Interactive Web Visualization of Birth and Pregnancy Trends by Maternal Age, Race/Ethnicity, and Marital Status: United States, 1909-2013 Li Lu, Sally.

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Presentation transcript:

Interactive Web Visualization of Birth and Pregnancy Trends by Maternal Age, Race/Ethnicity, and Marital Status: United States, Li Lu, Sally C. Curtin, Brady Hamilton, Yinong Chong, National Center for Health Statistics, Center for Disease Control and Prevention

What can visualization tools do? December 1, 2015 FCSM Research Conference Mega data integration In sizes & formats Analyses and graphics rendering combined Dynamic and interactive user interface Automated real time reporting Instant publication and sharing

Improving Vital Data Analysis by Data Visualization December 1, 2015 FCSM Research Conference Vital Statistics Numbers/Rate Data Product: Report Tables, Figures & PDF Gathering and Formatting Data for a Topic “Live” interactive graphic user interface enables exploration Discover trend and pattern Compare different groups of data from a various prospective Show relationship among groups Easier and faster to understand and get actionable knowledge Help users to make right decision

Methods December 1, 2015 FCSM Research Conference Gathering and Formatting Data Relevant to a Topic Developing Visualization Worksheets in Tableau Desktop Professional Developing Dashboards and Publishing to Tableau Public

Result Data Visualization Li Lu Published on CDC website: three storyboards/dashboards on U.S. births and pregnancies from 1909 to 2013 General trends in the number, rate, and percent distribution of births Pregnancy, births rates, and percent distributions of births to unmarried women State births and state birth rates to teenage women

Conclusion  Flexible, expressive and Interactive data visualization is useful in analyzing data for selected topics by exploration  Dynamic: allow filtering, highlighting, and drilling down  Combine multiple data sources in one dashboard – easy to find information  New data can be added and refreshed in data visualization and republished quickly  An important adjunct to disseminating of vital data Let end users in driver’s seat – fast creation of charts of interest Automated updates with new data Easy sharing with support for existing security and section 508 compliance December 1, 2015 FCSM Research Conference

Acknowledgment  CDC NCHS Director Charles Rothwell  Division of Vital Statistics (DVS): Delton Atkinson, Paul Sutton  DVS Reproductive Statistics Branch: Amy Branum, Sally Curtin, Brady Hamilton  NCHS-DVS Data Visualization Team: Yinong Chong, Betzaida Tejada-Vera  DVS Information Technology Branch: Rajesh Virkar, Steve Steimel, Teddy Weldeamlak  NCHS OIS: Anthony Lipphardt  NCHS OIT: John Dolinka December 1, 2015 FCSM Research Conference

Live Demonstration of Data Visualization  December 1, 2015 FCSM Research Conference