Name: Bryce Chamberlain
Type: User
Company: Independent Senior Technical Contractor
Bio: I'm an independent contractor helping companies build custom cloud apps and leverage data science, visual analytics, and AI.
Location: United States
Blog: https://www.linkedin.com/in/brycechamberlain
Bryce Chamberlain's Projects
Adaptum is a D3-based Javascript framework for data visualization with a single aspiration: to create optimized charts based only on data, without any configuration necessary.
One stop for easy access to 688 fields across 3 tables from the Social and Economic Supplements.
A public safety map that only shows crime that you might actually experience while walking in the city.
My personal R package.
My commonly-used code
R code to summarize coinbase fill reports. I use it to prepare my taxes.
Resources from the "Data Visualization in Business Communication" presentation at the 2023 Gamma Iota Sigma Regional Conference in Fort Worth, TX.
Helpful functions that make coding in R easier.
Clone to try a simple Electron app
R code for my class project.
A Simpler Highcharts wrapper for use in R and R Shiny.
Ritesh Profolio | React JS
Information about the CAS organizational account
Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures
RStudio Add-in to build Shiny apps utilizing the Electron framework
pyedflib is a python library to read/write EDF+/BDF+ files based on EDFlib.
Materials for RCC workshop, "Large-scale data analysis in R."
Boilerplate project for analysis in R.
Code for my LinkedIn article comparing R and python for data work.
Template repository for build Standalone R Shiny application with Electron
Makes 'SimFin' data (https://simfin.com/) easily accessible in R.
Repository for R package simfinR
Code from a project in my big data class. Predicts sleep disorders from EEG data using a neural network.
AutoML R framework functions for quickly finding stories from data.
Project for building out my Git guide.
Easily compare multiple time series models using sliding and/or expanding-window cross validation.