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Parent(s):
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init
Browse files- .gitattributes +5 -0
- Dockerfile +31 -10
- README.md +0 -10
- app.R +2 -58
- app/js/BookCard.jsx +72 -0
- app/js/GenreTag.jsx +24 -0
- app/js/index.js +4 -0
- app/logic/SVD_model.R +39 -0
- app/logic/__init__.R +2 -0
- app/logic/item_item_model.R +26 -0
- app/logic/recommend_system.R +78 -0
- app/logic/tfidf_model.R +107 -0
- app/logic/utils.R +47 -0
- app/main.R +132 -0
- app/static/css/app.min.css +1 -0
- app/static/favicon.ico +0 -0
- app/static/js/app.min.js +0 -0
- app/static/js/app.min.js.LICENSE.txt +34 -0
- app/styles/main.scss +259 -0
- app/view/__init__.R +2 -0
- app/view/mod_data_analysis.R +64 -0
- app/view/mod_recommend_books.R +131 -0
- app/view/mod_search_books.R +44 -0
- app/view/react.R +5 -0
- config.yml +3 -0
- data/dataset_goodreads_filtered.csv +3 -0
- data/item_to_item_similarity_dataframe_full.csv +3 -0
- data/ratings_filtered.rds +3 -0
- data/ref_corp_tfidf_new.rds +3 -0
- data/svdf.rds +3 -0
- dependencies.R +16 -0
- package-lock.json +1348 -0
- package.json +16 -0
- penguins.csv +0 -345
- renv.lock +2287 -0
- rhino.yml +1 -0
.gitattributes
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@@ -32,3 +32,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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data/item_to_item_similarity_dataframe_full.csv filter=lfs diff=lfs merge=lfs -text
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data/ratings_filtered.rds filter=lfs diff=lfs merge=lfs -text
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data/ref_corp_tfidf_new.rds filter=lfs diff=lfs merge=lfs -text
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data/svdf.rds filter=lfs diff=lfs merge=lfs -text
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data/dataset_goodreads_filtered.csv filter=lfs diff=lfs merge=lfs -text
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Dockerfile
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FROM rocker/shiny-verse:
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WORKDIR /code
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# Install
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RUN install2.r --error \
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FROM rocker/shiny-verse:4.3.0
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RUN apt-get update --fix-missing \
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&& apt-get install -y software-properties-common \
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&& rm -rf /var/lib/apt/lists/*
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RUN add-apt-repository -y ppa:cran/poppler
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RUN apt-get install -y libpoppler-cpp-dev
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# Workaround for renv cache
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RUN mkdir /.cache
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RUN chmod 777 /.cache
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WORKDIR /code
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# Install renv
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RUN install2.r --error \
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renv
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# Copy application code
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COPY renv.lock .
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COPY package.json .
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COPY package-lock.json .
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# Install dependencies
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RUN Rscript -e 'options(renv.config.cache.enabled = FALSE); renv::restore(prompt = FALSE)'
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COPY data/ ./data/
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COPY app.R .
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COPY config.yml .
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COPY rhino.yml .
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COPY app/ ./app/
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RUN ls -lah ./data/
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RUN mkdir -p ./app_cache/sass
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CMD ["R", "--quiet", "-e", "shiny::runApp(host='0.0.0.0', port=7860)"]
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README.md
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---
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title: Shiny for R template
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emoji: 📚
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colorFrom: blue
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colorTo: yellow
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sdk: docker
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.R
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library(dplyr)
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library(ggplot2)
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df <- readr::read_csv("penguins.csv")
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# Find subset of columns that are suitable for scatter plot
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df_num <- df |> select(where(is.numeric), -Year)
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ui <- page_sidebar(
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theme = bs_theme(bootswatch = "minty"),
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title = "Penguins explorer",
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sidebar = sidebar(
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varSelectInput("xvar", "X variable", df_num, selected = "Bill Length (mm)"),
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varSelectInput("yvar", "Y variable", df_num, selected = "Bill Depth (mm)"),
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checkboxGroupInput("species", "Filter by species",
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choices = unique(df$Species), selected = unique(df$Species)
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),
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hr(), # Add a horizontal rule
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checkboxInput("by_species", "Show species", TRUE),
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checkboxInput("show_margins", "Show marginal plots", TRUE),
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checkboxInput("smooth", "Add smoother"),
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),
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plotOutput("scatter")
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)
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server <- function(input, output, session) {
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subsetted <- reactive({
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req(input$species)
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df |> filter(Species %in% input$species)
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})
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output$scatter <- renderPlot(
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{
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p <- ggplot(subsetted(), aes(!!input$xvar, !!input$yvar)) +
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theme_light() +
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list(
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theme(legend.position = "bottom"),
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if (input$by_species) aes(color = Species),
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geom_point(),
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if (input$smooth) geom_smooth()
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)
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if (input$show_margins) {
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margin_type <- if (input$by_species) "density" else "histogram"
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p <- p |> ggExtra::ggMarginal(
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type = margin_type, margins = "both",
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size = 8, groupColour = input$by_species, groupFill = input$by_species
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)
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}
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p
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},
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res = 100
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)
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}
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shinyApp(ui, server)
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# Rhino / shinyApp entrypoint. Do not edit.
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rhino::app()
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app/js/BookCard.jsx
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const { useState } = React;
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import Swal from 'sweetalert2'
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import withReactContent from 'sweetalert2-react-content'
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import { FaStar, FaGoodreads } from "react-icons/fa";
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import { GenreTag } from './GenreTag';
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import Heart from '@react-sandbox/heart'
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const showDesc = (title, message) => {
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withReactContent(
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Swal.fire({
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title: title,
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text: message,
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icon: "info",
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width: '40rem',
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grow: "fullscreen"
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})
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)
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}
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export default function BookCard({ title, author_name, avg_rating, genres, description, imageUrl, url, model }) {
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const [active, setActive] = useState(false)
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return (
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<div className="book-card__container">
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<div className="book-card__cover">
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<img className="book-card__cover__image" src={imageUrl} alt={title} />
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</div>
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<div className="book-card__info-section">
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<div className="book-card__info-section__genre-section">
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{genres.map((genre) => (
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<GenreTag genre={genre} />
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))}
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</div>
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<h3 className="book-card__info-section__title">{title}</h3>
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<p className="book-card__info-section__author">{author_name}</p>
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<div className="book-card__info-section__rating">
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<FaStar className='book-card__info-section__rating-icon' />
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<span className='book-card__info-section__rating-icon-rating'>{avg_rating}</span>
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<a href={url} target="_blank" rel="noopener noreferrer">
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<FaGoodreads className='book-card__info-section__rating-icon' />
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</a>
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</div>
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<button
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className="book-card__info-section__show-description-btn btn btn-sm"
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onClick={() => showDesc(title, description)}
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>
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Show Description
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</button>
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<Heart
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width={34}
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height={34}
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active={active}
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onClick={() => {
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Shiny.setInputValue("app-recommend_books-myval", {
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title: title,
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model: model,
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genres: genres
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})
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console.log()
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setActive(!active)}
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}
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/>
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</div>
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</div>
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);
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}
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app/js/GenreTag.jsx
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function getClassName(genre) {
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const classMap = {
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"children": "children-color",
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"fantasy": "fantasy-color",
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"history_biography": "history_biography-color",
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"graphic_comics": "comics-color",
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"romance": "romance-color",
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"poetry": "poetry-color",
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"ya": "YA-color",
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"crime": "crime-color"
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};
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return classMap[genre.toLowerCase().trim()] || "default_color"; // Use toLowerCase for case-insensitivity
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}
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export const GenreTag = (props) => {
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return (
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<div className={getClassName(props.genre) + " book-card__info-section__genre-section-container" + " flex-center"}>
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<span className='book-card__info-section__genre-section-conteiner-text'>#{props.genre}</span>
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</div>
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)
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}
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app/js/index.js
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import BookCard from './BookCard';
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Rhino.registerReactComponents({ BookCard })
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app/logic/SVD_model.R
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box::use(
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recommenderlab[predict],
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methods[as],
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dplyr[select]
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)
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SVD_predict <- function(books_tab, selected_ids, ratings_tab, SVD_model, select_user_mat, how_many) {
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found_ids <- selected_ids[selected_ids %in% colnames(ratings_tab)]
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if (length(found_ids) == 0) {
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return(NULL)
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}
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ratings_line <- ratings_tab[1,]
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ratings_line[] <- NA
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ratings_line[found_ids] <- 5
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select_user_mat <- as.matrix(ratings_line)
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select_user_mat <- as(select_user_mat, 'realRatingMatrix')
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predict_SVDF <- predict(SVD_model,
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select_user_mat,
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type = "topNList",
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n = how_many
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)
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predict_SVDF_list <- as(predict_SVDF, 'list')
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predict_SVDF_list <- lapply(predict_SVDF_list, as.numeric)
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predict_SVDF_df <- as.data.frame(predict_SVDF_list)
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names(predict_SVDF_df) <- "book_id"
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recommendations_SVDF <- merge(predict_SVDF_df, books_tab, by = "book_id")
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recommendations_tab <- recommendations_SVDF |> select(
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title, average_rating, description, url, image_url, genres, author_name
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)
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recommendations_tab$model <- "SVD"
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return(recommendations_tab)
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}
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app/logic/__init__.R
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# Logic: application code independent from Shiny.
