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updatedAt: 2026-09-02T13:21:34.000Z
agentTools:
projectIndex: https://documentation.picsellia.com/llms.txt
---
# Analytics and Charts
Once a `DatasetVersion` is annotated, Picsellia gives you two complementary ways to assess and explore it in aggregate, on top of browsing `Asset` one by one: the *Analytics* tab, and the *Charts* tab.
## 1. Analytics
Once your `DatasetVersion` is annotated, Picsellia automatically computes several metrics that can be used to assess the quality of your `Dataset`.
To visualize them, you can jump into the *Analytics* tab of your `DatasetVersion`:
You can obviously hover over any bar from any chart to get the analytics details.
### In case an Annotation Campaign is ongoing on the current `DatasetVersion`
In case an _Annotation Campaign_ is ongoing, the _Analytics_ tab will be enriched with additional metrics, they are described in details [here](https://documentation.picsellia.com/docs/campaign#7-analytics)
## 2. Charts
`Charts` let you build custom aggregate visualizations over the `Asset` of a `DatasetVersion`, alongside the *Query Language* and *Embeddings* exploration modes detailed [here](https://documentation.picsellia.com/docs/dataset-overview#3-exploration-modes-and-filtering).
For a Computer Vision project, this kind of aggregate view is what surfaces invisible problems `Asset` by `Asset`: a breakdown by `Label` can reveal a class imbalance before it skews training, a breakdown by `Custom Metadata` can help track representativity of the current `DatasetVersion`, and a breakdown by `AssetTag` can confirm a *train*/*test*/*val* split is balanced as expected.
### A. Accessing Charts
Like the `Datalake`, `Charts` are available from the *Charts* tab at the top of the `DatasetVersion`, listing every chart created so far and from the side-by-side exploration mode combining `Charts` with the *Assets overview*.
Clicking on a bar of a chart automatically filters the `Asset` displayed in the *Assets overview* to only the ones matching that bar, by applying the equivalent query behind the scenes, the same way it does on the `Datalake`, detailed [here](https://documentation.picsellia.com/docs/datalake-charts#1-accessing-charts).
### B. Creating a Chart
Click *+ Create chart* to open the creation form:
* **Name**: the name of your chart.
* **Aggregate Function**: `AVG`, `COUNT`, `MAX`, `MIN`, or `SUM`.
* **Aggregate Field**: the field to aggregate, for instance `ID` (to count `Asset`), `DATA_CUSTOM_METADATA`, `SHAPE_ATTRIBUTES`, or `ANNOTATION_ATTRIBUTES` (i.e. `Asset Attribute`).
* **Group By Field**: the field used to bucket the results. `Asset`-specific fields include `CREATED_AT`, `TAG` (i.e. `AssetTag`), `SHAPE_LABEL`, `SHAPE_TEXT`, `SHAPE_AREA`, `SHAPE_ATTRIBUTES`, and `ANNOTATION_ATTRIBUTES` (i.e. `Asset Attribute`). You can also group by fields inherited from the underlying `Data`: `DATA_CREATED_AT`, `DATA_CONTENT_TYPE`, `DATA_UPLOAD_STATUS`, `DATA_FILE_SIZE`, `DATA_TAG`, `DATA_SOURCE`, `DATA_METADATA`, `DATA_CUSTOM_METADATA`, `DATA_DATALAKE`, or `DATA_DEPLOYMENT`. This field is optional: leaving it empty produces a *Metric* chart, a single aggregate value computed over the whole selection instead of a breakdown.
* **Advanced filtering**: optionally scope the chart to a subset of `Asset` using the same *Query Language* as the *Search Bar*, detailed [here](https://documentation.picsellia.com/docs/dataset-query-language).
For instance, below a *Chart* showing the average `Shape` area grouped by `Label` name is being created:
Once created, your chart is displayed as a card showing the resulting visualization, for instance a bar chart of the average `Shape` area aggregated by `SHAPE_LABEL`.
Please note that a Chart can be created the same way from the side-by-side view:
### C. Managing Charts
From a chart's card, you can:
* **Recompute**: refresh the chart with the latest `Asset` and `Annotation`.
* **Update** or **Delete**: from the *...* menu.