Add stats to README.md

Author: zeddo123

README.md

@@ -2,6 +2,17 @@
 `csvcat` is a very fast csv files compiler (with filtering) written in Go. Using concurrency, `csvcat` can concat and filter 
 a huge number of files without loosing to much in terms of memeroy and processing time.
 
+Using a dummy dataset generated from `generate_set.py` with `100` files that have each `100000` lines (around 1.4G) in concurrent and non-concurrent
+modes to filter 5 columns out of 10, cvscat take around (on an i7-7820HQ (8)):
+```sh 
+$ ./csvcat --columns "B,A,E,C,F" --delimiter "," --directory "csvset" --concurrency=true
+Number of files found: 100
+============ Total 3.933102857s ===================
+$ ./csvcat --columns "B,A,E,C,F" --delimiter "," --directory "csvset" --concurrency=false
+Number of files found: 100
+============ Total 10.588019261s ===================
+```
+
 ## Usage of `csvcat`
 ```
 Usage of ./csvcat:
@@ -24,7 +35,7 @@ Here's an example of how you might run `csvcat` with its flags:
 ./csvcat --batch 20 --columns "A,B,C" --delimiter "," --directory files
 ```
 
-`csvcat` expects every csv file to have a header in it's first line where all the columns are labled so that
+`csvcat` expects every csv file to have a header in its first line where all the columns are labled so that
 it can filter the correct columns. If the csv file is not correctly formated (some lines have more/less columns),
 it will try to add an empty column in the correct location.