anchor.diff:  //granularity is a bucket, but if you have a big time range selected, then they will span many buckets
   
   Single Metric Viewer::
  -  This view contains a chart that represents the actual and expected values over time. 
  -  This is only available for jobs which analyze a single time series
  -  and where `model_plot_config` is enabled.
  -  As in the **Anomaly Explorer**, anomalous data points are shown in
  -  different colors depending on their score.
  +  This view contains a chart that represents the actual and expected values over
  +  time. This is only available for jobs that analyze a single time series and
  +  where `model_plot_config` is enabled. As in the **Anomaly Explorer**, anomalous
  +  data points are shown in different colors depending on their score.
   
   [float]
   [[ml-gs-job1-analyze]]
   ==== Exploring Single Metric Job Results
   
  -By default when you view the results for a single metric job,
  -the **Single Metric Viewer** opens:
  +By default when you view the results for a single metric job, the
  +**Single Metric Viewer** opens:
   image::images/ml-gs-job1-analysis.jpg["Single Metric Viewer for total-requests job"]
   
  -The blue line in the chart represents the actual data values. 
  -The shaded blue area represents the bounds for the expected values. 
  -The area between the upper and lower bounds are the most likely values for the model. 
  -If a value is outside of this area then it can be said to be anomalous.
  -//TBD: What is meant by "95% prediction bounds"? Because we are using probability 
  -//to "predict" the values.. 
  +The blue line in the chart represents the actual data values. The shaded blue
  +area represents the bounds for the expected values. The area between the upper
  +and lower bounds are the most likely values for the model. If a value is outside
  +of this area then it can be said to be anomalous.
   
   If you slide the time selector from the beginning of the data to the end of the
   data, you can see how the model improves as it processes more data. At the
  
positive.code: Datafeed state::
  The status of the data feed, which can be one of the following values: +
  started::: The data feed is actively receiving data.
  stopped::: The data feed is stopped and will not receive data until it is re-started.
  //TBD: How to restart data feeds in Kibana? 
  
  Latest timestamp::
  The timestamp of the last processed record.
  
negative.code: 
  . Choose a start time and end time. For example,
  click **Continue from 2017-04-01** and **2017-04-30**, then click **Start**.
  The date picker defaults to the latest timestamp of processed data. Be careful
  not to leave any gaps in the analysis, otherwise you might miss anomalies.
  image::images/ml-gs-job1-datafeed.jpg["Restarting a data feed"]
  
  The data feed state changes to `started`, the job state changes to `opened`,
  