Tools used were the DLTdv8 app in matlab. Method of collection was marking pig joints with a sharpie and recording it walking on a treadmill. Points were then tracked throughout the video

Source: World Inequality Database

Tools: Excel, Rawgraphs, Affinity Designer

From our newsletter:

There’s no way to sugarcoat it: the pandemic has only worsened the problem of global economic inequality.

Perhaps nowhere is this more true than in Latin America, which has been named the most unequal region in the world by, among others, the United Nations and the International Monetary Fund.

But while it’s not breaking news that global crises further inequalities and concentrate more wealth in the hands of the rich, it may surprise you to learn where this is most the case.

The Dominican Republic, Peru, and Mexico are all among the most unequal countries in the world per World Inequality Lab figures, with the top 1% of each country earning between 25-30% of the country’s total income.

Yes, you read that right. The richest 1% of Mexicans earn over a quarter of the money flow in the country; the richest Dominicans, nearly a third.

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This is a pretty well established graph form that shows inflows and outflows of something or favourable and adverse variances. It has similarities with a Sankey, with some advantages and disadvantages.

It will generally have two coloured bars + totals, one coloured as "good" and the other coloured "bad". So this shows lots of cash from operations of which a large quantity was paid out to investors. This isn't the most interesting example of a waterfall graph. You can use them to tell really nuanced stories of financial performance if done well. I've used them to explain an organisations credit risk position and how it has evolved throughout the year.

What a waterfall does a lot better than a Sankey is that it has a concept of inflows vs outflows, which are much better for considering profitability and any form of change to a stock of items. Sankey just has flows from A to B To C. There are certain categories of information that are hard to show in a Sankey like non-cash flows and accounting losses (imagine trying to fit market movements and trading activities into the personal finance Sankey that everyone thinks is interesting). It makes up for it by being able to show much more granular information in an intuitive manner.

Hey Folks! I am looking for help in visualizing theoretical public transportation routes for a given US metropolitan area.

We have pretty lackluster service and I want to poll the public and ask them where they commute to.

Questions would be something like:

1. What neighborhood do you live in (field/drop-down)
2. Enter up to 3 locations you frequent in a month that you would prefer to take public transportation on (address field) 2a. how often do you commute to location 1-3 (daily, weekly, monthly)
3. What is your current commute time in minutes (integer)

Given this data, how could I process/visualize these trends? I would like to say "wow! A lot of people need rapid transport from towns A <-> B and towns B <-> C but not so much for towns A<->C!"

Boom! You got it. I’m not an accountant, just an analyst. But cash flow is a really good way to see the health and direction of a business.

FYI - Waterfall is the more “corporate” way of doing a Sankey Diagram if you’ve seen those

• Someone really really wanted to make a graph that looked like a McDonald's logo "M".

This is my take:

• Black bar = Funds in their bank account at the start of the calendar year (maybe fiscal?)

• Yellow bar = Money deposited into their bank account

• Red bars = Money withdrawn from their bank account

(2021 Black bar + Yellow bar) - (Red bar Investing + Red bar Financing + Red bar Exchange rate) = 2022 Black bar

Repeat the same process for 2022 bars to get 2023 Black bar.

It took me a second - I've never seen a "waterfall graph" - but I like it! Starting cash, plus new profit, minus what you spent (not including normal business expenses, so those were already taken out of sale to produce the "inflow" number), equals ending cash.

I honestly have no idea what this graph is trying to tell me

Does anybody know a good (possibly free) tool for visualising interactions between people in a timeline?

Looking for something that kinda looks like this: https://www.chartgeek.com/wp-content/uploads/2019/04/timeline-game-of-thrones.jpg

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Source: https://corporate.mcdonalds.com/corpmcd/investors.html Tool: Google Sheets

Scatterplots are usually used to show the relationship between two variables. In this case, it doesn’t look like there’s much of a relationship which tells you another kind of graph might be better.

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What I find amusing is that the older generations will tell you how they walked to school uphill both ways in 3 feet of snow, and will just as vehemently deny that the climate isn't destabilizing when there hasn't been three feet of snow since they were kids. :P

This was the old normal

Thats a great idea, thank you! Some of my numbers are so vast in range it didn't occur to me to normalise. They're sales figures so in a poor month an item might sell 1, but in a good month it might sell 250, so when figuring out seasonality I am finding it tough to pick out some "winning" months for a given product.

The report states that elevation was not taken in consideration because the observation, measurement, and data collected were form surface temperature. If anyone needs to know the effect of elevation on temperature, Further studies are needed. One’s hypothetical argument must be validated through rigorous studies to for scientific facts.

And they say white people have no culture

I asked on reddit here about what map library I should use a few weeks ago: https://www.reddit.com/r/Frontend/comments/zutb4l/recommendationadvice_for_embeddable_maps/

I started off thinking I would use Google maps, but then pivoted to Leaflet. I really liked Leaflet in the end, easy to get started with and enough StackOverflow answers that I could figure out how to get it to behave how I wanted. If you have any specific questions about the code, DM me.

It's my first time doing any development with a map, but I would use Leaflet again for sure.

There is a really good podcast episode about this from Canadaland:

https://www.canadaland.com/podcast/750-dead-willies/

Totally worth a listen even though it's from last year.

This year's prediction is hilarious. The mayor looks like he's waist deep in snow all by himself: https://county10.com/forget-groundhogs-this-february-2-lander-lils-2023-prediction-is/

It's counterintuitive, but spring weather is usually pretty overcast and grey, which is what this comes from I think.

&gt; Spring weather can be pretty miserable — oftentimes it’s grey and rainy and wet — whereas the middle of winter has plenty of bright, clear days where it is insensibly cold outside. Essentially, the Candlemas prediction assumes that overcast weather is a harbinger of spring, whereas a clear day means you’re still in the thick of winter.

I honestly thought it was half/half, so you are closer to the truth than I was.