diff --git a/Kaggle-Adverse_Food_Events/Kaggle-Adverse_Food_Events.py b/Kaggle-Adverse_Food_Events/Kaggle-Adverse_Food_Events.py
index 33f713b..5ff528f 100644
--- a/Kaggle-Adverse_Food_Events/Kaggle-Adverse_Food_Events.py
+++ b/Kaggle-Adverse_Food_Events/Kaggle-Adverse_Food_Events.py
@@ -29,4 +29,16 @@
         industry_counts[industry_counts_gt_200])
 plt.title('Industry with Greater Than 200 Counts')
 plt.xticks(rotation = 'vertical')
-plt.show()
\ No newline at end of file
+plt.show()
+
+print('\n--- Industry with most AE ---\n' + \
+      industry[np.argmax(industry_counts)])
+
+product, product_counts = np.unique(df['PRI_Reported Brand/Product Name'],
+                                    return_counts = True)
+top_products = [[product_counts[i], product[i]] for i in range(len(product))]
+
+print('\n--- Top 10 Products with Most AE ---' + \
+      '\n-Note: number 1 product is Redacted-')
+[print(i) for i in sorted(top_products, reverse = True)[1:11]]
+#      str(sorted(top_products, reverse = True)[1:11]))
\ No newline at end of file
diff --git a/Kaggle-US_Healthcare_Data/Kaggle-US_Healthcare_Data.py b/Kaggle-US_Healthcare_Data/Kaggle-US_Healthcare_Data.py
index cb43a87..5e6868c 100644
--- a/Kaggle-US_Healthcare_Data/Kaggle-US_Healthcare_Data.py
+++ b/Kaggle-US_Healthcare_Data/Kaggle-US_Healthcare_Data.py
@@ -6,3 +6,7 @@
 @author: Jake
 """
 
+import numpy as np
+import pandas as pd
+
+df = pd.read_csv('Nutritions_US.csv', encoding = 'cp1252')
\ No newline at end of file