It can help you ask better questions and confirm or deny biases you may hold. In many cases, data disaggregation is not only a problem-solving process, but also a problem-finding process. This breakdown, or disaggregation, of existing data, reveals significantly more valuable insights into your community. It is much more useful to have a breakdown of trash recycling at the neighborhood level to find the areas of the city where they need to target their efforts to encourage citizens to recycle more. However, also knowing that in certain neighborhoods within Stamford, upwards of 60% of the trash is recycled, while in others it’s 5–10%, is probably a lot more beneficial. Often these statistics are aggregated up and reported using only descriptive statistics, presenting only a summary or a high level description.įor example, knowing that 28% of the trash in the city of Stamford, CT is recycled is potentially useful information. One of the ways to reveal insight about your community is data disaggregation, which gives you the ability to gain more meaningful information from data you already have.ĭisaggregation is the breakdown of observations, usually within a common branch of a hierarchy, to a more detailed level or subgroup. It enables them to make better decisions to some of the most significant challenges facing urban areas, such as traffic, infrastructure, and pollution. Like my colleague Brian Parr discussed in his excellent blog post a few weeks ago:Ī common task while working with spatial data is to summarize data for custom boundaries at different levels of geography.įor urban planners, architects and city managers, the promise of being able to look at data reported and summarized for custom boundaries offers unprecedented access to information. Our approach in doing that has been to work on building a product that helps save time while working on analyzing a project area, reveal insights that may not have been apparent, and help you improve communication with all relevant stakeholders. In Hidden in Plain Sight, Leff's essays and photographs take us on a point-by-point journey, revealing the rich stories behind many of Connecticut's overlooked landmarks, from the Merritt Parkway and Cornwall's Cathedral Pines to roadside rock art and centuries-old milestones.While building the data product at mySidewalk, we’ve spent a lot of time thinking and working on how to best help make communities easier to understand. Over his many years working at the Connecticut Department of Environmental Protection and writing about the state's landscape, Leff gained unparalleled intimacy while traveling its byways and back roads. By learning to see the magic in the mundane, we not only enrich daily life with a sense of place, we are more likely to protect and make those places better. Instead, the commonplace elements become the most important. But the "deep traveler," according to Hartford Courant essayist David K. In the course of the mundane routines of life, we encounter a variety of landscapes and objects, either ignoring them or looking without interest at what appears to be just a tree, stone, anonymous building, or dirt road. The art of discovering cultural and natural treasures in everyday landscapes
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