Tutorial | Paneled and animated charts

This tutorial showcases creating paneled charts and vibrant animations with playback control.

Supporting data

This tutorial uses the Orders_enriched_prepared dataset from the Haiku T-Shirts project, found in the gallery.

This dataset is the result of enriching the orders data with customer data and preparing for visualization. You can download orders_enriched_prepared as a csv file.

A basic line chart

We’ll start from a basic line chart that shows the total sales (y-axis) by month of the year (x-axis) and separate lines by the category of T-shirt sold. This is a useful way to look at the patterns of purchases over the course of a year, but we’d also like to see the breakdown by gender.


Paneling a chart

One way to see the breakdown by gender is by paneling, or creating subcharts. Creating a paneled chart is as simple as adding gender as the column to define subcharts.


This is a useful way to look at the breakdown by gender, but now we’d like to gain further insight by looking at how the monthly patterns of purchases change from year-to-year.

Animating a chart

A video below goes through the content of this section.

One way to see the year-to-year change is to animate the chart. This is done in Dataiku by:

  • Adding order_date_year as the column to define animations

  • Setting the binning to use None, use raw values

  • Clicking the play button

You can set the speed of playback, pause the playback, step through years individually at your own pace, or select a specific year to examine.

What’s next?

You can view the final animated, paneled chart in the Dataiku gallery.