Skip to content
View EvaMaeRey's full-sized avatar

Block or report EvaMaeRey

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
EvaMaeRey/README.md

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 intuitiveness of plot composition tools (coding interfaces) often translates to more effectiveness of visualizations. With logical, easy-to-use tools, we're more likely to build compelling, easy-to-interpret visualizations, rather than stopping at 'good enough'. For these reasons, I'm a big fan of the elegant and intuitive grammar of graphics visualization frameworks.

My technical expertise is in the ggplot2 and currently focus on extension and supporting extenders. I co-founded and 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 motivation for these efforts, see 'everyday ggplot2 extension'.

I'm interested in the transformational effects that access to custom, principled data visualization tooling can have on analytic and teaching spaces. I am working on greater accessibility for researchers, academics, and students to bespoke tooling.

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

Pinned Loading

  1. flipbookr flipbookr Public

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

    CSS 198 20

  2. ggxmean ggxmean Public

    R 66 3

  3. ggstamp ggstamp Public

    stamp_* as an API for annotation layers

    R 41

  4. tidypivot tidypivot Public

    Declarative group-wise count and compute, describing your target table

    R 13

  5. ggplot_flipbook ggplot_flipbook Public

    This is a flipbook that builds up plots with ggplot2.

    HTML 153 32

  6. ind2cat ind2cat Public

    Concisely recode indicator variables to categories

    R 2