grammar

Author: gianlucaborello

README.md

@@ -127,7 +127,7 @@ This is the method you use to export metric data. It's flexible enough to offer
 - **end_ts**: the UTC time (in seconds) of the end of the data window, or 0 to indicate "now". A negative value can also be optionally used to indicate a relative time in the past from now. For example, -3600 means "one hour ago".
 - **sampling_s**: the duration of the samples that will be returned. 0 Means that the whole data will be returned as a single sample.
 - **filter**: a boolean expression combining Sysdig Cloud segmentation criteria defines what the query will be applied to. For example: _kubernetes.namespace.name='production' and container.image='nginx'_.
-- **datasource_type**: specify the metric source for the request, can be `container` or `host`. Most metrics, for example `cpu.used.percent` or `memory.bytes.used`, are reported by hosts and containers. By default, metrics reported by the host are used, but if the request contains a grouping key in the metric list/filter which is container-specific (e.g. `container.name`), then the container source is used. In cases where grouping keys are missing or grouping keys apply to both hosts and containers (e.g. `tag.Name`), the datasource_type can be explicitly set to avoid any ambiguity and allow the user to select precisely what kind of data should be used for the request. [examples/get_data_datasource.py](examples/get_data_datasource.py) contains a few examples that should clarify the use of this argument.  
+- **datasource_type**: specify the metric source for the request, can be `container` or `host`. Most metrics, for example `cpu.used.percent` or `memory.bytes.used`, are reported by both hosts and containers. By default, host metrics are used, but if the request contains a container-specific grouping key in the metric list/filter (e.g. `container.name`), then the container source is used. In cases where grouping keys are missing or apply to both hosts and containers (e.g. `tag.Name`), datasource_type can be explicitly set to avoid any ambiguity and allow the user to select precisely what kind of data should be used for the request. [examples/get_data_datasource.py](examples/get_data_datasource.py) contains a few examples that should clarify the use of this argument.  
 
 **Success Return Value**  
 A dictionary with the requested data. Data is organized in a list of time samples, each of which includes a UTC timestamp and a list of values, whose content and order reflect what was specified in the _metrics_ argument.