Alain Jennotte

@plicplic·8 public vizzes

Cars Scatter Plot

A scatter plot visualizes the correlation between 2019 election results and average income across Belgian municipalities, with each point representing a commune. The chart uses D3 v5's `scaleLinear`, `axisLeft`, and `axisBottom` to render SVG axes and circles, while a dropdown menu generated by a custom `dropdownMenu` function allows filtering by party. Data comes from a local CSV of election and income figures.

Jun 12, 2019

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, displaying car attributes as circles. Users select which data columns to map to the X and Y axes using dropdown menus, with the chart animating transitions between selections. Built with D3 v5, the visualization uses `d3.csv` for data loading, `d3.scaleLinear` for axes, `d3.axisLeft` and `d3.axisBottom` for ticks, and SVG rendering. The custom `dropdownMenu` component handles menu creation, while the scatter plot animates circle positions over two seconds.

Jun 12, 2019

Loading thumbnail…

Making a bar chart

A bar chart displays the GDP of ten countries, with countries on the y-axis and GDP values on the x-axis. The chart uses d3.scaleLinear for the x-scale and d3.scalePoint for the y-scale, rendering circles instead of bars via SVG. Axes are generated with d3.axisLeft and d3.axisBottom, while GDP labels are formatted using d3.format with a custom tick format. Data is loaded from a CSV file using d3.csv, and the visualization is styled with CSS for tick text and axis labels.

Jun 11, 2019

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization renders each country as a single steelblue rectangle on an SVG canvas. Built with D3 v5, the code loads data from a CSV file and uses the `d3.scaleBand` and `d3.scaleLinear` APIs to map country names to the x-axis and population values to the y-axis, respectively. The chart is minimal, with no axes or labels, focusing solely on the relative bar heights.

Jun 11, 2019

Loading thumbnail…

Cars Scatter Plot

This scatter plot visualizes the relationship between horsepower and weight for a dataset of cars, sourced from the UCI Machine Learning Repository’s Auto MPG data set. Each point represents a car, plotted with its horsepower on the x-axis and weight on the y-axis, with a fixed circle radius for all points. The visualization is rendered using D3 version 5, employing SVG elements and the `scaleLinear`, `axisLeft`, `axisBottom`, and `extent` functions to construct the axes and scales. The data is loaded from a CSV file and parsed into numeric values before being mapped to the chart’s coordinates.

Jun 9, 2019

Loading thumbnail…

Making a bar chart

This bar chart displays the population of the ten most populous countries, using horizontal bars to compare values across nations. The visualization renders data from a CSV file as SVG elements, with d3.scaleLinear and d3.scaleBand mapping population and country names. Axes are generated using d3.axisLeft and d3.axisBottom, with tick labels formatted using d3.format to abbreviate numbers.

Jun 9, 2019

Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization customizes D3 axes by removing default domain lines, adding grid lines via tick sizes, and formatting population values with `d3.format` to abbreviate numbers (e.g., converting G to B). It uses `d3.scaleLinear` for the x-axis, `d3.scalePoint` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` to render the customized axes in SVG.

Jun 7, 2019

Loading thumbnail…

Let's make a face with D3.js!

This example uses D3.js v5 to build a smiley face from basic SVG shapes. A yellow circle forms the head, with two smaller circles for eyes, rectangular eyebrows, and an arc-based mouth. The eyebrows animate by translating up and down in a loop using chained `transition()` calls with 2-second durations. The code demonstrates fundamental DOM manipulation via D3 selections, `append()`, and `attr()`, while the `arc()` generator from D3’s shape module creates the mouth path. All elements are centered using a translated SVG `<g>` group.

Jun 7, 2019