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NYCTAXI-ANALYSIS

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.

#GROUP MEMBERS

1-MELİH ALTAY

2-OĞUZHAN KANSU

3-HAMDİ SERDAR KARAGÖZLER

4-OĞUZHAN TAÇTAN

5-FEVZİ ÖZGÜR ORHON

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.

location

Q1: Which regions have most pickups and drop-offs?

popular_zones brgh

Q2: When are the peak hours and off-peak hours for taking taxi?

graphics

Q3: What are the differences between short and long distance trips of taking taxi?

trips_analysis_graphic

zones

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