![]() ![]() This in itself is a narrative of the obesity issue, it is complex and that message is conveyed visually before we event start to process the information within. It is often referred to as the ‘Spaghetti diagram’ such is its appearance. ![]() The ‘Foresight Obesity System Map’ attempts to chart the many determinants of obesity. ![]() With public health data there are always stories to tell. Test your ideas before publishing more widely.Have people on your team who understand your audience.Put simply, your understanding of your audience will determine if your visualisation will be understood. Your understanding of an audience will help you determine the scope of your visualisation, the detail and the complexity. Knowledge of your audience will help you to identify the messages and narratives within the data that will most effectively resonate with them. Understanding your audience is critical to the success of a data visualisation. Talk to analysts to get the most from the data.If you don’t have analytical skills of your own make sure you have a data analyst on your team when developing an infographic. The quality and rigour of that data is what gives the work we do authority and authenticity. When we consider visualising data of our own, the starting point must always be our data. What can we can learn from Florence Nightingale’s experience? This diagram visually described how mortality from preventable disease was greater than that of wounds and other causes. Florence Nightingale’s famous ‘Diagram of the causes of mortality in the army in the East’ (above) was one such example. Analysts have been creating maps, charts and other visuals to communicate narratives within data for centuries. Social media has popularised the infographic, but the reality is they are not new. Historically these have been processed and interpreted by analysts into reports but now we are witnessing an increasing demand for new ways to explain that data, for new audiences and through an ever increasing range of media outlets. We have to find new ways to keep engaged with our audience. We're used to dealing with large numbers in public health: thousands of people, billions of pounds and terabytes of data. ![]()
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