PPVC Value Chain Ranking – Data Visualisation & Graphics Project

This repository contains the data visualisation, graphics design, and copyediting work I produced for the PPVC Value Chain Ranking Report, a research assignment completed for ANAPRI under the The Policy Prioritization through Value Chain Analysis (PPVC) .

The analytical research for this work was carried out by the Institute of Statistical, Social and Economic Research (ISSER), Ghana. My role involved:

• Data cleaning and preparation for visual outputs
• Designing charts, infographics, and visual narratives
• Ensuring consistency with report styling and design guidelines
• Copyediting and enhancing clarity of insights
• Producing final, publication-ready PNG graphics

The data used here is non-confidential.

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1. Overview

This repository documents the workflow and visual outputs used to support value chain prioritisation under the PPVC project. The analysis focuses on comparing agricultural value chains across multiple metrics including:

• Scalability
• Natural resource use
• Production volatility
• Poverty impact
• Diet and nutrition contribution
• Business development indicators
• Final ranking composites

All visualisations were produced using R, primarily with:

• dplyr
• ggplot2
• fmsb
• tidyr
• GGally
• patchwork

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2. Repository Structure

/data           # Non-confidential datasets
/plots          # PNG charts and graphics
/reports        # Optional R Markdown / Quarto rendered outputs / PDF report
/scripts        # All R scripts used to generate 
README.md

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3. Key Visualisations

A high-level comparison of all value chains across three core PPVC indicators.

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4. Methodology Summary

A simplified structure of the steps behind the outputs:

1. Data Import & Cleaning

   • Normalising column names
   • Handling missing or inconsistent entries
   • Creating derived indicators

2. Metric Preparation

   • Standardising values
   • Re-scaling for radar charts
   • Constructing composite scores

3. Visualisation Design

   • Applying consistent colour schemes
   • Enhancing readability for report publication
   • Using a minimalist, professional design style

4. Export & Formatting

   • All charts exported as high-resolution PNGs
   • Designed for embedding in professional reports

This process ensured that the final graphics were both analytically sound and visually compelling.

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5. Other Tools Used

• R (RStudio)
• tidyverse

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6. Credits & Acknowledgements

• ANAPRI – Project Client
• Institute of Statistical, Social and Economic Research (ISSER), Ghana – Lead Research Institution