/EnergyDataAnalysis

Application designed to use previous energy and S&P 500 data to predict future data.

Primary LanguagePython

EnergyDataAnalysis

Hack Harvard 2017 project designed to use previous energy data to predict future CO2 emissions. The program also uses S&P 500 data in order to draw conclusions between the economy and different emissions outputs.

Plotted Data

Energy Data Comparison

Conclusion

  1. Total Energy emmisions don't appear to be decreasing at a rapid enough rate to be considered a trend
  2. In the past, CO2 emmisions have gernally correlated with S&P 500.
  3. While coal used to be very closely correlated with the S&P 500, after 2003, it now seems to be on a steep decline while the S&P index continues to increase.