Exploratory Data Analysis In R Ekiti R-Users Group

In this session, we dive deep into Exploratory Data Analysis (EDA) using *R*, where we focus on key concepts and hands-on techniques that you can apply to your own datasets. Whether you’re a beginner or looking to improve your R skills, this training is perfect for anyone wanting to learn how to explore, analyze, and visualize data effectively. In This Video, You Will Learn: The fundamentals of data wrangling with dplyr and *tidyr*. How to create meaningful visualizations with *ggplot2*. Best practices for cleaning, summarizing, and analyzing data in R. How to perform summary statistics*, *filtering*, and *grouping operations. Practical examples using real-world datasets (e.g., business, education, and health sectors). *Timestamps*: 00:00 - Introduction to EDA and R 05:30 - Data wrangling with `dplyr` 15:45 - Data visualization with `ggplot2` 30:00 - Summary statistics and data transformation 40:00 - Q&A and wrap-up Resources for the training: https://t.me/+ovVW6lRCBF01YzNk Join the Ekiti R-Users Group: Our group is dedicated to helping individuals from all backgrounds get started with R and improve their data analysis skills. Join us for more online R trainings and community events: https://www.meetup.com/ekiti-r-user-g... If you found this video helpful, don't forget to like*, *subscribe*, and click the *notification bell to stay updated on our upcoming sessions and tutorials.