To make your data easier to understand and analyse, the definition of each item (dimensions, metrics) in the table can be viewed by hovering your mouse over the item name (1).
Each column may be sorted (but you cannot sort several columns). The sort type, as well as the column being sorted, are indicated via the button (2).
Filters can be applied to items in each column and can meet several OR or AND conditions. Each condition must contain a piece of filtering criteria (greater than, greater than or equal to, equal to, less than or equal to, etc…). You may apply filters to several columns at once. (3)
Only the most commonly used metrics are displayed by default. You may display extra metrics – or hide certain metrics – using the "+ Metrics" button at the top-right of the table.
For better readability, we have grouped the metrics into 3 categories:
- "Suggested metrics": metrics most frequently used with the analysis you are displaying
- "My metrics": your custom metrics
- "All metrics": list of all standard AT Internet metrics applicable to the analysis, as well as all custom metrics, including those created by other users in your organization.
GOOD TO KNOW:
Custom metrics based on a segment are not compatible with an already segmented analysis.
By default, values in the table are sorted on the first metric, in decreasing order. If comparison mode is enabled, the percent of change will be displayed (the value appears when hovering your mouse). In cases where performance evolution data is not available, the value returned will be ‘-‘.
When the sorted metric is summable, you can quickly compare the proportions of different items at a glance thanks to an integrated bar graph in the cells of the sorted metric.
With certain analyses, you can access additional information without having to switch into a different analysis. This drill-down feature is indicated by a small chevron mark at the start of each table entry (1). To open the drill-down, click on this chevron.
You may display up to 3 sub-analyses with the drill-down feature. For each sub-analysis, we will show the top 5 items that brought the most visits (this metric may vary depending on the analysis). For the complete list of items, click on the drill-down title (2).
To go even further in your data analysis, you may create cross-combinations of data. To do this, click the "Combine with" button (1), then select the dimension you’d like to combine. A new column will be added to the table with the dimension you’ve just added.
To delete a combination, open the "Combine with" button, then click the "Delete" button next to the dimension you want to delete (1). You may also delete the combination by expanding the options of the column in question (2).
Good to know:
The “total” row presents the sum of all items in the analysis, not just those that are displayed.
Update the graph
You can control your graph area from the table and choose the items to hide or display from each row. Depending on your needs, you may manage the interaction between the graph and table in two different ways:
1/ By clicking on the block at the start of the row. If the block is in colour, that row will be displayed in the graph. If the block is black and white, that row will not be shown in the graph.
2/ By selecting items to display in the graph, and then clicking the “Replace the items” button at the top of the table. Doing this will “override” items in the graph, replacing them with the items you’ve selected.