[DOCS] Adds screenshot for Data Visualizer (#25182) (#25305)

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@ -7,42 +7,54 @@
As datasets increase in size and complexity, the human effort required to
inspect dashboards or maintain rules for spotting infrastructure problems,
cyber attacks, or business issues becomes impractical. The {xpackml} features
cyber attacks, or business issues becomes impractical. The Elastic {ml-features}
automatically model the normal behavior of your time series data — learning
trends, periodicity, and more — in real time to identify anomalies, streamline
root cause analysis, and reduce false positives.
{xpackml} runs in and scales with {es}, and includes an
The {ml-features} run in and scale with {es}, and include an
intuitive UI on the {kib} *Machine Learning* page for creating anomaly detection
jobs and understanding results.
You can use the *Job Management* pane to create and manage jobs and their
associated {dfeeds}:
If you have a basic license, you can use the *Data Visualizer* to learn more
about the data that you've stored in {es} and to identify possible fields for
{ml} analysis:
[role="screenshot"]
image::ml/images/ml-data-visualizer-sample.jpg[Data Visualizer for sample flight data]
experimental[] You can also upload a CSV, NDJSON, or log file (up to 100 MB in size).
The {ml-features} identify the file format and field mappings. You can then
optionally import that data into an {es} index.
If you have a trial or platinum license, you can <<ml-jobs,create {ml} jobs>>
and manage jobs and {dfeeds} from the *Job Management* pane:
[role="screenshot"]
image::ml/images/ml-job-management.jpg[Job Management]
You can use the *Settings* pane to add scheduled events to calendars and to
associate these calendars with your jobs:
You can use the *Settings* pane to create and edit
{stack-ov}/ml-calendars.html[calendars] and the filters that are used in
{stack-ov}/ml-rules.html[custom rules]:
[role="screenshot"]
image::ml/images/ml-calendar-management.jpg[Calendar Management]
image::ml/images/ml-settings.jpg[Calendar Management]
The *Anomaly Explorer* and *Single Metric Viewer* display the results of your
{ml} jobs. For example:
{ml} jobs. For example:
[role="screenshot"]
image::ml/images/ml-single-metric-viewer.jpg[Single Metric Viewer]
NOTE: The {xpack} {ml} features in {kib} use pop-ups. You must configure your
NOTE: The {kib} {ml-features} use pop-ups. You must configure your
web browser so that it does not block pop-up windows or create an exception for
your Kibana URL.
your {kib} URL.
For more information about {ml}, see
{xpack-ref}/xpack-ml.html[Machine Learning in the Elastic Stack].
{stack-ov}/xpack-ml.html[Machine learning in the {stack}].
--
include::creating-jobs.asciidoc[]
include::job-tips.asciidoc[]
//TO-DO: Add info about creating watch