Cleaning Medical Data with R

In this workshop you will learn how to import messy data from an Excel spreadsheet, and develop the R skills to turn this mess into tidy data ready for analysis. If your answer to any of the following questions is “yes”, then this is the right workshop for you. (1) Do you frequently receive untidy data for analysis in Excel spreadsheets? (2) Does this drive you slightly batty?(3) Do you want to learn how to make your life easier with a suite of data cleaning tools? The workshop is designed for those with some experience in R. It will be assumed that participants can perform basic data manipulation. Experience with the {tidyverse} and the pipe operator is a plus, but not required. You will learn how to (1) To import Excel files with (common, messy) data problems; (2) To address and clean common messy data problems in each variable; and (3) To address and clean data with more complex meta-problems, like pivoting to long format for data analysis, dealing with multi-column headers, color-coded data (gah!), and un-pivoting pivot tables into tidy data.
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[@houseofscientists7139]

I watched this workshop. It is an excellent workshop. Thank you, speakers and R consortium sharing on youtube.

[@shannonpileggi401]

the Exercises/Data section has been updated with a link

[@lameckchirwa3035]

Hi, I am kindly asking for the link to the data

[@laluthomas3167]

Hello, can anyone provide me the link to the data messy_uc.xlsx please?