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_sources/notebooks/spill/spillover-README.md

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 |     | Origin Country       | Daily Capacity at Risk (metric tons) | Capacity at Risk - 90-Day Disruption (metric tons) |
 | --- | -------------------- | ------------------------------------ | -------------------------------------------------- |

notebooks/spill/spillover-README.html

@@ -469,6 +469,8 @@ <h2>Methodology<a class="headerlink" href="#methodology" title="Permalink to thi
 <h3>Estimating At-Risk Capacity of a Port Disruption (Metric Tons) by Country<a class="headerlink" href="#estimating-at-risk-capacity-of-a-port-disruption-metric-tons-by-country" title="Permalink to this heading">#</a></h3>
 <p>For this analysis, we filtered the global dataset for exports to all Yemen ports. We then identified the top ten countries whose at-risk daily capacity (aggregated across all ports in a country) were the highest if any of the Yemen ports were disrupted. We then followed the paper’s guidance on the linear relationship between daily at-risk capacity and the number of days of disruption and multipled the at-risk capacity by 90 days. With these steps, we produced the following bar chart and table.</p>
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