro-core/docs/pages/user-guides/data.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vizro-core/docs/pages/user-guides/data.md b/vizro-core/docs/pages/user-guides/data.md index 8cda0d13c..99f27490b 100644 --- a/vizro-core/docs/pages/user-guides/data.md +++ b/vizro-core/docs/pages/user-guides/data.md @@ -271,7 +271,7 @@ data_manager["no_expire_data"].timeout = 0 You can give arguments to your dynamic data loading function that can be modified from the dashboard. For example: - To load different versions of the same data. -- To handle big data you can use an argument that controls the amount of data that is loaded. This effectively pre-filters data before it reaches the Vizro dashboard. +- To handle large datasets you can use an argument that controls the amount of data that is loaded. This effectively pre-filters data before it reaches the Vizro dashboard. In general, a parametrized dynamic data source should always return a pandas DataFrame with a fixed schema (column names and types). This ensures that page components and controls continue to work as expected when the parameter is changed on screen.