Getting started with data visualization can be tricky because of all the resources and tools available these days. Approaches also change with what you want to visualize data for. For Datawrapper, Lisa Chartlotte Muth outlines how to take your first steps.

The main theme is to make more charts.

See also: getting started with visualization after getting started with visualization.

The Art of Insight, by Alberto Cairo, highlights how designers approach visualization with a wide view.

In the narrowest view of data visualization, you use charts to pull quick, quantitative information from dashboards and reports. Take a few steps back and you get exploratory data analysis and then storytelling. Keep going and you get a fluid-like approach to visualization that gives more attention to beauty, emotion, and qualitative insights that are difficult to measure. The Art of Insight, the final book in Cairo’s three-book series, focuses on the more fluid approach.

As a slow reader, I read this surprisingly quick. I enjoyed reading and thinking about the less mechanical side of visualizing data.

A lot of Christmas lights went up this past week. I hope you weren’t one of the thousands who ended up in the emergency room. USAFacts shows the ramp up after Thanksgiving and the mini-spikes after. [Thanks, Amber]

Usually inflation is more of a slow thing that you don’t notice so much until you think back to the time when a burger was only a dollar. Prices increased much faster over the past few years though. For Bloomberg, Reade Pickert and Jennah Haque zoom in on the everyday items that are noticeably more expensive. Basically everything.

I just wrapped up travel in a high cost of living area. The sticker shock on a simple grocery bill was brutal.

For the Wall Street Journal, Joe Pinsker reports on income and happiness, or more specifically, on the raises people said they needed to be happy. The more people have the more they need.

Twitter has a Community Notes feature that attempts to flag posts that contain misinformation. This might work well in theory, and the notes are often informative, but it works slowly and is often not enough to stop the spread of misinformation in a viral tweet. Bloomberg shows the spread through the lens of a single tweet.

For Associated Press, Christina Larson and Nicky Forster examined the growing population and the land required to feed all the people. A map shows spreading farmland over the centuries and at some point there won’t be enough land to grow food if we continue what we’ve been doing.

Using GPS data processed by Replica, Lydia DePillis, Emma Goldberg, and Ella Koeze, for The New York Times, show how commutes have changed post-pandemic. The roads in major cities are a little bit less congested and the traffic moves a bit faster.

The line chart above shows average speeds in 2022 relative to 2019. So you can see in most places people driving faster and more so during rush hour.

For The New Yorker, Angie Wang draws parallels between toddler learning behavior and training large language models, but more importantly, where they diverge.

They are the least useful, the least creative, and the least likely to pass a bar exam. They fall far below the median human standard
that machines are meant to achieve.

They are so much less than a machine, and yet it’s clear to any of us that they’re so much more than a machine.