Skip to main content
SimilarExport ZIP
100%

ICE-6: Rendering Marks and Channels with React D3

✓ Published0🌍 Public
Mmanishcheruku
Last edited Mar 11, 2023
Created on Mar 10, 2023

This visualization displays a horizontal bar chart of the top 15 countries by basic cost using 2019 World Population data. The chart renders as an SVG within a React app, with blue grid lines and numeric labels along the x-axis and country names on the y-axis. The code uses React hooks (`useState`, `useEffect`) to load and manage CSV data via `d3.csv`, then applies `scaleBand` for categorical positioning and `scaleLinear` for quantitative scaling. D3’s `max` function computes the domain for the cost values.

AI-generated description

Basic Bar Chart [Data Wold Population 2019] (https://gist.githubusercontent.com/curran/0ac4077c7fc6390f5dd33bf5c06cb5ff/raw/605c54080c7a93a417a3cea93fd52e7550e76500/UN_Population_2019.csv) Loading using React and D3

MIT Licensed

Similar vizzes

Loading thumbnail…

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

This example uses React and D3 v5 to render a horizontal bar chart of basic costs for 15 countries from a CSV dataset. It shows categorical marks as SVG rectangles positioned by a D3 `scaleBand` and `scaleLinear`, with axes drawn manually using gridlines and tick labels. The code imports D3 functions like `csv`, `scaleBand`, `scaleLinear`, and `max` within a React component, using hooks such as `useState` and `useEffect` to load data. All marks and channels are rendered declaratively as SVG elements.

Kkarumanchimanasa
91% match
Loading thumbnail…

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

This example visualizes the top fifteen countries by their 2022 population as horizontal bars, with each bar’s length encoding population magnitude. Built with React and D3 v5, the code uses `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the numeric x-axis, and renders SVG `<rect>` marks directly in React’s JSX. Data is loaded from a CSV via `d3.csv`, and axes are drawn manually with `d3.scaleLinear.ticks` and tick text elements.

Ssivamani
90% match
Loading thumbnail…

ICE-06: Rendering Marks and Channels with React & D3

This visualization displays the basic cost of products sold across fifteen countries, using horizontal bars whose lengths encode the financial value for each country. Built with React and D3 v5, the code renders an SVG chart by mapping country names to a d3.scaleBand y-axis and cost values to a d3.scaleLinear x-axis. The data is loaded from a CSV file via d3.csv, and the bars are drawn as SVG rectangles within a transformed group.

Ssnehareddygurram
90% match
Loading thumbnail…

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

This example displays country-wise basic internet costs as a horizontal bar chart, loading data from a CSV file and rendering it as SVG marks. The React component uses state and effects to fetch and parse the data, while D3’s `scaleBand` and `scaleLinear` map country names and cost values to pixel positions. Axes are manually constructed using array mappings for ticks and labels, with rectangle elements representing each bar. The visualization integrates React’s declarative rendering with D3’s scaling utilities, demonstrating a hybrid React-and-D3 approach for static chart generation.

AAnanthulaaditya
90% match
Loading thumbnail…

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

This example shows the top 10 most populous countries in 2019 as horizontal bars, using React and D3 to render SVG marks and channels. The data is loaded from a CSV via `d3.csv`, then visualized with `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Axes are drawn manually with `xScale.ticks()`, while `rect` elements encode population values by length. The React component uses `useState` and `useEffect` to fetch and manage the data asynchronously.

Hhailiwang@my.unt.edu
90% match
Loading thumbnail…

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

This example shows a bar chart of the top 10 countries by GDP per capita, using green rounded rectangles to encode values. Data is loaded from a CSV via d3.csv and sorted by slicing the first ten rows. The visualization uses React hooks (useState, useEffect) to manage state, while D3 scales (scaleBand, scaleLinear) and SVG elements are rendered declaratively. Axis ticks and grid lines are generated manually using xScale.ticks() and DOM elements, without axis helper components.

Uubl2
90% match
Loading thumbnail…

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

This visualization shows the top 10 most populous countries in 2019 using horizontal bar marks, with country names on the y-axis and population values on the x-axis. The bars are rendered as SVG rectangles, with blue grid lines and tick labels generated from the linear scale. The code uses React hooks (`useState`, `useEffect`) to load and transform CSV data via `d3.csv`, then creates scales with `d3.scaleBand` and `d3.scaleLinear`. Axes and ticks are manually positioned using React elements rather than D3 axis components, combining React's declarative rendering with D3's data manipulation and scaling utilities.

JJyothicherukuri
89% match
Loading thumbnail…

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

A horizontal bar chart displays the top 10 most populous countries, with bars sized by population using an SVG `<rect>` for each mark. Built with React for component state and rendering, it uses D3 v5 scales (`scaleBand`, `scaleLinear`) and formatting (`format`) to position bars and tick labels. The bar widths encode population values, and hover tooltips show formatted numbers. Data comes from the United Nations World Population Prospects 2019 CSV, loaded asynchronously via `d3.csv` and sliced to the top ten entries.

SSnapika
89% match