4 Tips to Learn More About ACS Data by Ari Lamstein.
From the post:
One of the highlights of my recent east coast trip was meeting Ezra Haber Glenn, the author of the acs package in R. The acs package is my primary tool for accessing census data in R, and I was grateful to spend time with its author. My goal was to learn how to “take the next step” in working with the census bureau’s American Community Survey (ACS) dataset. I learned quite a bit during our meeting, and I hope to share what I learned over the coming weeks on my blog.
Today I’ll share 4 tips to help you get started in learning more. Before doing that, though, here is some interesting trivia: did you know that the ACS impacts how over $400 billion is allocated each year?
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If the $400 billion got your attention, follow the tips in Ari’s post first, look for more posts in that series second, then visit the American Community Survey (ACS) website.
For comparison purposes, keep in mind that Forbes projects the Big Data Analytics market in 2015 to be a paltry $125 Billion.
The ACS data market is over 3 times larger ($400 Billion (ACS) versus $125 Billion (BigData) for 2015.
Suddenly, ACS data and R look quite attractive.