Data Analysis for Climate Change

Statisticians and data scientists alike Absalom Carlisle use basic analytical concepts to make credible inferences from their data.

columns: Date (year and month) and Monthly Anomaly in Celcius. The datapoints range from January 1850 to December 2014

First four variables: Mean, standard deviation, quantiles, and variance.

print(‘Mean: ‘ ,round(df.Monthly_Anom.mean(),3))

print(‘Variance: ‘, round(df.Monthly_Anom.var(),3))

print(‘Standard Deviation: ‘, round(df.Monthly_Anom.std(),3))

Mean: -0.093

Variance: 0.119

Standard Deviation: 0.345