# Show raw data in Reports

**Pre-requisites**:

* You know how to generate Reports with default parameters.
* You know how to pass custom parameters for Reports or Metrics.

## Code example

You can refer to an example How-to-notebook:

{% embed url="<https://github.com/evidentlyai/evidently/blob/main/examples/how_to_questions/how_to_use_aggregated_data_option.ipynb>" %}

## Default

Starting from version 0.3.2, all visualizations in Reports are aggregated by default. This helps reduce the size of the resulting HTML.

For example, you can create a custom Report:

```python
report = Report(metrics=[
    RegressionPredictedVsActualScatter(),
    RegressionPredictedVsActualPlot()
])
report.run(reference_data=housing_ref, current_data=housing_cur)
report
```

Here is how the Scatter Plot in this Report will look:

![RegressionPredictedVsActualScatter()](https://3833155839-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FQkv2FmdD03Bpw5VKJjIF%2Fuploads%2Fgit-blob-481fbae53d0214f0f3c937f2d080a30c17465cbb%2Fmetric_regression_predvsactual_scatter_agg-min.png?alt=media)

{% hint style="info" %}
**This does not affect Test Suites.** All visualizations in Test Suites are already aggregated.
{% endhint %}

## Non-aggregated plots for Reports

If you want to see non-aggregated plots, you can set the `raw_data` parameter as `True` in the render options.

You can set it on the Report level:

```python
report = Report(
    metrics=[
      RegressionPredictedVsActualScatter(),
      RegressionPredictedVsActualPlot()
    ],
    options={"render": {"raw_data": True}}
  )
report.run(reference_data=housing_ref, current_data=housing_cur)
report
```

All plots in the Report will be non-aggregated. Here is how the Scatter Plot in this Report will look:

![RegressionPredictedVsActualScatter()](https://3833155839-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FQkv2FmdD03Bpw5VKJjIF%2Fuploads%2Fgit-blob-97cff96c5315089b0550d1a5b435456573b1c380%2Fmetric_regression_predvsactual_scatter_non_agg-min.png?alt=media)

{% hint style="info" %}
**Consider the data size.** We recommend setting this option for smaller datasets or when you apply sampling. With non-aggregated plots, the HTML will contain all the data on individual data points. They may take significant time to load and be large in size.
{% endhint %}

## Non-aggregated plots for Metrics

If you want to generate non-aggregated plots only for some visualizations, you can pass the option to the chosen Metrics:

```python
report = Report(
    metrics=[
      RegressionPredictedVsActualScatter(options={"render": {"raw_data": True}}),
      RegressionPredictedVsActualPlot()
    ],
  )
report.run(reference_data=housing_ref, current_data=housing_cur)
report
```