Sales Comparision by Segment per sub-category

Sales comparision by segment per sub category

This stacked bar chart compares sales by customer segment within each product sub-category. Hovering over a segment highlights that specific layer across all sub-categories while dimming the others, and tooltips reveal the exact sales value per segment and sub-category. The visualization uses D3.js version 3.5 with `d3.layout.stack` for stacking, `d3.svg.axis` for scales, and `d3-tip` for tooltips, with SVG rendering and CSS transitions for the hover effects. Sales data comes from the provided CSV file.

92% match

sales comparision by segment

A horizontal bar chart compares sales across product sub-categories for three customer segments. The visualization uses D3.js v5 to load data from a CSV file and render SVG rectangles, with each segment represented as a separate category. Sales values scale linearly on the x-axis, while sub-categories are positioned on a band scale for the y-axis. The chart includes axes generated with `d3.axisLeft` and `d3.axisBottom`, and the code filters and aggregates the data by segment and sub-category.

90% match

Sales comparision by segment per sub-category

This example visualizes the total sales case numbers for four segments—Consumer, Corporate, Home Office, and Unknown—stacked by sub-category, with each segment’s contribution represented as a colored bar section. The chart initially displays absolute counts, and a toggle above the visualization switches the view to a percentage-based, normalized comparison. The visualization is built with D3.js v3 and Vue, using the `d3.svg.axis`, `d3.scale.linear`, and `d3.layout.stack` APIs to compute and render the stacked bars. The data is loaded from a CSV file containing the sales records.

Pprincit

89% 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

88% match

sales comparision by segment

A bar chart displays sales figures for each product subcategory, with bars colored steelblue. The visualization uses the D3.js library to load data from a CSV file and scale the x-axis linearly while the y-axis uses a band scale for categorical subcategories. The chart includes axes generated with D3's axis functions, and the SVG rendering shows the total sales distribution across the different product types.

sales comparision by segment

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.

Ssafdarawan

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