Nelson M

@mwinel·20 public vizzes

Globe with Panning & Zooming

This example shows an interactive orthographic globe of the world that supports panning and zooming. It displays country outlines and graticules, rendered with the d3-geo projection system and the geoPath and geoGraticule APIs. The visualization loads GeoJSON country data from a remote TopoJSON file. Users can drag to rotate the globe, which updates the projection’s rotation, and scroll to zoom, which adjusts the scale around a fitted initial view. The code relies on d3-drag and d3-zoom behaviors to handle these interactions.

Mar 27, 2024

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World Map Multiple Views with Brushing

This interactive visualization presents a world map of cities with populations over 50,000, using bubble size to encode the number of dead and missing individuals. A linked date histogram below the map displays the same data aggregated by reported date, with brushing enabled to filter the map. When users brush a time range in the histogram, the map updates to show only cities with reported incidents in that period. The map uses a Natural Earth projection with graticules and country boundaries, while the histogram bins data by month and sums the dead and missing counts. The brushing interaction between the two views allows users to explore temporal patterns geographically.

Mar 27, 2024

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Points on a Map - React, D3

This example displays a world map with city points, using a natural Earth projection to render country boundaries, graticules, and interior borders from World Atlas TopoJSON data. City locations are plotted as semi-transparent circles based on latitude and longitude coordinates loaded from a CSV file. The visualization is built with React for component structure and D3 v5’s `geoNaturalEarth1`, `geoPath`, and `geoGraticule` for map geometry, rendered as SVG elements.

Mar 27, 2024

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Scatter Plot with Menus

This scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements. The example uses React with hooks to manage state for the X and Y axis attributes, which are selected via two dropdown menus. D3’s scaleLinear and extent functions compute the scales, while custom React components render the SVG axes and circle marks. Data is loaded asynchronously from a CSV using D3’s csv function with type coercion.

Nov 23, 2023

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Scatter Plot with Interactive Color Legend

This interactive scatter plot visualizes the Iris dataset, mapping petal length and sepal width along the axes and encoding species with color. Hovering over a legend item highlights the corresponding species’ points while dimming others. Built with React and D3 v5, it uses `scaleOrdinal` for color, `scaleLinear` for positions, and custom React components for axes, marks, and the interactive legend. Data is loaded as CSV and rendered as SVG circles with tooltips.

Nov 23, 2023

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Scatter Plot - React, D3

This scatter plot visualizes the Iris dataset, showing petal length against sepal width for three plant species distinguished by color. The plot uses React components to render SVG elements, with D3's scaleLinear and scaleOrdinal handling axes and color encoding. Axis ticks are generated from the scales, and hovering over a circle reveals its exact petal length via a native SVG <title> tooltip. The color legend displays the species categories, and the chart includes D3-driven axis labels and margins.

Nov 23, 2023

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World Map - React, D3

This example displays a world map with country boundaries and graticules, rendered as an SVG. It uses a React component to load TopoJSON data from the World Atlas and employs D3’s `geoNaturalEarth1` projection, `geoPath`, and `geoGraticule` for the visual output. The map distinguishes landmasses, graticule lines, and interior country borders with different colors.

Nov 20, 2023

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Line Chart - React, D3

A line chart displays daily temperature readings from the Data Canvas Sense Your City dataset, with a time-based x-axis and a linear y-axis for values. The visualization uses React components to render SVG elements, with D3 scale functions (`scaleTime`, `scaleLinear`) mapping data to coordinates. The `Line` component draws a natural curve path through the data points and adds circular markers with tooltips showing the exact timestamp on hover. Axis components generate tick marks and labels, while styling is applied through CSS classes on the SVG elements.

Nov 20, 2023

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Stylized Scatter Plot - React, D3

A stylized scatter plot visualizes the Iris dataset, mapping petal length on the x-axis against sepal width on the y-axis. The React app uses a custom hook to load the CSV data, then renders SVG circles and axes via D3 scales. The code builds axis ticks manually from `scaleLinear` and `extent`, and formats tick labels with D3's `format`. This example demonstrates integrating React components with D3's data manipulation and scaling functions for a clean, interactive-free static visualization.

Nov 18, 2023

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Bar Chart - React, D3

A bar chart displays the top 10 most populous countries in 2020, using horizontal bars sorted by population. The visualization is built with React components and D3 scales (`scaleBand`, `scaleLinear`), rendering SVG rectangles for marks and custom axis components. D3’s `csv` loader fetches United Nations World Population Prospects 2019 data, with population formatted in billions. Tooltips show exact values via SVG `<title>` elements, while axes and labels are styled with CSS.

Nov 18, 2023

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Vega-Lite API Religeon by Country Top 5 Stacked Bar Chart

This stacked bar chart displays the top five countries by population, broken down by religious affiliation, using data from a CSV file of global religion statistics. Each bar is segmented by religion with a color encoding and interactive tooltips showing population values. The visualization is built with the Vega-Lite API, which registers Vega and Vega-Lite libraries, and renders SVG output. Data loading uses the `csv` function from d3, while the chart configuration and encoding are defined through the `vl` API methods like `markBar`, `encode`, and `config`.

