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  • Writer's pictureMonica Kay Royal

Data Preparation in R

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


Data Preparation in R
.pdf
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