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Improve strategy for chart scaling to handle outliers
#2981
Here I'm trying to visualize percentage increase across two variables (license/order), a single anomaly in the year 2022 (a single customers orders grew a lot this year) distorts the graph completely
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A single outlier in a dataset can mess up the chart's scaling and distort the whole visualization
Example: Y scatter
A single high Y-axis value can make it impossible to visualize the rest of the data points.
There are multiple ways to solve this, but I would appreciate a better automatic default
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