R Programming for Data Analysis and Science
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Questions and Answers

In which industries is R commonly used for data analysis and visualization?

  • Finance, marketing, healthcare, and retail (correct)
  • Gaming, entertainment, and tourism
  • Agriculture, forestry, and fisheries
  • Manufacturing, logistics, and sports

What is one of the main benefits of R's integration into business intelligence platforms?

  • Improved decision-making and reporting (correct)
  • Reduced data security
  • Increased software cost
  • Simplified data storage

What is a characteristic of R's open-source community?

  • Limited user base
  • Thousands of proprietary packages
  • Thousands of packages contributed by users worldwide (correct)
  • Centralized package management

Why is R widely used in educational settings?

<p>For teaching statistics, data analysis, and programming (B)</p> Signup and view all the answers

What is one of R's strengths in data visualization?

<p>Ability to create a wide variety of plots and charts (A)</p> Signup and view all the answers

What is a key application of R in data science?

<p>Predictive modeling, clustering, classification, and text mining (D)</p> Signup and view all the answers

What is the primary use of R programming language and software environment?

<p>Statistical computing and graphics (C)</p> Signup and view all the answers

What was the primary driver of the development of R language?

<p>Need for a flexible and extensible tool for statistical computing and graphics (C)</p> Signup and view all the answers

Where did the development of R language originate?

<p>University of Auckland, New Zealand (A)</p> Signup and view all the answers

What was the influence on the development of R language?

<p>S programming language (B)</p> Signup and view all the answers

What is one of the industries where R is now widely used?

<p>All of the above (D)</p> Signup and view all the answers

What is the status of R language?

<p>Open-source project (C)</p> Signup and view all the answers

What is a key factor contributing to the widespread adoption of R?

<p>Its open-source nature (B)</p> Signup and view all the answers

Which of the following tasks is NOT a use case of R?

<p>Network security analysis (C)</p> Signup and view all the answers

What is a characteristic of R that makes it well-suited for data visualization?

<p>Its powerful graphical capabilities for creating a wide range of plots and charts (B)</p> Signup and view all the answers

Which of the following packages is commonly used for machine learning tasks in R?

<p>caret (B)</p> Signup and view all the answers

What is a benefit of using R for statistical analysis?

<p>It provides a vast array of statistical functions (B)</p> Signup and view all the answers

What is a common use case of R in data visualization?

<p>Creating interactive visualizations (B)</p> Signup and view all the answers

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