kiyahw1

@kiyahw1·12 public vizzes

Friends Over the Years

This visualization displays the duration of friendships, measured in years, for a list of named individuals, with each person shown as a bar. The bars are sorted by the length of the friendship, with the longest at the top and the shortest at the bottom. The code uses D3 v5's `csv`, `scaleBand`, `scaleLinear`, and `axisBottom` APIs to load the data and render the SVG chart. Each bar’s height corresponds to the friendship length, while the x-axis labels identify each person’s name.

Jul 4, 2020

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Number of Data Science Classes by MIT Department

This bar chart displays the number of data science classes offered by the five MIT departments with the most courses, based on data from MIT’s course catalog. The visualization uses d3.scaleLinear and d3.scaleBand to map class counts and department names, with axes rendered via d3.axisLeft and d3.axisBottom. Bars are drawn as SVG rectangles, with Course 15 highlighted in red and others in black. Data is loaded asynchronously from a CSV file using d3.csv.

Jul 4, 2020

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HTML Starter

This example displays the text "Hello HTML" in a large, centered font as a minimal HTML page. The code uses plain HTML, CSS, and JavaScript, with inline styles setting the body to a 13em font size and text alignment. A script tag logs "Hello JavaScript!" to the browser’s console. It serves as a bare-bones starting point for web development, with no external libraries or frameworks.

Jul 1, 2020

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Cars Scatter Plot

This scatter plot displays the relationship between engine horsepower and cylinder count for various car models, with each circle representing a vehicle from the auto-mpg dataset. The visualization uses D3 v5 to load CSV data via `d3.csv`, scales the x-axis with `scaleLinear` and the y-axis with `scalePoint`, and renders circles as SVG elements. Axes are generated using `axisBottom` and `axisLeft`, with grid lines and tick styling applied through CSS classes. The chart is rendered in an SVG container and includes labeled titles and axis annotations.

Jun 25, 2020

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Scatter Plot

This scatter plot displays the population of the 10 most populous countries using 2019 estimates from the United Nations World Population Prospects. Circles are positioned along a linear x-axis for population values and a point-based y-axis for country names, with gridlines and axis labels. The visualization is built with D3 v5, using `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to render an SVG. The code loads data from a CSV file, multiplies population values by 1,000, and applies tick formatting that converts billions to a readable scale.

Jun 25, 2020

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Customizing Axes

This bar chart displays the populations of the ten most populous countries using 2019 data from the United Nations World Population Prospects. The visualization customizes both axes: the y-axis removes default domain and tick lines, while the x-axis applies a tick formatter that converts large numbers into abbreviated units, replacing 'G' with 'B' for billions. Built with d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, the SVG chart includes horizontal gridlines, a population label, and a title. Population values are multiplied by 1,000 to reflect the raw data.

Jun 25, 2020

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Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, using 2019 estimates from the United Nations World Population Prospects. The chart renders as an SVG, with countries on the vertical axis and population values on the horizontal axis. It is built with D3 v5, using `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` to draw the axes. Data is loaded from a CSV file and parsed with `d3.csv`, with population values multiplied by 1,000 to reflect actual figures.

Jun 24, 2020

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Let's Make a face with D3.js

A cheerful yellow SVG face is drawn using D3.js v5, with a circular head, eyes, eyebrows, and an arc-based mouth. The eyebrows animate vertically via `transition().duration(2000)`, moving down and up in a repeating sequence. The code uses D3’s `select` and `arc` helpers to construct shapes, with coordinates set relative to the SVG’s center. All elements are rendered as SVG primitives, and the animation demonstrates chained transitions on grouped elements.

Jun 24, 2020

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Let's Make a face with D3.js

A yellow circle forms a face with two black eyes, eyebrows, and an arc-shaped mouth. The eyebrows animate upward and then back down repeatedly using chained `transition` calls on a `<g>` element. Built with D3 v5, the example selects the SVG, centers a group, and constructs shapes with `circle`, `rect`, and `path` elements. The mouth uses the `arc` generator with specified inner and outer radii and angles, all rendered as static SVG with JavaScript-driven animation.

Jun 23, 2020

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Shapes wtih SVG and CSS

This example shows a set of basic SVG shapes—circles, rectangles, a line, and a path—arranged in a grid and styled through both inline attributes and CSS. The scene demonstrates how SVG elements inherit properties from parent groups, such as a filled and stroked `<g>` that applies black outlines, and a classed group that uses CSS to set stroke width and color. It uses raw SVG markup within an HTML document, with presentation controlled by a linked stylesheet.

Jun 23, 2020

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HTML Cars Report

This report displays a simple list of three used cars with their model years and prices, highlighting the 2012 Nissan Leaf in red. It uses plain HTML with a linked stylesheet, applying CSS to set the body font to a large monospace typeface and the `.highlighted` class to change text color. The example demonstrates basic HTML structure combined with CSS styling to present static data without any JavaScript or external libraries.

Jun 23, 2020

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Cars Report

This example displays a static "Hello World" message on a blank HTML page using React. The code writes the text into a `<pre>` element via `document.getElementById` and sets its `textContent`. The visualization is minimal, with no data source or graphical output, serving primarily as a starter template for building interactive visualizations in React. It relies on the browser’s DOM API rather than any charting or rendering libraries.

Jun 23, 2020