Visualizing Data Distribution with Pie Charts

The Pie Chart is used to display data as segments of a circle, showing the relative proportions of different categories within a dataset. It is ideal for visualizing simple comparisons and percentages.

Configuring the Chart

Data Connections

To set up the Pie Chart, configure the following fields:

1. User Document

   • Connect to the Data Document that holds the data to be analyzed and visualized.

2. Projection

   • Select the specific data field that will be visualized in the pie chart.

3. Group Data Connection

   • Choose the field to group data by. This could be:

     • Statuses (e.g., "Pending," "Completed").

     • Values (e.g., numerical ranges like revenue).

     • Data Types (e.g., user-defined types for categorization).

4. Select Statuses

   • When grouping by statuses, choose the specific statuses that you want represented in the chart.

   • Example: Include only "Active," "Completed," or "Failed" statuses.

5. Date Data Connection

   • Select the Date Field that will filter or compare data over a specific time period.

   • Example: Use "Created At" for sorting data by creation date.

Chart Configuration

The Configuration section allows you to fine-tune how the data is processed and displayed:

1. Option Name

   • A free-form text field for labeling this specific chart configuration.

   • Example: “Orders by Status” or “Revenue Distribution.”

2. Data Index

   • Select the data field (index) from the connected document that will be processed.

   • Example: For counting documents by status, select "Document ID".

3. Operator

   • Choose the operation to perform on the data field:

     • Count: Counts the total number of entries.

     • Sum: Sums up numerical values (e.g., total revenue).

     • Avg: Calculates the average value.

     • First: Returns the first data point.

4. Type

   • Define the data type:

     • Number: Numerical fields (e.g., revenue).

     • String: Text-based fields (e.g., categories).

5. Sort

   • Choose the sorting order for the data:

     • 1: Ascending order.

     • -1: Descending order.

By configuring these options, you can generate a clear and detailed Pie Chart that highlights proportions and category distributions within your dataset.