Competition
Estimating the age of abalone at a seafood farm
You are working as an intern for an abalone farming operation in Japan. For operational and environmental reasons, it is an important consideration to estimate the age of the abalones when they go to market. Determining an abalone's age involves counting the number of rings in a cross-section of the shell through a microscope. Since this method is somewhat cumbersome and complex, you are interested in helping the farmers estimate the age of the abalone using its physical characteristics.
Prize
SWAG
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Your challenge
- How does weight change with age for each of the three sex categories?
- Can you estimate an abalone's age using its physical characteristics?
- Investigate which variables are better predictors of age for abalones.
Prizes
The winners will receive DataCamp merchandise.
How to get started
Create your most insightful analysis using DataLab, our in-browser tool to write, run, and publish data analyses. Once you’ve finished your work, you’ll need to publish it for review.
Judging criteria
This is a community-based competition. The top 5 most upvoted entries will win.
Rules
- Entries to the competition take the form of a workbook publication. Make sure the competition publication is publicly visible in order to be entered into the competition.
- Your publication should be focused on data provided within the competition.
- The competition is open and free to registered DataCamp users.
- Only one entry per user. You may update your entry up to the deadline.
- Make sure your competition workbook is published by the competition deadline in order for it to be valid.
- You can check the time left to submit on the counter at the top of this page.
Note: Please make sure you're 18+ years old and are allowed to take part in a skill-based competition from your country.