Tornado Chart

Tornado diagrams or charts are a special type of Bar chart, where the data categories are listed vertically instead of the standard horizontal presentation, and the categories are ordered so that the largest bar appears at the top of the chart, the second largest appears second from the top, and so on when sorted descending. They are so named because the final chart visually resembles either one half of a complete tornado. They are ideal for representing 2 values that need to be compared across any dimension.


Metrics: 2 metrics are required. Attributes: 1 or more attributes are required. Use as Filter Option - Available

In the example below Profit and Profit Forecast are represented by the bars over time attribute Month. Also, the chart below is sorted by Profit in descending order in the editor section.

tornado inputs


We can make the sparkline chart as a combinational chart by changing the series type in the series tab. Instead of a bar, we can make a chart to show either line/area/column/scatter.


In the case when tornado chart series is changed to either line/scatter/area, we can change the marker to any shape listed in ‘marker type’ in the ‘marker’ tab.


WWe can set thresholds on metrics using any criteria to show specific colors on the chart. We can also enable data labels for only the values which are highlighted in thresholds. Open the property editor by clicking on the ‘Edit’ button and select the ‘Threshold’ tab.

tornado add threshold

In the threshold editor window apply source, target, threshold condition and the other related information to set a threshold on the chart.

tornado threshold condition

After giving all the inputs click on ‘Apply’ button.

Play-by Animation

Play by - animation shows the chart for each element of the first attribute. For more details about the play by feature please refer to play-by.

Background Image

The steps to set a background image for all Vitara charts are explained in backgroundImage.

Small Multiples

Tornado supports small multiples feature. Small multiples is explained in smallMultiples.