# Data aggregations

Reading all the previous articles about Insights, you've come to a place where there is just one last thing that remains to be explained: Data aggregations.

[As import.io puts it](https://www.import.io/post/what-is-data-aggregation-industry-examples/), "*Data aggregation is the process of gathering data and presenting it in a summarised format. The data may be gathered from multiple data sources with the intent of combining these data sources into a* [*summary*](https://www.statisticshowto.datasciencecentral.com/summary-statistics/) *for data analysis."*

Where do you find Data aggregations in Appmixer, you may wonder. Well, if you find yourself creating a chart, you'll find that out. 👇

![Data aggregations](/files/-MgLZeePW0avJtQfCSAb)

Let's spend a minute looking at the aggregation types offered in Appmixer.

{% tabs %}
{% tab title="Data aggregations" %}
**Date Histogram**\
Similar to the normal [histogram](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-histogram-aggregation.html), but it can only be used with date or date range values, typically in combination with the special purpose "@timestamp" field.

**Sum**\
Adds together all the specified data to get a total.

**Min**\
Displays the lowest value for each category.

**Max**\
Displays the highest value for each category.

**Average**\
Computes the average value of the specific data.

**Unique Count**\
Counts the total number of unique data entries for each category.

**Range**\
A multi-bucket value source based aggregation that enables the user to define a set of ranges - each representing a bucket.

**Filter**\
Narrows the set of data to that that matches a query.
{% endtab %}
{% endtabs %}


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