Data science stakeholder communication is hard. The typical explanation of this is to parody data scientists as “too technical” to communicate with their audiences. But I’ve always found it unsatisfying to believe that “being technical” makes it too challenging to connect with the 0.1% of the population so similar to ourselves that we all happen to work in the same organization. Instead, I believe communication is rarely taught intentionally and, worse, is modeled poorly by educatio...| Emily Riederer
Literate programming tools like R Markdown and Quarto make it easy to convert analyses into aesthetic documents, dashbaords, and websites for public sharing. But what if you don’t want your results too public? I recently was working on a project that required me to set up a large number of dashboards with similar content but different data for about 10 small, separate organizations. As I considered by tech stack, I found that many Quarto users were asking similar questions, but understandab...| Emily Riederer
This book is designed to provide a range of examples of how to extend the functionality of your R Markdown documents. As a cookbook, this guide is recommended to new or intermediate R Markdown users who desire to enhance the efficiency of using R Markdown and also explore the power of R Markdown. Read online at https://bookdown.org/yihui/rmarkdown-cookbook/| www.emilyriederer.com
url_video: “” Quick Links Abstract Slides Video At Coalesce for dbt user audience: Slides Video At posit::conf for R user audience: Slides Video - posit::conf for R User Audience coming soon! Post - Column Name Contracts Post - Column Name Contracts in dbt Post - Column Name Contracts with dbtplyr Complex software systems make performance guarantees through documentation and unit tests, and they communicate these to users with conscientious interface design. However, published data tables...| Emily Riederer
It is all too easy to make a mistake putting a manuscript together: mistranscribe a number, forget to rerun some analyses after the data are revised, or simply bodge the round some numbers. Fortuna…| Musings on Quantitative Palaeoecology
