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Programming in R: Cleaning and Transforming Data in RStudio
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39 minutes 
english
Online - Self Paced
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About Programming in R: Cleaning and Transforming Data in RStudio
Introduction
Select groups of observations
Transform messy to clean dataset Part 1
Transform messy to clean dataset Part 2
Handling missing values
Split and combine cells
Join data from different tables
Practice 1
Practice 2
Closing Remarks and Next Steps
What You Will Learn?
- In this third short course in the "Data Analysis with R" series, you will learn everything you need to know to clean and transform data within RStudio IDE, and start analyzing data in R..
- Here is what you'll learn how to:.
- Select groups of observations and create new calculated fields.
- Transform messy to clean dataset with Pivot and Mutate.
- Transform messy to clean dataset with Mutate and String Replace.
- Handling missing values in R.
- Split and combine cells and columns in R.
- Join data from different tables in R.
- Here is what you'll get:.
- > Six (6) Instructional Videos to walk you though, step-by-step, the RStudio interface to start importing your datasets and start programming in R.
- > Three (3) Cheat Sheets. You'll get one-pager for quick reference to clean and transform data with RStudio.
- > Two (2) practice activities to improve your skills cleaning data using RStudio..
- > ALL the files used in this project.
- Here is what to do next:.
- 1. join me in this online class. >>.
- 2. Complete the course's project to build your confidence.