Summary
In this chapter, we've focused on Qlik Sense and how to communicate insights and the analyses you've made.
We started with data visualization; we created a bar chart and discussed other charts.
After data visualization, we discussed Qlik Sense functionalities which make it a great tool, not just for data visualization, but also for data analysis. These characteristics are the in-memory engine, the associative logic, and the fact that Qlik Sense doesn't need to pre-aggregate data; in Qlik Sense, you can load atomic data in memory and you can aggregate at runtime.
We've also seen the DAR approach or Dashboard, Analysis and Reporting in the design of data applications.
Finally, we defined data storytelling and reviewed Qlik Sense data storytelling capabilities.
In the next chapter, we'll create a data application. We'll start by defining the planning of the application, exploring the data, creating our predictions with Rattle, and finally, we'll create a data application using Qlik Sense...
