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Premature male mortality (15-49) in Mexican states, 1990-2015

Kashnitsky, I., & Aburto, J. M. (2019). Geofaceting: Alligning small-multiples for regions in a spatially meaningful way. Demographic Research, 41(17), 477--490, https://doi.org/10.4054/DemRes.2019.41.17

Full text of the paper draft is available here.


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To replicate the figures, follow the instructions in "R/master-script.R" and, of course, feel free to explore in depth the chunks of code in "R" directory.

If you have questions regarding the dataviz, feel free to contact me: ilya.kashnitsky@gmail.com. For quiestions on the Mexican data, contact Jose Manuel: jmaburto@health.sdu.dk.

Follow us on Twitter: @ikashnitsky, @jm_aburto.


Poster presented at PAA 2019

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Click for higher resolution image or get PDF here


REPLICATION. HOW TO

  1. Fork this repository.
  2. Using RStudio open "demres-geofacet.Rproj" file in the main project directory.
  3. Run the "R/master_script.R" file. Wait. That's it. The results are stored in the sub-directory "figures".

LOGIC OF THE PROCESS

The whole process is split into three parts, which is reflected in the structure of R scripts. First, the steps required for reproducibility are taken. Second, all data manipulation steps are performed. Finally, the figures are built. The names of the scripts are quite indicative, and each script is reasonably commented.

SEE ALSO

ACKNOWLEDGEMENT

The initial version of the data visualization presented in this paper was originally developed by Ilya Kashnitsky in team work with Michael Boissonneault, Jorge Cimentada, Juan Galeano, Corina Huisman, and Nikola Sander during the dataviz challenge at Rostock Retreat Visualization event in June 2017. IK thanks his team members for the unique experience of super productive brainstorming and enthusiastic teamwork. The creative dataviz challenge was developed by Tim Riffe and Sebastian Klüsener, the organizers of Rostock Retreat Visualization.