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.

In this course, you'll learn how to use QlikView charts for visualization purposes, such as Mekko charts, funnel charts, and gauge charts. You'll start by using a Bar Mekko chart to show the relative importance of bars by adding a bar width variable. You'll then use a funnel chart to visualize the comparable success rates of steps in a linear sequential process, such as the number of product views, interactions, and buys on an e-commerce site. Next, you'll use gauge charts to track how a current metric value performs against a pre-defined target value. You'll then use various QlikView gauge charts, such as the tank, thermometer, joystick, and test tube variants. Finally, you'll build and customize a scatter chart using sliders, animations, and a search box.

QlikView, a guided data analytics solution from Qlik, allows you to develop and deliver interactive guided analytics applications and dashboards rapidly. In this course, you'll set up QlikView Personal on your Microsoft Windows machine and build some standard visualizations. You'll first demonstrate and explore in detail the associative data model in QlikView, which allows you to probe and highlight all associations in your data. You'll then import custom data using Excel and CSV files into QlikView before visualizing and exploring your data using bar charts, pie charts, and grid charts. Furthermore, you'll also use special sheet objects, such as the table box, which, when every row's content is logically connected, displays several fields in your data simultaneously. Moreover, you'll use the multi box to represent values from multiple fields as drop-down values.