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Question 1 In addressing this question try to consider the following: What type of data do you have in the dataset? (Numerical or string, dummy/categorical

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Question 1

In addressing this question try to consider the following:

  • What type of data do you have in the dataset? (Numerical or string, dummy/categorical or continuous)
  • How many variables do you have? What are the types of variables you have?
  • Are there variables containing missing observations? How do you handle the missing information? Could it be a problem if we have missing observations?
  • Is there any variable that is important in explaining the determinants of academic achievement and career prospects of students but is missing in the data? Explain your answer.
  • Overall, how would you regard the quality of your data?
OOOOOOOOOOOOOOOOOOOOOOOOOOOO T OOOOOOOOOOOO ODGOHOO & OOO Z OOOOOOOOOOOOOHO O OOOOOOOOOOOOOOOO #M 229 :: N wo u 1 OOOOOOOOOOOOOOOOOOOOOOOOOOOO T OOOOOOOOOOOO ODGOHOO & OOO Z OOOOOOOOOOOOOHO O OOOOOOOOOOOOOOOO #M 229 :: N wo u 1

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