d3.js learning

Nneetusingla12(Neetu Singla)

d3.js learning

This stacked bar chart visualizes changes in fruit consumption over time, with each bar segment representing a fruit type and its height corresponding to the value. The visualization uses d3.layout.stack to layer the data, d3.time.scale for the ordinal x-axis, and d3.svg.axis for labeled axes. Hovering over a segment displays a tooltip with the exact value via mouseover and mousemove events. A legend identifies the four fruit categories. The chart is built with SVG, using d3.v3, and applies Bostock's margin convention for layout.

78% match

d3.js learning

A stacked bar chart shows the changing counts of four fruit varieties (Red Delicious apples, McIntosh apples, oranges, and pears) across the years 2006–2016. The d3.v3 code builds the visualization from inline JavaScript data using `d3.layout.stack` for layered series, `d3.scale.ordinal` for the time-based x-axis, and `d3.svg.axis` for axes with custom tick formatting. Hovering reveals a value tooltip, and a legend identifies each color-coded segment. The SVG rendering is achieved through appended `<rect>` elements.

Ssafdarawan

78% match

Stacked_Bar_chart

This example presents a stacked bar chart of randomly generated product sales data across six months. The chart visualizes sales for ten product categories, with each bar segmented by month using a categorical color scheme. Built with D3.js v7, the code generates data on the fly and renders the visualization as an SVG. The implementation uses `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.schemeCategory10` for color assignment, along with D3's axis helpers for labeling.

Ppardha1411

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".

Stacked Bars

This chart uses stacked bars to show how total sales are divided among customer segments for each product sub-category. The visualization allows users to hover over legend entries, which highlights the corresponding segment’s bars while dimming the rest. The implementation uses d3.svg.axis, d3.nest, and d3.layout.stack to aggregate and stack the data from the CSV file, with bar rendering using SVG rectangles. A d3-tip tooltip displays detailed values on hover. The color legend, built with d3.legend.color, drives the interactive filtering.

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.

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.

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