Hi Maveryx,
Welcome to your very first Cloud Quest! This initiative is a thrilling journey into the world of the Alteryx Analytics Cloud, and we are kicking things off with a focus on Alteryx Designer Cloud. These new quests are not only tests of your skills but also opportunities to delve deeper into the practical uses of Designer Cloud in handling real-world data issues.
In the world of data processing, text files often include quotes, which are commonly used to manage strings. This can pose a unique challenge for extract, transform, and load (ETL) programs due to the presence of multiple character types.
In this quest, you have a CSV file containing two rows of concatenated data that include double quotes, single quotes, and commas, which enclose different data types. Use Designer Cloud to separate the data into three different columns: Poem, Poem ID, and Poem Read Date. Refer to the image below to see how your solution should look.
If you find yourself struggling with any of the tasks, feel free to explore these interactive lessons in Maveryx Academy for guidance:
Once you have completed this quest, capture a screenshot of your finalized workflow in Designer Cloud and attach the image of your solution to a comment on this post.
Here’s to a successful quest!
SOLUTION
What a surprise to see a new category for cloud! Solved during the weekly challenge hour in Australia, using only brushing suggestions!
Hey everyone!
Just a heads-up!
In order to be automatically assigned badges, you need to upload a screenshot of the solution. We can perfectly check the solution by looking at your spoiler images, but unfortunately, for the badges, the system requires an attachment (it recognizes an attachment, but not a spoiler).
You have the option to easily edit your post and include an image attachment. 😊
Thank you!
Super excited for these quests! I used a few more tools than most of these posts, but I went through it in my head like how I use this weekly challenge (#2) in trainings.
Hmm....it didn't actually say to format the data as a date and int that I noticed, so as a previous dev who knows better than to add where it's not asked for without asking first, I didn't, although that's easy enough with a select and datetime tool at the end as needed. I do realize that internal ' and " might be an issue with my solution although I also followed the rule, "Know Thy Data".
Things are in new places but the tools feel the same!
I love the idea of these Quests!!!
1st Cloud Quest Completed. Could be done by Regex with less steps. Here i'm using Data Cleansing tools and Date Custom Formats.