shungshung

@shungshung·7 public vizzes

Cars Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for cars from the auto-mpg dataset, with each circle representing a vehicle. The chart uses D3 v5’s `scaleLinear`, `axisBottom`, and `axisLeft` to construct axes with gridlines, and renders the points as SVG circles with steelblue fill and partial opacity. Data is loaded via `d3.csv` from an external URL and parsed into numeric values, while margins and inner dimensions position the plot within a 960x500 SVG canvas.

Feb 23, 2020

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Scatter Plot

This scatter plot displays the populations of the top ten most populous countries, using a linear x-axis for population values and a point scale on the y-axis for country names. It loads data from a CSV file and renders circles with D3 v5’s `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` APIs. The visualization features gridlines, formatted tick labels (converting billions to “B”), and an axis title, all drawn as SVG elements with a steel-blue fill for the data points.

Feb 23, 2020

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Customizing Axes

This example shows a horizontal bar chart ranking the top 10 most populous countries, with population values scaled and formatted in billions. It demonstrates customized axes: the y-axis removes its domain and tick lines, while the x-axis uses a tick format that abbreviates numbers (e.g., converting "G" to "B") and includes a translated label. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, rendering SVG rectangles with a steelblue fill. Data comes from a local data.csv file, processed by multiplying population values by 1,000.

Feb 23, 2020

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Making a Bar Chart

This bar chart displays the populations of ten countries, using horizontal bars sorted by population with a linear scale for the x-axis and a band scale for the y-axis. It loads data from a CSV file and renders SVG rectangles via D3 v5, using `select`, `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `max` to construct the chart with margins and axes.

Feb 23, 2020

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Let's make a face with D3.js!

This example builds a cartoon face from basic SVG shapes using D3.js, with a yellow circle for the head, two eyes, and an arc-based mouth. The code uses `d3.select` to target the SVG, `d3.arc` to generate the mouth path, and chained `transition().duration()` calls to animate the right eyebrow rising and falling over two seconds. The face is centered by translating a group element, and all shapes are drawn with SVG attributes like `cx`, `cy`, and `r`.

Feb 11, 2020

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Shapes with SVG and CSS

This example demonstrates basic SVG shapes—circles, rectangles, lines, and paths—styling them with both inline attributes and a CSS stylesheet. The shapes appear in two groups, with the lower set offset vertically to show filled versus stroked variants, while a separate group uses a CSS class to control stroke color and line joins. The page renders static SVG elements in a React-less HTML file, using plain SVG markup with transformations like `scale` and `translate` to position and duplicate shapes. No interaction or data binding occurs; the visualization purely illustrates SVG drawing primitives and CSS styling.

Feb 9, 2020

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HTML Cars Report

This example displays a simple list of used cars with prices in plain HTML, rendered in a monospace font. It uses static markup and CSS to highlight one item in red, utilizing the `class` attribute and `styles.css` for styling. The page structure relies on standard HTML elements like `h1` and `ul`, with no JavaScript or external charting libraries involved. The data is hardcoded directly in the HTML, reflecting a minimal reporting approach with React as the underlying framework.

Feb 9, 2020