Recognize the unique demands of data-rich pipelines about ds-pipelines-3 HOT 2 CLOSED

Great, here we go! You'll be revising files in this repository shortly. To follow a process similar to our team's standard git workflow, you should first clone this training repository to your local machine so that you can make file changes and commits there.

⌨️ Activity: Set up your local repository

Open a git bash shell (Windows) or a terminal window (Mac) and change (cd) into the directory you work in for projects in R (for me, this is ~/Documents/Code). There, clone the repository and set your working directory to the new project folder that was created:

git clone [email protected]:wdwatkins/ds-pipelines-3.git
cd ds-pipelines-3

⌨️ Activity: Install packages as needed

You may need to install some of the packages for this course if you don't have them already. These are:

• scipiper
• remake
• tidyverse
• dataRetrieval
• urbnmapr
• rnaturalearth
• cowplot
• leaflet
• leafpop
• htmlwidgets

If you don't already have remake and scipiper installed, refer to the documentation here to install those packages.

Install urbnmapr with remotes::install_github('UrbanInstitute/urbnmapr').

All the rest should be installable with install.packages().

⌨️ Activity: Invite some collaborators

Alison (aappling-usgs) and/or Jordan (jread-usgs) will be providing code reviews during your course. To make it possible for you to request reviews from them, go to the Settings tab, Manage access subtab, and then click the green button to Invite a collaborator to add each of their usernames to your repo.

When you're set up locally, close this issue.

from ds-pipelines-3.

Task accomplished! Head back to the Issues page for your next assignment.

from ds-pipelines-3.