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 visualization displays stacked horizontal bars representing 2018 project funding items by sub-category, segmented by institution nature (Consumer, Corporate, Home Office). The chart uses D3.js v3 with `d3.layout.stack` for stacking, `d3.svg.axis` for axes, and `d3.legend` for the color legend. Hovering over legend entries highlights corresponding segments via foreground layers, while a `d3.tip` tooltip shows exact item counts. Data is loaded from an external CSV file, rendered as animated SVG with custom tick formatting.

97% 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

96% match

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

This visualization shows 2018 general project funding items stacked by institution nature, using a horizontal stacked bar chart where each bar represents a sub-category and segments show consumer, corporate, and home office splits. The code uses d3.layout.stack for layering, d3.svg.axis for scales, d3.legend for color coding, and d3-tip for hover tooltips. Hovering over legend entries fades base bars and re-renders matching segments in the foreground. Data comes from items1(3).csv, with SVG rendering and animated transitions on hover.

Pprincita

96% match

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

This visualization displays stacked bar chart data of general project funding items in 2018, broken down by institutional nature. It uses D3.js APIs including `d3.layout.stack`, `d3.scale.ordinal`, and `d3.svg.axis`. The chart colors segments by category, with an interactive legend that filters foreground bars on hover. Tooltips appear via `d3-tip`, showing item counts per segment and sub-category. Data comes from a CSV file with sales figures, rendered as animated SVG.

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

This interactive stacked bar chart visualizes 2018 general project funding items by institution nature, breaking down sales data across sub-categories and customer segments. Built with D3.js, it uses `d3.nest()`, `d3.layout.stack()`, and ordinal/linear scales to render grouped layers. Hovering over the color legend highlights specific segments, while `d3-tip` displays detailed tooltips with item counts. The SVG animation supports fade effects between base and foreground bar layers for comparative analysis.

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, segmented by the nature of institutions and broken down by sub-category. It uses D3.js (version 3.5.5) with the `d3.layout.stack` API to create the stacked layers, `d3.svg.axis` for axes, and `d3.legend.color` for the interactive legend. Hovering over the legend highlights a specific segment while fading the others, and a tooltip from `d3-tip` displays the exact sales value for each item. The chart is rendered as an SVG with a smooth animation.

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

This example uses an animated stacked bar chart to illustrate the distribution of project funding items across different institution types in 2018. The chart displays grouped data by segment and sub-category, with interactive hover effects that highlight specific categories and tooltips revealing exact sales figures. The visualization is built with D3.js, utilizing `d3.layout.stack` for the stacked bar layout, `d3.svg.axis` for axes, and `d3.legend.color` for the interactive legend that filters which sub-category bars are prominently shown. The data is sourced from a CSV file containing sales records sorted by segment and sub-category.