21 строка
1.3 KiB
Plaintext
21 строка
1.3 KiB
Plaintext
On occasion, we find patterns in statistical noise that lead us to incorrect conclusions about the underlying data.
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The funnel plot helps you compare samples, and find true outliers among the measurements with varying precision. It’s widely used for comparing institutional performance and medical data analysis.
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In our example, the measurements are rates of certain events (such as births) in populations (such as countries) of given size.
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This visual uses a fixed effect model estimator. You can control the visual attributes to suit your needs.
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NEW: support for tooltips on hover and selection.
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Here is how it works:
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[#LI] Define two required fields to be analyzed in plot (occurrence and population fields) [/#LI]
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[#LI] Optionally, provide the fields to be shown in tooltips upon hover [/#LI]
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[#LI] You may select the Y axis to present percentage or ratio [/#LI]
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[#LI] Use numerous formatting controls to refine the visual appearance of the plot [/#LI]
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[#LI] The "funnel" is formed by confidence limits, and show the amount of expected variation. The dots outside the funnel are outliers. [/#LI]
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R package dependencies (which are auto-installed): scales, reshape, ggplot2, plotly, htmlwidgets, XML
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Supports R versions: R 3.5.x, R 3.4.x
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This is an open source visual. Get the code from GitHub: https://github.com/Microsoft/powerbi-visuals-funnel
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