Alex Reitz

@Alex-Reitz·8 public vizzes

World Countries Tree

This visualization displays the hierarchical structure of world countries organized by continent and subregion using a tree layout. It reads a nested JSON data file and renders the hierarchy as horizontal links with country names positioned along the branches using SVG elements. The implementation uses D3 v5's `tree()` and `hierarchy()` functions, with `linkHorizontal()` for path generation and `zoom()` for panning and scaling. Text styling employs Playfair Display with white shadows for readability against the teal link strokes.

Apr 8, 2020

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Let's make a map with D3.js!

This example displays a world map in D3.js using the Natural Earth projection (geoNaturalEarth1) and draws country boundaries as SVG paths. It begins by rendering a blue sphere backdrop, then loads geographical data from the world-atlas package via a JSON request. The topojson library’s feature function extracts country geometries, which are then projected and drawn as light green filled paths with subtle black strokes using d3.geoPath. The map is rendered entirely as vector SVG elements, demonstrating a basic choropleth setup with static styling.

Apr 1, 2020

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Temperature in SF Area Chart

This area chart visualizes a week of temperature readings in San Francisco, with the filled path showing temperature fluctuations over time. The visualization uses D3 v5 with SVG rendering, employing `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.area` with `curveBasis` to generate the smooth filled shape. Data comes from a CSV file of timestamped temperature values, and the chart includes labeled axes, gridlines, and a title.

Mar 28, 2020

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Temperature in SF

This visualization shows a week of temperature readings in San Francisco, with time on the x-axis and temperature on the y-axis. A smooth maroon line connects the data points, overlaid with axis tick marks and labels. The code uses d3.csv to load the dataset, d3.scaleTime and d3.scaleLinear for scaling, d3.axisBottom and d3.axisLeft for axes, and d3.line with curveBasis to generate the curve. The SVG rendering includes grid lines via tickSize and rotated axis labels, with a title displayed above the plot.

Mar 28, 2020

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Cars Scatter Plot

This example visualizes the relationship between horsepower and weight for cars, plotting each vehicle as a semi-transparent red circle. The data comes from the auto-mpg dataset loaded via D3’s `csv` function. Using D3 v5 scales and axes, the scatter plot encodes horsepower on the x-axis and weight on the y-axis, with labeled axis titles and a header. The chart uses `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` APIs to map values and render the grid lines, all drawn as SVG elements.

Mar 27, 2020

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Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with each circle’s position on the x-axis representing population size and the y-axis ordering countries by name. The visualization uses d3.csv to load population data in thousands, d3.scaleLinear and d3.scalePoint to map values, and d3.axisLeft and d3.axisBottom to render axes with tick formatting that converts large numbers to abbreviated labels. SVG circles are appended to the chart, with an axis grid created via tickSize, and a title labeling the chart’s purpose.

Mar 27, 2020

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Customizing Axis

This bar chart displays the populations of the top 10 most populous countries using a horizontal layout, with country names on the y-axis and population totals on the x-axis. The chart uses d3.csv to load data from a local CSV file and renders with SVG. The code customizes the axes through d3.axisLeft and d3.axisBottom, applying a custom tick format that converts values from G to B, and removes gridline domains. A title and axis label are added as SVG text elements.

Mar 26, 2020

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Making a bar chart

This example shows a horizontal bar chart ranking the populations of the ten most populous countries, using data from a CSV file where values are multiplied by 1000. The visualization uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to map population to bar widths and country names to y-axis positions, rendering the bars as SVG rectangles. Axes are appended via `call`, and the chart is drawn within a fixed 960x500 SVG canvas with margins.

Mar 25, 2020