Philippe Rigovanov

@a1ip·10 public vizzes

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL, displaying summary statistics about the dataset. It uses d3.csv to fetch the CSS Named Colors data, then reports the file size in kilobytes, the number of rows, and the number of columns. The code includes commented alternatives using fetch, async/await, and d3.csvParse, along with a nested promise example, to illustrate different approaches to handling asynchronous data loading. The final result appears as large text in a pre element.

Jun 15, 2020

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Smiley Face Part II

This example renders a smiley face in SVG using React components alongside D3’s `arc` generator for the mouth. The face consists of a yellow circle with a black stroke, two static eye circles, and a curved mouth path positioned via a centered `<g>` transform. The code builds the visualization declaratively in React, leveraging D3 v5’s `arc()` to compute the mouth’s path, while hardcoded dimensions and offsets define the layout. It demonstrates a hybrid approach where React manages the DOM structure and D3 supplies geometric calculations.

Jan 29, 2020

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Smily Face Part I

A large yellow circle with a black outline forms the base of a stylized smily face, with two smaller solid black circles positioned as eyes. The example demonstrates basic SVG shape rendering using the `<circle>` element within an inline SVG. The static scene is constructed directly in markup—no JavaScript or data binding libraries are involved—and relies on SVG presentation attributes for fill, stroke, and stroke width. The layout is fixed at 960 by 500 pixels, centered on the canvas.

Jan 16, 2020

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World Population Area Chart

This area chart displays world population trends over time using data from the 2017 UN World Population Prospects, with the x-axis representing time and the y-axis showing population in billions. A smooth basis curve fills the area under the line, while axis labels and tick formatting customize the presentation. The visualization relies on D3 v5 APIs including `scaleLinear`, `scaleTime`, `area`, `curveBasis`, `axisLeft`, and `axisBottom`, rendering as SVG within a single chart.

Jan 6, 2020

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Temperature in San Francisco Line Chart

This line chart displays one week of temperature in San Francisco, with time on the x-axis and temperature on the y-axis. The code uses D3 v5’s `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and a `line` generator with `curveBasis` to render the smooth path in SVG. Data is loaded from a CSV via `d3.csv` and parsed into `Date` and numeric values. The chart includes axis labels, grid lines, and a title, with data sourced from Data Canvas - Sense Your City.

Jan 6, 2020

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Cars Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for cars from the UCI Machine Learning Repository’s Auto MPG dataset, with each red semi-transparent circle representing a single vehicle. The visualization uses D3 v5’s `scaleLinear`, `axisLeft`, and `axisBottom` to map the data to SVG coordinates, drawing axes with tick marks and labeled titles. Axis padding and margins position the plot, while CSS controls circle opacity and font styling. The code loads data via `csv` from a remote URL, converting numeric fields before rendering the scatter plot with D3’s data join.

Jan 6, 2020

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Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The example demonstrates customizing D3 v5 axes, including removing axis domain lines and tick lines from the y-axis, formatting x-axis tick labels with the `format` function, and adding custom axis labels and a title. Data is loaded from a CSV file and rendered as SVG rect elements, with scales created using `scaleLinear` and `scaleBand`.

Jan 6, 2020

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Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The chart uses D3 v5 with SVG rendering, employing `scaleLinear` and `scaleBand` for positioning, and customizes the axes with `axisLeft` and `axisBottom`. Population values are loaded from a CSV file and formatted with a custom tick format that abbreviates large numbers. The visualization also includes axis labels and a title, with gridlines created through the x-axis tick size.

Jan 5, 2020

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Locations of Datavis 2020 Students

A world map displays the rough geographic distribution of students enrolled in Datavis 2020, based on locations mentioned in their Slack introductions. Each green circle marks a student’s reported physical location, with broader regions represented by their centroids. The visualization uses React and D3 v5, employing `geoNaturalEarth1` and `geoPath` to render landmasses, graticules, and country boundaries from TopoJSON data. Circle positions are projected from latitude and longitude coordinates loaded from a CSV, with styling applied through SVG elements and CSS classes.

Jan 3, 2020

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Let's make a face with D3.js!

A yellow smiley face with animated eyebrows is rendered in SVG using D3.js. The face is constructed from basic SVG shapes: circles for the eyes, rectangles for the eyebrows, and an arc path for the mouth. The code uses D3 selections (`select`, `append`) and the `arc` generator, with `transition().duration()` to move the eyebrows up and down. The animation runs once, lifting the eyebrows 50 pixels and then returning them to their original position, demonstrating fundamental DOM manipulation with D3 v5.

Jan 2, 2020