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AlejandraPedroza committed Oct 17, 2024
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2 changes: 1 addition & 1 deletion docs/topics/data-analysis/data-analysis-connect-to-db.md
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[//]: # (title: Connect and retrieve data from databases)

Kotlin Notebook offers capabilities for connecting to and retrieving data from various types of SQL databases, such as
[Kotlin Notebook](kotlin-notebook-overview.md) offers capabilities for connecting to and retrieving data from various types of SQL databases, such as
MariaDB, PostgreSQL, MySQL, and SQLite.
Utilizing the [Kotlin DataFrame library](https://kotlin.github.io/dataframe/gettingstarted.html), Kotlin Notebook can establish
connections to databases, execute SQL queries, and import the results for further operations.
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2 changes: 1 addition & 1 deletion docs/topics/data-analysis/data-analysis-libraries.md
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In addition to its own libraries, Kotlin is 100% interoperable with Java. This interoperability helps to leverage
the entire ecosystem of tried-and-true Java libraries with excellent performance. With this perk, you can easily use either Kotlin
or Java libraries when working on Kotlin data projects.
or Java libraries when working on [Kotlin data projects](data-analysis-overview.md).

## Kotlin libraries

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[//]: # (title: Output formats supported by Kotlin Notebook)

Kotlin Notebook supports a variety of output types, including text, HTML, and images. With the help of external libraries,
[Kotlin Notebook](kotlin-notebook-overview.md) supports a variety of output types, including text, HTML, and images. With the help of external libraries,
you can expand your output options and visualize your data with charts, spreadsheets, and more.

Each output is a JSON object that maps the [Jupiter MIME type](https://jupyterlab.readthedocs.io/en/latest/user/file_formats.html)
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## What's next
* [Visualize data using the DataFrame and Kandy libraries](data-analysis-visualization.md)
* [Retrieve data from the CSV and JSON files](data-analysis-work-with-data-sources.md)
* [Check out the list of recommended libraries](data-analysis-libraries.md)
* [Visualize data using the DataFrame and Kandy libraries](data-analysis-visualization.md).
* [Learn more about rendering and displaying rich output in Kotlin Notebook](https://www.jetbrains.com/help/idea/kotlin-notebook.html#render-rich-output).
* [Retrieve data from the CSV and JSON files](data-analysis-work-with-data-sources.md).
* [Check out the list of recommended libraries](data-analysis-libraries.md).
2 changes: 1 addition & 1 deletion docs/topics/data-analysis/data-analysis-visualization.md
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Kotlin offers an all-in-one-place solution for powerful and flexible data visualization, providing an intuitive way to present and explore data
before diving into complex models.

This tutorial demonstrates how to create different chart types in IntelliJ IDEA using [Kotlin Notebook](https://plugins.jetbrains.com/plugin/16340-kotlin-notebook) with
This tutorial demonstrates how to create different chart types in IntelliJ IDEA using [Kotlin Notebook](kotlin-notebook-overview.md) with
the [Kandy](https://kotlin.github.io/kandy/welcome.html) and [Kotlin DataFrame](https://kotlin.github.io/dataframe/gettingstarted.html) libraries.

## Before you start
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2 changes: 1 addition & 1 deletion docs/topics/data-analysis/data-analysis-work-with-api.md
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[//]: # (title: Retrieve data from web sources and APIs)

Kotlin Notebook provides a powerful platform for accessing and manipulating data from various web sources and APIs.
[Kotlin Notebook](kotlin-notebook-overview.md) provides a powerful platform for accessing and manipulating data from various web sources and APIs.
It simplifies data extraction and analysis tasks by offering an iterative environment where every step can be visualized
for clarity. This makes it particularly useful when exploring APIs you are not familiar with.

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[//]: # (title: Retrieve data from files)

Kotlin Notebook, coupled with the [Kotlin DataFrame library](https://kotlin.github.io/dataframe/gettingstarted.html), enables
[Kotlin Notebook](kotlin-notebook-overview.md), coupled with the [Kotlin DataFrame library](https://kotlin.github.io/dataframe/gettingstarted.html), enables
you to work with both non-structured and structured data. This combination offers the flexibility to transform non-structured data,
such as data found in TXT files, into structured datasets.

