TidyWeek
Repo dedicated to Mentorship pilot / TidyWeek
hashtag: #TidyWeek
A repo dedicated to a #makeovermonday style weekly projects as result of collaboration between learners and mentors @ R4DS community.
.png)
Why TidyWeek?
We thought it best to have a program name that:
- Follows major themes in the
tidyverseand R4DS, tidy data and tidy tools! - Reflects the target duration of most projects
- Relatively easy to remember twitter hashtag (#TidyWeek)
What is Tidy data? Tidy tools? Tidyverse?
It is a framework and theory by Hadley Wickham that has grown from its humble origins and expanded to data, tools and workflows for working in data science.
TidyWeek Project Outline
- Regular/weekly projects as output of the mentor-learner partnership during a week
- Each week a data set will be published (via https://data.world and separate repo with instructions here), this weeks/test here (later will create R4DS profile there +add admins): https://data.world/radovankavicky/2018-01-tidyweek
- Learners will create profile there and a project (we will use
data.worldR package, more @ CRAN here: https://cran.r-project.org/web/packages/data.world/index.html), which automatically generates and RMd notebook that will later be published on GitHub - Train & walk-through full Data Science cycle/process capturing transformation from raw, messy real-world dataset into tidy form and the output/model, visualization or final document/published via Data.World or as Jupyter notebook with IRkernel via GitHub
- More on #MakeoverMonday here (for those that are not yet familiar with it): http://www.makeovermonday.co.uk
- Share your work via Twitter and other social networks with #TidyWeek (as for the name & hashtag of the project + TidyWeek also because the learners will have to “tidy” the messy/real-world dataset first and will have a week to create the output from the given dataset via RPubs document or a Jupyter notebook published on GitHub with the help/oversight of the mentor)
- Others can/will be able to vote & rank (https://data.world or your own GitHub repo/Rmd Notebook or Jupyter notebook)
- Learners will build their Data Science portfolio/projects that they were working on together with a mentor from R4DS community
1st week/test
Schedule
| Test Version | Start/1st #TidyWeek |
|---|---|
| End of March | 2nd April |
| R4DS Mentors | R4DS learners & Mentors |