Introduction to R for Data Analytics
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Questions and Answers

What is R?

  • A paid programming language for statistical computing and graphics
  • A closed source programming language for statistical computing and graphics
  • A limited programming language for statistical computing and graphics
  • A free and open source programming language for statistical computing and graphics (correct)

    • How many packages are currently available in R?

  • Over 5000 packages
  • Over 8000 packages
  • Over 15000 packages
  • Over 12000 packages (correct)

    • What type of data is described as strictly numeric and can be measured?

  • Qualitative (Categorical) data
  • Observed and not measured data
  • Descriptive data
  • Quantitative (Numeric) data (correct)

    • What does a numerical summary provide an overview of?

    <p>$It provides an overview of quantitative data$</p> Signup and view all the answers

    Why is R built?

    <p>$To handle and analyze data$</p> Signup and view all the answers

    What is R primarily used for?

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

    How many packages are currently available in R?

    <p>Over 12000</p> Signup and view all the answers

    What type of data is strictly numeric and can be measured?

    <p>Quantitative</p> Signup and view all the answers

    What does a numerical summary provide an overview of?

    <p>Data without examining all values</p> Signup and view all the answers

    Which companies use R for statistical analysis?

    <p>$ ext{Microsoft}$, $ ext{Google}$, $ ext{Facebook}$</p> Signup and view all the answers

    What is the primary use of R?

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

    How many packages are currently available in R?

    <p>Over 12000</p> Signup and view all the answers

    What types of data are considered qualitative (categorical)?

    <p>Descriptions or groups, observed and not measured</p> Signup and view all the answers

    What does a numerical summary provide an overview of?

    <p>Data to help understand it without examining all data values</p> Signup and view all the answers

    Why is R built?

    <p>To handle and analyze data</p> Signup and view all the answers

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