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Now we will look into the training data and analyze it. The attributes have the following meaning:
Use the head() function to take a peek at the top few rows of the training set:
<< your code comes here >>.head()
Let's get more info to see how much data is missing by using the info() function:
<< your code comes here >>.info()
How many columns have missing value?
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