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# https://go.appsilon.com/rhino-project-structure
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app/logic/item_item_model.R
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box::use(
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dplyr[filter]
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)
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box::use(
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app/logic/utils[split_number, parse_recommendations]
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)
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9 |
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#' @export
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get_item_item_recommendations <- function(item_item_df, data_tab, ids, how_many) {
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11 |
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rows <- item_item_df |> filter(
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12 |
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book_id %in% ids
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13 |
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)
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14 |
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15 |
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distribution <- split_number(how_many, length(ids))
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16 |
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17 |
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result <- list()
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18 |
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for (i in 1:length(distribution)) {
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result <- append(result, rows[i,which(colnames(item_item_df) == "X1"):distribution[i]] |> as.vector())
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}
|
21 |
+
|
22 |
+
result <- result |> unlist()
|
23 |
+
return(parse_recommendations(result, data_tab, "ITEM-ITEM"))
|
24 |
+
}
|
25 |
+
|
26 |
+
|
app/logic/recommend_system.R
ADDED
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
box::use(
|
2 |
+
quanteda[corpus, docnames, dfm, convert, dfm_tfidf, dfm_subset],
|
3 |
+
quanteda.textstats[textstat_simil],
|
4 |
+
utils[head],
|
5 |
+
spacyr[spacy_parse],
|
6 |
+
dplyr[mutate, filter, select],
|
7 |
+
)
|
8 |
+
|
9 |
+
|
10 |
+
|
11 |
+
create_ref_corpus <- function(data_tab) {
|
12 |
+
corp <- corpus(data_tab, text_field = "description")
|
13 |
+
docnames(corp) <- data_tab$title
|
14 |
+
return(corp)
|
15 |
+
}
|
16 |
+
|
17 |
+
|
18 |
+
spacy_pipeline <- function(corp) {
|
19 |
+
res <- corp |> spacy_parse()
|
20 |
+
res_tokens <- res |>
|
21 |
+
filter(
|
22 |
+
! pos %in% c("PUNCT", "PART", "NUM", "SYM")
|
23 |
+
) |>
|
24 |
+
mutate(
|
25 |
+
lemma = tolower(lemma)
|
26 |
+
) |>
|
27 |
+
as.tokens(
|
28 |
+
use_lemma = TRUE
|
29 |
+
) |>
|
30 |
+
tokens_remove(stopwords("en"))
|
31 |
+
|
32 |
+
corp_dfm <- res_tokens |> dfm()
|
33 |
+
|
34 |
+
saveRDS(corp_dfm, "./data/ref_corp_dfm.rds")
|
35 |
+
|
36 |
+
|
37 |
+
corp_tfidf <- corp_dfm |> dfm_tfidf()
|
38 |
+
|
39 |
+
saveRDS(corp_tfidf, "./data/ref_corp_tfidf.rds")
|
40 |
+
}
|
41 |
+
|
42 |
+
#' export
|
43 |
+
get_recommendations <- function(corp_dfm, query_book_titles, simil_method = "ejaccard", how_many) {
|
44 |
+
query_dfm <- dfm_subset(corp_dfm, docname_ %in% query_book_titles)
|
45 |
+
|
46 |
+
tstat <- textstat_simil(
|
47 |
+
query_dfm, corp_dfm,
|
48 |
+
margin = "documents",
|
49 |
+
method = simil_method
|
50 |
+
)
|
51 |
+
|
52 |
+
stat_list <- as.list(tstat)
|
53 |
+
ordered <- sort(unlist(stat_list), decreasing = TRUE)
|
54 |
+
top_n <- head(ordered, n = how_many)
|
55 |
+
names(top_n) <- names(top_n) |> gsub(pattern = "\\..*$", replacement = "")
|
56 |
+
return(names(top_n))
|
57 |
+
}
|
58 |
+
|
59 |
+
#' export
|
60 |
+
parse_recommendations <- function(rec_book_names, data_tab) {
|
61 |
+
subset_books <- data_tab |>
|
62 |
+
filter(
|
63 |
+
title %in% rec_book_names
|
64 |
+
) |>
|
65 |
+
select(
|
66 |
+
title, average_rating, description, url, image_url, genres, author_name
|
67 |
+
)
|
68 |
+
return(subset_books)
|
69 |
+
}
|
70 |
+
|
71 |
+
# hp3 <- dfm_subset(corp_dfm, docname_ %in% "A Game of Thrones (A Song of Ice and Fire, #1)")
|
72 |
+
# tstat <- textstat_simil(hp3, corp_dfm,
|
73 |
+
# margin = "documents", method = "ejaccard")
|
74 |
+
# stat_list <- as.list(tstat)
|
75 |
+
# ordered <- sort(unlist(stat_list), decreasing = TRUE)
|
76 |
+
# top_ten <- head(ordered, n = 10)
|
77 |
+
# names(top_ten) <- names(top_ten) |> gsub(pattern = "\\..*$", replacement = "")
|
78 |
+
# top_ten
|
app/logic/tfidf_model.R
ADDED
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
box::use(
|
2 |
+
quanteda[corpus, docvars, docnames, dfm, convert, dfm_tfidf, dfm_subset],
|
3 |
+
quanteda.textstats[textstat_simil],
|
4 |
+
utils[head],
|
5 |
+
spacyr[spacy_parse],
|
6 |
+
dplyr[mutate, filter, select],
|
7 |
+
data.table[setorderv],
|
8 |
+
)
|
9 |
+
|
10 |
+
box::use(
|
11 |
+
app/logic/utils[parse_recommendations]
|
12 |
+
)
|
13 |
+
|
14 |
+
|
15 |
+
create_ref_corpus <- function(data_tab, field) {
|
16 |
+
corp <- corpus(data_tab, text_field = field)
|
17 |
+
docnames(corp) <- data_tab$book_id
|
18 |
+
return(corp)
|
19 |
+
}
|
20 |
+
|
21 |
+
|
22 |
+
spacy_pipeline <- function(corp) {
|
23 |
+
browser()
|
24 |
+
res <- corp |> spacy_parse(nounphrase = TRUE)
|
25 |
+
res_tokens <- res |>
|
26 |
+
filter(
|
27 |
+
! pos %in% c("PUNCT", "PART", "NUM", "SYM"),
|
28 |
+
! entity %in% c("PERSON_B", "PERSON_I")
|
29 |
+
) |>
|
30 |
+
mutate(
|
31 |
+
lemma = tolower(lemma)
|
32 |
+
)
|
33 |
+
|
34 |
+
all <- res_tokens |>
|
35 |
+
group_by(sentence_id, nounphrase) |>
|
36 |
+
mutate(nounphrase_id = cumsum(nounphrase %in% c("beg_root", ""))) |>
|
37 |
+
group_by(sentence_id, nounphrase_id) |>
|
38 |
+
mutate(has_entity = ifelse(entity!= "", 1, 0)) |>
|
39 |
+
as.data.table()
|
40 |
+
|
41 |
+
|
42 |
+
phrases <- all |>
|
43 |
+
filter(nounphrase_id == 0, has_entity == 1)
|
44 |
+
|
45 |
+
non_phrases <- fsetdiff(all, phrases)
|
46 |
+
|
47 |
+
phrases <- phrases |>
|
48 |
+
mutate(nounphrase_id = cumsum(nounphrase == "beg"), seq_id = -1)
|
49 |
+
|
50 |
+
phrases[1, ]$seq_id <- 0
|
51 |
+
|
52 |
+
phrases$seq_id <- cumsum(c(TRUE, phrases$sentence_id[-1]!= phrases$sentence_id[-nrow(phrases)] |
|
53 |
+
phrases$token_id[-1]!= phrases$token_id[-nrow(phrases)] + 1))
|
54 |
+
|
55 |
+
phrases_concat <- phrases[,c("token", "lemma", "pos", "entity") :=
|
56 |
+
.(paste(token, collapse = " "),
|
57 |
+
paste(lemma, collapse = " "),
|
58 |
+
paste(pos, collapse = " "),
|
59 |
+
paste(entity, collapse = " ")),
|
60 |
+
by =.(nounphrase_id, sentence_id, seq_id)]
|
61 |
+
|
62 |
+
phrases_concat <- unique(phrases_concat, by = c("sentence_id", "nounphrase_id", "token", "seq_id"))
|
63 |
+
non_phrases[, c("nounphrase_id", "has_entity") := NULL]
|
64 |
+
phrases_concat[, c("nounphrase_id", "has_entity", "seq_id") := NULL]
|
65 |
+
|
66 |
+
joined <- rbindlist(list(non_phrases, phrases_concat))
|
67 |
+
setorder(joined, doc_id, sentence_id, token_id)
|
68 |
+
|
69 |
+
class(joined) <- c("spacyr_parsed", class(joined))
|
70 |
+
res_tokens <- joined |> as.tokens(
|
71 |
+
use_lemma = TRUE
|
72 |
+
)
|
73 |
+
|
74 |
+
corp_dfm <- res_tokens |> dfm()
|
75 |
+
docvars(corp_dfm) <- docvars(corp)
|
76 |
+
|
77 |
+
saveRDS(corp_dfm, "./data/ref_corp_dfm_new.rds")
|
78 |
+
|
79 |
+
|
80 |
+
corp_tfidf <- corp_dfm |> dfm_tfidf()
|
81 |
+
|
82 |
+
saveRDS(corp_tfidf, "./data/ref_corp_tfidf_new.rds")
|
83 |
+
}
|
84 |
+
|
85 |
+
#' export
|
86 |
+
get_recommendations <- function(corp_dfm, data_tab, query_book_ids, genres, simil_method = "cosine", how_many) {
|
87 |
+
query_dfm <- dfm_subset(corp_dfm, docname_ %in% query_book_ids)
|
88 |
+
if (!is.null(genres)) {
|
89 |
+
corp_dfm <- corp_dfm[grep(genres, paste(docvars(corp_dfm)$genres)),]
|
90 |
+
}
|
91 |
+
rest_dfm <- dfm_subset(corp_dfm, !docname_ %in% query_book_ids)
|
92 |
+
|
93 |
+
|
94 |
+
tstat <- textstat_simil(
|
95 |
+
query_dfm, rest_dfm,
|
96 |
+
margin = "documents",
|
97 |
+
method = simil_method
|
98 |
+
) |>
|
99 |
+
as.data.frame()
|
100 |
+
setorderv(tstat, cols = c(simil_method), order = -1)
|
101 |
+
recommendations <- parse_recommendations(tstat[1:how_many,]$document2, data_tab, "TFIDF")
|
102 |
+
return(recommendations)
|
103 |
+
}
|
104 |
+
|
105 |
+
|
106 |
+
|
107 |
+
|
app/logic/utils.R
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
box::use(
|
2 |
+
dplyr[select, filter]
|
3 |
+
)
|
4 |
+
|
5 |
+
#' @export
|
6 |
+
split_number <- function(number, n){
|
7 |
+
# Calculate the base value for each part (integer division)
|
8 |
+
base_part = number %/% n
|
9 |
+
|
10 |
+
# Initialize the result list
|
11 |
+
result = rep(base_part, n)
|
12 |
+
|
13 |
+
# Distribute the remainder among the first n-1 elements
|
14 |
+
remainder = number %% n
|
15 |
+
i <- 1
|
16 |
+
for(one in rep(1, remainder)) {
|
17 |
+
result[[i]] <- result[[i]] + one
|
18 |
+
i <- i + 1
|
19 |
+
}
|
20 |
+
|
21 |
+
return(result)
|
22 |
+
}
|
23 |
+
|
24 |
+
|
25 |
+
#' @export
|
26 |
+
get_random_titles <- function(books_tab, how_many) {
|
27 |
+
rows <- sample(1:nrow(books_tab), how_many)
|
28 |
+
selected <- books_tab[rows,]
|
29 |
+
selected <- selected |> select(
|
30 |
+
title, average_rating, description, url, image_url, genres, author_name
|
31 |
+
)
|
32 |
+
selected$model <- "random"
|
33 |
+
return(selected)
|
34 |
+
}
|
35 |
+
|
36 |
+
#' @export
|
37 |
+
parse_recommendations <- function(rec_book_ids, data_tab, model) {
|
38 |
+
subset_books <- data_tab |>
|
39 |
+
filter(
|
40 |
+
book_id %in% rec_book_ids
