Working in a spreadsheet can be messy and cluttered. Especially if you have a very large data set and need to perform many operations. You have to document every step to be able to repeat your analyses later (for verification or with new data). Fortunately, there's R. With a few simple lines of code, you can do the same things in R as you would in a spreadsheet: scrape, cleanup, sort, filter, group (pivot tables), create statistics and graphs, but now in an uncluttered workflow that can be easily modified, repeated and shared. Experience why R (freeware) has quickly captured the hearts of many data journalists. A comprehensive workbook with sample scripts and exercises accompanies the course. (Some experience with spreadsheets is recommended for this course, but not required).
Details
You will learn to:
• Get R and Posit Studio (formerly R Studio) up and running
• Explore the panes and tabsUse scripts and notebooks
• Install and load packages
• Import datasets into R
• Explore the data in R
• Apply the basic Tidyverse functions (‘verbs’)
• Exporting datasets from R to Excel or CSV
• Join datasets in R
• Scrape data with R
• ‘Interview’ data in R
• Create charts in R
• Clean data with R
Calendar & Registration
