Age band of driver/Age band of casualty – the data suggests here that drivers of vehicles involved in fatal crashes, and those most likely to be casualties are from older age australia contact data groups with the over 75 age group most heavily over-represented in the fatal crashes category.
Sex of driver – would giving this information finally answer that question of who the safer drivers are?
Many variables are linked (e.g., hour of day and lighting conditions, speed limit and road type are two obvious examples).
Factors which are indicative of a serious crash (e.g., police officer attending scene, number of vehicles involved, number of casualties) are deemed to be important but whose values may depend on the severity of the crash.
Conclusions
The discussions above have shown how important it is to understand the limitations of the data that you are using when drawing conclusions about the insights that appear. Failing to consider this could lead to misunderstandings about important factors in your data and incorrect strategic decisions when taking action based on that insight.