|
41 |
+
) |>
|
42 |
+
select(
|
43 |
+
title, average_rating, description, url, image_url, genres, author_name
|
44 |
+
)
|
45 |
+
subset_books$model <- model
|
46 |
+
return(subset_books)
|
47 |
+
}
|
app/main.R
ADDED
@@ -0,0 +1,132 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
box::use(
|
2 |
+
utils[head, read.csv2],
|
3 |
+
shiny[div, moduleServer, downloadLink, downloadHandler, sliderInput, tagList, req, reactiveVal, actionButton, fileInput, observeEvent, h1, h3, p, NS, selectizeInput, HTML, tags],
|
4 |
+
bslib[page_fillable, page_sidebar, nav_panel, page_navbar, layout_columns, card, card_header, card_body, layout_column_wrap, value_box, input_dark_mode, nav_item],
|
5 |
+
shinyWidgets[pickerInput],
|
6 |
+
waiter[useWaiter, autoWaiter, waiter_show, spin_fading_circles, waiter_hide, waiterShowOnLoad, waiter_on_busy],
|
7 |
+
spacyr[spacy_install],
|
8 |
+
data.table[fread, fwrite],
|
9 |
+
)
|
10 |
+
|
11 |
+
box::use(
|
12 |
+
view / mod_search_books,
|
13 |
+
view / mod_recommend_books,
|
14 |
+
view / mod_data_analysis
|
15 |
+
)
|
16 |
+
|
17 |
+
|
18 |
+
#' @export
|
19 |
+
ui <- function(id) {
|
20 |
+
ns <- NS(id)
|
21 |
+
page_navbar(
|
22 |
+
title = "Book Recommender",
|
23 |
+
sidebar = my_sidebar(ns),
|
24 |
+
fillable = FALSE,
|
25 |
+
nav_panel(
|
26 |
+
useWaiter(),
|
27 |
+
waiter_on_busy(html = tagList(div(class = "main-waiter", h3("Give me a second to read all those books..."), spin_fading_circles()))),
|
28 |
+
# waiterShowOnLoad(html = tagList(div(class = "main-waiter", h3("Give me a second to read all those books..."), spin_fading_circles()))),
|
29 |
+
title = "Recommendations",
|
30 |
+
tags$main(
|
31 |
+
class = "main-container",
|
32 |
+
tags$section(
|
33 |
+
h1("Discover books you will love!", class = "align-text-center"),
|
34 |
+
div(class = "text-main align-text-center", p(" Enter books you like and the site will analyse the contents of the books to provide book recommendations and suggestions for what to read next.")),
|
35 |
+
mod_search_books$ui(ns("search_books")),
|
36 |
+
mod_recommend_books$ui(ns("recommend_books"))
|
37 |
+
)
|
38 |
+
)
|
39 |
+
),
|
40 |
+
nav_panel(
|
41 |
+
"Data analysis",
|
42 |
+
mod_data_analysis$ui(ns("data_analysis"))
|
43 |
+
),
|
44 |
+
# nav_item(
|
45 |
+
# fileInput(ns("upload_goodreads"), NULL, buttonLabel = "Upload goodreads", multiple = FALSE)
|
46 |
+
# ),
|
47 |
+
)
|
48 |
+
}
|
49 |
+
|
50 |
+
#' @export
|
51 |
+
server <- function(id) {
|
52 |
+
moduleServer(id, function(input, output, session) {
|
53 |
+
gargoyle::init("start_recommend_event")
|
54 |
+
|
55 |
+
# LOAD DATA ---------------------------------------------------------------
|
56 |
+
|
57 |
+
data <- load_data("data/dataset_goodreads_filtered.csv")
|
58 |
+
item_item_df <- fread("data/item_to_item_similarity_dataframe_full.csv")
|
59 |
+
user_ratings_tab <- readRDS("data/ratings_filtered.rds")
|
60 |
+
corp_dfm <- readRDS("data/ref_corp_tfidf_new.rds")
|
61 |
+
SVD_model <- readRDS("data/svdf.rds")
|
62 |
+
# spacy_install()
|
63 |
+
|
64 |
+
selected_books_ids <- mod_search_books$server("search_books", data$title, data$image_url, data$book_id)
|
65 |
+
mod_data_analysis$server("data_analysis")
|
66 |
+
|
67 |
+
output$downloadData <- downloadHandler(
|
68 |
+
filename = function() {
|
69 |
+
"system_recommendations_log.csv"
|
70 |
+
},
|
71 |
+
content = function(file) {
|
72 |
+
data <- fread("system_recommendations_log.csv")
|
73 |
+
fwrite(data, file)
|
74 |
+
}
|
75 |
+
)
|
76 |
+
|
77 |
+
observeEvent(input$method, {
|
78 |
+
mod_recommend_books$server(
|
79 |
+
"recommend_books",
|
80 |
+
user_ratings_tab,
|
81 |
+
SVD_model,
|
82 |
+
corp_dfm,
|
83 |
+
item_item_df,
|
84 |
+
selected_books_ids,
|
85 |
+
data,
|
86 |
+
input$how_many_recommends_slider,
|
87 |
+
input$simil_metrics,
|
88 |
+
input$method
|
89 |
+
)
|
90 |
+
})
|
91 |
+
|
92 |
+
observeEvent(input$how_many_recommends_slider, {
|
93 |
+
mod_recommend_books$server(
|
94 |
+
"recommend_books",
|
95 |
+
user_ratings_tab,
|
96 |
+
SVD_model,
|
97 |
+
corp_dfm,
|
98 |
+
item_item_df,
|
99 |
+
selected_books_ids,
|
100 |
+
data,
|
101 |
+
input$how_many_recommends_slider,
|
102 |
+
input$simil_metrics,
|
103 |
+
input$method
|
104 |
+
)
|
105 |
+
gargoyle::trigger("start_recommend_event")
|
106 |
+
})
|
107 |
+
})
|
108 |
+
}
|
109 |
+
|
110 |
+
|
111 |
+
load_data <- function(path) {
|
112 |
+
data <- data.table::fread(path)
|
113 |
+
data[, genres := strsplit(genre, split = ",")]
|
114 |
+
data[, average_rating := as.numeric(average_rating)]
|
115 |
+
data$genre <- NULL
|
116 |
+
data$similar_books <- NULL
|
117 |
+
return(data)
|
118 |
+
}
|
119 |
+
|
120 |
+
|
121 |
+
my_sidebar <- function(ns) {
|
122 |
+
tagList(
|
123 |
+
sliderInput(ns("how_many_recommends_slider"), "Number of books to recommend", 1, 100, 10, step = 1),
|
124 |
+
pickerInput(
|
125 |
+
inputId = ns("method"),
|
126 |
+
label = "recommendation method",
|
127 |
+
selected = "ALL",
|
128 |
+
choices = c("SVD", "TFIDF", "item-item", "ALL")
|
129 |
+
),
|
130 |
+
downloadLink(ns("downloadData"), "Download logs")
|
131 |
+
)
|
132 |
+
}
|
app/static/css/app.min.css
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
*{box-sizing:border-box}.value-box-showcase{overflow:hidden}.vscomp-option{height:100px !important}.booksearch__img{margin-right:.4rem;height:45px;width:30px}.booksearch__title{margin-left:.4rem;font-size:1rem;font-weight:600}.align-text-center{text-align:center}.text-main{font-size:1.2rem;font-weight:500;margin:1.2rem}.select_books_input_container{display:flex;justify-content:center;align-items:center}.select_books_input_container>div.form-group{width:75vw}.vscomp-options-container{max-height:420px !important}.flex-center{display:flex;flex-direction:column;justify-content:center;align-items:center}.main{height:95vh;margin:0;padding:3rem 0 1rem 0}.main-container{display:flex;flex-direction:column;justify-content:center;align-items:center}.main-waiter{display:flex;flex-direction:column;justify-content:space-between;align-items:center}#app-recommend_books-bookCardsOutput{display:flex;justify-content:space-evenly;align-items:center;flex-wrap:wrap;margin-top:2rem;width:80vw}.book-card__container{display:flex;justify-content:center;align-items:center;margin:1rem;flex-direction:column;width:300px;margin-bottom:1rem;-webkit-box-shadow:10px 10px 22px 4px rgba(0,0,0,.75);-moz-box-shadow:10px 10px 22px 4px rgba(0,0,0,.75);box-shadow:10px 10px 22px 4px rgba(0,0,0,.75)}.book-card__cover{display:flex;justify-content:center;align-items:center;flex-direction:column;height:200px;width:300px;background-color:#fffaf0}.book-card__cover__image{height:180;width:92;-webkit-box-shadow:10px 10px 22px 4px rgba(0,0,0,.75);-moz-box-shadow:10px 10px 22px 4px rgba(0,0,0,.75);box-shadow:10px 10px 22px 4px rgba(0,0,0,.75)}.book-card__info-section{display:flex;justify-content:center;align-items:center;flex-direction:column}.book-card__info-section__genre-section{display:flex;justify-content:space-evenly;align-items:center;flex-direction:row;margin-top:.5rem;margin-bottom:.5rem}.book-card__info-section__genre-section-container{color:#fff;text-align:center;margin-left:.25rem;margin-right:.25rem;border-radius:5px}.book-card__info-section__genre-section-conteiner-text{font-style:italic;font-size:.7rem;padding:5px;font-weight:600}.book-card__info-section__title{display:-webkit-box;-webkit-line-clamp:2;-webkit-box-orient:vertical;overflow:hidden;font-weight:600;font-size:1.2rem;height:3rem;color:#700202;text-align:center;margin-left:.3rem;margin-right:.3rem}.book-card__info-section__show-description-btn{background-color:#700202;color:#fff;margin-bottom:.6rem}.children-color{background-color:#4169e1}.fantasy-color{background-color:#b59410}.history_biography-color{background-color:#228b22}.comics-color{background-color:#000}.romance-color{background-color:maroon}.poetry-color{background-color:#003049}.YA-color{background-color:#f0f}.crime-color{background-color:navy}.book-card__info-section__rating-icon{height:1.5rem;width:1.5rem;color:#000;margin-bottom:5px}.book-card__info-section__rating-icon-rating{font-weight:550;font-size:1.1rem;margin-right:1rem;margin-left:.4rem}.book-card__info-section__author{color:#3d445e;font-weight:500;font-size:1.1rem}.img-card{max-width:450px !important}.img-gallery{display:grid;grid-template-columns:1fr 1fr 1fr}label.checkbtn{display:inline-flex;align-items:center;justify-content:center}.btn-group{flex-direction:column}@media(min-width: 960px){.btn-group{flex-direction:row}}
|
app/static/favicon.ico
ADDED
app/static/js/app.min.js
ADDED
The diff for this file is too large to render.
See raw diff
|
|
app/static/js/app.min.js.LICENSE.txt
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
1 |
+
/*!
|
2 |
+
* sweetalert2 v11.10.6
|
3 |
+
* Released under the MIT License.
|
4 |
+
*/
|
5 |
+
|
6 |
+
/**
|
7 |
+
* @license React
|
8 |
+
* react-dom.production.min.js
|
9 |
+
*
|
10 |
+
* Copyright (c) Facebook, Inc. and its affiliates.
|
11 |
+
*
|
12 |
+
* This source code is licensed under the MIT license found in the
|
13 |
+
* LICENSE file in the root directory of this source tree.
|
14 |
+
*/
|
15 |
+
|
16 |
+
/**
|
17 |
+
* @license React
|
18 |
+
* react.production.min.js
|
19 |
+
*
|
20 |
+
* Copyright (c) Facebook, Inc. and its affiliates.
|
21 |
+
*
|
22 |
+
* This source code is licensed under the MIT license found in the
|
23 |
+
* LICENSE file in the root directory of this source tree.
|
24 |
+
*/
|
25 |
+
|
26 |
+
/**
|
27 |
+
* @license React
|
28 |
+
* scheduler.production.min.js
|
29 |
+
*
|
30 |
+
* Copyright (c) Facebook, Inc. and its affiliates.
|
31 |
+
*
|
32 |
+
* This source code is licensed under the MIT license found in the
|
33 |
+
* LICENSE file in the root directory of this source tree.
