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Introduction to Python for MATLAB Users

Challenge 1: Sales Data Analysis

Explore how to analyze sales data using Python by loading datasets with pandas, performing data manipulation and calculations, defining performance metrics, and visualizing results through various plots.

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In this exercise, use the pandas and Matplotlib libraries to analyze sales data from a CSV file. You’ll perform the following tasks.

Task 1: Load the dataset

Load the data into a pandas DataFrame using the pd.read_csv function and store it in a variable called sales_data. The file name is Sales-Data.csv. Display the first five rows of the data at the end.

Python 3.10.4

Task 2: Plot the data

Create a bar plot showing total sales for each product. Use the groupby and sum functions from pandas to calculate the total sales.

Python 3.10.4

Task 3: Manipulate the data

Create a new column in sales_data called Profit Margin that contains the calculated profit margin values using the formula:

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