Splits R Markdown chapter in two.
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@ -29,8 +29,9 @@ rmd_files: [
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"model-assess.Rmd",
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"model-assess.Rmd",
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"communicate.Rmd",
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"communicate.Rmd",
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"reproducible-research.Rmd",
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"dynamic-documents.Rmd",
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"communicate-plots.Rmd",
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"communicate-plots.Rmd",
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"rmarkdown.Rmd",
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]
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]
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before_chapter_script: "_common.R"
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before_chapter_script: "_common.R"
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# Introduction
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# Introduction
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Reproducible, literate code is the data science equivalent of the Scientific Report (i.e, Intro, Methods and materials, Results, Discussion).
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Reproducible, literate code is the data science equivalent of the Scientific Report (i.e, Intro, Methods and materials, Results, Discussion).
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Recommendations for learning more about communication:
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For writing: [Style: Lessons in Clarity and Grace](http://amzn.com/0321898680), <http://www.americanscientist.org/issues/id.877,y.0,no.,content.true,page.1,css.print/issue.aspx>
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For presentations: [slide:ology](http://amzn.com/0596522347), <http://www.howtogiveatalk.com>, <https://github.com/jtleek/talkguide> (academic), http://speaking.io, https://www.coursera.org/learn/public-speaking
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For expository visulisations: WSJ guide?
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Design: [The Non-Designer's Design Book](http://amzn.com/0133966151)
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# Dynamic Documents with R Markdown
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# Reproducible Research with R Markdown
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# R Markdown
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Recommendations for learning more about communication:
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For writing: [Style: Lessons in Clarity and Grace](http://amzn.com/0321898680), <http://www.americanscientist.org/issues/id.877,y.0,no.,content.true,page.1,css.print/issue.aspx>
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For presentations: [slide:ology](http://amzn.com/0596522347), <http://www.howtogiveatalk.com>, <https://github.com/jtleek/talkguide> (academic), http://speaking.io, https://www.coursera.org/learn/public-speaking
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For expository visulisations: WSJ guide?
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Design: [The Non-Designer's Design Book](http://amzn.com/0133966151)
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