Blog

Intro to Tidymodels

tidymodels

positron

Presentation materials from a recent talk I gave at Loyola Marymount University

Javier Orraca-Deatcu

Vector DB + RAG Maker

python

langchain

huggingface

chromadb

Introducing a vector database and Retrieval-Augmented Generation (‘RAG’) system for coding in R, designed to provide bleeding-edge responses from curated documentation.

Javier Orraca-Deatcu

Big Data, Tiny Laptop

positron

arrow

duckdb

polars

quarto

Presentation materials from last night’s Tech by the Beach x SoCal RUG x CSULB meetup

Javier Orraca-Deatcu

ETL with Arrow & DuckDB

dplyr

arrow

duckdb

duckplyr

Presentation materials from this weekend’s SoCal RUG x UC Irvine hackathon️

Javier Orraca-Deatcu

You Don’t Need OOP for Data Science

r6

tidyverse

tidymodels

For R users, the R6 package - among several object-oriented systems for R - brings forth the elegance of object-oriented programming (OOP) to a traditionally ‘stats first’ language. That said, do you need to know OOP to be a successful data scientist? No, probably not.

Javier Orraca-Deatcu

webR via Quarto Extensions

webR

dplyr

webR has been on my mind recently… With the recent release of webR 0.2.0, it’s time to dive in!

Javier Orraca-Deatcu

Impressing Hiring Teams with a Shiny App Demo

tidyverse

shiny

renv

bslib

Last week, I presented to SoCal RUG on how to build a Shiny app demo as a resume or cover letter accessory. This ‘accessory’ will impress hiring managers with whom you’re interviewing and help differentiate you from other data science applicants.

Javier Orraca-Deatcu

R Goodies for 2023

tidymodels

probably

arrow

duckdb

sodium

cyphr

Despite all of the noise of AI-generated art and ChatGPT, 2022 was a great year for data science. These are some of my favorite tricks that I will continue to explore in 2023.

Javier Orraca-Deatcu

Data Science Hangout

tidyverse

shiny

machine learning

tidymodels

I was recently a guest on Posit’s Data Science Hangout, hosted by Rachael Dempsey, and I had a blast. This is the recording where I talked about my transition from Excel-based financial modeling to machine learning at scale with R.

Javier Orraca-Deatcu

Build a Shiny App Demo

shiny

github

bslib

docker

During my interview process with Bloomreach, I developed an interactive Shiny app styled with the Bloomreach branding and color scheme. This tutorial will help you do the same to demo the power of Shiny to prospective employers.

Javier Orraca-Deatcu

Torch for R + luz

machine learning

The ‘torch for R’ ecosystem is a collection of extensions for torch, an R framework for machine learning and artificial intelligence based on PyTorch.

Javier Orraca-Deatcu

Beautiful Maps with Rayshader

rayshader

ggplot2

visualizations

If you love beautiful 2D and 3D maps, now you can create your own with elevation data, the rayshader package, OpenStreetMap, and ggplot2.

Javier Orraca-Deatcu

A Brief History of the Dataframe

tibble

Insightful read sourced from Towards Data Science on the history of the dataframe - From its origins in the S programming language, to R, to pandas for Python (to the tibble for R).

Javier Orraca-Deatcu

DT: An R Interface to the JavaScript library DataTables

dt

The R package DT provides an R interface to the JavaScript library DataTables. R data objects (matrices or data frames) can be displayed as tables on HTML pages, and DataTables provides filtering, pagination, sorting, interactivity with Shiny, and many other features.

Javier Orraca-Deatcu

rstudio::global tips, tricks, and more

tidymodels

RStudio’s annual conference saw roughly 17,000 attendees for their first global, all-virtual, 24-hour event. I attended several sessions throughout the day and I’ll highlight my favorite data bytes learned that day. I’ll also share relatable content for better modeling with R.

Javier Orraca-Deatcu

rsthemes: Customizing your RStudio IDE

quick tips

Change up your editor theme with {rsthemes}, a collection of themes to freshen up the RStudio IDE aesthetics.

Javier Orraca-Deatcu

Preparing for 2021 Goals with a Raspberry Pi

linux

I have been planning my 2021 goals and the Raspberry Pi 4 will help me kill a few birds with one stone.

Javier Orraca-Deatcu

One-Hour R Package Development Tutorial by Shannon Pileggi, PhD

packages

I followed this tutorial and created a package successfully. It took 45 minutes. Follow, this, guide, my fellow R friends!

Javier Orraca-Deatcu

What’s New in dbplyr 2.0.0

tidyverse

dplyr

dbplyr, a database backend for dplyr, just released v2.0.0 today… Awesome stuff here!

Javier Orraca-Deatcu

Detailed R Package Development Tutorial from Method Bites

packages

This is one of the best, most detailed, how-to guides for developing your own R package from A-to-Z

Javier Orraca-Deatcu

Shiny Voice-Activated input

shiny

Want to make your Shiny apps voice-interactive? Now it’s possible.

Javier Orraca-Deatcu

Testing dplyr 1.0.0

tidyverse

dplyr

Finally getting around to trying out dplyr 1.0.0… Love it!

Javier Orraca-Deatcu

Lying with Statistics

statistics

ggplot2

visualizations

It’s quite easy to manipulate raw data in a manner that ‘proves’ your point. For the sake of exploring this topic further, I’ll analyze police killing data and present it in three different ways.

Javier Orraca-Deatcu

D&D Adventures + blogdown

rmarkdown

blogdown

It’s an incredible time to be creative! I’ve recently been re-learning Dungeons & Dragons with a group of friends and having so much fun in the process.

Javier Orraca-Deatcu

themis: Extra Steps for tidymodels + recipes

tidymodels

themis contain extra steps for the recipes package for dealing with unbalanced data. The name themis is that of the ancient Greek goddess who is typically depicted with a balance.

Javier Orraca-Deatcu