diff --git a/Spreadsheet_Automation/PriceBook.xlsx b/Spreadsheet_Automation/PriceBook.xlsx
new file mode 100644
index 0000000000..fcdb7483d2
Binary files /dev/null and b/Spreadsheet_Automation/PriceBook.xlsx differ
diff --git a/Spreadsheet_Automation/Purchases - Home B.xlsx b/Spreadsheet_Automation/Purchases - Home B.xlsx
new file mode 100644
index 0000000000..6e210ded75
Binary files /dev/null and b/Spreadsheet_Automation/Purchases - Home B.xlsx differ
diff --git a/Spreadsheet_Automation/Readme.md b/Spreadsheet_Automation/Readme.md
new file mode 100644
index 0000000000..29404b3802
--- /dev/null
+++ b/Spreadsheet_Automation/Readme.md
@@ -0,0 +1,36 @@
+# <b>Spreadsheet Automation</b>
+
+[![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://forthebadge.com)
+
+## Spreadsheet Automation Functionalities : 🚀
+
+- First upload two datasets
+- The script will we compare the two datasets
+- The output will be a pie chart
+
+## Spreadsheet Automation Instructions: 👨🏻‍💻
+
+### Step 1:
+
+    Open Termnial 💻
+
+### Step 2:
+
+    Locate to the directory where python file is located 📂
+
+### Step 3:
+
+    Run the command: python script.py/python3 script.py 🧐
+
+### Step 4:
+
+    Sit back and Relax. Let the Script do the Job. ☕
+
+### Requirements
+
+    - pandas
+    - plotly
+
+## Author
+   
+   Amit Kumar Mishra
\ No newline at end of file
diff --git a/Spreadsheet_Automation/script.py b/Spreadsheet_Automation/script.py
new file mode 100644
index 0000000000..fce806ff0f
--- /dev/null
+++ b/Spreadsheet_Automation/script.py
@@ -0,0 +1,25 @@
+# importing libraries
+
+import pandas as pd
+import plotly.express as px
+
+# storing the dataset
+data1 = input("Enter first dataset")
+data2 = input("Enter second dataset")
+
+# reading the data
+data_read_1 = pd.read_excel(data1)
+data_read_2 = pd.read_excel(data2)
+
+#print​(df_prices, df_home_1)
+
+reference = input("What is the basis of merging? ")
+data_total = data_read_2.merge(data_read_1, on=reference)
+
+
+#print​(df_total)
+criteria_1=input("Enter criteria 1")
+criteria_2=input("Enter criteria 2")
+fig = px.pie(data_total[[criteria_1, criteria_2]], values=criteria_2, names=criteria_1)
+fig.show()
+