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[//]: # (title: Get started with Kotlin Notebook)

Kotlin Notebook is an interactive tool that lets you mix code, visuals, and markdown in one document.
[Kotlin Notebook](kotlin-notebook-overview.md) is an interactive tool that lets you mix code, visuals, and markdown in one document.
You can use notebooks to write and execute code in sections known as _code cells_, see the results instantly, and write down your thoughts.
This setup makes it an excellent tool for rapid prototyping, analytics, and data science.

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6 changes: 3 additions & 3 deletions docs/topics/data-analysis/kotlin-notebook-add-dependencies.md
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</p>
</tldr>

You've already created your first Kotlin Notebook! Now let's learn how to add dependencies to libraries, which
You've already created your first [Kotlin Notebook](kotlin-notebook-overview.md)! Now let's learn how to add dependencies to libraries, which
is necessary to unlock advanced features.

> The Kotlin standard library can be used out of the box, so you don't have to import it.
Expand All @@ -17,7 +17,7 @@ is necessary to unlock advanced features.

You can load any library from the Maven repository by specifying its coordinates using Gradle-style
syntax in any code cell.
However, Kotlin Notebook has a simplified method to load popular libraries in the form of the `%use` statement:
However, Kotlin Notebook has a simplified method to load popular libraries in the form of the [`%use` statement](https://www.jetbrains.com/help/idea/kotlin-notebook.html#import-libraries):

```kotlin
// Replace libraryName with the library dependency you want to add
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## What's next
* See more details about [adding dependencies to your Kotlin Notebook](https://www.jetbrains.com/help/idea/kotlin-notebook.html#add-dependencies).
* For a more extensive guide using the Kotlin DataFrame library, see [Retrieve data from files](data-analysis-work-with-data-sources.md)
* For a more extensive guide using the Kotlin DataFrame library, see [Retrieve data from files](data-analysis-work-with-data-sources.md).
* For an extensive overview of tools and resources available for data science and analysis in Kotlin, see [Kotlin and Java libraries for data analysis](data-analysis-libraries.md).
2 changes: 1 addition & 1 deletion docs/topics/data-analysis/kotlin-notebook-create.md
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</p>
</tldr>

Here, you will learn how to create your first Kotlin Notebook, perform simple operations, and run code cells.
Here, you will learn how to create your first [Kotlin Notebook](kotlin-notebook-overview.md), perform simple operations, and run code cells.

## Create an empty project

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2 changes: 1 addition & 1 deletion docs/topics/data-analysis/kotlin-notebook-set-up-env.md
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</p>
</tldr>

Before you create your first Kotlin Notebook, you need to set up an environment.
Before you create your first [Kotlin Notebook](kotlin-notebook-overview.md), you need to set up an environment.

## Set up the environment

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[//]: # (title: Share your Kotlin Notebook)

To share a Kotlin Notebook, just upload it to any notebook web viewer because Kotlin notebooks follow the
To share a [Kotlin Notebook](kotlin-notebook-overview.md), you can just upload it to any notebook web viewer because [Kotlin notebooks](data-analysis-overview.md#notebooks) follow the
universal Jupyter format.

We recommend the following platforms to share Kotlin notebooks:
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2 changes: 1 addition & 1 deletion docs/topics/kotlin-notebook-overview.md
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Expand Up @@ -19,7 +19,7 @@ The Kotlin Notebook plugin comes with [various features](https://www.jetbrains.c
* Getting insights for debugging with error messages and traceback

Kotlin Notebook is based on our [Kotlin Kernel for Jupyter Notebooks](https://github.com/Kotlin/kotlin-jupyter?tab=readme-ov-file#kotlin-kernel-for-ipythonjupyter),
making it easy to integrate with other [Kotlin notebook solutions](https://kotlinlang.org/docs/data-analysis-overview.html#notebooks).
making it easy to integrate with other [Kotlin notebook solutions](data-analysis-overview.md#notebooks).
Without compatibility issues, you can effortlessly share your work among Kotlin Notebook,
[Datalore](https://datalore.jetbrains.com/), and [Kotlin-Jupyter Notebook](https://github.com/Kotlin/kotlin-jupyter).

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