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Part1- Web Scraping for Affected Countries by COVID-19 in R with free Source Code
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In this video, I am presenting the first part on web scraping for affected countries by COVID-19 (Novel Coronavirus) in R. This video series will cover different geographical, epidemiological, genomic and proteomic analysis. I am doing this series to make myself useful for our friends in China and any other countries affected by the novel coronavirus (COVID-19).
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As everything is changing very quickly so check the updated code at GitHub before watching this video.
The link to free source code with complete description is given below:
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Parts in this series:
Part 2- Plot Affected Countries by COVID-19 in R by using leaflet package (free Source Code)
Part 3-How to Plot Values of Cases of COVID-19 on Interactive MAP in R by using leaflet package.
Part 4- How to make Animated Plots of COVID-19 Cases in R by using ggplot, ggplotly and plotly.
Part 5 - Dashboard for COVID-19 cases in R by using Flexdashboard and Shiny. (Ch#1 Layout Design)
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I am thankful for the free resources provided by different persons and websites in context of this video and code.
#COVID-19 #webscraping #R #Tutorial
###########
As everything is changing very quickly so check the updated code at GitHub before watching this video.
The link to free source code with complete description is given below:
###########
--------------------------------------
Parts in this series:
Part 2- Plot Affected Countries by COVID-19 in R by using leaflet package (free Source Code)
Part 3-How to Plot Values of Cases of COVID-19 on Interactive MAP in R by using leaflet package.
Part 4- How to make Animated Plots of COVID-19 Cases in R by using ggplot, ggplotly and plotly.
Part 5 - Dashboard for COVID-19 cases in R by using Flexdashboard and Shiny. (Ch#1 Layout Design)
--------------------------------------
I am thankful for the free resources provided by different persons and websites in context of this video and code.
#COVID-19 #webscraping #R #Tutorial
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