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Tips.md

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  • Install and load the three packages we are using. Use the CRAN or install & load them from your R Script
install ggplot2 

install.packages('ggplot2')

activate ggplot2 

library('ggplot2')


install ggvis 

install.packages('ggvis')

activate ggvis 

library('ggvis')


install BoxPlot 

install.packages('BoxPlot')

activate BoxPlot 

library('BoxPlot')

  • Open your .csv in RStudio and explore the data. You have the file hosted on your PC.
Dataset_1 <- read.csv(file="filepath/myfile.csv", header=TRUE, sep=",")
  • Or you can read your file in RStudio if having the .csv hosted on a remote site
Dataset_1 <- read.csv("http://fileurl/myfile.csv", header=TRUE, sep=",")
  • Launching R using your terminal
see code 

R

  • Launching Jupyter using your terminal
see code 

jupyter notebook

  • If you don't have R and Jupyter installed, you can still use the following links:
    RStudio - Download RStudio Desktop (Open Source Licence)
    Jupyter Notebook - You don't need to install, see Tips.md)

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