Skip to main content
Log in
D

danielscheeper@gmail.com

@Ketskapow·13 public vizzes

Loading thumbnail…

Fork of Menus with React

This example shows how to build interactive dropdown menus with React. It defines a reusable `Dropdown` component that renders an HTML `<select>` element and maps an array of pet options into `<option>` tags. The app tracks the currently selected value with React state and uses `ReactDOM.render` to display the interface. The code also imports the `Dropdown` from a separate file and uses the `useState` hook to manage and log selection changes.

Jan 21, 2024
Loading thumbnail…

Line plot

This line plot shows how temperature varies over time in San Francisco, with data loaded from a CSV file and rendered as an SVG. The visualization uses React components to structure the chart, while D3 v7’s `scaleLinear`, `scaleTime`, and `line` with `curveNatural` generate the axes and smooth path. Temperature is plotted on the y-axis and timestamp on the x-axis, with circles marking each data point and native SVG `<title>` elements providing tooltips. Axis labels and ticks are created manually via reusable React components, and the styling uses Poppins font and a teal color scheme.

Jan 18, 2024
Loading thumbnail…

Line plot

This line plot visualizes the Iris dataset, comparing sepal length against sepal width for individual flower specimens. Each point is rendered as a circle mark, with axis ticks and labels generated from d3.scaleLinear scales. The visualization uses React components for the axes and marks, while d3.csv loads and parses the remote dataset. D3’s extent, max, and format utilities support scaling and tick formatting, and the SVG rendering includes interactive tooltips via the title element.

Jan 18, 2024
Loading thumbnail…

Scatter plot

This scatter plot shows the relationship between sepal length and sepal width for Iris flowers, with each circle representing a sample and a tooltip revealing its exact measurement. The visualization uses React components to render SVG axes and marks, with D3 v7 scales (`scaleLinear`), `extent`, and `format` handling data mapping and tick labels. Data loads asynchronously via `d3.csv` from a remote Iris dataset, and the chart includes rotated axis labels for clarity.

Jan 18, 2024
Loading thumbnail…

Stylized Bar Chart

A stylized bar chart displays the populations of ten countries in 2020, using data from the United Nations population dataset. Horizontal bars are rendered as SVG rectangles, with country names on the y-axis and population values on the x-axis, formatted in billions. The chart uses React with D3 v7, leveraging `scaleBand` and `scaleLinear` to map data, and custom axis components to render ticks.

Jan 18, 2024
Loading thumbnail…

Refactored bar chart

This example shows a horizontal bar chart displaying the top 10 countries by population for 2020, using data from a UN Population CSV file. It demonstrates a modular React component structure with separate files for axes, marks, and data loading. The chart renders as SVG using React elements, with a d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis. The code uses d3.csv for data fetching and parsing, and d3.max to compute the population domain.

Jan 17, 2024
Loading thumbnail…

Bar chart with margins&axes

This example visualizes the top 10 countries by 2020 population from a UN dataset as a horizontal bar chart. The React app loads CSV data with D3’s `csv` method, then uses `scaleBand` and `scaleLinear` to map countries and population values to SVG rectangles. Axes are drawn manually with `xScale.ticks()` for x-axis grid lines and labels, while y-axis country names are positioned using the band scale. The chart includes margins and a left-aligned plot area, rendered entirely as SVG.

Jan 17, 2024
Loading thumbnail…

Bar chart

This example displays the top 10 most populous countries for 2020 as a horizontal bar chart, using rectangular SVG elements scaled by population size. The data comes from a UN Population CSV file, loaded with `d3.csv`. React manages the component state and rendering, while D3 v7 provides `scaleBand` for country positions on the y-axis and `scaleLinear` for population on the x-axis, with `max` determining the domain.

Jan 15, 2024
Loading thumbnail…

Loading Data with React & D3

A React application demonstrates asynchronous data loading with D3 by fetching a CSV of CSS named colors and rendering them as a pie chart. The code uses React’s `useState` and `useEffect` hooks to load data via `d3.csv`, displaying a “Loading…” message until the data arrives. Each row becomes a slice using `d3.pie` and `d3.arc`, with fills derived from the `RGB hex value` column. The visualization shows all colors as equal-sized arcs in an SVG, with D3’s `arc()` and `pie()` generators handling the geometry.

Jan 12, 2024
Loading thumbnail…

Smileyface part 1

The visualization displays a grid of eighteen smiley faces, each rendered as a yellow SVG circle with black outlines, eyes, and a mouth. The faces are generated using React components that compose a `BackgroundCircle`, `Eyes`, and `Mouth` within a `FaceContainer`. D3’s `arc` generator creates the mouth path, while `d3.range` produces the array of faces. Randomized eye radii vary each face’s appearance slightly.

Jan 12, 2024
Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3’s `d3.csv` method, fetching a dataset of CSS named colors from a GitHub gist. It displays the file size in kilobytes, the row count, and the column count in a large `<pre>` element. The code relies on the Fetch API and async functions to retrieve the text, while D3 handles parsing and formatting the data, with all results rendered directly into the DOM.

Jan 12, 2024
Loading thumbnail…

Fork of Vega-Lite API Template

This visualization presents a scatterplot of automobile data, mapping weight to the x-axis and horsepower to the y-axis, with color encoding for country of origin and point size reflecting miles per gallon. Tooltips display the vehicle name. The code uses the Vega-Lite API, registering vega and vega-lite libraries, and loads CSV data asynchronously via d3.csv from a gist URL. Config settings customize axis and label appearance, while the view is rendered as SVG with fit sizing to the window.

Jan 11, 2024
Loading thumbnail…

Fork of Smiley Face Part II

A React application renders a single SVG circle that follows the mouse cursor across the viewport. The circle's center coordinates are updated via the `useState` hook and the `setMousePosition` callback, which reads the `clientX` and `clientY` properties from the `onMouseMove` event on the SVG element. Using React's declarative model, the circle is redrawn at the new position whenever the mouse moves, with its radius fixed at 30 pixels. The code imports React and ReactDOM to mount the app into the DOM.

Jan 10, 2024