Building the Tidyverse From Scratch: Teaching Data Cleaning and Visualization with R-inspired Custom Scratch Blocks By Ludmila Janda Abstract: At Amplify, we are developing a series of middle school computer science lessons that will teach students to clean data and make graphs using a new visual programming interface based on Scratch by MIT. In the lessons, students will use manipulable blocks rather than written code. We have developed a new set of code blocks that are inspired by both the verbs from the dplyr package and the grammar of graphics approach used by ggplot. This talk will discuss how I have helped a diverse team of stakeholders draw from the principles of the tidyverse and develop this unique approach to teaching data science practices. Bio: Ludmila Janda is a Data Scientist at Amplify, a pioneer in K–12 education since 2000, leading the way in next-generation curriculum and assessment. Today, Amplify serves four million students in all 50 states. Luda’s work provides insights on student and teacher usage, student success, and Amplify’s broader impact. She is a proud RLady and has a Master’s in Public Policy from the University of North Carolina-Chapel Hill. Follow her on twitter at @ludmila_janda. Twitter: @ludmila_janda Presented at the 2019 New York R Conference (May 10th, 2019)