# Introduction In data analysis, it's often necessary to compare two or more DataFrames to identify similarities, differences and changes over time. This challenge will test your ability to manipulate, compare, and extract information from two Pandas DataFrames. You will be provided with two datasets representing sales data from a hypothetical company for two consecutive years. Both datasets have identical columns but different data entries. The columns include: - `Product_ID`: The ID of the product sold - `Product_Category`: The category of the product - `Units_Sold`: The number of units of the product sold - `Revenue`: The revenue generated from the product sales - `Quarter`: The quarter of the year in which the sales occurred You can use the dataset files `data1.csv` and `data2.csv` to test your code.
Click the virtual machine below to start practicing