Handloom Business Bar Chart

Online Sales Bar Chart

This bar chart visualizes online customer sales, plotting the number of purchases against total revenue for each category. It uses D3.js v4 with an SVG rendering approach, leveraging `d3.scaleBand` for the categorical x-axis and `d3.scaleLinear` for the continuous y-axis. Data is loaded asynchronously from a CSV file via `d3.csv`. The chart positions rectangular bars with a fixed blue fill, rotating the x-axis labels for readability.

76% match

Car Sales Bar Chart

This visualization displays car sales figures as a bar chart, with each brand represented by a vertical bar showing its last-year sales count on a linear scale. The chart includes rotated x-axis labels for readability and uses a teal color scheme for the bars. Built with D3.js v4 and React, the visualization creates an SVG graphic, using `d3.scaleBand` for the categorical x-axis, `d3.scaleLinear` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for tick marks. Data is loaded from a CSV file containing brand and sales information.

74% match

Sales by Category

This bar chart compares total sales across product categories. The visualization uses aggregated sales data from a CSV file, displaying each category as a steel-blue bar. The chart is built with D3 version 5, using `d3.scaleBand` for the categorical x-axis and `d3.scaleLinear` for the y-axis. The SVG rendering includes axis labels and a title, with the x-axis labels rotated for readability.

Ssaikrishnabussa

73% match

Online Sales for Purchase Value Bar Chart

This bar chart displays total online sales revenue by year for a customer dataset, with a fixed y-axis scale of 0 to 90 and red bars representing revenue values. The visualization uses D3.js v4 to parse CSV data from a GitHub repository, scale the categorical year values on the x-axis via `d3.scaleBand`, and map revenue to a linear scale on the y-axis. SVG rectangles are drawn for each bar, while `d3.axisBottom` and `d3.axisLeft` generate the labeled axes, with rotated x-axis text for readability.

73% match

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`.

Yearwise Car Sales Bar Chart

This D3.js v5 bar chart visualizes car sales figures for the year 1980 across different car makes, using a horizontal bar layout encoded with SVG rectangles. The chart employs `scaleBand` for the categorical y-axis of car brands and `scaleLinear` for the numeric x-axis of sales values, with sales data loaded from a CSV file hosted on GitHub. React manages the rendering pipeline, while the visualization includes formatted tick labels (using `format` to abbreviate large numbers) and tooltips that display the precise sales amount for each bar. The data is processed through a custom `useData` hook that converts the CSV's "1970" column into sales numbers.

HHemanthh81

diabaties and details

A bar chart displays regional diabetes-related sales data from a CSV file, with each region on the x-axis and sales values on the y-axis. The visualization shows the sales figures for ten regions, ordered as they appear in the data. The chart uses the D3.js library (v7) to create the SVG-based bar chart, employing d3.csv to load the data, d3.scaleBand for the categorical x-axis, and d3.scaleLinear for the numerical y-axis, with axis labels and a title included.

Ppardha1411

Untitled

This bar chart visualizes total car sales across different locations, with each location represented by a vertical bar scaled against a fixed y-axis range of 0 to 13. The chart uses D3.js v4 to fetch data from a CSV file hosted on GitHub, then renders the visualization as an SVG. The code employs `d3.scaleBand` for the categorical x-axis, `d3.scaleLinear` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` to generate the axes. Bars are drawn as SVG rectangles with a teal fill color, and x-axis labels are rotated 45 degrees for readability.