A single number rarely settles a site-selection decision. This scene renders three coordinated views of the same eight candidate sites, floating side by side in 3D: a ranked bar chart of composite score, a bubble scatter plotting cost against revenue potential (bubble size = expected footfall), and a colour-scaled bar of risk index. Because every panel shares the same site identities and colours, picking one site out lets you trace it across all three views at once — the same coordination trick that makes multi-panel Plotly dashboards useful for real decisions.
Analysts call this pattern "linked brushing" — selecting a data point in one chart highlights its counterpart in every other chart on the page, turning several static plots into one coordinated instrument.
Eight candidate sites rendered across three linked 3D panels — a ranked bar chart, a cost/revenue bubble scatter, and a colour-scaled risk bar — so you can see how a decision changes when the weighting or risk tolerance shifts.
Composite scores are recomputed live from a weighted blend of revenue and cost, re-sorting and re-growing the bars; risk-tolerant filtering fades out sites simultaneously in every panel, showing how coordinated views turn several charts into one decision instrument.
Pick a site from the dropdown to trace it across all three panels with glowing dashed connectors. Drag the revenue-weight and risk-tolerance sliders to watch the ranking and highlighted "best site" update in real time.
This pattern — called linked brushing or coordinated multiple views — is exactly what tools like Plotly subplots or Tableau dashboards do: selecting one mark highlights its counterpart everywhere else on the page.