|
34 |
+
*/
|
app/styles/main.scss
ADDED
@@ -0,0 +1,259 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
* {
|
2 |
+
box-sizing: border-box;
|
3 |
+
}
|
4 |
+
|
5 |
+
.value-box-showcase {
|
6 |
+
overflow: hidden;
|
7 |
+
}
|
8 |
+
|
9 |
+
.vscomp-option {
|
10 |
+
height: 100px !important;
|
11 |
+
}
|
12 |
+
|
13 |
+
|
14 |
+
|
15 |
+
.booksearch__img {
|
16 |
+
margin-right: 0.4rem;
|
17 |
+
height: 45px;
|
18 |
+
width: 30px;
|
19 |
+
}
|
20 |
+
|
21 |
+
.booksearch__title {
|
22 |
+
margin-left: 0.4rem;
|
23 |
+
font-size: 1rem;
|
24 |
+
font-weight: 600;
|
25 |
+
}
|
26 |
+
|
27 |
+
|
28 |
+
.align-text-center {
|
29 |
+
text-align: center;
|
30 |
+
}
|
31 |
+
|
32 |
+
.text-main {
|
33 |
+
font-size: 1.2rem;
|
34 |
+
font-weight: 500;
|
35 |
+
margin: 1.2rem;
|
36 |
+
}
|
37 |
+
|
38 |
+
|
39 |
+
.select_books_input_container {
|
40 |
+
display: flex;
|
41 |
+
justify-content: center;
|
42 |
+
align-items: center;
|
43 |
+
|
44 |
+
}
|
45 |
+
|
46 |
+
.select_books_input_container > div.form-group {
|
47 |
+
width: 75vw;
|
48 |
+
}
|
49 |
+
|
50 |
+
.vscomp-options-container {
|
51 |
+
max-height: 420px !important;
|
52 |
+
}
|
53 |
+
|
54 |
+
|
55 |
+
.flex-center {
|
56 |
+
display: flex;
|
57 |
+
flex-direction: column;
|
58 |
+
justify-content: center;
|
59 |
+
align-items: center;
|
60 |
+
}
|
61 |
+
|
62 |
+
.main {
|
63 |
+
height: 95vh;
|
64 |
+
margin: 0;
|
65 |
+
padding: 3rem 0 1rem 0;
|
66 |
+
}
|
67 |
+
|
68 |
+
.main-container {
|
69 |
+
display: flex;
|
70 |
+
flex-direction: column;
|
71 |
+
justify-content: center;
|
72 |
+
align-items: center;
|
73 |
+
}
|
74 |
+
|
75 |
+
.main-waiter {
|
76 |
+
display: flex;
|
77 |
+
flex-direction: column;
|
78 |
+
justify-content: space-between;
|
79 |
+
align-items: center;
|
80 |
+
}
|
81 |
+
|
82 |
+
|
83 |
+
#app-recommend_books-bookCardsOutput {
|
84 |
+
display: flex;
|
85 |
+
justify-content: space-evenly;
|
86 |
+
align-items: center;
|
87 |
+
flex-wrap: wrap;
|
88 |
+
margin-top: 2rem;
|
89 |
+
width: 80vw;
|
90 |
+
|
91 |
+
}
|
92 |
+
|
93 |
+
.book-card__container {
|
94 |
+
display: flex;
|
95 |
+
justify-content: center;
|
96 |
+
align-items: center;
|
97 |
+
margin: 1rem;
|
98 |
+
flex-direction: column;
|
99 |
+
width: 300px;
|
100 |
+
margin-bottom: 1rem;
|
101 |
+
-webkit-box-shadow: 10px 10px 22px 4px rgba(0, 0, 0, 0.75);
|
102 |
+
-moz-box-shadow: 10px 10px 22px 4px rgba(0, 0, 0, 0.75);
|
103 |
+
box-shadow: 10px 10px 22px 4px rgba(0, 0, 0, 0.75);
|
104 |
+
}
|
105 |
+
|
106 |
+
|
107 |
+
.book-card__cover {
|
108 |
+
display: flex;
|
109 |
+
justify-content: center;
|
110 |
+
align-items: center;
|
111 |
+
flex-direction: column;
|
112 |
+
height: 200px;
|
113 |
+
width: 300px;
|
114 |
+
background-color: floralwhite;
|
115 |
+
}
|
116 |
+
|
117 |
+
|
118 |
+
.book-card__cover__image {
|
119 |
+
height: 180;
|
120 |
+
width: 92;
|
121 |
+
-webkit-box-shadow: 10px 10px 22px 4px rgba(0, 0, 0, 0.75);
|
122 |
+
-moz-box-shadow: 10px 10px 22px 4px rgba(0, 0, 0, 0.75);
|
123 |
+
box-shadow: 10px 10px 22px 4px rgba(0, 0, 0, 0.75);
|
124 |
+
}
|
125 |
+
|
126 |
+
.book-card__info-section {
|
127 |
+
display: flex;
|
128 |
+
justify-content: center;
|
129 |
+
align-items: center;
|
130 |
+
flex-direction: column;
|
131 |
+
}
|
132 |
+
|
133 |
+
.book-card__info-section__genre-section {
|
134 |
+
display: flex;
|
135 |
+
justify-content: space-evenly;
|
136 |
+
align-items: center;
|
137 |
+
flex-direction: row;
|
138 |
+
margin-top: 0.5rem;
|
139 |
+
margin-bottom: 0.5rem;
|
140 |
+
|
141 |
+
}
|
142 |
+
|
143 |
+
.book-card__info-section__genre-section-container {
|
144 |
+
color: white;
|
145 |
+
text-align: center;
|
146 |
+
margin-left: 0.25rem;
|
147 |
+
margin-right: 0.25rem;
|
148 |
+
border-radius: 5px;
|
149 |
+
}
|
150 |
+
|
151 |
+
.book-card__info-section__genre-section-conteiner-text {
|
152 |
+
font-style: italic;
|
153 |
+
font-size: 0.7rem;
|
154 |
+
padding: 5px;
|
155 |
+
font-weight: 600;
|
156 |
+
}
|
157 |
+
|
158 |
+
.book-card__info-section__title {
|
159 |
+
display: -webkit-box;
|
160 |
+
-webkit-line-clamp: 2;
|
161 |
+
-webkit-box-orient: vertical;
|
162 |
+
overflow: hidden;
|
163 |
+
font-weight: 600;
|
164 |
+
font-size: 1.2rem;
|
165 |
+
height: 3rem;
|
166 |
+
color: #700202;
|
167 |
+
text-align: center;
|
168 |
+
margin-left: 0.3rem;
|
169 |
+
margin-right: 0.3rem;
|
170 |
+
}
|
171 |
+
|
172 |
+
|
173 |
+
.book-card__info-section__show-description-btn {
|
174 |
+
background-color: #700202;
|
175 |
+
color: white;
|
176 |
+
margin-bottom: 0.6rem;
|
177 |
+
}
|
178 |
+
|
179 |
+
.children-color {
|
180 |
+
background-color: #4169E1;
|
181 |
+
}
|
182 |
+
|
183 |
+
.fantasy-color {
|
184 |
+
background-color: #B59410;
|
185 |
+
}
|
186 |
+
|
187 |
+
|
188 |
+
.history_biography-color {
|
189 |
+
background-color: #228B22;
|
190 |
+
}
|
191 |
+
|
192 |
+
.comics-color {
|
193 |
+
background-color: black;
|
194 |
+
}
|
195 |
+
|
196 |
+
.romance-color {
|
197 |
+
background-color: #800000;
|
198 |
+
}
|
199 |
+
|
200 |
+
.poetry-color {
|
201 |
+
background-color: #003049;
|
202 |
+
}
|
203 |
+
|
204 |
+
.YA-color {
|
205 |
+
background-color: #FF00FF;
|
206 |
+
}
|
207 |
+
|
208 |
+
.crime-color {
|
209 |
+
background-color: navy;
|
210 |
+
}
|
211 |
+
|
212 |
+
.book-card__info-section__rating-icon {
|
213 |
+
height: 1.5rem;
|
214 |
+
width: 1.5rem;
|
215 |
+
color: black;
|
216 |
+
margin-bottom: 5px;
|
217 |
+
}
|
218 |
+
|
219 |
+
.book-card__info-section__rating-icon-rating {
|
220 |
+
font-weight: 550;
|
221 |
+
font-size: 1.1rem;
|
222 |
+
margin-right: 1rem;
|
223 |
+
margin-left: 0.4rem;
|
224 |
+
}
|
225 |
+
|
226 |
+
|
227 |
+
.book-card__info-section__author {
|
228 |
+
color: #3D445E;
|
229 |
+
font-weight: 500;
|
230 |
+
font-size: 1.1rem;
|
231 |
+
}
|
232 |
+
|
233 |
+
|
234 |
+
.img-card {
|
235 |
+
max-width: 450px !important;
|
236 |
+
}
|
237 |
+
|
238 |
+
.img-gallery {
|
239 |
+
display: grid;
|
240 |
+
grid-template-columns: 1fr 1fr 1fr;
|
241 |
+
}
|
242 |
+
|
243 |
+
|
244 |
+
label.checkbtn {
|
245 |
+
display: inline-flex;
|
246 |
+
align-items: center;
|
247 |
+
justify-content: center;
|
248 |
+
}
|
249 |
+
|
250 |
+
|
251 |
+
.btn-group {
|
252 |
+
flex-direction: column;
|
253 |
+
}
|
254 |
+
|
255 |
+
@media (min-width: 960px) {
|
256 |
+
.btn-group {
|
257 |
+
flex-direction: row;
|
258 |
+
}
|
259 |
+
}
|
app/view/__init__.R
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
# View: Shiny modules and related code.
|
2 |
+
# https://go.appsilon.com/rhino-project-structure
|
app/view/mod_data_analysis.R
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
box::use(
|
2 |
+
shiny[moduleServer, fluidRow, NS, uiOutput, div, renderImage, renderUI],
|
3 |
+
bslib[layout_column_wrap, value_box, card, card_header, card_body, layout_columns],
|
4 |
+
bsicons[bs_icon],
|
5 |
+
purrr[map],
|
6 |
+
grDevices[replayPlot]
|
7 |
+
)
|
8 |
+
|
9 |
+
#' @export
|
10 |
+
ui <- function(id) {
|
11 |
+
ns <- NS(id)
|
12 |
+
div(
|
13 |
+
layout_column_wrap(
|
14 |
+
value_box(
|
15 |
+
title = "Number of books",
|
16 |
+
value = "15591",
|
17 |
+
showcase = bs_icon("book-half"),
|
18 |
+
theme = "purple"
|
19 |
+
),
|
20 |
+
value_box(
|
21 |
+
title = "Average book rating",
|
22 |
+
value = "4.03",
|
23 |
+
showcase = bs_icon("star-fill"),
|
24 |
+
theme = "purple"
|
25 |
+
),
|
26 |
+
value_box(
|
27 |
+
title = "Number of genres",
|
28 |
+
value = "8",
|
29 |
+
showcase = bs_icon("tags-fill"),
|
30 |
+
theme = "purple"
|
31 |
+
)
|
32 |
+
),
|
33 |
+
uiOutput(ns("wordcloud_plots"))
|
34 |
+
|
35 |
+
)
|
36 |
+
|
37 |
+
}
|
38 |
+
|
39 |
+
#' @export
|
40 |
+
server <- function(id) {
|
41 |
+
moduleServer(id, function(input, output, session) {
|
42 |
+
images <- list.files("data/plots", full.names = TRUE)
|
43 |
+
output$wordcloud_plots <- renderUI({
|
44 |
+
div(
|
45 |
+
class = "img-gallery",
|
46 |
+
map(.x = images, .f = create_plot_card)
|
47 |
+
)
|
48 |
+
})
|
49 |
+
})
|
50 |
+
}
|
51 |
+
|
52 |
+
create_plot_card <- function(plot_img_path) {
|
53 |
+
|
54 |
+
name <- strsplit(plot_img_path, "/")[[1]][3] |> gsub(pattern = ".png*", replacement = "")
|
55 |
+
card(
|
56 |
+
class = "img-card",
|
57 |
+
card_header(name),
|
58 |
+
card_body(
|
59 |
+
renderImage({
|
60 |
+
list(src = plot_img_path, height = "400px")
|
61 |
+
})
|
62 |
+
)
|
63 |
+
)
|
64 |
+
}
|
app/view/mod_recommend_books.R
ADDED
@@ -0,0 +1,131 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
box::use(
|
2 |
+
shiny[
|
3 |
+
