anchor.diff:  [in the R language manual](http://stat.ethz.ch/R-manual/R-devel/library/datasets/html/airquality.html).
   
   It is quite common for statistical datasets that some values are missing. If
  -you open the [`docs/AirQuality.csv`](docs/AirQuality.csv) file you will see
  +you open the [`docs/AirQuality.csv`](../docs/AirQuality.csv) file you will see
   that some values for the Ozone observations are marked `#N/A`. Such values are
   parsed as float and will in F# be marked with `Double.NaN`.
   *)
  
positive.code: to the columns in the CSV file.
  
  As you can see, the type provider also infers types of individual rows. The `Date`
  property is infered to be a `DateTime` (because the values in the sample file can all
  be parsed as dates) while HLOC prices are infered as `decimal`.
  
  ### Charting stock prices
  
  
negative.code:     2012-01-25,29.07,29.65,29.07,29.56,59231700,29.56
      2012-01-24,29.47,29.57,29.18,29.34,51703300,29.34
  
  As usual with CSV files, the first row contains the headers (names of individual columns) 
  and the next rows define the data. We can pass reference to the file to `CsvProvider` to 
  get a strongly typed view of the file:
  *)
  