How to Not Be Afraid of Your Data

I’m going to be giving a talk for the PDX RLang Meetup on July 11 called “How to Not Be Afraid of Your Data: Teaching EDA using Shiny”. Abstract below.

Many graduate students in the basic sciences are afraid of data exploration and cleaning, which can greatly impact their downstream analysis results. By using a synthetic dataset, some simple dplyr commands, and a shiny dashboard, we teach graduate students how to explore their data and how to handle issues that can arise (missing values, differences in units). For this talk, we’ll run through a simple EDA example (combining two weight loss datasets) with a general data explorer in shiny that can be easily customized to teach specific EDA concepts.

Citation

BibTeX citation:

@online{laderas2017,
  author = {Laderas, Ted},
  title = {How to {Not} {Be} {Afraid} of {Your} {Data}},
  date = {2017-06-28},
  url = {https://laderast.github.io/posts/2017-06-28-HowToNotBeAfraid/},
  langid = {en}
}

For attribution, please cite this work as:

Laderas, Ted. 2017. “How to Not Be Afraid of Your Data.” June 28, 2017. https://laderast.github.io/posts/2017-06-28-HowToNotBeAfraid/.