Docs: add bar/pie visualization Play link (#85898)

* Update index.md

* pie chart equivalent commit

* Updated titles to match dashboard title

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Co-authored-by: Isabel Matwawana <76437239+imatwawana@users.noreply.github.com>
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@ -24,6 +24,8 @@ Bar charts allow you to graph categorical data.
{{< figure src="/static/img/docs/bar-chart-panel/barchart_small_example.png" max-width="1000px" caption="Bar chart" >}} {{< figure src="/static/img/docs/bar-chart-panel/barchart_small_example.png" max-width="1000px" caption="Bar chart" >}}
{{< docs/play title="Grafana Bar Charts and Pie Charts" url="https://play.grafana.org/d/ktMs4D6Mk/" >}}
## Supported data formats ## Supported data formats
Only one data frame is supported and it must have at least one string field that will be used as the category for an X or Y axis and one or more numerical fields. Only one data frame is supported and it must have at least one string field that will be used as the category for an X or Y axis and one or more numerical fields.

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@ -21,6 +21,8 @@ weight: 100
Pie charts display reduced series, or values in a series, from one or more queries, as they relate to each other, in the form of slices of a pie. The arc length, area and central angle of a slice are all proportional to the slices value, as it relates to the sum of all values. This type of chart is best used when you want a quick comparison of a small set of values in an aesthetically pleasing form. Pie charts display reduced series, or values in a series, from one or more queries, as they relate to each other, in the form of slices of a pie. The arc length, area and central angle of a slice are all proportional to the slices value, as it relates to the sum of all values. This type of chart is best used when you want a quick comparison of a small set of values in an aesthetically pleasing form.
{{< docs/play title="Grafana Bar Charts and Pie Charts" url="https://play.grafana.org/d/ktMs4D6Mk/" >}}
## Value options ## Value options
Use the following options to refine the value in your visualization. Use the following options to refine the value in your visualization.