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fix broken links #626

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merged 1 commit into from
Mar 15, 2024
Merged

fix broken links #626

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2 changes: 1 addition & 1 deletion docs/StardustDocs/topics/hierarchical.md
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Expand Up @@ -5,7 +5,7 @@
* [`ColumnGroup`](DataColumn.md#columngroup) is a group of [columns](DataColumn.md)
* [`FrameColumn`](DataColumn.md#framecolumn) is a column of [dataframes](DataFrame.md)

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.
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.

Hierarchical columns can also appear as a result of some [modification operations](modify.md):
* [group](group.md) produces [`ColumnGroup`](DataColumn.md#columngroup)
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2 changes: 1 addition & 1 deletion docs/StardustDocs/topics/readSqlDatabases.md
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Expand Up @@ -88,7 +88,7 @@ Find full example project [here](https://github.com/zaleslaw/KotlinDataFrame-SQL
To use the latest version of the Kotlin DataFrame library
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.

```jupyter
```
%use dataframe

USE {
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2 changes: 1 addition & 1 deletion docs/StardustDocs/topics/schemasImportOpenApiJupyter.md
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<!---IMPORT org.jetbrains.kotlinx.dataframe.samples.api.Schemas-->

Similar to [importing OpenAPI Data Schemas in Gradle projects](schemasGradle.md#openapi-schemas),
Similar to [importing OpenAPI Data Schemas in Gradle projects](schemasImportOpenApiGradle.md),
you can also do this in Jupyter Notebooks.

There is only a slight difference in notation:
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