Emission projection

This application creates a dashboard to analyze emission data on Streamlit. It allows users to select a company and compare its emissions against respective benchmarks.

How it works?:

• Select a company from the dropdown menu.
• View the emissions data for the selected company.
• Compare the emissions data against the respective benchmarks.
• Pick related companies if you want to

Introduction

This project aims to provide a comprehensive emission projection system that helps organizations analyze and forecast their carbon emissions. By leveraging data analytics and machine learning techniques, the system enables users to make informed decisions and take proactive measures to reduce their environmental impact.

Installation

To install and run the project, follow these steps:

1. Clone the repository:

git clone https://github.com/Glitchfix/streamlit-dashboard.git

2. Navigate to the project directory:

cd streamlit-dashboard

3. Install the required dependencies:

pip install -r requirements.txt

Usage

This script is used to run a Streamlit application.

To use the project, run the following command in your terminal:

streamlit run app.py

When you execute the command, Streamlit will start a local server and launch the application in your default web browser. The app.py file contains the code for the Streamlit application, which defines the layout and functionality of the user interface.

By running this command, you can interact with the Streamlit application and explore its features. Any changes made to the app.py file will be immediately reflected in the running application, allowing you to iterate and experiment with different configurations.