Audrey

@aaz25·11 public vizzes

Fork of Scatter Plot with Color Legend

This example visualizes the Iris dataset as an interactive scatter plot, with dropdown menus to select which sepal or petal measurements appear on the x and y axes. Points are color-coded by species using an ordinal scale, with a legend mapping each species to its corresponding color. The visualization is built as a React application that fetches data with d3.csv, uses d3.scaleLinear for positioning and d3.scaleOrdinal for color, and renders axes and marks as SVG elements via custom React components.

Nov 29, 2021

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Montana Map

This map displays the state of Montana with its counties shaded in gray, overlaid with semi-transparent teal circles marking the locations of eight hospitals. The map uses a d3.geoAlbersUsa projection and d3.geoPath to render the state boundaries from TopoJSON data provided by the US Atlas. Hospital coordinates are hardcoded in the React component and plotted as SVG circles. The visualization is built with React and D3 v5, rendering all elements as SVG.

Jul 26, 2021

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World Map

This visualization presents a world map using D3's geoNaturalEarth1 projection, rendering landmasses in teal with country borders highlighted and graticules overlaid on a light gray sphere. The data comes from the World Atlas TopoJSON dataset (countries-50m.json), processed with topojson’s feature and mesh functions. React manages the SVG output, while D3’s geoPath and geoGraticule construct the geometric paths. The map emphasizes clean, minimalist styling with muted colors, illustrating global geography through a responsive, interactive-free interface.

Jul 26, 2021

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Points on a Map

This example visualizes global population distribution by plotting cities as semi-transparent points on a natural Earth projection map. The map includes graticules, landmasses, and country borders, with each circle’s radius scaled proportionally to its city’s population using `d3.scaleSqrt`. The visualization uses `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule` for geographic rendering, with React managing state and SVG elements for drawing. The underlying city data comes from the Data Canvas Sense Your City dataset, loaded via `d3.csv`, while world topology is fetched from the World Atlas TopoJSON file and processed with `topojson.feature` and `topojson.mesh`.

Jul 20, 2021

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Interactive Color Legend

This interactive scatter plot of the Iris dataset allows users to explore relationships between four flower measurements by selecting X and Y axes via dropdown menus. A color legend for species on the right serves as a filter: hovering over a species name highlights its corresponding data points while fading the others to 20% opacity. The visualization renders SVG circles with React, using d3.scaleLinear and d3.scaleOrdinal for positioning and color encoding, with axis components built from d3 scale ticks.

Jul 20, 2021

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Scatter Plot with Color

This interactive scatter plot visualizes the Iris Dataset, letting users explore relationships between sepal and petal measurements across three flower species. Color encodes species, while dropdown menus dynamically select which attributes map to the x and y axes. Built with React and D3 v5, the visualization uses `scaleLinear` for axes, `scaleOrdinal` for categorical colors, and SVG circles rendered by custom React components. Axis components generate ticks and labels, while `csv` loads the remote dataset. A native SVG `<title>` element provides hover tooltips.

Jul 20, 2021

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Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes are plotted on the x- and y-axes via dropdown menus. The visualization uses React to manage component state and render SVG elements, with D3’s `scaleLinear`, `extent`, and `max` functions handling axis scaling and data mapping. Axis ticks and labels are generated through custom React components, while circles representing data points include tooltips using SVG `<title>` elements. The graph updates dynamically whenever the dropdown selections change.

Jul 20, 2021

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Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers select which attribute is plotted on the x-axis and y-axis, with the chart updating dynamically to reflect their choices. Built with React and D3 v5, the visualization renders points as SVG circles, using D3’s scaleLinear and extent for axis scaling. The code employs reusable components for axes, marks, and dropdowns, with axis labels and tick formatting courtesy of D3’s format function.

Jul 20, 2021

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Menus with React

This example demonstrates a React-based menu system for selecting a pet from a dropdown list, with the chosen value displayed in a large label. It uses React’s `useState` hook to manage the selected value and a custom `Dropdown` component that renders a `<select>` element. The component receives options, an id, the current value, and a change handler, allowing dynamic updates on user selection. The code relies on React 16.9 and ReactDOM to render the UI, with options listed as objects containing value and label pairs. The example shows stateful form interactions in a minimal, unstyled layout.

Jul 20, 2021

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React Starter

This React starter example renders the text “Hello React!” inside a web page. The code uses the React and ReactDOM libraries to create and mount a simple functional component into a `div` with the ID `root`. The page is styled with a margin reset and hidden overflow. No data is loaded or visualization created; it demonstrates the basic setup for building React-based visualizations.

Jul 20, 2021

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Smiley Face Part I

A yellow smiley face is drawn on an SVG canvas, consisting of a large circular head, two small eyes, and an arc-shaped mouth. The visualization uses React to define the SVG elements and D3’s `arc` function to generate the mouth path with specified inner and outer radii and angular start and end points. The head’s size and position are derived from the canvas dimensions, with hardcoded offsets for the eyes and mouth, while stroke width and fill colors are set via SVG attributes. The rendering relies on React’s `ReactDOM.render` to place the component into the DOM.

Mar 15, 2021