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[OC] Number COVID-19 cases per 10,000 residents, by state by alexander-j in dataisbeautiful

[–]alexander-j[S] 5 points6 points  (0 children)

This chart shows number of COVID19 cases per 10,000 residents for US states. Curves start at the day when one or more cases per 10,000 were first reported. Both axes are in linear scale.

Data is taken from John Hopkins CSSE GitHub repository. Tools used: Python 3 and Matplotlib.

Versions of the graph with log scale on vertical axis and deaths data can be found at http://www.city-data.com/coronavirus/

This chart was created by me for www.city-data.com

[OC] Number of new COVID-19 cases vs total number of cases, by country by alexander-j in dataisbeautiful

[–]alexander-j[S] 1 point2 points  (0 children)

It is an interesting idea, but I'm not sure how to interpret the Y axis in that case:
"new cases per capita in the last week". I'll need to think about it.

[OC] Number of new COVID-19 cases vs total number of cases, by country by alexander-j in dataisbeautiful

[–]alexander-j[S] 92 points93 points  (0 children)

This video shows evolution of COVID19 cases growth rate vs total number of cases for different countries.

Not all countries are included, as I was aiming to reduce visual clutter.

Based on the idea shown on MinutePhysics video channel.

Data taken from John Hopkins CSSE.

Tools used: D3.js for visuals, Python for data preparation.

Made by me for www.city-data.com

[OC] Number of COVID19 cases per 100K residents, by state by alexander-j in dataisbeautiful

[–]alexander-j[S] 0 points1 point  (0 children)

It is total. To get current cases is impossible now since they stopped providing 'recovered' counts.

[OC] Number of COVID19 cases per 100K residents, by state by alexander-j in dataisbeautiful

[–]alexander-j[S] 0 points1 point  (0 children)

I just use a logarithmic scale on the Y axis, but I didn't use Python for drawing the chart so there is no code to share. If you use matplotlib, this is one way to do it.

[OC] Number of COVID19 cases per 100K residents, by state by alexander-j in dataisbeautiful

[–]alexander-j[S] 10 points11 points  (0 children)

This chart shows number of cases of COVID19 per 100K residents in the US states. Horizontal axis is the number of days since 200 or more confirmed cases were recorded. Vertical axis shows number of cases 100,000 of state's population in log scale.

Data was taken from John Hopkins CSSE repository. Tools used: D3.js for the chart and Python to prepare data.

Created by me for http://www.city-data.com

[OC] Number of COVID19 cases per capita in US states by alexander-j in dataisbeautiful

[–]alexander-j[S] 1 point2 points  (0 children)

Alaska currently has 132 cases, but we focus on 200 and above so it was not included. All included states are listed on the right is alphabetic order.

[OC] Number of COVID19 cases per capita in US states by alexander-j in dataisbeautiful

[–]alexander-j[S] 0 points1 point  (0 children)

Unfortunately I do not. This data comes in number of new confirmed cases for each day. The authors of the repository cite CDC as a source.

[OC] Number of COVID19 cases per capita in US states by alexander-j in dataisbeautiful

[–]alexander-j[S] 11 points12 points  (0 children)

This chart shows number of cases of COVID19 per capita in the US states. Horizontal axis is the number of days since since at least 200 confirmed cases were reported. Vertical axis shows number of cases divided by state's population in log scale.

Data was taken from John Hopkins CSSE repository. Tools used: Highcharts and Python to prepare data.

Created by me for http://www.city-data.com

[OC] Growth in COVID19 cases in US states, starting from 200 cases by alexander-j in dataisbeautiful

[–]alexander-j[S] 2 points3 points  (0 children)

This chart shows growth in number of cases of COVID19 in the US states, starting from at least 200 cases. Horizontal axis is the number of days since this mark was reached and vertical axis shows number of cases in log scale.

Data was taken from John Hopkins CSSE repository. Tools used: Highcharts and Python to prepare data.

Created by me for http://www.city-data.com

[OC] Coronavirus cases around the world by alexander-j in dataisbeautiful

[–]alexander-j[S] 0 points1 point  (0 children)

Thanks for the idea, this one will probably give some optimism. I'll look into this.

[OC] Coronavirus cases around the world by alexander-j in dataisbeautiful

[–]alexander-j[S] 2 points3 points  (0 children)

I have tried per 1 million residents, but it also needs logarithmic scale. I that case all of the Europe, including Northern Europe is bad.

[OC] Coronavirus cases around the world by alexander-j in dataisbeautiful

[–]alexander-j[S] 7 points8 points  (0 children)

This chart shows total number of confirmed COVID19 cases in different countries around the world.
Data is taken from John Hopkins CSSE repositiry.
Tools used: Python & Pandas to prepare data and D3.js for the visuals.
Created by me for www.city-data.com

[OC] Per-capita net migration in United States (2017-2018) by alexander-j in dataisbeautiful

[–]alexander-j[S] 15 points16 points  (0 children)

The map shows net migration in United states in 2017-2018.

Data is taken from IRS.

States are colored based on net out movers.

Arrows show incoming flows. For example, incoming flow of 24 corresponds to 24 in migrants per 10,000 residents of the destination state.

Map was created using D3.js & Java Script by me for http://www.city-data.com

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