CuiyiLIU / Global-Suicide-Analysis

Our study aims to explore the suicides pattern from the year 1985 to the year 2016 through global, continent and country scales, as well as gender, age, GDP and generation factors. The descriptive exploration obtained will then be verified through statistical inferential analysis. We set the target audience as World Health Organization officer who are concerned to track the trend and factors associated with suicides, as we wish the analysis will provide insights and inspire necessary actions taken on suicides prevention.

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File Structure:

Step-by-Step Manual

Move Files

Please keep data file master.xlsx, master.csv, shiny_v1.0. R and Base_Analysis.R at the same working directory

Installing

Please take note below packages are required to be installed before running Shiny App, if not please run below commands:

  • install.packages(shiny)
  • install.packages(shinydashboard)
  • install.packages(ggplot2)
  • install.packages(dplyr)
  • install.packages(tidyverse) # general
  • install.packages(ggalt) # dumbbell plots
  • install.packages(countrycode) # continent
  • install.packages(rworldmap) # quick country-level heat maps
  • install.packages(gridExtra) # plots
  • install.packages(broom) # significant trends within countries
  • install.packages(readxl)
  • install.packages(DT)
  • install.packages(highcharter)
  • install.packages(viridis)

Testing

After installation completes, please run app shiny_v1.0.R

Test 1:

If below screening comes out, verification 1 success.

Test 2:

Click menu Exploratory Analysis – Continent, If below screening comes out, verification 2 success.

About

Our study aims to explore the suicides pattern from the year 1985 to the year 2016 through global, continent and country scales, as well as gender, age, GDP and generation factors. The descriptive exploration obtained will then be verified through statistical inferential analysis. We set the target audience as World Health Organization officer who are concerned to track the trend and factors associated with suicides, as we wish the analysis will provide insights and inspire necessary actions taken on suicides prevention.


Languages

Language:R 100.0%