R

Finley Golightly

UTech Management
Applied Mathematics

Finley is a fourth-year undergraduate student studying Applied Math at UC Berkeley. They are interested in entering a career in Data Science once they complete their Bachelor's degree.

They have been with D-Lab since Fall 2020 and are currently part of the UTech Management team. They love the learning environment of D-Lab and their favorite part of the job is their co-workers! In their free time, they enjoy reading, boxing, listening to music, and playing Dungeons & Dragons. Feel free to stop by the front desk to ask them any questions or just to chat...

Can Machine Learning Models Predict Reality TV Winners? The Case of Survivor

March 14, 2023

Since its creation in 2000, the show Survivor has dropped approximately 20 contestants in a remote location and forced them to hunt for their own food and build their own shelter. While a test of physical endurance, the social dynamics and strategy are what make the show stand out from other reality television shows. In this post, I lay out the rules of the show and...

R Introduction to Deep Learning: Parts 1-2

April 19, 2023, 9:00am
This workshop introduces the basic concepts of Deep Learning — the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning algorithms, we will use deep learning algorithms to map input data to their appropriately classified outcome labels.

R Data Wrangling and Manipulation: Parts 1-2

March 13, 2023, 10:00am
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

April 4, 2023, 10:00am
This as an in-person ONLY workshop (no hybrid option). 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

February 27, 2023, 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 Fundamentals: Parts 1-4

March 27, 2023, 4:00pm
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.

Paul Salamanca

DSUS Discovery Fellow
Sociology

I am a PhD student in sociology. I study imperialism, race, and gender, with a historical focus on the colonial Philippines. In my free time, I like to cook and bake.

Vanessa Navarro Rodriguez

Consulting Drop-In Hours: Tue 2pm-4pm

Consulting Areas: R, LaTeX, Data Manipulation and Cleaning, Data Sources, Data Visualization, Mixed Methods, Qualitative methods, R Programming, Surveys, Sampling & Interviews, Regression Analysis, Dedoose, Excel, RStudio

Quick-tip: the fastest way to speak to a consultant is to first ...

Jose Aveldanes

Consulting Drop-In Hours: Wed 10am-12pm

Consulting Areas: Python, R, SQL, Stata, Databases & SQL, Data Manipulation and Cleaning, Data Science, Data Sources, Data Visualization, Deep Learning, Machine Learning, Python Programming, R Programming, Causal inference, Hierarchical Models, Nonparametric methods, Regression Analysis, Software Output Interpretation, Survey Sampling, Survival analysis, ATLAS.ti, Dedoose, Git or Github, NVivo, RStudio, RStudio Cloud, Stata

Quick-tip: the fastest way to speak to a consultant...