R-Ladies Lightning Talks: 2022 edition!

Join us in June for an evening of short and insightful talks related to using R. Topics will highlight the breadth of use cases our members solve using R and the packages they love. Stay tuned as we update the list of topics and speakers!

We will update the zoom link the day of the event.

Agenda:
6:00 - 6:10 - Join online
6:10 - 6:15 - Welcome and announcements
6:15 - 7:30 - Talks

Speakers and Talk Titles:

• Jessie Pluto: Organizing My Massive R Markdown Report
• June Choe: Do more with dplyr's row-selecting verb slice()
• Michelle Chiu: Growing Up in R
• Kelsey Keith: Designing Copy Number Visualizations

Talk Descriptions:

Organizing My Massive R Markdown Report
A couple years ago, I developed a suite of standardized visualizations for my work. I used R and R Markdown to automate the workflow, from source data in Hadoop to the output of an interactive HTML report suitable for my business audience. The report included a dozen different visual templates which were applied and customized automatically based on the data input. It was the biggest R Markdown project I had developed, and I learned a lot in the process. In this lightning talk, I'll share how I used tabs and pills, parent-child nesting, and directory structure to keep it all organized. I'll share some code and discuss how the hierarchical structure helped me automate the output of dynamic inputs.

Jessie Pluto is a senior manager of a strategic analytics team at Comcast, supporting video engagement and content strategy. Jessie loves being an analyst in the TV-space, automating workflows, and using R to build functions, packages, visualizations and reports. Outside of work Jessie likes to spends her free time on long walks listening to podcasts and audiobooks, hiking with her dog, and watching TV.

Do more with dplyr's row-selecting verb slice()
When we think about subsetting rows of a data frame, our tidy-wired brains immediately jump to filter(). But sometimes, untidy data from the real world demands subsetting rows in ways that are difficult to achieve with filtering on column values. In this talk, I will introduce dplyr's row-selecting verb slice(), walk through some of its documented features, and showcase an undocumented but powerful method of selecting and rearranging row indices using a matrix.

June is a second year Ph.D. student in linguistics at the University of Pennsylvania, studying language acquisition and human sentence processing. Outside of research, June spends his free time pursuing his hobby in data visualization, reading about its design principles and code-based implementations.

Growing Up in R

Designing Copy Number Visualizations