Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under MIT. Note that figures in slides may be pulled in from external sources and may be licensed under different terms.
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diff --git a/docs/search.json b/docs/search.json
index 0794321..4bba2c0 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -6,7 +6,7 @@
"description": "A bootcamp-style course on data visualization",
"author": [],
"contents": "\nThis is the home page for a dataviz shortcourse by Claus O. Wilke. The course is an abbreviated version of a semester-long course taught at The University of Texas at Austin. Many of the materials presented are taken from the book Fundamentals of Data Visualization.\n\nReuse\nText and figures are licensed under Creative Commons Attribution CC BY 4.0. Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under MIT. Note that figures in slides may be pulled in from external sources and may be licensed under different terms. For such images, image credits are available in the slide notes, accessible via pressing the letter ‘p’.\n\n\n\n",
- "last_modified": "2024-06-27T11:07:23-05:00"
+ "last_modified": "2024-07-24T22:55:08+02:00"
},
{
"path": "lessons.html",
@@ -14,15 +14,15 @@
"description": "",
"author": [],
"contents": "\n\nContents\nEffective Visual Communication\nFrom Data to Visualisation 1\nFrom Data to Visualisation 2\nPrinciples of Figure Design\nReuse\n\nEffective Visual Communication\nThis lecture covers three core concepts of visual communication. First, I will discuss how to engage your audience by telling a story. Second, I will provide high-level guidance for designing visualizations that make a clear point. Third, I will describe key design principles that ensure your figures will be readable by people with vision impairments, and specifically impairments of color perception.\n\nMaterials:\n\nSlides\nFrom Data to Visualisation 1\nVisualizing amounts; visualizing distributions; visualizing associations and trends\n\nMaterials:\n\nSlides\nFrom Data to Visualisation 2\nVisualizing uncertainty; visualizing geospatial data\n\nMaterials:\n\nSlides\nPrinciples of Figure Design\nColors; compound figures; infographics\n\nMaterials:\n\nSlides\nReuse\nText and figures are licensed under Creative Commons Attribution CC BY 4.0. Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under MIT. Note that figures in slides may be pulled in from external sources and may be licensed under different terms. For such images, image credits are available in the slide notes, accessible via pressing the letter ‘p’.\n\n\n\n",
- "last_modified": "2024-06-27T11:07:24-05:00"
+ "last_modified": "2024-07-24T22:55:09+02:00"
},
{
"path": "workshops.html",
"title": "Workshops",
"description": "",
"author": [],
- "contents": "\n\nContents\nPast and present workshops\nReuse\n\nPast and present workshops\nMaterials for past and present workshops. The specific slide sets may differ from the four main lessons. All materials are primarily based on material from my semester-long data visualization course at UT Austin.\nVisualizing Uncertainty and Trends\nKeynote, June 24 2024: slides\nWorkshop, June 27 2024:\nQuarto notebook\nHTML\nHTML with solutions\n\n2024-06-20\nWorkshop in support of Ukraine. To work through all the examples provided, you will need the following R packages: tidyverse, cowplot, ggiraph, sf, patchwork\nSlides Part 1\nSlides Part 2\nSlides Part 2, without interactivity (Some browsers crash when there are too many interactive examples in one slide set.)\n2024-05-28\nSlides Part 1 (telling a story, making a point, making figures accessible)\nSlides Part 2 (figure composition and context, text annotations, overplotting)\nReuse\nText and figures are licensed under Creative Commons Attribution CC BY 4.0. Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under MIT. Note that figures in slides may be pulled in from external sources and may be licensed under different terms. For such images, image credits are available in the slide notes, accessible via pressing the letter ‘p’.\n\n\n\n",
- "last_modified": "2024-06-27T11:07:24-05:00"
+ "contents": "\n\nContents\nReuse\n\nMaterials for past and present workshops. Many workshop materials are based on content from my semester-long data visualization course at UT Austin.\n2024-08-12: Effective Data Visualization with ggplot2\nAll workshop materials will be posted here.\n2024-06-24: Visualizing Uncertainty and Trends\nKeynote, June 24 2024: slides\nWorkshop, June 27 2024:\nQuarto notebook\nHTML\nHTML with solutions\n\n2024-06-20: Effective Visual Communication with R\nWorkshop in support of Ukraine. To work through all the examples provided, you will need the following R packages: tidyverse, cowplot, ggiraph, sf, patchwork\nSlides Part 1\nSlides Part 2\nSlides Part 2, without interactivity (Some browsers crash when there are too many interactive examples in one slide set.)\n2024-05-28: Effective Visual Communication\nSlides Part 1 (telling a story, making a point, making figures accessible)\nSlides Part 2 (figure composition and context, text annotations, overplotting)\nReuse\nText and figures are licensed under Creative Commons Attribution CC BY 4.0. Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under MIT. Note that figures in slides may be pulled in from external sources and may be licensed under different terms.\n\n\n\n",
+ "last_modified": "2024-07-24T22:55:09+02:00"
}
],
"collections": []
diff --git a/docs/workshops.html b/docs/workshops.html
index bb45a8c..277468e 100644
--- a/docs/workshops.html
+++ b/docs/workshops.html
@@ -2484,14 +2484,14 @@
Workshops
-
Past and present workshops
-
Materials for past and present workshops. The specific slide sets may differ from the four main lessons. All materials are primarily based on material from my semester-long data visualization course at UT Austin.