Nov 18, 2023

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Vega-Lite API Largest 5 Countries Bar Chart

This bar chart visualizes the top five countries by population in 2015, using a dataset from a GitHub-hosted CSV file. The chart reads the data with the D3.js `csv` function and renders bars through the Vega-Lite API, a JavaScript wrapper for Vega-Lite specifications. It encodes country values on the x-axis and population on the y-axis, with tooltips displaying exact population figures. The visualization is configured with custom styling, including larger fonts and a dark color scheme, and uses the Vega and Vega-Lite libraries alongside the Vega Tooltip handler for interactive hovering.

Nov 18, 2023

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Vega-Lite API Temperature Area Chart

This example visualizes weekly temperature data for San Francisco as a smooth area chart, with the y-axis mapping temperature values and the x-axis representing timestamps. It demonstrates the Vega-Lite API by programmatically constructing a chart specification using its method chaining, including `vl.markArea`, `vl.x().fieldT`, and `vl.y().fieldQ`. The visualization is rendered via Vega and Vega-Lite, with data loaded using d3.csv, and uses custom axis styling from a shared config plus a tooltip handler from Vega Tooltip.

Nov 18, 2023

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Vega-Lite API Temperature Line Chart

This example shows a line chart of San Francisco weekly temperatures over time, using a clean dark-on-light design with tooltips displaying exact values. The visualization is built entirely with the Vega-Lite API, which programmatically constructs a specification for a single line mark with encoded x and y fields from CSV data loaded via `d3.csv`. The code registers Vega, Vega-Lite, and the Vega-Lite API, then renders the chart as SVG fitted to the viewport, with custom axis and label styling from a shared config object.

Nov 18, 2023

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Vega-Lite API Template II

This example displays a scatter plot of the auto-mpg dataset, mapping engine displacement on the x-axis and horsepower on the y-axis, with vehicle names shown via tooltips. The visualization is built entirely through the Vega-Lite API in JavaScript, using `vl.markPoint` with opacity to show data density. It loads CSV data via D3’s `csv` function, configures axis and label styling in a separate `config.js`, and renders with Vega 5 and Vega-Lite 4. The chart auto-sizes to the window and uses the Vega Tooltip handler for interactive hover details.

Nov 18, 2023

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Vega-Lite API Template

This example visualizes the relationship between fuel efficiency (mpg), horsepower, weight, and country of origin for automobiles from the UCI Machine Learning Repository Auto MPG dataset. It displays a scatter plot where each circle’s position encodes mpg and horsepower, color encodes origin, and size encodes weight. The code uses the Vega-Lite API to build the chart declaratively, with the `vl.markCircle`, `vl.x()`, `vl.y()`, and `vl.color()` methods. It loads CSV data via D3’s `csv` function, registers Vega-Lite components, and renders an interactive SVG with tooltips.

Nov 18, 2023

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Loading Data with React & D3

This example demonstrates how to load and summarize CSS named colors data using React state and D3 utilities. The app fetches a CSV file via `d3.csv` and stores the parsed data in React’s `useState` hook, triggered by `useEffect`. While loading, it displays “Loading...”, then renders a `<pre>` element with a text summary generated by a custom `message` function, which uses `d3.csvFormat` to compute the data size in kilobytes, row count, and column count. The visualization is purely textual, showcasing the integration of D3’s data-loading and formatting capabilities within a React component lifecycle.

Nov 17, 2023

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Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote source, displaying the file size, row count, and column count of the CSS Named Colors dataset. The code uses `d3.csv` to fetch and parse the data asynchronously, then computes metrics using `d3.csvFormat` and the resulting data array’s properties. An alternative approach with the Fetch API, `async/await`, and `d3.csvParse` is also included in commented-out form. The parsed information is rendered into a large `<pre>` element, highlighting the simplicity of D3’s data-loading utilities.

Nov 17, 2023

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Mouse Follower

A React application renders an SVG circle that follows the mouse cursor across a 960 by 500 pixel canvas. The circle's position updates in real-time via React state and the `onMouseMove` event handler, reading the cursor's `clientX` and `clientY` coordinates. When the mouse leaves the SVG area, the circle returns to its initial centered position through the `onMouseLeave` handler. React 16.9's `useState` and `useCallback` hooks manage the state updates efficiently.

Nov 17, 2023

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Smiley Face Part II

The gallery displays a grid of 18 randomly generated smiley faces, each rendered as a yellow circle with black outline, two eyes, and an arc-shaped mouth. Built with React and D3 v5, it uses D3’s `arc` API to create the mouth path and React’s component structure to compose reusable `Face`, `Eyes`, `Mouth`, and `BackgroundCircle` elements. Each face’s dimensions and positions are randomized via `Math.random` in `index.js`, producing varied expressions within a fixed 160×160 SVG canvas. The example demonstrates data-driven SVG generation and component-based visualization in a React environment.

Nov 14, 2023