Skip to main content
SimilarExport ZIP
100%

HTML Starter

✓ Published0🌍 Public
ZZaynaib (Ola) Giwa
Last edited Jan 4, 2020
Created on Jan 4, 2020
Forked from HTML Starter

This example displays a simple bar chart of country populations using D3, with steelblue bars that turn brown on hover. The chart reads from a local `data.json` file containing country names and population values, though the HTML page itself initially renders "Hello HTML" in large text. The code sets up SVG margins and axes within an HTML starter template, using D3's bar and axis APIs to visualize the data. The page serves as a bare minimum starting point for HTML-based visualizations.

AI-generated description

A bare minimum HTML page.

See also React Starter.

MIT Licensed

Similar vizzes

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
89% match
Loading thumbnail…

HTML Starter

This example demonstrates a simple bar chart of country populations using D3 v5 within a React framework, rendered as SVG. The chart maps population values to bar widths via a linear scale and country names to vertical positions via a band scale, with axes generated by `d3.axisLeft`. Data is loaded from a CSV file using `d3.csv`, parsed into numeric values, and appended as rectangles to the SVG container. The visualization shows a clear horizontal bar comparison across ten countries, with styling handled by an external stylesheet.

SSumit Gupta
88% match
Loading thumbnail…

HTML Starter

This example renders a horizontal bar chart of country populations using SVG and React. The code loads population data from a CSV file with d3.csv and scales the values using d3.scaleLinear and d3.max to map population counts to pixel widths. It sets up an SVG canvas with fixed dimensions and prepares scales for the axes, though the actual chart bars and axes are not fully drawn in the shown code. The visualization uses d3.v5 within a React framework, with the HTML page linking to the D3 library via a CDN.

Mmatt-godfrey
88% 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
88% match
Loading thumbnail…

HTML Starter

This example shows a simple bar chart of population by country, rendered as an SVG using D3 v6. The chart maps population values to bar widths with `d3.scaleLinear` and country names to vertical bands with `d3.scaleBand`. Data is loaded from a CSV file using `d3.csv`, parsed into numbers, and then appended as `rect` elements to an SVG. The code demonstrates a bare-bones HTML page combining inline CSS, JavaScript, and D3 to create a static visualization.

TTrustPaul
88% 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
87% match
Loading thumbnail…

HTML Starter

This example shows a bar chart of population data for several countries, rendered as SVG rectangles. The visualization loads data from a CSV file using `d3.csv`, converts population values to numbers, and maps them to bar widths with `d3.scaleLinear`. Country names are mapped to vertical positions using `d3.scaleBand`, though the range is left empty. The code appends a static SVG canvas and rects without explicit x or y positioning, leaving the chart incomplete. It demonstrates a minimal HTML page combining D3 v6 and vanilla JavaScript.

TTrustPaul
87% match
Loading thumbnail…

HTML Starter

A bare HTML page with a single SVG element is the foundation of this starter example. The JavaScript uses D3's `select`, `csv`, `scaleLinear`, `max`, and `scaleBand` functions to load population data for 22 countries from `data.csv`. The chart is intended to render horizontal bars with country names on the y-axis and population on a linear scale, though the current code only appends static 300-pixel squares. The example demonstrates a minimal D3 setup within a React environment, serving as a template for more complex visualizations.

Mmatt-godfrey
86% match