Fork of Hello VizHub

100%

Fork of Hello VizHub

✓ Published0🌍 Public

Last edited Mar 11, 2023

Created on Mar 11, 2023

This example shows a horizontal bar chart of the top 15 movies by Meta score, displaying each film’s title along the y-axis and its score along the x-axis. The visualization uses React for component state and rendering, with D3 v5’s `scaleBand`, `scaleLinear`, `csv`, and `max` functions to load and scale data from a GitHub-hosted CSV. SVG rects are drawn inside a transformed group, with custom tick labels and gridlines generated manually rather than via D3 axes. The data loads asynchronously and defaults to a "Loading..." message until ready.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This example shows a horizontal bar chart of the top 15 movies from an IMDB dataset, displaying their Meta scores. The React app loads CSV data with d3.csv, then uses d3.scaleBand for the y-axis and d3.scaleLinear for the x-axis. It renders SVG rectangles for each bar, with axes built manually using d3.ticks and tick labels drawn as SVG text elements.

NNikitha123171

85% 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

81% match

Loading thumbnail…

Assignment 6

A horizontal bar chart displays the top 15 movies by rank within a year, with movie titles labeled on the y-axis and rank values on the x-axis. Built with React and D3.js, the visualization loads data from a CSV file using `d3.csv`, scales axes with `d3.scaleBand` and `d3.scaleLinear`, and renders the ranking bars as SVG rectangles. Gridlines mark each tick value on the x-axis, while the axes are drawn manually without dedicated axis components.

BBaswa Sathvika Reddy

81% 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

81% match

Loading thumbnail…

Fork of Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of student marks, ranking the top 10 students by their scores. The visualization uses React hooks (`useState`, `useEffect`) to load CSV data via `d3.csv`, then renders SVG rectangles scaled with `d3.scaleBand` and `d3.scaleLinear`. Axes are drawn manually using mapped tick values rather than D3 axis generators, with React creating the SVG elements. The chart updates reactively as data loads, displaying a loading message until the CSV arrives from the GitHub gist URL.

RRahulSai05

80% match

Loading thumbnail…

Rendering Marks and Channels with React & D3

This example shows the IMDB ratings of the top 15 movies by number of votes as a horizontal bar chart. The visualization uses React to manage state and render SVG elements, while D3.js provides the scale functions (`scaleBand`, `scaleLinear`) and data loading via `d3.csv`. The bars encode the vote count through their width, with axis ticks and labels generated manually. Movie titles appear on the y-axis, and the data comes from a GitHub-hosted CSV file fetched asynchronously.

Ssiddu7147

80% 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

80% match

Loading thumbnail…

Fork of Fork of Fork of Rendering Data with React & D3

This visualization displays a horizontal bar chart comparing student marks, using a dataset loaded from a CSV file and limited to the first 10 students. The chart renders as an SVG, with blue bars representing each student’s score on a linear scale, while a band scale positions the student names on the y-axis. The code combines React hooks for state management and data loading with D3 utilities such as `csv`, `scaleBand`, `scaleLinear`, and `max` to compute scales and render tick marks and rectangles.

Kkirangithub23

79% match