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Challenge #222: Where There's a Whale There's a Way

Tberney
8 - Asteroid

The only thing working **bleep** this one is my laptop - lots of records! Also the whales I guess

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phoebe_kelley
9 - Comet

Fun and quick 🙂

kelly_gilbert
13 - Pulsar

There have been some really great challenges lately. I can't wait to do this one with my colleagues at work!

 

Spoiler
My solution is like many others, with the exception of pre-summarizing the whale data by whale ID and year. My general rule is always to reduce rows and columns as early as possible in a workflow, and that definitely made a difference with a dataset of this size.
 
Avg run time without pre-summarizing = 3.7 s
Avg run time with pre-summarizing = 2.7 s

I was also intrigued by @PhilipMannering and others' solutions using Find/Replace. I never would have thought to use that tool for this! On my laptop, it was a good bit slower, though (avg 5.9 s).

kelly_gilbert_0-1593632077835.png

 

Sudha8990AI
8 - Asteroid

Very Easy and Interesting one.

hamza_khan
7 - Meteor

Whale.....that wasn't too hard !

Inactive User
Not applicable

My solution 🙂

Gizzo1
5 - Atom

Just completed my first Weekly Challenge! Pretty fun, I'll definitely come back for next week's challenge!

 

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pasccout
8 - Asteroid

Here's my solution...

jyothiganti
7 - Meteor

Here is my solution.

jmt214
8 - Asteroid

Gotta love whales!

 

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