cd2030 User Guide

1 Introduction

Welcome to the cd2030 User Guide! This guide is designed to help you navigate the features and functionality of the cd2030 Shiny app. It provides step-by-step instructions for data loading, analysis, visualization, and report generation.

1.1 About the App

The cd2030 Shiny App is a tool for analysing, visualizing, and reporting cd2030 vaccines data. Designed for researchers, policy makers, and program managers, it integrates various datasets including UN estimates, WUENIC estimates, survey data, and health facility data, to generate actionable insights and customizable reports.

1.2 Key Features

The app offers a range features to streamline your data analysis workflow:

  • Data Integration: Easily upload and manage data from multiple sources. Supported formats and specific instructions will be detailed in the “Data Input” section.
  • Dynamic Visualizations: Generate charts, tables, and summaries to explore trends and patterns.
  • Custom Annotations: Add notes and explanations directly within the app to enhance documentation and provide context for your analysis.
  • Report Generation: Create reports in various formats to suit your needs.

1.3 Prerequisites

Before using the app, ensure you have the following:

  • Software
    • R (version 4.0 or higher)
    • RStudio
  • R Packages: The required R packages will be automatically installed upon first launch if not already present. A full list of dependencies can be found in the “Installation” section.
  • Data: Access to necessary datasets
    • UN estimates
    • WUENIC estimates
    • Country-specific survey data
    • Health facility datasets for analysis.

1.4 How to Use This Guide

This guide is structured to guide you through the app’s functionalities, from set-up to advanced usage. Use the sidebar to navigate to specific sections:

  • Installation: Detailed instructions for installing the app and its dependencies.
  • Data Input: Step-by-step guidance on loading and managing your data.
  • Data Analysis and Visualization: Comprehensive explanations of the available analytical tools and visualization options.
  • Report Generation: Instructions on creating reports.
  • Troubleshooting: Solutions to common issues and frequently asked questions.

1.5 Acknowledgement

This app and guide were developed by the African Population and Health Research Centre (APHRC).