[8.x] Updates file format details for Data Visualizer documentation (e…

…lastic#193819) (elastic#193883)

# Backport

This will backport the following commits from `main` to `8.x`:
- [Updates file format details for Data Visualizer documentation
(elastic#193819)](elastic#193819)

<!--- Backport version: 9.4.3 -->

### Questions ?
Please refer to the [Backport tool
documentation](https://github.com/sqren/backport)

<!--BACKPORT
[{"author":{"name":"kosabogi","email":"105062005+kosabogi@users.noreply.github.com"},"sourceCommit":{"committedDate":"2024-09-24T14:37:43Z","message":"Updates
file format details for Data Visualizer documentation (elastic#193819)\n\n##
Overview\r\n\r\nThis update adds details to the Data Visualizer
documentation,\r\nspecifying supported file formats and their size
limits.\r\n**Related
issue:**\r\n[elastic#189](https://github.com/elastic/search-docs-team/issues/189)\r\n\r\n###
Preview\r\n\r\n[Machine
Learning]()\r\n\r\n---------\r\n\r\nCo-authored-by: Liam Thompson
<32779855+leemthompo@users.noreply.github.com>","sha":"37af7304f01776e3d89afcbe596a76048371cff8","branchLabelMapping":{"^v9.0.0$":"main","^v8.16.0$":"8.x","^v(\\d+).(\\d+).\\d+$":"$1.$2"}},"sourcePullRequest":{"labels":["Team:Docs","release_note:skip","v9.0.0","v8.16.0","backport:version"],"title":"Updates
file format details for Data Visualizer
documentation","number":193819,"url":"https://github.com/elastic/kibana/pull/193819","mergeCommit":{"message":"Updates
file format details for Data Visualizer documentation (elastic#193819)\n\n##
Overview\r\n\r\nThis update adds details to the Data Visualizer
documentation,\r\nspecifying supported file formats and their size
limits.\r\n**Related
issue:**\r\n[elastic#189](https://github.com/elastic/search-docs-team/issues/189)\r\n\r\n###
Preview\r\n\r\n[Machine
Learning]()\r\n\r\n---------\r\n\r\nCo-authored-by: Liam Thompson
<32779855+leemthompo@users.noreply.github.com>","sha":"37af7304f01776e3d89afcbe596a76048371cff8"}},"sourceBranch":"main","suggestedTargetBranches":["8.x"],"targetPullRequestStates":[{"branch":"main","label":"v9.0.0","branchLabelMappingKey":"^v9.0.0$","isSourceBranch":true,"state":"MERGED","url":"https://github.com/elastic/kibana/pull/193819","number":193819,"mergeCommit":{"message":"Updates
file format details for Data Visualizer documentation (elastic#193819)\n\n##
Overview\r\n\r\nThis update adds details to the Data Visualizer
documentation,\r\nspecifying supported file formats and their size
limits.\r\n**Related
issue:**\r\n[elastic#189](https://github.com/elastic/search-docs-team/issues/189)\r\n\r\n###
Preview\r\n\r\n[Machine
Learning]()\r\n\r\n---------\r\n\r\nCo-authored-by: Liam Thompson
<32779855+leemthompo@users.noreply.github.com>","sha":"37af7304f01776e3d89afcbe596a76048371cff8"}},{"branch":"8.x","label":"v8.16.0","branchLabelMappingKey":"^v8.16.0$","isSourceBranch":false,"state":"NOT_CREATED"}]}]
BACKPORT-->

Co-authored-by: kosabogi <105062005+kosabogi@users.noreply.github.com>

docs/user/ml/index.asciidoc

@@ -19,10 +19,22 @@ if your data is stored in {es} and contains a time field, you can use the
 [role="screenshot"]
 image::user/ml/images/ml-data-visualizer-sample.png[{data-viz} for sample flight data]
 
-You can also upload a CSV, NDJSON, or log file. The *{data-viz}*
-identifies the file format and field mappings. You can then optionally import
-that data into an {es} index. To change the default file size limit, see
-<<kibana-general-settings, fileUpload:maxFileSize advanced settings>>.
+You can upload different file formats for analysis with the *{data-viz}*.
+
+File formats supported up to 500 MB:
+* CSV
+* TSV
+* NDJSON
+* Log files
+
+File formats supported up to 60 MB:
+* PDF
+* Microsoft Office files (Word, Excel, PowerPoint)
+* Plain Text (TXT)
+* Rich Text (RTF)
+* Open Document Format (ODF)
+
+The *{data-viz}* identifies the file format and field mappings, and you can import the data into an {es} index. To change the default file size limit, see <<kibana-general-settings, `fileUpload:maxFileSize`>> in advanced settings.
 
 If {stack-security-features} are enabled, users must have the necessary
 privileges to use {ml-features}. Refer to