Untitled

100%

✓ Published0🌍 Public

Last edited Feb 17, 2023

Created on Feb 17, 2023

A reactive bubble chart visualizes January Medium articles, encoding each post's category by color and its view count by circle radius. Hovering a bubble reveals a tooltip with the article title, category, and number of hearts. The chart relies on `d3.forceSimulation` for layout, `d3.scaleOrdinal` with `schemeCategory10` for colors, and a `d3.scaleLinear` for radius. Data loads from a CSV file via `d3.csv`, and the reusable chart pattern exposes setters for width, height, and column mappings.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

The visualization is a bubble chart that maps Medium articles by their category and popularity. Each article is represented as a circle, with its size corresponding to the number of views and its color indicating the category (Design, Development, or Data Science). The chart uses D3 version 4.6, leveraging `d3.forceSimulation` with `d3.forceManyBody`, `d3.forceX`, and `d3.forceY` to position the circles, and `d3.scaleOrdinal` with `d3.schemeCategory10` for coloring. Hovering over a circle reveals a tooltip with the article title, category, and view count. The data is loaded from a CSV file, and the circles are rendered as SVG elements.

Rrjthompson22

91% match

Loading thumbnail…

Untitled

Interactive bubble charts use force simulation to show relative values across categories. Circles sized by a linear scale and colored by an ordinal scale are initially centered, then repel and collide until settling into a packed layout. Dragging nodes repositions them with the simulation restarting, while hovering reveals a tooltip with the exact value. The visualization loads CSV data from a GitHub gist, renders with SVG in React, and relies on d3.forceSimulation, forceCenter, forceManyBody, and forceCollide to animate the layout.

SSitanshu Rupani

84% match

Loading thumbnail…

Untitled

A force-directed bubble chart visualizes a small dataset of 12 items, each with categorical attributes. The visualization initially displays all nodes as colored circles that can be dragged and selected. Buttons allow users to split the bubbles into separate clusters by Location, Group, Class, or Type, with titles indicating the active categories. Using D3 v4, the chart employs `d3.forceSimulation` with `d3.forceCollide`, `d3.forceManyBody`, `d3.forceX`, and `d3.forceY` to position the nodes. The SVG circles and text labels are rendered from a CSV file. Users can interactively drag and select individual bubbles to highlight them.

JJoker-tr

80% match

Loading thumbnail…

fresh block

A bubble chart displays Medium articles grouped by category, with circle size encoding article views and color distinguishing Design, Development, and Data Science. The visualization uses D3’s `d3.forceSimulation` to position overlapping bubbles and `d3.scaleOrdinal` for categorical coloring. Hovering reveals a tooltip with the article’s title, category, and view count, based on data loaded from a CSV via `d3.csv`.

335degrees

80% match

Loading thumbnail…

Untitled

This interactive stacked area chart displays the changing values of multiple categories over time, using the D3.js library (version 2) with SVG rendering and animations. The chart employs a silhouette offset layout to visualize data from a CSV file, with color-coded layers representing different groups. Hovering over a layer highlights it and shows a tooltip with the category name and its specific value, while mouse movement on the chart also triggers a vertical guideline.

LLAOKE1997

80% match

Loading thumbnail…

Untitled

This visualization shows a force-directed bubble chart where each circle represents a country, with its size corresponding to GDP data loaded from a CSV file. The bubbles are color-coded by team and cluster toward the center of the screen. The code uses d3.forceSimulation with forceX, forceY, forceCenter, forceManyBody, and forceCollide to position the nodes, while d3.drag enables interactive dragging of individual circles. The SVG rendering fills each node with a color from a d3.scaleOrdinal palette, and the simulation updates circle positions on each tick.

SSitanshu Rupani

78% match

Loading thumbnail…

Untitled

A bar chart displays monthly values from a CSV file, with dates from 2013-01 to 2014-02 on the x-axis and dollar amounts on the y-axis. D3's d3.csv loads the data, d3.time.format parses the dates, and d3.scale.ordinal with rangeRoundBands positions each bar. The x-axis labels are rotated with SVG transforms, while steelblue rectangles encode the values. React and D3 are used in separate index.js and index.html files, though the visible rendering is entirely SVG-based.

SsampayoSomosierra

78% match

Loading thumbnail…

Untitled

This example presents an interactive bar chart visualization built with D3 v2 and React, rendering as an SVG with animated transitions. It displays categorical data along the x-axis with corresponding numeric values on the y-axis, using a drop-shadow filter effect on the bars. The chart dynamically rescales its ordinal and linear scales based on the input data, with axis tick labels drawn from a caption mapping. The code leverages jQuery for DOM manipulation, D3’s `d3.scale.ordinal`, `d3.scale.linear`, and `d3.svg.axis` APIs, and applies a custom SVG filter for visual styling.

Ssitaramchallapalli

77% match