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Local Chapter project

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

Data AnalysisMachine Learning
Start date
September 29, 2022
Finish date
October 24, 2022
Project status
completed
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

  1. 1

    Week 1

    Data Collection (pre-week 1 even)

  2. 2

    Week 2

    Data Pre-Processing

    Data Pre-Processing

  3. 3

    Week 3

    Data Pre-Processing

    Exploratory Data Analysis

    Modeling

  4. 4

    Week 4

    Modelling (cont)

    Modelling(Visualization)

What you'll learn

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

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.