Skip to content

This project focuses on cleaning traffic volume data using Python, Jupyter Notebook, Pandas, and NumPy. The goal is to preprocess the raw data and convert it into a clean CSV/JSON format for further analysis and visualization.

License

Notifications You must be signed in to change notification settings

canaleal/Traffic-Volume-Processing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Toronto Traffic Analytics & GeoData Integration

Data Science • Geojson • Jupyter

Contents

Overview

This project focuses on cleaning traffic volume data using Python, Jupyter Notebook, Pandas, and NumPy. The goal is to preprocess the raw data and convert it into a clean CSV/JSON format for further analysis and visualization.

Technologies

jupyter pandas numpy python Docker

Installation

  1. Install Python on your computer.
  2. Clone this repository to your local machine using git clone
  3. Navigate to the project directory
  4. Install the required dependencies using pip install -r requirements.txt

This command installs the necessary dependencies, including Jupyter Notebook, Pandas, and NumPy.

Contributing

At the moment, we are not accepting contributions. However, we appreciate your support and encourage you to stay updated with any future developments.

About

This project focuses on cleaning traffic volume data using Python, Jupyter Notebook, Pandas, and NumPy. The goal is to preprocess the raw data and convert it into a clean CSV/JSON format for further analysis and visualization.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published