20, Jun 2023

TRACK FORM SUBMISSION WITH R LANGUAGE

Palzin Track R Use Cases

Track when a form is submitted to your R application

These days, many R applications collect data from users in one way or another. This can be a simple form that contains some basic information such as name, email, and phone number. Or it can be a more complex form that collects information such as a user's address, credit card information, and more.

Most interactive R applications have some form and are commonly the primary way users interact with the application. Therefore, it is essential to track when a user submits a form in your R application and monitor whether the form submission is successful or whether the user has encountered an error and has not been able to submit the form.

In many cases, a minor problem in the form submission can cause a user to abandon the form and not complete the form submission. This can be a significant problem for your application as it can cause a considerable loss of revenue and user experience.

Fortunately, here at Palzin Track, we have created a powerful solution for this problem. Palzin Track is a powerful, real-time event tracking tool that works seamlessly with any R application. With Palzin Track, you can set up event tracking for anything you want and track when a user submits a form in your R application in real time. You may also set up optional rules to notify you and your team when a user has encountered an error and has not been able to submit the form.

In addition, Palzin Track allows you to track user journeys and create a timeline of events for each user. This way, you can always track the activity of a specific user, such as when they have submitted a form and any other activity they have done in your application.

Connect Palzin Track to R


Setting up Palzin Track

  1. Sign up for a free Palzin Track account.
  2. Create your first project from the dashboard.
  3. Head to settings and copy your API token.

R code snippets

Use the following code snippets to integrate Palzin Track with your R application. Please don't forget to replace the YOUR_API_TOKEN with your API token and update the project and channel names.

Using R with httr


library(httr)  


headers = c(  


 'Content-Type' = 'application/json',  


 'Authorization' = 'Bearer YOUR_API_TOKEN'  


)  


body = '{  


 "project": "my-project",  


 "channel": "forms",  


 "event": "Submitted Application",  


 "description": "User has submitted a form application",  


 "icon": "📰",  


 "notify": true  


}';  


res VERB("POST", url = "https://api.palzin.live/v1/log", body = body, add_headers(headers))  


cat(content(res, 'text'))

Using R with RCurl


library(RCurl)  


headers = c(  


 "Content-Type" = "application/json",  


 "Authorization" = "Bearer YOUR_API_TOKEN"  


)  


params = "{  


 \"project\": \"my-project\",  


 \"channel\": \"forms\",  


 \"event\": \"Submitted Application\",  


 \"description\": \"User has submitted a form application\",  


 \"icon\": \"📰\",  


 \"notify\": true  


}"  


res postForm("https://api.palzin.live/v1/log", .opts=list(postfields = params, httpheader = headers, followlocation = TRUE), style = "httppost")  


cat(res)

R integration details

We believe that event tracking should be simple and accessible to every developer and team. Therefore, we have worked hard to create the next generation of event tracking tools. As a result, Palzin Track is flexible and easy to use, making it a great companion for your R applications.

In addition to real-time event tracking, Palzin Track provides powerful features such as cross-platform push notifications, event filtering, user and product journeys, charts, insights, and more.

Palzin Track provides a generous free plan to get you started with event tracking. You can also check out our pricing page to see our paid plans. So don't hesitate to give us a try and let us know what you think!

Other use-cases for Palzin Track

  1. Monitor your CI/CD build status for your R application
  2. Monitor your CPU usage in your R application
  3. Monitor when database goes down in your R application
  4. Monitor high disk usage in your R application
  5. Monitor when a user changes their email address in your R application
  6. Monitor failed logins in your R application
  7. Monitor failed payments for your R application
  8. Monitor memory usage in your R application
  9. Monitor MySQL downtime in your R application
  10. Monitor when a new feature is used in your R application
  11. Monitor your Postgres downtime in your R application
  12. Monitor Redis downtime in your R application
  13. Monitor suspicious activity in your R application
  14. Monitor when a user exceeds the usage limit for your R service
  15. Monitor when a user is being rate limited in your R application
  16. Get a notification when your R code is done executing
  17. Send push notifications to your phone or desktop using R
  18. Track canceled subscriptions in your R application
  19. Track your R cron jobs
  20. Track when a file is uploaded to your R application
  21. Track payment events via R
  22. Track user sign in events in R
  23. Monitor user signup events via R
  24. Track waitlist signup events via R

Go Beyond the Metrics. Understand the Why.

Palzin Track reveals the human stories behind your data. Make user-centric decisions that drive growth.