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1. To sort each component, use lapply:

   sorted <- lapply(x, sort, decreasing = TRUE)

2. To convert the tables to dataframes, use as.data.frame. This gives you a list of dataframes, then changes the names:

   df <- lapply(sorted, as.data.frame) names(df) <- paste0("df_", names(sorted))

   If you also want these as separate variables (which is probably not a good idea), you could use

   for (n in names(df)) assign(n, df[[n]])

3. To get the head of each element of the list, use lapply again:

   lapply(df, head)

   This gives output starting out as

   $df_brand Var1 Freq 1 Nissin 381 2 Nongshim 98 3 Maruchan 76 4 Mama 71 5 Paldo 66 6 Myojo 63

   $df_style Var1 Freq 1 Pack 1531 2 Bowl 481 3 Cup 450 4 Tray 108 5 Box 6 6 2

There are not only one way to make this work, but here is a simple one that matches how you're doing things:

C# code can be very simple, you don't need to declare interfaces explicitely, you don't need to use ref keyword everywhere, etc, but you do need to add a ComVisible(true) attribute to your classes (string, int, etc. are implicitely ComVisible):