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No spelling errors! 🎉 |
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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 2024-11-06 with changes from the latest commit 12a9893 |
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@laderast sorry GitHub is not letting me add you as a reviewer again |
01-intro.Rmd
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| ## Motivation | ||
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| The course is intended for ... | ||
| Due to the frequent use of automated algorithms to collect and process data as well as the large size of datasets, it is critical to look at collected data and produce effective summaries. Data visualization is useful for exploration, exposition, and validation of research, aiding in the understanding of underlying biology in data sets, debugging errors in informatics workflows, and identifying/avoiding sources of bias. This course is designed to guide learners through constructing effective and accessible visualizations and point to additional practice and documentation resources. |
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I might avoid the word exposition just yet since it is jargon, or define it
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Good point. Maybe "exploration, validation, and presentation of research"?
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Looks good! just a couple of minor comments |
update ITCR link Co-authored-by: Carrie Wright <23014755+carriewright11@users.noreply.github.com>
| This course is available in multiple formats which allows you to take it in the way that best suites your needs. You can take it for certificate which can be for free or fee. | ||
| This course is part of a series of courses for the [Informatics Technology for Cancer Research (ITCR)](https://www.cancer.gov/about-nci/organization/cssi/research/itcr). This material was created by the ITCR Training Network (ITN) which is a collaborative effort of researchers around the United States to support cancer informatics and data science training through resources, technology, and events. This initiative is funded by the following grant: [National Cancer Institute (NCI)](https://www.cancer.gov/) UE5 CA254170. Our courses feature tools developed by ITCR Investigators and make it easier for principal investigators, scientists, and analysts to integrate cancer informatics into their workflows. Please see our website at [www.itcrtraining.org](www.itcrtraining.org) for more information. | ||
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| - The material for this course can be viewed without login requirement on this [Bookdown website](LINK HERE). This format might be most appropriate for you if you rely on screen-reader technology. |
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did we remove the info about all the locations that one can find the course (currently github as well)? maybe we have that elsewhere?
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Sorry, I had it on my to do list to add back later when the links existed. Adding it back
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no worries - you can add this part later - but the github part might be good now
| - The material for this course can be viewed without login requirement on this [Bookdown website](LINK HERE). This format might be most appropriate for you if you rely on screen-reader technology. | ||
| - This course can be taken for [free certification through Leanpub](LINK HERE). | ||
| - This course can be taken on [Coursera for certification here](LINK HERE) (but it is not available for free on Coursera). | ||
| - Our courses are open source, you can find the [source material for this course on GitHub](LINK HERE). |
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might want to keep the github info and will want to add the other pieces later
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(would want this in the other course too)
| - This course can be taken for [free certification through Leanpub](LINK HERE). | ||
| - This course can be taken on [Coursera for certification here](LINK HERE) (but it is not available for free on Coursera). | ||
| - Our courses are open source, you can find the [source material for this course on GitHub](LINK HERE). | ||
| Cancer Informatics Data Visualization in Practice is the second in a series of two courses on data visualization. This course focuses on using the best practice considerations discussed in the first course, specifically within context of Cancer Informatics Research. This course accomplishes this by discussing topics such as |
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could add major objectives to the other course here too - I was actually a tad confused which course you were referring to first so that might help fix that for people reading quickly like me :P
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Sorry, could you clarify what I should add here?
2 participants
This PR begins by filling out the shell of this repo for Part 2 of the Data Visualization Course (Data Visualizations Practice) by
making style changes per the guide on ottrproject.org
creating .Rmd chapters with headings based on the developed outline NOTE: still need to create more here for additional types of visualizations, but this will be after the LOs step.
making some quick edits to the README and ._bookdown.yml files
Next steps will include filling out learning objectives and the names/motivation/goal sections of the index.Rmd and 01-intro.Rmd files.
Like in part 1, looking for feedback on layout and content of the shell -- e.g., is there anything that doesn't seem to be there that should be?