Data Analysis Hub
How to use CHIRPS Climate Data with PMA Nutrition Surveys
Remotely sensed daily precipitation data is an incredible resource for understanding rainfed food systems.
Infant and Young Child Feeding (IYCF) Indicators for PMA Nutrition Data
Use WHO guidelines to calculate Minimum Dietary Diversity (MDD), Minimum Meal Frequency (MMF), and Minimum Acceptable Diet (MAD).
Update: Matching Records in 2018 Nutrition Surveys
It's now much easier to perform row-wise operations with pre-grouped data!
Introducing PMA Nutrition Data
Nutrition surveys are available for women, young children, and health service providers in their area.
Multinomial Regression with Complex Survey Design
The PMA COVID-19 survey is part of a broader panel study. We discuss how to merge it with the baseline survey, and how to specify sample weights and cluster information with the new svyVGAM package.
New Online Course: Introduction to IPUMS PMA Data Analysis
Explore IPUMS PMA data with R right in your browser, or download Stata code for offline practice
Three ways to visualize binary survey data
You can compare levels of trust and efficacy for 13 information sources in 4 countries with data from the new PMA COVID-19 survey. Let's talk data visualization options.
Visualizing perceptions of risk from COVID-19
A guide to bar charts for Likert-type psychometric scales built with ggplot2.
Making Tables with PMA COVID-19 Data
Showcasing the gtsummary package for sample descriptive statistics, weighted population estimates, and model summary output.
New PMA COVID-19 Survey Data
A new panel study promises insights into the impact of COVID-19 on family planning and reproductive health.
Visualizing migration patterns over time
How to visualize patterns in migration data using alluvial plots, line plots, and density plots.
Making the Contraceptive Calendar Data Work For You
R and Stata code with video from an event held at the Population Association of America 2021 Annual Meeting.
Visualizing PMA Data with StoryMaps
Five outstanding undergraduate research projects integrate dynamic data visualization with spatial analysis and narrative.
Formatting Migration Recall Data for Longitudinal Analysis
Use tidyr::pivot_longer to reshape wide data into a long format.
Unmet need for family planning after internal migration
Summary and source code from a recent article using data from Ethiopia.
New SDP Data Available Spring 2021
Get details on new variables related to labor & delivery services, antenatal care, vaccinations, facility shipment schedules, and more!
Putting It All Together: Analyzing the Individual in Context
Analyzing women's contraceptive use while considering service delivery point and spatial contextual factors.
Merging external spatial data
How to integrate external spatial data with PMA data.
Mapping Service Delivery Point Data
Map spatial variation in the service delivery environment across enumeration areas.
Merging Service Delivery Point Data to Household & Female Records
Create aggregate measures for women living the areas served by SDPs
Recode and Summarize Variables from Multiple Response Questions
Use dplyr::across to summarize variables with a similar naming pattern.
Service Delivery Point Data Explained
SDP samples are not nationally representative. Learn how to use them to describe the health service environment experienced by individuals.
Import IPUMS PMA Data into R
How to download an IPUMS PMA data extract and start using it in R
Getting Started with R
How to download R for free and install some of the R packages used on this blog