In this capstone we will be applying data science in the area of natural language processing. We’ll describe the major features of the training data with our exploratory data analysis and present how to create the predictive model.

## Download libraries
## Step 1: Download the dataset and unzip folder
## Check if directory already exists?

capstonedatasetlink <- "https://d396qusza40orc.cloudfront.net/dsscapstone/dataset/Coursera-SwiftKey.zip"
projectfolderpath <- "./projectData"
zipname <- "SwiftKey.zip"
zippath <- paste0(projectfolderpath, "/", zipname)
datasetfolder <- "final"

if(!file.exists(projectfolderpath)){
  dir.create(projectfolderpath)
}
## Check if zip has already been downloaded in projectData directory?
if(!file.exists(zippath)){
  download.file(capstonedatasetlink,destfile=zippath,mode = "wb")
}
## Check if zip has already been unzipped?
if(!file.exists(datasetfolder)){
  unzip(zipfile=zippath,exdir=projectfolderpath)
}

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