Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix links on page #83

Merged
merged 1 commit into from
Sep 6, 2024
Merged

fix links on page #83

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion vignettes/convert.qmd
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -32,7 +32,7 @@ There are two main ways to import the datasets:

`spod_get()` returns objects that are only appropriate for small datasets representing a few days of the national origin-destination flows. We recommend converting the data into analysis-ready formats (`DuckDB` or `Parquet`) using `spod_convert()` + `spod_connect()`. This will allow you to work with much longer time periods (months and years) on a consumer laptop (with 8-16 GB of memory). See the section below for more details.

# Analysing large datasets {#analysis-large-datasets}
# Analysing large datasets {#analysing-large-datasets}

The mobility datasets available through `{spanishiddata}` are very large. Particularly the origin-destination data, which contains millions of rows. These data sets may not fit into the memory of your computer, especially if you plan to run the analysis over multiple days, weeks, months, or even years.

Expand Down