Data in R can be stored in several different ways, and choosing the right data structure is an important part of writing efficient and organized code. Whether you are working with a simple collection of numbers or a complete dataset, R provides specialized data structures designed for different tasks. In this post, we’ll explore the […]
Data Structures in R: Vectors, Matrices, Factors, Lists, and Data Frames Read More »
Every data analysis project begins with a simple question: what does the data look like? To answer that, we typically start with descriptive statistics – such as mean, median, standard deviation, and variance – to gain an initial overview of the dataset. If you are using RStudio, these summary statistics can be quickly generated using
How to Summarize Data in RStudio Read More »
Routine data analysis tasks in RStudio, such as cleaning, filtering, or summarizing data, are typically performed with an automated code that can evaluate logical conditions and repeat certain actions. In this post, we’ll take a closer look at how logical conditions (e.g. if, else, and else if), and loop statements (e.g. for, while, and until)
Loops and Conditional Statements in R Read More »
