It provides a larger number of visually distinguishable classes than a single color in different shades.

I’d really like to see Florida’s. First final four in 1994, multiple after that and 32 points in two years. Unfortunately a pretty flat line outside of that.

Nevermind, I think I found them. If I’m following the line right. Is Florida the next team after Louisville? I’m seeing first bump in 1994, big jump 2006-2008, and some jumps afterwards.

I wonder how much Ohio will change in the next 12 months

Looks like I need to change my pronouns to Xe based on these film choices!

This probably has more to do with diagnosis than anything...

Are you suggesting there are more or better doctors in Louisiana? This map tracks with every health map I’ve seen.

My buddy never lets me forget the time I picked Louisville to win it all and they got bounced in the opening game of the entire tournament.

First, tripplecheck that the west isn't underdiagnosed and shouldn't join the east in having a more complete identification of health issues.

I guess people need to know clustering to understand this at all

:/ it doesn’t… Texas, Florida, Massachusetts, New Jersey all same color, West Coast, Wyoming, Montana, Vermont all same color.

u/dataisbeautiful-ModTeam :

Sources:

1. Google Trends, Web search volume for word "Bitcoin" (Period: 2018 - 2023, Location: Worldwide): https://trends.google.com/trends/explore?date=today%205-y&q=bitcoin
2. Bitcoin price in USD, Coinmarketcap : https://coinmarketcap.com/currencies/bitcoin
3. Software visualization: Python-PK, PyTrends, Matplotlib

I hereby declare, that I have myself created this content using the mentioned tools and by combining the listed data sources together. My contribution is scaling the different sized scales of both variables (search volume and Bitcoin price) to the same common scale, so viewers can compare easily the grown of both functions.

P.S: I will try to post in future an improved version of this post with first and second derivatives of both functions.

Wow! This is very cool, thanks for sharing!

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Yes, if you need to look at the scale to actually understand what is going on then you made a mistake in your visualisation.

the colour means nothing, only the distance matters

and the distance is reduced in its dimensions

The correlation with the geographic distribution of obesity has already been noted in the Comments. Notice, too, the association with Tobacco Nation:

https://truthinitiative.org/sites/default/files/media/images/standard/2019/05/tobacco-nation-2019-social.jpg

Why do old Americans go east?

Can we just get rid of the south? They cost the rest of us money and provide basically nothing. Plus they’d be more than happy to leave.

euclidean distance of baking ingredients

I wonder if differing atitudes toward self-reliance lead to underutilizing health services. A western rancher can't get diagnosed with 4 chronic diseases if he's only gone to the doctor that one time when his arm fell off.

Why is it that US statistics maps always look exactly like the election map lol

Hotspot in CO is interesting.

I thought that too.

Trees rarely get heart disease or lung cancer

The main takeaway I’m getting from this is that everyone has terrible taste, regardless of gender.