Fork of D3 Starter

100%

Fork of D3 Starter

✓ Published0🌍 Public

Last edited Oct 27, 2021

Created on Oct 26, 2021

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.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of D3 Starter

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.

SSudipta-15

91% 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

87% 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

87% match

Loading thumbnail…

Fork of Let's Make a Face with D3.js!

This horizontal bar chart displays population figures for ten countries, with each bar’s length scaled linearly from zero to the maximum population. The visualization loads data from a CSV file using `d3.csv`, converts population values to thousands, and renders SVG rectangles with `scaleLinear` and `scaleBand` for positioning. Axes are generated via `d3.axisLeft` and `d3.axisBottom`, while D3 v5’s selection and data-join methods bind the dataset to the graphic.

JJordan Arnold

87% match

Loading thumbnail…

Fork of bargraph d3

A horizontal bar chart displays country populations with bars extending rightward from the y-axis. The example loads data from a CSV file and renders it as SVG rectangles using D3 version 6. It employs `d3.scaleLinear` for the x-axis population scale, `d3.scaleBand` for the categorical y-axis, and `d3.csv` to parse the data. The visualization demonstrates basic data binding and SVG attribute manipulation with `selectAll` and `enter` selections.

FForemost123

87% match

Loading thumbnail…

Fork of Bar Chart using D3

This horizontal bar chart displays population figures for ten countries using a forked D3 example. The visualization maps country names to the y-axis with a band scale and population values to the x-axis with a linear scale. The code imports specific D3 modules like `select`, `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data from a CSV file and render SVG rectangles with steelblue fills. Axes are generated using D3’s axis components, with margins applied around the chart area.

Aalisha-zemoso

86% match

Loading thumbnail…

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

A horizontal bar chart displays population data for ten countries, sorted by size, using SVG rectangles. The visualization builds scales with `d3.scaleLinear` and `d3.scaleBand`, adds axes via `d3.axisLeft` and `d3.axisBottom`, and loads the dataset from a CSV file using `d3.csv`. Population values are multiplied by 1000 before rendering, and the chart is positioned with margins and a translated group element. The example demonstrates basic data binding and SVG manipulation with D3 v5.

KKiara

86% 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