diff --git a/main.py b/main.py
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+++ b/main.py
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+import matplotlib.pyplot as plt
+
+def main():
+
+    # Extract data from csv file using 'utf-8-sig' encoding, this removes
+    # the strange characters at the start of the csv.
+    # https://stackoverflow.com/questions/34399172/why-does-my-python-code-print-the-extra-characters-%C3%AF-when-reading-from-a-tex/34399309 
+    with open("istherecorrelation.csv", encoding="utf-8-sig") as f:
+        
+        header = f.readline().strip().split(";")
+
+        data = [row.strip().split(";") for row in f]
+
+    # Store each column in a seperate list and convert the data type
+    years = [int(row[0]) for row in data]
+    wo = [float(row[1].replace(",", ".")) for row in data]
+    beer_consumption = [float(row[2]) for row in data]
+
+    fig, ax = plt.subplots()
+    
+    ax.set_xlabel(header[0])
+
+    ax.plot(years, wo, '-ro', label=header[1])
+    ax.set_ylabel(header[1])
+
+    # Create a secondary y axis
+    ax2 = ax.twinx()
+    ax2.plot(years, beer_consumption, '-bo', label=header[2])
+    ax2.set_ylabel(header[2])
+    
+    fig.legend()
+
+    # Increase the figure size, such that the second yaxis label can be read
+    fig.set_size_inches(10, 6)
+
+    fig.savefig("plot.png", dpi=300)
+    plt.show()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/plot.png b/plot.png
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diff --git a/solution_.md b/solution_.md
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+# Solution
+Nick van Santen, 11857846
+
+The title of the three papers are:
+ - Fantastic yeasts and where to find them: the hidden diversity of dimorphic fungal pathogens
+ - An analysis of the forces required to drag sheep over various surfaces
+ - Correlation of continuous cardiac output measured by a pulmonary artery catheter versus impedance cardiography in ventilated patients
+
+The following plot shows the number of university students on one axis and the consumption of beer on the other axis. There appears to be a correlation between the two, however, the data on itself is not enough to directly relate the two data sets. 
+ ![plot of istherecorrelation.csv](plot.png)