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data visualization
ESI Director Jonathan Tannen simulated his predictions for the outcomes of the 2017 Philadelphia Primary Election in Present Value last week. Now the results are in. Below are the maps Jonathan generated once the votes were tallied. Thank you to those who joined us the night of the election, both live and in the Twittersphere! At […]
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The two first posts in our Step-by-Step series demonstrated how ESI uses R for data manipulation and graphing and ESRI to map the economics and demographics of a select geographic area. This third installment will show you how we use CARTO, a GIS and web mapping tool. Mapping with CARTO Builder Digital mapping is a powerful medium that can quickly […]
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Demonstrating the Banking Industry’s Affects on Communities ESI Senior Vice President Lee Huang’s op-ed, How Neighborhoods Could Lose if Trump Succeeds in Rolling Back Bank Reforms, published in Next City demonstrates how reduced access to data could be detrimental to communities across the nation. He makes the case for the transparency and accountability derived from Dodd-Frank as […]
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The first edition of the Step-by-Step series demonstrated how ESI uses R for data manipulation and graphing. This step in the series will show you one for economic analyses and forecasts. ESRI Business Analyst is an extremely powerful tool that allows us to gather data on geographical areas such as demographics, lifestyle choices and consumer expenditures. To demonstrate the usefulness […]
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Elections can be challenging to model. Philadelphia, in a Democratic primary, has 66 wards, over 100 candidates, and thousands of issues. And wards, candidates, and issues don’t exactly wear signs that declare what “type” they are. We broadly talk about “party” candidates, “reform” candidates, “machine” candidates, but how can we identify them, and know that those […]
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