saranpan/suicide-rate-poisson-regression

Poisson regression in R

Features

Table of contents

• Introduction
• Data
• What's included
• Bugs and feature requests
• Contributing
• Creators
• Thanks
• Copyright and license

Introduction

Nowaday, the suicide prevention campaign are now at every country which raise awareness, since the suicide count is rising exponentially. However, knowing the causality level of suicidal is a major key to prevent it.

with this problem, data is very useful we can use to identify the cause, so our team decided to find the dataset about suicide statistics,and the dataset we found out is from World Health Organization (WHO), which contain the count of death person from suicide for each country.

Each observation in this dataset contains country,year,sex,age, and population which we can use to predict suicide count

However, our limitation is only the country that belongs to Asia will be inspected, that is why we will filter the original dataset to only Asian countries (which we will filter via Python)

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Data

As we mentioned before that we use the dataset collected by WHO, so here is s the original dataset : WHO Suicide Statistics

Explanatory variable :

1. Country : there are 27 countries eg. Albania, Thailand, Japan (categorical)
2. Year : The time period happens eg. 1986, 2012 (numerical)
3. Sex: Male and female (categorical)
4. Age : The age range of the population eg. 15-24 years, 75+ years (categorical)
5. Population : The number of population of that country (numerical)

Response variable :

1. Suicides_no : suicide count (numerical)

Here's the first ten rows of the data we clean

Figure 1 : first ten rows of the data

How we clean the data before we use

1. Drop all rows that have missing value (NA); with the following R code

print('Total missing value : ',sum(is.na(data)))
>> 7716
na_count <-sapply(data, function(y) sum(length(which(is.na(y)))))
na_count <- data.frame(na_count)

print('missing value of each column')
print(na_count)

What's included

Some text

Bugs and feature requests

Have a bug or a feature request? Please first read the issue guidelines and search for existing and closed issues. If your problem or idea is not addressed yet, please open a new issue.

Contributing

Please read through our contributing guidelines. Included are directions for opening issues, coding standards, and notes on development.

Moreover, all HTML and CSS should conform to the Code Guide, maintained by Main author.

Editor preferences are available in the editor config for easy use in common text editors. Read more and download plugins at https://editorconfig.org/.

Creators

Creator 1

• https://github.com/usernamecreator1

Thanks

Some Text

Copyright and license

Code and documentation copyright 2011-2018 the authors. Code released under the MIT License.

Enjoy 🤘

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