Posts

Learn how to work with quantitative data in this beginner's guide. Part 2 covers the essential measures of central tendency (mean, median, mode) using R. Discover how to calculate and interpret these statistics, handle missing values, and compare results by different groups. Improve your data analysis skills and stay tuned for the next post on basic data visualization.

New to working with quantitative data? Don't worry, we've got you covered! In this blog post series, we provide a basic guide to help you navigate through the world of statistical analysis using R. Part 1 focuses on installing R and RStudio, importing data, and inspecting tables. Join us on this journey to enhance your statistical analysis skills!

Exploring Iterative Control Flow: Comparing R and Python’s Loop Structures. Discover the syntax differences between these languages and delve into the power of for and while loops. From iterating through lists to handling conditions, learn how to optimize your code and enhance your programming skills.

Understanding Conditional Flow Control in R and Python: A Closer Look. Explore how R and Python handle conditions with if, if…else, and elif statements. Dive into the syntax of these popular programming languages in our blog post!

Discover the basic operators in R and Python! Uncover the similarities and differences between these powerful programming languages. From arithmetic operations to assignment and relational operators, we’ll guide you through the essentials.

We’re starting a new year, and reviews are popping up everywhere. In my case, 2022 was a busy year in many ways, both good and bad, and I’m not a big fan of reviews.

Contribución a #TidyTuesday semana 24

Discover the journey of becoming a certified Carpentries Instructor, as the author shares their experience with The Carpentries organization and its focus on teaching programming and data management skills. Explore the certification process and the emphasis on teaching methodology and community engagement.

Today I finished Chapter 4 of the book Text Mining with R by Julia Silge and David Robinson. Since my goal is to serve as practice, I not only include the code but also the comments and the theoretical proposal.

This year-end was quite busy, between organizing the VI Meeting of Researchers in Development, Learning and Education and writing two! papers. And without even considering the pandemic. I had been wanting to do something for #TidyTuesday, but the latest proposals didn’t motivate me much.