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Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
In response to the widespread of COVID-19, citizens sought information and support from their city governance through the 311 non-emergency service request system. Our analysis showed that the pandemic has led to a considerable decline in the aggregate number of 311 calls in Kansas City; however, “Public Safety”, “Public Health”, “Trash/Recyclin…