# Visualizing data from multiply indices
**URL:** https://discuss.elastic.co/t/visualizing-data-from-multiply-indices/170327
**Category:** Kibana
**Created:** [February 28, 2019, 11:26am UTC](https://discuss.elastic.co/t/visualizing-data-from-multiply-indices/170327 "2019-02-28T11:26:36Z")
**Posts on this page:** 4
**Page:** 1
### Author:  [@Muhammad\_Saleem](https://discuss.elastic.co/u/Muhammad_Saleem)
#### Post date: [February 28, 2019, 11:26am UTC](https://discuss.elastic.co/t/visualizing-data-from-multiply-indices/170327/1 "2019-02-28T11:26:36Z")
So, I have user interaction store in the index called "user\_interaction" which includes all the data about the user interaction on the website and I have user information stored in another index known as "user\_details" which include data about the user.
How can I use the data from both the indexes to make visualization in kibana i.e. Most frequent user on the website? and other
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### Author:  [@nickpeihl](https://discuss.elastic.co/u/nickpeihl)
#### Post date: [February 28, 2019, 7:19pm UTC](https://discuss.elastic.co/t/visualizing-data-from-multiply-indices/170327/2 "2019-02-28T19:19:16Z")
[Timelion](https://www.elastic.co/guide/en/kibana/current/timelion-create.html) can plot data from multiple indices into the same visualization using multiple expressions. Example: `.es(index=index1-*, metric=count), .es(index=index2-*, metric=count)`
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### Author:  [@Muhammad\_Saleem](https://discuss.elastic.co/u/Muhammad_Saleem)
#### Post date: [March 4, 2019, 11:49am UTC](https://discuss.elastic.co/t/visualizing-data-from-multiply-indices/170327/3 "2019-03-04T11:49:24Z")
Using Timelion limit me for only time-series analysis. I am more looking into visualization using piechart, datatable and bar chart.
Should I try to first join the two indexes(using a join column) and then try to visualize using kibana?
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### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [April 1, 2019, 11:57am UTC](https://discuss.elastic.co/t/visualizing-data-from-multiply-indices/170327/4 "2019-04-01T11:57:55Z")
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