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

100%

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

✓ Published0🌍 Public

Last edited Mar 11, 2023

Created on Mar 11, 2023

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.

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 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

97% 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

96% 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

96% match

Loading thumbnail…

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

This example displays the top 20 movies from an IMDB dataset as a horizontal bar chart, where bar length encodes movie rank and each bar is labeled with its numeric rank. Built with React for component state and rendering, it uses D3 v5 APIs such as `csv` for data loading, `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and manual SVG elements for axes and grid lines. The chart updates reactively after the CSV is fetched asynchronously.

Nnsatyaprakash22

94% match

Loading thumbnail…

ICE-6: rendering Marks and channels with react and D3

This example visualizes the top 100 movies by IMDB rating as a horizontal bar chart, though it currently displays only the first five entries from a CSV dataset. The chart uses React for component state management, with D3 v5 handling scales, axes, and data loading via `d3.csv`. Marks are rendered as SVG `<rect>` elements, with `scaleBand` for the y-axis and `scaleLinear` for the x-axis, and the code draws custom tick labels and gridlines. It encodes movie names and ratings through spatial position and bar length.

TTharun Reddy

93% match

Loading thumbnail…

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

This example shows a horizontal bar chart of the top 15 Netflix movies by score, with red gridlines and labeled axes. It uses React to manage state and render the SVG, while D3 v5’s `csv`, `scaleBand`, `scaleLinear`, and `max` functions handle data loading and scaling. The code builds custom axis ticks and rectangles instead of using D3’s axis generators, and the raw data comes from a gist-hosted CSV file. The chart updates when new data is fetched via the `useEffect` hook.

SSravaniPosina

91% match

Loading thumbnail…

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

This bar chart displays the titles and ratings of 15 movies, fetched from a remote CSV file. Built with React and D3 v5, it renders an SVG with horizontal bars and axes. The code uses `d3.csv` to load and parse data, `d3.scaleBand` for the y-axis, `d3.scaleLinear` for the x-axis, and maps data to SVG `rect` elements for the bars.

AAISWARYAMARAPATLA1999

90% match

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

89% match