shibu99 When starting with R, one concept shapes everything you will learn: R treats every entity—numbers, data frames, models, functions—as an object. This principle forms the backbone of R’s programming structure. Understanding it early makes your learning smoother, helps you debug confidently, and allows you to work with complex data operations easily. Think of R as … Read more
R Data Types and Data Structures Understanding how data is stored, organized, and manipulated is the foundation of every programming language—especially when working in data science. R, being a powerful statistical computing language, provides a rich system of data types and data structures that allow you to store anything from simple values to complex datasets. … Read more
Keyword Simple Definition Example Programming Language A programming language is a way to give instructions to a computer, just like we give instructions to students in class. Just like English is used to teach subjects, R is used to teach computers how to analyze data. R Programming R is a programming language specially made for … Read more
The easiest way to get ggplot2 is to install the whole tidyverse and also learn how to Install gglot2 and tidyverse: Alternatively, install just ggplot2: install.packages(“ggplot2”) To check package installed or not
ggplot2 Package for High-Quality Graphics in R Focus on QualityThis package is renowned for its ability to produce high-quality graphics in R, ensuring that your data visualizations are both informative and visually appealing.
R vs Python for Data Science: Which One Should You Learn? Choosing between R vs Python for Data Science is one of the most common questions among beginners as well as working professionals. Both languages are powerful and widely used, but they serve slightly different purposes. Understanding their strengths will help you make the right … Read more
What is data wrangling?Data wrangling is the process of transforming raw data or unstructured data into a more usable form. In other words, it is the art of turning data into a useful form for visualisation and analysis. There are four important steps in data wrangling: 1. Discovery: Getting to know your raw data. You … Read more
Installing R and RStudio is the first practical step toward learning R programming. R can be downloaded from the CRAN website. After installing R, the next step is to install RStudio, an integrated development environment that simplifies coding and analysis. Step 1: Install R (The Core Language) You must install the R programming language before … Read more
R programming offers several features that make it unique and powerful. One major feature is vectorized computation, which allows operations on entire datasets without explicit loops. R supports a wide range of statistical techniques, including regression, classification, clustering, and time‑series analysis. Another advantage of R is its visualization capability. R can produce publication‑quality graphs, charts, … Read more
R is widely used for data science and statistics because it was designed specifically for these purposes. Unlike general programming languages, R includes built‑in functions for statistical analysis, probability distributions, and hypothesis testing. One key reason to use R is its strong package ecosystem. Packages such as dplyr simplify data manipulation, ggplot2 enables advanced visualization, … Read more
