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by simongerman600 on 2020-03-14 (UTC).

Number of Coronavirus cases, deaths and tests performed in two democracies with similar populations: South Korea (pop: 51 million) vs Italy (pop: 60 million). Source: https://t.co/PdEDpZGiaa pic.twitter.com/UZ8xgYQidu

— Simon Kuestenmacher (@simongerman600) March 14, 2020
dataviz
by Harry_Stevens on 2020-03-14 (UTC).

Instead, we could encourage what experts call "social distancing." If people are less mobile and interact with each other less, the virus has fewer opportunities to spread. Here's a simulation where only a quarter of the balls can move. pic.twitter.com/01wAi5Mb9Z

— Harry Stevens (@Harry_Stevens) March 14, 2020
dataviz
by MaxCRoser on 2020-03-14 (UTC).

How rapidly is the number of confirmed COVID-19 cases rising in different countries?

Since a minute ago we have a chart that allows you to answer this question.

You find it here https://t.co/8HhFFxXTAS

Big thanks @danielgavrilov.
You did a lot of hard work these weeks! pic.twitter.com/Qpe26jDabG

— Max Roser (@MaxCRoser) March 14, 2020
dataviz
by superwuster on 2020-03-15 (UTC).

This Washpost piece, which is about exponential infection and provides a simple model of various ways of slowing snow infection -- deserves some kind of prize. https://t.co/3MlAotgGsp

— Tim Wu (@superwuster) March 15, 2020
dataviz
by simongerman600 on 2020-03-16 (UTC).

Comparison of #coronavirus cases and deaths in Italy and the US. The US lags 11 days behind Italy. Therefore Italy can kind of be used as a window into the future for the US. Source: https://t.co/eewnl505Ih pic.twitter.com/yN8moWhI2d

— Simon Kuestenmacher (@simongerman600) March 16, 2020
dataviz
by randal_olson on 2020-03-17 (UTC).

Some context on the current S&P 500 crash. 2007 is the infamous 2008 crash. #stockmarketcrash #dataviz

Source: https://t.co/iz5ewTwWME pic.twitter.com/JFBIi6bxlJ

— Randy Olson (@randal_olson) March 17, 2020
dataviz
by randal_olson on 2020-03-17 (UTC).

This is an interesting way to communicate the relative mortality risk presented by #covid19, based on current mortality estimates. #coronavirus #dataviz

Inspired by a similar xkcd comic about radiation: https://t.co/Ka1pJcSEWk

Source: https://t.co/9RmVybmxV4 pic.twitter.com/oJp4pLhS50

— Randy Olson (@randal_olson) March 17, 2020
dataviz
by MaxCRoser on 2020-03-18 (UTC).

How far behind Italy is the US?
How far behind Spain is Germany?

This tool that allows you to compare confirmed deaths and cases from COVID-19 across countries.https://t.co/oUObaHvUUt

[it’s open source and relies on open data from the WHO (via us).] pic.twitter.com/FA4pIqlKPR

— Max Roser (@MaxCRoser) March 18, 2020
dataviz
by simongerman600 on 2020-03-18 (UTC).

Chart compares the coronavirus crash to date with other stock market crashes. Source: https://t.co/xImrndzSbu pic.twitter.com/XrsAZGYpMg

— Simon Kuestenmacher (@simongerman600) March 18, 2020
dataviz
by jeremyphoward on 2020-03-18 (UTC).

Note also that S Korea did *not* need a lockdown. If other countries could replicate their success, it could mean trillions of dollars, and many lives, saved. But so far testing in the US has been massively under-done. pic.twitter.com/cHkC6IYYb5

— Jeremy Howard (@jeremyphoward) March 18, 2020
dataviz
by MaxCRoser on 2020-03-20 (UTC).

The European CDC is doing an excellent job.

They provide a crucial service for all of us by maintaining a clean, daily updated, global database on the coronavirus pandemic.

I'm very happy that my taxes are used to pay for the work of these researchers. https://t.co/guXFCl4lU4

— Max Roser (@MaxCRoser) March 20, 2020
dataset
by HamelHusain on 2020-03-20 (UTC).

Did you know you could create infographics with python in @ProjectJupyter ? Neither did I until @PratapVardhan created this amazing chart using Jinja and Pandas DataFrames. Really creative. See his work at https://t.co/ZUS5E5U3yW@WillingCarol @betatim @jeremyphoward pic.twitter.com/AYkTDYEJU6

— Hamel Husain (@HamelHusain) March 20, 2020
dataviz
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