In this chapter, we take a tour of some topics that are necessary to develop expertise in using pandas. Knowledge of these topics is very useful for the preparation of data as input for programs or code that process data for analysis, prediction, or visualization. The topics that we'll discuss are as follows:
By the end of this chapter the user should be proficient in these critical areas.
Missing data refers to data points that show up as NULL or N/A in our datasets for some reason; for example, we may have a time series that spans all calendar days of the month that shows the closing ...