wokalski / covid-19charts.com Goto Github PK

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When deleting Spain, Belgium's color changes:

Would it be better if the color of Belgium stayed the same?
For a minute I thought Belgium disappeared, couldn't find it on the graph anymore.

Really great work with this @wokalski - couldn't agree more with this type of chart being critical to help people understand their own situation in context to others! 👏

One idea I had was to show the exact day for a given set of y values, on hover:

You see here:

I see it is only on narrow width views too, although it is really apparent on mobile.

You can't see exactly what the day is, have to assume it is 11, be great if it always showed the day number that you are hovering on (either in the axis or in the onhover box).

Reason being, it is easier to calculate, future growth predictions, doubling time, etc. I see you have other TODOs here on that too. 👍

Again, thanks for this, and great work! Hope this is helpful.

Especially for the mortality rate - even 2nd decimal place would be useful
But for % of growth integers aren't as useful :)

I guess this is one chart type, but a new-cases is also interesting.
Both number, and percentage of the existing (as it's a % of the existing cases) - as seeon on Wikipedia for example :D - https://en.wikipedia.org/wiki/2020_coronavirus_pandemic_in_Italy#Timeline

And even (what I had an idea for) - new cases as a percentage, but not of every case, but of the recent new cases. Because if a country accumulated thousands of positive cases in the hospitals or homes, they don't spread the virus (or shouldn't). What's more interesting is how fast does it sprepread based on how fast did it spread recently. Because today's new cases would be based on yesterday's new cases' connections :) This would give us a good (better IMO) for how easy it is to spread divided by how cautious/socially distant people are.
IMO we'd see quite a difference between places like Italy and Japan or China.

Hey,

Nice idea with charts. Potentially useful for comparing situation between countries. 👍 Sadly I can't say which country is which on the chart. Their colors all look the same to me. I'm color blind but this shouldn't be so bad. I suggest using a color palette designed for data visualization instead of picking colors randomly. One of the popular ones is ColorBrewer. I think the "paired" scale would work well. I'm not sure how to install it in JS these days (or whatever .re is 🙃) but I've used the version from d3js.org in the past.

🌈📈

Thanks to that it'll be easier to visualize how those policies impact virus spread.

Something like # of cases / population of region

Related to #10
I thought that there would be handled on all charts. But they only show on the "Mortality rate"

When you open a chart from a link lines > 5th are gray

But when you add or remove a country & chart gets rerendered - the colors show up: