Custom visualization libraries enhance data analysis by:
Allowing for the integration of multiple data sources. Facilitating the creation of interactive and customizable visualizations. Providing tools to highlight specific data points or trends.
For instance, D3.js can be used to create interactive heat maps that show the geographic distribution of a disease outbreak, while Plotly can generate real-time visualizations that update as new data is collected.
