Correlations Between Multiple Databases, County Average Income And Employed Bus Riders in Winston-Salem, NC (Phase II)

Challenge Background

Forsyth Tech is a county with extreme economic inequality, while the western side of the town is rather wealthy, the eastern side of town is plagued with poverty, low-income housing, a lack of economic opportunity. The center of Economic Mobility has been collecting data for many years on Forsyth County, NC. We will attempt to gain access to these data sets to gain some insights into causal relationships between data sets.

The Problem

Using multiple data-sets, the project will attempt to make a data-correlations between the boom and bust cycles in the Piedmont Triad and employed and unemployed Bus riders in Winston-Salem, NC. We will see multiple points of time series data and will attempt to cross inference multiple data-sets to determine cause and effect factors or find a model that can find a guiding equation between both data-sets.

Goal of the Project

1. Attempt to make a prediction about the future of public transportation ridership in the county. 2. Publish a medium length paper about ridership, employment, and average income R coefficients.

Project Timeline

What you'll learn

1. Modeling 2. Model Deployment into possible API 3. Visualisation and Publication