Neurohackweek 2017 D3 Tutorial

100%

Neurohackweek 2017 D3 Tutorial

✓ Published0🌍 Public

Last edited Aug 31, 2017

Created on Aug 31, 2017

A gentle introduction to D3.js for neuroimaging novices, this tutorial walks through creating a basic bar chart with HTML and CSS. The example starts with a "Hello World" heading and builds a simple bar visualization using styled div elements, with steelblue bars and white text labels. It demonstrates core D3 concepts through a minimal, animation-free example, accompanied by the D3 library (v4.10.0) from a gist.

AI-generated description

Similar vizzes

Loading thumbnail…

Neurohackweek 2017 D3 Tutorial

This animation demonstrates a D3.js tutorial from Neurohackweek 2017, featuring a simple bar chart visualization with a "Hello World" heading. The page loads d3.min.js v4.10.0 and uses CSS-styled bars with steelblue backgrounds, white text, and right-aligned labels. The visualization renders as a static bar chart without interactive transitions, serving as an introductory example of D3’s data-binding and styling capabilities.

Aakeshavan

95% match

Loading thumbnail…

Neurohackweek 2017 D3 Tutorial

This animated D3.js tutorial demonstrates how to build a simple bar chart with a "Hello World" header. The visualization uses div-based bars with a steelblue background, styled via CSS classes, and likely animates bar heights to illustrate data binding and update patterns. It serves as an introductory example for Neurohackweek 2017, showing basic D3 v4 usage for creating and animating DOM elements with data.

Aakeshavan

95% match

Loading thumbnail…

Neurohackweek 2017 D3 Tutorial

This animated D3.js tutorial from Neurohackweek 2017 demonstrates a simple bar chart visualization. The page renders a series of horizontal steelblue bars with white text labels, built using D3 version 4.10.0. The visualization displays "Hello World" as a header with styled bar elements, using the bar class to apply background colors, margins, and text alignment. The animation is driven by D3's enter/update/exit data join pattern, where the bars respond dynamically to data changes. The code showcases fundamental D3 concepts including data binding, DOM manipulation, and CSS-styled SVG or HTML elements for building interactive visualizations.

Aakeshavan

94% match

Loading thumbnail…

Neurohackweek 2017 D3 Tutorial

An interactive bar chart demonstrates D3.js data binding and transitions. The visualization renders an array of numeric values as horizontal bars, with buttons to add, remove, or randomize data points. Hovering changes a bar’s color, while clicking enlarges it by 50% with a bounce easing effect. The code uses `d3.select`, `.data()`, `.enter()`, `.exit()`, and chained `.transition().duration(1000)` methods to animate bar widths and opacity. Mouse events (`mouseover`, `mouseout`, `click`) trigger style changes and re-bind updated data, showing dynamic updates in a div-based layout with CSS classes.

Aakeshavan

88% match

Loading thumbnail…

Neurohackweek 2017 D3 Tutorial

This animation, from a Neurohackweek 2017 tutorial, uses D3.js version 4.10.0 and jQuery 3.2.1. The visualization demonstrates D3's data-binding and transition capabilities by animating elements in response to data changes, leveraging D3's scales, axes, and selection methods to create an interactive and dynamic representation of data.

Aakeshavan

85% match

Loading thumbnail…

Neurohackweek 2017 D3 Tutorial

Five hardcoded numeric values render as a row of horizontal steel-blue bars using D3’s data join with `<div>` elements. On page load, each bar transitions its width from zero to its data value over one second. Hovering changes a bar’s background to black; clicking triggers a bounce-eased transition that enlarges the bar by 50% and updates the underlying array. The example demonstrates basic D3 v4 selection, `.transition()`, `.duration()`, and event handling with `mouseover`, `mouseout`, and `click`.

Aakeshavan

85% match

Loading thumbnail…

Neurohackweek 2017 D3 Tutorial

A scatter plot displays four data points with x-values ranging from 0.5 to 2.9 and y-values from 5.2 to 20. The example uses D3.js version 4.10 to create an SVG visualization, employing `d3.scaleLinear` for both axes and `d3.axisBottom` and `d3.axisLeft` to render the tick marks. Margins are defined around the 500x300 pixel plotting area, with axes positioned at the bottom and left edges of the chart. The code demonstrates a basic D3 tutorial setup, showing how to map data values to pixel coordinates and append axis groups to an SVG element.

Aakeshavan

82% match

Loading thumbnail…

Neurohackweek 2017 D3 Tutorial

This example demonstrates a basic scatter plot with axes, built using D3.js version 4.10. The plot displays four data points with x and y coordinates, and the axes are generated using `d3.axisBottom` and `d3.axisLeft` with linear scales (`d3.scaleLinear`). The code defines helper functions for adding, removing, and randomizing data points, though these are not invoked in the visible script. The SVG rendering is set up with explicit margins and dimensions, and the plot is appended to an element with the ID `scatterArea`. The data is hardcoded as an array of objects, and the visualization is rendered entirely in the browser.

Aakeshavan

81% match