The Explore page of Hive Insights is an advanced and flexible debugging tool which is targeted towards more advanced users. It utilizes a very basic workflow, a user can apply various filters to the viewers participating in the event at hand, and based on that filter various metrics are updated.
Based on that workflow, the main components forming the view are:
- Viewers: The filtered set represented in a list or on a map.
- Metrics: Various aggregation charts based on the filtered set of viewers, from the same three perspectives adopted in Overview.
- Filter: The currently applied filter to the viewers set,
Starting with dismantled components as we did in Overview, Explore is composed of 3 main components. The first one is the viewers representation. Since this is a bit of an advanced view, we wanted to make it as flexible as possible enabling you to select via different representations, which are simply a list or a map. However, we added a couple of subviews to each as well.
The two subviews can be accessed via a toggle button at the top right corner.
As for the map representation, we added two views to it similar to Overview; viewers count and quality of experience. Using these two views, a user can easily answer questions like, “What is the location with the highest viewers count?” and “What is the locations with the worst quality of experience?”. Similarly to the list view, the two subviews can be accessed via a toggle button at the top right corner.
The second component in Explore is the metrics panel. The metrics panel contains a number of graphs whether timeline or aggregated pie charts for the filtered viewers list, which are grouped based on the recurring three perspectives.
The final component in Explore is the applied filter. The applied filter is manifested in the view using two panels, Current filter, and Filtered data stats. The current filter panel, as the name implies, displays the current applied filter. To remove a filter using the current filter panel, you can click on the (x) which is displayed per field or to clear them all via the button at the bottom.
Secondly, the filtered data stats panel show some statistics per filtered viewers set; for example number of viewers of the filtered set compared to the total count.
Assembling all the prior 3 components together yields Explore.
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