Example

D3 Example

A stacked bar chart shows Sales across Product Sub-Categories, with bars segmented by Customer Segment, using a categorical color scale. The visualization renders as SVG via D3 v3’s `d3.layout.stack`, `d3.scale.ordinal`, and `d3.svg.axis`, with a legend from d3-legend. Data is loaded from a CSV file containing order details, while axes use a custom SI tick formatter that converts billions to "B".

Pprincit

85% match

Visualization 1 (Stacked Bars)

A stacked bar chart compares sales across customer segments and product sub-categories, using color to distinguish sub-categories within each segment. The visualization is rendered with D3.js (version 3.5.5) and uses d3.layout.stack to create the stacked layers, while d3.legend provides the interactive color legend. Hovering over a legend entry highlights that sub-category’s bars and fades the rest, and d3-tip displays exact sales values on hover. The chart animates and reads from a CSV containing individual sales records.

84% match

Visualization 1 (Stacked Bars)

This stacked bar chart compares sales across product sub-categories, segmented by customer segment (Consumer, Corporate, Home Office). It displays aggregated sales totals for each sub-category, with each segment represented by a differently colored stack. The visualization uses D3.js version 3 with `d3.layout.stack` to create the stacked layers, `d3.scale.ordinal` and `d3.scale.linear` for axes, and `d3.legend` for a color legend. Animated hover effects and tooltips via `d3-tip` highlight individual segment contributions. Data comes from a CSV file, rendered as an SVG with rotated x-axis labels.

SSarahKiyani

84% match

Visualization 1 (Stacked Bars)

This stacked bar chart compares sales across product sub-categories, broken down by customer segment (Consumer, Corporate, Home Office). The visualization uses D3.js to render an SVG with animated transitions, where hovering over a color legend highlights a specific segment's bars. It employs `d3.layout.stack`, `d3.scale.ordinal`, and `d3.legend.color` to structure and annotate the data, which is loaded from CSV files containing sales figures. Tooltips via `d3-tip` display exact values on interaction.

84% match

Visualization 1 (Stacked Bars)

A stacked bar chart compares total sales across product sub-categories, segmented by customer segment (Consumer, Corporate, Home Office). The chart uses D3.js with the `d3.nest`, `d3.layout.stack`, and `d3.legend.color` APIs to compute the stacked layout and render an interactive legend. Data is loaded from a CSV file (`data(sorted & grouped).csv`). Hover tooltips and a semi-transparent overlay highlight individual segments.

SSarahKiyani

Testing Stacked bar

This stacked bar chart visualizes sales values across product categories (accessories, art) segmented by consumer, corporate, and homeoffice sales. A legend highlights specific segments, and hovering over legend items or bars displays a tooltip with exact values via d3-tip. Rendered as SVG with D3’s stack layout, the chart uses ordinal and linear scales for axes, with an animated foreground overlay that dims non-hovered segments. The data comes from an embedded CSV, and the code relies on d3.legend for interactive color filtering.

Aaruba-haroon

Visualization 1 (Stacked Bars)

A stacked bar chart compares total sales by product sub-category across three customer segments (Consumer, Corporate, and Home Office). Mouse hover on a legend item highlights that sub-category’s segment breakdown while dimming the others, with tooltips detailing exact sales values. The visualization uses D3.js (v3.5.5) with the `d3.layout.stack` API, SVG rendering, and the `d3.legend` and `d3.tip` libraries, drawing sales data from a CSV file.

Visualization 1 (Stacked Bars)