Skip to main content
SimilarExport ZIP
100%

VARUN ICE-6

✓ Published0🌍 Public
VVarun Gadde
Last edited Mar 21, 2024
Created on Mar 21, 2024

A bar chart displays the average weight of 20 animal species, with each horizontal bar colored by its value using a linear scale mapped to the `schemeCategory10` color scheme. The visualization is implemented in React, loading CSV data from a gist, sorting it by weight, and rendering bars with D3 v6 scales (`scaleBand`, `scaleLinear`). The x-axis shows average weight in kilograms, and the y-axis lists animal names. The chart uses SVG elements and a color gradient to encode the weight values.

AI-generated description

A responsive bar chart.

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-6 Bar Graph

This example shows a horizontal bar graph of penguin classifications based on island, with bar lengths representing body mass in grams. The visualization uses React state hooks to load CSV data, then renders the bars as SVG rectangles. It employs d3.scaleBand for the categorical y-axis, d3.scaleLinear for the continuous x-axis, and d3.max to compute the domain. Gridlines and tick labels are manually drawn using d3 axis methods, while the data comes from a gist-hosted CSV file.

AAmruthaVee
78% match
Loading thumbnail…

ICE6

The visualization displays a BMI bar chart comparing height, weight, and BMI values for multiple individuals. It renders two side-by-side SVG bar charts using React and D3 v5. The left chart shows BMI scores with bars colored teal, while the right chart displays height and weight as paired orange and blue bars. Data is loaded from a remote CSV file using `d3.csv`, with scales created via `scaleBand`, `scaleLinear`, and axes drawn with `axisBottom` and `axisLeft`.

KKusumaKumariDama@my.unt.edu
76% match
Loading thumbnail…

Bar chart

This bar chart displays the average weight of different species, categorized by continent, revealing which regions harbor the largest animals. The visualization fetches its data from a remote JSON file via `d3.json`, then uses `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis. SVG rectangles are drawn for each species, with axes created using `d3.axisBottom` and `d3.axisLeft`. The chart applies a custom tick format via `d3.format` to abbreviate large numbers, and all rendering occurs in SVG.

EElora-dev
75% match
Loading thumbnail…

ICE-6

This bar chart displays the average height of men across 20 countries, with countries listed along the vertical axis and height values on the horizontal axis. The visualization uses React to manage the component state and D3 v5’s `csv` loader to fetch data from a GitHub-hosted CSV file, while `scaleBand` and `scaleLinear` position the bars. Blue rectangles represent the height values, and the SVG rendering approach uses custom ticks and gridlines generated with D3’s `scaleLinear` ticks method.

Ssaidhiraj16
75% match
Loading thumbnail…

ICE-6

This horizontal bar chart visualizes the relationship between age and BMI for insured individuals, displaying the first 15 records from a CSV dataset. Built with React and D3 v5, it uses `d3.csv` to load data, `d3.scaleBand` for the age categories on the y-axis, and `d3.scaleLinear` for the BMI values on the x-axis. The chart renders as an SVG, with red gridlines and text labels generated via D3’s axis utilities.

Vvagdevi-369
75% match
Loading thumbnail…

ICE-6

A horizontal bar chart displays the top 20 rated anime, with each bar’s length proportional to its rating. The visualization loads CSV data via `d3.csv`, sorts by rating, and renders SVG bars, axes, and labels using React components. It uses D3 scales (`scaleBand`, `scaleLinear`), axis ticks, and text elements for annotation. The chart is styled with CSS in the HTML file, and the React app updates state after data retrieval.

RRaajithaSabbineni
74% match
Loading thumbnail…

ICE6

This bar chart displays the average star ratings for fifteen books, using data loaded from a CSV file via `d3.csv`. The visualization uses React hooks (`useState`, `useEffect`) to manage the data, while D3 v5 APIs construct the scales and axes: `scaleBand` for the book names on the y-axis, `scaleLinear` for the ratings on the x-axis, and `axisBottom`/`axisLeft` for ticks. Each book’s rating is rendered as an SVG `<rect>` within a `<g>` group, with grid lines and tick labels drawn manually using D3 selections. The chart is embedded in an HTML page that loads React and D3 from CDN.

Aakhila157
74% match
Loading thumbnail…

Visualization Page

This page displays a live, interactive bar chart of a test dataset containing five animals and their corresponding numbers. The chart uses SVG rendering within a React framework, employing D3.js v7's `scaleBand` and `scaleLinear` to map the categorical and quantitative data. While the page mentions a food composition dataset from Kaggle, the current code uses inline test data for demonstration. Each bar's height is calculated by subtracting the scaled y-value from the total chart height, with the chart sized at 600 by 400 pixels.

Nnmedsker
74% match