Chicago-Dave

Chicago-Dave's Stars

• spedygiorgio/markovchain

  Easy Handling Discrete Time Markov Chains

  Language:R10539

• jbryer/ipeds

  R R package for accessing the Integrated Postsecondary Education Data System (IPEDS) from R.

  Language:R4918

• UNCOIRE/Survival-Analysis

  Resources for the Survival Analysis poster at AIR 2024

  Language:R3

• UCBoulder/ceeb_nces_crosswalk

  Scripts and data to build a crosswalk between CEEB and NCES codes, as well as the final product

  Language:Jupyter Notebook125

• AlisonLanski/IPEDSuploadables

  Producing uploadable txt files for IPEDS reporting, one submission at a time

  Language:R87

• Azure/Microsoft365R

  R SDK for interacting with Microsoft 365 APIs

  Language:R31846

• keikcaw/visualizing-logistic-regression

  Language:HTML121

• davidgohel/officedown

  Language:R36827

• chasemc/electricShine

  Create Standalone Installable Shiny Apps

  Language:R25937

• hadley/mastering-shiny

  Mastering Shiny: a book

  Language:R1.3k564

• Chicago-Dave/rstudio-conf

  Materials for rstudio::conf

  Language:HTML1

• angelabassa/data-science-competency-matrix

  12534

• juliasilge/tidytext

  Text mining using tidy tools :sparkles::page_facing_up::sparkles:

  Language:R1.2k184

• kc001/Blog_code

  Complete code for some of the blog posts found at kimberlycoffey.com

  Language:R3229

• dashee87/jobbR

  R wrapper for the Indeed API

  Language:R287

• rweekly/rweekly.org

  R Weekly

  Language:Rez726366

• jmschrei/pomegranate

  Fast, flexible and easy to use probabilistic modelling in Python.

  Language:Python3.4k590

• jupyter-widgets/ipywidgets

  Interactive Widgets for the Jupyter Notebook

  Language:TypeScript3.2k946

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  61.3k10k

• Quartz/bad-data-guide

  An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

  4.1k405

• namebrandon/kaggle-bike-sharing

  An implementation of a conditional inference tree model in R for the Kaggle.com Bike Sharing Demand challenge.

  Language:R717

• datasciencemasters/data

  Open Data Sources

  506188

• stevevance/divvy-munging

  Adding more useful info to Divvy's 2013 trips data release

  125

• dssg/bikeshare

  Statistical models and webapp for predicting when bikeshare stations will be empty or full.

  Language:JavaScript11431