Department of Statistics, Ghazi University

20/09/2026

Descriptive Statistics in R: Bridging Raw Data and Real-World Insights

This guide (Descriptive Statistics in R Language) breaks down the practical application of central tendency, variability, and distribution shape using the R

15/08/2026

This MCQs quiz covers Matplotlib, Seaborn, Folium, charts, histograms, bar charts, waffle charts, interactive maps, markers, GeoJSON, and choropleth maps

Test your knowledge of Python Data Visualization MCQs with this comprehensive Quiz covering Matplotlib, Seaborn, Folium, histograms, area plots, bar charts,

02/08/2026

In R programming, a matrix is a two-dimensional rectangular data structure where all elements are of the same atomic data type. R Matrices are widely used in data analysis, statistics, linear algebra, machine learning

In R programming, a matrix is a two-dimensional (2D) rectangular data structure where all elements are of the same atomic data type. R Matrices are widely

12/07/2026

Whether you are diving into data science or just starting with R programming, automation is the best friend. Instead of writing the same line of code over and over again, we use loops to do the heavy lifting

In this tutorial, you will learn how loops in R work, how to use accumulator variables, and how to master nested loops in R for multi-dimensional data.a

06/07/2026

The Poisson distribution is a discrete probability distribution that is used to model the number of times an event occurs within a fixed interval of time or space.

In this post, we will learn about the Poisson Distribution in R. The Poisson distribution is a discrete probability distribution that is used to model the

14/06/2026

07/06/2026

In this tutorial, we will learn about simulating linear regression in R. Simulating data is one of the best ways for data scientists and statisticians to understand how models behave under controlled conditions.

In this tutorial, we will learn about simulating linear regression in R. Simulating data is one of the best ways for data scientists and statisticians to

28/05/2026

Test your technical expertise with our comprehensive quiz covering Base R functions, statistical modeling, and Git workflows. Perfect for data scientists and developers looking to sharpen their skills in R, GitHub Actions, and DevOps essentials

Test your technical expertise with our comprehensive quiz covering Base R functions, statistical modeling, and Git workflows. This R Programming and GitHub

21/05/2026

Learn how to slice data frames in R with easy-to-follow examples. This "Slicing Data Frame in R" guide covers row slicing, column slicing, conditional slicing, and the dplyr approach: perfect for beginners and data analysts alike.

Learn how to slice data frames in R with easy-to-follow examples. This "Slicing Data Frame in R" guide covers row slicing, column slicing, conditional

02/05/2026

The post is about the computation of the Five Number Summary in R. Using the mtcars dataset already available in R, we will master summary functions, five-number summary statistics, and data exploration in R.
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The post is about the computation of the Five Number Summary in R. Using the mtcars dataset already available in R, we will master summary functions,