OSU Code Club

Welcome to OSU Code Club!

See below for the most recent Code Club sessions and other posts

Introduction to `ggplot2` - 02

More about aesthetics.

ggplot2

dataviz

plotting

tidyverse

Horacio Lopez-Nicora

Introduction to `ggplot2` - 01

Code structure, data, aesthetic mappings, and geoms

ggplot2

dataviz

plotting

tidyverse

A picture is worth a thousand words i…

Jessica Cooperstone

Continuing with Git and GitHub 🐱

Using Quarto/RStudio, GitHub, and GitHub Desktop to edit code in a repository 🤩️.

git

github

version control

quarto

Jessica Cooperstone

Getting started with Git and GitHub 🐱

Using Quarto/RStudio, GitHub, and GitHub Desktop to post code to a repository 🤩️.

git

github

version control

quarto

Jessica Cooperstone

Using Copilot, `chattr`, and `ellmer`

r-basics

tidyverse

github-copilot

chattr

ellmer

copilot

gen-ai

ggplot2

We have spent the last handful of sessions using GitHub Copilot embedded in the RStudio IDE. Today we are going to try using:

Jessica Cooperstone and Horacio Lopez-Nicora

Wrangling and plotting with Copilot

r-basics

tidyverse

github-copilot

ggplot2

gen-ai

We are going to continue playing around today with wrangling and plotting with the help of GitHub Copilot in RStudio.

Jessica Cooperstone

Plotting with GitHub Copilot

From Prompts to Plots: Exploring AI-Assisted Graphing in R

tidyverse

github-copilot

gen-ai

Horacio Lopez-Nicora

Data wrangling with GitHub Copilot - I

r-basics

tidyverse

github-copilot

gen-ai

We are going to spend the next handful of Code Club sessions learning how to code with the help of generative AI. We have decided to structure these lessons…

Jessica Cooperstone

GenAI prep: data wrangling with `filter`, `select`, and `arrange`

r-basics

tidyverse

github-copilot

gen-ai

We are going to spend the next handful of Code Club sessions learning how to code with the help of generative AI. We have decided to structure these lessons…

Jessica Cooperstone

Reproducibility recommendations: Code styling

Recommendations on code styling to improve the reproducibility of your research

reproducibility

Horacio Lopez-Nicora

Reproducibility recommendations: Code structure

Recommendations on code structure to improve the reproducibility of your research

reproducibility

Jelmer Poelstra

Reproducibility recommendations: File organization and RStudio Projects

File-related recommendations to improve the reproducibility of your research

reproducibility

Jelmer Poelstra

Reproducibility 2: More about Quarto

reproducibility

quarto

Last week: We introduced Quarto, created a basic .qmd file, and rendered it to HTML.

Horacio Lopez-Nicora and Jessica Cooperstone

Reproducibility 1: Introduction to Quarto

reproducibility

quarto

Quarto is an…

Horacio Lopez-Nicora

Other OSU coding-related activities in AU25

Jelmer Poelstra, Horacio Lopez-Nicora, Jessica Cooperstone

R for Reproducibility Workshop

Get started in R with this day-long workshop designed for beginners.

tidyverse

data-viz

Jelmer Poelstra, Horacio Lopez-Nicora, Jessica Cooperstone

Introduction to `gt` Tables - 03

Making Beautiful Tables in R.

gt

tables

tidyverse

Horacio Lopez-Nicora

Introduction to `gt` Tables - 02

Making Beautiful Tables in R.

gt

tables

tidyverse

Horacio Lopez-Nicora

Introduction to `gt` Tables - 01

Making Beautiful Tables in R.

gt

tables

tidyverse

Horacio Lopez-Nicora

Iterating part III: purrr’s `map()` function

A deeper dive into iterating with purrr’s map() function.

functional programming

purrr

Jelmer Poelstra

Iterating part II: writing custom functions and `purrr:map()`

Instead of using loops, we can iterate with functions!

functions

functional programming

purrr

Jessica Cooperstone

Iterating part I: `for` loops

In this first of a series of sessions on developing tools for doing things over and over, we will cover for loops.

for loops

base R

Jessica Cooperstone and Jelmer Poelstra

Plotting geographical maps in R: part III

Making choropleth maps and interactive, zoomable maps.

maps

Jelmer Poelstra

Plotting geographical maps in R: part II

Adding markers and text to maps.

maps

ggplot2

dataviz

Jelmer Poelstra

Plotting geographical maps in R: part I

Using ggplot to make maps and adding custom information to them.

maps

ggplot2

dataviz

Jelmer Poelstra

Introduction to `ggplot2` - 03 & 04

More geoms, faceting plots, and adding labels

ggplot2

dataviz

plotting

tidyverse

We have spent the last two Code Club sessions talking about plotting with ggplot2. We have gone through:

Jessica Cooperstone

Introduction to `ggplot2` - 02

More about aesthetics.

ggplot2

dataviz

plotting

tidyverse

Horacio Lopez-Nicora

Introduction to `ggplot2` - 01

Code structure, data, aesthetic mappings, and geoms

ggplot2

dataviz

plotting

tidyverse

The very popular R package ggplot2 is based on a system called the Grammar of Graphics by Leland Wilkinson which aims to create a grammatical rules for…

Jessica Cooperstone

Accessing and using R at the Ohio Supercomputer Center (OSC)

An intro to OSC, and accessing R/RStudio via OnDemand.

reproducibility

osc

hpc

Jelmer Poelstra

Reproducibility 05: Making Changes with Git and GitHub 🐱

Using Quarto/RStudio, GitHub, and GitHub Desktop to edit contents in a repository🤩️.

git

github

version control

quarto

Jessica Cooperstone

Reproducibility 04: Getting started with Git and GitHub 🐱

Using Quarto/RStudio, GitHub, and GitHub Desktop to post code to a repository🤩️.

git

github

version control

quarto

Jessica Cooperstone

Reproducibility 3: More about Quarto

reproducibility

quarto

Last week we introduced Quarto, and using Quarto within RStudio. Next week, we will go over how to push our Quarto document to Github.

