downloadPython and XSLT were used extensively in our research process to do larger-scale data transformation. These files, along with a brief description, are supplied below for simple viewing and download.
Insert text into the header element of all the XMLs in the directory. Used in this project to attach music files as well as links to xml and html files.
Used to attach schema to all XML files in the directory
Used to generate gefx file (Gephi graph)
Generate a list of lines from songs that have a particular ref in them, as well as the list of songs for which that ref is the most common one (see our References page here)
Tiny but useful. Acts like a find and replace within a directory of files on file names.
Takes static SVG export from Gephi and animates it (add fading/enhancing). Will work on any proper SVG export, but the file size will grow exponentially with the increasing number of nodes.
Used to transform our marked up xml files to html and generate javascript enabled svg graphs based on ref counts
Used to convert ref info supplied by another script into the html found on our References page, available again here
Used to convert percentage info supplied by another script into the wide comparative graph found on our graphs page (the first one-click here)
Essentially an xsl to produce an enlarged, rotated, and classier version of the svg graphs on each song page with larger input data ranges.
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