Gul Jamal Zim

@gjzim·9 public vizzes

Refactored Bar Chart

This example demonstrates a horizontal bar chart comparing the populations of the top 10 countries from the UN Population 2019 dataset. The visualization uses D3 v5 utilities for data loading (`csv`) and scaling (`scaleBand`, `scaleLinear`), while React components construct the SVG rendering. The code is refactored into reusable components for the bottom axis, left axis, and marks, with the chart layout defined by fixed margins and dimensions.

Jun 16, 2021

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Axis with React & D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population, rendered as SVG using React components. The code loads data from a CSV file of UN population estimates via the `csv` function from D3 v5, then uses `scaleLinear` for the x-axis and `scaleBand` for the y-axis. React's `useState` and `useEffect` hooks manage asynchronous data loading, while ReactDOM renders the chart and D3-generated tick marks. The visualization combines React's component model with D3's scales and axis utilities for a straightforward data-driven layout.

Jun 9, 2021

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The Margin Convention

This example demonstrates the Margin Convention by rendering a bar chart of the top 10 most populous countries from UN population data. It loads CSV data with `d3.csv`, then uses `scaleBand` and `scaleLinear` to position and size rectangles within an SVG, with a grouped `<g>` element applying the margin offsets. React manages state and rendering. The chart shows horizontal bars whose widths correspond to each country’s 2020 population, with the margin ensuring axes and labels remain inside the viewport.

Jun 9, 2021

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Rendering Data with React & D3

This example uses React and D3 to render a horizontal bar chart of the top 10 most populated countries for 2020, sourced from a CSV file of UN population data. It fetches the data with `d3.csv`, scales bars with `d3.scaleBand` and `d3.scaleLinear`, and maps each country to an SVG `<rect>` element via React components. The chart displays population counts as bar widths, with a "Loading..." state shown before data arrives.

May 22, 2021

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Rendering Data with React

This visualization displays CSS named colors as a radial burst, with each color represented by a wedged path arranged around a central point. It loads color data from a CSV file using D3’s `csv` utility, then computes pie angles with `d3.pie` and generates arcs with `d3.arc`. React manages the component state and renders the SVG paths, filling each wedge with its corresponding RGB hex value from the dataset. The example demonstrates how D3 handles data parsing and geometry while React controls the user interface rendering.

Feb 7, 2021

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Loading Data with React

This example demonstrates how to load and summarize a CSV dataset within a React application. It uses D3’s `csv` function to fetch a list of CSS named colors from a remote URL, then displays key statistics about the data—file size in kilobytes, row count, and column count—as plain text in a large `<pre>` element. The React component manages state with `useState` and triggers the asynchronous data loading via `useEffect`. While the page is fetching, it shows a "Loading..." message, and the rendering relies on `ReactDOM.render` to place the output into the root `<div>` in the SVG-less HTML layout.

Jan 8, 2021

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Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v6. It fetches a remote CSV file containing CSS named colors from a GitHub gist and converts the raw text into parsed data using `d3.csvParse`. The code showcases the asynchronous `fetch` API combined with `async`/`await` syntax, and includes commented-out alternatives for handling the response. No visualization is rendered; the focus is solely on data ingestion and text-to-CSV parsing.

Jan 5, 2021

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Mouse Follower

A single black circle follows the mouse as it moves across an SVG canvas. The React component tracks pointer coordinates through an `onMouseMove` event handler and updates the circle’s `cx` and `cy` attributes via React state. The example imports the `arc` function from d3 but does not use it, relying instead on plain SVG rendering and React’s `useState` and `useCallback` hooks for interactivity.

Jan 1, 2021

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Smiley Face Part #1

A grid of randomly generated smiley faces is displayed, each with animated variations in eye size, mouth width, and stroke thickness, rendered as SVG. The visualization uses React components to compose each face, while D3’s `arc` generator creates the curved mouth shape. Random values from D3’s `range` and `Math.random` drive the per-face parameters, producing playful diversity across the 18 faces.

Dec 17, 2020