Added a pandas script for cleaning up csv.

organize_csv.py

@@ -0,0 +1,20 @@
+# Not sure how this will act on a number of machines.
+
+import pandas as pd
+
+df = pd.read_csv('results.csv')
+
+df = df.drop_duplicates()
+
+df = df.sort_values(by=['Worker ID', 'IP Address'])
+
+# Group by Worker ID, IP Address, Log File, and Error Type
+df['Error Count'] = 1
+df_grouped = df.groupby(['Worker ID', 'IP Address', 'Log File', 'Error Type'], as_index=False).agg({
+    'Error Message': 'first',
+    'Error Count': 'sum'
+})
+
+df_grouped.to_csv('cleaned_results_grouped.csv', index=False)
+
+print(df_grouped)