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

100%

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

✓ Published0🌍 Public

Last edited Mar 23, 2023

Created on Mar 23, 2023

This example visualizes video game review scores for a subset of games using a horizontal bar chart. The chart maps game names to the y-axis with a band scale and scores to the x-axis with a linear scale, rendering red gridlines and score labels. Built with React hooks and D3 v5, it loads CSV data from a GitHub gist, slices it to twenty entries, and renders SVG rectangles via React components. The code directly uses d3.csv, d3.scaleBand, d3.scaleLinear, and d3.max for data processing and scaling.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

This example displays review scores for a selection of video games as a horizontal bar chart, with game names on the y-axis and score values on the x-axis. It uses React for component structure and state management, while D3 v5 functions like `scaleBand`, `scaleLinear`, and `max` handle data scaling and layout. The data is loaded from a CSV file via `d3.csv` and rendered as SVG rectangles. D3’s axis ticks are manually generated through `xScale.ticks()`, and the chart is styled with red gridlines.

Ggunasindhuja

96% match

Loading thumbnail…

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

This example displays a horizontal bar chart of the top 15 movies by their Metascore, using React to manage the component state and D3 version 5 for data processing and scales. It loads a CSV file from a GitHub Gist, parses the numeric score values, and renders the bars as SVG rectangles. The code uses `d3.csv`, `d3.scaleBand`, `d3.scaleLinear`, and `d3.max` to handle data loading, axis positioning, and scaling, with React’s `useState` and `useEffect` to fetch and store the data before rendering.

TTejaswicmandava

88% match

Loading thumbnail…

ICE-6 : Rendering Marks and Channels with react and D3

This example displays a bar chart of student scores from a CSV file, using React to manage state and D3 to render SVG marks. The horizontal bars encode each student's amount through length, with categorical names on the y-axis and a linear scale for values on the x-axis. The code uses `d3.csv`, `scaleBand`, and `scaleLinear`, along with `axisLeft` and `axisBottom` for ticks. React’s `useState` and `useEffect` load and transform the data, while `ReactDOM.render` mounts the visualization.

HHarshinireddyy19

88% match

Loading thumbnail…

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

This example displays a horizontal bar chart of the top 15 movies by Meta_score, sourced from a CSV file of population-by-country data loaded via D3’s `csv` function. Using React with hooks (`useState` and `useEffect`) and D3 scales (`scaleBand`, `scaleLinear`), the SVG renders rectangles for each movie, with axes drawn manually from `xScale.ticks()` and the band domain. The chart demonstrates mark (rect) and channel (length) mapping, with all visualization elements generated in JSX.

TTejaswicmandava

87% match

Loading thumbnail…

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

This example shows the top 15 movies by metascore as a horizontal bar chart, with each bar’s length encoding the numeric score and the movie title on the y-axis. The visualization uses React’s `useState` and `useEffect` hooks to load CSV data via `d3.csv`, then renders SVG marks with `scaleBand` and `scaleLinear` for positions. Grid lines and tick labels are drawn manually from `xScale.ticks()`, while D3’s `max` and `format` handle scaling and number display. The code imports D3 v5 utilities like `select`, `axisLeft`, and `axisBottom` but does not use them in the final render.

TTejaswicmandava

87% match

Loading thumbnail…

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

This example visualizes the top 15 movies by metascore as a horizontal bar chart, using the length of each bar to encode the score. The visualization is rendered as an SVG element, with axes and tick labels drawn manually using D3 functions like `scaleBand`, `scaleLinear`, and `max`. The code loads data from a CSV file via `d3.csv` and integrates D3’s scaling and tick-generation methods within React’s component structure, using `useState` and `useEffect` to manage the asynchronous data loading. The chart is built with React’s declarative syntax, producing SVG rectangles and text elements.

HHarshavardhan

87% match

Loading thumbnail…

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

A bar chart displays the top 20 cosmetic products by revenue, using horizontal bars to compare product ratings against their identifiers. The visualization splits responsibilities between React state management and D3 scales, with `scaleBand` mapping ratings to the y-axis and `scaleLinear` mapping anime IDs to bar widths. SVG rendering handles all marks and channels, while custom axis ticks are generated manually through React components rather than D3 axis helpers. Data loads asynchronously from a CSV file via `d3.csv`.

Sskambhore04

86% match

Loading thumbnail…

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

This visualization displays the influence scores of Instagram celebrities as a horizontal bar chart, with each celebrity’s score encoded by bar length along a linear scale. Built with React and D3 v5, it uses React hooks (useState, useEffect) to fetch and parse CSV data via d3.csv, then renders SVG rectangles, axis ticks for the linear x-scale (d3.scaleLinear) and band y-scale (d3.scaleBand), with grid lines and labels drawn manually using React elements.

IIndiraSiripurapu

86% match