Every month we give away a dataviz book to one of our newsletter subscribers. Our previous book of the month Information is Beautiful is on its way to California to Lyle Brown. Congratulations, Lyle! After such an inspirational book last month, we return to a more practical one: Our book this month is “Data Visualisation: […]
Your viewers should be able to distinguish between factual data and projections or estimates in your visualizations. The most common way to do this is to use a lighter fill for projection/estimate values. This signals to the viewer that these values are less certain than the others. The easiest way to do this with amCharts […]
A column chart is classic – it’s understood by everyone, easy to comprehend and compare values. However, when you have more than a few columns and not that much space its readability breaks down a bit: There are several ways to resolve this: you can show every other label and force users to interact with […]
A good rule of thumb is to limit the number of lines shown in a line chart to 3 or 4. Above that the picture gets messy quite fast: When you need to show more than 3-4 lines consider using a different chart type or a panel of “micro charts” instead. Having said that, when […]
The data you have is straight to the point most of the times. When you have revenue numbers it’s usually just that. If you want to present the data as revenue-per-employee you have to transform your data to serve your vision. It’s all good while you have all the data that you need. But what […]