[skip ci] Update README

README.md

@@ -17,13 +17,13 @@
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-A header only "csv" parser which is fast and versatile with modern C++ api. Requires compiler with C++17 support. [Can also be used to convert strings to specific types.](#the-converter)
+A header only CSV parser which is fast and versatile with modern C++ API. Requires compiler with C++17 support. [Can also be used to efficiently convert strings to specific types.](#the-converter)
 
 Conversion for floating point values invoked using [fast-float](https://github.com/fastfloat/fast_float) . \
 Function traits taken from *qt-creator* .
 
 # Example 
-Lets say we have a csv file containing students in a given format \<Id,Age,Grade\> and we want to parse and print all the valid values:
+Lets say we have a CSV file containing students in a given format \<Id,Age,Grade\> and we want to parse and print all the valid values:
 
 ```shell
 $ cat students.csv
@@ -58,7 +58,7 @@ Bill (Heath) Gates 65 3.3
  * Can work without exceptions
  * [Works with headers](#headers)
  * [Works with quotes, escapes and spacings](#setup)
- * [Works with csv data stored in buffers](#buffer-mode)
+ * [Works with CSV data stored in buffers](#buffer-mode)
  * [Works with values containing new lines](#multiline)
  * [Columns and rows can be ignored](#special-types)
  * [Works with any type of delimiter](#delimiter)
@@ -159,7 +159,7 @@ while (!p.eof()) {
 
 The alternate example with exceptions disabled will be used to show some of the features of the library. The **`get_next`** method returns a tuple of objects specified inside the template type list.
 
-If a conversion could not be applied, the method would return a tuple of default constructed objects, and the **`valid`** method would return **`false`**, for example if the third (grade) column in our csv could not be converted to a float the conversion would fail.
+If a conversion could not be applied, the method would return a tuple of default constructed objects, and the **`valid`** method would return **`false`**, for example if the third (grade) column in our CSV could not be converted to a float the conversion would fail.
 
 If **`get_next`** is called with a **`tuple`** as template parameter it would behave identically to passing the same tuple parameters to **`get_next`**:
 ```cpp
@@ -203,16 +203,16 @@ struct student {
     auto tied() { return std::tie(id, age, grade); }
 };
 ```
-The method can be used to compare the object, serialize it, deserialize it, etc. Now **`get_next`** can accept such a struct and deduce the types to which to convert the csv.
+The method can be used to compare the object, serialize it, deserialize it, etc. Now **`get_next`** can accept such a struct and deduce the types to which to convert the CSV.
 ```cpp
 // returns student
 auto s = p.get_next<student>();
 ```
 This works with the iteration loop too.
-*Note, the order in which the members of the tied method are returned must match the order of the elements in the csv*.
+*Note, the order in which the members of the tied method are returned must match the order of the elements in the CSV*.
 
 ## Buffer mode
-The parser also works with buffers containing csv data instead of files. To parse buffer data with the parser simply create it by passing it the buffer as a **`const char*`** which represents the buffer, and its size. The initial example using a buffer instead of a file would look like this:
+The parser also works with buffers containing CSV data instead of files. To parse buffer data with the parser simply create it by passing it the buffer as a **`const char*`** which represents the buffer, and its size. The initial example using a buffer instead of a file would look like this:
 ```cpp
 std::string buffer = "James Bailey,65,2.5\nBrian S. Wolfe,40,1.9\n";
 
@@ -255,7 +255,7 @@ Empty lines can be ignored by defining **`ss::ignore_empty`** within the setup p
 ```cpp
 ss::parser<ss::ignore_empty> p{file_name};
 ```
-If this setup option is not set then reading an empty line will result in an error (unless only one column is present within the csv).
+If this setup option is not set then reading an empty line will result in an error (unless only one column is present within the CSV).
 
 ### Quoting
 Quoting can be enabled by defining **`ss::quote`** within the setup parameters. A single character can be defined as the quoting character, for example to use **`"`** as a quoting character:
@@ -304,7 +304,7 @@ Escaping and quoting can be used to leave the space if needed.
 ```
 
 ### Multiline
-Multiline can be enabled by defining **`ss::multilne`** within the setup parameters. It enables the possibility to have the new line characters within rows. The new line character needs to be either escaped or within quotes so either **`ss::escape`** or **`ss::quote`** need to be enabled. There is a specific problem when using multiline, for example, if a row had an unterminated quote, the parser would assume it to be a new line within the row, so until another quote is found, it will treat it as one line which is fine usually, but it can cause the whole csv file to be treated as a single line by mistake. To prevent this **`ss::multiline_restricted`** can be used which accepts an unsigned number representing the maximum number of lines which can be allowed as a single multiline. Examples:
+Multiline can be enabled by defining **`ss::multilne`** within the setup parameters. It enables the possibility to have the new line characters within rows. The new line character needs to be either escaped or within quotes so either **`ss::escape`** or **`ss::quote`** need to be enabled. There is a specific problem when using multiline, for example, if a row had an unterminated quote, the parser would assume it to be a new line within the row, so until another quote is found, it will treat it as one line which is fine usually, but it can cause the whole CSV file to be treated as a single line by mistake. To prevent this **`ss::multiline_restricted`** can be used which accepts an unsigned number representing the maximum number of lines which can be allowed as a single multiline. Examples:
 
 ```cpp
 ss::parser<ss::multiline, ss::quote<'\"'>, ss::escape<'\\'>> p{file_name};
@@ -355,7 +355,7 @@ Gates 65 3.3'
 ```
 ## Special types
 
-Passing **`void`** makes the parser ignore a column. In the initial example **`void`** could be given as the second template parameter to ignore the second (age) column in the csv, a tuple of only 2 parameters would be retuned:
+Passing **`void`** makes the parser ignore a column. In the initial example **`void`** could be given as the second template parameter to ignore the second (age) column in the CSV, a tuple of only 2 parameters would be retuned:
 ```cpp
 // returns std::tuple<std::string, float>
 auto [id, grade] = p.get_next<std::string, void, float>();
@@ -495,7 +495,7 @@ ss::parser<ss::throw_on_error> parser;
 
 ## Substitute conversions
 
-The parser can also be used to effectively parse files whose rows are not always in the same format (not a classical csv but still csv-like). A more complicated example would be the best way to demonstrate such a scenario.\
+The parser can also be used to effectively parse files whose rows are not always in the same format (not a classical CSV but still CSV-like). A more complicated example would be the best way to demonstrate such a scenario.\
 ***Important, substitute conversions do not work when throw_on_error is enabled.***
 
 Supposing we have a file containing different shapes in given formats: