After all stories are a very popular
Dec 6, 2023 5:59:32 GMT
Post by account_disabled on Dec 6, 2023 5:59:32 GMT
Data Studio visualizations Granting access to Google Data Studio visualizations Most visualizations are based on two main components – dimension and data. A dimension is the information according to which the data will be presented. For example, the dimensions will be the names of the Google Ads campaigns, and the data will be the number of impressions, clicks and CPC rate.
For time series charts, the dimension will always be time - in months, days or hours. We can also freely format the data or dimension. These quantities often do not have units, so you can edit the data by Job Function Email List adding the appropriate format. Editing data in Google Data Studio Editing data in Google Data Studio An important feature worth mentioning is the ability to create your own fields within the data source.
To do this, we must enter the data source editing menu: Resource - Manage available data sources - Edit with the selected data source. If you want to add a field, select the "Add field" option, where the formula window will appear. We can add any functions related to the fields present in the data source. For example, if we want to create our own field for calculating the CTR of a Google Ads campaign.
For time series charts, the dimension will always be time - in months, days or hours. We can also freely format the data or dimension. These quantities often do not have units, so you can edit the data by Job Function Email List adding the appropriate format. Editing data in Google Data Studio Editing data in Google Data Studio An important feature worth mentioning is the ability to create your own fields within the data source.
To do this, we must enter the data source editing menu: Resource - Manage available data sources - Edit with the selected data source. If you want to add a field, select the "Add field" option, where the formula window will appear. We can add any functions related to the fields present in the data source. For example, if we want to create our own field for calculating the CTR of a Google Ads campaign.