Coding Challenge on Handling Outliers

Assess your ability to handle outliers using Python.

We'll cover the following

Dataset description

We will work with the product.csv dataset, which includes information about various products sold in a certain year and month. Each record represents a different product, and each column in the dataset represents specific product information. Here's a description of each column:

  • Product ID: The unique identification number for the product.

  • Year: The year the product was sold.

  • Month: The month the product was sold.

  • Day: The day the product was sold.

  • Sales: The number of units sold for the product on that day.

  • Profit: The profit generated from the product sale on that day.

  • Inventory: The number of units of the product available in the inventory on that day.

Challenge 1: Find outliers

We've already imported the pandas library. Write code to find outliers in the products.csv dataset using the IQR method. Save the final dataset without outliers in the outliers_df DataFrame.

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