Write the Python code to calculate the major that admitted the fewest students and leave a...
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Write the Python code to calculate the major that admitted the fewest students and leave a single row of that major as the only row in the DataFrame df_applicants. Your solution must include only a single row for the major that admitted fewest students. That row must contain a Major variable (column). You can create extra columns if needed -- only Major will be graded. Dataset This problem uses the admission records from UC-Berkeley's graduate program in Fall 1973. This classical dataset has already been loaded into a variable df for you and contains the following variables (columns): • Year (number), A four digit year, ex: 1973 • Major (string), A major code, one of: "A", "B", "C", "D", "E", "F", or "Other" • Gender (string), The applicant self-identified gender, one of: "M" or "F" Admission (string), The admissions decision, one of: "Accepted" or "Rejected" Write the Python code to calculate the major that admitted the fewest students and leave a single row of that major as the only row in the DataFrame df_applicants. Your solution must include only a single row for the major that admitted fewest students. That row must contain a Major variable (column). You can create extra columns if needed -- only Major will be graded. Dataset This problem uses the admission records from UC-Berkeley's graduate program in Fall 1973. This classical dataset has already been loaded into a variable df for you and contains the following variables (columns): • Year (number), A four digit year, ex: 1973 • Major (string), A major code, one of: "A", "B", "C", "D", "E", "F", or "Other" • Gender (string), The applicant self-identified gender, one of: "M" or "F" Admission (string), The admissions decision, one of: "Accepted" or "Rejected"
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This code first filters the DataFrame to include only Accepted admissions then counts the number of ... View the full answer
Related Book For
Income Tax Fundamentals 2013
ISBN: 9781285586618
31st Edition
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
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