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Enhance data visualization attributes section with more images#51

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kweav merged 15 commits into
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addImages
Jul 7, 2026
Merged

Enhance data visualization attributes section with more images#51
kweav merged 15 commits into
mainfrom
addImages

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@kweav

@kweav kweav commented Jul 2, 2026

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Added more images for the chapter on data representations -- focusing on visual channels and other tools such as labeling, faceting, etc

Also adding examples of standard plot types from the literature in chapter 4.

Also simplified chapter 6 for the field speicfic visualizations a little as described in issue #43 and commented out some of the plots in that chapter I can get to later

Added more images for the chapter on data representations
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OTTR Check Results

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Last Updated: 2026-07-07-19:15:29

Comment thread 03_data.qmd Outdated
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Re-rendered previews from the latest commit:

* note not all html features will be properly displayed in the "quick preview" but it will give you a rough idea.

Updated at 2026-07-07 with changes from the latest commit 6f5ee65

Comment thread 03_data.qmd Outdated
kweav added 8 commits July 2, 2026 15:07
Updated links in the Violin plot example and added additional details for various plot types, but commented out ones where I don't have examples linked yet
Updated examples in the document to include citations for referenced figures and adjusted descriptions for clarity.
Added an outlined section on Confusion Matrix with descriptions, strengths, weaknesses, alternatives, and example interpretation (even though this is a machine learning field visualization, it is highly relevant to this field as well)
Comment thread 03_data.qmd Outdated
Comment thread 04_graph_info.qmd Outdated
Comment thread 04_graph_info.qmd Outdated
Comment thread 03_data.qmd
ottrpal::include_slide("https://docs.google.com/presentation/d/1fu-KfdN2ldOXB49o9zdpurFbVvl1bOh8cfQ3vu0szk4/edit?slide=id.g3b3602af4d0_0_25#slide=id.g3b3602af4d0_0_25")
```

Legends are a form of labels. In some cases, directly labeling groups on a plot is preferred over using a legend. This is especially true if the data groups are fairly well separated on the plot or you can visually associate the labels with whatever channel is being used to represent the groups (e.g., color).

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might be worth noting that this could be a good option if you have too many colors for viewers to distinguish - although faceting could also help

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Good idea!

@carriewright11 carriewright11 left a comment

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Looks good! could be nice to link each time we suggest alternatives to those sections

Co-authored-by: Carrie Wright <23014755+carriewright11@users.noreply.github.com>
@kweav

kweav commented Jul 7, 2026

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Added both of your comments as issues so that I handle them later.

Do the examples from the literature have too much jargon or is the level of jargon ok?

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Added both of your comments as issues so that I handle them later.

Do the examples from the literature have too much jargon or is the level of jargon ok?

I think it is ok because you give simpler explanations in general

@kweav kweav merged commit d58dbd5 into main Jul 7, 2026
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@kweav kweav deleted the addImages branch July 7, 2026 19:23
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2 participants