Navigating Complex Data Structures – Qlik Sense Treemap

A treemap is a graphical representation of data that uses nested rectangles to display hierarchical data structures. Each rectangle represents a different data element, and the size and color of the rectangle indicate the relative size and importance of that element in the overall data set. Treemaps are useful for displaying large amounts of data in a way that is easy to understand and navigate.

In Qlik Sense, treemap charts are available as a visualization type in the chart options. To create a treemap in Qlik Sense, follow these steps:

1. Open the Qlik Sense app and navigate to the sheet where you want to add the treemap.
2. From the toolbar, select the “New Object” button.
3. In the “Add Object” window, select the “Chart” option.
4. From the chart options, choose the “Treemap” chart type.
5. Drag and drop the desired measure and dimension fields onto the “Measures” and “Dimensions” boxes.
6. Customize the chart by selecting the “Properties” tab and adjusting the various options available, such as the appearance of the rectangles and the labels.
7. Once you have finished configuring the chart, click the “Apply and Close” button to add the chart to the sheet.

It’s also possible to create a treemap using the Qlik Sense extension library. Extensions are custom visualizations that can be added to Qlik Sense to provide additional chart types or other functionality. To use an extension to create a treemap, you will need to install the extension and then follow the extension’s specific instructions for creating and customizing the chart.

A treemap is a type of graphical visualization that represents hierarchical data as nested rectangles, where each branch of the hierarchy is represented by a colored rectangle. In Qlik Sense, you can create treemaps to display and explore hierarchical data.

To create a treemap in Qlik Sense, follow these steps:

1. Load the hierarchical data into Qlik Sense
2. Create a new treemap visualization
3. Drag the dimensions and measures you want to display to the treemap
4. In the Properties panel, you can adjust the color scheme and labels to suit your needs

Treemaps are useful for exploring and visualizing hierarchical data, and they are especially useful for exploring large datasets where it’s difficult to see patterns and trends. By using color to represent different levels of the hierarchy and size to represent values, treemaps make it easy to see the relationship between different elements in your data.