Data Science Jumpstart with 10 Projects Transcripts
Chapter: Project 5: Cleaning Heart Disease Data in Pandas
Lecture: Fixing the Age Column Type to Int8
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I'm going to start going through the columns. We'll start off with the age column. So here's our data frame. You can see age is
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in that first column there. Let's do a describe on that. It looks like we are going from 28 to 77. That looks okay. Let's do a histogram
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to understand what's going on there. Seems perfectly plausible. Let's look at the D type of that. The D type is a double pie arrow.
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Let's see if we can get away with casting it to an int8. Pie arrow will complain if this doesn't work. It looks like that does work.
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I think I'm pretty good here leaving this as an int8 and I don't have much more to do with this column.