Kshatriyaprithviraj / Covid19-visualization-with-R

Covid-19 data visualization using R programming.

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Covid-19-visualization-with-R ๐Ÿ“ˆ

Covid-19 data visualization and minimalist implementation of Linear regression lm in R programming.๐Ÿ˜ท๐Ÿ‘€

Libraries used โ€‹๐Ÿ“š

Delineation ๐Ÿงฎ

Hello amigos and amigas !! ๐Ÿง‘๐Ÿปโ€๐Ÿคโ€๐Ÿง‘๐Ÿป This project is just an experimention to get some hands on experience with R programming. ๐Ÿ™Œ๐Ÿป

Variables which contain plots ๐Ÿ–โœ๐Ÿ“

  • Cases_worldwide_plot
    This variable gives a plot which gives an overall idea of worldwide covid-19 aka SARS-COVID cases comparison.

  • Plotting_Confirmed_cases_China_Vs_world
    This variable gives a plot which juxtaposes covid-19 cases of China with the rest of the world.

  • WHO_data_plot
    There was trend in the way, the cases in china started to mutliply in number and WHO i.e., World health organization had released a data on a due note to that trend and this variable gives the plot of that trend.

  • China_cases_surge_plot
    This variable gives a plot which shows clearly that the increase in the number of cases in china was strictly from February 15th, 2020.

  • Not_China_cases_plot_with_log_scale
    This variable gives a plot which an insight about the cases in rest of world excluding China i.e., by `filtering the cases of 'not from China' and comparing them with the rest of the world.

  • Top_countries_with_most_cases
    This variable gives a plot which gives an insight about the countries outside china that have been disrupted abruptly with massive covid-19 cases.

  • Final_countrywise_cases_line_plot
    This variable gives a plot which gives an insight about the most effected countries by juxtaposing them.

Dataset ๐Ÿ’พ

You can use this link to have a look at the dataset.

Snapshots ๐Ÿ“ท

You can open this link to have a look at all the graphs that the above variables produced.

Cheers ! ๐Ÿฅ‚

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Covid-19 data visualization using R programming.


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