Wtf are all these pretty dots telling you?

They’re telling me nothing.

My first thought. I'm so confused bc only the trilogy one makes any sense.

Mean being more skewed isn't a good thing, means a lot of people suffer

Currently watching the third one. The horse scene was awesome

Beat on median, but mean is still half

It's built using only the daily percentage returns. The sector is shown for reference. In some cases (like real estate and utilities) they form tight clusters, but others (like technology) are all over the map. This makes sense because technology companies can vary widely in the technology they are offering.

Some interesting things I found on the interactive website version:

There's a group of Chinese companies (Baidu, Alibaba, etc). Las Vegas Sands and Wynn Resorts were in this region. After some googling, it turns out these two resorts get a huge amount of their revenue from China.

The "meme stock" region has all the favorites of a certain popular subreddit.

Interesting separation between real estate and utilities. What data is this based on?

The axes don’t mean anything because they are nonlinear combinations of a higher dimensional data set. The only label you could put is x axis, y axis

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Unlabeled X and Y axis? I'll pass.

Hard to identify much for major patterns in this but it may be because you have overlapping color labels making some of the industries indistinguishable on the chart.

are you kidding me, the rain is great! after the rain the hills look alive and refreshed, there is so much green.

Yeah despite these metrics there, San Diego will always be a very desirable place to live in with plenty of people wanting to move in for the people that want to move out.

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So whenever you read about the waning demographics of the USA in the coming decade or two, realize that it's going to hit the most in cities that no one wants to live in. And places like San Diego are not going to be affected by that.

I live in the "San Diego - Carlsbad" option.. AMA

AMA stands for "Aggravated Mortgage Angst", right?

Interactive version at https://www.mapmystocks.com

Non-linear dimensionality reduction of daily stock trading patterns.

The visualization is built using daily returns. The color coded sector is only used for reference to see which stocks actually trade like their sector.

Some interesting examples are that Ford and GM trade almost identically, but Tesla trades like a tech company.

There's the possibility that some movement is just noise, randomness in the algorithm, or dumb luck. Only high volume stocks were included to help reduce noise. Written in angular and plotly.

Disclaimer: This is for entertainment only. Do not make any financial decisions using this.

Edit: Interactive version doesn't work well on mobile due to the number of data points.

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I didn't know I needed to know this until now.

Which city offers the best balance of quality of life vs affordability ?

Corning also has a ton of cheap places in a good location in town, like under 150k for a place that is ok.

It's like Painted Post and Gang Mills are the expensive parts. Which of funny to me because after living in suburban hell outside of larger cities the last decade the aesthetic of PP and GM are off-putting to me. Yet they're very expensive compared to the cute historic maintained places in Corning.

Damn it’s almost like this r/shouldabeenabargraph

Of course my city is one of the three cities in the second highest ratio lmao

I believe this is not accurate -- per Denver Post, the net migration to CO has been positive since the early 90's.

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Source: https://www.denverpost.com/2023/01/24/colorado-population-growth-slowed-2021/

I know this question is quite off topic for a maps sub, but is “like chalk and cheese” a common expression in other places’ English? I’ve never heard it, and I like it!

My computer science professor for an algorithms class taught us about the concept of "articulation vertices" and he always did it by using terrorists blowing up power or communication lines as an analogy. Basically, these connected systems, if well made, are extremely difficult to bring down because they're usually setup in such a way that blowing up lines has very a limited effect on overall connectivity of the system.