Cluster the data with the energy use intensity (EUI) and apply a geospatial distance map to see how energy star certification has impacted various City neighborhoods. Also, producing a time series analysis beginning from a certain year when energy star certification for buildings have been issued to see if low winter and high summer summer temperatures make a difference in EUI. Another area to be studied is to measure the impact on buildings’ total green house gas emissions and the future GHG trend. ARIMA can be used to make predictions and estimate GHG emissions from the above and below median energy star buildings. Initially this study aimed to do data analysis for LEED certified building. Due to insufficient information provided on the data released from the USGBC, the study changed course to energy star rated building found in the benchmark CSV data. These CSV files may be combined with LEED building data to measure the combined impact of the energy certifications compared to those that don't have any certification or have one of the certifications.