GMU Data Mining Traffic Violation Question

Question Description

I’m working on a computer science multi-part question and need an explanation and answer to help me learn.

1 Maryland Traffic Violations

Perform exploration analysis on the Kaggle Maryland Traffic Violations dataset.Answer the following questions:

1. Which colors of the vehicles are more likely to get involved in a trafficviolation?

2. Which models of the car are more likely to get involved in a traffic violation?

This is an open-ended question. I encourage you to try as many data preprocessing and exploratory analysis tasks as you can possibly do. I am ready to beimpressed.

2 Comments:

1. You can download the data here: Traffic Violations in Maryland County | Kaggle Its about 500 MB uncompressed. KaggleNotebook has a limit of 100 GB per dataset, and Google Colab has a limitof 70 GB storage.

2. You may use pluto as it is a powerful server with few restrictions. To worka data science project on pluto, the easiest way is to install an anacondaunder your own directory. Then use ssh tunnel to access your Notebookfrom a browser at any place, such as your home. You may Google SSHTunnel Jupyter Notebook for instructions.

3. You can also use your own computer.

4. R is also allowed for this homework.

5. The most relevant skill-set you may need for this assignment is Pandas.You may find a quick tutorial here: Learn Pandas Tutorials | Kaggle

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