Add more videos to demonstrate table component features

Author: ermolenkodev

docs/StardustDocs/topics/Usage-with-Kotlin-Notebook-Plugin.md

@@ -12,28 +12,33 @@ You can sort any column with a click. This is a convenient alternative to using
 **Go straight to the data you need**:
 You can jump directly to a particular row or column if you want something specific.
 This makes working with large datasets more straightforward.
-
 <video src="https://github.com/user-attachments/assets/aeae1c79-9755-4558-bac4-420bf1331f39" controls></video>
 
 ### Drill down into nested data
 When your data has multiple layers, like a table within a table, you can now click to view these details directly.
 This makes it easy to go deeper into your data and then return to where you were.
+<video src="https://github.com/user-attachments/assets/ef9509be-e19b-469c-9bad-0ce81eec36b0" controls></video>
 
 ### Visualize multiple tables via tabs
 You can open and visualize multiple tables in separate tabs.
 This feature is tailored for those who need to compare, contrast, or simply monitor different datasets simultaneously.
+<video src="https://github.com/user-attachments/assets/51b7a6e3-0187-49b3-bf5e-0c4d60f8b769" controls></video>
+
 
 ### Exporting to files
 
 You can export data directly from the DataFrame into various file formats. This simplifies sharing and further analysis.
 The component supports exporting data to JSON for web applications, CSV for spreadsheet tools, and XML for data interchange.
+<video src="https://github.com/user-attachments/assets/ec28c59a-1555-44ce-98f6-a60d8feae347" controls></video>
+
 
 ### Convenient copying of data from tables
 You can click and drag to select the data you need,
 or you can use keyboard shortcuts for quicker selection
 and then copy what’s needed with a simple right-click or another shortcut.
 It’s designed to feel intuitive,
 like copying text from a document, but with the structure and format of your data preserved.
+<video src="https://github.com/user-attachments/assets/88e53dfb-361f-40f8-bffb-52a512cdd3cd" controls></video>
 
 
 To get started, ensure you have the latest version of the Kotlin Notebook Plugin installed in IntelliJ IDEA, and begin exploring your data using Kotlin DataFrames in your notebook cells.