Showing 12 open source projects for "personal-build"

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  • 1
    Shiny

    Shiny

    Build interactive web apps directly from R with Shiny framework

    Shiny is an R package from RStudio that enables users to build interactive web applications using R without requiring knowledge of JavaScript, HTML, or CSS. It allows statisticians and data scientists to turn their analyses into fully functional web dashboards with reactive elements, data inputs, visualizations, and controls, making data communication more effective and dynamic.
    Downloads: 0 This Week
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  • 2
    Introduction to Zig

    Introduction to Zig

    An open, technical and introductory book for the Zig programming lang

    This is the official repository for the book "Introduction to Zig: a project-based Book", written by Pedro Duarte Faria. To know more about the book, check out the About this book section below. You can read the current version of the book in your web browser. The book is built using the publishing system Quarto in conjunction with a little bit of R code (zig_engine.R), which is responsible for calling the Zig compiler to compile and run the Zig code examples.
    Downloads: 1 This Week
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  • 3
    DiagrammeR

    DiagrammeR

    Graph and network visualization using tabular data in R

    DiagrammeR is an R package to create, manipulate, and visualize network graphs, flowcharts, diagrams, and more using Graphviz and Mermaid syntax. Integrates with RMarkdown and Shiny apps, supports node/edge traversal, and graph analysis algorithms, making it ideal for documenting processes, causal relationships, or data pipelines.
    Downloads: 4 This Week
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  • 4
    R Source

    R Source

    Read-only mirror of R source code

    ...Although it mirrors the R source for browsing and reference, it is not the “canonical development repo* (i.e. you can’t submit pull requests via that mirror). The repository includes build instructions, the full directory structure (src, src/library, doc, etc.), licensing information (GPL-2.0), and documentation. Developers, package authors, and curious users often browse this mirror to inspect implementation details, debug issues, or see how base functions are implemented in C or Fortran.
    Downloads: 2 This Week
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  • 5
    devtools

    devtools

    Tools to make an R developer's life easier

    devtools is an R package designed to simplify R package development by providing functions for creating, building, testing, and installing packages from various sources (e.g., CRAN, GitHub). It integrates with usethis, roxygen2, testthat, and simplifies workflows for developers and contributors to the R ecosystem.
    Downloads: 0 This Week
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  • 6
    golem

    golem

    A Framework for Building Robust Shiny Apps

    golem is an opinionated framework for developing production-grade Shiny applications in R, treating the app like a full R package. It scaffolds project structure, testing, documentation, CI/CD, and supports containerization—streamlining the build-to-deploy pipeline while enforcing clean architecture and maintainability.
    Downloads: 0 This Week
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  • 7
    Statistics for Data Scientists

    Statistics for Data Scientists

    "Statistics for Data Scientists: 50 Essential Concepts"

    ...It aims to demystify the bridge between textbook statistics and empirical modeling by walking through assumption checking, visualization, interpreting outputs, and pitfalls of misuse. Throughout, the content emphasizes clarity and accessibility, showing not just how to run statistical tests or build models, but what they mean and when one method is preferred over another.
    Downloads: 0 This Week
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  • 8
    R4DS (R for Data Science)

    R4DS (R for Data Science)

    R for data science: a book

    ...It covers the workflow from importing data, tidying, transforming, visualizing, modelling, communicating results, and programming in R. The repository contains the source files (Quarto / RMarkdown), example datasets, visualizations, exercises, and all content needed to build the book. Includes many example datasets, diagrams, code samples, and “hands-on” exercises. Comprehensive coverage of data-science workflow: data import, cleaning, transformation, exploration, modelling etc. Includes topics beyond basics: relational data (joins), date/time, strings, working with missing values, visualizing data, etc.
    Downloads: 1 This Week
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  • 9
    bbplot

    bbplot

    R package that helps create and export ggplot2 charts

    ...It offers templates and defaults that reduce styling overhead so users can focus on data and storytelling rather than aesthetic minutiae. Because visual consistency is important in media, bbplot helps non-designers build plots that align with professional publication standards. The repository includes documentation, vignettes, example plots, and guidelines for customization (e.g. switching colors, modifying typography).
    Downloads: 0 This Week
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  • 10
    bookdownplus

    bookdownplus

    Use R package bookdown for writing varied types of books and documents

    The package bookdownplus (Zhao 2017a) is an extension of R bookdown (Xie 2016). It is a collection of multiple templates on the basis of LaTeX, which is tailored so that I can work happily under the umbrella of bookdown. bookdownplus helps you write academic journal articles, guitar books, chemical equations, mails, calendars, and diaries. bookdown features the collaboration of many fantastic tools. However, an R beginner might be confused or depressed in struggling in the flood of LaTeX,...
    Downloads: 0 This Week
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  • 11
    Mastering Shiny

    Mastering Shiny

    Mastering Shiny: a book

    Mastering Shiny is a book (and its accompanying source repository) by Hadley Wickham that teaches people how to build interactive web applications using Shiny in R. It starts from basics (your first app, UI components, reactivity) and progresses to more advanced topics (dynamic UIs, modules, testing, security, performance). It is intended to help data scientists, analysts, or R users who may not have deep experience in web technologies become expert Shiny developers.
    Downloads: 1 This Week
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  • 12
    circlize

    circlize

    Circular visualization in R

    ...It implements many types of plots using circular layouts: chord diagrams, circular heatmaps, arcs/links between sectors, genomic data visualization, etc. It provides low-level drawing functions as well as high-level functions to build complex visualizations. It’s often used in genomics, network analysis, or other fields where relationships among categories or entities can be nicely displayed in a circular fashion. Support for circular heatmaps, multiple tracks (rings), for showing multiple layers of data per sector. Good performance and stable codebase, detailed documentation including a book on usage examples.
    Downloads: 0 This Week
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