Bar Chart with D3.js

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.

MManideeprenikindi

81% match

Bar Graph with sub-cats with D3.js

This example shows a bar graph that groups sales data by Sub-Category, with each bar colored by its parent Category (Furniture, Office Supplies, Technology) using a D3 ordinal color scale. It loads a CSV of sample store orders and aggregates total sales per sub-category with `d3.csv`, `d3.sum`, and nested data arrays, then renders the chart as SVG rectangles with `d3.scaleBand`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft` for axes and labels. The code runs in a React-compatible plain HTML page using D3 v5.

78% match

Bar Chart with D3.js

This bar chart visualizes the relationship between five named categories and their numeric values using D3.js v6. The visualization renders as an SVG with steelblue rectangular bars, a chart title, and no axis labels drawn. The code demonstrates D3’s `scaleBand` and `scaleLinear` for positioning and sizing bars, along with data binding via `selectAll` and `enter`. The input data is a hardcoded JavaScript array containing category-value pairs, and the chart is embedded in a basic HTML page without a framework.

78% match

Stacked Bar Graph with D3.js

This stacked bar graph visualizes yearly sales, expenses, and profit data from 2015 through 2033 using D3.js v7. The chart employs `d3.stack()` to layer the three categories, with `d3.scaleBand()` for the x-axis and `d3.scaleLinear()` for the y-axis. Each bar segment is rendered as an SVG `rect`, colored via `d3.scaleOrdinal()`, with axes generated by `d3.axisBottom()` and `d3.axisLeft()`. The data is embedded as CSV strings, parsed with `d3.csvParse()`, and displayed within a React framework using SVG rendering.

Creating a Bar Chart with D3.js

This example shows a bar chart of Walmart’s weekly sales per store, using bar height to encode the sales amount and the x-axis to identify each store. The code loads a CSV dataset from a GitHub URL and renders the chart as SVG elements. It uses D3.js v5 with `d3.csv`, `scaleBand`, `scaleLinear`, `axisBottom`, and `axisLeft`, while React manages the page structure. The visualization also rotates the x-axis labels for readability and uses maroon bars to represent the sales values.

Ssaiyogesh9911@gmail.com

Aavvarijayakrishna99@gmail.com

Bar Chart with D3 and React

This example displays product ratings by subcategory in a horizontal bar chart. Each rectangle’s length corresponds to a product’s numeric rating, with axes labeled using D3’s `scaleLinear`, `scaleBand`, and `axisLeft`/`axisBottom` functions. Built with React and D3 v5, the chart loads data from a CSV file via `d3.csv`, then renders the SVG directly through React’s `rect` elements. The code uses D3’s `select` and `call` methods to apply axis generators, while React manages state and the rendering lifecycle.

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`.

Rendering marks and channels with D3.js and SVG

This example displays a bar chart of store data, showing the relationship between store size and type. Written in React, the visualization uses D3.js to load CSV data from a remote URL, then maps the data to SVG rectangles using `scaleBand` for the y-axis and `scaleLinear` for the x-axis, with axis ticks and labels generated via `xScale.ticks()`.

Ddivyagunuguntla