index

Aavvarijayakrishna99@gmail.com

Product Sales Bar Chart

This bar chart displays product sales figures from a CSV file, with each product’s sales value represented by a steelblue bar. The visualization uses D3.js to create an SVG, scaling the x-axis with `d3.scaleBand` and the y-axis with `d3.scaleLinear`. Axis labels are rotated, and a title is added, all rendered via the D3 SVG API. Data is loaded asynchronously from a GitHub gist using `d3.csv`.

BAR CHART CREATION

This bar chart displays sales values for 50 products, with each product’s value encoded by the height of a horizontal bar. The visualization uses D3.js v7 to load data from a CSV file via `d3.csv`, then renders bars as SVG rects with scaling through `d3.scaleBand` and `d3.scaleLinear`. Hover interactions highlight bars in orange and trigger a tooltip showing the product name and value. The chart includes rotated x-axis labels, a title, and axis labels for Products and Sales Value.

BAR CHART CREATION

bar D3 Starter

This interactive bar chart displays sales values for 49 products (Product A through Product AW), ranging from 124 to 198, loaded from a CSV file using d3.csv. Built with D3.js v7, it renders SVG rectangles scaled with d3.scaleBand and d3.scaleLinear. Hovering triggers a tooltip and changes bar fill to orange, while rotated axis labels and labeled axes aid readability.

SSai Hemanth Babu Sunkari

bar grapgh

This bar chart displays total sales across product categories, with each category represented by a colored bar on a band scale. The visualization uses D3.js v7 to load CSV data from a GitHub gist, map it into an array of category-total pairs, and render an SVG chart with axes, labels, and a legend. The code applies a sequential color scheme via `d3.scaleOrdinal` with `d3.schemeCategory10`, and uses `d3.axisBottom` and `d3.axisLeft` for the axes. A title and rotated category labels are included to improve readability.

82% match

Fork of Making a Bar Chart

This bar chart displays the top ten products by revenue, with each bar’s length proportional to dollar sales, as sourced from a CSV file. It demonstrates customized D3 axes, including a formatted tick label that abbreviates large numbers and removes unnecessary domain lines. Built with D3 v5, the visualization uses `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom`/`axisLeft` to render SVG elements. The chart’s title and axis label are added via SVG text.

Sskambhore04

81% match

Aadithiarikatla@gmail.com

sales data

This visualization displays monthly sales data as a bar chart, with the x-axis representing the month and the y-axis showing sales figures. The bars are rendered in steel blue and turn orange on hover, providing interactive feedback. The chart is built using the D3.js library (d3.v7) with SVG rendering, and data is loaded from a CSV file hosted on GitHub via `d3.csv` with `d3.autoType` for type conversion. Axes are generated using `d3.scaleBand`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`.

81% match

Fork of bar D3 Starter

This bar chart visualizes product sales values from a CSV dataset, with each bar representing a product and its height corresponding to the sales figure. The chart includes axis labels, a title, and interactive hover effects that display a tooltip and change the bar’s color. Built with D3.v7, it uses `d3.csv` to load the data, `d3.scaleBand` and `d3.scaleLinear` for scales, and `d3.axisBottom`/`d3.axisLeft` for axes, all rendered as SVG within a styled HTML page.