You use different charts and tables to present the data in a quick, understandable and meaningful way.
Charts present relationships among many values efficiently, and provide you with a way to analyze data at a glance. The best choice of chart type depends on the purpose of the visualization. For instance, tables are useful when you need to view precise values, and when you want to compare individual values to each other.
Here is a list of purposes for visualizing data and the chart type recommended to achieve that purpose.
| Purpose of visualization | Recommended chart type |
|---|---|
| Compare data side by side | Bar chart |
| Combine absolute and relative values | Combo chart |
| Make selections to reduce data set | Filter pane |
| Indicate ratio | Gauge |
| Display a performance value | KPI |
| Display trends over time | Line chart |
| Display point and area data | Map |
| Display ratio to total | Pie chart |
| Create a cross table view of data and to summarize data | Pivot table |
| Display correlation of measures | Scatter plot |
| Display numbers and values | Table |
| Display text, images, links, and measures | Text & image |
| Display hierarchical data | Treemap |
| Compare range and distribution for groups of numerical data. | Box plot |
| Distribution plot | |
| Display distribution of numerical data over a continuous interval, or a certain time period. | Histogram |
| Display how an initial value is affected by intermediate positive and negative values. | Waterfall chart |
What if no standard chart suits my purpose?
You can create custom visualization objects if none of the standard charts provided by Qlik Sense fits your requirement for visualizing your data.
See: Creating a visualization using a custom object
Learn more
- When to use a bar chart
- When to use a combo chart
- When to use a filter pane
- When to use a gauge
- When to use a KPI
- When to use a line chart
- When to use a map
- When to use a pie chart
- When to use a pivot table
- When to use a scatter plot
- When to use a table
- When to use a text & image
- When to use a treemap
- When to use a box plot
- When to use a distribution plot
- When to use a histogram