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datafest's Introduction

DataFest in a Box

Streamline your ASA DataFest organization workflow with Google forms and R Markdown.

Note that the informational documents included here are specifically about the Duke DataFest event. Some sections may not be relevant for events in other locations, but most will be, hence I've provided them for others to easily modify to make their own.

Using this repo for organizing your DataFest

  1. Clone the repository.
  2. Make a copy of the DataFest Organization Google Drive.
  3. Update [HOST] and [YEAR] in scripts in this repository as well as on the forms in the Google Drive.
  4. Very important! Note that the .gitignore file contains an entry for .httr-oauth, make sure to not remove it, especially if you will be storing/sharing your work on a public repository. See the Managing oauth tokens vignette, and specifically the Don't publish your tokens section for more on this.
  5. For info on using the googlesheets package, check out its vignette. However the scripts included in this repository should be sufficient to get you going without much additional information.

What is in this repo?

This repo contains resources for DataFest organizers. Specifically:

  • R scripts and R Markdown documents for parsing sign-up data collected via Google Forms.
  • R Markdown documents for communicating information to participants, consultants, and judges.

Questions / comments?

Don't hesitate to send an email to [email protected] with any questions about DataFest.

datafest's People

Contributors

mine-cetinkaya-rundel avatar

Stargazers

Shamsudddeen Hassan Muhammad avatar Nicholas Horton avatar Joel Herndon avatar Edith Scheifele avatar Nicholas Tierney avatar  avatar

Watchers

Nicholas Horton avatar Ben Baumer avatar  avatar Edith Scheifele avatar  avatar

Forkers

adiguzelomer

datafest's Issues

Individual emails to participants / mail merge

This year I used the gmailr package for disseminating information individually to participants, specifically login info for RStudio / Jupyter notebooks accounts. I'm not sure if we'll be doing this again, or if it's useful for others, but might be nice to include those scripts here as well.

Parametrized Rmd

This can be a good opportunity to use parametrized Rmd to for host and year as parameters.

Post DataFest feedback

[] Add a Google form for post-DataFest feedback collection from participants and one for consultants and judges.
[] Create Rmd files that parse, analyze, and report on findings from these files.

Summaries of multiple columns

@hadley

In 10_participant_summary.Rmd, starting after line 90, I calculate summary statistics for a bunch of columns in the same way. Currently there is a lot of repetition in the code. An alternative is to write a function that does what I implemented. But I think this is a solved problem with summarise_each, though I'm not entirely sure.

The general problem I'm trying to solve is summary statistics for check all that apply type survey questions.

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