The first visualization presents a distribution of total ESG risk scores, showing how companies are spread across different risk levels. Most companies seem to cluster between scores of 15 to 30, indicating that moderate risk levels are the most common.
A bar chart of the top 10 companies with the highest ESG risk reveals those facing the most significant sustainability challenges. The highest risk company holds a score of 41.70, with sectors like Basic Materials, Consumer Cyclical, and Energy dominating the top spots.
A scatter plot compares environmental and governance risk scores across industries. It highlights that some sectors maintain strong governance structures but struggle with environmental impact, while others have balanced risks. Technology and Financial Services appear to manage governance risk better than Energy and Industrials.
A 3D ESG Risk Clustering model categorizes companies into distinct groups based on their ESG scores. This approach helps in identifying patterns and potential industry-wide risk mitigation strategies.
Sector-wise breakdowns show that Basic Materials and Energy have the highest average ESG risk scores, exceeding 30, while sectors like Technology and Healthcare maintain lower risk profiles around 13-18.
Using silhouette scores, the analysis identifies the best number of clusters for segmenting ESG risk profiles. The optimal cluster count appears to be between 2 and 4, suggesting distinct ESG risk groups among companies.
Visualizing ESG scores within each sector provides deeper insights into which industries have the widest risk variations. Some sectors exhibit uniform risk distributions, while others have highly varied risk scores, indicating potential outliers or companies making significant sustainability efforts.