An additional aspect to consider in online dashboards is interactivity, which increases the value and usability of the dashboard. Key options for this include date pickers and filters, which should be select bas on the information relevant to the user and the objectives of the analysis.
The final customization of
The dashboard and its aesthetics will depend on the target audience. While for internal use the appearance may be secondary, for presentations to management or people less familiar with data analysis, an attractive and clear design is crucial to ensure that the information is not only accessible but also understandable.
As a practical example
We can mention a simple dashboard design to provide an overview of the composition of web traffic across different channels and time periods, using date ios database pickers and filters. This approach allows users to explore data interactively and gain relevant insights intuitively.
This process not only improves
The quality of the final dashboard, but also ensures that the information present is relevant, accessible and, above all, useful for data-driven decision making.
What data can I actually request from this connection?
Data that can be analys using standard Google Analytics reports is also available in Looker Studio, allowing you to add detail information to your the file will be saved on your computer dashboards and therefore extend your analysis and visualisation capabilities. This means that we are restrict to using only data that comes from.
The Google Analytics Data API (GA4)
However, it is important to note that some features, such as the use of segments, that are available in the GA4 interface are not yet available in Looker Studio. This limitation means that while Looker Studio offers a powerful platform for data visualisation, certain specific analysis capabilities provid by GA4, such as segments, cannot be us directly in yeezys shoes Looker Studio, which could impact how users perform their analysis and customise their dashboards.