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content/archive/external/contributor-r-project-org-rdevguide.md
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--- | ||
title: "R Development Guide" | ||
author: "R Contribution Working Group" | ||
date: "2024-07-25" | ||
date: "2024-12-04" | ||
tags: [Guide] | ||
link: "https://contributor.r-project.org/rdevguide/" | ||
length_weight: "3.5%" | ||
cover: "https://contributor.r-project.org/rdevguide/img/cover_page.png" | ||
repo: "r-devel/rdevguide" | ||
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This guide is a comprehensive resource for contributing to base R for both new and experienced contributors. ... | ||
This guide is a comprehensive resource for contributors (from all levels, beginners, intermediate, and seasoned) to the R project, facilitating their onboarding and helping them navigate the contribution process. ... |
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content/archive/internal/andemwue-quantitative-methoden.md
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title: "Quantitative Methoden" | ||
author: "Andreas Mändle" | ||
date: "2024-11-30T14:20:25Z" | ||
link: "https://bookdown.org/andemwue/quantitative-methoden/" | ||
length_weight: "9.5%" | ||
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Das Modul “Quantitative Methoden” vermittelt Ihnen grundlegende Kenntnisse, die in vielen Modulen Ihres Studiums relevant sein werden. Es behandelt quantitative Ansätze und Methoden, die auch insbesondere im Risikomanagement wesentlich sind. Statistische Verfahren, wie wir sie in diesem Modul kennen lernen, spielen eine wichtige Rolle bei der Quantifizierung von Risiken. Ein paar Beispiele seien im Folgenden genannt: Eine wichtige Anwendung ist beispielsweise die Bewertung von Risiken und Kapitalanforderungen. Kapitalanforderungen zur Risikoabdeckung werden häufig mit dem Value-at-Risk-Ansatz ... |
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content/archive/internal/content-b0a39391-b753-4d6c-8306-1bf89d95717f.md
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title: "Linear Algebra" | ||
author: "Bakti Siregar, M.Sc., CDS" | ||
date: "2024-12-01T10:51:25Z" | ||
tags: [Data Science, Machine Learning, Data Analysis] | ||
link: "https://bookdown.org/dsciencelabs/lina/" | ||
length_weight: "7.9%" | ||
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Linear Algebra is a branch of mathematics that plays a fundamental role in various fields, ranging from physics and engineering to economics and computer science. In recent decades, the advancements in technology and data science have further emphasized the importance of Linear Algebra, particularly in finance, business, and machine learning. This book is designed to bridge the understanding of the basic theories of Linear Algebra with its applications in modern contexts, where data analysis and decision optimization are increasingly essential for strategic decision-making. In the world of ... |
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content/archive/internal/ernestau7-ate-survey-report-bookdown.md
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title: "ATE Survey Report 2021" | ||
author: "ernestau7" | ||
date: "2024-11-25T19:37:56Z" | ||
tags: [Package, Education] | ||
date: "2024-12-01T01:08:24Z" | ||
tags: [Education] | ||
link: "https://bookdown.org/ernestau7/ate-survey-report-bookdown/" | ||
length_weight: "5.4%" | ||
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<p>This is a minimal example of using the bookdown package to write a book. | ||
The HTML output format for this example is bookdown::gitbook, | ||
set in the _output.yml file.</p> [...] The Scientific and Advanced-Technology Act (1992) called for establishing “a national advanced technician training program utilizing the resources of the nation’s two-year associate-degree- granting colleges” (Scientific and Advanced-Technology Act of 1992, Pub. L. No. 102-476, 106 Stat. 2297, 1992). In response, the National Science Foundation (NSF) created the Advanced Technological Education (ATE) program. The ATE ... | ||
