Name: Working Smarter with {dplyr} 1.2.0
Start: 2026-06-24T18:00:00+01:00
End: 2026-06-24T20:00:00+01:00

Discover how the latest features in **{dplyr} 1.2.0** can help you write cleaner, faster, and more maintainable data transformation workflows. This session explores practical techniques for filtering, joining, summarizing, and reshaping data more efficiently, with real-world examples that demonstrate how to streamline your R code and improve productivity.

Bilikisu Olatunji

Zeenatuddeen Muhammad

Ifeoma Egbogah

Queeneth Onwuka 

R-Ladies Abuja

RLadies+

Provide support to the organizations developing, and using R software

R Consortium

R-Ladies Global

R Consortium provides grants to support the communities

Business Data Laboratory

Technology

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Science

Big Data

Data Science using R

Data Science for Business

Isabella Velásquez is part of the Developer Relations team at Posit PBC, where she works at the intersection of programming, communication, and data analysis to help people get the most out of modern data science tools. She is an active contributor to the R community and a strong advocate for open source, focusing on making data workflows more accessible and enjoyable for practitioners.

Isabella Velásquez