# Visualizing the global SARS-CoV-2 (COVID-19) situation

**URL:** <https://community.neo4j.com/t/visualizing-the-global-sars-cov-2-covid-19-situation/15253>\
**Category:** Community Content & Blogs\
**Created:** [March 2, 2020, 8:00pm UTC](https://community.neo4j.com/t/visualizing-the-global-sars-cov-2-covid-19-situation/15253 "2020-03-02T20:00:03Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![sony](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/sony/32/183_2.png) [@sony](https://community.neo4j.com/u/sony)\
**Post date:** [March 2, 2020, 8:00pm UTC](https://community.neo4j.com/t/visualizing-the-global-sars-cov-2-covid-19-situation/15253/1 "2020-03-02T20:00:03Z")

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Along with the rest of the world, we have been anxiously following the development of SARS-CoV-2, the virus responsible for COVID-19 (aka coronavirus). On this page you can use GraphXR (embedded as iframes) to explore publicly available data on SARS-CoV-2 available from Johns Hopkins University's Center for Systems Science and Engineering.

**[Tracking SARS-CoV-2 (COVID-19) globally](https://www.kineviz.com/covid19)**  
(desktop only, mobile not supported)

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**Author:** ![maciej.krzywdaa](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/maciej.krzywdaa/32/15739_2.png) [@maciej.krzywdaa](https://community.neo4j.com/u/maciej.krzywdaa)\
**Post date:** [March 3, 2020, 2:09pm UTC](https://community.neo4j.com/t/visualizing-the-global-sars-cov-2-covid-19-situation/15253/2 "2020-03-03T14:09:22Z")

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Great, but after the "boom" of the coronavirus epidemic, similar visualization formed a lots of.

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**Author:** ![sony](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/sony/32/183_2.png) [@sony](https://community.neo4j.com/u/sony)\
**Post date:** [March 3, 2020, 5:47pm UTC](https://community.neo4j.com/t/visualizing-the-global-sars-cov-2-covid-19-situation/15253/3 "2020-03-03T17:47:22Z")

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Yes, there are a lot of different perspectives out there. Which visualizations have you found most effective?

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**Author:** ![maciej.krzywdaa](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/maciej.krzywdaa/32/15739_2.png) [@maciej.krzywdaa](https://community.neo4j.com/u/maciej.krzywdaa)\
**Post date:** [March 19, 2020, 8:27am UTC](https://community.neo4j.com/t/visualizing-the-global-sars-cov-2-covid-19-situation/15253/4 "2020-03-19T08:27:24Z")

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In this situation I prefer only data in dataframe and creating own plot using eg. python librares