This repository contains a free PowerBI custom visual to create Statistical Process Control (SPC) charts. This page is a guide on how to download, and install it. It has been developed by the Safety and Quality team at the West Australian Health Department's Healthcare Quality Intelligence Unit. The visual is implemented purely within PowerBI and has no dependencies on external programs like R or Python. The visual supports hover-over-tooltips as well as cross-plot filtering and highlighting.

The following chart types are (currently) implemented:

• Run: Run Chart
• i: Individual Measurements (AKA XmR)
• mr: Moving Range of Individual Measurements
• p: Proportions
• p': Proportions with Large-Sample Correction
• u: Rates
• u': Rates with Large-Sample Correction
• c: Counts
• xbar: Sample Means
• s: Sample SDs
• g: Number of Non-events Between Events
• t: Time Between Events

The most recent version of the visual can be downloaded from the 'Releases' section. Save the file to your desktop. Within Power BI, use the Visuals pane and add using the 'Import visual from a file' option:

Find the file on your desktop and click OK. The custom visual will show as a new icon.

Once you have installed the visual and added it to your report, you can add the desired data (numerators, denominators, and dates) to the visual:

The visual will default to displaying an i-Chart:

You can change this through the 'Data Settings' menu:

Aesthetic options for the lines, scatter dots, and chart axes are also available.

You won't need to do this step if you have installed the visual. However, if you have strong IT skills and you'd like to build the PowerBI visual locally, (.pbiviz file), you will need a working Node.js installation and internet access. After that, navigate to the project source directory and run:

npm install
npm install -g powerbi-visuals-tools
pbiviz package

Thiw will create the visual for you. The .pbiviz file can then be found in the dist directory