GithubHelp home page GithubHelp logo

Hi. I'm Gina Reynolds.

My popular projects include flipbookr and ggplot2 extensions like ggcalendar, ggcirclepack and others.

Professionally, I've worked in higher education and government where my work involved analytics, teaching, and policy implementation.

I'm interested in lightening cognative load, first, when interpreting data visualizations and, second, when writing and reading code used to build data visualizations. I believe the latter --- attention to coding tools --- can greatly complement the former -- communication via visualizations. When we have logical, easy-to-use tools to build compelling, easy-to-interpret visualizations well suited to the data we are presenting, we're more likely to build compelling, easy-to-interpret visualizations, rather than stop at 'good enough'. Given this, I'm a big fan of the elegant, flexible, and intuitive grammar of graphics visualization frameworks.

My technical expertise is in the ggplot2 and currently focus on extension and supporting extenders. I co-organize the ggplot2 extenders club, have created 'easy geom recipes' together with students, am writing ggplot2 extension cookbook, and developing 'express' methodologies for Stat extension (why shouldn't everyone be creating and using Stats and why shouldn't they be using them even on an ad hoc basis?). I've studied some of these new educational materials via survey response and focus groups. For more on the rationale for these efforts, see 'everyday ggplot2 extension'.

Previously, I had a greater focus on illuminating the grammar of base ggplot2, creating materials like a ggplot2 grammar guide and the ggplot2 flipbook.

Gina Reynolds's Projects

drug-20190423 icon drug-20190423

knitr::spin -- A more dynamic approach to dynamic documents

eda icon eda

Education Data Architecture

flipbookr icon flipbookr

Presenting code step-by-step and side-by-side with its output

from_raw_data_to_paper_and_presentation icon from_raw_data_to_paper_and_presentation

This contains examples of how to implement a reproducible workflow using .Rmd files, from raw data to a research paper as well as presentation materials (slides and poster).

ggbroom icon ggbroom

estimate w/ broom; visualize with ggplot2

ggbump icon ggbump

A geom for ggplot to create bump plots

ggcalendar icon ggcalendar

and interface for plotting calendar months with date input in ggplot2

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.