Environmental Data Analytics: Driving Sustainability
Welcome to Data Analytics !
Discover how data analytics transforms environmental insights into actionable strategies. Explore simple yet effective visualizations that offer depth and quality, highlighting trends, predictions, and perspectives. We source publicly available, up-to-date environmental datasets from reputed organizations like the United Nations, NASA, and others to create our visualizations.
Tools used include D3.js, Python Pandas, Google Sheets, JavaScript, HTML5, CSS3, and more. Please find down below a sample data donut chart for global CO2 emissions with real live Dataset. Scroll down to explore the latest posts, as we regularly update this page. All charts are free to use and governed by the CC BY 4.0 policy.
Citation
AMA Style:
“Top 5 countries with CO2 emissions.” I Hug Trees. https://ihugtrees.org/data-analytics.html Accessed January 15, 2025.
BibTeX Style:
@misc{ihugtrees2025,
title = {Top 5 countries with CO2 emissions},
author = {{I Hug Trees}},
year = {2025},
howpublished = {\url{https://ihugtrees.org/data-analytics.html}},
note = {Accessed: 2025-01-15}
}
Embed This Chart
Copy and paste the following code into your website:
<div id="co2-donut" data-chart-id="co2-donut"></div>
<script src="https://ihugtrees.org/co2-donut-embed.js"></script>
Please use the following CSS for the tooltip and customize it as needed:
.tooltip {
position: absolute;
background: lightsteelblue;
padding: 10px;
border-radius: 8px;
}
Thank you for sharing this chart from ihugtrees.org.
CloseThe donut chart visualizes the top 5 countries by CO₂ emissions in 2021, with each slice representing a country’s share. The chart highlights contributions in thousand metric tons, revealed interactively via tooltips. Larger slices indicate higher emissions, emphasizing major polluters. This visualization simplifies complex data, making it easy to
grasp each country's impact.
This content is licensed under the CC BY 4.0 license, allowing you to share and adapt the work as long as you give appropriate credit.
About Analytics insights
This feature highlights expert opinions and interpretations from the author and researchers, offering predictions and uncovering trends through data visualizations. These insights simplify complex data, guiding informed decisions and proactive strategies.
Data Analytics Posts
Global CO2 Emissions: Trends, Impacts, and Data-Driven Insights
(coming soon)
Understanding CC BY 4.0 and Giving Credit
The data visualizations, content, and insights on this page are shared under the Creative Commons Attribution 4.0 (CC BY 4.0) license. This means you are free to use, share, and adapt the materials, as long as you give proper credit to "I Hug Trees." Attribution ensures that the time and effort behind creating and sharing this knowledge are acknowledged. Here's how you can give credit:
The visualization chart is courtesy of "I Hug Trees - Data Analytics" . The primary dataset comes from [Data Source link - for example: UN Data ] or other third-party sources.