- [Narrator] Inline filters are simple
but powerful tool to allow us to quickly control
and consolidate the data that we're analyzing
in the data table and all the graphs.
Before we begin, let's talk about terminology.
The three primary types of filters.
View filters, quick inline filters,
and the advanced filters.
Let's actually start out by pointing
out the filters we're not going to talk about
in this video so we don't get into trouble.
If we take a look at the view settings down here
in the admin, come over here to the view,
and come down here to an area called filters.
We see some advanced filters here, these are
going to affect the views, it's gonna actually
keep the data from getting into the view,
and frankly, these are pretty dangerous
if you don't know what you're doing.
We'll discuss these over in the Advanced
Google Analytics course but we're gonna go
ahead and back away from these for now.
These are not the subject of this video.
We talk about inline or advanced filters,
we're actually not talking about these views
at all but just the reports that we're
gonna take a look at.
So if we come down here to the audience,
then down to geo, let's take a look
at the language report for a minute.
These are going to have the browser languages
of all the people visiting our sites.
Up here, this box, this is our inline filter box.
Now let's say we wanna look at all the different
folks who have Spanish set on their browser.
We could just come down here and click on Spanish
and then that would filter everything
that we see here, only to the folks
that have Spanish and we would see
all the scorecard and metrics.
The problem is, there's more than one kind
of Spanish reported.
So if we head back over there, a better way
to do that is to simply put es here
in the filter, return, and then we see
all the different variations of Spanish.
We have just the es, we have Spain Spanish,
we have Mexican Spanish, Argentinean Spanish,
and so on.
Now from here, we're able to evaluate
these individually and I can see each
of these rows and metrics that go with her,
and we can also see them summed up as well.
When I change this filter up here,
all of these summation metrics up here
in the scorecard, are reflected for just what's
shown here in the data table, as well as our
data over time graph.
Besides convenience, the beauty of having
this fully calculated in the scorecard
is that even the mental math whizzes can't
just sum these all up because things like
bounce rate aren't just sums.
So these calculations at the top are great
for getting the entire segment, while not
sacrificing any of the granular data below.
And there are tons of uses for this type
of filtering these reports, let's take
a look at some more.
We click on over to the source medium report,
under acquisition, all traffic source,
and source medium, here we're gonna see
the different sources and mediums that bring
traffic to the site.
If your questions is how many
Google pages are bringing traffic
to our Google merchandise store?
Well if we simply go here and type in Google,
the orders restrict the report, when the
source medium has to have Google in it.
And we see there are lots of them here.
And these are cases where Google was
in the domain of the source that
brought traffic here.
And again, just like before, the scorecard
and the data over time graph will update
to reflect the overall aggregate numbers
for these Google pages all put together.
So these inline filters are great
for quick manipulation of the data.
It take less than five seconds
to achieve a lot of data cleanup.
In the next video, we'll show you how
to make this even more powerful
with inline advanced filters.