@@ -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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-
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Select some columns:
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<!-- -FUN notebook_test_quickstart_5-->
@@ -303,14 +301,10 @@ convenient and typesafe way to build data visualizations.
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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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-
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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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-
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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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@@ -350,8 +344,8 @@ dfWithIsIntellij.writeExcel("jb_repos.xlsx")
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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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@@ -361,4 +355,4 @@ API usage examples, and practical scenarios that help you understand the main fe
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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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