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Insights into Bicycle Theft using Visualization

IntermediateSkill Level
4.8+
59 reviews
Updated 08/2024
Determine the patterns where bike theft is most likely to occur using visualizations.
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RData Visualization
1 hr
1 Task
1,500 XP

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Project Description

Insights into Bicycle Theft using Visualization

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.

Insights into Bicycle Theft using Visualization

Determine the patterns where bike theft is most likely to occur using visualizations.
Start Project
  • 1

    Task 1

Don’t just take our word for it

*4.8
from 59 reviews
90%
10%
0%
0%
0%
  • Rohit
    3 weeks ago

  • Rachid
    4 weeks ago

  • Mariel
    5 weeks ago

  • SITI KHADIJAH
    5 weeks ago

  • Anurag
    6 weeks ago

  • Silvia
    last month

Rohit

Rachid

Mariel

Join over 19 million learners and start Insights into Bicycle Theft using Visualization today!

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

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