Works for me on some simple test data.

```
julia> using CSV
julia> d = CSV.read("benchmarkdata.csv", header=false)
10Γ3 DataFrames.DataFrame
β Row β Column1 β Column2 β Column3 β
βββββββΌββββββββββΌββββββββββββββββββββββΌβββββββββββ€
β 1 β c β iteration_pi_sum β 27.369 β
β 2 β c β matrix_multiply β 72.068 β
β 3 β c β matrix_statistics β 4.52399 β
β 4 β c β parse_integers β 0.099092 β
β 5 β c β print_to_file β 9.93013 β
β 6 β c β recursion_fibonacci β 0.022726 β
β 7 β c β recursion_quicksort β 0.258923 β
β 8 β c β userfunc_mandelbrot β 0.07669 β
β 9 β fortran β iteration_pi_sum β 27.3692 β
β 10 β fortran β matrix_multiply β 83.5437 β
julia> versioninfo()
Julia Version 0.6.4
Commit 9d11f62bcb (2018-07-09 19:09 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Core(TM) i7-3960X CPU @ 3.30GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Sandybridge MAX_THREADS=16)
LAPACK: libopenblas64_
LIBM: libopenlibm
LLVM: libLLVM-3.9.1 (ORCJIT, sandybridge)
```

```
gibson@sophist$ cat benchmarkdata.csv
c,iteration_pi_sum,27.369022
c,matrix_multiply,72.067976
c,matrix_statistics,4.523993
c,parse_integers,0.099092
c,print_to_file,9.930134
c,recursion_fibonacci,0.022726
c,recursion_quicksort,0.258923
c,userfunc_mandelbrot,0.07669
fortran,iteration_pi_sum,27.369179
fortran,matrix_multiply,83.543703
```

You should post exactly what you tried in Julia and the resulting error message or incorrect output. Use triple backticks to quote the code blocks.