Chandrakant Bharatkumar Thakkar

Chandrakant Bharatkumar Thakkar

A dual-stacked area chart compares planned versus actual production of computer hardware components (RAM, keyboards, monitors, etc.) across monthly intervals from June 2017 to April 2018. The visualization uses a diverging offset to separate the two datasets, with an animated legend that toggles between the series. Built with D3 v4, the chart relies on `d3.stack` and `d3.scaleBand` for grouped, offset bars, rendering interactive SVG elements that respond to user clicks. Data is embedded directly in JavaScript arrays within the page.

85% match

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.

82% match

Chandrakant Bharatkumar Thakkar

This example shows a stacked diverging bar chart that visualizes monthly sales data for three product categories: Laptops, Processor, and Ram, from June 2017 through April 2018. The chart uses a horizontal layout with time on the y-axis and numeric values on the x-axis, rendered as animated SVG rectangles. It builds the chart with d3.stack() using the stackOffsetDiverging offset, and employs d3.scaleOrdinal with d3.schemeCategory10 for categorical coloring. A custom legend is generated dynamically above the chart using jQuery, and the data is loaded from a hardcoded array within the script.

81% match

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`.

Chandrakant Thakkar

This visualization displays a Gantt-style timeline of process steps—cleaning, batch, and waiting—over several weeks in September and October 2017. It renders horizontal line segments as step charts, with batch processes positioned on an upper line and other types on a lower line. The code uses D3 v4 with SVG, employing `d3.scaleLinear` for the time axis and `d3.scaleOrdinal` with `schemeCategory20` for legend colors. A tooltip provides start and end dates and process type for each segment, and the chart redraws on window resize.

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 displays a randomized scatterplot of orange circles layered over several smoothly curved lines, each line representing a set of data points mapped across six month labels from January to June. The visualization uses D3.js v4 to generate SVG elements, with scales for positioning and axes for reference. It also includes an interactive reset button that triggers animated transitions, moving all circles to new random positions over one second.

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.