Covid-19-visualization-with-R 📈

Covid-19 data visualization and minimalist implementation of Linear regression lm in R programming.😷👀

Libraries used ​📚

• ggplot2
• magrittr
• dplyr
• xlsx

Delineation 🧮

Hello amigos and amigas !! 🧑🏻‍🤝‍🧑🏻 This project is just an experimention to get some hands on experience with R programming. 🙌🏻

Variables which contain plots 🖍✍📐

• 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 💾

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

Snapshots 📷

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

Cheers ! 🥂