Poster Abstract

Introduction:
Climate change is a pressing global challenge, and accurately measuring and analyzing CO2(Carbon Di-Oxide) emissions is crucial in understanding and addressing this issue. By visualizing emissions data aims to provide valuable insights into each country's contribution to greenhouse gas emissions and support the development of effective climate policies and mitigation strategies.

Objective:

The main objective of this project is to use HPCC Systems®, an open source big data analytics platform, for visualizing CO2 emissions per capita of different countries. By addressing the challenges in data collection, integration, and visualization, we seek to provide a comprehensive understanding of the global carbon footprint and facilitate informed decision-making towards sustainable practices.

Methodology:

This project focuses on leveraging HPCC Systems to address the challenges associated with visualizing CO2 emissions of different countries. The first step
involves collecting reliable CO2 emissions data from reputable sources and preprocessing it to ensure consistency and handle missing values. By using HPCC Systems' Visualization bundle, the preprocessed data can be integrated and managed efficiently, thanks to the platform's distributed file management and data indexing capabilities. The comparative visualization aspect enables side-by-side analysis of CO2 emissions for different countries. The interactive visualizations created with HPCC Systems allow users to compare emissions levels, territorial contributions, and per capita emissions, facilitating the identification of best practices. By leveraging HPCC Systems, this project aims to provide valuable insights into global emissions
patterns and trends

Presentation

In this Video Recording, Rohan provides a tour and explanation of his poster content.

Leveraging HPCC Systems for Visualization of CO2 Emissions per capita of Different Countries

Click on the poster for a larger image.