Fork of HTML Starter

100%

Fork of HTML Starter

✓ Published0🌍 Public

Last edited Mar 27, 2024

Created on Mar 27, 2024

This visualization shows football statistics as a line chart, plotting goals scored against matches played for a dataset loaded from a CSV file. The chart uses D3 v6’s `scalePoint` for the x-axis (matches played) and `scaleLinear` for the y-axis (goals), with a line generator drawing the trend. Axes are rendered via `axisLeft` and `axisBottom`, while the SVG is created and manipulated with `select` and `append`. The data, sourced from a remote CSV URL, is parsed to numeric values before rendering, and the final line is styled with a steelblue stroke.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Fork of HTML Starter

This visualization displays bar charts for Champions League team statistics, comparing goals, matches played, and wins. It employs a group bar chart where each team’s metrics are shown side-by-side in steelblue, orange, and green bars. The D3.js library (v7) is used for data parsing, aggregation, and rendering to SVG, with scales and axes built using `d3.scaleBand`, `d3.scaleLinear`, and `d3.axisBottom`/`d3.axisLeft`. The data is fetched from a CSV URL and aggregated via `d3.rollup`. The SVG renders bars, axes, and a legend within an 800x600 canvas.

66264kusuma@gmail.com

84% match

Loading thumbnail…

Fork of HTML Starter

This visualization presents a grouped bar chart of Champions League team statistics, comparing goals scored, matches played, and wins for each team. The code loads a CSV dataset from a GitHub gist, aggregates the data using d3.rollup and d3.sum, and renders three colored bars per team using SVG rectangles. D3 v7 handles the scales, axes, and legend, with x-axis labels rotated for readability. The chart uses d3.scaleBand for categorical positioning and d3.scaleLinear for the numeric y-axis, providing a clear side-by-side comparison of these metrics.

BBALAJI MANDAVA

83% match

Loading thumbnail…

Fork of HTML Starter

This example demonstrates a simple data-summary dashboard that loads a CSV file and displays basic metadata about its contents. It shows the total number of rows, the names of all columns, and the first data row as a JSON string. The code uses D3.js version 7, specifically `d3.csv` to fetch the dataset from a remote GitHub Gist URL, and then manipulates the DOM with `d3.select` and `append` to render the summary into styled paragraph elements. The visualization is minimal, focusing on text-based output rather than charts, and the data source is a static CSV of Champions League records.

BBALAJI MANDAVA

80% match

Loading thumbnail…

Fork of Fork of HTML Starter

This example presents a health data visualization comprising three charts: a bar chart of Var1, a line chart showing Var2 over time, and a pie chart of Var3. It loads CSV data from a GitHub gist and uses D3.js v7 to render SVG elements. The bar chart maps data points to horizontal bars, the line chart uses scales and a line generator to plot the time series, and the pie chart uses `d3.rollups` to aggregate categories. The code includes axes and margin conventions for the line chart.

Aakhilakura@my.unt.edu

80% match

Loading thumbnail…

Fork of HTML Starter

This interactive line chart renders an SVG visualization of data points connected by a smooth curve, with a title and chart container styled via CSS. Built with D3 v5 and React, the visualization uses an SVG `<path>` element to draw the line, while JavaScript handles the data binding and coordinate scaling. The chart is presented on a fixed 960x500 canvas, demonstrating a minimal HTML, CSS, and JavaScript integration for a basic line chart display.

NNandini Maddula

79% match

Loading thumbnail…

Fork of Fork of Create a face with d3.js!

This example visualizes the win records of multiple sports teams over a series of years, with each team represented by a separate colored line. The chart uses D3.js v7 to load CSV data from a remote Gist and render an SVG line chart with axes, labels, and a legend. The code specifically uses `d3.csv` with `d3.autoType` for data parsing, `d3.scaleLinear` and `d3.scaleOrdinal` for scales, `d3.line` for path generation, and `d3.axisBottom`/`d3.axisLeft` for the axes, with `d3.schemeCategory10` providing the line colors.

Ppraveennayak1702@gmail.com

79% match

Loading thumbnail…

Fork of HTML Starter

A bar chart displays national-level data from a CSV dataset, filtered to include all years for the "National" level. The visualization uses D3.js to create an SVG rendering, with a band scale for the x-axis and a linear scale for the y-axis. Bars are drawn as rectangles filled with steelblue, and axes are generated using `d3.axisBottom` and `d3.axisLeft`. The data is loaded asynchronously via `d3.csv` from a GitHub gist URL.

Pprathyusha-reddy-arch

79% match

Loading thumbnail…

Fork of HTML Starter

This example demonstrates loading a remote CSV dataset and displaying basic information about it in the browser. It uses D3 v7’s `d3.csv` to fetch and parse the data, then computes the file size in kilobytes, row count, and column count. The result is written to a `<pre>` element via the DOM API, while a separate SVG chart is embedded as an image. The page also includes static HTML and CSS for layout, with the SVG rendered from the `shape.svg` file.

Rranjithkmr598@gmail.com

78% match