SKILL BENCHMARK
Exploratory Data Analysis in R Competency (Intermediate Level)
- 23m
- 23 questions
The Exploratory Data Analysis in R Competency benchmark measures whether a learner has had exposure and experience in performing exploratory data analysis in R. A learner who scores high on this benchmark demonstrates knowledge and experience in getting the data in various formats, understanding the data, and exploring and visualizing the data in R for data analysis.
Topics covered
- apply a summary function using dplyr
- combine two related datasets using a join operation
- create a bar chart
- create a box and whisker plot
- create a bubble plot
- create a histogram
- create a line graph
- create a scatter plot
- create new columns using the mutate method
- fetch a JSON document over HTTP and load it using dplyr
- filter tabular data using dplyr
- load multiple sheets from an Excel document
- perform multiple operations using the pipe operator
- read data from a CSV formatted text file
- read data from an Excel spreadsheet
- read data from a relational database using a SQL query
- select subsets of data using dplyr
- summarize data using summary functions
- use a regular expression to extract data into a new column
- use mean imputation to replace missing values
- use the dplyr join functions to combine data
- use the dplyr library to load data frames
- use the group_by method from the dplyr library