Continuous data cleaning

- [Instructor] Previously we talked about … how exploratory data analysis will inform our data cleaning. … In this lesson we'll take … what we learned in the last two lessons, … and actually implement some of the necessary cleaning. … So lets start by importing our data, … and then we discussed in the last lesson … how passenger ID doesn't really factor into … whether somebody survived or not in any way. … So we're going to go ahead and drop this feature in place … just like we did in the previous section. … So we do that by calling … the drop feature on the titanic data set, … we tell it to drop passenger ID. … We pass in axis=1, … and that tells it to drop the column … instead of trying to drop rows. … And lastly we'll pass in this inplace=True, … which tells pandas to alter … the titanic data set as it stands now, … instead of trying to create a new data frame. … So we'll run that, and you can see that this passenger ID … is no longer in our data frame. … Now in the last lesson, … we learned that age has some missing values. …