New Course: “Shapefiles for R Programmers”

Today my new course, Shapefiles for R Programmers, is available for preorder! This course is designed to open up new doors of data analysis for R programmers by teaching them how to work with shapefiles, using both GIS programs and R. Shapefiles are the most common method of storing maps, and learning how to work with them will allow you to analyze regional data in a way that is simply not possible otherwise.

Also, on Wednesday at 9:30am PDT I will be hosting a live webinar where I give away several lessons of the course for free. The webinar will have a live Q&A session at the end. If you are interested but unable to attend, simply register for it and I will send you a link to the recording.

This course centers around a single example: mapping noise complaints in San Francisco. San Francisco is divided into “Supervisor Districts”, and together we will create a choropleth map of this data:

There are several steps involved in creating this map, and I carefully walk you through each one of them. Preordering today gives you immediate access to the lessons that have already been recorded, and first access to new lessons as soon as they are recorded. All lessons will be uploaded by the end of April.

This course emphasizes practical skills. By the end of the course you should be able to do a similar project, on your own, with your own shapefile and data.

Also, if you would like me to personally help you apply the course contents to your own project, you can buy a 1 hour Pair Programming session together with the course.

To learn more click here: Shapefiles for R Programmers.

joe says April 12, 2016

Concerning the choropleth map in our post, you should not represent absolut numbers as colours, it would be better to use relative numbers like “noise reports per inhabitant”, because the Population size certainly varies across districts.

    Ari Lamstein says April 12, 2016

    I think that that’s debatable. For example, if a government agency were deciding how to allocate resources for a certain program, they might be more interested in absolute counts per district rather than a per capita count.

Comments are closed