The Advanced Technological Education (ATE) program, established by the National Science Foundation (NSF) in response to the Scientific and Advanced-Technology Act of 1992, aims to enhance the education of technicians in high-technology fields such as advanced manufacturing, biotechnology, and information technologies, with a focus on two-year colleges. This report presents findings from the 2022 ATE survey, conducted by EvaluATE at Western Michigan University, which gathered data from ATE principal investigators with active grants. Covering grantee activities, achievements, and initiatives from 2021, the survey includes topics such as academic program development, professional development, student support, and research outputs. |
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--- | ||
title: "Unlocking the power of data visualization with R - Unlocking the Power of Data Visualization with R" | ||
title: "Unlocking the Power of Data Visualization with R" | ||
author: "fede_gazzelloni" | ||
date: "2023-12-01T00:19:43Z" | ||
date: "2024-12-02T15:41:02Z" | ||
tags: [Visualization, R Programming, Tidy] | ||
link: "https://bookdown.org/fede_gazzelloni/UPDVwR/" | ||
length_weight: "100%" | ||
cover: "https://fgazzelloni.quarto.pub/unlocking-the-power-of-data-visualization-with-r/images/UPDVwR-logo-150px.png" | ||
pinned: false | ||
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A full list of Data Visualizations with code made with the R programming language. Welcome to Unlocking the Power of Data Visualization with R, where I proudly showcase my contributions to the #R4DS community through the #TidyTuesday, #30DayChartChallenge, and #30DayMapChallenge competitions, for 2021, 2022, and 2023. This platform is your gateway to data exploration, featuring a diverse collection of data visualizations created using the R programming language. Take a deep dive into the digital gallery, click on the image to discover insights, find inspiration, and learn from detailed ... | ||
A full list of Data Visualizations with code made with the R programming language. Welcome to Unlocking the Power of Data Visualization with R, where I proudly showcase my contributions to the #R4DS community through the #TidyTuesday, #30DayChartChallenge, #30DayMapChallenge and #DuBoisChallenge competitions, for years from 2021 to 2024. This platform is your gateway to data exploration, featuring a diverse collection of data visualizations created using the R programming language. Take a deep dive into the digital gallery, click on the image to discover insights, find inspiration, and learn ... |
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title: "Econometrics" | ||
author: "Josip Arnerić ©[email protected]" | ||
date: "2024-11-22T17:52:25Z" | ||
date: "2024-11-30T11:55:16Z" | ||
tags: [Econometrics, Course, Models] | ||
link: "https://bookdown.org/jarneric/econometrics/" | ||
length_weight: "6.9%" | ||
length_weight: "7.6%" | ||
pinned: false | ||
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title: "Jess’s Cookbook" | ||
author: "By: Jessica Leathe" | ||
date: "2024-12-03T17:22:39Z" | ||
tags: [Guide] | ||
link: "https://bookdown.org/jessicaleathe/Jess_Cookbook/" | ||
length_weight: "3.1%" | ||
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“Jess’s Cookbook” is your ultimate guide to creating delicious and memorable meals for every occasion. Packed with a variety of recipes for breakfast, lunch, dinner, and desserts, this book offers something for everyone, from classic favorites to creative culinary twists. Whether you’re a seasoned chef or a beginner in the kitchen, you’ll find easy-to-follow instructions, helpful tips, and precise measurements to ensure success with every dish. The cookbook also features a comprehensive Measurements and Conversions section, making it easier than ever to adapt recipes to your needs. Get ready ... |
