Recent comments in /f/dataisbeautiful

BlizzardArms t1_j3nhhrx wrote

This is a nice display. I don’t want to say anything negative about you specifically but I do want to point out something.

Here is a person who puts $10,000 cash into savings in a year in addition to their two retirement funds, who also spends $10,000 per year on going out and going out to eat

Nothing wrong with that at all.

It is just such a great illustration of America that you in that position are the kind of person who just gets $20,000 dropped in their lap tax free but other people are not even getting their food stamps

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litlbool t1_j3nhag2 wrote

Good for you. I like the chart format.

But this is super depressing to me, to be honest. I make about 40k and I guess to be able to afford an average market rate apartment I’m going to need to find a significant other that makes over 100k, or 2-3 other of “me” to be housemates (or polygamists) with.

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EngagingData OP t1_j3nby1w wrote

We are having epic rain in California and that means epic snowfall in the Sierra Nevada Mountains. I wanted to make an interactive and current snowfall visualization to keep track of the amount of water being stored in the mountains. This is an average of snow water content for all of the 120 snow sensor locations in the Sierra. You can also look at specific regions (Northern, Central and Southern Sierras).

The blue/black lines on the graph (from top to bottom) represent the 100th(max), 90th, 75th, 50th (median), 25th, 10th and 0th (min) percentiles of snow water content for each date from 1970 to 2022. The red line is the current water years value.

In general, the snowpack water content to snow depth is about a 3 to 1 ratio so in the image, the average of 22" of snow water content amounts to about 66" (5ft 6inches or ~1.67 meters). It is much more (maybe 10 to 1) when the snow first falls, but over time it settles and also compacts from the overlying snow to get to this lower number.

Here is the interactive and updated daily (sometime in the west coast morning 8-10am) visualization.

​

Sources and ToolsData is downloaded from the California Data Exchange Center website of the California Department of Water Resources using a python script. The data is processed in javascript and visualized here using HTML, CSS and javascript and the open source Plotly javascript graphing library.

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West-Stock-674 t1_j3naggs wrote

I think the bottom three classes are very visible.

The highest weight class has no upper limit, so I think what we're seeing is genetic differences in muscle gain and people who have been in the sport for different amounts of time as gaining mass takes time.

For example, Tyson weighed in at 212 for his pro-debut at the age of 18. In 2001, when he was 35, his fighting weight was 240.

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AftyOfTheUK t1_j3n637q wrote

>It was answered you numbskull.

It wasn't. You haven't given me any examples of people harmed by the things you're claiming is very very serious and very very bad.

>The fact of the matter is your position on democracy and voting is inconsistent with the near entirety of the civilized and educated world

I haven't expressed any position on that. I'm not sure who you've mistaken for me from another comment.

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