https://store-images.s-microsoft.com/image/apps.18606.b881d667-c36a-48a6-b76b-5349677c2deb.e259b8f0-b435-4110-8755-cbb3fdb38770.0d51eb03-6433-4117-92d6-b55f5cf0d159
Funnel Charts
por Government of Western Australia - Department of Health
Create a funnel plot to identify outliers in your cross-sectional data
Funnel plots are a popular tool for identifying outliers when comparing measurements from multiple organisations or establishments. These charts allow you to identify whether a given unit 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:
- Proportion
- Indirectly-Standardised Ratios
- Ratio of Counts (Rates)
The visual also provides an additive adjustment for overdispersion, as discussed in:
Spiegelhalter DJ. Handling over-dispersion of performance indicators. BMJ Quality & Safety 2005;14:347-351. https://qualitysafety.bmj.com/content/14/5/347
Funcionalidades do visual
Este visual é certificado pelo Power BI
Visão geral
https://store-images.s-microsoft.com/image/apps.42709.b881d667-c36a-48a6-b76b-5349677c2deb.e259b8f0-b435-4110-8755-cbb3fdb38770.824d6ad7-5476-4dd3-b554-47d1dfe8a174