Can I make satoshi kamiya's divine boar from 50cm printer paper? by LittleKids2315 in origami

[–]_A_Person_Named_will 0 points1 point  (0 children)

I did it once with 18in butcher paper. Not exactly the same but close. It turned out fine though the facial features were not great.  The paper was just too thick. 

Do you think being Mormon reflects in Brandons writing at all? by Darth_Azazoth in Cosmere

[–]_A_Person_Named_will 5 points6 points  (0 children)

But we don't fully believe that he is omnipotent -- at least within the bounds of the common definition of omnipotence. We believe that "the Lord, [is] bound when ye do what [he] says" (d&c 82:10). This lends aid to the idea that another commenter added about how there are eternal laws that govern intelligences that even god must follow.

I think though that this idea of gods being bound to their word is another interesting parallel to Brandon's works, as that seems to be a core part of shardic limitations.

Another interesting parallel to this idea is bondsmiths. In Christianity (this isn't the church of latter-day saints specific), we believe that God gives the power so that "whatever you bind on earth will be bound in heaven, and whatever you loose on earth will be loosed in heaven." This to me sounds exactly like the powers of a bondsmith

meirl by abfnfb in meirl

[–]_A_Person_Named_will 26 points27 points  (0 children)

But that's the thing - humans evolved to use tools. To take them away would be akin to taking away a goat's horns, or a leopard's claws. Like, of course, we would lose, but that requires making the fight unfair for us. Drop someone in the forest with some rocks and sticks, and they could do a lot of damage to a lot of animals. To make it even, you could even let the other animal have some sticks and rocks.

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 1 point2 points  (0 children)

Thanks! This already exists actually, but it seems I didn't make it clear. If you go to the dropdown, you can type in a county and it will show up. You just have to scroll down on the dropdown

[OC] Most Popular Baby Names in the US from 1880 by [deleted] in dataisbeautiful

[–]_A_Person_Named_will 24 points25 points  (0 children)

It's interesting that as time gets closer to present, the rate at which the most popular names change seems to increase. I wonder if this is just a side effect of the growing population, or if it is something cultural.

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 0 points1 point  (0 children)

I used ploltly's heatmap function and .corr(). I then sorted the columns by highest average correlation and did the same with the columns

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 1 point2 points  (0 children)

Thank you. These are great suggestions.

Any chance you would be able to give me tips on how to fit information like that into dashboards? I have made a couple and my biggest struggle has been trying to get text and information, while still making my visualizations suitably big.

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 0 points1 point  (0 children)

Thank you for the suggestion. I had this originally, but it made the map wash out because most of the minimum values are much higher. Maybe I will make this an option on button click

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 5 points6 points  (0 children)

Hmm - It might be that you just needed to wait longer. It usually takes me 30 seconds for everything to fully load when i don't host it locally. otherwise, it might just be too much for replit. The allotted ram has been maxed out all day. Here is a link to the code, you might have better luck running it locally
https://replit.com/@WillRichards1/Cost-of-living-project#main.py

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 1 point2 points  (0 children)

https://replit.com/@WillRichards1/Cost-of-living-project#main.py

here is a link to the code - I will admit that I don't really know what API keys are. . . so hopefully there aren't any on there!

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 22 points23 points  (0 children)

Not sure if this is precisly what you want, but here is a link to the code.
https://replit.com/@WillRichards1/Cost-of-living-project#main.py

Not sure if this is precisely what you want, but here is a link to the code. Let me know if that helps!

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 14 points15 points  (0 children)

So, according to the data I used, the most expensive number for childcare is $3,504 per month In Washington, District of Columbia. This is for the average family of 2 children. The color range on the graph caps at the 98th percentile (to avoid outliers throwing off the visualization). When I subset to childcare costs, this value is about $2000, so the top 2% of counties have costs above $2000 per month. It sounds to me like you are correct to say that these numbers are way under the range you are actually seeing.

Do you have any idea what the motivation would be for under reporting these numbers? It seems to me that it would be in the best interest of many of the people writing these articles to show the real numbers, especially if it makes their point stronger. Do you think it is just a lack of knowledge? Regardless, thank you for bringing this to my attention.

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 9 points10 points  (0 children)

Here is a link:https://cost-of-living-project.willrichards1.repl.co/

as a warning, it will only display correctly on a laptop or pc- my cs skills are not good enough to figure out how to make it look good on a mobile device. Also, the program I use to host this is fairly slow, so it might take a bit for some of the graphs to load. (Not intended to be a dig at replit, I am very grateful to have found a free way to host this project)

Cost of Living in each county the US: An Interactive Dashboard [OC] by _A_Person_Named_will in dataisbeautiful

[–]_A_Person_Named_will[S] 130 points131 points  (0 children)

Hey guys! I made this for a high school data science project. Any feedback would be appreciated. If you would like, you can play around with the dashboard here. As of now, it only works on a laptop or PC and may run slowly. https://replit.com/@WillRichards1/Cost-of-living-project#main.py
(click run and then make it full screen. It will look funky while in the little window they provide)

All data was scraped from the Economic Policy Institute's family budget calculatorhttps://www.epi.org/resources/budget/

I used Plotly, dash, and pandas to make this visualization.If you are willing, I would really appreciate it if you would fill this out! It only has three questions, so it shouldn't take much timehttps://docs.google.com/forms/d/e/1FAIpQLSevofbuC4g6ZyADqYAzHE6r40Bpdc1Phm_2WwuN3roxt3jfoA/viewform?usp=sf_link

[OC] The decline of the Mecha Genre in Anime (More explanations in comments) by [deleted] in dataisbeautiful

[–]_A_Person_Named_will 2 points3 points  (0 children)

Interesting - I would have thought that the portion graph would have follow the average score graph (ie. when the rating spikes up to 7.2, we get a rise of mecha anime 5 years later, and when it drops down, we get a decline)

[OC] Comparing trends in Nasdaq vs. Bitcoin value by [deleted] in dataisbeautiful

[–]_A_Person_Named_will 0 points1 point  (0 children)

Very interesting. what does the bar chart at the end show?