Rahul Gupta

@rahulgupta8·10 public vizzes

Axes with React D3

This example displays the top 10 most populous countries as horizontal bars, emphasizing the lack of axes and scales to contextualize the values. React manages the component state, loading data from the United Nations World Population Prospects 2019 CSV via `d3.csv`, and rendering SVG rectangles. The code uses `scaleBand` and `scaleLinear` from D3 to position bars, though it omits any visual axis or tick labels, resulting in a minimal chart. The bars are drawn with fixed margins and dimensions, showing only relative population sizes without numerical reference points.

Mar 7, 2021

Loading thumbnail…

barChart

This example displays the top 10 most populous countries as horizontal bars, with no axes or labels to guide interpretation. The chart uses React to manage state and render SVG rectangles, while D3’s `scaleBand` and `scaleLinear` map country names to vertical positions and population values to bar widths, respectively. Data comes from the United Nations World Population Prospects 2019 dataset, loaded via D3’s `csv` function and filtered to the first ten rows. The visualization intentionally omits scales, leaving the raw bars to convey relative sizes.

Mar 7, 2021

Loading thumbnail…

D3 pieChart

This example displays a circular pie chart of CSS named colors, with each slice representing an equal share and filled using its own RGB hex value from the dataset. Built with React and D3 v6, the app loads CSV data via `d3.csv` and renders SVG paths using `arc()` and `pie()` generators. The chart is centered on a 960×500 SVG canvas, with slivers sized uniformly since `pie().value(1)` assigns a constant value to each entry.

Mar 5, 2021

Loading thumbnail…

D3 and React data import

This example displays a loading state followed by a full-width vertical stack of colored horizontal bars, each representing a CSS named color from a CSV file. The code uses React hooks (`useState`, `useEffect`) to fetch and store data, while D3’s `csv` function loads the remote dataset. Each row renders a `div` with a background color from the ‘RGB hex value’ column, creating a visual spectrum strip.

Mar 5, 2021

Loading thumbnail…

Vega-Lite API Template

This example demonstrates a scatter plot of automobile data, showing the relationship between vehicle weight, horsepower, and miles per gallon. The visualization uses the Vega-Lite API within a React framework, loading data from a CSV file via D3’s `csv` method. It renders a circle mark for each car, with color encoding weight, size encoding mpg, and tooltips revealing the car name. The code registers Vega-Lite with Vega and integrates the Vega Tooltip handler for interactive labels.

Mar 4, 2021

Loading thumbnail…

Loading Data with React D3

This example demonstrates how to load and summarize a CSV dataset within a React component using D3. It displays the file size in kilobytes, row count, and column count as plain text. The code uses React hooks (`useState`, `useEffect`) to manage asynchronous data loading and the `csv` function from D3 to fetch the dataset from a remote URL. The `message` helper formats the dataset stats, while the view renders either the summary or a loading message.

Mar 4, 2021

Loading thumbnail…

D3 data import

This example demonstrates how to load and summarize a remote CSV dataset using D3.js. It fetches the CSS named colors CSV from a GitHub gist via `d3.csv`, then displays the file size in kilobytes, row count, and column count as large text in a `<pre>` element. The code relies on `d3.csv` and `d3.csvFormat` to parse and measure the data, with React included but unused in the visible behavior.

Mar 4, 2021

Loading thumbnail…

Moving Dot

A dot follows the user's cursor across a full-screen SVG canvas, creating a direct and immediate visual link between mouse movement and the rendered circle. The application is built with React, using the `useState` hook to track cursor coordinates and a `useCallback` handler to update the circle's `cx` and `cy` attributes through React's state management. No D3 layout or simulation is involved; the visualization relies solely on React event handling and SVG rendering, with D3 loaded only for its utility functions.

Mar 4, 2021

Loading thumbnail…

Simley Face Part Completed

A grid of eighteen yellow smiley faces fills the screen, each rendered as a separate React component with slight random variations in eye size, mouth width, and mouth radius. The faces are drawn using SVG circles and a d3.arc path for the mouth, positioned within a translated group. The code composes reusable React components like BackgroundCircle, Eyes, and Mouth, and uses d3.range to generate the repeated instances.

Mar 3, 2021

Loading thumbnail…

Simley Face Part 1

A smiley face rendered with SVG primitives features three circles: a large yellow head and two smaller black eyes, all outlined with black strokes. The React library is loaded via a CDN, though the markup itself uses declarative SVG elements with explicit coordinates and stroke-width attributes. The face is drawn statically on a 960 by 480 canvas with the head centered horizontally, and no animation or interactivity is included.

Mar 1, 2021