Project Overview
The **Healthy Diet Affordability Dashboard** is an interactive R Shiny application designed to visualize and analyze data related to the cost and accessibility of a healthy diet in Pakistan. Leveraging comprehensive data, this tool empowers policymakers, researchers, and the public to explore crucial trends, identify key indicators, and understand the economic barriers to nutrition. It provides a data-driven foundation for informed decisions aimed at improving public health and food security.
Key Features
Intuitive Overview
Get instant insights into total indicators tracked, time periods covered, data points, and average values for key metrics.
Dynamic Trend Analysis
Explore how different healthy diet indicators change over time with interactive line, area, and bar charts.
Comprehensive Data Explorer
Browse, filter, and search the raw dataset efficiently, with options to download the data.
Bilingual Interface
Seamlessly switch between English and Urdu to cater to a broader audience.
Professional UI/UX
A clean, modern design with a calming color palette ensures an engaging and user-friendly experience.
Data-Driven Insights
Quick insights sections provide contextual summaries and highlight crucial trends from the data.
Visual Highlights
Average Value per Indicator
This bar chart provides a comparative view of the average values across various indicators, offering a quick understanding of their magnitudes.
Indicator Trends Over Time
Observe the temporal progression of chosen indicators, highlighting upward or downward trends in healthy diet affordability or cost.
Technologies Utilized
- R Shiny: Core framework for the interactive web application.
- shinydashboard: For creating the structured dashboard layout.
- dplyr & tidyr: Powerful tools for data manipulation and cleaning.
- highcharter: For generating visually appealing and interactive charts.
- DT: For robust and feature-rich interactive data tables.
- rsconnect: For seamless deployment to shinyapps.io.
- HTML, CSS (Custom & bslib): For custom styling and responsive design.
Deployment
This dashboard is deployed on shinyapps.io, ensuring public accessibility and reliable performance. The deployment process involved configuring the `rsconnect` package to seamlessly push the R Shiny application and its data to the cloud.
About the Author
This project is a testament to the skills and dedication of Owais Ali Shah, an economics graduate and a passionate data analyst. Owais specializes in transforming complex economic data into clear, actionable insights through innovative data visualization and policy research. His commitment lies in building structured economic models and dynamic dashboards that serve public and educational purposes.