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))
Standard Deviation: 0.345