This article helps you:
Use the sorting logic behind Data Tables to create elegant and accurate charts
Understand when, why, and how Data Tables limit the amount of data you export
For more complex analyses, it's important to understand how Amplitude Analytics decides what results to display, as well as what happens when you sort on a given column.
city
property, where the limit is 100, Amplitude Analytics only displays the top 100 group-by results. If you add a second-level group-by around the email
property, a maximum of 100 emails display for each city.Once you have these results, any sorting you do applies only to them, and doesn't bring in any new results.
For example, imagine your group-by has enough different property values that Amplitude Analytics limits the results displayed to the top 100. By default, Amplitude sorts these results in descending order. If you opt to view your results in ascending order, you don't see the “bottom 100” results instead. You still see only the same top 100 results—only their sorting order has changed.
When using multiple metrics, sorting by a particular column displays data for all columns based on the values in the sorted column. For a data table with multiple segments, multiple metrics, and a period over period comparison, sorting a period-over-period column within a metric gives you a dataset based on the first segment's current period.
Results exported to .CSV have row limits based on the metric type. If the data table contains multiple metrics of different kinds, the smallest row limit applies. Amplitude Analytics prunes rows exceeding the limit, and they don't appear in the exported .CSV.
With results queried from the Dashboard REST API, event segmentation metrics are limited to 1000 rows. This is the only difference from the .CSV limits described in the previous section.
When you apply time properties as group-bys, all limits described above apply to each group of the property.
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July 2nd, 2024
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