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People generally are motivated when they see how easy it is to start something small and with a specific example!
my ex: being able to work with multiple dataframes concurrently.
- It is important that we advise them to first focus on solving the problem & then shift to efficient coding.
- In R, we code the way we think! So, ask them to map out the data wrangling steps.
I took several colleagues to events hosted by @RLadiesNYC, @WiMLDS_NYC, @nyhackr. I had to entice them with free pizza for the first one, but now they show up on their own!
... And then develop accompanying contextualized training materials using internal datasets relevant for their daily work as well!
At our office, we have a weekly "data cafe" & I used this platform to run R trainings! It was also a great place to show[off] cool reproducible Rmarkdowns!🙌🙌🙌
No one likes to be constantly reminded that "oh! this could be so much easier in R". 🙋♀️ I AM GUILTY OF THIS BEHAVIOR!
Change comes slowly❗
Instead, teach them to understand the errors and solve it!
🌟One good coding skill to have is knowing how to google what you need!🌟
Show them resources: stackoverflow, google, blogs, and...twitter!!
Encourage your staff to teach and share what they learnt. It builds their confidence and they internalize the #rstats knowledge when they teach.
But there is still a long way to go.
See how @urbaninstitute grew an R community: medium.com/@urban_institu…