anchor.diff:       may provide clues that the data needs to be cleaned or transformed prior
        to use by other {ml} functionality.
   
  +
  +[[ml-find-file-structure-example-nyc]]
  +===== Finding the structure of NYC yellow cab example data
  +
   The next example shows how it's possible to find the structure of some New York
   City yellow cab trip data. The first `curl` command downloads the data, the
   first 20000 lines of which are then piped into the `find_file_structure`
  
positive.code:      necessary to supply the timezone they relate to. `need_client_timezone`
       will be `false` for timestamp formats that include the timezone.
  
  If you try to analyze a lot of data then the analysis will take a long time.
  If you want to limit the amount of processing your {es} cluster performs for
  a request, use the `timeout` query parameter. The analysis will be aborted and
  
negative.code: and the timeout is measured from the time this endpoint starts to process the
  data.
  --
  
  
  [[ml-find-file-structure-example-eslog]]
  ===== Analyzing {es} log files
  
  This is an example of analyzing {es}'s own log file:
  
  