Van Dyke, M. C. C., Teixeira, M. M., & Barker, B. M. (2019). Fantastic yeasts and where to find them: the hidden diversity of dimorphic fungal pathogens. Current opinion in microbiology, 52, 55-63.
Harvey, J. T., Culvenor, J., Payne, W., Cowley, S., Lawrance, M., Stuart, D., & Williams, R. (2002). An analysis of the forces required to drag sheep over various surfaces. Applied Ergonomics, 33(6), 523-531.
Bao, X., Mills, P. J., Rana, B. K., Dimsdale, J. E., Schork, N. J., Smith, D. W., ... & Ziegler, M. G. (2005). Interactive effects of common β2-adrenoceptor haplotypes and age on susceptibility to hypertension and receptor function. Hypertension, 46(2), 301-307.
import matplotlib.pyplot as plt
import pandas as pd
data=pd.read_csv(".../CS_Assignment-1-master/istherecorrelation.csv",sep=';')
plt.rcParams['figure.figsize'] = [10,10]
new_fig=plt.figure()
plt.subplot(2,1,1)
plt.plot(data.iloc[:,0],data.iloc[:,2])
plt.title('Beer consumption in the Nehterlands')
plt.xlabel('Year')
plt.ylabel('Beer (hectoliter)')
plt.subplot(2,1,2)
plt.plot(data.iloc[:,0],data.iloc[:,1])
plt.title('Beer consumption in the Nehterlands')
plt.xlabel('Year')
plt.ylabel('Wo')
plt.savefig('Beer_consumption_NL',dpi=600)
plt.show()
This graph shows a positive correlation of the beer consumption over the years. The upper graph shows an exponential increase whereas the bottom plot shows a linear correlation.