diff --git a/docs/make.jl b/docs/make.jl
index 3402bf5..166a527 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -1,9 +1,9 @@
 using Documenter, ExcelFiles
 
 makedocs(modules=[ExcelFiles],
-	sitename="ExcelFiles.jl",
-	analytics="UA-132838790-1",
-	pages=[
+    sitename="ExcelFiles.jl",
+    analytics="UA-132838790-1",
+    pages=[
         "Introduction" => "index.md"
     ])
 
diff --git a/src/ExcelFiles.jl b/src/ExcelFiles.jl
index 9b7eb6a..0217653 100644
--- a/src/ExcelFiles.jl
+++ b/src/ExcelFiles.jl
@@ -62,7 +62,7 @@ function _readxl(file::ExcelReaders.ExcelFile, sheetname::AbstractString, startr
 
             # This somewhat complicated conditional makes sure that column names
             # that are integer numbers end up without an extra ".0" as their name
-            colnames = [isa(i, AbstractFloat) ? ( modf(i)[1] == 0.0 ? Symbol(Int(i)) : Symbol(string(i)) ) : Symbol(i) for i in vec(headervec)]
+            colnames = [isa(i, AbstractFloat) ? (modf(i)[1] == 0.0 ? Symbol(Int(i)) : Symbol(string(i))) : Symbol(i) for i in vec(headervec)]
         else
             colnames = gennames(ncol)
         end
@@ -74,9 +74,9 @@ function _readxl(file::ExcelReaders.ExcelFile, sheetname::AbstractString, startr
 
     for i = 1:ncol
         if header
-            vals = data[2:end,i]
+            vals = data[2:end, i]
         else
-            vals = data[:,i]
+            vals = data[:, i]
         end
 
         # Check whether all non-NA values in this column
diff --git a/test/runtests.jl b/test/runtests.jl
index d1d0372..ba9ec48 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -51,7 +51,7 @@ using Test
     end
 
     df, names = create_columns_from_iterabletable(load(filename, "Sheet1!C4:O7", header=false))
-    @test names == [:x1,:x2,:x3,:x4,:x5,:x6,:x7,:x8,:x9,:x10,:x11,:x12,:x13]
+    @test names == [:x1, :x2, :x3, :x4, :x5, :x6, :x7, :x8, :x9, :x10, :x11, :x12, :x13]
     @test length(df[1]) == 4
     @test length(df) == 13
     @test df[1] == [1., 1.5, 2., 2.5]
@@ -100,15 +100,15 @@ using Test
     @test DataValues.isna(df[12][4])
     @test df[13] == [NA, 3.4, "HKEJW", NA]
 
-# Test for saving DataFrame to XLSX
-    input = (Day = ["Nov. 27","Nov. 28","Nov. 29"], Highest = [78,79,75]) |> DataFrame
+    # Test for saving DataFrame to XLSX
+    input = (Day=["Nov. 27", "Nov. 28", "Nov. 29"], Highest=[78, 79, 75]) |> DataFrame
     file = save("file.xlsx", input)
     output = load("file.xlsx", "Sheet1") |> DataFrame
     @test input == output
     rm("file.xlsx")
 
-# Test for saving DataFrame to XLSX with sheetname keyword
-    input = (Day = ["Nov. 27","Nov. 28","Nov. 29"], Highest = [78,79,75]) |> DataFrame
+    # Test for saving DataFrame to XLSX with sheetname keyword
+    input = (Day=["Nov. 27", "Nov. 28", "Nov. 29"], Highest=[78, 79, 75]) |> DataFrame
     file = save("file.xlsx", input, sheetname="SheetName")
     output = load("file.xlsx", "SheetName") |> DataFrame
     @test input == output
@@ -138,10 +138,10 @@ using Test
     @test DataValues.isna(df[12][4])
     @test df[13] == [NA, 3.4, "HKEJW", NA]
 
-# Too few colnames
+    # Too few colnames
     @test_throws ErrorException create_columns_from_iterabletable(load(filename, "Sheet1!C4:O7", header=true, colnames=[:c1, :c2, :c3, :c4]))
 
-# Test for constructing DataFrame with empty header cell
+    # Test for constructing DataFrame with empty header cell
     data, names = create_columns_from_iterabletable(load(filename, "Sheet2!C5:E7"))
     @test names == [:Col1, :x1, :Col3]