# Visualize user journey on a website **URL:** \ **Category:** Kibana\ **Created:** [July 11, 2023, 6:10am UTC](https://discuss.elastic.co/t/visualize-user-journey-on-a-website/338060 "2023-07-11T06:10:32Z")\ **Posts on this page:** 6\ **Page:** 1
**Author:** ![Neelam\_Zanvar](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/neelam_zanvar/32/103116_2.png) [@Neelam\_Zanvar](https://discuss.elastic.co/u/Neelam_Zanvar)\ **Post date:** [July 11, 2023, 6:10am UTC](https://discuss.elastic.co/t/visualize-user-journey-on-a-website/338060/1 "2023-07-11T06:10:32Z")
Hi , I want to visualize the various url visited by a spcific user along with the timestamp in a graph. i have the following data in es index, date: 11/Jul/2023:11:15:13.705 +0530 remote ip: 49.37.163.204 url: /3dpassport/api/public/i18n/local/en all are in text format. i want to visualize all the url visited from a specific ip based on the timestamp. which graph can i use? if i use bar graphs it is selecting default @timestamp field. i wan to use the date field ---
**Author:** ![tsullivan](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/tsullivan/32/31077_2.png) [@tsullivan](https://discuss.elastic.co/u/tsullivan)\ **Post date:** [July 13, 2023, 12:08am UTC](https://discuss.elastic.co/t/visualize-user-journey-on-a-website/338060/2 "2023-07-13T00:08:20Z")
I recommend using a data table visualization, since you want text information. You can have a date which comes from a date histogram aggregation, an column to group the IPs which comes from a terms aggregation, and a column to show the urls using the top hits aggregation. ---
**Author:** ![Neelam\_Zanvar](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/neelam_zanvar/32/103116_2.png) [@Neelam\_Zanvar](https://discuss.elastic.co/u/Neelam_Zanvar)\ **Post date:** [July 13, 2023, 6:33am UTC](https://discuss.elastic.co/t/visualize-user-journey-on-a-website/338060/3 "2023-07-13T06:33:49Z")
yes, i already have it in a table visualization. looking for a graphical visualization. like node diagram or sequence diagram. or sankey. ---
**Author:** ![upgradeyard](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/upgradeyard/32/123517_2.png) [@upgradeyard](https://discuss.elastic.co/u/upgradeyard)\ **Post date:** [July 17, 2023, 7:11am UTC](https://discuss.elastic.co/t/visualize-user-journey-on-a-website/338060/4 "2023-07-17T07:11:46Z")
To visualize the various URLs visited by a specific user along with the timestamp, you can use a line chart or an area chart. These types of graphs are suitable for displaying trends over time. Here's how you can create the visualization in Kibana based on your data: 1. **Access Kibana:** Open Kibana in your web browser and navigate to the Discover tab. 2. **Configure Time Filter:** In the top right corner, click on the time picker and select the desired time range that includes the data you want to visualize. 3. **Filter Data:** Use the search bar or filters to narrow down the data to a specific user or IP address. For example, you can use a query like `remote_ip: "49.37.163.204"` to filter by the IP address. 4. **Create Aggregation:** On the left side, click on the "Add" button to add a new aggregation. Select the "Terms" aggregation. 5. **Configure Aggregation:** Choose the field that represents the URL visited (e.g., `url`) as the aggregation field. Set a reasonable size for the number of buckets to display (e.g., 10, 20, or more, depending on the number of URLs). 6. **Add Sub-Bucket:** Click on the "Add sub-buckets" button and select the "Date Histogram" aggregation. 7. **Configure Sub-Bucket:** Choose the field that represents the timestamp (e.g., `date`) as the date field. Set an appropriate interval (e.g., hourly, daily, or based on your data). 8. **Visualize:** Click on the "Run" button to apply the aggregations and display the results. Switch to the Visualize tab. 9. **Select Chart Type:** Choose either the line chart or area chart, depending on your preference. Both options can effectively display trends over time. 10. **Configure Chart:** In the chart configuration settings, choose the URL field as the X-axis and the count of documents (or any other relevant metric) as the Y-axis. You can also customize the labels, colors, and other aspects of the chart to suit your needs. 11. **Save and Share:** Once you're satisfied with the visualization, save it and give it a meaningful name. You can then share it with your team or embed it in dashboards for easy access. By following these steps, you should be able to create a visual representation of the URLs visited by a specific IP address over time using the date field as the basis for your graph. For more information check this: [https://yardgearsguide.com/best-louvered-pergola/](https://yardgearsguide.com/best-louvered-pergola/) ---
**Author:** ![Neelam\_Zanvar](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/neelam_zanvar/32/103116_2.png) [@Neelam\_Zanvar](https://discuss.elastic.co/u/Neelam_Zanvar)\ **Post date:** [July 19, 2023, 7:52am UTC](https://discuss.elastic.co/t/visualize-user-journey-on-a-website/338060/5 "2023-07-19T07:52:59Z")
I didn't find terms aggregation and sub bucket. when i click on + this is what i get. I am using kibana 8.7.1 ![image](https://us1.discourse-cdn.com/elastic/original/3X/f/0/f0dd0efb3fd538a511a97468a84536079a7a349b.png) ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [August 16, 2023, 7:53am UTC](https://discuss.elastic.co/t/visualize-user-journey-on-a-website/338060/6 "2023-08-16T07:53:15Z")
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