diff --git a/docs/book/.gitbook/assets/reports/metric_regression_predvsactual_scatter_agg-min.png b/docs/book/.gitbook/assets/reports/metric_regression_predvsactual_scatter_agg-min.png
new file mode 100644
index 0000000000..481fbae53d
Binary files /dev/null and b/docs/book/.gitbook/assets/reports/metric_regression_predvsactual_scatter_agg-min.png differ
diff --git a/docs/book/.gitbook/assets/reports/metric_regression_predvsactual_scatter_non_agg-min.png b/docs/book/.gitbook/assets/reports/metric_regression_predvsactual_scatter_non_agg-min.png
new file mode 100644
index 0000000000..97cff96c53
Binary files /dev/null and b/docs/book/.gitbook/assets/reports/metric_regression_predvsactual_scatter_non_agg-min.png differ
diff --git a/docs/book/SUMMARY.md b/docs/book/SUMMARY.md
index 89b685aa96..106a3fbcaa 100644
--- a/docs/book/SUMMARY.md
+++ b/docs/book/SUMMARY.md
@@ -38,10 +38,11 @@
 * [Customization](customization/README.md)
   * [Data drift parameters](customization/options-for-statistical-tests.md)
   * [Embeddings drift parameters](customization/embeddings-drift-parameters.md)
+  * [Text descriptors parameters](customization/text-descriptors-parameters.md)
+  * [Customize JSON output](customization/json-dict-output.md)
+  * [Plot aggregation in Reports](customization/report-data-aggregation.md)
   * [Add a custom drift method](customization/add-custom-drift-method.md)
   * [Add a custom metric or test](customization/add-custom-metric-or-test.md)
-  * [Customize JSON output](customization/json-dict-output.md)
-  * [Text descriptors parameters](customization/text-descriptors-parameters.md)
   * [Options for color schema](customization/options-for-color-schema.md)
 * [How-to guides](how-to-guides/README.md)
 
diff --git a/docs/book/customization/report-data-aggregation.md b/docs/book/customization/report-data-aggregation.md
new file mode 100644
index 0000000000..4a0a5d6d28
--- /dev/null
+++ b/docs/book/customization/report-data-aggregation.md
@@ -0,0 +1,77 @@
+---
+description: How to change data aggregation in plots.
+---
+
+**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()](../.gitbook/assets/reports/metric_regression_predvsactual_scatter_agg-min.png)
+
+{% 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()](../.gitbook/assets/reports/metric_regression_predvsactual_scatter_non_agg-min.png)
+
+{% 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
+```
diff --git a/docs/book/support/migration.md b/docs/book/support/migration.md
index a3e979a31c..e3eaecdb7e 100644
--- a/docs/book/support/migration.md
+++ b/docs/book/support/migration.md
@@ -10,6 +10,8 @@ In Evidently 0.3.0, the old API was removed from the code base.
 
 # If your code breaks
 
+If you get an error `no module named 'evidently.dashboard'`, you might be running the code that uses old API, with a newer Evidently version.
+
 To make sure your existing code that uses `Dashboards` or `json profiles` works, **fix the Evidently version to 0.2.8 or earlier**.
 
 For example, when installing Evidently, specify:
@@ -45,12 +47,16 @@ data_drift_report.run(reference_data=ref, current_data=cur)
 data_drift_report
 ```
 
+If you want to keep non-aggregated visualization from the earlier Evidently version, set the [corresponding "agg_data" parmeter to False](../customization/report-data-aggregation.md).
+
 To get what was previously as JSON profile (and has now been improved and re-worked!), simply get the Report output as JSON:
 
 ```
 data_drift_report.json()
 ```
 
+If you want to include all the render data in the JSON output, use [parameters to include additional information in JSON](../customization/json-dict-output.md).
+
 You can also get the output as a Python dictionary.
 
 ```