wk4
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wk3
The visual representation for Covid cases in Florida was modified to present data with greater clarity. The legend was modified to show county names rather than cases and the cases were moved to the map itself. Now the graph holds more information than its previous version, making it easier to identify the county and the corresponding case number. A caution covid graphic was added as a reminder for common covid guidelines.
n This is a graphical representation for covid cases over a certain number of weeks for specific counties in Florida. We can use color to distinguish different levels of cases, such as low, medium, and high. This can be done using a heat map. We can use the size of markers, such as circles or points, to indicate the number of cases in a particular area. We can group areas with similar case numbers together to help the viewer quickly understand the distribution of cases.
cancer is a significant health problem that affects a large number of people worldwide. Understanding the causes of cancer can help researchers, healthcare professionals, and policymakers develop strategies for prevention and treatment, as well as help individuals make informed decisions about their own health. By using visual analytics, I can quickly and easily analyze and communicate complex data on cancer causes, allowing to identify patterns, trends, and relationships that may not be immediately apparent in raw data. This can help me gain a deeper understanding of the factors that contribute to cancer, and potentially inform interventions and policies that can help reduce the burden of this disease.