Thanks for the useful lecture

cls_assignment.py

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+import matplotlib.pyplot as plt
+import pandas as pd
+
+data = pd.read_csv('/Users/filippos/Documents/istherecorrelation.csv', delimiter=',')
+print (data)
+
+fig,ax = plt.subplots()
+
+Graph = ax.plot(data["Year"],data['NL Beer consumption [x1000 hectoliter]'],color='red',label='Beer Consumption')
+ax2=ax.twinx()
+WO = ax2.plot(data["Year"],data['WO [x1000]'],color='blue',label='WO Students')
+ax.set_xlabel("Year")
+ax.set_ylabel("NL Beer Consumption [x1000 hectoliter]")
+ax2.set_ylabel("WO [x1000]")
+ax.set_title("Correlation possible?")
+
+legend = WO+Graph
+label = [l.get_label() for l in legend]
+ax.legend(legend, label, loc=0)
+
+
+ax.grid()
+fig.savefig('Correlation.png',format='jpg',dpi=300)
+plt.show()

solution_md.md

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+# CLS_Seminars Assignment 
+by Filippos Dimopoulos, UvA_ID: 14101882
+
+
+## Papers pivotal to our knowledge
+
+* Fantastic yeasts and where to find them: the hidden diversity of dimorphic fungal pathogens [1](https://www.sciencedirect.com/science/article/pii/S136952741930013X)
+* An analysis of the forces required to drag sheep over various surfaces. [2](https://www.sciencedirect.com/science/article/pii/S0003687002000716) 
+* The neurocognitive effects of alcohol on adolescents and college students [3](https://pubmed.ncbi.nlm.nih.gov/15530577/) 
+
+As we can see from the plot, there is a clear correlation between the WO Students and beer consumption over the years. 
+There is a clear reason tho why these students drink these immense amounts. They need to drink these beers to deal with the errors when coding. 
+[Correlation](https://github.com/filipposdim/CS_Assignment/blob/master/Correlation.png)