<img height="1" width="1" style="display:none" src="https://www.facebook.com/tr?id=931099456970389&amp;ev=PageView&amp;noscript=1">

Power BI Custom Visuals - Hexbin Scatterplot

Posted Jun 16, 2016 by Devin Knight

Power-BI-Banner.jpg

In part one of my Power BI Custom Visuals blog series, I showed you all the fun you can have with the Enlighten Aquarium visual. In this module, you will learn how to use the Hexbin Scatterplot Power BI Custom Visual.  The Hexbin Scatterplot is a variation of the traditional Scatter Chart but instead of using bubble size it relies on color saturation and hexbins to show value distribution. You should consider using this chart when you’re more interested in visualizing density instead of individuals points themselves.

Module 02 – Hexbin Scatterplot

Downloads

Key Takeaways

  • The Hexbin Scatterplot relies on color saturation to portray data rather than bubble size.
  • The darker the hexbin, the larger the value distribution.

image

The darker colored Hexbins represent larger data values than the lighter colored bins.

  • Under the Format paintbrush you can optionally increase/decrease the size radius of the hexbins.
  • You can also change what is displayed in the chart by turning off the Dots,Hexbins or the Rug representation

image

The Hexbin Scatterplot has several format changes that can be customized.

  • Dots – These are a single points representing the categorical data placed in the Details field property.

image

  • Hexbins – Hexbins are great when you’re looking shows density instead of individuals values. The color saturation is determined by frequency of values or the field placed in the Value field property.

image

  • Rug – Rug plots refer to the indicators in the margin that show on both vertical and horizontal axis where data points lie.

image

Find Out More

You will always be able to find this video module and advanced viewing of future modules on the Pragmatic Works On Demand Training platform.

On-Demand Training

Tagged With: Power BI, Power BI Custom Visuals


Blog Comments

Need help with this topic? Ask the author below.

 

Subscribe to Blog Updates