https://github.com/allisonhorst/rice-data-viz

https://github.com/allisonhorst/rice-data-viz

Science Score: 10.0%

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  • Host: GitHub
  • Owner: allisonhorst
  • Language: HTML
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  • Size: 36.8 MB
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Created over 5 years ago · Last pushed over 5 years ago
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Readme

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

# Advanced Data Visualization with `ggplot2`

## Rice University Workshop (March 2021)

by Allison Horst 




### Workshop guide

Available here: https://allisonhorst.github.io/rice-data-viz/

### Workshop outline 

-  Conceptual hierarchy of data viz
- `ggplot2` basics review
    - Aesthetic mapping
    - Themes
    - Labels
    - Facets (& facet grids vs facet wraps)
    - Getting things in order (e.g. fct_reorder)
- Advanced customization in `ggplot2`
    - `scales` for thoughtful breaks and labels
    - ...and color schemes (+ `paletteer`!)
    - In the weeds of themes (gridlines, panel colors, margins, etc.)
    - Direct annotation (as an alternative to legends)
    - Repulsive labels (e.g. `ggrepel`)
    - Highlighting for clarity (e.g. with `gghighlight`)
- Compound figures with `patchwork`
- A few new graph types to consider
    - Marginal plot
    - Beeswarm plots with `ggbeeswarm`
    - Heatmaps with `geom_tile()`
    - A map! in `ggplot2`
- Export & save your graphs
- Keep learning

### Workshop prep: 

There are two ways you can get the workshop materials: 

1. Create a free [RStudio Cloud](https://rstudio.cloud) account, and access the materials here: https://rstudio.cloud/project/2256278. **If you use this option, make sure to click "Make permanent copy" or your work will be deleted when you close the project.**

2. Fork & clone this repo to work locally. 

### Required packages: 

Make sure you have recent versions of the following packages installed for the workshop: 

#### General use packages:

- `tidyverse`
- `here`
- `janitor`

#### Specifically for plots:

- `patchwork`
- `ggrepel`
- `gghighlight`
- `paletteer`
- `ggExtra`
- `ggbeeswarm`

#### Spatial data simplified:

- `sf`

#### And for another dataset we'll explore:

- `gapminder`

Owner

  • Name: Allison Horst
  • Login: allisonhorst
  • Kind: user
  • Company: Observable

Teaching | Data Science | Art | Science Communication

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Allison Horst a****t@u****u 12
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