Please answer Q3 using R language in as fewer steps as possible

If you choose to use Python, you will have to use R to save the data and then read into Python. Using Lahman MLB data in R, list the top 5 teams since 2000 with the largest stolen bases per at bat ratio: library(Lahman) head(Batting) > library(Lahman) + head(Batting) + playerID yearID stint teamID IgID G AB R H X2B X3B HR RBI SB CS BB SO 1 abercda01 1871 1 TRO NA 1 4 0 0 0 0 0 0 0 0 0 0 2 addybo01 1871 1 RC1 NA 25 118 30 32 6 0 0 13 8 1 4 0 3 allisar01 1871 1 CL1 NA 29 137 28 40 4 5 0 19 3 1 2 5 4 allisdo01 1871 1 WS3 NA 27 133 28 44 10 2 2 27 1 1 0 2 5 ansonca01 1871 1 RC1 NA 25 120 29 39 11 3 0 16 6 2 2 6 armstbo01 1871 1 FW1 NA 12 49 9 11 2 1 0 5 0 1 0 1 IBB HBP SH SF GIDP 1 NA NA NA NA NA 2 NA NA NA NA NA 3 NA NA NA NA NA 4 NA NA NA NA NA 5 NA NA NA NA NA 6 NA NA NA NA NA where each row represents the yearly statistics for a player on a team in a year. Here, G= games played by the player, AB= at bats. Using this same Batting data, plot the yearly SB.Per AB rate. This will be computed over the entire year rather than per team-year as above. Same plot but color each plot by IgID (LeagueID). For this problem we only care about NL and AL, everything else can be filtered out