Skip to main content
SimilarExport ZIP
100%

HTML Starter

✓ Published1🌍 Public
Ttheodasilva
Last edited Apr 21, 2020
Created on Mar 10, 2020
Forked from HTML Starter

This example displays a horizontal bar chart of country populations using D3 v5. It loads data from a CSV file and appends SVG rectangles scaled by population values. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis categories, and `d3.axisLeft` to render the country labels. A margin-based layout shifts the bars via an SVG `<g>` transform, with a 1000-person offset added to each population value before rendering.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

HTML Starter

This example displays a horizontal bar chart of country populations using D3 v5. It loads data from a CSV file and appends SVG rectangles scaled by population values. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis categories, and `d3.axisLeft` to render the country labels. A margin-based layout shifts the bars via an SVG `<g>` transform, with a 1000-person offset added to each population value before rendering.

Ttheodasilva
100% match
Loading thumbnail…

HTML Starter

This example uses D3 v5 to render a horizontal bar chart of population data from a CSV file. The SVG canvas displays each country as a bar, with bar width proportional to population using a linear scale and bar position determined by a band scale. Data is loaded via D3’s `csv` function, and the chart is drawn by appending `rect` elements to the SVG. The code uses `scaleLinear`, `scaleBand`, and `max` from D3 to map values.

一一如既往
94% match
Loading thumbnail…

HTML Starter

This example displays a bar chart of country populations using a horizontal layout, with countries on the y-axis and population on the x-axis. The code loads data from `data.csv` and renders SVG rectangles through D3’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs. It uses `d3.csv` to parse the data, converts population values to numbers, and then draws the chart within a pre-defined SVG element. The visualization is a minimal starter template demonstrating D3 v5 with React.

Cckuchman
93% match
Loading thumbnail…

HTML Starter

This example shows a horizontal bar chart of population by country using a small CSV dataset. The code loads data with `d3.csv`, scales the population values, and renders SVG rectangles using `scaleBand` for the y-axis and `scaleLinear` for the x-axis. It uses `axisLeft` and `axisBottom` for tick marks, with a steelblue fill for bars. D3 v6 is imported from the npm package, and the chart is built imperatively by appending elements to an SVG container.

Nnouralkhoury
93% match
Loading thumbnail…

HTML Starter

This example shows a horizontal bar chart of population data for a list of countries, rendered as SVG rectangles. The chart scales bar width against the maximum population value and uses a band scale for the categorical country axis. It loads data from a CSV file using d3.csv and parses population values from strings to numbers. The implementation uses d3.scaleLinear, d3.scaleBand, and d3.max to compute the domain and range, and d3.select to append rectangles to the SVG.

Qquantum
93% match
Loading thumbnail…

HTML Starter

This example uses D3 v5 to render a horizontal bar chart of population data from a CSV file, with each country’s population shown as a steel-blue rectangle. The code loads `data.csv` using `d3.csv`, parses populations with `map`, and builds linear and band scales via `d3.scaleLinear` and `d3.scaleBand`. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and all shapes are drawn as SVG elements within a fixed 960×500 viewport.

DDanzeOnn
93% match
Loading thumbnail…

HTML Starter

This example displays a bar chart of population data for several countries, loaded from a CSV file. The bars are rendered as SVG rectangles, with a linear scale mapping population values to widths and a band scale mapping country names to vertical positions. The code uses D3 v6 methods such as `d3.scaleLinear`, `d3.scaleBand`, and `d3.axisLeft` to construct the visualization. The HTML page includes inline CSS and JavaScript, with the chart drawn entirely through D3’s selection and data-join pattern.

TTrustPaul
92% match
Loading thumbnail…

HTML Starter

This visualization displays a horizontal bar chart comparing population sizes across five countries, using a simple CSV dataset loaded from `data.csv`. The chart employs D3 v6 APIs including `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map population values to bar widths in an SVG canvas. A `<g>` element translates the chart within margins, and rect elements are bound to the data and styled with steelblue fill via the CSS file. The axis labels and bar heights are generated dynamically from the parsed data.

KKyo
92% match