R

R Data Wrangling and Manipulation: Parts 1-2

November 18, 2024, 2:00pm
It is said that 80% of data analysis is spent on the process of cleaning and preparing the data for exploration, visualization, and analysis. This R workshop will introduce the dplyr and tidyr packages to make data wrangling and manipulation easier. Participants will learn how to use these packages to subset and reshape data sets, do calculations across groups of data, clean data, and other useful tasks.

R Data Visualization

November 5, 2024, 2:00pm
This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry layers, adding statistics, transforming scales, and coloring or panelling by groups. You will learn how to make histograms, boxplots, scatterplots, lineplots, and heatmaps as well as how to make compound figures.

R Data Visualization

October 28, 2024, 4:00pm
This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry layers, adding statistics, transforming scales, and coloring or panelling by groups. You will learn how to make histograms, boxplots, scatterplots, lineplots, and heatmaps as well as how to make compound figures.

R Data Visualization

October 9, 2024, 1:00pm
This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry layers, adding statistics, transforming scales, and coloring or panelling by groups. You will learn how to make histograms, boxplots, scatterplots, lineplots, and heatmaps as well as how to make compound figures.

Sharon Green

Senior Data Science Fellow 2024-2025, Data Science Fellow 2023-2024
Demography

Sharon Green is an epidemiologist and sociologist who studies population health. Her research examines how policies influence health disparities, how migration affects migrant-sending areas, and how social determinants shape mid- and late-life health inequities. Her work has been published in leading journals, including the New England Journal of Medicine, Social Science and Medicine – Population Health, and American Journal of Public Health. Sharon earned her PhD in Sociomedical Sciences and Sociology and her MPH from Columbia University as well as her BA from Johns Hopkins...

Anna Björklund

Senior Data Science Fellow 2024-2025, Data Science Fellow 2023-2024
Linguistics

I am a fifth-year PhD student in the Department of Linguistics with an areal interest in the Wintuan languages, traditionally spoken in the northern Sacramento Valley and now undergoing revitalization. My primary research interests are in leveraging archival recordings for the phonetic analysis of these under-documented languages, as well as designing tools to assist in their revitalization. I have worked as a linguistic consultant for the Paskenta Band of Nomlaki Indians since 2020 and the Wintu Tribe of Northern California since 2022. I received my MA in linguistics from UC...

Leah Lee

Senior Data Science Fellow 2024-2025, Data Science Fellow 2023-2024
Integrative Biology

I am a PhD candidate in the department of Integrative Biology. My research interest is at the intersection of biomechanics, entomology, and physiology. Currently I am studying how beetles use their shield-like forewings called elytra for flight, thermoregulation, and protection. Prior to UC Berkeley, I worked as a research assistant at Korea Institute of Ocean Science and Technology (KIOST), studying algae phylogenetics. I received my B.A. in Biology and Mathematics from Swarthmore College.

Alex Ramiller

Senior Data Science Fellow 2024-2025, Data Science Fellow 2023-2024
City and Regional Planning

I am a PhD Candidate in City and Regional Planning. My research focuses on the use of large administrative datasets to study residential mobility, neighborhood change, and housing access. I received a Master in Geography from the University of Washington and a Bachelor's in Economics and Geography from Macalester College. I have also consulted on analytical projects for several organizations including the San Francisco Federal Reserve Bank, PolicyLink, and the City of Seattle.

Farnam Mohebi

Data Science Fellow 2023-2024, Data Science for Social Justice Senior Fellow 2024
Haas School of Business

I am a PhD student at the Haas School of Business, University of California, Berkeley, and a researcher in the Department of Radiation Oncology at the University of California, San Francisco, having previously earned my MD and MPH degrees. My research focuses on the intersection of professionals and emerging technologies, drawing from the fields of medical sociology, organizational theory, and science and technology studies. I am particularly fascinated by the evolving relationship between physicians and artificial intelligence, the phenomenon of physician influencers, and the social...

Valeria Ramírez Castañeda

Data Science for Social Justice Fellow (2024-2025)
Integrative Biology

Valeria Ramírez Castañeda is a Colombian biologist currently pursuing a PhD in the Department of Integrative Biology at the University of California, Berkeley. I completed my undergraduate degree in Biology at the National University of Colombia and earned a master's degree in Ecology and Evolution, as well as another in Science Communication. During her PhD, she is studying the interactions between snakes and frogs and how this influences the evolution of toxin resistance in snakes. She is also collaborating and leading projects regarding the consequences of English in science and the...