We posted the solution JSON file to Cloud Quest #42. Check it out and let us know what you think! Send suggestions to academy@alteryx.com or leave a comment below!
For more detailed instructions on how to import and export Designer Cloud workflow files, check out the pinned article Cloud Quest Submission Process.
Nobody likes getting stuck in an airport waiting for a delayed flight. Using the dataset USA Flights 2021.csv, which includes a random sample of flights in 2021, analyze how delays played out during the summer months (June 21 through September 22, 2021). Use the other provided datasets to complete the following:
Tasks
1. Identify the five airlines that had the most delays during this time.
2. Identify which airline had the single longest delay and the date it happened.
3. Identify the five airports with the highest number of delayed flights.
4. Count how many flights were canceled that summer.
Helpful Info
Hint: Try using the DateTimeParse() function to convert flight dates to Alteryx date data.
Data source: https://www.transtats.bts.gov/DL_SelectFields.aspx?gnoyr_VQ=FGK&QO_fu146_anzr=b0-gvzr
Image: generated by Google Gemini, September 16, 2025.
After completing your quest, head back to your Analytics Cloud library:
- The Academy Team
Download Start File | Download Solution File
Fun challenge! Always love a travel-related quest 😊
Dang it @alexnajm ! You were too fast and beat me (again)! :-p
@Carolyn haha I am sure you'll beat me next time 😁
It is not a fight 😁