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This scatter plot visualizes library books by pages and borrow count, with point size encoding rating and color encoding genre. The visualization is built using D3 v7, employing the reusable scatter-plot factory pattern similar to Bostock's approach. It uses `d3.scaleLinear` for axes, `d3.scaleSqrt` for sizing, `d3.scaleOrdinal` with `d3.schemeTableau10` for colors, and `d3.axisBottom`/`d3.axisLeft` for ticks. Tooltips display title, pages, borrows, rating, and genre, while a legend maps genre colors. Data comes from `Library_book.csv`, loaded via a Gist URL.

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SSri Sruthi Khyathi Boggaram

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This interactive scatterplot visualizes hours played versus rating for video games, with each point representing a game and color-coded by genre. A summary panel displays dataset statistics, while five version buttons allow switching between different mark and channel configurations. The visualization uses D3 v7 with SVG rendering, loading CSV data from a gist, and implements linear scales, axes, and interactive UI controls to explore the data.

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Fork of Reusable Scatter Plot

This interactive scatter plot visualizes library book data, showing relationships between numeric attributes like borrow count, rating, pages, and year, with points colored by genre. Users can dynamically switch the X and Y axes via dropdown menus and adjust point radius with a slider control. The visualization is built using a reusable D3.js module with a closure-based API for configuring scales, axes, and accessors. It employs D3's `d3.csvParse` for data loading, `d3.scaleLinear` for axes, `d3.scaleOrdinal` with `schemeTableau10` for color encoding, and SVG rendering with hover tooltips.

78% match

Fork of Reusable Scatter Plot

A reusable scatter plot displays library book data from a CSV file, plotting pages on the x-axis against borrow count on the y-axis, with circle size encoding rating and color encoding genre. The chart is built using a Bostock-style factory function that employs D3 v7 APIs including `d3.scaleLinear`, `d3.scaleSqrt`, `d3.scaleOrdinal`, `d3.axisBottom`, `d3.axisLeft`, and `d3.symbol`. A tooltip appears on mouseenter, showing the book title and all encoded values. SVG rendering includes an interactive legend for the genre categories.

77% match

SCATTER PLOT

This scatter plot visualizes the relationship between a book's borrow count and its rating, with each point colored by genre. It displays the distribution of library books across these two quantitative variables. The visualization is built with D3 v7, using `d3.csv` to load data from a remote gist, `scaleLinear` for both axes, and `scaleOrdinal` with the Tableau10 scheme for genre colors. Points are rendered as SVG circles with tooltips, and a separate HTML legend is constructed by iterating over the unique genres.

Fork of Interactive Book Dataset

This visualization presents a dual-chart view of a GoodReads book dataset. The left panel is a scatterplot of average rating versus page count, with each book as a point. The right panel is a horizontal bar chart displaying the top 10 most popular publishers, with bars sorted by the number of books published and positioned along the average rating axis. Hovering over any data point or bar highlights all books sharing that publisher’s identity across both charts, while a dropdown menu adjusts circle opacity. The implementation uses D3.js v6, including scales for linear and band layouts, SVG circle and rect elements, and mouse event listeners.

FFremont

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This visualization displays Amazon Top 50 Bestselling Books data from 2009 to 2019, showing average user ratings and book prices as bar charts that can be filtered by year using buttons. A scatterplot maps book reviews, user ratings, and prices, with tooltips revealing book titles and authors on hover. The D3.js v6 code uses `d3.scaleBand`, `d3.scaleLinear`, `d3.axisLeft`, and `d3.axisBottom` for the bar charts, while circles are positioned with `d3.scaleLog` for reviews and styled with `d3.scaleLinear` color scales. Data loads from CSV files hosted on GitHub, and interactions include animated tooltips styled with CSS.

Mmz4987

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This visualization presents two linked charts from a GoodReads dataset: a scatterplot of book ratings counts against average ratings, and a horizontal bar chart of the top 10 publishers by average rating. Hovering over a dot or bar highlights all books from that publisher across both views. A dropdown menu adjusts the opacity of the scatterplot points. The piece is built with React and D3.js (v6), using SVG elements and transitions, with data parsed via `d3.csv`.

FFremont