I think the downfall here is these look like countries and people thought you were saying this country has this recipe

Correlation does not immediately offer a proof for causation

I do prefer (chicken pot) pie over pot chicken pie any day of the week

This is true.

Visualizations of high-dimensional data are hard to make intuitive since it attempts to plot a dataset with 768 dimensions in a 2-dimensional image. So the axes do not have a label, like in a PCA.

Honestly looking for a better way to do this

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Does anyone know where to find the latest inflation data on all coutries?

similar to this: https://wisevoter.com/country-rankings/inflation-by-country/

but that's based on 2022 data I think.

UMAP is like a PCA in that they both do Dimension Reduction. UMAP seems to scale a bit better with lots of dimensions.

I had to cancel hello fresh because I couldn’t take another meal centered around their beloved scallions and sour cream triangles.

Each dot is a recipe, The clusters are similar recipes.

The distance is the difference in ingredients.

>presents no data

The distances between clusters are representative of the differences in recipe ingredients, further away, the more differences.

For example, that is why Sheperd's Pie is so far away from the others. But point taken, there are no very apparent conclusions.

The joke is that those areas are land

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I don’t know what those tools are, but is this a type of principle components analysis? I’m guessing not because there are no axes labeled with principle components. Anyway, I feel like you could do what you’re trying to do with PCA and put different ingredients as different components (I have a very limited understanding of PCA though). Anyway I actually think it’s interesting visualizing the variation in things we lump into the same category, even when those categories are well founded.

I promise that wasn’t the problem. What are the sections visualizing?

How could it be represented differently with data?

Honestly trying to figure this out for a client.

I thought it was the primary pie type by country and the dark red splotch in the upper right was Italy, but it unraveled from there.

I would have to actively work for hours to create a less clear representation of a really cool concept

Yeah I'm wondering the same, is it some new shorthand for they/them?

>what is being visualized

Maybe if I reordered the words to "Recipes for Pie clustered by ingredients"?

what does the distance between them mean? color means nothing other than to differentiate groups, on the first look. what is the difference, if there even is any, between horizontal and vertical distances, why are they clumped together on the left and the right. why so many crusts, why does it say pie every time, it obscures preception of size.

literally anything would make more sense, this is a piece of bad modern art before it is a representation of data.

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Shutter island and howls moving castle are in my top 5 movies and I’m also a she/neo pronouns lol

Wherever this is it makes no sense, presents no data and if just mindbogglingly terrible...

"...viewers need to be able to understand what is being visualized based on information provided in the visualization and its title."

This is in the sub's rules. Let's see if it gets enforced.

This is the ugliest data ive ever seen presented LOL