Building a Dashboard from Start to Finish: Step 5
This video demonstrates the steps needed to publish your dashboard. It includes considerations before disseminating your dashboard.
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This video demonstrates the steps needed to publish your dashboard. It includes considerations before disseminating your dashboard.
Learn the steps needed to successfully visualize your data. The video will review the common types of visualizations we use, adherence to a style guide, and ensuring the visualizations meet accessibility standards.
In this video, you will learn how to calculate conditional columns. It also demonstrates how to use the DAX language to create metrics that will be used in visualizing the data.
Learn how to transform your data using Power Query. It will teach you about common steps for cleaning data and how to establish your data model via table relationships.
This video will demonstrate how to load data into Power BI from various sources, such as your desktop or Azure.
This webinar, hosted by the Washington State Department of Health, features the experience of those who have used the color palette the agency developed for use in data visualizations. They share tips and tricks you can use to improve your charts and data visualizations.
Recognizing the need for better understanding of laws that apply to sharing public health data, Washington State Department of Health contracted with the Center for Public Health Law and Policy at Arizona State University to conduct a review of all state laws and policies that impact data sharing. Learn about these findings and resulting recommendations in this informative webinar.
This webinar describes an application of data science analytics to public health, using data from electronic health records (EHRs) to predict patient mortality.
This webinar provides an example of data science used in public health research, using natural language processing (NLP) to find useful insights from clinical chart notes.
This webinar provides an example of data science applied in public health research, using natural language processing (NLP) to identify health changes from social media data.