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3 | 3 | The [Kotlin Notebook Plugin for IntelliJ IDEA](https://plugins.jetbrains.com/plugin/16340-kotlin-notebook), combined with Kotlin DataFrame, offers powerful data analysis capabilities within an interactive environment. Here are key features:
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| -- **Visual Data Exploration**: View and navigate through your data using paginated tables. Drill down into nested data if your DataFrame contains nested structures. |
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| -- **Intuitive Sorting**: Sort data with a single click on column headers, facilitating rapid data organization and analysis. |
| 5 | +### Visual Data Exploration |
| 6 | +**Page through your data**: |
| 7 | +The pagination feature lets you move through your data one page at a time, making it possible to view large datasets. |
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| -https://github.com/user-attachments/assets/aeae1c79-9755-4558-bac4-420bf1331f39 |
| 9 | +**Sort by column with a single click**: |
| 10 | +You can sort any column with a click. This is a convenient alternative to using sortBy in separate cells. |
| 11 | + |
| 12 | +**Go straight to the data you need**: |
| 13 | +You can jump directly to a particular row or column if you want something specific. |
| 14 | +This makes working with large datasets more straightforward. |
| 15 | + |
| 16 | +<video src="https://github.com/user-attachments/assets/aeae1c79-9755-4558-bac4-420bf1331f39" controls></video> |
| 17 | + |
| 18 | +### Drill down into nested data |
| 19 | +When your data has multiple layers, like a table within a table, you can now click to view these details directly. |
| 20 | +This makes it easy to go deeper into your data and then return to where you were. |
| 21 | + |
| 22 | +### Visualize multiple tables via tabs |
| 23 | +You can open and visualize multiple tables in separate tabs. |
| 24 | +This feature is tailored for those who need to compare, contrast, or simply monitor different datasets simultaneously. |
| 25 | + |
| 26 | +### Exporting to files |
| 27 | + |
| 28 | +You can export data directly from the DataFrame into various file formats. This simplifies sharing and further analysis. |
| 29 | +The component supports exporting data to JSON for web applications, CSV for spreadsheet tools, and XML for data interchange. |
| 30 | + |
| 31 | +### Convenient copying of data from tables |
| 32 | +You can click and drag to select the data you need, |
| 33 | +or you can use keyboard shortcuts for quicker selection |
| 34 | +and then copy what’s needed with a simple right-click or another shortcut. |
| 35 | +It’s designed to feel intuitive, |
| 36 | +like copying text from a document, but with the structure and format of your data preserved. |
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| -- **Convenient Data Copying**: Copy data from tables for use in other tools or analyses. |
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| -- **Export Functionality**: Export your data to various formats including CSV and Excel for further analysis in other applications. |
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13 | 39 | 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.
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