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bookdown
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Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson
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Apr 12, 2022 - TeX
Analysis of single cell RNA-seq data course
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Apr 11, 2022 - TeX
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knitr
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Exercise solutions to "R for Data Science"
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Apr 9, 2022 - R
Repository for 'Data Science in Education Using R' by Emily A. Bovee, Ryan A. Estrellado, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez, Routledge 2020
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Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
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Feb 17, 2022 - TeX
All R code and source files for the online guide "Doing Meta-Analysis with R: A Hands-On Guide"
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Mar 17, 2022 - R
rOpenSci Packages: Development, Maintenance, and Peer Review
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Apr 29, 2022 - R
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Mar 24, 2022 - HTML
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Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code is an open-access book-in-progress, under contract with O'Reilly Media.
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Apr 4, 2022 - TeX
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Apr 25, 2022 - RMarkdown
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Dec 4, 2018 - HTML
金融市场与体育彩券市场 --- 数据分析与量化交易
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Apr 28, 2022 - RMarkdown
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I'm happy to announce that I'll be writing the second edition of Data Science at the Command Line (O'Reilly, 2014). This issue explains why I think a second edition is needed, lists what changes I plan to make, and presents a tentative outline. Finally, I have a few words about the process and giving feedback.
Why a second edition?
While the command line as a technology and as a way of w