Competition
Crack the code of hairloss
As we age, hair loss becomes one of the health concerns of many people. The fullness of hair not only affects appearance, but is also closely related to an individual's health. A survey brings together a variety of factors that may contribute to hair loss, including genetic factors, hormonal changes, medical conditions, medications, nutritional deficiencies, psychological stress, and more. Through data exploration and analysis, the potential correlation between these factors and hair loss can be deeply explored and predicted, thereby providing a useful reference for the development of individual health management, medical intervention, and related industries.
Prize
$500 GIFT CARD
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- Level 1: Descriptive statistics (What is the average age? Which medical conditions are the most common? What types of nutritional deficiencies are there and how often do they occur?)
- Level 2: Visualization (What is the proportion of patients with hair loss in different age groups? What does hair loss look like under different stress levels?)
- Level 3: Machine learning (Use cluster analysis to explore whether there are different types of hair loss groups in the data set. Use algorithms such as decision trees or random forests to identify the key factors that best predict hair loss.)
Prizes
1st
$500 or a donation to a charitable cause of your choice
2nd
$400 or a donation to a charitable cause of your choice
3rd
$300 or a donation to a charitable cause of your choice
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
Recommendations (35%)
- Clarity of recommendations - how clear and well presented the recommendation is.
- Quality of recommendations - are appropriate analytical techniques used & are the conclusions valid?
- Quality of the executive summary.
Storytelling (35%)
- How well the data and insights are connected to the recommendation.
- How the narrative and whole report connects together.
- Balancing making the report in-depth enough but also concise.
Visualizations (20%), if applicable
- Appropriateness of visualization used.
- Clarity of insight from visualization.
Public upvotes (10%)
- Upvoting - most upvoted entries get the most points.
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.