Introduction Over Christmas 2017, my wife, Jill, resolved that our family (to include babysitters) would read our children over 1000 new books in 2018. More specifically, 29 December 2017 - 28 December 2018.
A goal like this takes dedication, love, and of course, a Data Science-y approach.
Special thanks to Ally, Zia, and Bookbuddy for help in accomplishing this goal!
Also, special thanks to drob and juliasilge who privde the tidytext package and the entire R open-source community I rely on to do this analysis.
A Little About Dates in R Before we launch into any analysis that contains dates, we should know a few important nuggets about how R handles date-like objects.
There are 3 date/time classes are built in to R
- Date
- POSIXct
- POSIXlt
Base R First, base R can read a string of text and convert it to a date class. To help it read the date, you must tell R what date format your character string should expect.
Tracking my cadet’s summer plans with dplyr and ggplot. The interactive ShinyApp is below! % -- % -- % -- % -- % -- % -- % -- % -- % -- % --
Was honored to speak at this years 2018 New York R Conference hosted by Lander Analytics and Work-Bench. Jared Lander sure knows how to host a good party, I mean, conference.
My Slides are available, and you can contact me at dusty.s.turner@gmail.com
Here is the youtube link to the video:
Oh, and I got to go for a little run before the conference!
As my experience with statistics, computer science, and the all encompasing term, data science, increases, I have decided that it is time to share some of my projects.
Creating this blog serves several purposes.
It archives some projects I’ve created. It makes my work public so I can receive (hopefully) constructive feedback to improve my tools/analysis.
It helps me share what I’ve learned with the community that has been so helpful to me.