moduleServer,
|
4 |
+
textOutput,
|
5 |
+
renderText,
|
6 |
+
NS,
|
7 |
+
tags,
|
8 |
+
req,
|
9 |
+
div,
|
10 |
+
actionButton,
|
11 |
+
reactiveVal,
|
12 |
+
tagList,
|
13 |
+
observeEvent,
|
14 |
+
uiOutput,
|
15 |
+
renderUI
|
16 |
+
],
|
17 |
+
dplyr[select],
|
18 |
+
methods[as],
|
19 |
+
shinyWidgets[checkboxGroupButtons],
|
20 |
+
purrr[pmap],
|
21 |
+
data.table[data.table, fwrite]
|
22 |
+
|
23 |
+
)
|
24 |
+
|
25 |
+
box::use(
|
26 |
+
app/logic/tfidf_model[get_recommendations],
|
27 |
+
app/logic/SVD_model[SVD_predict],
|
28 |
+
app/logic/item_item_model[get_item_item_recommendations],
|
29 |
+
app/logic/utils[split_number, get_random_titles],
|
30 |
+
app/view/react[BookCard],
|
31 |
+
)
|
32 |
+
|
33 |
+
#' @export
|
34 |
+
ui <- function(id) {
|
35 |
+
ns <- NS(id)
|
36 |
+
div(
|
37 |
+
class = "flex-center",
|
38 |
+
checkboxGroupButtons(
|
39 |
+
inputId = ns("genre_selector"),
|
40 |
+
label = "Choose genres to be included:",
|
41 |
+
choices = c(`<div class=''>fantasy</div>` = "fantasy",
|
42 |
+
`<span class=''>children</span>` = "children",
|
43 |
+
`<span class=''>history & biography</span>` = "history_biography",
|
44 |
+
`<span class=''>comics</span>` = "comics",
|
45 |
+
`<span class=''>romance</span>` = "romance",
|
46 |
+
`<span class=''>poetry</span>` = "poetry",
|
47 |
+
`<span class=''>YA</span>` = "YA",
|
48 |
+
`<span class=''>crime</span>` = "crime"
|
49 |
+
),
|
50 |
+
justified = TRUE,
|
51 |
+
),
|
52 |
+
textOutput(ns("mytext1")),
|
53 |
+
|
54 |
+
|
55 |
+
actionButton(ns("get_recommend_btn"), "Get Recommendations"),
|
56 |
+
uiOutput(ns("bookCardsOutput"))
|
57 |
+
|
58 |
+
|
59 |
+
)
|
60 |
+
}
|
61 |
+
|
62 |
+
#' @export
|
63 |
+
server <- function(id, ratings_tab, SVD_model, corp_dfm, item_item_df, query_book_ids, data_tab, how_many, simil_metrics, method = "SVD") {
|
64 |
+
moduleServer(id, function(input, output, session) {
|
65 |
+
book_recommends_tab <- reactiveVal()
|
66 |
+
|
67 |
+
observeEvent(input$get_recommend_btn, {
|
68 |
+
gargoyle::trigger("start_recommend_event")
|
69 |
+
})
|
70 |
+
|
71 |
+
observeEvent(gargoyle::watch("start_recommend_event"), {
|
72 |
+
req(query_book_ids())
|
73 |
+
if (method == "SVD") {
|
74 |
+
recommendations <- SVD_predict(data_tab, query_book_ids(), ratings_tab, SVD_model, select_user_mat, how_many = how_many)
|
75 |
+
book_recommends_tab(recommendations)
|
76 |
+
}
|
77 |
+
else if (method == "TFIDF") {
|
78 |
+
recommendations <- get_recommendations(corp_dfm, data_tab, query_book_ids(), input$genre_selector, "cosine", how_many)
|
79 |
+
book_recommends_tab(recommendations)
|
80 |
+
}
|
81 |
+
else if (method == "item-item") {
|
82 |
+
recommendations <- get_item_item_recommendations(item_item_df, data_tab, query_book_ids(), how_many)
|
83 |
+
book_recommends_tab(recommendations)
|
84 |
+
}
|
85 |
+
else {
|
86 |
+
parts <- split_number(how_many, 3)
|
87 |
+
|
88 |
+
SVD_recommends <- SVD_predict(data_tab, query_book_ids(), ratings_tab, SVD_model, select_user_mat, how_many = parts[1])
|
89 |
+
tfidf_recommends <- get_recommendations(corp_dfm, data_tab, query_book_ids(), input$genre_selector, "cosine", parts[2])
|
90 |
+
item_item_recommendations <- get_item_item_recommendations(item_item_df, data_tab, query_book_ids(), how_many)
|
91 |
+
#random <- get_random_titles(data_tab, parts[3])
|
92 |
+
|
93 |
+
all_recs <- rbind(SVD_recommends, tfidf_recommends, item_item_recommendations)
|
94 |
+
all_recs <- all_recs[sample(1:nrow(all_recs)), ]
|
95 |
+
book_recommends_tab(all_recs)
|
96 |
+
|
97 |
+
}
|
98 |
+
})
|
99 |
+
|
100 |
+
observeEvent(input$myval, {
|
101 |
+
req(input$myval)
|
102 |
+
record <- input$myval
|
103 |
+
record_row <- data.table(
|
104 |
+
query_book_id = query_book_ids(),
|
105 |
+
recommended_title = record$title,
|
106 |
+
model = record$model,
|
107 |
+
datetime = date()
|
108 |
+
)
|
109 |
+
fwrite(record_row, "system_recommendations_log.csv", append = TRUE)
|
110 |
+
|
111 |
+
})
|
112 |
+
|
113 |
+
output$bookCardsOutput <- renderUI({
|
114 |
+
req(book_recommends_tab())
|
115 |
+
pmap(.l = book_recommends_tab(), .f = create_card)
|
116 |
+
})
|
117 |
+
})
|
118 |
+
}
|
119 |
+
|
120 |
+
create_card <- function(title, average_rating, description, url, image_url, genres, author_name, model) {
|
121 |
+
BookCard(title = title,
|
122 |
+
avg_rating = average_rating,
|
123 |
+
genres = as.list(genres),
|
124 |
+
description = description,
|
125 |
+
author_name = author_name,
|
126 |
+
imageUrl = image_url,
|
127 |
+
url = url,
|
128 |
+
model = model
|
129 |
+
|
130 |
+
)
|
131 |
+
}
|
app/view/mod_search_books.R
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
box::use(
|
2 |
+
shiny[moduleServer, observeEvent, reactive, NS, div, uiOutput, renderUI],
|
3 |
+
bslib[card, card_header, card_body],
|
4 |
+
shinyWidgets[virtualSelectInput],
|
5 |
+
)
|
6 |
+
|
7 |
+
#' @export
|
8 |
+
ui <- function(id) {
|
9 |
+
ns <- NS(id)
|
10 |
+
uiOutput(ns("select_books_ui_output"))
|
11 |
+
}
|
12 |
+
|
13 |
+
#' @export
|
14 |
+
server <- function(id, book_titles, book_url_images, book_ids) {
|
15 |
+
moduleServer(id, function(input, output, session) {
|
16 |
+
ns <- session$ns
|
17 |
+
|
18 |
+
|
19 |
+
output$select_books_ui_output <- renderUI({
|
20 |
+
res <- div(
|
21 |
+
class = "select_books_input_container",
|
22 |
+
virtualSelectInput(
|
23 |
+
ns("select_books_input"),
|
24 |
+
"",
|
25 |
+
choices = list(label=sprintf("<div class=\"booksearch\" >
|
26 |
+
<img class=\"booksearch__img\" src=\"%s\"/>
|
27 |
+
<span class=\"booksearch__title\">%s</span>
|
28 |
+
</div>", book_url_images, book_titles),
|
29 |
+
value = book_ids) |> purrr::transpose(),
|
30 |
+
multiple = TRUE,
|
31 |
+
optionsCount = 6,
|
32 |
+
search = TRUE,
|
33 |
+
width = "70vw",
|
34 |
+
showValueAsTags = TRUE,
|
35 |
+
html = TRUE
|
36 |
+
)
|
37 |
+
)
|
38 |
+
res
|
39 |
+
})
|
40 |
+
|
41 |
+
return(reactive({input$select_books_input}))
|
42 |
+
})
|
43 |
+
|
44 |
+
}
|
app/view/react.R
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
box::use(
|
2 |
+
rhino[react_component],
|
3 |
+
)
|
4 |
+
#' export
|
5 |
+
BookCard <- react_component("BookCard")
|
config.yml
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
rhino_log_level: !expr Sys.getenv("RHINO_LOG_LEVEL", "INFO")
|
3 |
+
rhino_log_file: !expr Sys.getenv("RHINO_LOG_FILE", NA)
|
data/dataset_goodreads_filtered.csv
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76a0ebb1bd296aa2530b9877287d8977b03b1090652d8d4db154460360ff225d
|
3 |
+
size 20323329
|
data/item_to_item_similarity_dataframe_full.csv
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8caa5f13d0f14c93bfb474f7d861179e03f60c54c1c12ee7c617f46f7305f5b1
|
3 |
+
size 12225876
|
data/ratings_filtered.rds
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fc9ed64cec40fce47ff3b624e284155d73febae0b0136cbdae6144dddd108d88
|
3 |
+
size 2926568
|
data/ref_corp_tfidf_new.rds
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7ffb64a1fc4ecde2ec9000efc63671fb0347bc893656dc04de8cb893db63df78
|
3 |
+
size 5515784
|
data/svdf.rds
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:935dcfd836b66a72084b7f3e8acd08bae4f4c5dfe91b1f02af273fac49acd2ab
|
3 |
+
size 10368893
|
dependencies.R
ADDED
@@ -0,0 +1,16 @@
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1 |
+
# This file allows packrat (used by rsconnect during deployment) to pick up dependencies.
|
2 |
+
library(bsicons)
|
3 |
+
library(bslib)
|
4 |
+
library(dplyr)
|
5 |
+
library(gargoyle)
|
6 |
+
library(quanteda)
|
7 |
+
library(quanteda.corpora)
|
8 |
+
library(quanteda.textplots)
|
9 |
+
library(quanteda.textstats)
|
10 |
+
library(readtext)
|
11 |
+
library(rhino)
|
12 |
+
library(shiny)
|
13 |
+
library(shiny.react)
|
14 |
+
library(shinyWidgets)
|
15 |
+
library(spacyr)
|
16 |
+
library(waiter)
|
package-lock.json
ADDED
@@ -0,0 +1,1348 @@
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package.json
ADDED
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{
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4 |
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5 |
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|
7 |
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14 |
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|
15 |
+
}
|
16 |
+
}
|
penguins.csv
DELETED
@@ -1,345 +0,0 @@
|
|
1 |
-
Species,Island,Bill Length (mm),Bill Depth (mm),Flipper Length (mm),Body Mass (g),Sex,Year
|
2 |
-
Adelie,Torgersen,39.1,18.7,181,3750,male,2007
|
3 |
-
