Data Analysis with R Literacy

  • 15m
  • 15 questions
The Data Analysis with R Literacy benchmark will measure your ability to recall and relate to the underlying concepts and terminologies of performing data analysis using R. You will be evaluated on your ability to recognize the foundational concepts of R programming, R programming structures, data analysis libraries in R, and working with data sets in R. A learner who scores high on this benchmark demonstrates that they have basic data analysis skills in R.

Topics covered

  • combine two data frames using the rbind() and cbind() functions
  • create arrays and store multi-dimensional data in them
  • create data frames to store data as indexed rows and columns
  • delete and rename columns in an R data frame
  • demonstrate and visualize built-in R datasets
  • examine how to fit a straight line on data to build a regression model and evaluate the model
  • generate vectors using the c() and vector() functions
  • identify and visualize the relationships in data
  • invoke the help() function and create and use variables
  • perform arithmetic operations using operators such as + and -
  • perform indexing, slicing, and dicing operations with vectors
  • recall how for loops can be used to iterate over a vector of values
  • run commands on the RStudio console
  • sample and analyze data which follows binomial distribution
  • use matrices to store 2-dimensional data and index into them