CompetitionsAnalyzing Crime in LA
Competition
Finished

Analyzing Crime in LA
You have been asked to support the Los Angeles Police Department (LAPD) by analyzing their crime data to identify patterns in criminal behavior. They plan to use your insights to allocate resources effectively to tackle various crimes in different areas.
Prize
KNOWLEDGE
Challenge yourself and try this competition for free
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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
- Examples could include examining how crime varies by area, crime type, victim age, time of day, and victim descent.
- You could build machine learning models to predict criminal activities, such as when a crime may occur, what type of crime, or where, based on features in the dataset.
- You may also wish to visualize the distribution of crimes on a map.
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.
1
Start your analysis in R + SQL or Python + SQL2
Create an insightful analysis3
Publish your work for review4
Share your publication to get upvotedJudging criteria
This competition is for helping to understand how competitions work. This competition will not be judged.
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.