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SUMMARY:Exploring and Mapping NYC's Building Energy Data Through Programming
DESCRIPTION:This event is part of NYC Open Data Week 2022. \nWe’ve all seen the energy grades posted at the entrances of large buildings in New York City. But how does one building compare to its neighbor\, or to buildings in other parts of the city? And how is the city doing overall? Are grades improving from year to year? Do newer buildings outperform older ones? Are there any interesting stories buried in the data? \nThis workshop will teach you mapmaking through programming — Python will be our language of choice\, and we will introduce powerful packages like Pandas\, Geopandas and Altair to explore geographic data. Our final product will be a Colab Notebook (similar to a Jupyter Notebook) with maps and graphs exploring the distribution of energy grades from 2020 and 2021 across the city and highlighting specific investigative leads. \nThis session will be led by Juan Francisco Saldarriaga\, Senior Data & Design Researcher at the Brown Institute for Media Innovation at Columbia University’s School of Journalism. \nNo prior programming experience is required. \nRegister to Attend
URL:https://brown.columbia.edu/event/exploring-and-mapping-nycs-building-energy-data-through-programming/
LOCATION:Virtual
CATEGORIES:Trainings
ATTACH;FMTTYPE=image/png:https://brown.columbia.edu/wp-content/uploads/2022/02/nycOpenDataImage.png
ORGANIZER;CN="Brown Institute @ Columbia":MAILTO:browninstitute@columbia.edu
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