using the correct %dataFrameVersion% in docs this time. Post-PR #1705 hotfix

Author: Jolanrensen

docs/StardustDocs/topics/read.md

@@ -36,10 +36,10 @@ The input string can be a file path or URL.
 Before you can read data from CSV, make sure you have the following dependency:
 
 ```kotlin
-implementation("org.jetbrains.kotlinx:dataframe-csv:%dataframeVersion%")
+implementation("org.jetbrains.kotlinx:dataframe-csv:%dataFrameVersion%")
 ```
 
-It's included by default if you have `org.jetbrains.kotlinx:dataframe:%dataframeVersion%` already.
+It's included by default if you have `org.jetbrains.kotlinx:dataframe:%dataFrameVersion%` already.
 
 To read a CSV file, use the `.readCsv()` function.
 
@@ -305,10 +305,10 @@ val df = DataFrame.readCsv(
 Before you can read data from JSON, make sure you have the following dependency:
 
 ```kotlin
-implementation("org.jetbrains.kotlinx:dataframe-json:%dataframeVersion%")
+implementation("org.jetbrains.kotlinx:dataframe-json:%dataFrameVersion%")
 ```
 
-It's included by default if you have `org.jetbrains.kotlinx:dataframe:%dataframeVersion%` already.
+It's included by default if you have `org.jetbrains.kotlinx:dataframe:%dataFrameVersion%` already.
 
 To read a JSON file, use the `.readJson()` function. JSON files can be read from a file or a URL.
 
@@ -536,10 +536,10 @@ For more examples, see the "examples/json" module.
 Before you can read data from Excel, add the following dependency:
 
 ```kotlin
-implementation("org.jetbrains.kotlinx:dataframe-excel:%dataframeVersion%")
+implementation("org.jetbrains.kotlinx:dataframe-excel:%dataFrameVersion%")
 ```
 
-It's included by default if you have `org.jetbrains.kotlinx:dataframe:%dataframeVersion%` already.
+It's included by default if you have `org.jetbrains.kotlinx:dataframe:%dataFrameVersion%` already.
 
 To read an Excel spreadsheet, use the `.readExcel()` function. Excel spreadsheets can be read from a file or a URL. Supported
 Excel spreadsheet formats are: xls, xlsx.
@@ -588,10 +588,10 @@ val df = DataFrame.readExcel("mixed_column.xlsx", stringColumns = StringColumns(
 Before you can read data from Apache Arrow format, add the following dependency:
 
 ```kotlin
-implementation("org.jetbrains.kotlinx:dataframe-arrow:%dataframeVersion%")
+implementation("org.jetbrains.kotlinx:dataframe-arrow:%dataFrameVersion%")
 ```
 
-It's included by default if you have `org.jetbrains.kotlinx:dataframe:%dataframeVersion%` already.
+It's included by default if you have `org.jetbrains.kotlinx:dataframe:%dataFrameVersion%` already.
 
 To read Apache Arrow formats, use the `.readArrowFeather()` function:
 

docs/StardustDocs/topics/readSqlDatabases.md

@@ -63,7 +63,7 @@ Also, there are a few **extension functions** available on `Connection`,
 First, you need to add the dependency
 
 ```kotlin
-implementation("org.jetbrains.kotlinx:dataframe-jdbc:%dataframeVersion%")
+implementation("org.jetbrains.kotlinx:dataframe-jdbc:%dataFrameVersion%")
 ```
 
 after that, you need to add the dependency for the database's JDBC driver, for example

docs/StardustDocs/topics/readSqlFromCustomDatabase.md

@@ -21,11 +21,11 @@ Add the following dependencies and dataframe plugin to your `build.gradle.kts`:
 
 ```kotlin
 plugins {
-    id("org.jetbrains.kotlinx.dataframe") version "%dataframeVersion%"
+    id("org.jetbrains.kotlinx.dataframe") version "%dataFrameVersion%"
 }
 
 dependencies {
-    implementation("org.jetbrains.kotlinx:dataframe:%dataframeVersion%")
+    implementation("org.jetbrains.kotlinx:dataframe:%dataFrameVersion%")
     implementation("org.hsqldb:hsqldb:$version")
 }
 ```

docs/StardustDocs/topics/schemas/gradle/schemasImportOpenApiGradle.md

@@ -27,7 +27,7 @@ get enums, correct inheritance and overall better type safety.
 First of all, you will need the extra dependency:
 
 ```kotlin
-implementation("org.jetbrains.kotlinx:dataframe-openapi:%dataframeVersion%")
+implementation("org.jetbrains.kotlinx:dataframe-openapi:%dataFrameVersion%")
 ```
 
 OpenAPI type schemas can be generated using both methods described above:

docs/StardustDocs/topics/write.md

@@ -54,7 +54,7 @@ val jsonStr = df.toJson(prettyPrint = true)
 Add dependency:
 
 ```kotlin
-implementation("org.jetbrains.kotlinx:dataframe-excel:%dataframeVersion%")
+implementation("org.jetbrains.kotlinx:dataframe-excel:%dataFrameVersion%")
 ```
 
 You can write your [`DataFrame`](DataFrame.md) in XLS, XLSX format to a file, `OutputStream` or Workbook object.
@@ -141,7 +141,7 @@ df.filter { person -> !person.isHappy }.remove("isHappy")
 Add dependency:
 
 ```kotlin
-implementation("org.jetbrains.kotlinx:dataframe-arrow:%dataframeVersion%")
+implementation("org.jetbrains.kotlinx:dataframe-arrow:%dataFrameVersion%")
 ```
 
 > Make sure to follow an