Summary

In this chapter, we discussed common mistakes when creating visuals for IoT data. Some tips were given to avoid making them. We introduced a method to develop dashboards and visualizations to communicate analytics to an audience. The method has the goal of aligning the visuals to the thought process of the person interacting with them.

We reviewed the use of position on a dashboard to convey importance. The most important piece of information should be in in the upper-left part for cultures that read left to right. Color can also be used effectively to highlight key information to the audience.

Tableau was used to demonstrate how to quickly create a dashboard to communicate your analytics in an interactive way. We walked through an example with the IoT weather data continued from a previous chapter. Some principles of alerting were reviewed along with an example using Tableau.

For further exploration, not discussed here but worthwhile for you to learn, there are also some great visualization...