diff --git a/pandas/script.py b/pandas/script.py
index 97208c8..1ef75ec 100644
--- a/pandas/script.py
+++ b/pandas/script.py
@@ -14,4 +14,20 @@
 
 pd.Series([30, 35, 40], index=['2015 Sales', '2016 Sales', '2017 Sales'], name='Product A')
 
+#We'll use the pd.read_csv() function to read the data into a DataFrame.
+wine_reviews = pd.read_csv("../input/wine-reviews/winemag-data-130k-v2.csv")
+
+#We can use the shape attribute to check how large the resulting DataFrame is:
+wine_reviews.shape
+
+#Output
+(129971, 14)
+
+#We can examine the contents of the resultant DataFrame using the head() command, which grabs the first five rows:
+wine_reviews.head()
+
+#You can see in this dataset that the CSV file has a built-in index, which pandas did not pick up on automatically. To make pandas use that column for the index (instead of creating a new one from scratch), we can specify an index_col.
+wine_reviews = pd.read_csv("../input/wine-reviews/winemag-data-130k-v2.csv", index_col=0)
+
+