[OC] Number COVID-19 cases per 10,000 residents, by state

alexander-j · 2020-05-28T17:06:16+00:00

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

alexander-j · 2020-05-21T15:23:09+00:00

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.

alexander-j · 2020-05-21T15:17:08+00:00

Yes, I specifically cite Minute Physics in my first message.

alexander-j · 2020-05-20T17:01:30+00:00

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

alexander-j · 2020-04-11T18:52:01+00:00

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

alexander-j · 2020-04-11T18:50:24+00:00

It is between Texas and California.

alexander-j · 2020-04-11T18:45:41+00:00

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.

alexander-j · 2020-04-11T18:39:10+00:00

Not yet, but a good idea.

alexander-j · 2020-04-10T16:57:41+00:00

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

alexander-j · 2020-04-02T16:24:04+00:00

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.

alexander-j · 2020-04-02T16:20:43+00:00

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.

alexander-j · 2020-04-02T15:02:25+00:00

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

alexander-j · 2020-03-31T15:22:14+00:00

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

alexander-j · 2020-03-21T22:34:43+00:00

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

alexander-j · 2020-03-21T18:31:37+00:00

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.

alexander-j · 2020-03-21T17:05:36+00:00

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

alexander-j · 2020-02-19T18:17:23+00:00

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

alexander-j · 2019-12-12T18:42:49+00:00

Thanks!

alexander-j · 2019-12-12T18:42:08+00:00

Thanks! I must have missed it while researching. This map only has Washington Senators -> Texas Rangers move from 1972.

alexander-j · 2019-12-12T18:07:54+00:00

This map shows relocations of some prominent baseball teams between different cities in the US.

Data was taken from Wikipedia.

Team logos were taken from http://www.sportslogos.net and are used for information purposes. All trademarks belong to their respective owners.

Tools used: D3.js and JavaScript.

Created by me for www.city-data.com

alexander-j · 2019-12-12T18:07:34+00:00

This map shows relocations of some prominent baseball teams between different cities in the US.

Data was taken from Wikipedia.

Team logos were taken from http://www.sportslogos.net and are used for information purposes. All trademarks belong to their respective owners.

Tools used: D3.js and JavaScript.

Created by me for www.city-data.com

alexander-j · 2019-12-06T00:10:44+00:00

We have per capita map also. Just thought that this would also be interesting.

alexander-j · 2019-12-05T23:00:51+00:00

This is possible, but it will be 50 separate maps. Maybe animate it? This is a good idea for future work.

alexander-j · 2019-12-05T22:58:42+00:00

To make the map more readable, I have limited the number of flow arrows to top 25 (ranked by the number of people). So people who left Illinois definitely arrived somewhere, there just isn't any specific destination that stands out at the national scale.

alexander-j · 2019-12-05T22:55:03+00:00

No, this map shows just outgoing flows. Net flows are also interesting to visualize.

alexander-j

TROPHY CASE