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docs/StardustDocs/topics/guides/quickstart.md

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@@ -21,8 +21,8 @@ including interactivity and rich DataFrame and plots rendering.
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You can instantly see the results of each operation: view the contents of your DataFrames after every transformation,
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inspect individual rows and columns, and explore data step-by-step in a live and interactive way.
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You can view this guide as a
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[notebook on GitHub](https://github.com/Kotlin/dataframe/tree/master/examples/notebooks/quickstart/quickstart.ipynb)
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You can view this guide as a
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[notebook on GitHub](https://github.com/Kotlin/dataframe/tree/master/examples/notebooks/quickstart/quickstart.ipynb)
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or download <resource src="quickstart.ipynb"></resource>.
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@@ -92,8 +92,6 @@ After executing the cell where a `DataFrame` variable is declared, an extension
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automatically generated.
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These properties can then be used in the Columns Selection DSL expression for typesafe and convenient column access.
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Select some columns:
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<!---FUN notebook_test_quickstart_5-->
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Kandy can be loaded into notebook using `%use kandy`:
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<!---FUN notebook_test_quickstart_15-->
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```kotlin
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//%use kandy
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%use kandy
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```
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<!---END-->
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Build a simple bar chart with `.plot { }` extension for DataFrame, that allows to use extension properties inside Kandy
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plotting DSL (plot will be rendered as an output after cell execution):
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In this quickstart, we covered the basics — reading data, transforming it, and building a simple visualization.
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Ready to go deeper? Check out what’s next:
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- 📘 **[Explore in-depth guides and various examples](Guides-And-Examples.md)** with different datasets,
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API usage examples, and practical scenarios that help you understand the main features of Kotlin DataFrame.
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- 📘 **[Explore in-depth guides and various examples](Guides-And-Examples.md)** with different datasets,
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API usage examples, and practical scenarios that help you understand the main features of Kotlin DataFrame.
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- 🛠️ **[Browse the operations overview](operations.md)** to learn what Kotlin DataFrame can do.
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for auto-generated column access in your IntelliJ IDEA projects.
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- 📊 **Master Kandy** for stunning and expressive DataFrame visualizations learning
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[Kandy Documentation](https://kotlin.github.io/kandy).
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[Kandy Documentation](https://kotlin.github.io/kandy).

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