Piecing together the puzzle of property prices with peer-to-peer lending data


Data science provides a venue that exercises the inquisitive mind. The opportunity to investigate new datasets and understand their value for a theory or model never ceases to fascinate and enthrall. That inquisitive nature -- the mission to understand what drives value in the commercial real estate (CRE) market -- runs at the core of what we do here at GeoPhy. It leads to the exploration and analysis of a wide variety of data. This variety and the unprecedented volume of data now available provide two of the conventional "V's" of big data [1], and make this quest both a compelling and complicated one -- like fitting together pieces of a puzzle.

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