https://store-images.s-microsoft.com/image/apps.41790.13ca84f9-7f23-4711-a752-3cc6765b9865.52df1595-7731-49a6-bfa2-adcef04c95d6.52a68c0b-a276-4616-8882-05cffd41819d
SPC Charts for PowerBI
bởi Government of Western Australia - Department of Health
Identify outliers in process data over time
Statistical Process Control (SPC) charts are a popular tool for monitoring outcomes over time. These charts allow you to identify whether a given observation is likely to be statistically different from the others, after accounting for the uncertainty due to differing/limited amounts of observations, by drawing "control limits" within which 99.8% of observations are expected to fall.
The visual is implemented purely within PowerBI and has no dependencies on external programs like R or Python. The visual natively supports 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
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https://store-images.s-microsoft.com/image/apps.23955.13ca84f9-7f23-4711-a752-3cc6765b9865.52df1595-7731-49a6-bfa2-adcef04c95d6.b9907605-fabc-41ea-bb4e-01622563b213