A weekly newsletter for members about how we visualize data and the tools we use.
This week’s issue is public.
Warning: This week’s issue talks about sexual harassment at DataCamp.
In this issue I go over my somewhat delayed shift towards making charts that work in different screen sizes and the tools that work for me.
Every month I collect practical resources, new tools, code, and datasets. Here’s the good stuff for March.
There’s a new hotness in chart town. It’s a bar chart. But it moves to show rankings over time.
John Tukey wrote, “The greatest value of a picture is when it forces us to notice what we never expected to see.” Not everyone wants to see though.
Histograms for a general audience can be a challenge. I’m curious if building up the distributions over time can be helpful.
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.
“How do I make my data come alive? I want it to sing. I want it to dance.” Here are some ways to achieve that.
Figure out the useful bits and get rid of everything else.
In visualization, there are tools, templates, and defaults, which are meant to be copied and reused. Then there are data graphics that are designed with a specific purpose and dataset, which are something more than a certain chart type.
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.
Unfortunately, you can’t just conjure data out of thin air. Well, I guess you can, but it’d probably be sort of unreliable. Kind of. Maybe. So where do you find data? Here’s where I’m at in 2019.
Datawrapper is an online tool that helps you make nice-looking charts for the web. No code is required. Instead, a focused interface lets you load data, pick your chart type, refine, and publish.
Compelling visualization doesn’t just conjure itself out of nowhere. The ideas come from somewhere, and oftentimes they build off previous ones.
D3.js can be used for a lot of things, and for some people it’s too much to deal with.
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.
Google announced that Fusion Tables will be laid to rest, which highlights a need for preservation of visualization for the long-term.
A couple of famous directors were defending animated films as a medium rather than a genre of film meant for kids. I got to thinking about the parallels to visualization.
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.
In the spirit of the holidays, here are the tools I am most thankful for. Without them, work would be much more tedious and painful.
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