Resources | Chart Selectors

When sharing your story, its important you choose the right visualisation for your data. There are right and wrong choices you can make, and there are often more interesting choices you can make as well. Below you can find a selection of online tools to help you choose the right viz for your data.

1. From Data to Viz

From Data to Viz leads you to the most appropriate graph for your data.
Its a great resource to help you decide what might be the most appropriate visualisation based on your data.
www.data-to-viz.com

Decision tree diagram for choosing numeric data visualization types based on number and order of variables, showing options like histogram, box plot, violin plot, scatter plot, and stacked area plot.

2. Graph Gallery

A collection of charts made with the R, Python and D3 programming languages.
A great resource for some data visualisation inspiration, as well as reproducible code so you can create your own in your language of choice.
www.r-graph-gallery.com
www.python-graph-gallery.com
www.d3-graph-gallery.com

Icons representing different chart types including Violin, Density, Histogram, Boxplot, Ridgeline, Beeswarm, Scatter, Heatmap, Correlogram, Bubble, Connected scatter, and Density 2d arranged in rows under menu categories.