What is the difference between dimensions and metrics in Google Analytics?

What is the difference between dimensions and metrics in Google Analytics?

The dimension Page indicates the URL of a page that is viewed. Metrics are quantitative measurements. The metric Sessions is the total number of sessions. The metric Pages/Session is the average number of pages viewed per session.

How do I change custom dimensions in Google Analytics?

Sign in to Google Analytics. Click Admin, and navigate to the property to which you want to add custom dimensions. In the PROPERTY column, click Custom Definitions > Custom Dimensions. Click New Custom Dimension.

What are custom dimensions and metrics in Google Analytics?

Custom dimensions and custom metrics are like default dimensions and metrics in your Analytics account, except you create them yourself. You can use them to collect and analyze data that Analytics doesn’t automatically track.

How do I change a Google dimension studio to metric dimension?

You can treat any dimension as a metric in your charts: simply drag the field from the list to the metrics section of the chart configuration, then select the type of aggregation to apply. Dimensions containing non-numeric data (e.g. text, date) will be aggregated using Count Distinct (CTD).

What is the difference between custom dimension and custom variable?

The name of a Custom Dimension can be changed at any time. Values of Custom Dimensions are limited to 255 characters whereas Custom Variables are limited to 200.

What is an example of a metric in Google Analytics?

Screenviews, Pages per Session, and Average Session Duration are examples of metrics in Analytics.

What scope would be set for a custom dimension?

Explanation: User-level scope allows you to conveniently group all of a user’s component sessions and hits by a single value. It is ideal for values that don’t change often for a particular use.

What is an example of metric in Google Analytics?

What is an example of a dimension in Google Analytics?

A dimension is a descriptive attribute or characteristic of an object that can be given different values. For example, a geographic location could have dimensions called Latitude, Longitude, or City Name. Values for the City Name dimension could be San Francisco, Berlin, or Singapore.

How do I add metric to Google Studio data?

Select a chart. In the properties panel on the right, click +Add dimension or +Add metric, depending on the kind of field you want to create.

What is metric in Google Data Studio?

Metrics are aggregations that come from the underlying data set, or are the result of implicitly or explicitly applying an aggregation function, such as COUNT(), SUM(), or AVG(). The metric itself has no defined set of values, so you can’t group by it, as you can with a dimension.

What must metrics and dimensions share in order to report accurately?

Each dimension and metric has a scope: user-level, session-level, or hit-level. In most cases, it only makes sense to combine dimensions and metrics that share the same scope.