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+## Question 1
+Titles of papars that are *pivotal* to our knowledge:
+ - MCC Van Dyke et al., 2019, Fantastic yeasts and where to find them: the hidden diversity of dimorphic fungal pathogens.
+ - JT Harvey, Applied Ergonomics, 2002. An analysis of the forces required to drag sheep over various surfaces.
+ - DW Ziegler et al., 2005, Reading Acquisition, Developmental Dyslexia, and Skilled Reading Across Languages: A Psycholinguistic Grain Size Theory.
+
+## Question 2
+Here we look at the data from *istherecorrelation.csv*. Below is given a scatter plot of the data, from which it appears that there is some positive correlation between the two variables. We can do further analysis by calculating the *Spearman correlation* for this data set which gives a value of 0.8 with a  *p*-value of 0.001. This makes sense, judging from the plot there appears to be a clear positive relation between beer consumption in the Netherlands and *WO*. Although it should be noted that the plot is a bit deceiving because of the scale of the *y*-axis. So perhaps some further research is needed to make an actual statement about this data.
+![alt text](plot.png)
+
+## Appendix A - Python code
+```
+import matplotlib.pyplot as plt
+import csv
+
+WO, beer = [], []
+
+with open('istherecorrelation.csv', 'r') as file:
+    file = csv.reader(file, delimiter=';')
+    next(file)
+    for row in file:
+        temp = row[1].replace(',', '.')
+        WO.append(float(temp))
+        beer.append(float(row[2]))
+
+plt.figure()
+plt.xlabel('WO (x1000)')
+plt.ylabel('NL beer consumption (x1000 hectoliter)')
+plt.plot(WO, beer, marker='o', ls='')
+plt.savefig('plot.png', dpi=300)
+```
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