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Merge pull request #626 from Kotlin/wrs-fixes
fix broken links
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docs/StardustDocs/topics/hierarchical.md

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* [`ColumnGroup`](DataColumn.md#columngroup) is a group of [columns](DataColumn.md)
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* [`FrameColumn`](DataColumn.md#framecolumn) is a column of [dataframes](DataFrame.md)
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You can read [`DataFrame`](DataFrame.md) [from json](read.md#reading-json) or [from in-memory object graph](createDataFrame.md#todataframe) preserving original tree structure.
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You can read [`DataFrame`](DataFrame.md) [from json](read.md#read-from-json) or [from in-memory object graph](createDataFrame.md#todataframe) preserving original tree structure.
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Hierarchical columns can also appear as a result of some [modification operations](modify.md):
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* [group](group.md) produces [`ColumnGroup`](DataColumn.md#columngroup)

docs/StardustDocs/topics/readSqlDatabases.md

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To use the latest version of the Kotlin DataFrame library
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and a specific version of the JDBC driver for your database (MariaDB is used as an example below) in your Notebook, run the following cell.
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```jupyter
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```
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%use dataframe
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USE {

docs/StardustDocs/topics/schemasImportOpenApiJupyter.md

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<!---IMPORT org.jetbrains.kotlinx.dataframe.samples.api.Schemas-->
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Similar to [importing OpenAPI Data Schemas in Gradle projects](schemasGradle.md#openapi-schemas),
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Similar to [importing OpenAPI Data Schemas in Gradle projects](schemasImportOpenApiGradle.md),
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you can also do this in Jupyter Notebooks.
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There is only a slight difference in notation:

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