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DIL Analytics Manual
Home
Principles of analytics
Working with data
Touch whatever you want...
…and please don’t move anything
Show, don’t (just) tell
Start simple
Create good data sets
Be mindful of sensitive data
Writing code
Choose wisely
Code should live forever
Don’t repeat yourself
Be kind to your reader
Track your changes
Ask questions
Automate your workflow from the start
Test your code continuously
There’s always more to learn
Guides
Power calculations
Power calculations at DIL
How to perform power calculations for your project, step by step
Introduction to statistical power
Why underpowered studies are bad
A recap of hypoyhesis testing
Individual randomization
Cluster randomization
Selected advanced topics
Bad for power
Power through simulations
External resources
Data visualization
Git
Python
R
Stata
Templates
Code review checklist
Data dictionary template
Paper submission checklist
External resources
Python
Python resources
Learning resources
Python Virtual Environments: A Primer
Sebastian Hohmann’s GIS course
Consultation materials
PEP8 Style Guide
Conda cheatsheet
Sample code
Mostly harmless replication repository