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Common Interview Questions in R
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Preparing for interviews is an important step in becoming job-ready for data-related roles. Interview questions in R usually focus on basic programming concepts, data manipulation, visualization, and statistical analysis.
Below are some commonly asked R interview questions along with short explanations.
| Question | Explanation |
|---|---|
| What is R and where is it used? | R is a programming language used for statistical analysis, data visualization, and machine learning. |
| What are the main data types in R? | Common data types include numeric, character, logical, and factor. |
| What is a data frame? | A data frame is a two-dimensional data structure used to store tabular data. |
| What is the difference between a vector and a list? | A vector contains elements of the same type, while a list can contain different data types. |
| What is the purpose of the dplyr package? | dplyr is used for data manipulation tasks such as filtering, selecting, grouping, and summarizing data. |
| What is ggplot2 used for? | ggplot2 is used for creating data visualizations based on the Grammar of Graphics. |
| What is the pipe operator %>%? | The pipe operator passes the result of one function into the next function, making code more readable. |
| What is a function in R? | A function is a reusable block of code designed to perform a specific task. |
| What is the difference between mean() and median()? | mean() calculates the average value, while median() returns the middle value in a sorted dataset. |
| What is a factor in R? | A factor is used to represent categorical data. |
Interview preparation should include both conceptual questions and practical coding exercises. Practicing with real datasets and building small projects can greatly improve confidence during interviews.
