Hands-on with Business Analytics

The Impact of Weather on Business Visits: An Analytical Approach

By dong liang, liu minglei, xu zexian, yu jianmin

During this project, we try to perform analytics on the significance of impacts that various types of weather have on the business check-in of various types of physical stores located at New York City. We have acquired datasets of business checkin as well as daily weather from Foursquare, Yelp and NOAA. By analyzing the data, we try to differentiate the significance level of different types of weather (Sunny, Drizzle, Heavy rain, Snow, Fog etc.) impacts on various business types such as Bars, Coffee shop, American Restaurants, Gyms and so on. Furthermore, we also perform a causal analysis on the case of Hurricane Sandy, which unexpectedly occurred on Oct 28-29, 2012 and had a major impact on the region of New York City. We try to apply Difference-in-difference model to analyze the causal relationship between the storm and the business visits of physical stores in New York City.

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