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Uberdata NYC Project

https://www.kaggle.com/datasets/shuhengmo/uber-nyc-forhire-vehicles-trip-data-2021https://www.kaggle.com/datasets/shuhengmo/uber-nyc-forhire-vehicles-trip-data-2021

This is basically 1 month of data on Uber trips taken in the NYC area analyzed in detail.

Project Logo

Welcome to the Uberdata NYC Project! This repository contains code and resources related to analyzing and visualizing Uber data for the New York City area.

Table of Contents

About

The Uberdata NYC Project aims to analyze and visualize Uber ride data in the New York City area. It provides insights into ride patterns, popular routes, and other interesting trends. The project is implemented using Jupyter Notebook for data analysis and visualization.

Dataset Details

In New York City, all taxi vehicles are managed by the Taxi and Limousine Commission (TLC). The TLC is responsible for licensing and regulating various types of taxis and for-hire vehicles. The dataset used in this project is the NYC TLC Trip Record data, which includes trip records from different types of vehicles:

  • Yellow Taxis: Traditional taxis hailed on the street.
  • Green Taxis: Introduced to improve taxi service availability in boroughs.
  • High-Volume For-Hire Vehicles (FHV): Includes ride-hailing services like Uber, Lyft, Via, Juno, etc.

The dataset provides insights into taxi and for-hire vehicle trips in NYC and can be used to understand trip patterns, analyze user behavior, and predict demand.

Getting Started

Prerequisites

Before you begin, ensure you have the following requirements:

  • Python (version XYZ)
  • Jupyter Notebook
  • Required Python packages (specify the necessary packages)

Installation

1a. Clone this repository to your local machine:

git clone https://github.com/your-username/Uberdata_nyc.git
1b. Navigate to the project directory
cd Uberdata_nyc
2. Install the required packages using pip:

bash
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pip install -r requirements.txt

Usage
Open Jupyter Notebook:

bash
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jupyter notebook
Navigate to the notebook file "Uberdata_NYC.ipynb" and open it.

Follow the instructions in the notebook to run the analysis and visualize Uber data.

Contributing
Contributions are welcome! If you'd like to contribute to the project, please follow these steps:

Fork the repository.

Create a new branch for your feature/bugfix:

bash
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git checkout -b feature/your-feature-name
Make your changes and commit them:

bash
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git commit -m "Add your commit message"
Push your changes to your fork:

bash
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git push origin feature/your-feature-name
Create a pull request to the main branch of this repository.

License
This project is licensed under the MIT License.

Contact
If you have any questions or want to collaborate, feel free to reach out to me at nagtamaghna@gmail.com

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This is basically 1 month data of Uber trips taken in NYC area analysed in details.

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