bradlindblad - Overview (original) (raw)
Navigation Menu
- GitHub Copilot Write better code with AI
- GitHub Models New Manage and compare prompts
- GitHub Advanced Security Find and fix vulnerabilities
- Actions Automate any workflow
- Codespaces Instant dev environments
- Issues Plan and track work
- Code Review Manage code changes
- Discussions Collaborate outside of code
- Code Search Find more, search less
- Explore
- Pricing
Provide feedback
Saved searches
Use saved searches to filter your results more quickly
Appearance settings
BradL bradlindblad
Block or report bradlindblad
Brad Lindblad, MBA
Cloud
Languages
Other languages and tools
Connect with me
What I do
- I'm a Staff Analytics Engineer working at logos.com
- I write about data, etc. on technistema.com -- subscribe
- Certified R tidyverse trainer -- let me teach you
- Some popular open source projects:
- Created algorithmic trading bot 📈
- 📦 schrute R package creator, as well as versions for python and Julia
- 📦 tidyUSDA R package creator 🐮; grabs USDA data in tidy format for analysis
- 📦 cheatsheets R package creator; downloads all RStudio cheatsheets locally
- 📦 proverbs R package creator; print out a daily Bible proverb to your console 📙
creator of one of the top apps in the Snapcraft.io store
Blog posts
- proverbs Now Has Support for ESV Translation
- Announcing proverbs; A Package For Printing a Daily Proverb in R
- Using Github Actions, Python and Telegram to Get Ribeye Specials
- Analyzing Roam Research Attribute Tables with Python
- Announcing the {cheatsheet} Package
- tidyUSDA Version 0.3.1 Is Now Available
- Professional Financial Reports with RMarkdown
- Introducing Schrute.jl: The Office Transcripts Data Set for Julia
- My First Linux Snapcraft App
- Using the Biblepi Program
My stats
Pinned Loading
- An interface to USDA Quick Stats data with mapping capabilities.
R 43 7 - The Entire Transcript from The Office in Tidy Format
R 18 6 - The Entire Transcript from the Office in Tidy Format
Python 26 4 - Forked from lindblb/pro_reports_talk
This is the companion repository for the lightning talk given December 2020 to the R Finance group
R 70 25 - A simple package to grab cheat sheets and save them to your local computer
R 11 5