This is python intermediate data programing using seaborn and pandas.

Task: Plot for min degree percentage over time for a given racial category

Write a function plot$\_$race$\_$compare$\_$min$\_$degree that takes the educational attainment data and a string category and returns the result of calling the sns plotting function that best visualizes this data. The resulting plot should compare each of the $4$ Min degree options, indicating the percentage of educational attainment for the given racial category, sex A$,$ and given Min degree over the entire time range of available data. Due to missing data, not all min degree options will stretch the entire width of the plot. Label the x$-$axis "Year", the y$-$axis "Percentage", and title the plot "Min degree for Hispanic" $($if using Hispanic as the racial category$).$ This uses pandas and seaborn