rsmorgan1

rsmorgan1's Stars

• natemanzo/cfb_data

  College Football Data

  Language:R4

• kylebennison/staturdays

  college football data

  Language:Jupyter Notebook9

• sportsdataverse/recruitR

  A college football recruiting package

  Language:R192

• JackStat/cfb

  Collection of College Football scrapers and cleaners

  Language:R64

• samanthaburtwistle/husker_analysis

  Tweet Analysis: Nebraska Huskers vs. Ohio State Buckeyes Football 9/28

  Language:Jupyter Notebook1

• OWH-projects/huskers

  Sprawling database for tracking recruits and past players for Nebraska football

  Language:HTML1

• shv38339/huskers

  Projects on all things Husker-related

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• chrisdunker3110/UNL-out-of-state-recruiting

  The University of Nebraska-Lincoln, like other public universities, has increased its efforts to recruit students from outside Nebraska in recent years as it seeks to boost its enrollment. In a March 2019 paper published by the Joyce Foundation, Crystal Han and Ozan Jaquette of UCLA and Karina Salazar of the University of Arizona described a process by which they scraped data about college visits from the web, including those by UNL recruiters. Jaquette provided the data to me, which I used as the basis for a story in the Journal Star.

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• mattwaite/JOUR307-Data-Journalism

  A collection of stuff for my Data Journalism class at the University of Nebraska-Lincoln.

  Language:Jupyter Notebook9826

• pedrocava/Recon

  Tools to compute and visualize economic models

  Language:R235

• floswald/EconData

  R package containing a host of datasets useful for economic research. Complete with raw data and cleaning functions.

  Language:R3311

• skranz/RTutor

  Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)

  Language:R20257

• euclidjda/value-investing-studies

  Data Analysis Studies on Value Investing

  Language:R8330

• evanjflack/bacondecomp

  Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.

  Language:Jupyter Notebook4716

• gelkouh/spatial-economics

  Oeconomica's Spatial Economics Cohort, 2019–2020

  Language:R35

• johnmyleswhite/BehavioralEconomics

  R package for behavioral economics

  Language:R318

• kennt/monetary-economics

  Implementation of the models from "Monetary Economics 2e" by Godley and Lavoie, 2012

  Language:Jupyter Notebook7025

• QuantEcon/columbia_mini_course

  Computational Economics with Python

  Language:Jupyter Notebook4233

• sekhansen/machine_learning_economics

  Machine Learning for Economics

  Language:Jupyter Notebook8347

• optimagic-dev/optimagic

  optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.

  Language:Python27231

• OpenSourceEconomics/econ-project-templates

  Templates for reproducible economics projects

  Language:TeX14352

• jiamingmao/data-analysis

  Data Analysis for Economics

  Language:HTML12790

• jiamingmao/principles-of-economics

  Principles of Economics

  Language:HTML64200

• jstac/nyu_macro_fall_2018

  Course notes for the first half of ECON-GA 1025 – Macroeconomic Theory I, Fall Semester 2018

  Language:Jupyter Notebook5531

• jstac/econ-2125-8013

  ECON2125/8013 course files

  Language:Python1727

• jstac/edtc-code

  Code for Economic Dynamics, Theory and Computation

  Language:Jupyter Notebook5251

• jstac/econometric_theory_slides

  Slides for A Primer in Econometric Theory

  Language:TeX12578

• jstac/econometrics

  Code and notebooks for Econometric Theory

  Language:Jupyter Notebook11169

• jstac/quantecon_nyu_2016

  Quantitative Economics

  Language:Jupyter Notebook13477

• tradingeconomics/tradingeconomics

  TRADING ECONOMICS - API Code Examples

  Language:HTML805548