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Visualization types

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Visualization types

Visualizations are used to present the data that is loaded into the app. The selections you make in the app are reflected in all associated visualizations.

Qlik Sense includes the following charts that you use to create visualizations on the fly.

Qlik Sense native chart Type ID Description
Bar chart barchart The bar chart displays a bar for each dimension value. The bar length corresponds to its numerical measure value.
Box plot boxplot The box plot is suitable for comparing range and distribution for groups of numerical data, illustrated by a box with whiskers, and a center line in the middle.
Combo chart combochart The combo chart combines bars and lines in the same chart. The bars and lines have different axes to enable comparing percentages and sums.
Container container The container is an object that lets you add visualizations in a limited space. You can also show or hide the visualizations inside the container based on conditions.
Distribution plot distributionplot The distribution plot is suitable for comparing range and distribution for groups of numerical data. Data is plotted as value points along an axis.
Gauge gauge The gauge is used to display the value of a single measure, lacking dimensions.
Histogram histogram The histogram is suitable for visualizing distribution of numerical data over a continuous interval, or a certain time period. The data is divided into bins.
KPI kpi The KPI is used to present central performance figures. You can add a link to a sheet.
Line chart linechart The line chart displays data lines between values. Line charts are often used to visualize a trend in data over intervals of time.
List box listbox The list box is the most basic sheet object. It contains a list of all possible values of a specific field.
Pie chart piechart

The pie chart shows the relation between a single dimension and one or two measures. where the second measure determines the radius of each pie slice.

Pivot table pivot-table The pivot table presents dimensions and measures as rows and columns of a table. The pivot table allows you to analyze data in multiple dimensions at a time. The data in a pivot table may be grouped based on a combination of the dimensions, and partial sums can be shown.
Scatter plot scatterplot The scatter plot presents values from two measures. This is useful when you want to show data where each instance has two numbers, for example, country (population and population growth). An optional third measure can be used and is then reflected in the size of the bubbles. When showing large data sets colors will be used instead of bubble size to represent the measure size.
Table table The table displays values in record form, so that each row of the table contains fields calculated using measures. Typically, a table includes one dimension and multiple measures.
Treemap treemap The treemap shows hierarchical data. A treemap can show many values simultaneously within a limited space.
Waterfall chart waterfallchart The waterfall chart is suitable for illustrating how an initial value is affected by intermediate positive and negative values. The starting and the final values are represented by whole bars, and intermediate values by floating bars. You can also show subtotals in the chart.

Custom objects

Custom objects are visualization extensions and widgets that you can use to create visualizations on the fly.