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Spatio-Temporal-Crime-Analysis-Time-Series-NYC

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This project gives an overview of crime time analysis in New York City . We have created Python Jupyter notebooks for spatial analysis of different crime types in the city using Pandas, Numpy, Plotly and Leaflet packages. As a second part to this analysis, we worked on ARIMA model on R for predicting the crime counts across various localities in the city based on correlations of various demographics correlation in each locality.

Creat2018-06-12T11:55:24
Update2024-11-13T23:59:06
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