diff --git a/correlation.png b/correlation.png
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diff --git a/plot.py b/plot.py
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+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+import scipy.stats 
+
+df = pd.read_csv("istherecorrelation.csv", sep=";", decimal=",")
+
+r, p = scipy.stats.pearsonr(df["WO [x1000]"], df["NL Beer consumption [x1000 hectoliter]"])
+print(f"The correlation is r = {r:.2f} with p = {p:.2f}")
+
+sns.regplot(x="WO [x1000]", y="NL Beer consumption [x1000 hectoliter]", data=df, scatter_kws={"alpha":0.7}, line_kws={"color":"orange"})
+
+plt.xlabel("WO")
+plt.ylabel("NL Beer consumption")
+plt.title("WO and NL Beer consumption")
+
+plt.grid(True)
+plt.savefig("correlation.png")
+plt.show()
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diff --git a/solution_.md b/solution_.md
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+Student Number: 14431394
+
+# 1. Title of the papers
+
+## 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:
+The neurocognitive effects of alcohol on adolescents and college students
+
+# 2. Plot
+![Correlation plot](correlation.png)
+
+## Interpretation:
+The plot displays a positive correlation between WO and beer consumption in the Netherlands. However, it is questionable whether this is association is representative of anything meaningful.
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