Skip to main content
SimilarExport ZIP
100%

ICE-6:

✓ Published0🌍 Public
NNaveed945
Last edited Jun 25, 2022
Created on Jun 25, 2022

This visualization displays the profit for the top 12 grocery products using a horizontal bar chart rendered as SVG through React. The code uses React hooks (useState, useEffect, useCallback) to load CSV data via d3.csv, then constructs scales with d3.scaleBand and d3.scaleLinear to map product names and profit values. Profit bars are drawn as SVG rect elements, with gridlines and tick labels generated manually from scale ticks. The data comes from a GitHub-hosted Grocery.csv file, and the chart title appears above the visualization.

AI-generated description

A whole smiley face

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-6 DV

This visualization displays the profit earned by the top 11 grocery products, rendered as a horizontal bar chart using React and D3 v5. The chart uses `scaleBand` for the product categories on the y-axis and `scaleLinear` for profit values on the x-axis, with purple bars showing relative profitability. Data is loaded from a CSV file via `d3.csv` and simple SVG `<rect>` elements are generated for each bar, accompanied by axis labels and tick marks drawn with SVG primitives.

NNaveed945
94% match
Loading thumbnail…

ICE-6

This example renders a minimalist bar chart of grocery product profits using React and D3 v5. It loads CSV data via `d3.csv` and displays only the first two records. The visualization uses `scaleBand` for the y-axis positions and `scaleLinear` for x-axis widths, with profit values mapped to rectangle widths inside an SVG. The chart intentionally lacks axes or labels, and the data comes from a GitHub-hosted grocery dataset rather than the UN population data mentioned in the README.

NNaveed945
89% match
Loading thumbnail…

Fork of ICE-6

This visualization presents a horizontal bar chart displaying the "Unitprice" for the top 10 records from a Supermarket Sales CSV dataset. Each bar represents a product line, with its length proportional to the unit price. The chart is built using React and D3 v5, leveraging `d3.csv` for data loading, `d3.scaleBand` for the y-axis categories, and `d3.scaleLinear` for the x-axis price scale. The SVG rendering includes grid lines and axis labels, with blue bars drawn using SVG rectangles within a transformed group.

LLakshmiManjushaReddyYarreddu
82% match
Loading thumbnail…

Fork of ICE-6

This is a bar chart of supermarket sales data, showing the unit price for the first ten product lines from a CSV file. Built with React and D3 v5, it uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and renders SVG rectangles for each bar. Data is loaded asynchronously via `d3.csv` and limited to ten entries before being displayed. The chart includes custom axes with gridlines and labels, all rendered as SVG elements within a React component.

SsreepavanKothapalli
82% match
Loading thumbnail…

ICE-6: Rendering Marks and Channels with React & D3

This example shows the top 9 most profitable companies as a horizontal bar chart using React and D3. It loads CSV data from a GitHub gist, converts profit values to numbers, and renders SVG bars with axes. The visualization uses `d3.csv` for data loading, `scaleBand` and `scaleLinear` for scales, and maps over tick values to create gridlines and labels. React manages the component state with `useState` and `useEffect`, while `ReactDOM.render` mounts the chart. Styling includes custom colored ticks and marks set via CSS classes.

TTejaswi@3271
82% match
Loading thumbnail…

ICE-6 Fork of HTML Starter

This example shows a horizontal bar chart of product sales data, displaying the December sales figures for the top 10 products. The visualization uses React with hooks like `useState` and `useEffect` to fetch and manage the data, while D3 v5 functions `csv`, `scaleBand`, and `scaleLinear` handle data loading and scaling. The SVG rendering maps products to the y-axis and sales values to the x-axis, with axis ticks and grid lines drawn manually. Data comes from a CSV file loaded via D3’s `csv` method, and the chart updates dynamically once the data arrives.

Aakshitha.rapala@gmail.com
81% match
Loading thumbnail…

Fork of ICE-6: Rendering Marks and Channels with React & D3

A horizontal bar chart displays revenue per month for twelve products from a supermarket dataset, loaded via `d3.csv` from a GitHub Gist. React state and hooks manage the asynchronous data loading, while D3’s `scaleBand` and `scaleLinear` map product categories and revenue values to SVG rectangles. Axes and gridlines are manually rendered with D3’s `ticks` and positioned using SVG transforms, with React generating the markup for each element.

Ddivyakota99
81% match
Loading thumbnail…

ICE - 6 Scatter Plot

This interactive D3.js scatter plot visualizes grocery store data, plotting Cost Price on the x-axis against Profit on the y-axis. Points are colored by product category (Grocery, Produce, or other) and sized with additional attributes for Selling Price and Quantity. The visualization uses D3's `csv` loader to fetch data, `scaleLinear` for axis scaling, and `axisLeft` and `axisBottom` for rendering axes. The chart spans the full browser window and applies a custom margin, with data-driven circles drawn via SVG joins.

NNaveed945
81% match