4 ms·
I agree. Data being placed on a map often has a hierarchical element (country, state/province, county/district, town/city, etc) and many of the data standards
by jrumbut 4y ago
I agree.
Data being placed on a map often has a hierarchical element (country, state/province, county/district, town/city, etc) and many of the data standards allow nesting such as GeoJSON.
While R can handle hierarchical data, it does much better with rectangular data sets.
- pupperino 4y agoNowadays, there's lots of tooling around for nested data, like roomba [1] or the list-column workflow enabled by purrr and dplyr [2]. [1] https://github.com/cstawitz/roomba https://github.com/cstawitz/roomba [2] https://r4ds.had.co.nz/many-models.html#nested-data https://r4ds.had.co.nz/many-models.html#nested-data