Data Interpretation

Thi discusses the difference between qualitative and quantitative data, emphasizing the challenges of interpreting and aggregating rich qualitative information in large-scale institutions. Scott's perspective adds that institutions tend to reshape the world to make it more legible based on quantifiable data, impacting how data is processed and acted upon.