Hi, I'm having trouble answering this question below. Below the question is the Head of my dataset. thanks!

Requirement 7: (5 points) Are the imputed records the same as the non-imputed records? Select imputeAge, Gender and Descent. - Compare Gender for imputeAge (imputed vs non-imputed records). Would you consider the imputed records to be similar to non-imputed in regards to Gender? - Compare Descent for imputeAge (imputed vs non-imputed records). Would you consider the imputed records to be similar to non-imputed in regards to Descent? q20 = pd. read_sql_query( "SELECT Age, imputeAge, Gender, Descent From traffic", engine) df. head() Out [88] : \begin{tabular}{rrrrrrrrrrrrrrrrrrr} & DR_Number & Date & Division & Reporting_District & Age & Gender & Descent & Year & Month & Day & Hour & imputeAge & Latitude & Longitude \\ \hline 0 & 190319651 & 08/24/2019 & Southwest & 356 & 22 & Male & Hispanic & 2019 & 8 & 24 & 4 & False & 34.0255 & 118.3002 \\ 1 & 190319680 & 08/30/2019 & Southwest & 355 & 30 & Female & Hispanic & 2019 & 8 & 30 & 23 & False & 34.0256 & 118.3089 \\ 2 & 190413769 & 08/25/2019 & Hollenbeck & 422 & 40 & Male & Unknown & 2019 & 8 & 25 & 5 & True & 34.0738 & 118.2078 \\ 3 & 190127578 & 11/20/2019 & Central & 128 & 21 & Male & Hispanic & 2019 & 11 & 20 & 3 & False & 34.0492 & 118.2391 \\ 4 & 190319695 & 08/30/2019 & Southwest & 374 & 49 & Male & Black & 2019 & 8 & 30 & 21 & False & 34.0108 & 118.3182 \end{tabular}