Data cleansing and feature engineering

What might impact the performance of an offering as it begins trading? Perhaps the performance of the market in general or the prestige of the underwriters could impact it? Perhaps the day of the week or the month that it trades is important? The consideration and inclusion of these factors in a model is called feature engineering, and modeling this is nearly as important as the data that you use to build the model. If your features aren't informative, your model simply won't have value.

Let's begin this process by adding a few features that we expect may influence the performance of an IPO.

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