41. What is the purpose of the rvest package in R? A. Web scraping and data extraction B. Natural language processing (NLP) C. Creating and modifying network graphs D. Machine learning model training and evaluation Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
42. In R, what is the primary functionality of the shinydashboard package? A. Building interactive dashboards for data visualization B. Creating statistical models C. Customizing the appearance of ggplot2 plots D. Web scraping and data extraction Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
43. What does the bigrquery package in R allow you to do? A. Interact with Google BigQuery for handling large datasets B. Conduct Bayesian analysis of hierarchical models C. Facilitate spatial data analysis D. Efficiently read and write data frames Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
44. In R, which package provides tools for working with statistical models and conducting hypothesis tests? A. infer B. stats C. hypothesis D. hypotest Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
45. What is the role of the shinytest package in R Shiny applications? A. Automated testing of Shiny applications B. Web scraping and data extraction C. Time series analysis and forecasting D. Creating and modifying network graphs Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
46. In R, what is the purpose of the drake package? A. Workflow management and reproducibility B. Natural language processing (NLP) C. Creating and modifying choropleth maps D. Statistical modeling Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
47. What does the shinyjs package in R allow you to do? A. Add interactivity to Shiny applications B. Create and manipulate JavaScript objects C. Visualize genomic and genetic data D. Perform statistical hypothesis tests Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
48. In R, which package is commonly used for working with hierarchical and mixed-effects models? A. nlme B. lme4 C. mixedmodels D. hierarchicalR Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
49. What is the primary use of the keras package in R? A. Deep learning and neural networks B. Time series analysis and forecasting C. Efficiently reading and writing data frames D. Creating interactive dashboards for data visualization Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
50. In R, which package provides functions for working with large spatial datasets and spatial statistics? A. sf B. spatialstats C. geospatialR D. spatialR Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
