In order to use GitHub as a board, you should first authenticate. If you are familiar with GitHub and is already part of your workflow, is likely that you’ll have a
GITHUB_PAT environment variable already configured. You can check if GitHub is already configured by running:
If the above statement is
TRUE, this means GitHub is already configured, which means you can register an existing GitHub board as follows. However, when using a new repo, first manually create an empty repo from github.com/new.
Usually, you will want to set
owner to be your GitHub username or an organization name you belong to, learn more About Repositories in the GitHub docs.
Alternatively, you can create a GitHub token at github.com/settings/tokens/new with the required permissions to access your repo. For public repos, you only need the
Once the token is created, you can register your GitHub board through:
This completes the board registration process, you can now focus on using and sharing pins in GitHub.
Let’s start by creating to pins for
mtcars under the GitHub board,
Notice then the structure in the GitHub repo. Similar to the folder structure in the local board, a folder is created for each pin and a
data.txt index added to the repo.
You can also retrieve pins back from this repo using the now familiar
# A tibble: 150 x 5 Sepal.Length Sepal.Width Petal.Length Petal.Width Species <dbl> <dbl> <dbl> <dbl> <fct> 1 5.1 3.5 1.4 0.2 setosa 2 4.9 3 1.4 0.2 setosa 3 4.7 3.2 1.3 0.2 setosa 4 4.6 3.1 1.5 0.2 setosa 5 5 3.6 1.4 0.2 setosa 6 5.4 3.9 1.7 0.4 setosa 7 4.6 3.4 1.4 0.3 setosa 8 5 3.4 1.5 0.2 setosa 9 4.4 2.9 1.4 0.2 setosa 10 4.9 3.1 1.5 0.1 setosa # … with 140 more rows
You can then search pins in your repo using
pin_find(), which by default search all boards but you can also explicitly request to use this particular GitHub board:
# A tibble: 1 x 4 name description type board <chr> <chr> <chr> <chr> 1 mtcars The motor trend cars data set table github
GitHub boards contain extended fields that go beyond the fields
pins requires, to retrieve all the additional fields use
extended = TRUE:
# A tibble: 2 x 7 name description type path rows cols board <chr> <chr> <chr> <chr> <int> <int> <chr> 1 iris The iris data set table iris 150 5 github 2 mtcars The motor trend cars data set table mtcars 32 11 github
pin_info() to retrieve all the information associated with a particular pin,
# Source: github<mtcars> [table] # Description: The motor trend cars data set # Extended: # - path: data.csv, data.rds # - rows: 32 # - cols: 11 # - columns: # - mpg: numeric # - cyl: numeric # - disp: numeric # - hp: numeric # - drat: numeric # - wt: numeric # - qsec: numeric # - vs: numeric # - am: numeric # - gear: numeric # - carb: numeric
Notice that the given ‘motor’ search keyword is searched in the name and description fields for the pins available in this repo.