Adelie,Torgersen,39.5,17.4,186,3800,female,2007
|
4 |
-
Adelie,Torgersen,40.3,18,195,3250,female,2007
|
5 |
-
Adelie,Torgersen,NA,NA,NA,NA,NA,2007
|
6 |
-
Adelie,Torgersen,36.7,19.3,193,3450,female,2007
|
7 |
-
Adelie,Torgersen,39.3,20.6,190,3650,male,2007
|
8 |
-
Adelie,Torgersen,38.9,17.8,181,3625,female,2007
|
9 |
-
Adelie,Torgersen,39.2,19.6,195,4675,male,2007
|
10 |
-
Adelie,Torgersen,34.1,18.1,193,3475,NA,2007
|
11 |
-
Adelie,Torgersen,42,20.2,190,4250,NA,2007
|
12 |
-
Adelie,Torgersen,37.8,17.1,186,3300,NA,2007
|
13 |
-
Adelie,Torgersen,37.8,17.3,180,3700,NA,2007
|
14 |
-
Adelie,Torgersen,41.1,17.6,182,3200,female,2007
|
15 |
-
Adelie,Torgersen,38.6,21.2,191,3800,male,2007
|
16 |
-
Adelie,Torgersen,34.6,21.1,198,4400,male,2007
|
17 |
-
Adelie,Torgersen,36.6,17.8,185,3700,female,2007
|
18 |
-
Adelie,Torgersen,38.7,19,195,3450,female,2007
|
19 |
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Adelie,Torgersen,42.5,20.7,197,4500,male,2007
|
20 |
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Adelie,Torgersen,34.4,18.4,184,3325,female,2007
|
21 |
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Adelie,Torgersen,46,21.5,194,4200,male,2007
|
22 |
-
Adelie,Biscoe,37.8,18.3,174,3400,female,2007
|
23 |
-
Adelie,Biscoe,37.7,18.7,180,3600,male,2007
|
24 |
-
Adelie,Biscoe,35.9,19.2,189,3800,female,2007
|
25 |
-
Adelie,Biscoe,38.2,18.1,185,3950,male,2007
|
26 |
-
Adelie,Biscoe,38.8,17.2,180,3800,male,2007
|
27 |
-
Adelie,Biscoe,35.3,18.9,187,3800,female,2007
|
28 |
-
Adelie,Biscoe,40.6,18.6,183,3550,male,2007
|
29 |
-
Adelie,Biscoe,40.5,17.9,187,3200,female,2007
|
30 |
-
Adelie,Biscoe,37.9,18.6,172,3150,female,2007
|
31 |
-
Adelie,Biscoe,40.5,18.9,180,3950,male,2007
|
32 |
-
Adelie,Dream,39.5,16.7,178,3250,female,2007
|
33 |
-
Adelie,Dream,37.2,18.1,178,3900,male,2007
|
34 |
-
Adelie,Dream,39.5,17.8,188,3300,female,2007
|
35 |
-
Adelie,Dream,40.9,18.9,184,3900,male,2007
|
36 |
-
Adelie,Dream,36.4,17,195,3325,female,2007
|
37 |
-
Adelie,Dream,39.2,21.1,196,4150,male,2007
|
38 |
-
Adelie,Dream,38.8,20,190,3950,male,2007
|
39 |
-
Adelie,Dream,42.2,18.5,180,3550,female,2007
|
40 |
-
Adelie,Dream,37.6,19.3,181,3300,female,2007
|
41 |
-
Adelie,Dream,39.8,19.1,184,4650,male,2007
|
42 |
-
Adelie,Dream,36.5,18,182,3150,female,2007
|
43 |
-
Adelie,Dream,40.8,18.4,195,3900,male,2007
|
44 |
-
Adelie,Dream,36,18.5,186,3100,female,2007
|
45 |
-
Adelie,Dream,44.1,19.7,196,4400,male,2007
|
46 |
-
Adelie,Dream,37,16.9,185,3000,female,2007
|
47 |
-
Adelie,Dream,39.6,18.8,190,4600,male,2007
|
48 |
-
Adelie,Dream,41.1,19,182,3425,male,2007
|
49 |
-
Adelie,Dream,37.5,18.9,179,2975,NA,2007
|
50 |
-
Adelie,Dream,36,17.9,190,3450,female,2007
|
51 |
-
Adelie,Dream,42.3,21.2,191,4150,male,2007
|
52 |
-
Adelie,Biscoe,39.6,17.7,186,3500,female,2008
|
53 |
-
Adelie,Biscoe,40.1,18.9,188,4300,male,2008
|
54 |
-
Adelie,Biscoe,35,17.9,190,3450,female,2008
|
55 |
-
Adelie,Biscoe,42,19.5,200,4050,male,2008
|
56 |
-
Adelie,Biscoe,34.5,18.1,187,2900,female,2008
|
57 |
-
Adelie,Biscoe,41.4,18.6,191,3700,male,2008
|
58 |
-
Adelie,Biscoe,39,17.5,186,3550,female,2008
|
59 |
-
Adelie,Biscoe,40.6,18.8,193,3800,male,2008
|
60 |
-
Adelie,Biscoe,36.5,16.6,181,2850,female,2008
|
61 |
-
Adelie,Biscoe,37.6,19.1,194,3750,male,2008
|
62 |
-
Adelie,Biscoe,35.7,16.9,185,3150,female,2008
|
63 |
-
Adelie,Biscoe,41.3,21.1,195,4400,male,2008
|
64 |
-
Adelie,Biscoe,37.6,17,185,3600,female,2008
|
65 |
-
Adelie,Biscoe,41.1,18.2,192,4050,male,2008
|
66 |
-
Adelie,Biscoe,36.4,17.1,184,2850,female,2008
|
67 |
-
Adelie,Biscoe,41.6,18,192,3950,male,2008
|
68 |
-
Adelie,Biscoe,35.5,16.2,195,3350,female,2008
|
69 |
-
Adelie,Biscoe,41.1,19.1,188,4100,male,2008
|
70 |
-
Adelie,Torgersen,35.9,16.6,190,3050,female,2008
|
71 |
-
Adelie,Torgersen,41.8,19.4,198,4450,male,2008
|
72 |
-
Adelie,Torgersen,33.5,19,190,3600,female,2008
|
73 |
-
Adelie,Torgersen,39.7,18.4,190,3900,male,2008
|
74 |
-
Adelie,Torgersen,39.6,17.2,196,3550,female,2008
|
75 |
-
Adelie,Torgersen,45.8,18.9,197,4150,male,2008
|
76 |
-
Adelie,Torgersen,35.5,17.5,190,3700,female,2008
|
77 |
-
Adelie,Torgersen,42.8,18.5,195,4250,male,2008
|
78 |
-
Adelie,Torgersen,40.9,16.8,191,3700,female,2008
|
79 |
-
Adelie,Torgersen,37.2,19.4,184,3900,male,2008
|
80 |
-
Adelie,Torgersen,36.2,16.1,187,3550,female,2008
|
81 |
-
Adelie,Torgersen,42.1,19.1,195,4000,male,2008
|
82 |
-
Adelie,Torgersen,34.6,17.2,189,3200,female,2008
|
83 |
-
Adelie,Torgersen,42.9,17.6,196,4700,male,2008
|
84 |
-
Adelie,Torgersen,36.7,18.8,187,3800,female,2008
|
85 |
-
Adelie,Torgersen,35.1,19.4,193,4200,male,2008
|
86 |
-
Adelie,Dream,37.3,17.8,191,3350,female,2008
|
87 |
-
Adelie,Dream,41.3,20.3,194,3550,male,2008
|
88 |
-
Adelie,Dream,36.3,19.5,190,3800,male,2008
|
89 |
-
Adelie,Dream,36.9,18.6,189,3500,female,2008
|
90 |
-
Adelie,Dream,38.3,19.2,189,3950,male,2008
|
91 |
-
Adelie,Dream,38.9,18.8,190,3600,female,2008
|
92 |
-
Adelie,Dream,35.7,18,202,3550,female,2008
|
93 |
-
Adelie,Dream,41.1,18.1,205,4300,male,2008
|
94 |
-
Adelie,Dream,34,17.1,185,3400,female,2008
|
95 |
-
Adelie,Dream,39.6,18.1,186,4450,male,2008
|
96 |
-
Adelie,Dream,36.2,17.3,187,3300,female,2008
|
97 |
-
Adelie,Dream,40.8,18.9,208,4300,male,2008
|
98 |
-
Adelie,Dream,38.1,18.6,190,3700,female,2008
|
99 |
-
Adelie,Dream,40.3,18.5,196,4350,male,2008
|
100 |
-
Adelie,Dream,33.1,16.1,178,2900,female,2008
|
101 |
-
Adelie,Dream,43.2,18.5,192,4100,male,2008
|
102 |
-
Adelie,Biscoe,35,17.9,192,3725,female,2009
|
103 |
-
Adelie,Biscoe,41,20,203,4725,male,2009
|
104 |
-
Adelie,Biscoe,37.7,16,183,3075,female,2009
|
105 |
-
Adelie,Biscoe,37.8,20,190,4250,male,2009
|
106 |
-
Adelie,Biscoe,37.9,18.6,193,2925,female,2009
|
107 |
-
Adelie,Biscoe,39.7,18.9,184,3550,male,2009
|
108 |
-
Adelie,Biscoe,38.6,17.2,199,3750,female,2009
|
109 |
-
Adelie,Biscoe,38.2,20,190,3900,male,2009
|
110 |
-
Adelie,Biscoe,38.1,17,181,3175,female,2009
|
111 |
-
Adelie,Biscoe,43.2,19,197,4775,male,2009
|
112 |
-
Adelie,Biscoe,38.1,16.5,198,3825,female,2009
|
113 |
-
Adelie,Biscoe,45.6,20.3,191,4600,male,2009
|
114 |
-
Adelie,Biscoe,39.7,17.7,193,3200,female,2009
|
115 |
-
Adelie,Biscoe,42.2,19.5,197,4275,male,2009
|
116 |
-
Adelie,Biscoe,39.6,20.7,191,3900,female,2009
|
117 |
-
Adelie,Biscoe,42.7,18.3,196,4075,male,2009
|
118 |
-
Adelie,Torgersen,38.6,17,188,2900,female,2009
|
119 |
-
Adelie,Torgersen,37.3,20.5,199,3775,male,2009
|
120 |
-
Adelie,Torgersen,35.7,17,189,3350,female,2009
|
121 |
-
Adelie,Torgersen,41.1,18.6,189,3325,male,2009
|
122 |
-
Adelie,Torgersen,36.2,17.2,187,3150,female,2009
|
123 |
-
Adelie,Torgersen,37.7,19.8,198,3500,male,2009
|
124 |
-
Adelie,Torgersen,40.2,17,176,3450,female,2009
|
125 |
-
Adelie,Torgersen,41.4,18.5,202,3875,male,2009
|
126 |
-
Adelie,Torgersen,35.2,15.9,186,3050,female,2009
|
127 |
-
Adelie,Torgersen,40.6,19,199,4000,male,2009
|
128 |
-
Adelie,Torgersen,38.8,17.6,191,3275,female,2009
|
129 |
-
Adelie,Torgersen,41.5,18.3,195,4300,male,2009
|
130 |
-
Adelie,Torgersen,39,17.1,191,3050,female,2009
|
131 |
-
Adelie,Torgersen,44.1,18,210,4000,male,2009
|
132 |
-
Adelie,Torgersen,38.5,17.9,190,3325,female,2009
|
133 |
-
Adelie,Torgersen,43.1,19.2,197,3500,male,2009
|
134 |
-
Adelie,Dream,36.8,18.5,193,3500,female,2009
|
135 |
-
Adelie,Dream,37.5,18.5,199,4475,male,2009
|
136 |
-
Adelie,Dream,38.1,17.6,187,3425,female,2009
|
137 |
-
Adelie,Dream,41.1,17.5,190,3900,male,2009
|
138 |
-
Adelie,Dream,35.6,17.5,191,3175,female,2009
|
139 |
-
Adelie,Dream,40.2,20.1,200,3975,male,2009
|
140 |
-
Adelie,Dream,37,16.5,185,3400,female,2009
|
141 |
-
Adelie,Dream,39.7,17.9,193,4250,male,2009
|
142 |
-
Adelie,Dream,40.2,17.1,193,3400,female,2009
|
143 |
-
Adelie,Dream,40.6,17.2,187,3475,male,2009
|
144 |
-
Adelie,Dream,32.1,15.5,188,3050,female,2009
|
145 |
-
Adelie,Dream,40.7,17,190,3725,male,2009
|
146 |
-
Adelie,Dream,37.3,16.8,192,3000,female,2009
|
147 |
-
Adelie,Dream,39,18.7,185,3650,male,2009
|
148 |
-
Adelie,Dream,39.2,18.6,190,4250,male,2009
|
149 |
-
Adelie,Dream,36.6,18.4,184,3475,female,2009
|
150 |
-
Adelie,Dream,36,17.8,195,3450,female,2009
|
151 |
-
Adelie,Dream,37.8,18.1,193,3750,male,2009
|
152 |
-
Adelie,Dream,36,17.1,187,3700,female,2009
|
153 |
-
Adelie,Dream,41.5,18.5,201,4000,male,2009
|
154 |
-
Gentoo,Biscoe,46.1,13.2,211,4500,female,2007
|
155 |
-
Gentoo,Biscoe,50,16.3,230,5700,male,2007
|
156 |
-
Gentoo,Biscoe,48.7,14.1,210,4450,female,2007
|
157 |
-
Gentoo,Biscoe,50,15.2,218,5700,male,2007
|
158 |
-
Gentoo,Biscoe,47.6,14.5,215,5400,male,2007
|
159 |
-
Gentoo,Biscoe,46.5,13.5,210,4550,female,2007
