Wrangle, Transform, Analyse: Your Path to Mastering dplyr in R

🎥 *This video recording captures the UNILORIN R USER GROUP event held on Saturday, August 30, 2025.*

📌 For full event details and future sessions, visit our meetup page: https://www.meetup.com/unilorin-r-users-group

This recorded hands-on workshop focuses on mastering data wrangling and transformation in R using the *dplyr* package. Ideal for beginners and working analysts, you will see live coding that shows how to clean data, create features, summarise results, join tables, and build tidy, readable pipelines that scale.

👩‍🏫 *Speaker:* Babatunde Adebayo, https://www.linkedin.com/in/adebayo-babatunde/

🔍 What You’ll Learn:

*Getting Started with dplyr*
Install and load the tidyverse, understand the grammar of data manipulation, and know when to use dplyr.

*Core Verbs and the Pipe*
Use select(), filter(), arrange(), mutate(), summarise(), and group_by() to build clear, step-by-step workflows.

*Grouped Summaries and Feature Engineering*
Create grouped metrics with summarise(), apply across(), and engineer features with case_when(), if_else(), lag() and lead().

*Joins and Relational Data*
Combine datasets using left_join(), inner_join(), right_join(), full_join(), and avoid common pitfalls with duplicate keys.

*Efficient, Reproducible Workflows*
Chain tasks into readable pipelines, add comments and simple checks, and export clean results for analysis and reporting.

📚 *Resources used in the event:*

Visit the GitHub Repo: https://bit.ly/meetup-with-babatunde

This interactive, beginner-friendly event is part of our ongoing series to support the R community in Nigeria and beyond.

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