SEAPEN's Data Visualization Gallery: A case study of a 100-meter intertidal transect, our gallery features interface-generated visualizations derived from SEAPEN's tools and LLM integration with python. Each plot reveals analytical insights of publishable quality.

This plot illustrates the cumulative distribution and relative abundance of different plastic types along a transect, highlighting trends and changes in plastic pollution over space.

This plot illustrates the cumulative distribution and relative abundance of different plastic types along a transect, highlighting trends and changes in plastic pollution over space.

The correlogram reveals the correlation between occurrences of different plastic types, offering insights into possible relationships or similarities in their distribution patterns.

The correlogram reveals the correlation between occurrences of different plastic types, offering insights into possible relationships or similarities in their distribution patterns.

By mapping the density of two selected plastic types, this visualization helps identify hotspots where these plastics are most frequently found together, indicating areas of high concentration.

By mapping the density of two selected plastic types, this visualization helps identify hotspots where these plastics are most frequently found together, indicating areas of high concentration.

The boxplot provides a concise summary of the distribution characteristics (median, quartiles, outliers) for each plastic type, allowing for easy comparison and identification of variability and extremes in the data.

The boxplot provides a concise summary of the distribution characteristics (median, quartiles, outliers) for each plastic type, allowing for easy comparison and identification of variability and extremes in the data.