Molly Huie - Data for Everyone: Using Shiny to Make Data Accessible for Non-Technical Colleagues
Data for Everyone: Using Shiny to Make Data Accessible for Non-Technical Colleagues by Molly Huie Visit https://rstats.ai/nyr/ to learn more. Abstract: When you’re the data person (or team) in an organization full of non-technical folks, how do you make data accessible? You make it Shiny! In this talk I’ll share about the organization at Bloomberg Law, how we’re striving to infuse our content with data and create a data-driven culture, and how my team has created shiny dashboards to help further this mission. Spoiler alert – it works! Bio: Molly Huie is the Team Lead for Data Analysis & Surveys, specializing in research design, custom surveys, statistics, and data science. Molly has been with Bloomberg Law since 2015, creating surveys and data-driven content, most notably Bloomberg Law’s DEI Framework. Previously, she worked for Forrester Research managing global, syndicated surveys, primarily in the financial space. Molly has a BA from Butler University and an MS from the State University of New York (SUNY). Twitter: https://twitter.com/mollyhuie Presented at the 2022 New York R Conference (June 9, 2022)