SA- Health Informatics Visualization

The use shaping the data into Male/Female figures this allows the data to label its self allowing the ’Ink’ to serve multiple purposes’. Use of Male/Female allows user to get a fast impression of the data or  ‘gist’ (Ware).  The totals are represented as heights  of the Male/Female figures, and the Male/Female Percentages as the heights of the dark shades of the pink & blue, Not Area(Tufte). This means the Ink  showing  4 pieces of data Time, Gender, Total & Percentage(Tufte) Use only half Male/Female shapes to reduce duplication, and allow easier comparison between Male& Female half’s.(Ware)

Consistent use pink and blue to represent male and females, allowing the user to intake information faster(Ware), and also makes sure the graph shows design variation rather than design variation.(Tufte)

The user can switch on Data labels to get exact percentages and totals  to defeat graphical distortion and ambiguity(Tufte) , The user can switch on Data Sets on & off to allow comparisons of only percentages or only totals(Tufte)

I have kept all the numbers for each Male/Female Figure within 1sq inch this allows the user to pick them out in a small number of ‘passes’ with there eye(Ware)

Possible lie factor due to population growth  4.13 % from 1999 – 2009 (UK Census Data)

Using figure height allows user to get over perception of the data without detailed study.(Ware)

Other than Labels(which can be turned off) all Ink is Data Ink, thus this visualisation

The Graphic Displays 4 dimensions of data (Time, Gender, Total & Percentage) in 2 Dimensions

The Graphic Displays 3 dimensions of data (Waist Size, Gender, Illness) in 2 Dimensions (Tufte)

The percentage for Non Raised Waist Circumference(NRWC)  , Raised Waist Circumference(RWC), and Population Total (AVG), are draw as circles with the radius proportional to the percentage. This introduces a possibly for graphical distortion and ambiguity, In attempt to reduce this I have layed the circles on top of one another(Ware) , this focuses the user on the gap between there sizes , and thus the liner difference in radius, rather than comparing their area (Tufte)

By placing the sets of circles in a two dimensions grid, and keeping a constant scale the user may pan their eye across to make not just comparisons between Waist Size, but Gender and Illness

The user can switch on Data Sets on & off to defeat graphical distortion and ambiguity(Tufte)

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