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Data Preparation in R

  • Writer: Monica Kay Royal
    Monica Kay Royal
  • Sep 13, 2020
  • 1 min read

Date: November 2019


Purpose: Clean and prepare data for data analysis


Direction: This project was part of Data Science A-Z course. We were given a data set and instructed to find 5 errors within the dataset.


Tools Used: R, RStudio, Notepad++, SSIS, SQL Server


I used R Notebook to build my presentation and knit to a PDF 👍🏻


Packages Used:

sqldf - for running SQL queries

tidyverse - for data conversions



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