Jeffrey Miiller

Temperature in San Francisco Line Chart

This example visualizes temperature fluctuations in San Francisco over a week using a line chart rendered as an SVG. The chart highlights the area beneath the temperature curve, with axes labeled for time and temperature. Built with React and D3, it uses `scaleTime`, `scaleLinear`, `area`, and `axisBottom`/`axisLeft` to map and draw the data, which is loaded from a CSV file via `d3.csv`. The visualization employs a maroon filled area to emphasize the temperature pattern across the week.

Jan 27, 2020

Temperature in San Francisco

This visualization displays a week of temperature readings in San Francisco, plotting each data point as a red, semi-transparent circle along time and temperature axes. The chart includes labeled axes for Time and Temperature, with a title and grid lines. The code uses D3 v5 APIs including `d3.csv`, `d3.scaleTime`, `d3.scaleLinear`, `d3.axisLeft`, and `d3.axisBottom` to load data from a CSV file and render the SVG chart within a React-based framework.

Jan 27, 2020

Temperature in San Francisco

This example shows a scatterplot of cars, comparing horsepower on the x-axis against weight on the y-axis, with each point representing a vehicle. The code uses d3.csv to load the data, d3.scaleLinear to map values to pixel coordinates, and d3.axisLeft and d3.axisBottom to render labeled axes with gridlines. Circles are drawn via D3’s data join, styled with red fill and opacity. The visualization is rendered as an SVG within a React framework, with margins and a title included.

Jan 27, 2020

Cars Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for a collection of cars, with each point representing an individual vehicle. The chart uses D3.js to load data from a CSV file, map the horsepower and weight columns to linear scales, and render red, semi-transparent circles within an SVG element. Axis tick marks and labels are generated using `axisBottom` and `axisLeft`, while styled text elements provide the chart title and axis descriptions.

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, using a linear scale for the x-axis and a point scale for the y-axis. It renders as SVG circles within a React framework, loading data from a CSV file. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom`, with gridlines and custom tick formatting to abbreviate large numbers.

Customizing Axes

A horizontal bar chart displays the top 10 most populous countries from a CSV dataset. The chart customizes both axes, removing default domain lines and tick marks on the y-axis while applying a custom tick formatter that converts values like "1.41G" to "1.41B" on the x-axis. Built with React and D3 v5, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render SVG bars with gridlines and axis labels.

D3

This example shows a horizontal bar chart of population data for ten countries, with population values scaled by a factor of 1,000. The visualization uses D3 v5 to load the CSV, create linear and band scales, and render SVG rectangles with axes. The code demonstrates `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and the chart is built within a React context, with the SVG element targeted by `d3.select`. The bars are styled with steelblue fill, and axes are labeled with a custom font size.

D3

A yellow circle with eyes, eyebrows, and a mouth forms a smiling face, rendered as SVG elements. The right eyebrow animates upward and back down over four seconds using D3 transitions. The face is centered in a 960×500 viewport, with the mouth drawn via the `arc` generator and all shapes grouped and translated using D3's `select` and `append` methods. The animation runs in an infinite loop, triggered by chained `transition().duration()` calls on the eyebrow rectangle.

Cars Report

This example displays the text “jeff” in large type on a blank page, sourced from the `jeffCars` dataset exported from `cars.js` via a JSON string. The visualization uses a plain HTML `<pre>` element to render the message, populated by JavaScript through the DOM API `document.getElementById` and `textContent`. The React framework is referenced in metadata, though the visible code relies on standard browser APIs without additional libraries. The data and rendering are minimal, showing a single static text output with no interactive or dynamic behavior.

SVG and CSS Page

This example demonstrates basic SVG shape rendering and CSS styling within a single web page. It shows circles, rectangles, lines, and paths arranged in a simple composition, with some shapes using inline fill and stroke attributes while others inherit styles from grouped elements. The code uses native HTML5 SVG elements like `<circle>`, `<rect>`, `<line>`, and `<path>`, along with the `transform` attribute to reposition grouped content. Styling is handled through a separate `main.css` file, though the visible page relies primarily on SVG presentation attributes for its visual output.

HTML Cars Report

This example presents a simple HTML cars report that lists three used vehicles with their model years, names, and prices. The page uses plain HTML elements—a heading, an unordered list, and list items—styled with CSS, where the body is set to a large monospace font and one list item is highlighted in red via the `.highlighted` class. No JavaScript or data-binding libraries are involved; it relies solely on static markup and CSS for its visual presentation.