anchor.diff:      wb.Countries.``United States`` |]
   
   (**
  -To download the information in parallel, we can now create a list of asynchronous 
  +To download the information in parallel, we can create a list of asynchronous 
   computations, compose them using `Async.Parallel` and then run the (single) obtained 
   computation to perform all the downloads:
   *)
  +
   [ for c in countries ->
       c.Indicators.``School enrollment, tertiary (% gross)`` ]
   |> Async.Parallel
  
positive.code: financial and technical assistance to developing countries around the world. As one of the
  activities, the World Bank also collects development indicators and other data about
  countries in the world. The [data catalog](http://data.worldbank.org/) contains over
  8000 indicators that can be all programmatically accessed.
  
  The WorldBank type provider makes the WorldBank data easily accessible to F# programs and
  scripts in a type safe way. This article provides an introduction. The type provider
  
negative.code: [FSharp.Charting](http://fsharp.github.io/FSharp.Charting/) library and plotting the data:
  
  *)
  
  #load "../../packages/FSharp.Charting.0.84/FSharp.Charting.fsx"
  open FSharp.Charting
  
  data.Countries.``United Kingdom``
      .Indicators.``School enrollment, tertiary (% gross)``
  |> Chart.Line
  
  (**
  The `Chart.Line` function takes a sequence of pairs containing X and Y values, so we
  can call it directly with the World Bank data set using the year as the X value and the
  