Communicate More Effectively and Efficiently

In early 2020, Juan Clavijo from ORS Impact sought help from R for the Rest of Us to automate over 50 reports on outreach efforts during the U.S. Census. ORS Impact, partnered with the Democracy Funders Collaborative, needed to efficiently combine quantitative data on populations and qualitative data on outreach. Using R, they developed a collaborative approach, automating the generation of high-quality reports with charts, maps, and descriptions. This process allowed ORS to rapidly produce and revise 52 reports, achieving their goals without extensive manual effort.

In 2020, the Partnership for Strong Communities (PSC) collaborated with Connecticut Data Collaborative (CTData) to update Housing Data Profiles for Connecticut's 169 towns and 7 counties. These reports, crucial for policymakers and developers, needed automation to replace the cumbersome manual process. PSC and CTData enlisted R for the Rest of Us to automate report generation using R. We created a customized report template and implemented parameterized reporting, resulting in visually appealing, easily updated reports that provide essential housing data insights efficiently.

The Ford Family Foundation sought to create the Oregon by the Numbers report, highlighting social and economic indicators for the state's 36 counties. Initially presented as tables of data, I transformed it into a visually appealing report, collaborating with their staff over several months. The final report effectively communicates the strengths and challenges of Oregon’s counties. Widely shared with policymakers, media, and stakeholders, it has garnered significant attention and impact.

The World Health Organization's Immunization Agenda 2030 (IA2030) aims to improve global vaccine access. To better report progress, the International Vaccine Access Center at Johns Hopkins University partnered with R for the Rest of Us in 2023. They produced 72 user-friendly country-level reports in English and French, using parameterized reporting. These reports highlight individual country progress, use less technical language than previous online scorecards, and are in a printable PDF format for review.

For the last 15 years, the International Vaccine Access Center (IVAC) at Johns Hopkins University has produced an annual report on the impact of pneumonia and diarrhea around the world. In the past, the major challenge in putting this report together was time. Data would come in close to the deadline to release the report and it was a scramble to get everything ready.

In March 2021, Kathleen Doll from Intention2Impact collaborated with R for the Rest of Us and the Asian Pacific Islander (API) Council to map food resources for San Francisco's API community. Automating data collection with R, we used tidycensus, osmdata, and web scraping tools. We created an interactive website map for the entire city and specific neighborhoods. These maps, matching the API Council’s branding, can be easily updated with new data by re-running the R code.

Moving to R has helped the OMNI Institute dramatically improve the efficiency of their workflow, including automated data tracking and generating dozens of reports automatically.

Sustain East Africa (SEA) reached to R for the Rest of Us about developing a custom package to assist in their reporting work. The package we developed has functions to create custom tables, ggplot themes, and a custom R Markdown template, all done with SEA branding. The resulting package enables SEA to more easily and beautifully report on their results.