How can a business analyst utilize the sepal length data from the Iris dataset to enhance decision-making processes through data visualization?

A business analyst can plot sepal length against other variables to see how flower size varies across species, revealing patterns that might mirror customer segments or product categories. By creating a scatter plot or box plot, the analyst can quickly spot outliers or clusters, helping to decide which product lines need more attention or which markets show growth potential. The visualization turns raw numbers into a story, so stakeholders can see at a glance whether a particular species—or in business terms, a customer group—has unusually large or small measurements that could signal opportunity or risk. For example, if sepal length for Iris‑setosa consistently falls below a threshold, the analyst might suggest focusing marketing on the more robust Iris‑versicolor, which shows a wider range and higher average size.