QUESTION $11$:

You are given movie rating data. The whole data is given in three tables. Table $1$ is for rating score. In this table, rating score by a user to a movie is given. In the second table, user information is given. In the third table, movie information is given. Merge these three tables into one table based on $SQL$ inner join method $($or pandas.merge function with how$=$inner option$).$ Show the merged table as the answer. Note that you don't have to write any code. Just print what would be result if you merge these table using a software.

Rating Table

$\backslash$table$[[$Rating$,$User Id$,$Movie ID$],[3,105,2],[5,203,20],[4,105,10],[2,109,10],[4,102,1],[1,105,20],[3,203,40]]$

$\backslash$table$[[$User Table$],[$User Id$,$Age,Occupation,Gender$],[102,30,$renci$,$Kad$$n$],[105,25,$retmen$,$Erkek$],[203,40,$Doktor,Kad$$n$]]$

$\backslash$table$[[$Movie Table,,$],[$Movie ID$,\backslash$table$[[$Movie$],[$Name$]],\backslash$table$[[$Movie$],[$Genre$]]],[1,$Film$1,$Komedi$],[10,$Film$2,$Korku$]]$