We spend a lot of time in Lede discussing the storytelling aspects of charts and graphs. What colors do you choose? What data do you highlight? How can you most effectively tell the story?
In times like those, it’s good to have a handful of ways to pump out charts and graphs. If you’re looking to kick it up a notch, you might be interested in more fully-featured interactive options.
DataWrapper is an open-source tool that guides you through the creation of simple interactive graphs.
matplotlib is a library for Python that allows you to create all sorts of charts and graphs from your data sets. Most any visual you see in an academic paper was probably created using matplotlib.