Bu proje New York Taksi verilerinin 2017 yılındaki kapsamlı analizini ele almaktadır.
In this document, I will walk through the analysis of New York City Taxi Data (with download link shown in Section II) using Python. 6 months of “Yellow” label data will be loaded and analyzed.
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Furthermore, to deal with the large scale of data (4GB for 6 months in this case), a database is needed.
Here I will use SQLAlchemy, which is a Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
