# Post-ML job, visualizing non-anomalous data

**URL:** <https://discuss.elastic.co/t/post-ml-job-visualizing-non-anomalous-data/106614>\
**Category:** Kibana\
**Tags:** elastic-stack-machine-learning\
**Created:** [November 7, 2017, 3:39am UTC](https://discuss.elastic.co/t/post-ml-job-visualizing-non-anomalous-data/106614 "2017-11-07T03:39:01Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![jeopardy](https://avatars.discourse-cdn.com/v4/letter/j/e0b2c6/32.png) [@jeopardy](https://discuss.elastic.co/u/jeopardy)\
**Post date:** [November 7, 2017, 3:39am UTC](https://discuss.elastic.co/t/post-ml-job-visualizing-non-anomalous-data/106614/1 "2017-11-07T03:39:01Z")

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Hi. Currently trying out X-pack. I successfully ran a multi-metric machine learning job for anomaly detection, and I can navigate through Anomaly Explorer and Single Metric Viewer just fine. However, I'm interested in looking at the visualizations for my non-anomalous data, but it seems that the Split variable dropdown menu in Single Metric Viewer only allows me to select those that _are_ anomalous? Is there a way for me to see the time series visualizations for the data splits that don't have anomalies? I'd like to compare visualizations to get a better understanding of what a non-anomalous time series _should_ look like for this data set.

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**Author:** ![richcollier](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/richcollier/32/115035_2.png) [@richcollier](https://discuss.elastic.co/u/richcollier)\
**Post date:** [November 7, 2017, 2:42pm UTC](https://discuss.elastic.co/t/post-ml-job-visualizing-non-anomalous-data/106614/2 "2017-11-07T14:42:52Z")

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This is true - the ML UI is currently not designed to explore non-anomalous data. The good thing is, there's an entire set of other tools in Kibana that will! Check out Timelion or the Time Series Visual Builder components of Kibana. Here's a recent TSVB blog that shows how to overlay anomalies on series you plot (if the anomalies exist): [https://www.elastic.co/blog/time-series-annotations-and-anomalies-with-kibana](https://www.elastic.co/blog/time-series-annotations-and-anomalies-with-kibana)

In this way, you can simultaneously plot anomalous or non-anomalous series (or both)

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**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [December 5, 2017, 2:43pm UTC](https://discuss.elastic.co/t/post-ml-job-visualizing-non-anomalous-data/106614/3 "2017-12-05T14:43:06Z")

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