3. Waarhebben we het eigenlijk over? Datavisualisatie Info Graphic Information Design Visual Thinking Mashup Direct Manipulation Information Architecture
7. Het proces van datavisualisatie Ben Fry (2007), Visualizing Data Acquire Obtain the data, whether from a file on a disk or a source over a network. Parse Provide some structure for the data’s meaning, and order it into categories. Filter Remove all but the data of interest. Mine Apply methods from statistics or data mining as a way to discern patterns or place the data in mathematical context. Represent Choose a basic visual model, such as a bar graph, list, or tree. Refine Improve the basic representation to make it clearer and more visually engaging. Interact Add methods for manipulating the data or controlling what features are visible.
8. Het startpunt is de data Verzamel het, bekijk het, voel het Het echtespul: geen‘dummy’/’placeholder’ data Kwantiteit is belangrijk
9. Het startpunt is de data Kwalitatief vs. kwantitatief Discreet vs. continu Meetschalen: ratio, interval, ordinaal etc.
18. Gebruikersmaken de boodschap Begrip van gebruikers is danook net zobelangrijkalsbegrip van de data P. Morville & L. Rosenfeld (2006), Information Architecture P. Morville & J. Callender (2009), Search Patterns
