1. Clean raw answers and score respondents | 2. Build the survey design once | 3. Prevalence | Age standardisation | Which conditions occur together? | How much could "don't know" answers matter? | 4. Socioeconomic inequality | 5. Child undernutrition from DHS-coded z-scores | 6. Experimental: mapping and machine learning | How the example data were made

Prevalence with design-based confidence intervals | Age-standardised comparisons

Introduction | Setup and Package Loading | Phase 1: Cleaning Anthropometric Data | Phase 2: Specifying the Complex Survey Design | Phase 3: Calculating the Concentration Index | Interpretation

Introduction | Setup and Package Loading | The Universal Mapping Workflow | 1. Preparing the Data | 2. Generating the Spatial Plot | Interpretation