# Kibana customized table **URL:** \ **Category:** Kibana\ **Created:** [November 26, 2019, 10:23am UTC](https://discuss.elastic.co/t/kibana-customized-table/209470 "2019-11-26T10:23:47Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Vladpov](https://avatars.discourse-cdn.com/v4/letter/v/8c91f0/32.png) [@Vladpov](https://discuss.elastic.co/u/Vladpov)\ **Post date:** [November 26, 2019, 10:23am UTC](https://discuss.elastic.co/t/kibana-customized-table/209470/1 "2019-11-26T10:23:47Z")
Hello everyone! I have an index where I monitor proxy http log messages that contain status codes 200-500 which I parse and index into elasticsearch so I can search them. I'm trying to create an easy table in kibana so I can see count of status codes occured on different endpoints. It could look something like the table below but it’s not a condition. ![image](https://us1.discourse-cdn.com/elastic/original/3X/8/1/81c1620143767c4e45d6d65af8bb8160125a86ed.png) I ended up with following table in Kibana: ![Sn%C3%ADmek%20obrazovky%20(124)](https://us1.discourse-cdn.com/elastic/original/3X/2/6/2645dc3f1bc2ca9ae4aa027709cc9f5c0856ccd0.png) Is there any possibility to get the response keyword into columns by their value and show the count? Thanks for any hints!! ---
**Author:** ![christophilus](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/christophilus/32/42991_2.png) [@christophilus](https://discuss.elastic.co/u/christophilus)\ **Post date:** [November 26, 2019, 4:31pm UTC](https://discuss.elastic.co/t/kibana-customized-table/209470/2 "2019-11-26T16:31:52Z")
You're looking for a pivot, which we don't currently support in our visualizations, but you can do something akin to it in Canvas, and probably in Vega. ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [December 24, 2019, 4:31pm UTC](https://discuss.elastic.co/t/kibana-customized-table/209470/3 "2019-12-24T16:31:55Z")
This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.