> ## Documentation Index
> Fetch the complete documentation index at: https://axiom-mano-sample-app.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# Analyze data
> This page explains how to use the Datasets tab in Axiom.
The Datasets tab allows you to gain a better understanding of the fields you have in your datasets.
In Axiom, an individual piece of data is an event, and a dataset is a collection of related events. Datasets contain incoming event data. The Datasets tab provides you with information about each field within your datasets.
## Datasets overview
When you open the Datasets tab, you see the list of datasets on the left. To explore the fields in a dataset, select the dataset from the list on the left.
On the right, you see the following:
* The list of integration dashboards appears on the Datasets overview page. These are prebuilt dashboards automatically generated by Axiom to enhance your experience. For more information, see [Apps](/apps).
* The list of [starred queries](#starred-queries)
* The [query history](#query-history)
## Fields list
When you select a dataset, Axiom displays the list of fields within the dataset.
The field types are the following:
* String
* Number
* Boolean
* Array
* [Virtual fields](#virtual-fields)
This view flattens field names with dot notation. This means that the event `{"foo": { "bar": "baz" }}` appears as `foo.bar`. Field names containing periods (`.`) are folded.
### Edit field
Click the field name to change the following:
* Change the field description.
* Change the field unit. This is only available for number field types.
* Hide the field. This means that the field is still present in the underlying Axiom database, but it doesn’t appear in the Axiom UI. Use this option if you sent the field to Axiom by mistake or you don’t want to use it anymore in Axiom.
## Quick charts
Quick charts allow fast charting of fields depending on their field type. For example, for number fields, choose one of the following for easily visualizing
* 
Percentiles
* 
Averages
* 
Histograms
## Virtual fields
Virtual fields are powerful expressions that run on every event during a query to create new fields. The virtual fields are calculated from the events in the query using an APL expression. They’re similar to tools like derived columns in other products but super-charged with an expressive interpreter and with the flexibility to add, edit, or remove them any time.
To manage a dataset’s virtual fields, click 
in the toolbar.
## Queries
Every query has a unique ID that you can save and share with your team members. The Datasets tab allows you to do the following:
* Find a past query.
* Run previously saved queries.
* Star a query so that you and your team members can easily find it in the future.
### Recent queries
To find and run recent queries:
1. Click **Query library** in the toolbar.
2. Click the **Recent** tab.
3. Optional: In the top right, select whether to display 
your queries or 
your team’s queries.
4. Find the query in the list, and then click it to run the query.
### Saved queries
To find and run previously saved queries:
1. Click **Query library** in the toolbar.
2. Click the **Saved** tab.
3. Optional: In the top right, select whether to display your queries or your team’s queries.
4. Find the query in the list, and then click it to run the query.
### Starred queries
In the **Starred queries** section on the right, you see queries saved for future use. They’re great for keeping a list of useful queries for a dataset. All starred queries are shared with your team.