Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

This interactive stacked bar chart visualizes sales by segment and subcategory, with each bar stacked to represent the total sales per segment. Hovering over a legend item highlights the corresponding subcategory across all segments, while a tooltip shows the exact sales value. The visualization uses D3.js (v3) with the `d3.layout.stack` API for stacking, `d3.legend` for the color legend, and `d3-tip` for tooltips. Data comes from a CSV file, and the chart includes animated transitions when re-sorting the data.

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

This stacked bar chart visualizes the distribution of sales amounts for various product subcategories, segmented by consumer, corporate, and home office institutions. The chart displays total sales per subcategory as stacked segments, with each color representing a different segment. Hovering over a segment reveals its specific sales value. The visualization is built with D3.js, using the `d3.layout.stack` for the stacked layout and `d3.legend.color` for the interactive color legend.

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

A stacked bar chart breaks down 2018 sales for Consumer, Corporate, and Home Office segments, with each bar segmented by product sub-category and tooltips revealing exact item counts. The visualization uses D3.js libraries including `d3.layout.stack` for the stacked layout, `d3.svg.axis` for axes, and `d3.legend.color` for the interactive legend that highlights sub-category layers on hover. Animation is achieved through D3's SVG rendering, and the data comes from the provided CSV file.

JJens Grochtdreis

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

This stacked bar chart visualizes the sales distribution of office supply subcategories across three market segments (Consumer, Corporate, Home Office). The D3.js visualization uses `d3.layout.stack()` to layer bars by subcategory within each segment, with hover interactions powered by `d3-tip` for tooltips. A color legend highlights individual subcategories on hover, while the axis formatting uses custom SI tick labels. The animated rendering and data aggregation from the CSV files demonstrate hierarchical grouping and stacked layout techniques in D3.

AAlex Ley

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

This interactive stacked bar chart visualizes sales by sub-category and customer segment, using animated transitions and hover effects to highlight individual segments. Built with D3.js, it employs `d3.layout.stack` for stacking, `d3.svg.axis` for scales, and `d3-tip` for tooltips showing sales values. A color legend allows users to filter and emphasize specific segments, while the base bars fade to provide focus. The visualization reads from static CSV data and renders in SVG.

93% match

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

This interactive stacked bar chart visualizes general project funding items for 2018, broken down by institutional segment (Consumer, Corporate, Home Office) and sub-category, using D3.js. The bars show cumulative sales values with a color legend; hovering over legend entries highlights a specific sub-category by fading other bars. The visualization uses d3.layout.stack and d3.scale.ordinal, with tooltips via d3-tip, and is forked from Curran Kelleher's example with data sorted and grouped from a CSV.

Eest85

93% match

Tab.1(3)- Items of general project funding in 2018 (by nature of institutions)

This example shows a normalized stacked bar chart comparing sales totals across customer segments, with each bar subdivided by product subcategory. Hovering over a legend entry highlights the corresponding subcategory’s bars in the foreground while dimming the rest. The visualization is built with D3.js (v3), using `d3.layout.stack` for stacking, `d3.svg.axis` for scales, and the `d3-legend` and `d3-tip` plugins for color legends and tooltips. Data comes from CSV files, and the SVG output includes animated transitions between different data groupings.