# Trying to visualise q2-picrust2 data on R

**URL:** https://forum.qiime2.org/t/trying-to-visualise-q2-picrust2-data-on-r/25119
**Category:** PICRUSt2
**Tags:** qiime2r, picrust, r
**Created:** [January 3, 2023, 9:28am UTC](https://forum.qiime2.org/t/trying-to-visualise-q2-picrust2-data-on-r/25119 "2023-01-03T09:28:32Z")
**Posts on this page:** 1
**Showing post:** 2

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### Author: ![gregcaporaso](https://forum.qiime2.org/user_avatar/forum.qiime2.org/gregcaporaso/32/17769_2.png) [@gregcaporaso](https://forum.qiime2.org/u/gregcaporaso)
#### Post date: [January 3, 2023, 10:38pm UTC](https://forum.qiime2.org/t/trying-to-visualise-q2-picrust2-data-on-r/25119/2 "2023-01-03T22:38:39Z")

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Hi @Johanndb,  
I suspect that you have a `FeatureTable[Frequency]` as output that you're interested in working with. There are a lot of tools in QIIME 2 for downstream analysis of these - e.g., `core-metrics`. Most actions that can take a QIIME 2 `FeatureTable[Frequency]` that was generated for example with q2-dada2 should work with the result of q2-picrust2 (the exception would be actions that require another input that you might not have, like a phylogenetic tree).

If you specifically want to use R for your next steps, I recommend looking into using [qiime2R](https://github.com/jbisanz/qiime2R/) - that's a third party tool that is very popular for working with QIIME 2 data in R.

As for Venn diagrams, we don't have a direct way to generate those in QIIME 2, but [this post](https://forum.qiime2.org/t/creating-venn-diagram-to-show-shared-bacterial-taxa-among-two-sample-sets/23522) provides a suggestion.

In general, I would recommend doing a test such as [`beta-group-significance`](https://docs.qiime2.org/2022.11/plugins/available/diversity/beta-group-significance/), which will tell you if your groups are significantly dissimilar from each other in their composition as that will have a clearer interpretation. You could also pair that with a Venn diagram to aid in interpretation of the diagram (Jaccard distance might be a particularly relevant metric there, as it's effectively the sum of features that fall outside the intersection of two samples in a Venn diagram of their features).

Hope this helps!

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