roundup

Every month I collect links to new tools, datasets, and visualization resources. Here’s the good stuff for December 2019 and the last roundup for the decade.

Every month I collect new visualization tools, datasets, and resources. Here is the good stuff for November.

Every month, I collect new visualization tools, code, and datasets, along with helpful resources. Here’s the good stuff for October.

Every month I collect the latest visualization tools and resources on how to make the most of your data. Here’s the good stuff for September.

Every month I collect visualization tools and resources that you can use for or improve your work. Here’s the good stuff for August 2019.

Every month I collect useful visualization tools and resources. Here’s the good stuff for July.

Here is the good stuff for June 2019.

Every month I collect links to visualization tools and resources. Here’s the good stuff for May 2019.

Every month I collect the new tools, resources, and datasets. Here they are for April.

Every month I collect practical resources, new tools, code, and datasets. Here’s the good stuff for March.

Throughout the month I collect new tools for data and visualization and additional resources on designing data graphics. Here’s the new stuff for February.

Throughout the month I collect new tools for data and visualization and additional resources on designing data graphics. Here’s the new stuff for January.

Edward Tufte criticized R for not being able to do some things typographically. It came in a tweet and was likely misunderstood. Sort of. I got a clarification from the man himself.

Throughout the month I collect new tools for data and visualization and additional resources on designing data graphics. Here’s the new stuff for November.

Most people interested in visualization have made a chart with Microsoft Excel. For your basic charts, it’s really easy, and it works well for what it was intended for. The process of visualizing data with methods beyond the standard chart types can be more challenging at times.

If you’re trying to learn how to work with data, make time to fiddle with the toys in your growing toolbox. Otherwise, you just have a bunch of bookmarks and no new skills.