Wrap Up
January 29, 2025
Wrap Up
Course Evaluation
Please remember to do this!
Use time at end of class.
What have we learned
- R coding skills
- RStudio
- Quarto
This stuff is NOT easy: you have ALL demonstrated a great deal of growth over the course of the semester
It takes a lot more time to really master these skills: you have a foundation to build on if you choose
Data Viz
Summarizing and communicating with data using visuals is incredibly important
Especially as the amount of data available to us increases: we need to be able to make sense of it and to tell stories with it
Data Viz
Communicating Uncertainty
All data we observe is a function of the “true” value AND sampling variability (or measurement error)
Therefore: we are use our data to make estimates about the true value
When we do this, we need to say something about our degree of uncertainty
- Confidence intervals
Communicating Uncertainty
Hypothesis Testing
Again, we know that the data we observe is a function of the “true” value AND sampling variability (or measurement error)
Hypothesis testing is a framework for assessing how likely our observed data (or relationships) are to have arisen due to chance
If observed relationships are very unlikely to have arisen due to random chance alone, we can conclude there is likely something systematic going on
Modeling
Prediction / forecasting
Causal relationships
What you have learned is foundation for a lot of modeling applications
- Violence/conflict forecasting
- Making spam filters for your email
- Automating classification of documents
We’ve done a lot: statistical and conceptual work AND coding skills
- Thank you for giving it a go!
Interpreting data analysis
Foundation for the future
Project
Work in group or on your own
Come ask us questions
