Data Visualization in Environmental Public Health

Data Visualization in Environmental Public Health: From Data to Insight

Figure 13 Providing Context for Changes in Reported Vector Complaints

Communicate Context and Limitations

Numbers alone have little meaning. Context helps audiences judge whether a result matters, while communicating data limitations helps them interpret the findings appropriately. Useful context includes comparisons with previous years, program targets, benchmarks, seasonal patterns, or similar jurisdictions. Relevant limitations to consider explaining include missing records, small sample sizes, changes in definitions, differences in reporting practices, relevant assumptions, or data that represent only reported events. These limitations do not necessarily render the data useless, but acknowledging them helps the audience draw more informed conclusions. For example, a chart showing that vector complaints increased in 2024 compared with 2023 suggests that complaints were unusually high. Comparing only 2 years provides limited context because 2023 might not have been typical. Adding a 5-year average helps the audience see how both years compare with the longer-term pattern. In this example, the additional context shows that 2024 complaints were substantially higher than both 2023 and the 5-year average, particularly during the summer months. If the data include only complaints reported to the program, communicate that limitation in accompanying text so the audience understands the chart reflects reported complaints, not all vector activity.

Identify the Takeaway Start with the message and what the audience should understand. The primary takeaway should focus attention on the information most relevant to the decision, discussion, or action the visualization supports. Charts, maps, and dashboards are most useful when a clear narrative supports them and directs attention to the most important findings without overstating what the data can prove. The takeaway should reflect both the evidence and its intended use. Program supervisors might need detailed information about workload, timeliness, and staff assignments. Agency leadership might need a concise summary of performance, emerging risks, and resource needs. Community members might need plain-language explanations of local conditions, available services, or recommended actions. The same underlying data therefore require different levels of detail, terminology, and presentation for different audiences. Identifying the takeaway helps determine which findings to emphasize and how much supporting information to provide.

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