content reordering + some rewording

Author: rcurty

dataset.qmd

@@ -4,6 +4,8 @@ title: "Our Running Example"
 
 ## Streamed Movies & TV Shows Dataset
 
+Over the past decade, streaming services have rapidly transformed the way people consume entertainment, rising to dominate the media landscape. As more people turn to digital platforms for personalized viewing experiences, streaming services continue to redefine modern entertainment consumption. What was the last movie or show you have watched?
+
 ![](images/streaming-services.png){width="370"}
 
 This workshop utilizes the **streaming-master-messy** comma-separated value (CSV) file which is derived from the movies and TV shows featured by major streaming services and distributed in Kaggle Project under a CC0 Public License[^1].

project.qmd

@@ -71,13 +71,3 @@ We will keep the default configuration for now, but you can customize the desire
 ### What happens to the original dataset?
 
 OpenRefine gives researchers piece of mind by following a key best practice in data management: always preserve an untouched version of your original dataset. Why? Because having an unaltered copy ensures you can always return to the source if something goes wrong, verify your changes, or reprocess the data with a different approach—without risking data loss or corruption.
-
-### Upgrades & Backups
-
-OpenRefine is continuously evolving—bringing new features, performance upgrades, and sometimes changes to how projects are handled. While these updates improve the tool, they may also introduce compatibility issues with older project files.
-
-If you're upgrading from an older version of OpenRefine and already have projects saved on your computer, it's strongly recommended that you back them up before installing the new version.
-
-During these transitions, to protect your work, we advise you to first locate your **`workspace directory`** (this is where all your project files are stored). Then, copy everything in that folder and paste it into a separate backup location on your computer. This simple step ensures that your data remains safe, no matter what changes come with the upgrade.
-
-## 

saving.qmd

@@ -19,3 +19,11 @@ Clicking `Extract..` should prompt the extract operating history, which is essen
 You can choose to export specific actions or the entire file. This export is useful not only for reapplying edits to similar datasets, but also for enhancing transparency and reproducibility by clearly documenting the transformation from raw to analysis-ready data. You may reuse operations, by clicking `Apply...` and uploading the file.
 
 Let's see how does that work? Export the file and save it. Then, go to the `Undo/Redo` panel and go back to the step where the project was created and apply the file with all the actions you have performed. Cool, right?
+
+### Upgrades & Backups
+
+OpenRefine is continuously evolving—bringing new features, performance upgrades, and sometimes changes to how projects are handled. While these updates improve the tool, they may also introduce compatibility issues with older project files.
+
+If you're upgrading from an older version of OpenRefine and already have projects saved on your computer, it's strongly recommended that you back them up before installing the new version.
+
+During these transitions, to protect your work, we advise you to first locate your **`workspace directory`** (this is where all your project files are stored). Then, copy everything in that folder and paste it into a separate backup location on your computer. This simple step ensures that your data remains safe, no matter what changes come with the upgrade.