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AnalyzeCOVID.com

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The Corona Virus dashboard has been upgraded and embedded into AnalyzeCOVID.com website for better readability. So you no longer have to store/remember the long URL of Google Data Studio dashboard instead can easily remember the website address of AnalyzeCOVID.com . This site is mainly for those users who are interested to dig deeper and understand the numbers better and search for trends, patterns and anomalies. 

Corana Virus Analytics with prediction

In continuation to my previous post on Analytics using Corona Virus data, I managed to come up with a chart that shows prediction for next 30 days and will be auto updated based on new trends. The predicted numbers look very bad, I wasn't sure if I should share it or not, decided to share it with a thought that it is better to share it, create awareness and prove the prediction wrong than not share it and then later find out that the prediction was right. Now in total there are 5 pages (a pdf version is attached below) in the dashboard. For the interactive dashboard continue using the same link as in the previous post.

Corona Virus Analytics

This is an interactive dashboard that can be used to find trends, patterns and eventually insights related to COVID-19 (Corona Virus) from a reliable data source. Additional notes provided below the dashboard. Direct link to the Google Data Studio Dashboard is here - https://datastudio.google.com/u/0/reporting/2e4f9914-8905-4cc9-b36a-75dc3f220438/page/7JbY Best viewed on desktop/laptop Notes : This is an interactive dashboard that can be used to find trends, patterns and eventually insights related to COVID-19 (Corona Virus) You can use the filters on the top or click on the charts to filter. Feel free to embed the dashboard in your websites (of course for non commercial use). Currently dashboard doesn’t have real-time information. There is a delay of about 24 hours as the data is mainly sourced from https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data ( 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE). For some o...

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