Lauren Renaud

Project to extract keywords and then build webpages for each keyword

Using R and Airtable to collect sign ups, create pairs, and send match emails for one-on-one conversations

Joined Heinz Radio to talk about FII’s approach of trusting and investing in low income communities with direct, unrestricted cash.

Simple Shiny app built as a tutorial for a presentation at Heinz College exploring public data about capital investment projects in Pittsburgh, PA

Multiple methods for classifying extract products, by text matching and machine learning.

Preliminary analysis of the testing regime in the legal Washington State marijuana market. Portion of capstone team work conducted primarily with Krista Kinnard.

Automatically generating Code Enforcement reports for participating municipalities

Web app in R Shiny allowing users to generate graphs and maps by filtering Allegheny County Crash dataset

Ongoing project to map Larimer neighborhood for sustainable housing development plans.

Mississippi State Senate Districts, colored by the percentage of incarcerated people living in each district, with darker colors indicating higher percentages.

Data mining analysis of UK crash data using classification methods to determine what factors contribute to more severe crashes.

This map tracks mentions of @Burghers4Bernie, the local Sanders volunteer group, before and after Bernie Sander's announcement of a rally in Pittsburgh.