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Gabriel Dias Menezes

@dmenezesgabriel·14 public vizzes

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Menus with React

This example demonstrates a simple interactive menu built with React, where a user can select an option from a dropdown list. It shows how a basic HTML `<select>` element is rendered as a React component using `ReactDOM.render` into a root div, with three static options pre-selected. The code uses React 16.9.0 and ReactDOM from CDN, and the choice is styled with large text. No data source or external library beyond React is used; the menu is purely a static UI element.

Jun 24, 2022
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react-d3-world-map

This example displays a world map using React and D3, rendering countries and their interiors as SVG paths with a teal fill and red boundary strokes. It uses the `geoEqualEarth` projection and `geoPath` from D3 to generate shapes, while loading geographic data from the world-atlas TopoJSON dataset via the `json` and `feature`/`mesh` functions. The visualization is built with React components, with the map embedded in a fixed-size SVG viewport.

Jun 24, 2022
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react-d3-line-chart

A React and D3 line chart visualizes San Francisco weekly temperature data, showing temperature fluctuations across time. The visualization uses React for component structure and D3 v7 for scales, axes, and line generation with a natural curve. Data loads asynchronously via D3's `csv` function. SVG renders the plot with axis components for bottom and left, while marks display the line path with circular points, each containing an HTML title element for tooltips.

Jun 22, 2022
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react-d3-scatterplot

This example renders a scatter plot of the classic Iris dataset, mapping sepal length to the x-axis and sepal width to the y-axis. Built with React, it loads CSV data via d3.csv and uses d3.scaleLinear to construct the axes. SVG circles represent each data point, with a native title element providing hover tooltips. The code defines reusable components for axes and marks, and uses d3's extent and nice functions to set the scale domains.

Jun 21, 2022
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Stylized Bar Chart

This stylized bar chart displays population data for ten countries from the UN’s 2019 World Population dataset. Using React with D3 v7, it builds a horizontal bar chart with a band scale for countries and a linear scale for population, rendering axes and marks as SVG elements. The chart applies a custom Poppins font, colored tick marks, and teal bars with hover tooltips via SVG `<title>` elements. The `csv` loader fetches the data, while `format` and `scaleBand` handle labeling and spacing.

Jun 1, 2022
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Refactored Bar Chart

This example shows a horizontal bar chart of population data for the top 10 countries in 2020, using React to render SVG elements. It fetches the UN Population dataset via `d3.csv`, then uses `scaleBand` and `scaleLinear` from D3 v7 to map country names and population values to screen coordinates. The chart is composed of three reusable React components for the bottom axis, left axis, and the bars themselves, with each axis tick and bar generated as separate SVG elements. The visualization demonstrates a modular, component-based approach to building D3 charts within a React framework.

Jun 1, 2022
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Axis with React & D3

This example shows a horizontal bar chart of the top ten countries by 2020 population, using React to manage the loaded data state and D3 utilities to compute the axes and scales. The code loads CSV data via `d3.csv`, maps it with `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, then renders tick marks, labels, and bars as SVG elements. React’s `useState` and `useEffect` handle the asynchronous data fetch and trigger rendering, with each bar’s width and position derived from the scaled population values.

Jun 1, 2022
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The Margin Convention

This example demonstrates the margin convention for bar charts, displaying the top 10 countries by 2020 population from a UN dataset. The chart renders horizontal bars using SVG `<rect>` elements, positioned with `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. Data loads asynchronously via `d3.csv` into React state with `useEffect`, while margins are applied through a translated `<g>` group. The visualization shows how to separate chart dimensions from overall SVG size using explicit margin objects.

May 30, 2022
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React D3 Bar Chart

This example visualizes the top 10 countries by projected 2020 population as a horizontal bar chart, with country names on the y-axis and population scaled along the x-axis. It loads data from a CSV URL using the D3 `csv` function and stores the parsed result in React state via the `useState` and `useEffect` hooks. The bars are rendered as SVG `<rect>` elements, with positions and widths computed using D3’s `scaleBand` and `scaleLinear`. React manages the component lifecycle, displaying a loading message until the data arrives.

May 30, 2022
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Loading Data with React & D3

A donut chart displays the relative proportions of CSS named colors, with each slice filled by its corresponding RGB hex value. The visualization loads a CSV dataset from a GitHub gist using D3's `csv` utility, while React's `useState` and `useEffect` manage the asynchronous data fetching and rendering state. The SVG output is generated by mapping the parsed data through D3's `pie` and `arc` functions, producing colored path elements centered within a 960x500 viewport.

May 27, 2022
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Fork of Vega-Lite API

This fork of the Vega-Lite API renders a line chart that visualizes temperature readings over time. The visualization uses the vega-lite-api library to construct the chart, with a markLine encoding timestamp and temperature fields. Data originates from the UCI Machine Learning Repository's Auto MPG dataset, retrieved via the d3 `csv` function. The implementation registers both Vega and Vega-Lite, and includes a Vega Tooltip handler for interactive data exploration, with custom styling applied through a separate config file.

May 27, 2022
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Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file from a remote URL using D3.js version 7. The visualization displays a text-only summary of the dataset, showing its size in kilobytes, row count, and column count in a large predefined HTML element. It uses the `d3.csv` method to fetch and parse the CSV data asynchronously, then applies `d3.csvFormat` to measure the data size. The data source is a GitHub Gist containing CSS named colors.

May 26, 2022
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Mouse follower

This example shows a circle that follows the mouse cursor across an SVG canvas. It demonstrates React state management with the `useState` and `useCallback` hooks, where mouse coordinates from the `onMouseMove` event update the circle’s position. The visualization renders with React DOM into an SVG element using d3.v7, with the initial circle centered at the viewport midpoint.

May 26, 2022
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Hello, World!

The visualization shows a grid of eighteen smiling faces, each randomly generated with varying eye offsets, eye radii, mouth widths, and stroke widths. It renders SVG circles for the background and eyes, while constructing the mouth using a `d3.arc` path. The React app maps over a `range` from `d3` to create multiple `Face` components, which compose smaller components like `BackgroundCircle`, `Eyes`, and `Mouth` within an `FaceContainer` SVG group.

May 20, 2022