How row and column filters work
If your dataset is particularly large or you want to make your project more engaging, a number of Flourish templates enable you to set row and column filters.
Row filters
Row filters allow you to create a user-facing control that enables the user to switch between different categories based on the value populating each row.
Next, we need to add our column bindings. Low-carbon and fossil fuel sources will be the Values and "column A", which contains country names will be the Labels.
To filter according to income group, you should bind column D to Row filter.
Series filters
In the Controls & filters options, you can enable a series/column filter. The selection is based on the columns used for the Value column binding. Here you can choose between a single-select and multi-select filter
Formatting
You can also change its name.
TIP: If you want to create a timeline, the slider control type is a good option to visualize your date series data.
And, specify specific colors for the dropdown and its border.
Below, you can see the effects of some of the color customisation options.
TIP: Do you want to lock into view a specific control selection and this to be served by default to users? Add the project to a single-slide story.