Easy Data manipulation From wide to long data with pivot_longer() in R

#DataWrangling
#DataTransformation
#TidyData
#RProgramming
#DataAnalysis
#DataVisualization
#DataScience
#TidyrPackage
#PivotLonger
#DataCleaning
#DataPreprocessing
#DataMunging
#DataAnalytics
#DataSkills
#DataTips
#DataTidying
#RStats
#LearnR
#DataManipulation
#DataReshaping

Data used in this tutorial : https://docs.google.com/spreadsheets/...

R Script: https://drive.google.com/file/d/1RUxQ...

In this informative video tutorial, we dive into the powerful data wrangling tool called `pivot_longer()` from the `tidyr` package in R programming. If you've ever struggled with unwieldy wide tables and needed to reshape them into a tidy format for easier analysis and visualization, this video is for you!

Here's what you can expect to learn:

1. Introduction to Data Tidying:
- Understand the concept of tidy data and why it's essential for efficient data analysis.

2. Importing Data:
- We'll begin by importing a wide table into R, showcasing a real-world scenario where data is not in a tidy format.

3. The pivot_longer() Function:
- Dive into the `pivot_longer()` function, exploring its syntax

4. Hands-On Examples:
- Walk through step-by-step example, reshaping wide tables into tidy ones.
- See how `pivot_longer()` simplifies the process and makes your data more manageable.

5. Handling Multiple Variables:
- Learn how to deal with datasets containing multiple variable groups and how to pivot them all at once.

6. Visualization and Analysis:
- Once our data is in a tidy format, we'll demonstrate how this transformation enhances data visualization and analysis capabilities.



By the end of this video, you'll have a solid understanding of how to reshape wide tables into tidy tables using the `pivot_longer()` function in R. This skill is invaluable for data analysts, scientists, and anyone working with data in R. Don't miss out on this opportunity to level up your data wrangling skills!


Facebook page:
  / rajendrachoureisc  

Mail Id:
[email protected]

youtube playlist:
   • R programming tutorials