R

Ella Belfer

Consultant
Energy and Resources Group

Ella is a PhD student in the Energy and Resources Group. Her research examines water governance in a changing climate, drawing on geo-spatial techniques. Her past work includes applications of topic modelling in climate change adaptation research, and inductive coding of semi-structured interviews.

Alex Stephenson

Senior Data Science Fellow
Political Science

I am a Ph.D. Student in the Travers Department of Political Science. My primary research interests are military organizations, policing, the determinants of political violence, and causal inference. I am also interested in creating tools to make software easier to use for non-technical political scientists.

Ash Tan

Consultant
School of Information

Ash is a Masters of Information and Data Science student at the Berkeley School of Information. He currently studies data collection, analysis, and visualization, as well as research design and machine learning techniques. His interests include cognitive science, Wikipedia data, and privacy research.

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R Fundamentals: Parts 1-4

October 25, 2021, 9:00am
This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.
See event details for participation information.

R Data Visualization with ggplot

October 22, 2021, 10:00am
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 Fundamentals: Parts 1-4

October 25, 2021, 9:00am
This workshop is a four-part introductory series that will teach you R from scratch with clear introductions, concise examples, and support documents. You will learn how to download and install the open-sourced R Studio software, understand data and basic manipulations, import and subset data, explore and visualize data, and understand the basics of automation in the form of loops and functions. After completion of this workshop you will have a foundational understanding to create, organize, and utilize workflows for your personal research.

R Advanced Data Wrangling: Parts 1-2

October 5, 2021, 2:00pm
Advanced Data Wrangling aims to help students to learn powerful data wrangling tools and techniques in R to wrangle data with less pain and more fun. This workshop will show how R can make your data wrangling process faster, more reliable, and interpretable.

Everett Wetchler

Instructor, Consultant
Psychology

Ex-programmer, ex-data-scientist, current PhD student in psychology.

Jose Aveldanes

Instructor, Consultant
Sociology

I'm a third-year Ph.D. student in Sociology and Demography. I'm broadly interested in families, social policy, and computational social science. I approach the study of social issues using nationally representative surveys and computational methods in an attempt to study inequality, culture, and demographic change.

Aniket Kesari, Ph.D.

Research Fellow
Berkeley Law

Aniket is a postdoctoral scholar at the D-Lab. He earned his Ph.D. from Berkeley Law, where he specialized in Law & Economics. He also holds a BA from Rutgers University – New Brunswick in Political Science and History and is a JD candidate at Yale University. His research focuses on privacy and cybersecurity law, and he is generally interested in using data science to tackle public policy problems. During his graduate career, he was a Google Public Policy Fellow, a Data Science for Social Good (DSSG) Fellow at the University of Chicago, and a Technology Policy Analyst Intern at...