6 comments
Lamstein, congratulations for the course.
It is really interesting and important. I would sugest an Open Online Course, so we could follow remotely.
Bestregard
Thank you Felipe! Do you know how to set up an Open Online Course? I have never done that before. This is my first tutorial, so I am just playing it by ear.
By the way, the materials for my tutorial are available here: https://github.com/arilamstein/r-census-tutorial-2015-05. Note that I am still working on them. After the talk, I am planning on distributing my slides online.
Hi, Lamstein.
Unfortunately I don’t know the procedures to set up an Open Online Course.
But, you could think about using tools such Google Hang Out on Air (or any other similar), so people could follow the lecture by internet (with a small delay) and after that, the video stays in your YouTube channel (if you want )
And thanks for sharing your materials!
Regards
Hi Ari,
I will definitely check out the presentation materials. I just used census data (American Community Survey) on population and median income by California county to combine it with solar installations in California to try to understand what factors drive solar growth. It was really tedious getting the data I wanted from the census web page, perhaps your information will make my life easier next time! If you are interested check out what I’m working on http://www.beyondmaxwell.com
John,
I just checked out your project and it does seem very interesting. I think that you will find functions like ?county_choropleth in the choroplethr package can make producing maps like those in your blog post much easier.
Also, the data frame “?df_county_demographics” can provide the demographic statistics that you use ready-made. Also, if you wanted to look at historical data, check out “?get_county_demographics.”
Ari
For those who were not able to make the meetup in person, note that I have just launched an email course that covers much of the same material. You can learn more here: https://arilamstein.com/blog/2015/06/25/learn-to-map-census-data-in-r/