This data product explores the instructional intent within Learning Walkthrough (LWT) feedback in the Americas Mid-Atlantic district. By applying the Ladder of Feedback framework through sophisticated text mining techniques—specifically Regular Expression (Regex) pattern matching—this analysis distinguishes between supportive social filler and high-impact coaching. The results illustrate a district profile that is strong in rapport-building but identifies a critical opportunity to increase reflective questioning for teacher growth.

uNIT 2 pROJECT

In this data dive, I will explore how different random samples from the same dataset can produce varying results. This helps demonstrate how sampling variability can influence the conclusions we draw from data.

Life Expectancy drawn across the observables.