# Choose wisely - [x] Link to example main R script from "choose wisely" - [x] Link to example main do-file from "choose wisely" - [ ] Find a good comparison of software to link from "choose wisely". [This](https://www.r-bloggers.com/2019/07/whats-the-best-statistical-software-a-comparison-of-r-python-sas-spss-and-stata/) is not bad, but it's outdated. - [x] Link to automation principle from second paragraph # Be kind to your reader - [ ] Example of code that uses bad indentation - [ ] Example of code where inputs are not clear (link to Stata style guide once [this PR](https://github.com/worldbank/dime-data-handbook/pull/584) is merged) - [ ] Link to example of code that documents *why* something is done as well as *what* is being done - [ ] Link to example of code with self-documenting workflow - [x] Link to plan for updating readme file from "be kind to your reader" # Live forever - [ ] Link to project setup with `renv`, conda environments or `adopath` on last bullet point - [x] Link to automation principle on second bullet point # Track changes - [ ] Link to example on how to track changes to metadata - [ ] Link to GDP principle # DRY - [ ] Link to how to (not) write loops in R - [ ] Link to how to write loops in Stata - [ ] Link to how to write loops in Python - [ ] Link to how to write functions in R - [ ] Link to how to write functions in Stata - [ ] Link to how to write functions in Python - [ ] Link to example of how repetitive code is error-prone - [ ] Link to data analysis guide (from example in text) # Ask questions - [ ] Link to examples of how to read help files - [ ] Link to examples of how to see help files # Continuous testing - [x] Link to automation principle - [ ] Link to examples of code testing # There's more to learn - [ ] Link to cheatsheets
Choose wisely
Be kind to your reader
Live forever
renv, conda environments oradopathon last bullet pointTrack changes
DRY
Ask questions
Continuous testing
There's more to learn