** ========================================================
 ** MAT259 Visualizaing Data | Winter 2011 | George Legrady
 ** =======================================================
 ** Project 2 : Top 100 Most Checked Out Items from 2005 to 2010
 ** =============================================================
 ** Nichole Stockman
 ** ================
 ** 
 ** 
 ** 
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 ** THE DATASET
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 ** XML dataset stored in a mySQL database containing information on checked-out
 ** items (books, cds, movies, etc.) from the Seattle Public Library. The data
 ** has been continuously recorded since August, 2005 and includes information
 ** from earlier dates.
 **
 **
 **
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 ** PROJECT DESCRIPTION AND THE DATA IT USES
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 ** This project displays a treemap. In the initial view, squares represent only
 ** the 10 main Dewey categories to which the top 100 most checked out items
 ** belong. However, left-clicking a square will divide it into squares 
 ** representing the individual items.
 **
 ** The size of each square is determined by the number of times the item was 
 ** checked out between 2005 and 2010. The square's brightness is determined by
 ** whether the items was a book, cd or dvd.
 **
 **
 **
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 ** FUNCTIONALITIES OF THE APPLICATION
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 ** 
 ** Left-Click
 ** ----------
 ** In the main view, this will divide a category square into smaller squares
 ** representing items in that category. 
 ** 
 ** If a square is already divided, this will zoom into the category.
 **
 **
 ** Right-Click
 ** -----------
 ** This will either hide the contents of a category or it will zoom out of the
 ** category depending on which state the treemap is in
 **
 **
 ** Keys
 ** -----------
 ** Pressing 'i' will toggle displaying the information box when hovering
 ** over items.
 **
 **
 **
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 ** PARSING THE DATA
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 ** MySQL Query Browser was used to make queries to the database and obtain a 
 ** list of the top 100 items which were checked out the most number of times.
 ** The result was stored as a text file.
 ** 
 **
 **
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 ** TO DO 
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 ** - Change info box style.. include link to the item on wikipedia or amazon
 ** - 
 **
 **
 **
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