Computers and Technology, 05.05.2020 16:08 lanipooh01

Read the data file to a data frame ss16wa, and only retain columns "PWGTP", "AGEP", "WAGP", "VALP", "WKHP", "CIT", "ACCESS". (2) Remove from ss16wa all rows with NA values. (3) Remove from ss16wa all rows where "PWGTP" is greater than 700. (4) Remove from ss16wa all rows where "AGEP" is greater than 87. (5) Remove from ss16wa all rows where "VALP" is less than 2000. (6) Print the dimensions of ss16wa. Hint: they should be 25820 by 7.

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Read the data file to a data frame ss16wa, and only retain columns "PWGTP", "AGEP", "WAGP", "VALP",...

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