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Extract the education column and store it to census_ed _ Extract all the columns from age to relationship and store it in census_seo. Extract the

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Extract the "education" column and store it to "census_ed" _ Extract all the columns from "age" to \"relationship\" and store it in \"census_seo". Extract the column number \"5", ""8 "11" and store it in \"census_col". Extract all the male employees who work in State-90V and store it in "male_gov". Extract all the 39 year olds who either have a bachelor's degree or who are native of United States and store the result in \"census_us\". Extract 20E} random rows from the \"census\" data frame and store it in \"census_2tl"_ Get the count of different levels of the \"workclass\" column. Calculate the mean of "capitalgain" column grouped according to \"workclass'\

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