> For the complete documentation index, see [llms.txt](https://docs.fabricplan.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fabricplan.com/documentation/plan/intelligence-sheets/how-tos/apply-conditional-formatting/showcase-data-points-in-charts.md).
# Showcase data points in charts
Conditional formatting in charts is used to automatically change the appearance of chart elements based on data values, making important patterns and exceptions easier to see.
This article provides a walkthrough of the different types of single-click conditional formatting options available for charts. You will also learn how to customize color scales and comparison bands to suit specific reporting requirements.
### Map data values to colors
Color scales in charts make it easy to visualize patterns and magnitudes. Select the types of color scale to apply.
### Highlight positive and negative values
Use conditional formatting options to highlight values based on whether they are negative, positive, or exceed a specified threshold.
* **Select Negative** to highlight only negative values.
* **Select Win and Loss** to highlight positive and negative values with contrasting colors.
* **Select Custom Threshold** to highlight values that exceed a specified threshold.
### Add comparison bands
Use comparison bands to add reference zones to show how values stack up against benchmarks or targets. They provide quick context for whether performance falls below, meets, or exceeds expectations.
The default color scheme is a grey palette. Enable **Diverging color** for a multi-color palette.
#### Modify color scales
* When **Reverse scale** is enabled, the shades assigned to smaller values are reassigned to larger values and vice versa. Let us take a sequential color scale as an example. By default, darker colors signify higher values and vice versa. As **Reverse scale** is enabled, darker shades are assigned to smaller numbers.
* Use the **Number of bands** option to define the number of color shades in the palette, based on the range of your data.
#### Modify comparison bands
* Set **Band color** to **Color scale** to use a built-in color scheme. Choose a **Color scale type** (Sequential, Diverging, or Qualitative) and a **Color scheme**.
* Select the **Custom** option to define your own color scheme.
* Enable the **Dynamic** option to plot bar heights based on actuals and targets.
* Enable **Show in legend** to display the band colors in the legend.
{% hint style="info" %}
#### Note
To display the legend, enable the **Show legend** toggle from **Legend settings**.
{% endhint %}
* Plot comparison bands based on actual values, target measures, or the maximum value in the series. Set **Based on** to the required option.
* Adjust the number of bands depending on the range of your data.
* When you choose the **Custom** band color option, the default color scheme is a grey palette. Enable **Diverging color** for a multi-color palette.
* Enable **Gradient color** for a gradient effect instead of clearly demarcated bands.
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