update doc

Author: sl-solution

docs/src/man/filter.md

@@ -348,6 +348,19 @@ julia> _tmp = Dataset(vals = vals)
    4 │     0.4
 
 julia> antijoin!(ds1, _tmp, on = :y=>:vals)
+2×2 Dataset
+ Row │ x         y        
+     │ identity  identity
+     │ Int64?    Float64?
+─────┼────────────────────
+   1 │        7       0.2
+   2 │        4       0.3
+
+julia> ; Since vals is a vector we can directly use filter
+
+julia> ds1 = Dataset(x = [1,7,4,5], y = [.1,.2,.3,.4]);
+
+julia> filter!(ds1, :y, by = !in(Set(vals)))
 2×2 Dataset
  Row │ x         y        
      │ identity  identity

docs/src/man/sorting.md

@@ -376,8 +376,8 @@ julia> ds = Dataset(x = rand(10^6))
 in this case we cannot use the round trick directly, however, we can create an alias of `:x` and partially apply `round` trick on alias column and sort the data set based on both columns,
 
 ```jldoctest
-julia> fmt(x) = round(Int, x*100) # this split data up to 100 parts
-julia> ds._tmp = ds.x # alias of :x - it is an instance operation
+julia> fmt(x) = round(Int, x*100) # split data up to 100 parts
+julia> ds._tmp = ds.x # alias of :x - This is an instance operation
 julia> setformat!(ds, :_tmp=>fmt)
 julia> @btime sortperm(ds, [:x], alg = QuickSort); # without using formats
   36.460 ms (508 allocations: 29.60 MiB)