Fork of D3 Starter

100%

Fork of D3 Starter

✓ Published0🌍 Public

Last edited May 23, 2022

Created on May 23, 2022

This fork of the D3 Starter demonstrates a minimal bar chart that displays population data for several countries, sourced from a local CSV file. The visualization maps each country to a rectangle, with the height and width fixed while the data is read and logged. Built with d3.v7, the example uses `csv`, `scaleLinear`, `max`, and `select` APIs to parse data and prepare scales, though the rendered rectangles do not yet reflect the data values. The chart is drawn as SVG within a 960x500 canvas, with the data population values multiplied by 1000 during preprocessing.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of D3 Starter

A horizontal bar chart displays population figures for nine countries, sourced from an embedded CSV file. The bars render as SVG rectangles, with each country's population scaled linearly along the x-axis and country names positioned using a band scale on the y-axis. The code uses d3.csv to load the data, d3.scaleLinear for the width mapping, d3.scaleBand for categorical spacing, and d3.select to append the rectangles.

Mminaadel6600

91% match

Loading thumbnail…

Fork of HTML Starter

This example displays a static bar chart of country populations, reading from a CSV file with `d3.csv` and rendering rectangles with `d3.selectAll` and `data.join`. It uses D3 v7 within a plain HTML page, with data loaded asynchronously and converted to numbers. The visualization demonstrates basic data binding and SVG shape creation, though the rendered bars are all fixed at 300 by 300 pixels, so the chart does not reflect population values visually.

Vvoid-LSTM

87% match

Loading thumbnail…

Fork of D3 Bar

This fork of D3 Bar renders a bar chart of population data from a CSV file, displaying ten countries with their population counts scaled by a factor of one thousand. The visualization uses D3 v7, specifically importing `select`, `csv`, `scaleLinear`, and `max` from the library. The code sets up a linear scale mapping population values to a fixed width, though the bars are drawn with hardcoded 300-by-300 pixel dimensions rather than using the scale proportionally. The chart is displayed in an HTML page with an embedded YouTube video demonstrating D3 version 6 usage.

PPhillip Yoo

86% match

Loading thumbnail…

D3 Starter

This example demonstrates a minimal bar chart template using D3, rendering four country population values as equal-sized squares. The SVG canvas is initialized with fixed dimensions, and the code loads data from a CSV file via `d3.csv`. Each rectangle is appended using the data join pattern (`.selectAll('rect').data(data).enter().append('rect')`), though all bars share the same 300×300 size. The visualization relies on D3 v6’s module imports, `select` and `csv`, to process the data and update the DOM without any scales or axes.

SSung Lee

86% match

Loading thumbnail…

Fork of Let's make a face with D3.js!

This bar chart displays population data for several countries, loading values from a CSV file. The visualization uses D3.js (v5) to map population to bar width on a linear scale, while country names are positioned on a band scale. Data is loaded asynchronously with `d3.csv`, and bars are appended as SVG `<rect>` elements through a data join with `selectAll` and `enter()`. The chart updates dynamically based on the parsed numeric population values.

Jjigarsoni0123

84% match

Loading thumbnail…

Fork of D3 Starter

This bar chart displays country values using D3 v7, with each country represented as a vertical bar on an SVG canvas. The visualization uses `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for tick rendering. Data comes from a static JavaScript array in `constants.js`. The chart includes rotated x-axis labels and an additional scrollbar implemented via a `foreignObject` element, though the scrollbar’s interaction is limited within the fixed-width SVG.

RRishav Nandi

84% match

Loading thumbnail…

Fork of SVG Starter

This bar chart displays population estimates for ten countries, ordered along the y-axis with population sizes extending horizontally. The visualization uses a CSV data source loaded via d3.csv, with d3.scaleLinear and d3.scaleBand for positioning. SVG rectangles are drawn and styled with steelblue, while d3.axisLeft and d3.axisBottom render the axes. The code leverages D3 v6 modules imported through ES6 syntax, applying margins and padding to structure the chart layout.

Rrajan1508

84% match

Loading thumbnail…

Fork of D3 Starter

A minimal starter template demonstrates loading a CSV dataset with D3 version 6. The page displays an empty SVG element and uses the `d3.csv` method to asynchronously fetch population figures for ten countries, logging the parsed array to the browser console. The body text is styled at an oversized 13em, though no visual marks or axes are drawn. The example relies solely on the core `select` and `csv` functions from the D3 library, with a separate `bundle.js` file containing the imported JavaScript logic.

Aamericosan86

84% match