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Tableau

Trends in suicide rates over time comparing different WHO regions.

Age-Standardized Suicide Rates Dashboard

Overview

This repository presents an interactive Tableau dashboard analyzing age-standardized suicide rates across regions and sexes, alongside supporting data and project documentation.

The main components include:

  • data/Age_standardized.xlsx: WHO age-standardized suicide rates dataset (per 100,000 population) with confidence intervals.
  • workbook/Final_Project.twbx: Packaged Tableau workbook containing:
    • Africa Countries by Sex
    • Geographical Region Trends
    • Pie Chart – Regions
    • Suicide Rates – Lesotho
    • Trend of Suicide Rates Over Time
  • docs/Project_Plan.docx: Project plan outlining objectives, methodology, and deliverables.

Repository Structure

├── README.md                # Project overview and instructions
├── data/
│   └── Age_standardized.xlsx  # Raw data file
├── docs/
│   └── Project_Plan.docx      # Detailed project plan
└── workbook/
    └── Final_Project.twbx     # Tableau dashboard

Prerequisites

  • Tableau Desktop or Tableau Reader to open and interact with the .twbx workbook.
  • Microsoft Excel (or compatible) to view the raw data spreadsheet.

Getting Started

  1. Clone the repository
    git clone https://github.com/your-username/age-standardized-suicide-dashboard.git
    cd age-standardized-suicide-dashboard
  2. Open the data file in data/Age_standardized.xlsx to review the dataset structure.
  3. Launch Tableau and open workbook/Final_Project.twbx to explore the interactive visualizations.

Usage

  • Filter by Region/Sex: Use the dropdown filters in the dashboard to isolate specific regions or sexes.
  • Time-Series Analysis: Slide the year filter in "Trend of Suicide Rates Over Time" to examine temporal patterns.
  • Export Data: From any worksheet, click Worksheet -> Export -> Data to save filtered subsets as CSV.

Future Enhancements

  • Add Python/R scripts for preprocessing and extended statistical analysis under a scripts/ or notebooks/ folder.
  • Automate data refresh by connecting directly to the WHO API or database.
  • Deploy an online version of the dashboard using Tableau Public.

Contributing

Contributions are welcome! Please:

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature-name)
  3. Commit your changes (git commit -m "Add feature")
  4. Push to the branch (git push origin feature-name)
  5. Open a Pull Request

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