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Redesigning Mortality Rate Visualization for Alzheimer’s Disease in the U.S. (2006)

This project by Alina Kline focuses on redesigning the data representation of Alzheimer’s disease mortality rates in the U.S. for 2006. As the 7th leading cause of death overall and the 5th for those aged 65 and older, effective visualization is essential. The original data visualization was cluttered and difficult to interpret, prompting a redesign to improve clarity and readability. Key improvements include better representation of extreme mortality rates, easier data interpretation, and the introduction of innovative visualization methods to enhance comparative analysis across states.

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Redesigning Mortality Rate Visualization for Alzheimer’s Disease in the U.S. (2006)

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Presentation Transcript

  1. Statistical VisualizationRedesign Project:Mortality Rates in 2006 in US Due to Alzheimer's Disease Alina Kline Spring Term 2010

  2. Outline • Data source description & succinct background • Original data representation • Data representation redesign

  3. Data Source Description & Succinct Background • Alzheimer’s disease 7th leading cause of death across all ages in the US in 2006 and the 5th leading cause of death for those aged 65 and older. • Redesigned table based on information provided in: “Deaths: Final data for 2006.” (National Vital Statistics Reports Vol. 57, No. 14., Hyattsville, Md.: National Center for Health Statistics, 2009. by Heron, MP; Hoyert, DL; Murphy, SL; Xu, JQ; Kochanek, KD; Tejada-Vera, B.

  4. Original Table

  5. Reasons to Redesign • Too much information on the page: columns repeated twice on same page. • Unnecessary highlighting making it a bit more difficult to distinguish among states. • Not very easy to interpret data from table. • Not the best representation of this data.

  6. Improvements due to Redesign • Better representation of data: easier to single out extreme number of deaths due to the disease or extreme mortality rates. • Easier to interpret data. • Visualization option of all states that enables an easier way to distinguish among states with extreme mortality rates.

  7. Other potential Improvements • Inserting value labels on the last panel, values corresponding to the extreme cases. • Representing this data using other graphical methods.

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