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My goal is to use different datasets to corroborate the information, and by self-analyzing data, learn about the processes and how can we develop our own criteria and metrics. Once we have learned that organizations like WPRDC provide a plethora of sources that anyone can use and take advantage, I ask myself, as a pseudo data analyzers, amateur speaking, can we compete with companies that produce great amount of studies and outcomes that represent a valid source of information for the common public and also government, academia and related groups?  

Looking at the dataset of the WPRDC, I found an interesting study developed by the Walk Score company. The criteria used for this study is the following.

For each 2010 Census Tract centroid, Walk Score analyzed walking routes to nearby amenities. Points are awarded based on the distance to amenities in each category. Amenities within a 5 minute walk (.25 miles) are given maximum points. A decay function is used to give points to more distant amenities, with no points given after a 30 minute walk. Walk Score also measures pedestrian friendliness by analyzing population density and road metrics such as block length and intersection density. Data sources include Google,, Open Street Map, the U.S. Census, Localeze, and places added by the Walk Score user community." 
Walkscores map:  Source: WPRDC 

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