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...

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