Editing Statistics and Statistical Programming (Winter 2021)/Problem set 5 (section)

=== PC1. Import data from a .csv file===

Revisit your problem set code from [[../Problem set 4]] and recall what group number you were in (should be an integer between 1-20). Hopefully it's recorded in your notebook! If not, generate a new one and make sure it's recorded this time!

Navigate to the import the .csv file in the <code>datasets/problem_set_5</code> subdirectory in the class Dropbox folder with your number (e.g., <code>group_<output>.csv</code>). Note that it is a .csv file and you'll need to use an appropriate procedure/commands to import it!

:'''Recommended sub-challenge:''' Inspect the dataset directly before you import. You might download the .csv file and use spreadsheet software (e.g., Google docs, LibreOffice, Excel, etc.) to do this. I often prefer look at the first few lines of a new dataset in a "raw" format via the command line or a text editor (e.g., NotePad) so that I can inspect the structure. This can help you figure out how best to import the data into R and clue you into any immediate data cleanup/tidying steps you'll need to take after import (e.g., do the columns have headers? are numbers/text formatted differently?). I won't ask about this in class, but I do recommend it for reasons I describe in the tutorial.