Resolved: the group by and then using the any_value
in
Sign-Up Flow Optimization Analysis with SQL and Tableau
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SQL Query 2: Sign-Up Types and Errors - Part 2
i am asking about the query about sign-up types table.
in the code you use group by visitor_id and then by any_value function you are forcing the machine to select randomly from one of the rows in each group ? it means that for a specific visitor_id that for example have 3 failed attempts and one final successful sign up attempt the machine might choose the fail tag? this makes the result inaccurate i think.
thank you in advance
3 answers ( 0 marked as helpful)
Hi Amirreza!
You've made a very good observation! In this case, the function
For this analysis, we focus on the initial signup attempt, as it provides insights into how students first interacted with the system. If a student later retries successfully, the query still classifies their signup attempt as "successful retry", since we check for a registration date in the system. Additionally, failed attempts have registration date
Please note that in these lessons, we aim to demonstrate the logic behind such data analysis and how signup attempts are categorized, rather than getting into fine-tuned data extraction details. Feel free to experiment with the
Thank you and keep up the good work!
Best,
Ivan
You've made a very good observation! In this case, the function
ANY_VALUE() returns the first row from each group, which corresponds to the first signup attempt for each visitor. Even though ANY_VALUE() is designed to return an arbitrary value from each group, in practice, MySQL often picks the first row encountered based on its execution plan and indexing. Since we're grouping by visitor_id , MySQL retrieves data in the natural order of storage, which is typically in order of insertion (the earliest attempt for each visitor).For this analysis, we focus on the initial signup attempt, as it provides insights into how students first interacted with the system. If a student later retries successfully, the query still classifies their signup attempt as "successful retry", since we check for a registration date in the system. Additionally, failed attempts have registration date
IS NULL .Please note that in these lessons, we aim to demonstrate the logic behind such data analysis and how signup attempts are categorized, rather than getting into fine-tuned data extraction details. Feel free to experiment with the
MIN or MAX functions to further refine the analysis or adjust the query for greater precision. This allows you to focus on specific signup attempts and determine which ones are most relevant for different cases.Thank you and keep up the good work!
Best,
Ivan
Thank you so much I get it now👌
You're very welcome!