R Interview Questions to Prepare For

A popular open-source programming language for statistical computing & data analysis, widely utilized in fields like finance, medicine, & marketing.

[{"selector":"#anim-3fbcb7f7-ede8-4831-9c41-a540e7d30a24","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-01415d9b-9821-4a3e-89e8-4df156dc038a","keyframes":{"transform":["translate3d(-108.16901%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Click here

1. Offere statistical analysis & data visualization capabilities. 2. Opens doors to lucrative job prospects & higher salaries. 3. Boost productivity & accelerate insights.

[{"selector":"#anim-1437c1d7-5d8d-46a5-9022-cac19c9986ff","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-e3a771ca-b1b4-4c36-97a6-a4706a49145a","keyframes":{"transform":["translate3d(-108.16901%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Click here

1. How can you import & export data in R? 2. Write a function in R to calculate covariance b/w two given vectors of numeric data.

[{"selector":"#anim-a545471f-2b0f-4c78-a586-3e058396b7e7","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-e2255e9d-02c4-4e09-9027-5494339f5e8c","keyframes":{"transform":["translate3d(-108.12324%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Click here

3. Explain the concept of regular expressions in R and how to use them. 4. What is Shiny in R and how to use it for web development?

[{"selector":"#anim-df7a7eee-baa8-4dcd-a9f1-6d396dab9764","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-df56134e-8c06-4a64-9509-04db1e3e110c","keyframes":{"transform":["translate3d(-108.12324%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Click here

5. Write a function in R to calculate the standard deviation of a given vector of numbers. 6. How can you perform basic statistical analysis in R?

[{"selector":"#anim-b8c75974-2043-4ad5-9c7b-1a0c72b4486b","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-72163660-e639-413b-9190-fe1e48a0444d","keyframes":{"transform":["translate3d(-108.12324%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Click here

1. Explain the concept of parallel processing in R & how to use it. 2. What are the different R packages for data cleaning and preprocessing?

[{"selector":"#anim-87a540e2-612c-4d2c-8ef6-b1eea0945515","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-bf274ec4-8c13-4595-8acd-893216ba79db","keyframes":{"transform":["translate3d(-108.12324%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Click here

3. What are the different R packages for data mining and machine learning? 4. Explain parallel computing in R and how to use it.

[{"selector":"#anim-738cfc08-2962-4a75-b774-44f3f8910b6e","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-336a7fc9-9fa8-4ad0-ada3-0dc3d253bf97","keyframes":{"transform":["translate3d(-108.12324%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Click here

5. Write a function in R to create a boxplot of a given vector of numeric data. 6. Write a function in R to perform logistic regression on a given data frame.

[{"selector":"#anim-02602f91-fe45-4510-9429-97729586b999","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-ff18151e-a34d-436b-8896-50698c3d672f","keyframes":{"transform":["translate3d(-108.12324%, 0px, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Click here

Ready to take the next step in your career?

[{"selector":"#anim-c1394585-9e51-452b-bca1-1182a2565b02","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-8f9b962b-1473-48ae-bbd9-c3182b0ea1dd","keyframes":{"transform":["translate3d(0px, -357.86324%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-693ecb84-f59a-4e7e-a32d-5b87630297d7","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-a15f6e75-0760-4125-a49f-baa43b047318","keyframes":{"transform":["translate3d(0px, -557.49721%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Click here

“

[{"selector":"#anim-8a6fcc8d-1114-4ac0-84e0-826bd8507568","keyframes":{"opacity":[0,1]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-09b047e2-1867-48a3-bd30-683d68a83416","keyframes":{"transform":["translate3d(0px, -256.40435%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":1000,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-65ad13a0-c9d5-44c7-9675-ae19a203f960","keyframes":{"opacity":[0,1]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] [{"selector":"#anim-837bb815-73cf-4427-9122-301262b74c27","keyframes":{"transform":["translate3d(0px, -297.51158%, 0)","translate3d(0px, 0px, 0)"]},"delay":0,"duration":600,"easing":"cubic-bezier(0.2, 0.6, 0.0, 1)","fill":"both"}] Elevate your R Programming Skills with Scaler! SWIPE UP

R Interview Questions to Prepare For

Top

A popular open-source programming language for statistical computing & data analysis, widely utilized in fields like finance, medicine, & marketing.

Introduction to R Programming Language

1. Offere statistical analysis & data visualization capabilities. 2. Opens doors to lucrative job prospects & higher salaries. 3. Boost productivity & accelerate insights.

Why learn R Programming Language?

1. How can you import & export data in R? 2. Write a function in R to calculate covariance b/w two given vectors of numeric data.

R Interview Questions for Freshers

3. Explain the concept of regular expressions in R and how to use them. 4. What is Shiny in R and how to use it for web development?

5. Write a function in R to calculate the standard deviation of a given vector of numbers. 6. How can you perform basic statistical analysis in R?

1. Explain the concept of parallel processing in R & how to use it. 2. What are the different R packages for data cleaning and preprocessing?

R Interview Questions for Experienced

3. What are the different R packages for data mining and machine learning? 4. Explain parallel computing in R and how to use it.

5. Write a function in R to create a boxplot of a given vector of numeric data. 6. Write a function in R to perform logistic regression on a given data frame.

Ready to take the next step in your career?

This comprehensive guide will help you prepare for all aspects of the interview process. Don't miss out on your next opportunity!

“

Sign up for Scaler's free masterclasses and events to learn about the latest trends in the IT industry and become a pro. Don't hesitate any longer, register today!