Workshop in support of Ukraine. To work through all the examples provided, you will need the following R packages: tidyverse, cowplot, ggiraph, sf, patchwork
Slides Part 1 (telling a story, making a point, making figures accessible)
Slides Part 2 (figure composition and context, text annotations, overplotting)
Reuse
-
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under MIT. Note that figures in slides may be pulled in from external sources and may be licensed under different terms. For such images, image credits are available in the slide notes, accessible via pressing the letter ‘p’.
+
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under MIT. Note that figures in slides may be pulled in from external sources and may be licensed under different terms.
diff --git a/materials/positconf2024.Rmd b/materials/positconf2024.Rmd
new file mode 100644
index 0000000..01d8935
--- /dev/null
+++ b/materials/positconf2024.Rmd
@@ -0,0 +1,19 @@
+---
+title: "posit::conf(2024): Effective Data Visualization with ggplot2"
+description: ""
+output:
+ distill::distill_article:
+ toc: true
+ toc_depth: 2
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = FALSE)
+```
+
+Materials for posit::conf(2024) workshop, [Monday, Aug. 12, 9am](https://reg.conf.posit.co/flow/posit/positconf24/publiccatalog/page/publiccatalog/session/1707334048207001SOYr)
+
+
+## Reuse {.appendix}
+
+Text and figures are licensed under Creative Commons Attribution [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under [MIT](https://github.com/wilkelab/SDS375/LICENSE.md). Note that figures in slides may be pulled in from external sources and may be licensed under different terms.
\ No newline at end of file
diff --git a/materials/positconf2024.html b/materials/positconf2024.html
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+ posit::conf(2024): Effective Data Visualization with ggplot2
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posit::conf(2024): Effective Data Visualization with ggplot2
Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under MIT. Note that figures in slides may be pulled in from external sources and may be licensed under different terms.
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diff --git a/workshops.Rmd b/workshops.Rmd
index 61d3461..6f48819 100644
--- a/workshops.Rmd
+++ b/workshops.Rmd
@@ -11,12 +11,13 @@ output:
knitr::opts_chunk$set(echo = FALSE)
```
+Materials for past and present workshops. Many workshop materials are based on content from my semester-long [data visualization course at UT Austin.](https://wilkelab.org/SDS375/)
-## Past and present workshops
+2024-08-12: Effective Data Visualization with ggplot2
-Materials for past and present workshops. The specific slide sets may differ from the four main lessons. All materials are primarily based on material from my semester-long [data visualization course at UT Austin.](https://wilkelab.org/SDS375/)
+All workshop materials will be posted [here.](materials/positconf2024.html)
-Visualizing Uncertainty and Trends
+2024-06-24: Visualizing Uncertainty and Trends
- Keynote, June 24 2024: [slides](materials/2024-06-24.html)
- Workshop, June 27 2024:
@@ -24,7 +25,7 @@ Materials for past and present workshops. The specific slide sets may differ fro
- [HTML](materials/2024-06-27.html)
- [HTML with solutions](materials/2024-06-27-solutions.html)
-2024-06-20
+2024-06-20: Effective Visual Communication with R
Workshop in [support of Ukraine.](https://sites.google.com/view/dariia-mykhailyshyna/main/r-workshops-for-ukraine#h.95gc1ocexdze) To work through all the examples provided, you will need the following R packages: tidyverse, cowplot, ggiraph, sf, patchwork
@@ -32,11 +33,11 @@ Workshop in [support of Ukraine.](https://sites.google.com/view/dariia-mykhailys
- [Slides Part 2](materials/2024-06-20-part2.html)
- [Slides Part 2, without interactivity](materials/2024-06-20-part2-minimal.html) (Some browsers crash when there are too many interactive examples in one slide set.)
-2024-05-28
+2024-05-28: Effective Visual Communication
- [Slides Part 1](materials/2024-05-28-part1.html) (telling a story, making a point, making figures accessible)
- [Slides Part 2](materials/2024-05-28-part2.html) (figure composition and context, text annotations, overplotting)
## Reuse {.appendix}
-Text and figures are licensed under Creative Commons Attribution [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under [MIT](https://github.com/wilkelab/SDS375/LICENSE.md). Note that figures in slides may be pulled in from external sources and may be licensed under different terms. For such images, image credits are available in the slide notes, accessible via pressing the letter 'p'.
+Text and figures are licensed under Creative Commons Attribution [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Any computer code (R, HTML, CSS, etc.) in slides and worksheets, including in slide and worksheet sources, is also licensed under [MIT](https://github.com/wilkelab/SDS375/LICENSE.md). Note that figures in slides may be pulled in from external sources and may be licensed under different terms.
\ No newline at end of file