diff --git a/Day2_Core_Data_Processing.md b/Day2_Core_Data_Processing.md
index 0f9303c..086d64e 100644
--- a/Day2_Core_Data_Processing.md
+++ b/Day2_Core_Data_Processing.md
@@ -46,3 +46,18 @@ Transform the raw data into structured, insightful information using Python’s
   reviews_df["sentiment_score"] = reviews_df["review_text"].apply(
       lambda text: sid.polarity_scores(text)["compound"]
   )
+
+
+
+### Aggregate sentiment data:
+
+sentiment_summary = reviews_df.groupby("product_id").agg(
+    avg_sentiment_score=("sentiment_score", "mean"),
+    num_reviews=("review_text", "count")
+).reset_index()
+
+
+### Merge with sales data:
+
+final_df = pd.merge(sales_summary, sentiment_summary, on="product_id", how="left")
+return json.loads(final_df.to_json(orient="records"))
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