In Pronnel, Donut Chart Widgets offer a concise and visually appealing way to represent data, mainly when showcasing the proportion of a single value across different groups. This tutorial will guide you through creating Donut Chart Widgets, using an example of analyzing campaign leads and customizing their settings in Pronnel.
Let's analyze campaign leads to determine which types of campaigns generate the most leads.
Donut charts are effective for displaying proportions within groups.
They visually represent data slices as circle segments, allowing for easy comparison.
Define X-axis: Select the criteria for slicing the Donut (e.g., Source Campaign).
Define Y-axis: Choose the numeric value to display in the slices (e.g., count of leads). Other options include Count, Max, Min, Median, Average, or Sum.
Optionally, enable 'Add Description' to provide context for the widget.
Utilize 'More Settings' to customize legend position, data sorting, and board selection.
Select 'Source Campaign' for the X-axis and count of leads for the Y-axis.
For instance, filter data to show leads from a specific sales quarter.
Review the configured settings to ensure accuracy.
Once added, interpret the Donut Chart to gain insights.
Identify which campaign types contribute the most leads.
Use this information to optimize future marketing strategies.
Donut Chart Widgets in Pronnel offer a powerful tool for visualizing data, particularly when analyzing proportions within grouped data sets. Following this step-by-step guide and customizing the settings to your specific data and objectives, you can effectively utilize Donut Charts to gain insights and make informed decisions. Experiment with different configurations to best represent your data and enhance stakeholder understanding.
It visualizes proportions of a single value across groups using a circular chart with segmented slices.
Open your dashboard or overview view, add a new widget, choose Chart → Donut Chart.
Proportions within grouped data, like distribution of leads by campaign type.
X-axis: grouping field (e.g., Source Campaign). Y-axis: numeric value (e.g., count of leads).
Count, Max, Min, Median, Average, or Sum—pick based on your analysis needs.
Yes. Enable Add Description to explain the widget’s purpose and context.
Use the Filter icon to refine the dataset (e.g., show a specific quarter only).
Keep it concise, label clearly, and refresh periodically as data evolves.
Identify which categories contribute most and use that to optimize future strategy.