|
160 |
-
Gentoo,Biscoe,45.4,14.6,211,4800,female,2007
|
161 |
-
Gentoo,Biscoe,46.7,15.3,219,5200,male,2007
|
162 |
-
Gentoo,Biscoe,43.3,13.4,209,4400,female,2007
|
163 |
-
Gentoo,Biscoe,46.8,15.4,215,5150,male,2007
|
164 |
-
Gentoo,Biscoe,40.9,13.7,214,4650,female,2007
|
165 |
-
Gentoo,Biscoe,49,16.1,216,5550,male,2007
|
166 |
-
Gentoo,Biscoe,45.5,13.7,214,4650,female,2007
|
167 |
-
Gentoo,Biscoe,48.4,14.6,213,5850,male,2007
|
168 |
-
Gentoo,Biscoe,45.8,14.6,210,4200,female,2007
|
169 |
-
Gentoo,Biscoe,49.3,15.7,217,5850,male,2007
|
170 |
-
Gentoo,Biscoe,42,13.5,210,4150,female,2007
|
171 |
-
Gentoo,Biscoe,49.2,15.2,221,6300,male,2007
|
172 |
-
Gentoo,Biscoe,46.2,14.5,209,4800,female,2007
|
173 |
-
Gentoo,Biscoe,48.7,15.1,222,5350,male,2007
|
174 |
-
Gentoo,Biscoe,50.2,14.3,218,5700,male,2007
|
175 |
-
Gentoo,Biscoe,45.1,14.5,215,5000,female,2007
|
176 |
-
Gentoo,Biscoe,46.5,14.5,213,4400,female,2007
|
177 |
-
Gentoo,Biscoe,46.3,15.8,215,5050,male,2007
|
178 |
-
Gentoo,Biscoe,42.9,13.1,215,5000,female,2007
|
179 |
-
Gentoo,Biscoe,46.1,15.1,215,5100,male,2007
|
180 |
-
Gentoo,Biscoe,44.5,14.3,216,4100,NA,2007
|
181 |
-
Gentoo,Biscoe,47.8,15,215,5650,male,2007
|
182 |
-
Gentoo,Biscoe,48.2,14.3,210,4600,female,2007
|
183 |
-
Gentoo,Biscoe,50,15.3,220,5550,male,2007
|
184 |
-
Gentoo,Biscoe,47.3,15.3,222,5250,male,2007
|
185 |
-
Gentoo,Biscoe,42.8,14.2,209,4700,female,2007
|
186 |
-
Gentoo,Biscoe,45.1,14.5,207,5050,female,2007
|
187 |
-
Gentoo,Biscoe,59.6,17,230,6050,male,2007
|
188 |
-
Gentoo,Biscoe,49.1,14.8,220,5150,female,2008
|
189 |
-
Gentoo,Biscoe,48.4,16.3,220,5400,male,2008
|
190 |
-
Gentoo,Biscoe,42.6,13.7,213,4950,female,2008
|
191 |
-
Gentoo,Biscoe,44.4,17.3,219,5250,male,2008
|
192 |
-
Gentoo,Biscoe,44,13.6,208,4350,female,2008
|
193 |
-
Gentoo,Biscoe,48.7,15.7,208,5350,male,2008
|
194 |
-
Gentoo,Biscoe,42.7,13.7,208,3950,female,2008
|
195 |
-
Gentoo,Biscoe,49.6,16,225,5700,male,2008
|
196 |
-
Gentoo,Biscoe,45.3,13.7,210,4300,female,2008
|
197 |
-
Gentoo,Biscoe,49.6,15,216,4750,male,2008
|
198 |
-
Gentoo,Biscoe,50.5,15.9,222,5550,male,2008
|
199 |
-
Gentoo,Biscoe,43.6,13.9,217,4900,female,2008
|
200 |
-
Gentoo,Biscoe,45.5,13.9,210,4200,female,2008
|
201 |
-
Gentoo,Biscoe,50.5,15.9,225,5400,male,2008
|
202 |
-
Gentoo,Biscoe,44.9,13.3,213,5100,female,2008
|
203 |
-
Gentoo,Biscoe,45.2,15.8,215,5300,male,2008
|
204 |
-
Gentoo,Biscoe,46.6,14.2,210,4850,female,2008
|
205 |
-
Gentoo,Biscoe,48.5,14.1,220,5300,male,2008
|
206 |
-
Gentoo,Biscoe,45.1,14.4,210,4400,female,2008
|
207 |
-
Gentoo,Biscoe,50.1,15,225,5000,male,2008
|
208 |
-
Gentoo,Biscoe,46.5,14.4,217,4900,female,2008
|
209 |
-
Gentoo,Biscoe,45,15.4,220,5050,male,2008
|
210 |
-
Gentoo,Biscoe,43.8,13.9,208,4300,female,2008
|
211 |
-
Gentoo,Biscoe,45.5,15,220,5000,male,2008
|
212 |
-
Gentoo,Biscoe,43.2,14.5,208,4450,female,2008
|
213 |
-
Gentoo,Biscoe,50.4,15.3,224,5550,male,2008
|
214 |
-
Gentoo,Biscoe,45.3,13.8,208,4200,female,2008
|
215 |
-
Gentoo,Biscoe,46.2,14.9,221,5300,male,2008
|
216 |
-
Gentoo,Biscoe,45.7,13.9,214,4400,female,2008
|
217 |
-
Gentoo,Biscoe,54.3,15.7,231,5650,male,2008
|
218 |
-
Gentoo,Biscoe,45.8,14.2,219,4700,female,2008
|
219 |
-
Gentoo,Biscoe,49.8,16.8,230,5700,male,2008
|
220 |
-
Gentoo,Biscoe,46.2,14.4,214,4650,NA,2008
|
221 |
-
Gentoo,Biscoe,49.5,16.2,229,5800,male,2008
|
222 |
-
Gentoo,Biscoe,43.5,14.2,220,4700,female,2008
|
223 |
-
Gentoo,Biscoe,50.7,15,223,5550,male,2008
|
224 |
-
Gentoo,Biscoe,47.7,15,216,4750,female,2008
|
225 |
-
Gentoo,Biscoe,46.4,15.6,221,5000,male,2008
|
226 |
-
Gentoo,Biscoe,48.2,15.6,221,5100,male,2008
|
227 |
-
Gentoo,Biscoe,46.5,14.8,217,5200,female,2008
|
228 |
-
Gentoo,Biscoe,46.4,15,216,4700,female,2008
|
229 |
-
Gentoo,Biscoe,48.6,16,230,5800,male,2008
|
230 |
-
Gentoo,Biscoe,47.5,14.2,209,4600,female,2008
|
231 |
-
Gentoo,Biscoe,51.1,16.3,220,6000,male,2008
|
232 |
-
Gentoo,Biscoe,45.2,13.8,215,4750,female,2008
|
233 |
-
Gentoo,Biscoe,45.2,16.4,223,5950,male,2008
|
234 |
-
Gentoo,Biscoe,49.1,14.5,212,4625,female,2009
|
235 |
-
Gentoo,Biscoe,52.5,15.6,221,5450,male,2009
|
236 |
-
Gentoo,Biscoe,47.4,14.6,212,4725,female,2009
|
237 |
-
Gentoo,Biscoe,50,15.9,224,5350,male,2009
|
238 |
-
Gentoo,Biscoe,44.9,13.8,212,4750,female,2009
|
239 |
-
Gentoo,Biscoe,50.8,17.3,228,5600,male,2009
|
240 |
-
Gentoo,Biscoe,43.4,14.4,218,4600,female,2009
|
241 |
-
Gentoo,Biscoe,51.3,14.2,218,5300,male,2009
|
242 |
-
Gentoo,Biscoe,47.5,14,212,4875,female,2009
|
243 |
-
Gentoo,Biscoe,52.1,17,230,5550,male,2009
|
244 |
-
Gentoo,Biscoe,47.5,15,218,4950,female,2009
|
245 |
-
Gentoo,Biscoe,52.2,17.1,228,5400,male,2009
|
246 |
-
Gentoo,Biscoe,45.5,14.5,212,4750,female,2009
|
247 |
-
Gentoo,Biscoe,49.5,16.1,224,5650,male,2009
|
248 |
-
Gentoo,Biscoe,44.5,14.7,214,4850,female,2009
|
249 |
-
Gentoo,Biscoe,50.8,15.7,226,5200,male,2009
|
250 |
-
Gentoo,Biscoe,49.4,15.8,216,4925,male,2009
|
251 |
-
Gentoo,Biscoe,46.9,14.6,222,4875,female,2009
|
252 |
-
Gentoo,Biscoe,48.4,14.4,203,4625,female,2009
|
253 |
-
Gentoo,Biscoe,51.1,16.5,225,5250,male,2009
|
254 |
-
Gentoo,Biscoe,48.5,15,219,4850,female,2009
|
255 |
-
Gentoo,Biscoe,55.9,17,228,5600,male,2009
|
256 |
-
Gentoo,Biscoe,47.2,15.5,215,4975,female,2009
|
257 |
-
Gentoo,Biscoe,49.1,15,228,5500,male,2009
|
258 |
-
Gentoo,Biscoe,47.3,13.8,216,4725,NA,2009
|
259 |
-
Gentoo,Biscoe,46.8,16.1,215,5500,male,2009
|
260 |
-
Gentoo,Biscoe,41.7,14.7,210,4700,female,2009
|
261 |
-
Gentoo,Biscoe,53.4,15.8,219,5500,male,2009
|
262 |
-
Gentoo,Biscoe,43.3,14,208,4575,female,2009
|
263 |
-
Gentoo,Biscoe,48.1,15.1,209,5500,male,2009
|
264 |
-
Gentoo,Biscoe,50.5,15.2,216,5000,female,2009
|
265 |
-
Gentoo,Biscoe,49.8,15.9,229,5950,male,2009
|
266 |
-
Gentoo,Biscoe,43.5,15.2,213,4650,female,2009
|
267 |
-
Gentoo,Biscoe,51.5,16.3,230,5500,male,2009
|
268 |
-
Gentoo,Biscoe,46.2,14.1,217,4375,female,2009
|
269 |
-
Gentoo,Biscoe,55.1,16,230,5850,male,2009
|
270 |
-
Gentoo,Biscoe,44.5,15.7,217,4875,NA,2009
|
271 |
-
Gentoo,Biscoe,48.8,16.2,222,6000,male,2009
|
272 |
-
Gentoo,Biscoe,47.2,13.7,214,4925,female,2009
|
273 |
-
Gentoo,Biscoe,NA,NA,NA,NA,NA,2009
|
274 |
-
Gentoo,Biscoe,46.8,14.3,215,4850,female,2009
|
275 |
-
Gentoo,Biscoe,50.4,15.7,222,5750,male,2009
|
276 |
-
Gentoo,Biscoe,45.2,14.8,212,5200,female,2009
|
277 |
-
Gentoo,Biscoe,49.9,16.1,213,5400,male,2009
|
278 |
-
Chinstrap,Dream,46.5,17.9,192,3500,female,2007
|
279 |
-
Chinstrap,Dream,50,19.5,196,3900,male,2007
|
280 |
-
Chinstrap,Dream,51.3,19.2,193,3650,male,2007
|
281 |
-
Chinstrap,Dream,45.4,18.7,188,3525,female,2007
|
282 |
-
Chinstrap,Dream,52.7,19.8,197,3725,male,2007
|
283 |
-
Chinstrap,Dream,45.2,17.8,198,3950,female,2007
|
284 |
-
Chinstrap,Dream,46.1,18.2,178,3250,female,2007
|
285 |
-
Chinstrap,Dream,51.3,18.2,197,3750,male,2007
|
286 |
-
Chinstrap,Dream,46,18.9,195,4150,female,2007
|
287 |
-
Chinstrap,Dream,51.3,19.9,198,3700,male,2007
|
288 |
-
Chinstrap,Dream,46.6,17.8,193,3800,female,2007
|
289 |
-
Chinstrap,Dream,51.7,20.3,194,3775,male,2007
|
290 |
-
Chinstrap,Dream,47,17.3,185,3700,female,2007
|
291 |
-
Chinstrap,Dream,52,18.1,201,4050,male,2007
|
292 |
-
Chinstrap,Dream,45.9,17.1,190,3575,female,2007
|
293 |
-
Chinstrap,Dream,50.5,19.6,201,4050,male,2007
|
294 |
-
Chinstrap,Dream,50.3,20,197,3300,male,2007
|
295 |
-
Chinstrap,Dream,58,17.8,181,3700,female,2007
|
296 |
-
Chinstrap,Dream,46.4,18.6,190,3450,female,2007
|
297 |
-
Chinstrap,Dream,49.2,18.2,195,4400,male,2007
|
298 |
-
Chinstrap,Dream,42.4,17.3,181,3600,female,2007
|
299 |
-
Chinstrap,Dream,48.5,17.5,191,3400,male,2007
|
300 |
-
Chinstrap,Dream,43.2,16.6,187,2900,female,2007
|
301 |
-
Chinstrap,Dream,50.6,19.4,193,3800,male,2007
|
302 |
-
Chinstrap,Dream,46.7,17.9,195,3300,female,2007
|
303 |
-
Chinstrap,Dream,52,19,197,4150,male,2007
|
304 |
-
Chinstrap,Dream,50.5,18.4,200,3400,female,2008
|
305 |
-
Chinstrap,Dream,49.5,19,200,3800,male,2008
|
306 |
-
Chinstrap,Dream,46.4,17.8,191,3700,female,2008
|
307 |
-
Chinstrap,Dream,52.8,20,205,4550,male,2008
|
308 |
-
Chinstrap,Dream,40.9,16.6,187,3200,female,2008
|
309 |
-
Chinstrap,Dream,54.2,20.8,201,4300,male,2008
|
310 |
-
Chinstrap,Dream,42.5,16.7,187,3350,female,2008
|
311 |
-
Chinstrap,Dream,51,18.8,203,4100,male,2008
|
312 |
-
Chinstrap,Dream,49.7,18.6,195,3600,male,2008
|
313 |
-
Chinstrap,Dream,47.5,16.8,199,3900,female,2008
|
314 |
-
Chinstrap,Dream,47.6,18.3,195,3850,female,2008
|
315 |
-
Chinstrap,Dream,52,20.7,210,4800,male,2008
|
316 |
-
Chinstrap,Dream,46.9,16.6,192,2700,female,2008
|
317 |
-
