D-Lab

Have you ever found yourself in the midst of an analysis when suddenly, out of nowhere, it happens. That tiny, dreaded pinwheel appears indicating an error has occurred. Yes, that's right, they call it the spinning wheel of death. Your application freezes....Read more about Big datasets, small code chunks, and why I use Google Earth Engine

We often read about the many new advancements being made in the field of Natural Language Processing (NLP). Each month, leading organizations release new models that seem like magic to us, such as models that can write it’s own code based on user prompts...Read more about Working with State-of-the-Art NLP Models: A Friendly Introduction to Hugging Face

Introduction

When Janet Vertasi, a sociology professor of technology at Princeton, learned of her pregnancy, she decided to conduct a personal experiment. She hid her pregnancy from the internet for nine months. This meant only sharing her pregnancy...Read more about Resisting our Data Doppelgangers: A Proposal for Unpacking the Dangers of Data-Driven Fertility Advertising With Data Science Tools

I have always been interested in working with spatial networks. My first introduction to spatial network modeling was in Prof. John Radke’s Geographic Information Systems class when I learned about building and analyzing spatial networks using the ...Read more about Working with spatial networks using NetworkX

When creating a survey for an audience it is important to make your survey tool accessible, succinct, and understandable. The following 7 step guide gives you an important tool kit to improve your survey response rates and completion rates, and give you clear results. ...Read more about 7 Steps to a strong survey tool with Qualtrics

What is the bootstrap method?

If you take a quantitative methods course here at Berkeley, chances are that you will learn how to perform a bootstrap. As an introductory data science instructor, it’s one of my favorite topics to teach, not just...Read more about A Beginner’s Guide to the Bootstrap

Like many graduate students from the MIDS program who are also full-time working professionals, I return to campus to seek knowledge and satisfy my intellectual curiosity in information and data science. It has become a part of a lifelong learning pursuit...Read more about Stumbling Upon Data Sonification When I Fused My Passion for Music with Coding

Before COVID-19, becoming a data scientist was never on my radar. As a policy analyst for the California Research Bureau, a legislative research and reference section of the ...Read more about Rural vs. Urban: Using Python to Explore Legislative Data

Microbiomes are all the rage today and this trendiness is clear with the Human Microbiome Market predicted to be valued at more than 1 billion dollars by the year...Read more about Spooky Microbiomes and the Curse of Dimensionality

For many of us, the colors a computer screen makes are of secondary importance: we would much rather have the screen adjust for the conditions — a bit less blue in the evening, a bit more brightness when it’s sunny — and have a crisp resolution. If the color is about right…it's...Read more about Working with Color Data: An Introduction to Colorspaces