Replication Data for: Group 2 | BARI (Harvard, Northeastern): Expanding Administrative Urban Knowledge with R and Big Data: “Boston Property Assessments FY2018”

I. INTRODUCTION, AND IMPACT OF FINDINGS FOR FUTURE IMPLEMENTATION

Outcome: A quantitative ""data-story"" can be fully expressed in qualitative form as a means of expressing the interconnected nature of variables that contribute to a networked understanding to map the constantly evolving modern Urban Landscape.

Enhanced allocative, fiscal, political, and social decision making lead to almost immediate positive externalities in terms of the connected urban landscape. Constant constraints of many different forms force decision-makers to make impulsive, rushed, and consequently uninformed decisions that are based merely on presuppositions. Constant construction of pathways between seamlessly unrelated sets of information derived from the existing, historic, and quantifiable data types will bring urban decision makers solution-based and preventative vs. reactive competitive advantage . These *NEW* ""Measures"" that we have calculated and defined only be achieved through the expansion of PUBLIC access to unit-level, which is one of the purposes of publishing reproducible findings for this dataset.