Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published0🌍 Public
JJoshua Higginbotham
Last edited Mar 6, 2022
Created on Mar 6, 2022
Forked from Untitled

This example demonstrates a stacked bar chart with diverging offsets, visualizing categorical data across ordinal x-values. The chart uses D3.js v7 to create an SVG rendering, with a Tableau10 color scheme distinguishing categories. The implementation employs D3's `stack` API with `stackOffsetDiverging` and `stackOrderNone`, mapping data through `d3.map` and `d3.rollup` to structure series. The interface includes a y-axis with gridlines and a monospace font, while interaction shows tooltips displaying x-value, category, and formatted y-value.

AI-generated description

A demonstration of visualization techniques on simple datasets using D3.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This example demonstrates a stacked bar chart built with D3.js, loading the library from UNPKG. The chart uses `d3.stack`, `d3.scaleBand`, and `d3.scaleOrdinal` to arrange categories. The rendering shows how to structure a D3 visualization project with local ES6 modules, including a separate file for a simple message. The displayed chart uses divergent stacking, color-coded series, and axis gridlines, while the HTML page also includes a separate message text.

JJoshua Higginbotham
86% match
Loading thumbnail…

Untitled

This example demonstrates a stacked bar chart built with D3 v4, displaying categorical data grouped on the x-axis with subgroups stacked by color. It loads data from a remote CSV file using `d3.csv`, then uses `d3.scaleBand`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` to construct the axes. The chart applies `d3.stack` to compute cumulative bar segments, assigns colors via `d3.scaleOrdinal`, and renders the result as SVG rectangles with bar widths from `x.bandwidth()`.

BBaptisteJarry
86% match
Loading thumbnail…

Untitled

This example shows a stacked bar chart comparing values across three groups, with each bar subdivided into three colored segments representing different subgroups. The chart reads data from a CSV file hosted on GitHub, parsing it with `d3.csv` and mapping groups to the x-axis and numeric values to the y-axis. It uses `d3.scaleBand` for both group and subgroup positioning, `d3.scaleOrdinal` for the categorical color palette, and `d3.axisBottom` and `d3.axisLeft` to render the axes. The SVG output is built via D3's selection and append methods, with each group translated into position and rectangles drawn per subgroup.

Vvveewwee
82% match
Loading thumbnail…

Untitled

This example shows a stacked bar chart where each bar represents a group, and the bar is divided into colored segments corresponding to subgroups. The chart loads CSV data from a GitHub URL using `d3.csv`, and defines the subgroups from the data's column headers. It uses `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.scaleOrdinal` for the color palette. The bars are created by stacking the data with `d3.stack` and rendering each segment as an SVG `rect` within a `g` element.

Ttayyabanisar
82% match
Loading thumbnail…

Untitled

This example shows a stacked bar chart where each bar represents a group, and the bar is divided into colored segments corresponding to subgroups. The chart loads CSV data from a GitHub URL using `d3.csv`, and defines the subgroups from the data's column headers. It uses `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.scaleOrdinal` for the color palette. The bars are created by stacking the data with `d3.stack` and rendering each segment as an SVG `rect` within a `g` element.

Ttayyabanisar
82% match
Loading thumbnail…

Untitled

A bar chart displays categorical data with drop-shadowed rectangles, using D3 v2 to map values to an ordinal x-scale and linear y-scale. The visualization animates via SVG transitions, with tick labels formatted from a caption mapping. It relies on jQuery for container sizing and D3’s `d3.svg.axis` for axes, rendering inside an HTML div with a filter-defined shadow effect.

NNHRK555
81% match
Loading thumbnail…

Untitled

This example presents a bar chart that visualizes a dataset by mapping values to the height of vertical bars. The rendering uses the D3.js library, specifically leveraging its `d3.scale` for mapping data to screen coordinates and `d3.selectAll` to bind the data to rectangular SVG elements. The chart’s bars are drawn with SVG `rect` elements, with their dimensions and positions calculated through D3’s linear scaling functions. The visualization greets viewers with a static, aggregated view of the underlying data, without interactive or animated features.

YY-oringe
81% 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
80% match