This is a data set of the cost of repairing damage done to shipping containers. Each repair involves a type of damage done to a part of a container. And each repair has an associated cost.
The question is how much does a set of damage-part pairs contribute to the total cost of repairs? And, if an intervention were made to address some types of damage and/or some part how much savings would result?
This chart shows the damage types (left side) and the part types (right side). The height of each block indicates the blocks contribution to the total repair costs.
The bands between the two sides show the cost contribution of each damage/part pair. Dark gray bands are selected for the total percentage number, while light gray bands are not.
Putting your mouse over a block label will show what contributes to the repair costs associated with that block.
You can change which damage/part pairs are selected by clicking on the blocks. Within each block. Only damage/part pairs where both the damage and part are addressable by the intervention are included in the total. Clicking on a block cycles through these states:
- + indicates that the block is addressed by the intervention (labels in bold)
- x indicates that the block is not addressed by the intervention
- o that it may be addressable if the other part of the pair is definitely addressable — (o,+) is selected while (o,-) and (o,x) are not
By clicking blocks on, off and in between you can explore the value of interventions that address alternate sets of damage types and parts.
The data in this chart is randomly generated.