How to add axis highlights to your Scatter visualization
Quite a few Flourish templates allow you to add axis highlights to your charts to call attention to different parts of the visualization.
To create axis highlights in the Scatter templates:
Go to the Axis highlights settings and select to add x axis highlights, y axis highlights, or both. X axis highlights will give you vertical highlights, while y axis highlights will give you horizontal highlights.
- Line highlights
- Adding a line highlight will give you a vertical or horizontal line in your visualization. Use a line highlight to focus on a single point in time.
- To add a line highlight, supply the text you would like to display in your annotation, followed by two colons (::) and the point in time or value you would like to display it at. This point in time or value will have to match the column or row name in your dataset.
- Range highlights
Adding a range highlight will highlight a range in your visualization. Use range highlights when you want to highlight an extended period of time.
- To add a range highlight, supply the text you would like to display in your annotation, followed by two colons (::), the point in time or value you would like to start displaying it, two "greater than" signs (>>) and the point in time you would like to stop displaying it. These points in time or value will have to match the column or row name in your dataset.
- Tweaking the highlights
- There are several tweaks you can make to display your highlights differently.
- If you just want a line and no text, for example, you can just put a space followed by two semi colons and the point in time or value. Similarly, if you just want the text and not the line, you can change it to zero.
- If you'd like a solid line, you can select a dash value of zero, and if you'd like it to display more like dots, you can select a value like 7.
- You can select to change the colour of your line, range and text, and when adding range highlights, you can change the opacity. If you'd like it to be opaque, you can supply a value of 1.
- You might want to add annotations to your Scatter plot for more flexibility in positioning, adding selective data labels, and more.
- Here's an example of annotations in a Scatter visualization:
- You can learn more about adding annotations in this help doc.