diff --git a/correlation.png b/correlation.png
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diff --git a/correlation.py b/correlation.py
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+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+
+db = pd.read_csv("istherecorrelation.csv", sep=';')
+
+
+fig, ax = plt.subplots(dpi=300)
+ax.plot(db['WO [x1000]'], db['NL Beer consumption [x1000 hectoliter]'])
+
+ax.set(xlabel='WO [x1000]', ylabel='NL Beer consumption [x1000 hectoliter]',
+       title='WO vs Beer consumption in the Netherlands')
+for item in ([ax.title, ax.xaxis.label, ax.yaxis.label] +
+             ax.get_xticklabels() + ax.get_yticklabels()):
+    item.set_fontsize(6)
+ax.grid()
+
+fig.savefig("correlation.png")
+plt.show()
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diff --git a/solution_.md b/solution_.md
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+# Titles
+
+1. MCC Van Dyke et al. (which one? :) )
+- Fantastic yeasts and where to find them: the hidden diversity of dimorphic fungal pathogens
+- The rise of coccidioides: forces against the dust devil unleashed
+
+2. JT Harvey, Applied Ergonomics, 2002
+- An analysis of the forces required to drag sheep over various surfaces
+
+3. DW Ziegler et al., 2005
+- Correlation of continuous cardiac output measured by a pulmonary artery catheter versus impedance cardiography in ventilated patients
+
+# Correlation
+
+As visible in the image below, there is slight correlation between WO and Dutch beer consumption, as both values increase simultaneously.
+
+![Correlation](correlation.png)
+
+However, the correlation is flimsy at best, as WO-values of 205-240 show no increase in beer consumption.