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fix autoreplacing
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dataframe-json/src/test/kotlin/org/jetbrains/kotlinx/dataframe/io/JsonTests.kt

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}
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@Test
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fun `json with metadataframe column`() {
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fun `json with metadata frame column`() {
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val df = DataFrame.readJson(testJson("repositories"))
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val jsonStr = df.toJsonWithMetadata(df.rowsCount()).trimIndent()
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val json = parseJsonStr(jsonStr)

docs/StardustDocs/topics/spellingConventions.md renamed to docs/StardustDocs/topics/concepts/spellingConventions.md

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While reading Kotlin DataFrame documentation, you may come across several similar terms referring to different concepts:
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* **Kotlin DataFrame** — the name of the official library.
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* **Kotlin DataFrame** (or just "DataFrame") — the name of the official library.
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* *dataframe* — a general term for data in a tabular (frame) format.
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* [`DataFrame`](DataFrame.md) — a Kotlin type or its instance that represents a wrapper around a dataframe.
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docs/StardustDocs/topics/dataSources/Integrations.md

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# Custom integrations with unsupported data sources
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<web-summary>
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Examples of how to integrate Kotlin DataFrame with other dataframeworks like Exposed, Spark, or Multik.
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Examples of how to integrate Kotlin DataFrame with other data frameworks like Exposed, Spark, or Multik.
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</web-summary>
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<card-summary>
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Some data sources are not officially supported in the Kotlin DataFrame API yet —
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but you can still integrate them easily using custom code.
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Below is a list of example integrations with other dataframeworks.
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Below is a list of example integrations with other data frameworks.
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These examples demonstrate how to bridge Kotlin DataFrame with external libraries or APIs.
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- [Kotlin Exposed](https://github.com/Kotlin/dataframe/tree/master/examples/idea-examples/unsupported-data-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/examples/exposed)

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