How to Merge & Transpose Data in R | Step-by-Step Tutorial
Hi everyone! I'm Sylvia, and welcome to Skillset Studio! In today's video, I'll show you how to merge and transpose data in R with a step-by-step guide. Whether you’re a beginner or looking to refine your R skills, this tutorial will teach you how to combine multiple datasets, clean them, and format the data for easier analysis.
In this video, we'll cover:
Loading data from an Excel file using the readxl package.
Merging datasets with the merge() function.
Transposing data and converting it back into a clean dataframe.
Reorganizing rows and columns for a more readable structure.
Formatting date columns and numbers (with the as.Date() and scales packages).
Saving the cleaned dataset to a new Excel file with writexl.
Step-by-Step R Commands:
readxl package for reading Excel files
merge() function for merging datasets
t() function for transposing data
as.data.frame() to convert the matrix into a dataframe
cbind() for adding row names into a column
as.Date() for formatting dates
scales::dollar() for formatting numeric values as currency
writexl package for saving data to Excel
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#RProgramming #DataScience #RDataManipulation #DataCleaning #RForBeginners #ExcelDataAnalysis #DataAnalysis #RTips #SkillsetStudio
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