One of my professors in college used to say, “statisticians don’t argue, they collect data.” In the world we are living in today, this statement is not only true for statisticians but everyone. Almost every field and industry alike make use of data to make informed decisions.
I earned a bachelor’s degree in mathematics and actuarial science in 2008, and a master’s degree in statistics in 2010 from the University of Nebraska in Lincoln. I have been a statistician with the United States Department of Agriculture since. R was introduced to me in the summer of 2008 during an internship at a marketing firm. Before that, I used SAS and Excel. I still use SAS heavily, but I am a far better R programmer. I believe R’s intuitiveness makes it easy to learn.
My line of work involves collecting, storing, and analyzing data from hundreds of agricultural surveys. In my day to day work, I use R for ad-hoc data analysis and reporting. I create data visualization applications with R shiny that help identify outliers. I have also built a few personal R shiny applications.
I am passionate about R, I use it every day and I look forward to showing you how to get the most out of your data.