tools for data science coursera week 5 quiz answers Practice Quiz - RStudio 1. Where can you type R commands in RStudio? Answers Code editorFilesHistoryConsole 2. Which R library will you use for data visualizations such as histograms, bar charts, and scatterplots? Select all that apply. Answers ggplotLatticeLeafletPlotly 3. Which is the command used to install packages in R? Answers install.packages()installpackages()library(packages) Practice Quiz - GitHub 4. Which term describes the folders set up for version control? Answers SSH protocolPull requestRepositoryFork 5. Which tab in your Repository enables a review of changes made before being merged into the main branch? Answers IssuesProjectsPull requestsCode 6. Which command is used to clone an existing repository? Answers git initgit resetgit addgit status Graded Quiz - RStudio & GitHub 7. Which of the following is True about R language ? Answers R supports importing of data from different sources like flat files, databases R is used for statistical inference and does not support visualizationR functions require lots of coding compared to other Data science toolsR requires installation of additional libraries to handle data analysis 8. Which R library is used for machine learning? Answers dplyrggplotcaret stringr Shuffle Q/A 1 9. Which function in ggplot adds a title to the plot? Answers libraryggplotgeom pointggtitle 10. Which function is used to specify appropriate names for both axes in a plot? Answers ggplotlibrarygeom pointxlab and ylab Next Share the love Share this content Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window Opens in a new window You Might Also Like Week 2 – Social Media Content Week 2 – Network monitoring and analysis – Shuffle Q/A 1 Week 2 – Introduction to HTML and CSS – Shuffle Q/A 1 Leave a Reply Cancel replyCommentEnter your name or username to comment Enter your email address to comment Enter your website URL (optional) Save my name, email, and website in this browser for the next time I comment.