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R Programming for Data Analysis and Science

18 Questions

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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?

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

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

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

What is a key application of R in data science?

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

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

Statistical computing and graphics (C) Signup and view all the answers

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

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

Where did the development of R language originate?

University of Auckland, New Zealand (A) Signup and view all the answers

What was the influence on the development of R language?

S programming language (B) Signup and view all the answers

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

All of the above (D) Signup and view all the answers

What is the status of R language?

Open-source project (C) Signup and view all the answers

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

Its open-source nature (B) Signup and view all the answers

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

Network security analysis (C) Signup and view all the answers

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

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

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

caret (B) Signup and view all the answers

What is a benefit of using R for statistical analysis?

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

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

Creating interactive visualizations (B) Signup and view all the answers