Upcoming Tutorial: Analyzing US Census Data in R

Today I am pleased to announce that on May 21 I will run a tutorial titled Analyzing US Census Data in R. While I have spoken at conferences before, this is my first time running a tutorial. My hope is that everyone who participates will learn something interesting about the demographics of the state, county and ZIP code that they are from. Along the way, I hope that people become comfortable doing exploratory data analysis with maps, learn a bit about geography and leave with a better understanding of how US Census data works. Here is the description:

In this tutorial Ari Lamstein will explain how to use R to explore the demographics of US States, Counties and ZIP Codes.  Each person will analyze their home state, county and ZIP code. There will be an emphasis on sharing results with each other. We will use boxplots and choropleth maps to visualize the data.

Time permitting we will also explore historic demographic data, learn more about the data itself, and how to use the Census Bureau’s API.

Attendance is free. If you are interested and can make it to the event, then I hope to see you there!

Note that the current draft of my slides is available on github. After the talk I plan to publish my slides on slideshare, where I have placed slides from my previous talks.


4 thoughts on “Upcoming Tutorial: Analyzing US Census Data in R

  1. 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.”



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