Chandrakant Bharatkumar Thakkar

Chandrakant Bharatkumar Thakkar

A self-updating scatterplot-style chart plots five monotone-smoothed line series of random values against six categorical month labels on shared axes, with twenty randomly placed circles scattered across the same coordinate space. Every second, the animation regenerates all random y-values for every line and repositions every circle, using jQuery to trigger the updates and D3’s transition system to animate the changes smoothly. The SVG rendering uses D3’s scalePoint, scaleLinear, axisBottom, and axisLeft for the axes.

90% match

Chandrakant Bharatkumar Thakkar

The visualization demonstrates various D3.js v4 axis tick formats by displaying multiple horizontal axes stacked vertically within a single SVG chart. It shows numeric and date-based data using different formatting methods, including simple numbers, floating-point precision, SI units, and custom date formats. The chart builds several `d3.axisBottom` axes at incremental vertical positions, applying tick formats via `d3.format` and `d3.timeFormat`. Data is hardcoded in the script, with numeric values ranging from 1 to 10 and dates parsed using `d3.timeParse`. The example relies on jQuery for DOM selection and D3's scaling functions like `d3.scaleBand` and `d3.scaleTime`.

78% match

Chandrakant Bharatkumar Thakkar

This example visualizes a multi-step process flow as a sequence of connected, color-coded circles arranged on a rectangular canvas. It shows nine distinct process stages, such as “Tech Spec Creation” and “Vendor Onboarding,” organized in a serpentine layout across multiple horizontal sections. The visualization uses D3.js v4 to generate SVG elements, with a custom `d3.arc` for curved connection paths and `d3.line` with a natural curve for the connectors between nodes. Each circle’s fill color reflects its phase (e.g., green, red, gray), and the layout adapts based on the number of process items, placing three activities per line. The chart renders in an HTML page with inline CSS for positioning and includes a Stack Overflow flair image as an external link.

77% match

Chandrakant Bharatkumar Thakkar

This example demonstrates D3.js axis formatting by displaying multiple y-axes side by side, each using a different tick format for the same ordinal scale. The first three axes show simple numbers, floating-point numbers with two decimals, and SI-prefix notation (e.g., "1k"), while a fourth axis switches to a time scale parsing date strings with `d3.timeParse`. The visualization uses SVG rendering with `d3.axisLeft`, `d3.scaleBand`, `d3.scaleTime`, and custom `tickFormat` functions to illustrate how data values and labels change across formats.

Chandrakant Bharatkumar Thakkar

This example shows a stacked bar chart of daily values over two weeks in March 2020, with annotations on select bars and an interactive tooltip revealing current and past values. Rendered as SVG, it uses d3.v4’s `scaleBand` for the x-axis, `scaleLinear` for the y-axis, and the `d3.stack` API with `stackOffsetDiverging` to layer the two value series. A custom axis function adds data-tip labels, while hover interactions trigger a jQuery-based tooltip. The data is embedded in `constant.js`.

Dinesh.Budha

This example presents a dense scatter of small, multi-colored circles generated from a nested set of array mappings. The visualization relies on React and ReactDOM to render an SVG canvas, where each circle's position and fill color are determined by random calculations using `Math.random()`. The composition also incorporates a single, large, hand-drawn SVG path, outlined with a specific stroke, which is transformed and scaled to overlay the scattered points. The piece demonstrates how raw code can produce a complex, layered visual outcome.

DDineshKantumutchu

Chandrakant Bharatkumar Thakkar

This example shows a stacked bar chart comparing current and historical values over time, with data tips that appear on hover to reveal percentage changes. Built with D3 v4, the visualization uses SVG rendering and animation to display a diverging stack of two series (`value` and `pastValue`) across daily ticks. The chart calculates axis ranges and tick intervals through custom helper functions, while jQuery is used for tooltip positioning and interaction. The data source is a hardcoded JavaScript array containing daily values with optional annotations, rendered as a cumulative trend with a custom legend and axis styling.

Chandrakant Bharatkumar Thakkar

This example shows monthly sales data for Laptops, Processors, and RAM as a diverging stacked bar chart, with a legend generated dynamically above the SVG. The chart uses D3 v4’s `d3.stack()` with `d3.stackOffsetDiverging` to layer the three categories across dates from June 2017 to April 2018, with the y-axis scaled to include both positive and negative stacked values. Each series is colored using `d3.scaleOrdinal` with `d3.schemeCategory10`, and the bars are rendered as SVG rectangles with an animated enter transition. The data is hardcoded in the script, and jQuery is used to inject the legend markup.