# R is at its basics a programming language that is made intuitive. It uses "base R" as a foundation language upon which a more understandable natural language (a summary of sorts) can be built for everyday use as form of packages.
#this is crucial in that, a data scientist is not bogged on writing long programming languages to perform simple data manipulations....decreases typing and clicks to be more focused on the task than the language itself.
# The tidyverse is a collection of packages that collectively allow three basic functions in data science: 1) Accurate data importing 2) Data wrangling 3) Data visualization
# we will see each function with an emphasis on data visualization
#Accurate data importing allows easier data wrangling. The tidyverse package uses the "readr" with, read_csv command package to allow much faster and accurate data importing than its base r counter part, read.csv. 

#Let us see this in real world data...Shall we!
#go to the CDC Wonder data [website](https://wonder.cdc.gov/) 
#you can watch the following YouTube video [tutorial on how to download](https://youtu.be/VhdJ3kDtqgU)

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