updates

Author: luisaFelixSalles

doc/source/user_guide/tutorials/import_data/extract_and_explore_results_data.rst

@@ -1,2 +1,23 @@
 .. _ref_tutorials_extract_and_explore_results_data:
 
+====================
+Explore results data
+====================
+
+.. |Field| replace:: :class:`Field<ansys.dpf.core.field.Field>`
+.. |Examples| replace:: :mod:`Examples<ansys.dpf.core.examples>`
+
+This tutorial shows how to extract and explore results data from a result file.
+
+When you extract a result from a result file DPF stores it in a |Field|.
+This |Field| will then contain the data of the result associated with it.
+
+When DPF-Core returns the |Field| object, what Python actually has is a client-side
+representation of the |Field|, not the entirety of the |Field| itself. This means
+that all the data of the field is stored within the DPF service. This is important
+because when building your workflows, the most efficient way of interacting with result data
+is to minimize the exchange of data between Python and DPF, either by using operators
+or by accessing exclusively the data that is needed.
+
+
+

doc/source/user_guide/tutorials/import_data/index.rst

@@ -42,16 +42,15 @@ From result files
        :link-type: ref
        :text-align: center
 
-       This tutorial shows how to import a result file in DPF
+       This tutorial shows how to import a result file in DPF.
 
     .. grid-item-card:: Extract and explore results metadata
        :link: ref_tutorials_extract_and_explore_results_metadata
        :link-type: ref
        :text-align: center
 
-       This tutorial shows how to extract and explore results metadata (unit,
-       location, the scoping, the shape of the data stored ... ) extracted
-       from a result file.
+       This tutorial shows how to extract and explore results metadata (analysis type,
+       physics type, unit system ... ) from a result file.
 
     .. grid-item-card:: Extract and explore results data
        :link: ref_tutorials_extract_and_explore_results_data