tools

This week we imagine what we would do if the tool we relied on the most were to disappear.

Meant to be comprehensive more than a curated collection, the Journalist’s Toolbox AI…

Debates about which is best are useless. Go with what works for you, and never mind the rest.

If you want to maximize fun, a mixed toolbox is still best.

With all the new tools available, maybe it’s time to add to the existing toolset.

There are many tools, which makes it tempting to learn them all. Instead, learn one tool really well and the logic carries over to the others.

Use the tool that works for you.

It’s time to bask in the joys of knowing nothing again.

All the tools are a product of visualization’s many uses, which isn’t so terrible. But not all the tools are champions.

Last month I did a short Q&A about FD and my workflow. I thought I’d elaborate on one of my answers.

We know the big ones. Now here are the small ones. Focused. Efficient.

This week I reminisce back to when I didn’t know anything about visualization, and all I wanted to do was solve analysis problems. Also, some fun updates on the way, exclusively for members.

Some people love the Tidyverse in R. Others are less fond of it. For me, the more tools the better.

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.

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.

Graham Douglas, a data journalist at The Economist, looks back on the days…

Defaults are generalizations to fit many datasets, which means you usually get barebone charts. For analysis, all well and good. However, data graphics for presentation require more care after the initial output.

Welcome to the new members-only newsletter: The Process. In this first update, a certain data graphics expert seems to really dislike R, which prompts a look into the visualization tools we use and what one might get out of a bigger toolbox.