R Programming Question Sheets
Topic-wise R Programming question sheets — 200 questions across 8 topics. Open each sheet online and tick questions as you solve them.
R Basics and Data Types Interview Questions
Start with how R works: atomic types, vectors, coercion, missing values, factors, packages and the RStudio workflow. These fundamentals, along with…
Data Structures in R Interview Questions
R work revolves around vectors, lists, matrices, data frames and tibbles. This topic covers subsetting with [ ], [[ ]] and $, the apply family,…
Data Wrangling with dplyr and tidyr Interview Questions
Most analyst time goes into cleaning and shaping data. Learn the dplyr verbs, joins, window functions, across(), case_when(), pivoting with tidyr,…
Data Visualization with ggplot2 Interview Questions
ggplot2 is the standard for charts in R. This topic covers the grammar of graphics, aesthetics, geoms, facets, scales, themes, annotations, saving…
Statistics and Hypothesis Testing Interview Questions
Statistics is the core reason many teams use R. Revise descriptive statistics, distributions, the Central Limit Theorem, p-values, confidence…
Functions and Functional Programming Interview Questions
Writing clean, reusable R code means mastering functions, control flow, error handling, the purrr map family, closures and debugging. This topic also…
Modelling and Machine Learning in R Interview Questions
Build and evaluate models in R with lm(), glm(), random forests, clustering, regularization and time series forecasting. Learn the tidymodels…
Reports, Shiny and Production R Interview Questions
Analysis only creates value when others can use it. This topic covers R Markdown and Quarto reports, parameterized reporting, Shiny apps and…
Frequently asked questions
What are question sheets?
Topic-wise lists of R Programming interview questions with answers — 200 questions across 8 topics. Tick questions as you solve them; progress is saved in your browser.
Which sheet should I start with?
Start with R Basics and Data Types, then Data Structures in R. Use the role-wise pages to see which topics matter most for the job you want.