Abstract

CO2 Emissions Data Visualization Project – I Hug Trees

The I Hug Trees CO2 emissions project is a data-driven initiative that visualizes global carbon footprints using interactive treemaps and bar charts. The dataset, sourced from UN Data, contains CO2 emissions figures for the top 25 highest-emitting countries, extracted from a larger global dataset. This structured CSV dataset categorizes emissions by country, industry, and energy source, enabling comparative analysis and trend identification. Built with D3.js, the platform provides an intuitive interface for researchers, policymakers, and environmental advocates. Future plans include AI-driven predictive modeling and open APIs to enhance accessibility and collaboration for climate action.

Instructions:

CO2 Emissions Data Visualization Project

Overview

The I Hug Trees CO2 Emissions Data Visualization Project is an initiative to provide interactive insights into global carbon emissions. Using structured datasets and dynamic visualizations, this project aims to help researchers, policymakers, and environmentalists analyze CO2 emission trends across the top 25 highest-emitting countries from 1975 to 2021.

Dataset Description

File Name: co2-wide.csv
Source: Extracted from a larger dataset available in UN Data
Format: CSV (Comma-Separated Values)
Contents:
- Country: Name of the country
- 1975 - 2021: Yearly CO2 emissions in Thousand Metric tons

How to Use the Dataset

Load the CSV File:
- Using Python (Pandas):
```
import pandas as pd
df = pd.read_csv("co2-wide.csv")
print(df.head())
```
- Using Excel/Google Sheets:
  - Open Excel or Google Sheets, navigate to File > Import, and select co2-wide.csv
Visualizing the Data:
- The dataset is structured to be used in D3.js for treemaps and bar charts.
- If using Python:
```
import matplotlib.pyplot as plt
df.set_index("country").T.plot(kind='line', figsize=(12,6))
plt.show()
```

Filtering Data:

To filter emissions for a specific country:

df_usa = df[df["country"] == "United States"]
print(df_usa)

Data Visualization

This dataset is used within the I Hug Trees platform to create:

Treemaps: Showing the relative CO2 contributions of different countries
Bar Charts: Comparing emissions trends over years
Trend Analysis: Visualizing changes in emissions over time

Embed the Visualizations

You can embed the interactive visualizations directly into your website using the following codes:

Treemap Embed Code:

Copy and paste the following code into your website:

<iframe src="https://ihugtrees.org/data-analytics/co2-emissions-treemap-embed.html" 
        width="960" height="600" 
        style="border:none;" 
        allowfullscreen></iframe>

Bar Chart Embed Code:

Copy and paste the following code into your website:

<iframe src="https://ihugtrees.org/data-analytics/co2-emissions-barchart-embed.html" 
        width="960" height="600" 
        style="border:none;" 
        allowfullscreen></iframe>

Future Enhancements

AI-based CO2 predictions using historical data
Open API access for researchers and policymakers
Expanded dataset coverage beyond the top 25 countries

License

This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You are free to use, share, and modify it with proper attribution to I Hug Trees.

Contact

For any queries or contributions, please reach out via I Hug Trees - Data Analytics or email nature@ihugtrees.org

Dataset Files

co2-wide.csv (14.88 kB)

Datasets

Standard Dataset

CO2 Emissions Insights: Visualising the Top 25 Global Emitters

Abstract