# Kotlin DataFrame Features in Kotlin Notebook
Discover how Kotlin DataFrame integrates with Kotlin Notebook for seamless interactive data analysis in IntelliJ IDEA.
Load, explore, and export your data interactively using Kotlin DataFrame in Kotlin Notebook.
Learn how to load, explore, drill into, export, and interact with data using Kotlin DataFrame in Kotlin Notebook.
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 the key features:
### Drag-and-Drop Data Files
You can quickly load data into `DataFrame` into a notebook by simply dragging and dropping a file
(.csv/.json/.xlsx and .geojson/.shp) directly into the notebook editor:
### Visual Data Exploration
**Page through your data**:
The pagination feature lets you move through your data one page at a time, making it possible to view large datasets.
**Sort by column with a single click**:
You can sort any column with a click.
This is a convenient alternative to using `sortBy` in separate cells.
**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.
### Drill down into nested data
When your data has multiple layers, like a table within a table,
you can now click on a cell containing a nested table to view these details directly.
This makes it easy to go deeper into your data and then return to where you were.
### Visualize multiple tables via tabs
You can open and visualize multiple tables in separate tabs.
This feature is tailored to those who need to compare, contrast, or monitor different datasets simultaneously.
### Exporting to files
You can export data directly from the dataframe into various file formats.
This simplifies sharing and further analysis.
The interface supports exporting data to JSON for web applications,
CSV for spreadsheet tools, and XML for data interchange.
### 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.
### Rendering of images in the cell
Table widget can render `BufferedImage`s.
Given a column of images, right-click on the cell and click `View Image` in the context menu.
### Clickable URI links
String values starting with `https://`, `https://`, `file:/` are treated as clickable links that open, for example, your browser or file manager.
Click on the cell to trigger a toolbar to appear.
Clicking on `Open URL` or `Open File URI` for the first time triggers a notification with a link to `Settings` → `URL Click Settings`.
Choose what protocols should be allowed.
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 DataFrame in your notebook cells.
## Related documentation
- [Kotlin for Data Analysis in notebooks](https://kotlinlang.org/docs/kotlin-notebook-overview.html):
Learn more about Kotlin Notebook capabilities for data analysis.
- [Kotlin Notebooks in IntelliJ IDEA](https://www.jetbrains.com/help/idea/kotlin-notebook.html):
Detailed documentation on working with Kotlin Notebooks in the IDE.