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Changing column data types
1. Introduction
Basic data cleaning


Hi and welcome to the second part of this course. Now, we will focus on preparing data for further analysis. The data we receive usually needs a bit of work before it can be analyzed. Sometimes the data just needs minor adjusting, but it may also contain some errors or redundant information. Today, we're going to learn about this aspect of working with data. Let's start!

Last month, our company organized a conference about mining on asteroids. Before and after the conference, we collected some information about survey participants. Let's look at it, starting with the data collected before the conference. That data is in memory under the name survey. Have a look.


Use the function head() on the survey data set.