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--- | ||
title: "A Guide on Data Analysis" | ||
author: "Mike Nguyen" | ||
date: "2024-09-11T19:29:48Z" | ||
tags: [Guide, Data Analysis, Data Science, Statistics, Machine Learning] | ||
date: "2024-12-05T03:16:34Z" | ||
tags: [Guide, Data Analysis, Data Science, Statistics, Machine Learning, Econometrics, Market] | ||
link: "https://bookdown.org/mike/data_analysis/" | ||
length_weight: "100%" | ||
cover: "https://bookdown.org/mike/data_analysis/images/cover.jpg" | ||
repo: "mikenguyen13/data_analysis" | ||
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This is a guide on how to conduct data analysis in the field of data science, statistics, or machine learning. [...] 1. APA (7th edition): Nguyen, M. (2020). A Guide on Data Analysis. Bookdown. https://bookdown.org/mike/data_analysis/ 2. MLA (8th edition): Nguyen, Mike. A Guide on Data Analysis. Bookdown, 2020. https://bookdown.org/mike/data_analysis/ 3. Chicago (17th edition): Nguyen, Mike. 2020. A Guide on Data Analysis. Bookdown. https://bookdown.org/mike/data_analysis/ 4. Harvard: Nguyen, M. (2020) A Guide on Data Analysis. Bookdown. Available at: https://bookdown.org/mike/data_analysis/ ... | ||
This is a guide on how to conduct data analysis in the field of data science, statistics, or machine learning. [...] The intended audience includes those with little to no experience in statistics, econometrics, or data science, as well as individuals with a budding interest in these fields who are eager to deepen their knowledge. While my primary domain of interest is marketing, the principles and methods discussed in this book are universally applicable to any discipline that employs scientific methods or data analysis. I hope this book provides a valuable starting point for aspiring ... |
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content/archive/internal/morleyjamesweston-data-visualization-for-comm-sci.md
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content/archive/internal/pbaumgartner-country-classifications.md
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title: "Country Classifications" | ||
author: "Peter Baumgartner" | ||
date: "2024-12-04T21:06:39Z" | ||
tags: [Package] | ||
link: "https://bookdown.org/pbaumgartner/country-classifications/" | ||
length_weight: "6.8%" | ||
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Peter Baumgartner At the moment (end of 2024) I am planning four chapters and one annex: This is my personal learning material. It does not represent an accepted scientific standard nor is the text peer reviewed or otherwise accepted by the scientific community. I am motivated by three reasons to write this book: I am using the {glossary} package (see A.1 Glossary) to create links to glossary entries . If you hover with your mouse over the double underlined links it opens an window with the appropriate glossary text. Try this example: IDA. At the end of each chapter I have listed the glossary ... |
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title: "R语言:从基础到进阶" | ||
title: "R 语言:从基础到进阶" | ||
author: "李喻骏" | ||
date: "2024-11-17T16:37:26Z" | ||
date: "2024-12-04T07:28:52Z" | ||
link: "https://bookdown.org/pheebie2008/RBA/" | ||
length_weight: "100%" | ||
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帮助零基础使用者掌握R语言的核心知识点,有效提高基于R语言的编程能力,形成扎实的R代码能力并运用于解决领域特定的问题中去。 [...] 本书是同名课程的自编教材,还在持续更新当中,计划出版,欢迎使用。 本书是面向没有 R 语言编程基础的相关人员开设的,其目标是帮助学习者掌握运用 R 语言解决实际问题的能力。 R 语言作为以统计分析功能见长的一门编程语言,常常会让使用者感到比较吃力。这种吃力的原因,大体上可以分为三种:统计功底不佳, R 编程功底不佳,两者均不佳。三种情况都容易导致在实际运用过程中出现代码看不懂的情况,表现为不知道代码什么意思,不知道为什么代码会出现这样的结果,不知道这样的结果如何解读,等等。 本书希望能够从 R ... | ||
帮助零基础使用者掌握 R 语言的核心知识点,有效提高基于 R 语言的编程能力,形成扎实的 R 代码能力并运用于解决领域特定的问题中去。 [...] 本书是同名课程的自编教材,还在持续更新当中,计划出版,欢迎使用。 本书是面向没有 R 语言编程基础的相关人员开设的,其目标是帮助学习者掌握运用 R 语言解决实际问题的能力。 R 语言作为以统计分析功能见长的一门编程语言,常常会让使用者感到比较吃力。这种吃力的原因,大体上可以分为三种:统计功底不佳, R 编程功底不佳,两者均不佳。三种情况都容易导致在实际运用过程中出现代码看不懂的情况,表现为不知道代码什么意思,不知道为什么代码会出现这样的结果,不知道这样的结果如何解读,等等。 本书希望能够从 R ... |
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