DATA ANALYSIS FOR CLIMATE CHANGE

Absalom Carlisle
Statisticians and data scientists alike 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

Absalom Carlisle