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Books meta updates (#265)
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Co-authored-by: Christophe Dervieux <[email protected]>
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git_restore("content/archive/internal/kevin-davisross-gsb518-handouts-2022.md") # quarto book
git_restore("content/archive/internal/maria-gallegos-where-are-genes-2023.md")
git_restore("content/archive/internal/martin-shepperd-moderndatabook.md")
git_restore("content/archive/internal/mathiasharrer-doing-meta-analysis-in-r.md")
git_restore("content/archive/internal/marktrede-ds2inferenz.md")
git_restore("content/archive/internal/kim-intro-to-r.md")


gert::git_add("content/archive/internal")
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date: ""
tags: [Python, Package]
link: "https://claut.gitlab.io/man_ccia/"
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date: ""
tags: [Data Science, Education]
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date: ""
tags: [Data Science, Course]
link: "https://datasciencepractice.study/"
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title: "edav.info, 2nd edition"
author: "Joyce Robbins"
date: "2023-10-21"
date: "2023-10-28"
tags: [Exploratory Data Analysis, Visualization, Course]
link: "https://edav.info/"
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title: "Geocomputation with R"
author: "Robin Lovelace, Jakub Nowosad, Jannes Muenchow"
date: "2023-10-25"
date: "2023-11-01"
tags: [Geographic, Visualization, Data Science, Spatial Data]
link: "https://geocompr.robinlovelace.net/"
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author: "David Keyes // R for the Rest of Us"
date: ""
link: "https://howiuser.com/"
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Expand Up @@ -4,7 +4,7 @@ author: "Carson Sievert"
date: "2019-12-19"
tags: [Visualization, Shiny, Guide, Data Analysis, Package, Data Science, Tidyverse]
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title: "R Graphics Cookbook, 2nd edition"
author: "Winston Chang"
date: "2023-10-25"
date: "2023-11-01"
tags: [Guide]
link: "https://r-graphics.org/"
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date: "2020-06-12"
tags: [Package, Course, Data Science]
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date: "2020-09-09"
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link: "https://rmd4sci.njtierney.com/"
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title: "rOpenSci Packages: Development, Maintenance, and Peer Review"
author: "rOpenSci software review editorial team (current and alumni): Brooke Anderson, Scott Chamberlain, Laura DeCicco, Julia Gustavsen, Jeff Hollister, Anna Krystalli, Mauro Lepore, Lincoln Mullen, Mark Padgham, Karthik Ram, Emily Riederer, Noam Ross, Maëlle Salmon, Adam Sparks, Melina Vidoni"
date: "2023-10-25"
date: "2023-11-01"
tags: [Package, Guide, Github]
link: "https://ropensci.github.io/dev_guide/"
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title: "Coding Your Future: A Guidebook for Students"
author: "Duncan Hull and illustrated by Bryan Mathers. The text of this guidebook is licensed CC-BY-NC-ND see cdyf.me/#license and was last updated on 17 October, 2023, Duncan Hull and Bryan Mathers"
author: "Duncan Hull and illustrated by Bryan Mathers. The text of this guidebook is licensed CC-BY-NC-ND see cdyf.me/#license and was last updated on 27 October, 2023, Duncan Hull and Bryan Mathers"
date: ""
tags: [Guide]
link: "https://www.cdyf.me/"
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title: "Entscheidungsergonomie"
author: "Prof. Dr. Armin Eichinger"
date: "2023-10-05T12:11:52Z"
date: "2023-10-26T14:40:22Z"
link: "https://bookdown.org/Armin_E/ee-bd/"
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title: "高效文献计量工具推介"
author: "Austin Lee"
date: "2023-10-26T02:36:06Z"
date: "2023-11-01T12:04:55Z"
tags: [Github]
link: "https://bookdown.org/austinlee/urbanplaygroundbibliometric/"
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title: "Statystyka 2. Skrypt"
author: "Błażej Kochański"
date: "2023-10-23T09:28:47Z"
date: "2023-11-01T10:03:59Z"
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title: "Cooking After Retirement. 2nd. Edition"
author: "Bruce Cochrane"
date: "2023-10-24T00:20:50Z"
date: "2023-11-01T15:16:08Z"
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title: "STM1001 Topic 5: Hypothesis Testing"
author: "Amanda Shaker"
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title: "Statystyka 1 - skrypt"
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date: "2023-10-24T10:41:55Z"
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title: "STM1001 Topic 6: t-tests for two-sample hypothesis testing"
author: "Amanda Shaker"
date: "2023-01-11T02:29:16Z"
date: "2023-11-01T02:23:04Z"
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title: "SWBio Bioinformatics course task book"
author: "David Studholme"
date: "2023-10-25T14:38:20Z"
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<p>This is a minimal example of using the bookdown package to write a book.
set in the _output.yml file.
The HTML output format for this example is bookdown::gitbook,</p> [...] This is the task book for the SWBio Bioinformatics course.
This book summarises the tasks that you should work through during the workshops.
The first three workshops are planned to be in-person with the instructor(s) present.
During those in-person workshops there will be time to complete at least some of the tasks. Later in the week there are remote self-study sessions where you work at your own pace
and the ...