Chinstrap,Dream,53.5,19.9,205,4500,male,2008
|
318 |
-
Chinstrap,Dream,49,19.5,210,3950,male,2008
|
319 |
-
Chinstrap,Dream,46.2,17.5,187,3650,female,2008
|
320 |
-
Chinstrap,Dream,50.9,19.1,196,3550,male,2008
|
321 |
-
Chinstrap,Dream,45.5,17,196,3500,female,2008
|
322 |
-
Chinstrap,Dream,50.9,17.9,196,3675,female,2009
|
323 |
-
Chinstrap,Dream,50.8,18.5,201,4450,male,2009
|
324 |
-
Chinstrap,Dream,50.1,17.9,190,3400,female,2009
|
325 |
-
Chinstrap,Dream,49,19.6,212,4300,male,2009
|
326 |
-
Chinstrap,Dream,51.5,18.7,187,3250,male,2009
|
327 |
-
Chinstrap,Dream,49.8,17.3,198,3675,female,2009
|
328 |
-
Chinstrap,Dream,48.1,16.4,199,3325,female,2009
|
329 |
-
Chinstrap,Dream,51.4,19,201,3950,male,2009
|
330 |
-
Chinstrap,Dream,45.7,17.3,193,3600,female,2009
|
331 |
-
Chinstrap,Dream,50.7,19.7,203,4050,male,2009
|
332 |
-
Chinstrap,Dream,42.5,17.3,187,3350,female,2009
|
333 |
-
Chinstrap,Dream,52.2,18.8,197,3450,male,2009
|
334 |
-
Chinstrap,Dream,45.2,16.6,191,3250,female,2009
|
335 |
-
Chinstrap,Dream,49.3,19.9,203,4050,male,2009
|
336 |
-
Chinstrap,Dream,50.2,18.8,202,3800,male,2009
|
337 |
-
Chinstrap,Dream,45.6,19.4,194,3525,female,2009
|
338 |
-
Chinstrap,Dream,51.9,19.5,206,3950,male,2009
|
339 |
-
Chinstrap,Dream,46.8,16.5,189,3650,female,2009
|
340 |
-
Chinstrap,Dream,45.7,17,195,3650,female,2009
|
341 |
-
Chinstrap,Dream,55.8,19.8,207,4000,male,2009
|
342 |
-
Chinstrap,Dream,43.5,18.1,202,3400,female,2009
|
343 |
-
Chinstrap,Dream,49.6,18.2,193,3775,male,2009
|
344 |
-
Chinstrap,Dream,50.8,19,210,4100,male,2009
|
345 |
-
Chinstrap,Dream,50.2,18.7,198,3775,female,2009
|
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|
renv.lock
ADDED
@@ -0,0 +1,2287 @@
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"Hash": "d61238fd44fc63c8adf4565efe8eb682"
|
2036 |
+
},
|
2037 |
+
"sys": {
|
2038 |
+
"Package": "sys",
|
2039 |
+
"Version": "3.4.2",
|
2040 |
+
"Source": "Repository",
|
2041 |
+
"Repository": "CRAN",
|
2042 |
+
"Hash": "3a1be13d68d47a8cd0bfd74739ca1555"
|
2043 |
+
},
|
2044 |
+
"testthat": {
|
2045 |
+
"Package": "testthat",
|
2046 |
+
"Version": "3.2.1",
|
2047 |
+
"Source": "Repository",
|
2048 |
+
"Repository": "CRAN",
|
2049 |
+
"Requirements": [
|
2050 |
+
"R",
|
2051 |
+
"R6",
|
2052 |
+
"brio",
|
2053 |
+
"callr",
|
2054 |
+
"cli",
|
2055 |
+
"desc",
|
2056 |
+
"digest",
|
2057 |
+
"evaluate",
|
2058 |
+
"jsonlite",
|
2059 |
+
"lifecycle",
|
2060 |
+
"magrittr",
|
2061 |
+
"methods",
|
2062 |
+
"pkgload",
|
2063 |
+
"praise",
|
2064 |
+
"processx",
|
2065 |
+
"ps",
|
2066 |
+
"rlang",
|
2067 |
+
"utils",
|
2068 |
+
"waldo",
|
2069 |
+
"withr"
|
2070 |
+
],
|
2071 |
+
"Hash": "4767a686ebe986e6cb01d075b3f09729"
|
2072 |
+
},
|
2073 |
+
"tibble": {
|
2074 |
+
"Package": "tibble",
|
2075 |
+
"Version": "3.2.1",
|
2076 |
+
"Source": "Repository",
|
2077 |
+
"Repository": "CRAN",
|
2078 |
+
"Requirements": [
|
2079 |
+
"R",
|
2080 |
+
"fansi",
|
2081 |
+
"lifecycle",
|
2082 |
+
"magrittr",
|
2083 |
+
"methods",
|
2084 |
+
"pillar",
|
2085 |
+
"pkgconfig",
|
2086 |
+
"rlang",
|
2087 |
+
"utils",
|
2088 |
+
"vctrs"
|
2089 |
+
],
|
2090 |
+
"Hash": "a84e2cc86d07289b3b6f5069df7a004c"
|
2091 |
+
},
|
2092 |
+
"tidyselect": {
|
2093 |
+
"Package": "tidyselect",
|
2094 |
+
"Version": "1.2.1",
|
2095 |
+
"Source": "Repository",
|
2096 |
+
"Repository": "CRAN",
|
2097 |
+
"Requirements": [
|
2098 |
+
"R",
|
2099 |
+
"cli",
|
2100 |
+
"glue",
|
2101 |
+
"lifecycle",
|
2102 |
+
"rlang",
|
2103 |
+
"vctrs",
|
2104 |
+
"withr"
|
2105 |
+
],
|
2106 |
+
"Hash": "829f27b9c4919c16b593794a6344d6c0"
|
2107 |
+
},
|
2108 |
+
"tzdb": {
|
2109 |
+
"Package": "tzdb",
|
2110 |
+
"Version": "0.4.0",
|
2111 |
+
"Source": "Repository",
|
2112 |
+
"Repository": "CRAN",
|
2113 |
+
"Requirements": [
|
2114 |
+
"R",
|
2115 |
+
"cpp11"
|
2116 |
+
],
|
2117 |
+
"Hash": "f561504ec2897f4d46f0c7657e488ae1"
|
2118 |
+
},
|
2119 |
+
"utf8": {
|
2120 |
+
"Package": "utf8",
|
2121 |
+
"Version": "1.2.4",
|
2122 |
+
"Source": "Repository",
|
2123 |
+
"Repository": "CRAN",
|
2124 |
+
"Requirements": [
|
2125 |
+
"R"
|
2126 |
+
],
|
2127 |
+
"Hash": "62b65c52671e6665f803ff02954446e9"
|
2128 |
+
},
|
2129 |
+
"vctrs": {
|
2130 |
+
"Package": "vctrs",
|
2131 |
+
"Version": "0.6.5",
|
2132 |
+
"Source": "Repository",
|
2133 |
+
"Repository": "CRAN",
|
2134 |
+
"Requirements": [
|
2135 |
+
"R",
|
2136 |
+
"cli",
|
2137 |
+
"glue",
|
2138 |
+
"lifecycle",
|
2139 |
+
"rlang"
|
2140 |
+
],
|
2141 |
+
"Hash": "c03fa420630029418f7e6da3667aac4a"
|
2142 |
+
},
|
2143 |
+
"viridisLite": {
|
2144 |
+
"Package": "viridisLite",
|
2145 |
+
"Version": "0.4.2",
|
2146 |
+
"Source": "Repository",
|
2147 |
+
"Repository": "CRAN",
|
2148 |
+
"Requirements": [
|
2149 |
+
"R"
|
2150 |
+
],
|
2151 |
+
"Hash": "c826c7c4241b6fc89ff55aaea3fa7491"
|
2152 |
+
},
|
2153 |
+
"vroom": {
|
2154 |
+
"Package": "vroom",
|
2155 |
+
"Version": "1.6.5",
|
2156 |
+
"Source": "Repository",
|
2157 |
+
"Repository": "CRAN",
|
2158 |
+
"Requirements": [
|
2159 |
+
"R",
|
2160 |
+
"bit64",
|
2161 |
+
"cli",
|
2162 |
+
"cpp11",
|
2163 |
+
"crayon",
|
2164 |
+
"glue",
|
2165 |
+
"hms",
|
2166 |
+
"lifecycle",
|
2167 |
+
"methods",
|
2168 |
+
"progress",
|
2169 |
+
"rlang",
|
2170 |
+
"stats",
|
2171 |
+
"tibble",
|
2172 |
+
"tidyselect",
|
2173 |
+
"tzdb",
|
2174 |
+
"vctrs",
|
2175 |
+
"withr"
|
2176 |
+
],
|
2177 |
+
"Hash": "390f9315bc0025be03012054103d227c"
|
2178 |
+
},
|
2179 |
+
"waiter": {
|
2180 |
+
"Package": "waiter",
|
2181 |
+
"Version": "0.2.5.9000",
|
2182 |
+
"Source": "GitHub",
|
2183 |
+
"RemoteType": "github",
|
2184 |
+
"RemoteHost": "api.github.com",
|
2185 |
+
"RemoteRepo": "waiter",
|
2186 |
+
"RemoteUsername": "JohnCoene",
|
2187 |
+
"RemoteRef": "HEAD",
|
2188 |
+
"RemoteSha": "6e087aa3b19e0bc3075acd85251318cb83197e2c",
|
2189 |
+
"Requirements": [
|
2190 |
+
"htmltools",
|
2191 |
+
"shiny"
|
2192 |
+
],
|
2193 |
+
"Hash": "3f9cdb961d84fa496ae8a6108a6c459d"
|
2194 |
+
},
|
2195 |
+
"waldo": {
|
2196 |
+
"Package": "waldo",
|
2197 |
+
"Version": "0.5.2",
|
2198 |
+
"Source": "Repository",
|
2199 |
+
"Repository": "CRAN",
|
2200 |
+
"Requirements": [
|
2201 |
+
"R",
|
2202 |
+
"cli",
|
2203 |
+
"diffobj",
|
2204 |
+
"fansi",
|
2205 |
+
"glue",
|
2206 |
+
"methods",
|
2207 |
+
"rematch2",
|
2208 |
+
"rlang",
|
2209 |
+
"tibble"
|
2210 |
+
],
|
2211 |
+
"Hash": "c7d3fd6d29ab077cbac8f0e2751449e6"
|
2212 |
+
},
|
2213 |
+
"withr": {
|
2214 |
+
"Package": "withr",
|
2215 |
+
"Version": "3.0.0",
|
2216 |
+
"Source": "Repository",
|
2217 |
+
"Repository": "CRAN",
|
2218 |
+
"Requirements": [
|
2219 |
+
"R",
|
2220 |
+
"grDevices",
|
2221 |
+
"graphics"
|
2222 |
+
],
|
2223 |
+
"Hash": "d31b6c62c10dcf11ec530ca6b0dd5d35"
|
2224 |
+
},
|
2225 |
+
"xfun": {
|
2226 |
+
"Package": "xfun",
|
2227 |
+
"Version": "0.42",
|
2228 |
+
"Source": "Repository",
|
2229 |
+
"Repository": "CRAN",
|
2230 |
+
"Requirements": [
|
2231 |
+
"grDevices",
|
2232 |
+
"stats",
|
2233 |
+
"tools"
|
2234 |
+
],
|
2235 |
+
"Hash": "fd1349170df31f7a10bd98b0189e85af"
|
2236 |
+
},
|
2237 |
+
"xml2": {
|
2238 |
+
"Package": "xml2",
|
2239 |
+
"Version": "1.3.6",
|
2240 |
+
"Source": "Repository",
|
2241 |
+
"Repository": "CRAN",
|
2242 |
+
"Requirements": [
|
2243 |
+
"R",
|
2244 |
+
"cli",
|
2245 |
+
"methods",
|
2246 |
+
"rlang"
|
2247 |
+
],
|
2248 |
+
"Hash": "1d0336142f4cd25d8d23cd3ba7a8fb61"
|
2249 |
+
},
|
2250 |
+
"xmlparsedata": {
|
2251 |
+
"Package": "xmlparsedata",
|
2252 |
+
"Version": "1.0.5",
|
2253 |
+
"Source": "Repository",
|
2254 |
+
"Repository": "CRAN",
|
2255 |
+
"Requirements": [
|
2256 |
+
"R"
|
2257 |
+
],
|
2258 |
+
"Hash": "45e4bf3c46476896e821fc0a408fb4fc"
|
2259 |
+
},
|
2260 |
+
"xtable": {
|
2261 |
+
"Package": "xtable",
|
2262 |
+
"Version": "1.8-4",
|
2263 |
+
"Source": "Repository",
|
2264 |
+
"Repository": "CRAN",
|
2265 |
+
"Requirements": [
|
2266 |
+
"R",
|
2267 |
+
"stats",
|
2268 |
+
"utils"
|
2269 |
+
],
|
2270 |
+
"Hash": "b8acdf8af494d9ec19ccb2481a9b11c2"
|
2271 |
+
},
|
2272 |
+
"yaml": {
|
2273 |
+
"Package": "yaml",
|
2274 |
+
"Version": "2.3.8",
|
2275 |
+
"Source": "Repository",
|
2276 |
+
"Repository": "CRAN",
|
2277 |
+
"Hash": "29240487a071f535f5e5d5a323b7afbd"
|
2278 |
+
},
|
2279 |
+
"zip": {
|
2280 |
+
"Package": "zip",
|
2281 |
+
"Version": "2.3.1",
|
2282 |
+
"Source": "Repository",
|
2283 |
+
"Repository": "CRAN",
|
2284 |
+
"Hash": "fcc4bd8e6da2d2011eb64a5e5cc685ab"
|
2285 |
+
}
|
2286 |
+
}
|
2287 |
+
}
|
rhino.yml
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
sass: node
|