Skip to main content
HomeRInsights into Bicycle Theft using Visualization

project

Insights into Bicycle Theft using Visualization

Intermediate
Updated 08/2024
Determine the patterns where bike theft is most likely to occur using visualizations.
Start Project for Free

Included withPremium or Teams

1 Task1,500 XP86

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Project Description

In bustling Toronto, bicycles have become a popular eco-friendly transport option, but bike thefts are rising, creating challenges for residents and urban planners. Here, you'll uncover patterns and trends in bike thefts through detailed data analysis using ggplot2.

Project Tasks

  1. 1
    Task 1

Technologies

R R

Topics

Data Visualization
Zehao Xu HeadshotZehao Xu

Data Scientist

My research area is in Data Visualization, Statistical Learning and Machine Learning. Right now, I am a DS of Pinterest.
See More

What do other learners have to say?