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Visualizing Data Using Dynamic Dashboards

Empowering people and organizations to integrate data into their decision-making processes often means providing them the means to identify, visualize, and better understand specific portions of their populations. Dashboards developed in software such as Tableau, Power BI, and RShiny are one prominent tool data scientists develop to support people and organizations who'd like to improve their data-driven decision-making.

I've developed dashboards for several different contexts and audiences, including community health departments and health-related organizations and state-level Medicaid agencies. The work sample below uses simulated (fake) data to illustrate how one might visualize a HEDIS (Healthcare Effectiveness Data and Information Set) measure within a Medicaid Agency setting.

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