For a Part C system, the fiscal data profile depicts demographic, service delivery, infrastructure, and administrative data in a variety of ways to make the fiscal data more comprehensible to users.
When presented effectively, data are engaging, comprehensible, relevant, and
DaSy Toolkits » Data Visualization Overview Toolkit Overview Introduction to Data Viz Resources General Considerations Accessibility Color Equity Types of Visualizations Charts Dashboards
Learn about the refresh of our ever-popular Data Vis Toolkit. Now with guidance on how to consider equity and inclusion when creating data visualizations and new resources and tools!
Are you looking for better ways to share your publicly-reported data with stakeholders? Do you wish you had access to an easy-to-use tool to help you create engaging data displays?
In this workshop, participants engaged in practical exercises to look for expected and unexpected patterns in their own data with the goal of increasing competence with data quality and prioritizing areas for data quality improvement.
In this session, participants engaged in practical exercises to look for expected and unexpected patterns in their own data with the goal of increasing competence with data quality and prioritizing areas for data quality improvement.
During this session, DaSy staff discussed how Part C and Part B program staff can leverage data linking to answer complex questions of interest. The presenters showed and described the new Data Linking Toolkit which is comprised of multiple sections that include downloadable tools to support Part C and Part B 619 program staff as they consider, prepare, and successfully link their data. In addition, North Carolina shared their recent experience linking Part C and Part B 619 data in their state across two state agencies.
This presentation included strategies generated from multiple states involved in technical assistance to improve Family Outcomes representativeness and equity.
In this interactive session, participants learned about best practices, tips, and tricks to sharpen their data visualizations, with an emphasis on key equity considerations. The session included examples of effective data visualizations and a live demonstration in Microsoft Excel using early intervention/early childhood special education data.