Jessica Cooperstone

Reproducibility 2: Introduction to Quarto

reproducibility

quarto

Quarto is an…

Horacio Lopez-Nicora

Reproducibility 1:
Intro, File Organization, and RStudio Projects

reproducibility

Jelmer Poelstra

Data Wrangling 5: Tidy Data and Pivoting

r-basics

tidyverse

Aaron Max Wiedemer and Horacio Lopez-Nicora

Data Wrangling 4: Merging/Joining Data Frames

r-basics

tidyverse

Horacio Lopez-Nicora

Data Wrangling 3: Counting and Summarizing Data by Group

r-basics

tidyverse

Jelmer Poelstra

Data wrangling: using `select()`, `arrange()`, and `mutate()`

r-basics

tidyverse

We are going to start off this semester of code club with a series of sessions on how to “wrangle” your data. It can be a struggle to get…

Jessica Cooperstone

Data wrangling: more on `filter()` and `select()`

r-basics

tidyverse

We are going to start off this semester of code club with a series of sessions on how to “wrangle” your data. It can be a struggle to get…

Jessica Cooperstone

Plotting 4: Faceting and multi-panel figures

plotting

ggplot2

Jelmer Poelstra, Mike Sovic

Plotting 3: histogram, density, and bar plots

plotting

ggplot2

In last week’s session, we delved into aesthetics and gained a deeper…

Horacio Lopez-Nicora

Plotting 2: aesthetics, violin, and boxplots

plotting

ggplot2

Horacio Lopez-Nicora

Plotting 1: Intro to ggplot2

plotting

ggplot2

Jelmer Poelstra, Michael Broe

Tidyverse 5: Reading in data

r-basics

tidyverse

Jessica Cooperstone

Tidyverse 4: Tidy Data and Pivoting

r-basics

tidyverse

Aaron Max Wiedemer

Tidyverse 3: Grouping and Summarizing Data

r-basics

tidyverse

Jelmer Poelstra

Tidyverse 2: More dplyr Data Wrangling

r-basics

tidyverse

Jelmer Poelstra

Tidyverse 1: Introduction to the `tidyverse`

r-basics

tidyverse

Jessica Cooperstone

R Basics 5: Data Manipulation With Base R

r-basics

Horacio Lopez-Nicora

R Basics 4: Vectorized Operations and Data Frames

r-basics

Jessica Cooperstone

R Basics 3: Built-in functions, Vectors, and Help

r-basics

Horacio Lopez-Nicora

R Basics 2: Scripts and Objects

r-basics

Jelmer Poelstra

R Basics 1: Getting Started

r-basics

Jessica Cooperstone

Shiny 04: Deploying Shiny App

Deploying Shiny App using ShinyLive .

shiny

quarto

Welcome to our shiny app development class! We are now fully prepared to deploy our shiny app to our website.

Horacio Lopez-Nicora

Shiny 03: Map viz. in Shiny

Explore maps in Shiny App.

shiny

quarto

Welcome to our shiny app development class! Throughout this session, Dr. Sandip Mondal will walk us through a case study to generate interactive maps using shiny app.

Sandip Mondal and Horacio Lopez-Nicora

Shiny 02: Intro to Shiny (cont.)

Explore additional features in Shiny App.

shiny

quarto

Welcome to our shiny app development class! Throughout this session, we…

Horacio Lopez-Nicora

Shiny 01: Intro to Shiny

What is Shiny? The Basic Structure of a Shiny App.

shiny

quarto

Welcome to our shiny app…

Horacio Lopez-Nicora

Quarto website 7: making a presentation

Creating a presentation with Quarto

website

quarto presentations

Today we are going to learn how to make a presentation using Quarto. We will go over how to:

Jessica Cooperstone

Quarto website 6: Quarto features

Basic formatting, citations, code chunks, tabsets, callouts, and more.

website

quarto

Jelmer Poelstra

Quarto website 5: modifying your site

Making a fancy about page, drop down menu bars, and some (S)CSS styling.

website

git

Jessica Cooperstone

Quarto website 4

Interacting with our GitHub repository

website

Jelmer Poelstra

Quarto website 3: Deploying your website with GitHub 🐱

Using GitHub, GitHub Desktop, and GitHub Pages to deploy our website 🤩️.

website

git

Jessica Cooperstone

Quarto website 2

Adding a new page to your site & using YAML to modify the look and configuration of our new page and the entire site

website

Jelmer Poelstra

Quarto website 1: Initiating a website 🌐

website

Jessica Cooperstone

Welcome to the new Code Club website!

news

Jelmer Poelstra, Jessica Cooperstone, Horacio Lopez-Nicora