# Introduction The Pandas library is an essential tool for data manipulation and analysis in Python. It provides robust and versatile data structures, such as DataFrame and Series, to facilitate the management of large and complex datasets. One of the powerful functions in pandas is `pandas.where()`. This function is used to replace values where the condition is False. It is similar to using an `if-else` statement in Python, but it is more flexible and efficient when dealing with large datasets. In this challenge, you will put your pandas programming skills to the test by working with `pandas.where()`. This will involve manipulating data and creating complex functions. You have been given a dataset `sales_data.csv` of a company's sales history, containing details about products, customers, sales representatives, and sales numbers. Your task is to use `pandas.where()` to manipulate and analyze this data.
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