Important Community update: The process for changing your account details was updated on June 25th. Learn how this impacts your Community experience and the actions we suggest you take to secure your account here.

Weekly Challenges

Solve the challenge, share your solution and summit the ranks of our Community!

Also available in | Français | Português | Español | 日本語
IDEAS WANTED

Want to get involved? We're always looking for ideas and content for Weekly Challenges.

SUBMIT YOUR IDEA

Challenge #36: Data Cleansing Extract Authors

danielhoge
8 - Asteroid
Spoiler
Screenshot 2023-10-20 105838.png
99tyler99
8 - Asteroid

Alteryx Challenge 36 Extract Authors.png

afnfyz
8 - Asteroid

I am getting more and more comfortable with the crosstab and transpose tools!

Spoiler
Screenshot 2023-10-24 112551.png
Carolyn
9 - Comet

Solved - this was a good one 

 

Spoiler
2023-11-10_09-14-48.png
Tofel
8 - Asteroid
Spoiler
Challenge 36.JPG
AndrewDMerrill
13 - Pulsar

Simple but useful problem

Spoiler
Workflow.png
sknman92
8 - Asteroid

solution attached!

Rob-Silk
8 - Asteroid

My solution below:

Spoiler
challenge_36_RS_screencap.PNG
fluteman
8 - Asteroid

This one required some formatting. You need to determine each block of information as its own Unique ID; You also need to figure out which rows in a given block pertain to a given book variable indicated by AB-; TI- etc. Watch out for paragraphs within the TI and AB what contain words with a -, these will throw off the formatting.

 

Then you pair your unique ID with the actual PMID;

Filter on FAU.

 

I used summarize by concatenate by ";" and then text to columns (30) splitting this cell. 

 

As a check I measured how many authors were against each book. there's a book with 264 authors; so I capped my columns at 30 and thought that was the gist of this exercise!

jennifer_owens
8 - Asteroid

attached!