At QlikView’s core is a patented associative engine allowing for an associate experience across data types regardless of where they’re stored.
In this course, you’ll explore how to use your time-series data to build line charts. You’ll then customize these charts in various ways, such as using smoothing techniques to represent approximations or multiple lines to demonstrate values in more than one variable.
Next, you’ll configure stacked area charts to visualize the composition of variables over time before using combo charts to visualize multiple chart types on the same axes.
Finally, you’ll examine how you can explore hierarchical data using pivot tables and block charts. You’ll identify the differences between pivot tables and straight tables and distinguish how each of these represents underlying data.