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Exploratory Data Analysis of 2017 NYC MTA Turnstile data

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Project Benson

Team

  • Andrew S.
  • Mijbel
  • Mitch
  • Skip

Project Statement

A new falafel stand company with big ambitions and a lot of marketing dollars to spend wants to make a big first impression on the New York city street food scene. They're hiring us to help them make strategic use of NY MTA data, in order to:

  • place ads by location, not to exceed 5, such that the number of potential falafel-buyers who see their ads is maximized, and
  • use data to provide clever, attention-grabbing ad content for the placements

As an imagined example, we may use in-out turnstile data to find a station that is highly traveled, and suggest the creation a billboard ad that displays inside the subway station walls, addressing viewers with an interesting descriptive statistic: "You're going to spend an average of 3.7 minutes standing and waiting for this train. Conveniently, that's about how long it takes it eat this hot, delicious falafel."


Project Benson Challenge Requirements

Data:

  • MTA Data (Google it!)
  • Additional data sources welcome!

Skills:

python and pandas visualizations via Matplotlib & seaborn

Analysis:

Exploratory Data Analysis

Deliverable/communication:

Group presentation (4-5 people per) slide presentation visual and oral communication in group presentations organized project repository

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