Fork of HTML Starter

100%

Fork of HTML Starter

✓ Published0🌍 Public

Last edited Feb 28, 2021

Created on Feb 28, 2021

This example displays a scatter plot of housing data, mapping living area (GrLivArea) on the x-axis against sale price (SalePrice) on the y-axis. Each data point is rendered as a small green circle using D3.js selections and the `append("circle")` method. The visualization loads a CSV dataset from a remote URL via `d3.csv`, and constructs linear scales with `d3.scaleLinear` to position the circles. Axes are generated using `d3.axisBottom` and `d3.axisLeft`. The plot is embedded within an HTML page styled with large, centered text.

AI-generated description

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

Similar vizzes

Loading thumbnail…

Fork of ice5.2

This example visualizes a scatter plot of housing data, with house size on the x-axis and price on the y-axis. Each circle represents a property. The visualization uses the D3.js library, specifically `d3.csv` for data loading, `d3.scaleLinear` for both axes, and `d3.axisBottom` and `d3.axisLeft` for axis rendering. The CSV data is fetched from a remote gist URL. The SVG rendering approach is employed, with circles appended to the SVG container. The code also applies margin conventions to structure the chart layout.

Kktvgs25@gmail.com

80% match

Loading thumbnail…

Fork of Scatter Plot

A scatter plot visualizes house sale prices over time, with each data point colored by property type and bedroom count. Interactive dropdown menus let users choose which columns to map to the X and Y axes. The visualization uses d3.csv for data loading, d3.scaleLinear for axis scaling, d3.axisBottom and d3.axisLeft for grid lines, and d3.transition with attribute tweening for animated circle placement. Data comes from a CSV file containing sale dates, median prices, property types, and bedroom counts.

Ddaniel

79% match

Loading thumbnail…

Untitled

A scatter plot displays the relationship between ground living area in square feet and sale price for individual properties. Each black circle represents a home, with position encoding both variables along linear axes. The visualization uses D3 v4’s `scaleLinear`, `axisBottom`, and `axisLeft` to render the chart in SVG within a React framework. Data loads from an external CSV file via `d3.csv`, plotting 1.5-pixel-radius circles without additional encoding.

TTharun2022

78% match

Loading thumbnail…

Fork of Fork of HTML Starter

This example visualizes a scatter plot of gold-price data from a CSV file, animating between engine power and miles-per-gallon columns on a fixed axis. The visualization uses D3’s `csv` loader and a custom `scatterPlot` module, rendering SVG circles with a 5-pixel radius. A `setInterval` timer cycles the x-axis mapping every second, updating the chart via the plot function. The code demonstrates dynamic axis updates by re-invoking the plot with new accessors, while the y-value remains static, and the viewport dimensions are set to the window size.

NNanditha Reddy

78% match

Loading thumbnail…

HTML Starter

This example demonstrates how to build a scatterplot in React using D3 v4, displaying the relationship between city and highway fuel economy from a CSV file. The code creates linear scales for both axes, appends SVG circles with opacity and color encoding, and calls `d3.axisBottom` and `d3.axisLeft` to render the axes. The page also includes a basic SVG canvas with circles positioned via `selectAll`, `data`, and `join`, showing a simple data-binding pattern in plain HTML.

AArthur Kozhevnik

77% match

Loading thumbnail…

HTML Starter

This visualization generates 50 random data points and renders them as circles in a scatterplot using SVG. It demonstrates a minimal HTML setup with D3 v6 and React, showing how to create axes, scales, and dynamic circle sizing based on data values. The code uses d3-scaleLinear, d3-scaleSqrt, d3.axisBottom, and d3.axisLeft to map random coordinates and apply a square-root scale for circle radii. Styling is applied through a separate CSS file, and the example serves as a starting template for more complex visualizations.

SST-commits

77% match

Loading thumbnail…

HTML Starter

This example presents a scatter plot of the auto-mpg dataset, using red semi-transparent circles to show the relationship between vehicle attributes. The code imports specific D3 functions like `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to construct the chart within an SVG, while CSS styles the circles and text. The data is loaded as CSV and parsed into numeric values, though the rendering logic itself is left as an empty function, leaving the visualization incomplete.

Nnouralkhoury

76% match

Loading thumbnail…

Fork of HTML Starter

This example shows a scatterplot of the Iris flower dataset, mapping petal length on the x-axis and sepal length on the y-axis. It loads CSV data with `d3.csv`, uses `d3.scaleLinear` and `d3.extent` to set scales, and renders circles as SVG marks. Axes are added with `d3.axisLeft` and `d3.axisBottom`. The chart fills the browser window and is built with D3 v7 in a plain HTML page, with no React integration despite the metadata suggesting a fork.

Aaidarshafeev1@gmail.com

76% match