juweek

great job. chart looks pretty

wow, this was interesting to read

wow, congratulations Alberto! The site looks great, and I can't wait to dig into these videos

looks cool!

love it. quick, simple, informative

wow, those look amazing

wow, this is so interesting. love your account!

That's awesome! Your work is so important

Let's Use Data to Compare Milks A data-driven comparison of whole milk and its plant milk counterparts

I rarely share my work these days anymore, but figured I'd share out my latest data post because I think it's particularly fun

gourmetdata.substack.com/p/lets-use-d...

A subtle data problem I keep running into isn’t bad data; it’s categories.

Categories feel authoritative because they come from somewhere upstream, but it's important to remember that data is always recorded from somewhere, and human context matters

Which nutrients do you get from a regular cucumber?

When you break down cucumber into its nutrients, you get this chart as a result. It shows how much of our daily recommended value is met for each vitamin everytime we eat a cucumber.

You can see vitamin K's presence pretty easily

congratulations! Like someone else said, this framing helped me look more positively on my own work. To 2026!

the more heartbreaking thing to me is the absence of a good text-based social media, outside of…linkedin i guess

FlowingData An exploration of how we use analysis and visualization to understand data and ourselves.

a bit out of the box, but flowingdata.com has a lot of data-first front-end experiments that are fun

at this point, I should check to see if I didn’t work on the paper myself lol

Gentle reminder that pivoting is part of the job of a data analyst.

A common mistake I make is assuming the data will just… cooperate.

Sometimes it does. But sometimes the data is just not good for answering your question. Whether that means I find a new dataset or asking a new question, I pivot

alarming trend aside, this is such an effective way to convey this information.

not only engaging, but does a decent job of compressing a huge amount of information (daily temps) to a single object (the curves)

I‘m American so I mostly agree with you, but we unfortunately need to consider this chart

it’s especially tricky with the different videos coming from venezuela

mixed reactions + internet echo chambers = crazy stuff getting normalized

like most things, a balance of everything is probably the solution

According to other USDA FoodData database, cucumbers are 95% water.

I represented it as a sankey because...well, because sankeys are cool

Thanks for sharing, Søren!

We at the JA team wish you all a very happy new year. We are excited to continue our work doing what we do best: building a more data-forward society.

We have big things coming up!

Look at how wicked this pictorial map is! Zoom in

I personally am mixed on illustration in maps; it helps make finding important info easier (eg Statue of Liberty for NY) but I can't help but get distracted when I'm looking at them.

Either way, this beast is called 'The Geologic Time Spiral'

When you do pretty much anything on the internet, you send a request through the internet to a remote data center. Roughly 80–90% of global internet traffic passes through data centers at some stage.

Still, imagining that 10% of power demand being for data centers is bonkers

What determines the cost of your internet?

Terrain: harsher environments means its harder/costlier to build
Density: the more dense, the more users can share the bill
Tech Infrastructure: fewer cables/towers mean longer, pricier data routes
Competition: more options usually means cheaper costs

Ugh, I thought I had it but its somewhere buried in my bookmarks. I'll try to dig it up

A look at all the months the US has had a recession. Purple are recessions, blue are growth.

What I like most about this graph is the clear change in trends. whether it was because the us's economy got stronger, or if the measurement got more gray...

cool animation! what software did you use?

Horizontal bar chart on a black background showing the number of appearances of common ingredients. Butter, egg, onion, flour, and garlic appear most often (40k–60k range), followed by baking powder, milk, vanilla, and cinnamon. Less frequent ingredients include cayenne pepper, nutmeg, bacon, chili powder, and cornstarch, each below 10k appearances. https://www.reddit.com/r/dataisbeautiful/comments/idgdio/oc_top_30_most_common_ingredients_based_on_the/

This chart looks at ingredients from over 100k recipes, and lists them out in order of popularity. Oils, salt, and pepper were taken out.

Not surprised to see onions/garlic in the top 5, but I think butter's/egg's popularities are cuz this probably lists out baking recipes too