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title: "Systematic Reviewing Scientific Literature Seminar Workbook"
author: "Edward Stanhope"
date: "2023-09-01T15:20:26Z"
date: "2023-10-26T12:38:46Z"
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title: "A First Course on Statistical Inference"
author: "Isabel Molina Peralta and Eduardo García-Portugués"
date: "2023-10-25T22:33:02Z"
date: "2023-10-28T10:55:33Z"
tags: [Course, Statistics, Data Science]
link: "https://bookdown.org/egarpor/inference/"
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title: "INFO 532: Advanced GIS"
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title: "Índice de Condición Integral"
author: "Guillermo Correa-Londoño"
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date: "2023-10-27T18:44:20Z"
link: "https://bookdown.org/gcorrea/ICI/"
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title: "R paso a paso"
author: "Guillermo Correa-Londoño"
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date: "2023-10-27T18:50:19Z"
link: "https://bookdown.org/gcorrea/Rpap/"
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title: "Introduction to Data Science"
author: "Hansjörg Neth"
date: "2023-10-25T17:18:49Z"
date: "2023-10-31T12:47:45Z"
tags: [Data Science, Data Analysis, R Programming, Course, Statistics]
link: "https://bookdown.org/hneth/i2ds/"
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title: "Introduction to Environmental Data Science"
author: "Jerry Davis, SFSU Institute for Geographic Information Science"
date: "2023-10-19T06:02:23Z"
date: "2023-11-01T19:19:44Z"
tags: [Data Science, Data Analysis, Spatial Data, Exploratory Data Analysis, Tidyverse, Package]
link: "https://bookdown.org/igisc/EnvDataSci/"
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title: "Data Analysis with R"
author: "Joseph Fox"
date: "2023-10-12T17:43:14Z"
date: "2023-10-26T17:58:11Z"
tags: [Data Analysis]
link: "https://bookdown.org/jaf005/Data-Analysis-with-R/"
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title: "Fundamentos para la Minería de Datos y Big Data I,II"
author: "Jorge Herrera de la Cruz"
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date: "2023-11-01T20:52:09Z"
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title: "Data Science for All"
author: "Kristopher Pruitt"
date: "2023-10-23T14:51:49Z"
date: "2023-10-31T21:56:34Z"
tags: [Data Science, Textbook, R Programming]
link: "https://bookdown.org/kristopher_pruitt/DS-for-All/"
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title: "Stat 340 Notes: Fall 2023"
author: "Laurie Tupper"
date: "2023-10-11T16:12:05Z"
date: "2023-11-01T11:24:33Z"
tags: [Course]
link: "https://bookdown.org/ltupper/340f23_notes/"
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title: "Introduction to Inferential Statistics"
author: "Dr. Marc Trussler"
date: "2023-10-24T01:27:54Z"
date: "2023-10-31T17:16:32Z"
tags: [Statistics, Data Science, Tidy]
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Class notes for PSCI-1801 [...] Current as of 2023-10-23 Lecture: MW 12-1:30pm (MCNB 309) Dr. Marc Trussler [email protected] Fox-Fels Hall 32 (3814 Walnut Street) Office Hours: M 9-11am TA: Dylan Radley [email protected] Fox-Fels Hall 35 (3814 Walnut Street) Office Hours: Tuesday 11-12 Tuesday 3-4 Thursday 12-1 The first step of many data science sequences is to learn a great deal about how to work with individual data sets: cleaning, tidying, merging, describing and visualizing data. These are crucial skills in data analytics, but describing a data set is not our ultimate goal. The ...
Class notes for PSCI-1801 [...] Current as of 2023-10-31 Lecture: MW 12-1:30pm (MCNB 309) Dr. Marc Trussler [email protected] Fox-Fels Hall 32 (3814 Walnut Street) Office Hours: M 9-11am TA: Dylan Radley [email protected] Fox-Fels Hall 35 (3814 Walnut Street) Office Hours: Tuesday 11-12 Tuesday 3-4 Thursday 12-1 The first step of many data science sequences is to learn a great deal about how to work with individual data sets: cleaning, tidying, merging, describing and visualizing data. These are crucial skills in data analytics, but describing a data set is not our ultimate goal. The ...
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---
title: "The Data Preparation Journey"
author: "Martin Monkman"
date: "2023-10-16T03:06:04Z"
date: "2023-10-31T13:31:56Z"
tags: [Tidy, Data Science, Visualization, Textbook]
link: "https://bookdown.org/martin_monkman/DataPreparationJourney/"
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Before you can analyze your data, you need to ensure that it is clean and tidy. [...] Welcome to The Data Preparation Journey: Finding Your Way With R, a forthcoming book published with CRC Press as part of The Data Science Series. This is a work-in-progress; the most recent update is 2023-10-15. It is routinely noted that the Pareto principle applies to data science—80% of one’s time is spent on data collection and preparation, and the remaining 20% on the “fun stuff” like modeling, data visualization, and communication. There is no shortage of material—textbooks, journal articles, blog ...
Before you can analyze your data, you need to ensure that it is clean and tidy. [...] Welcome to The Data Preparation Journey: Finding Your Way With R, a forthcoming book published with CRC Press as part of The Data Science Series. This is a work-in-progress; the most recent update is 2023-10-31. It is routinely noted that the Pareto principle applies to data science—80% of one’s time is spent on data collection and preparation, and the remaining 20% on the “fun stuff” like modeling, data visualization, and communication. There is no shortage of material—textbooks, journal articles, blog ...
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title: "2023年度:データサイエンス 第1回"
author: "酒井 優行"
date: "2023-10-14T14:49:37Z"
date: "2023-10-27T12:49:53Z"
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title: "2023年度:データサイエンス 第2回"
author: "酒井 優行"
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2023年度:データサイエンス 第2回 [...] ...
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title: "2023年度:データサイエンス 課題"
author: "酒井 優行"
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date: "2023-10-27T13:43:38Z"
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