Updates DFA docs with scatterplot matrix enhancement (elastic#2253)

Co-authored-by: Lisa Cawley <[email protected]>

Author: szabosteve

docs/en/stack/ml/df-analytics/images/outliers-scatterplot.jpg

@@ -391,8 +391,10 @@ erroneous data or describe the `dependent_variable`.
 --
 The wizard includes a scatterplot matrix, which enables you to explore the 
 relationships between the numeric fields. The color of each point is affected by
-the value of the dependent variable for that document, as shown in the legend.
-You can use this matrix to help you decide which fields to include or exclude.
+the value of the {depvar} for that document, as shown in the legend. You can 
+highlight an area in one of the charts and the corresponding area is also 
+highlighted in the rest of the charts. You can use this matrix to help you 
+decide which fields to include or exclude.
 
 [role="screenshot"]
 image::images/flights-classification-scatterplot.png["A scatterplot matrix for three fields in {kib}"]
@@ -722,8 +724,8 @@ GET _ml/trained_models/model-flight-delays-classification*?include=total_feature
 --------------------------------------------------
 // TEST[skip:TBD]
 
-The snippet below shows an example of the total {feat-imp} and the corresponding baseline
-in the trained model metadata:
+The snippet below shows an example of the total {feat-imp} and the corresponding 
+baseline in the trained model metadata:
 
 [source,console-result]
 --------------------------------------------------

docs/en/stack/ml/df-analytics/ml-dfa-classification.asciidoc

@@ -519,16 +519,19 @@ The search results include the following {oldetection} scores:
 ====
 
 {kib} also provides a scatterplot matrix in the results. Outliers with a score 
-that exceeds the threshold are highlighted in each chart:
+that exceeds the threshold are highlighted in each chart. The outlier score 
+threshold can be set by using the slider under the matrix:
 
 [role="screenshot"]
 image::images/outliers-scatterplot.jpg["View scatterplot in {oldetection} results"]
 
-In addition to the sample size and random scoring options, there is a
-*Dynamic size* option. If you enable this option, the size of each point is 
-affected by its {olscore}; that is to say, the largest points have the
-highest {olscores}. The goal of these charts and options is to help you 
-visualize and explore the outliers within your data.
+You can highlight an area in one of the charts and the corresponding area is 
+also highlighted in the rest of the charts. This function makes it easier to 
+focus on specific values and areas in the results. In addition to the sample 
+size and random scoring options, there is a *Dynamic size* option. If you enable 
+this option, the size of each point is affected by its {olscore}; that is to 
+say, the largest points have the highest {olscores}. The goal of these charts 
+and options is to help you visualize and explore the outliers within your data.
 
 --
 

docs/en/stack/ml/df-analytics/ml-dfa-outlier-detection.asciidoc

@@ -217,8 +217,8 @@ Let's try to predict flight delays by using the
 data set contains information such as weather conditions, flight destinations 
 and origins, flight distances, carriers, and the number of minutes each flight 
 was delayed. When you create a {regression} job, it learns the relationships 
-between the fields in your data to predict the value of a _{depvar}_, which – in 
-this case – is the numeric `FlightDelayMins` field. For an overview of these 
+between the fields in your data to predict the value of a _{depvar}_, which - in 
+this case - is the numeric `FlightDelayMins` field. For an overview of these 
 concepts, see <<ml-dfa-regression>> and <<ml-supervised-workflow>>.
 
 
@@ -328,9 +328,10 @@ exclude fields that either contain erroneous data or describe the
 --
 The wizard includes a scatterplot matrix, which enables you to explore the 
 relationships between the numeric fields. The color of each point is affected by 
-the value of the {depvar} for that document, as shown in the legend. You can use 
-this matrix to help you decide which fields to include or exclude from the 
-analysis.
+the value of the {depvar} for that document, as shown in the legend. You can 
+highlight an area in one of the charts and the corresponding area is also 
+highlighted in the rest of the chart. You can use this matrix to help you 
+decide which fields to include or exclude from the analysis.
 
 [role="screenshot"]
 image::images/flightdata-regression-scatterplot.png["A scatterplot matrix for three fields in {kib}"]