R – Easy Data Does It

Coding Something Tricky? Try Excel, No Really.

February 6, 2024 Brian Seko

In the realm of data science, where Python and R reign supreme, it might seem counterintuitive to bring Excel into the equation. However, Excel, a tool often associated with traditional business analysis, can serve as a powerful ally in the initial stages of algorithm development. This blog post explores the benefits of using Excel to work out pseudo code before transitioning to more sophisticated programming environments. Excel: A Visual and Interactive Sandbox Excel’s grid layout provides a natural environment for…

How to Choose Between pivot_longer and gather in R

December 19, 2023 Brian Seko

When it comes to reshaping data in R, there are often multiple ways to achieve the same result. One common task in data manipulation is converting wide data into long data, and two popular functions for this purpose are pivot_longer and gather. Both functions serve the same fundamental purpose, but they belong to different versions of the tidyr package in R. In this article, we’ll explore these two functions and discuss reasons for choosing one over the other. Understanding the…

R Vs Python: The Ultimate Showdown

August 31, 2023 Brian Seko

When it comes to Data Analysis, both R and Python have become staples in the data science toolbox. But which one should you reach for when you’re about to dive into your next dataset? Let’s break it down. R: The OG of Data Analysis Pros: Cons: Python: The Jack of All Trades Pros: Cons: The Showdown: EDA Visualizations R’s ggplot2 is arguably more intuitive and offers a lot of customization. Python’s matplotlib and seaborn are powerful but require more effort…