Scrollama

scrollytest1

This interactive scrollytelling visualization demonstrates the interplay between scrolling and data-driven graphics, built with D3 v4 and the graph-scroll library. The page uses a fixed-position chart that updates as the user scrolls through sections, with transitions between states driven by scroll position. The visualization leverages d3-dsv to parse tabular data, rendering it as an SVG/WebGL animation. As the user scrolls, the active section triggers changes in the displayed chart, creating a narrative flow. The design uses a clean, minimal aesthetic with the chart fixed on screen while text scrolls, and it supports both fixed and below-fold layouts for responsive storytelling.

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scrollytest2

scrollytest2 is a scrollytelling-driven data visualization that uses D3 v4 to animate SVG and WebGL graphics in response to page scrolling. The page embeds the graph-scroll.js library to tie scroll position to visualization state, creating an interactive, narrative flow. It is built with D3's dsv module for data loading and uses the jetpack helper for concise DOM manipulation. The visualization, authored by 35degrees and forked from an earlier scrollytest block, is rendered with a combination of SVG and WebGL to support smooth transitions and animated elements as the user scrolls.

A2Q3

This interactive scatterplot visualizes COVID-19 metrics across countries by continent, plotting selectable attributes from the Covid World May Data CSV on x- and y-axes. Users can compare new cases, total cases, and death counts, with points colored by continent via a legend. Built with React and D3 v5, it uses `scaleLinear`, `scaleOrdinal`, and `extent` for scaling, while SVG circles render the data and dropdown menus control axis selection.

MmNamratha25

COVID-19

This D3.js visualization shows the progression of COVID-19 cases, deaths, and recoveries over time for a selected country. Users choose a status metric and country via dropdown menus, and the chart displays a smooth line chart of that metric against observation dates. The code uses D3 v5 methods like `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line` with `curveBasis` to render the SVG. Data is loaded from a CSV file and aggregated by country and day using `nest` and a custom `groupByDay` function.

WW9183907

scrollytest3

This example demonstrates a scrolling narrative visualization built with D3.js, where user scroll progress drives animated transitions in an SVG/WebGL-rendered scene. The chart uses the `graph-scroll` library to bind scroll events to step-wise updates, likely revealing or transitioning between data states as the reader moves through the page. The visualization is generated from a Blockbuilder.org template and is part of a series of scrolling prototypes (scrollytest1/2), indicating iterative exploration of scroll-driven storytelling. Rendered with SVG and WebGL, it combines D3 v4 with jetpack utilities for concise coding. The MIT-licensed example shows how scrolling can act as an interactive narrative mechanism to sequence changes in the visualization.

scrollytest3

This scrolling visualization demonstrates a step-through narrative experience where sections of text are fixed to the left while a graph animates on the right, guided by the user's scroll position. Built with D3 v4 and the d3-dsv module for data parsing, it uses the graph-scroll library to trigger animated transitions between steps as the reader scrolls. The SVG rendering includes smooth, state-driven updates, likely showing a dataset that changes or highlights different aspects with each section. The design focuses on storytelling with data, letting the scroll control the flow of the visualization.

scrollytest6

This example, titled "scrollytest6," is an animated, scroll-driven data visualization that combines SVG and WebGL rendering within the D3.js framework. The visualization demonstrates a technique for synchronizing narrative content with user scrolling, likely transitioning between different chart states or datasets as the user progresses through the page. The visualization uses D3's data parsing capabilities (d3-dsv) and custom scroll-handling logic to create a dynamic, story-telling experience. The rendering is hybrid: SVG is used for crisp, interactive elements while WebGL handles performance-intensive graphics, with animations smoothly tying the scroll steps together. The example is part of a series of scroll-based experiments by the author 35degrees, building upon earlier iterations (scrollytest1-5) to refine the technique. The visualization is built with D3 and licensed under MIT.

Fork of A7_Multi-line Chart

This fork of a multi-line chart visualizes COVID-19 case counts over time, showing a green line with circular points for each date. It uses D3 v7 with an SVG rendering, employing `d3.scaleBand` for the date axis and `d3.scaleLinear` for the case count axis, plus `d3.line` and `d3.axisBottom`/`d3.axisLeft` to generate the chart. Data is loaded from a remote CSV file containing date and case columns, with the line chart displaying a clear trend of rising cases across the period.

MM Hema