If you have collected and processed a data set but need some help with choosing an appropriate visualization type, you might find one of these "chart choosers" helpful. It's useful to have an idea of what might be interesting about your data first, so that you can select a visualization type that will highlight that part of your data. If you're still exploring your data, you might want to try a broad range of charts and combinations.
Infographics are a popular way to tell a story using data, but it's often difficult to get started producing them yourself because they require a combination of storytelling, graphic design, and data visualization skills. There are also many possible tools you can use to produce them, from Adobe Illustrator or InDesign (access for Duke affiliates), to PowerPoint, to various online tools such as Canva or Piktochart. Below are a few resources you might find helpful to get started learning those skills and tools.
Dataset Search enables users to find datasets stored across thousands of repositories on the Web, making these datasets universally accessible and useful.