American Community Survey analyzed with R

[This article was first published on Revolutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The American Community Survey, conducted by the US Census Bureau, collects data from around 3.5 million households each year in order to estimate various demographic statistics of the US population, including appliances installed in the home, languages spoken, work experience and much more (here's the complete data dictionary). The data science competition platform Kaggle recently introduced a library of hosted datasets, and the American Community Survey is one of the data sets available.

Kaggle users can also publish scripts (in R, Python, or Julia) to analyze the data sets and link the analysis to the datasets. For example, Kaggle user “A.M.A.” used R to look at the educational attainment and income data from the ACS to decide whether it's work pursuing a PhD.


As it turns out, there's a surprisingly distinct jump in income range for educational level attained from Bachelors to Masters and Doctorate. (The horizonal axis is in units of $10,000.) You can find more analyses of the data by Kaggle users at the link below.

Kaggle datasets: 2013 American Community Survey 


To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)