Cloud Quest #1: Preparing Delimited Data

[AYXAcademy]

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.

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Hint: A combination of Formula, Text to Columns, and Select tools should be suffice to solve your problem!

If you find yourself struggling with any of the tasks, feel free to explore these interactive lessons in Maveryx Academy for guidance:

• Getting Started with Designer Cloud
• Building Connection in Designer Cloud
• Building Your Workflow in Designer Cloud

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

[serranoX]

Hi biancang. Thanks for starting doing Cloud Quests. 
I could recommend you to explore Upstream, when you upload the file this option --> Import Settings / Use First Row as header. 
It could help you in your workflow. 

Kind regards. 

[JeffF]

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I would have changed the Poem_ID to an INT, but that's not what the example output showed.

[FlorianC]

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Designer Cloud workflow

[geoff_zath]

Here is my solution:

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[Dlawless610]

Here is my solution. 

[RobertW]

Love these

[Ladarthure]

My solution for this challenge!

Very insightful, the way the find replace works is very pleasant to use (used to parse the dates since my browser is not set up in english).

Very satisfying also to get back to learning new Alteryx tools! feeling of both excitement and I know how this works!

 

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[YaGurlKate]

Definitely could get this done with fewer tools using Regex, but sometimes it's nice to just do the ol' drag and drop

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[MikeRoof]

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[teddim]

Here is my workflow

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