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[Big Data Analytics]Analyzing relationship between changes in weather and its impact on the city taxis

HTML 0.02% JavaScript 0.01% CSS 0.01% Python 0.55% Jupyter Notebook 99.38% Shell 0.01% Makefile 0.01% Batchfile 0.01% Java 0.02%

nyc-weather-vs-taxi-analysis's Introduction

NYC-Weather-vs-Taxi-analysis

Basic Idea:

We’re trying to analyse the relationship between changes in weather and its impact on the NYC Taxi fares, pickups and dropoffs, number of pick ups and drops, trip duration etc. in New York City. We worked on last year’s data to perform all sorts of analysis. We also used visualization tools like D3.js and Tableau to show our findings on the New York City map.

Data visualization using D3 and Tableau :

https://github.com/mbostock/d3 https://d3js.org/

Datasets:

Taxi Data: http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml Weather Data: https://nyu.app.box.com/s/4lkrxs9rdsfjzpu1gh9nwen89jxtc9dd

#Final Report: https://goo.gl/VOvxBn

#Final Poster:

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#Few analysis in local environment:

Number of Pickups in the month of January:

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Number of Trips between Jan - Feb 2015:

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