Work Collection

Project Title

Consumer Research (CX)

Creative Campaign

Data Analysis

Client Project

Work Collection

Project Title

Consumer Research (CX)

Creative Campaign

Data Analysis

Client Project

Work Collection

Project Title

Consumer Research (CX)

Creative Campaign

Data Analysis

Client Project

Client

Boston Council

Tools

Python Pandas and scikit-learn (Regression Analysis); Python Seaborn and Matplotlib (Data Visualization)

Reflection / Opportunities

  • Maybe research into other qualities of the Antelope Valley (Joshua tree, etc.)

  • Did you know Joshua trees as a species are 2.5 million years old? They were around when mammoths and saber-tooth cats were around. It’s like taking a glimpse back into history.

  • What if we did a campaign about going back in time? Many things change in the past millennia, Joshua trees haven’t.

Extension Analysis

Detailed extension data analysis is available to download as a report below.

Overview

Working with Boston Councilor Breadon, our team analyzed Boston's property and rental datasets to identify problematic and scofflaw landlords. Our goal is to make the housing development process more transparent and accessible, helping the public make informed housing decisions and better understand their city's changing landscape.

A Trackable System

After presenting a preliminary analysis of the dataset, we proceeded to create a trackable map system of property violations across the Boston area as well as a matrix to classify landlord behavior. Users can use the search to view property violations by property owners.

Extension Analysis

Using lasso regression analysis, we found that coefficients that are correlated to an increase in property violations include the number of POC, disabilities, and children in a building. We recommend the Boston Council to explore these findings with field research to determine causality.