Chandrakant Bharatkumar Thakkar

100%

Chandrakant Bharatkumar Thakkar

✓ Published0🌍 Public

Last edited Jul 2, 2017

Created on Jul 2, 2017

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.

AI-generated description

Similar vizzes

Loading thumbnail…

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.

CChandrakantThakkarDigiCorp

94% match

Loading thumbnail…

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.

CChandrakantThakkarDigiCorp

85% match

Loading thumbnail…

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.

CChandrakantThakkarDigiCorp

83% match

Loading thumbnail…

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`.

CChandrakantThakkarDigiCorp

83% match

Loading thumbnail…

Chandrakant Bharatkumar Thakkar

This example shows planned versus actual production quantities for seven computer component types across eleven months. Two series are visualized with a D3.js chart, each using a distinct color from a custom ordinal scale. The rendered SVG is accompanied by a legend and an external Stack Overflow profile link. The data is embedded directly in the code, and the chart employs D3 v4 for time formatting and scale management, with SVG as the rendering output.

CChandrakantThakkarDigiCorp

81% match

Loading thumbnail…

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

81% match

Loading thumbnail…

Stacked Bar Chart with D3.js

This stacked bar chart visualizes monthly sales data for ten products, with each bar segmented by month. The example uses D3.js v7 to generate random data, render SVG rectangles for the bars, and apply `d3.scaleBand` and `d3.scaleLinear` for positioning. Color encoding via `d3.scaleOrdinal` with `d3.schemeCategory10` distinguishes months, while axes, labels, and a legend are added using `d3.axisBottom` and `d3.axisLeft`.

Ssaikrishnabussa

78% match

Loading thumbnail…

Example

This multi-series bar chart displays product category sales across three customer segments, with each bar stacked to show the cumulative sales total per category. The visualization uses D3.js with SVG rendering and a custom legend that filters the displayed segments on hover, dimming the base bars and highlighting the selected layer. Data is loaded from a CSV file, and the chart employs d3.scale.ordinal, d3.layout.stack, and d3.legend to handle axes, stacking, and color encoding. Animated transitions are not present, but the interactive tooltip via d3-tip provides per-bar sales values.

SShashwat Priyadarshi

77% match