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d3.js learning

This stacked bar chart visualizes two sample data rows from a CSV-like structure, transposed into layers for RowID, OrderID, OrderDate, ShipDate, and ShipMode. Built with d3.v3 and rendered as SVG, it uses the d3.layout.stack() algorithm to compose the bars, d3.scale.ordinal() and d3.scale.linear() for axes, and d3.svg.axis() for ticks. Interactive tooltips appear on mouseover via d3.mouse(), while a legend maps colors to each field.

SSarahKiyani

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A simple bar chart displays two annual values from a CSV file, mapping dates on the x-axis and values on the y-axis. The chart uses D3 version 3 (loaded via CDN) with `d3.scale.ordinal`, `d3.svg.axis`, and `d3.time.format` for date parsing. Bars are rendered as SVG rectangles with steelblue fill. The axes include rotated date labels and a rotated y-axis title. The code demonstrates basic D3 data binding, scale setup, and SVG element creation within a fixed margin layout.

SSimon Hackbert

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A bar chart demonstrates D3.js SVG rendering with a drop-shadow filter and animated axes. The code builds an ordinal x-scale and linear y-scale from sales data, appending SVG groups with rectangles and axis labels. Mouse-driven transitions adjust the chart's visual state, while jQuery handles container sizing. The example imports D3 locally via `d3.v2` and uses standard SVG elements for the visualization.

SShishiraRudrabhatla

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A bar chart displays sales figures for individual salespeople, with each bar’s height proportional to the numeric value in the `sales.csv` dataset. The visualization uses D3 v4’s `scaleBand` for the categorical x-axis, `scaleLinear` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for tick marks. Bars are rendered as SVG rectangles, colored steelblue via a CSS class, within a React-compatible HTML page.

LL1EO

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A bar chart displays categorical data with drop-shadowed rectangles, using D3 v2 to map values to an ordinal x-scale and linear y-scale. The visualization animates via SVG transitions, with tick labels formatted from a caption mapping. It relies on jQuery for container sizing and D3’s `d3.svg.axis` for axes, rendering inside an HTML div with a filter-defined shadow effect.

NNHRK555

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This example shows a bar chart of monthly values over time, with each bar representing a data point from a CSV file. The chart displays dates on the x-axis and dollar values on the y-axis, using rotated tick labels for readability. It employs D3.js version 3.5.17, specifically `d3.scale.ordinal`, `d3.scale.linear`, `d3.svg.axis`, and `d3.csv` to load and render the data as SVG rectangles. The bars are styled in steelblue and the axes include custom margins and formatting.

NNeepaB

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This example presents a bar chart visualization rendered with D3.js, displaying monthly values and targets from the `bar-data.csv` dataset. The chart uses an SVG-based approach with a margin-defined plot area, an x-axis for dates, and a y-axis for numeric values, styled with sans-serif fonts and hidden domain lines. The code initializes the D3 library and loads the CSV data using the `d3.csv` method, though the actual bar-rendering logic is not implemented in the provided snippet. The visualization is built as a static HTML page with embedded CSS and JavaScript.

Aajitkumarjha85

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This example displays an interactive 3D bar chart built with D3.js v2 and jQuery. It renders an SVG-based visualization where bars are grouped by categorical x-axis values, with drop shadows applied via SVG filters to create a 3D effect. The chart uses ordinal and linear scales to map data, and includes custom axis tick formatting for captions. The code initializes on document ready, transforming input data and building the chart within a scrollable container.

Sskambhore04