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TAMU-Data-Challenge-2018

Dr. Sheather's 2018 Data Challenge at Texas A&M University

Our project assesses over 40GB of raw data collected over 5 years: Millions of records on Chicago Taxi data. The question our project set to answer was: Is the median taxi driver in Chicago making as much money as before the rise of ridesharing companies such as Lyft.

Note: Ridesharing company data is NOT included in the dataset. The analysis is on traditional cap companies operating within city limits.

Submission by Team RNG

Advisor - Dr. Irina Gaynanova

Team Director - Elina Sergeeva

Predictive Modeling - Se-Yoon Lee & Elina Sergeeva

Visualization - Weixi Zhu & Jared Anderson

Data Wrangling - Jared Anderson

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Dr. Sheather's 2018 Data Challenge at Texas A&M University

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