video1.0<iframe src="https://www.loom.com/embed/3b2eba1198d34e0c9292a33c91958a0b" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/3b2eba1198d34e0c9292a33c91958a0b-00001.gif235.82999999999998In this tutorial, he demonstrates how to represent variables at the district or municipality level using a statistical processor called Arealist, with a focus on working with a single variable and a disclaimer that this method does not apply to crosstabs. He walks through the process, using the example of variable p29c for Bolivia in 2019, illustrating how to split the output at the municipality level and add the municipality names for clarity. He mentions his intention to use this data to create an ethnic map for a Bolivian project, highlighting the need for additional variables for those not identifying as indigenous. He saves the program as "Bolivian Program 5: Bolivian Nations by Municipality" and switches the analysis to variable p29a, including output area names for non-indigenous and non-Bolivian populations. The tutorial concludes with a plan to work with the data in GIS and write a brief article. - He demonstrates representing variables at the municipality level using Arealist. - Emphasizes the importance of working with one variable and not crosstabs. - Intention to create an ethnic map for Bolivia and the consideration of missing variables for non-indigenous populations in question P29C which should be fixed with P29A.