Stacked Bars

Stacked Bars

Stacked bar chart displays sales totals per product sub-category, segmented by customer segment. The visualization uses D3.js with SVG and animated transitions. Data comes from a CSV file containing order records. Hovering over the color legend highlights a specific segment by dimming other layers with a semi-transparent overlay. Tooltips, powered by d3-tip, show exact values for each bar segment. Axis formatting and legend rendering use D3's SVG axis and d3-legend APIs.

96% match

Stacked Bars

This stacked bar chart displays sales totals by product sub-category, with each bar segmented by customer segment. The visualization uses Vega-Lite API with D3.js to load CSV data, aggregate sales values, and render SVG output. Categories are sorted by descending sales, while color encoding differentiates Consumer, Corporate, and Home Office segments. Tooltips provide additional sales details on interaction, and axis labels are customized through the Vega-Lite config object.

93% 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.

Ssafdarawan

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

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".

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.

Ssafdarawan

Visualization 1 (Stacked Bars)

Ssafdarawan

Visualization 1 (Stacked Bars)

This stacked bar chart visualizes sales comparisons across different market segments (Consumer, Corporate, Home Office) for various product sub-categories. The visualization uses an interactive SVG rendering with a color legend that allows users to highlight specific segments. Built with D3.js, the chart employs the `d3.layout.stack` API to create stacked bars, with tooltips via `d3-tip` to display precise sales values. The data is sourced from a categorized CSV file showing sales totals, and the chart animates when rendering layers.