Write-a-Data-Science-Blog-Post-Crims in Vancouver

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A Udacity Data Scientist Nanodegree Project

Table of Contents

1- Installation

2- Project motivation

3- File description

4- Results

5- Licensing, Authors, Acknowledgements

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1-Installation

Anaconda should be installed and to run the code file is not necessary of installing packages. Also, the code file it can run in python3, but these python libraries should be installed:

1- NumPy

2- Pandas

3- Matplotlib

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2- Project Motivation

In order to analyse the dataset, I have created four questions that related to crim in Vancouver and these questions may help to understand the issue and solve it:

Questions

Q1/Which year has the highest crime rate in Vancouver?

Q2/What is the most committed type of crime between year 2003 to 2017? What is the correlation between the type of crime and Time?

Q3/Find the corrleation between the type of crime and Time?

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3- File description

There is one notebook available to show the work and answering the question above.

crime.csv: This file contains 530652 rows × 12 columns about the crime in Vancouver, it contains different kind of variables such as numerical or categorical. It also contains missing values.

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4- Results

The main findings of the code can be found at the post available here.

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5- Licensing, Authors, Acknowledgements

Must give credit to Analytics Wilian Osaku and Kaggle for providing this data. The data and descriptive information can be found at Kaggle here.

License

Abduelalh Asiri,

License under the MIT License.