Fork of Reusable D3 Scatter Plot

Fork of Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot visualization of laptop sales data, showing the relationship between cost and quantity sold. It uses a D3.js module pattern to create a configurable chart component, with the `scatterPlot` function accepting setters for dimensions, margins, and data accessors. The data is loaded from a remote CSV file via `d3.csv()`, then parsed and rendered using `scaleLinear` for axes and `axisLeft`/`axisBottom` for tick marks. The implementation includes TODO notes about making the chart idempotent, and the page uses custom styling with the Share Tech font.

94% match

Fork of Reusable D3 Scatter Plot

This fork of a reusable D3 scatter plot visualizes laptop sales data, plotting cost on the x-axis against quantity sold on the y-axis. Each circle represents a data point colored by area using `d3.scaleOrdinal` with `schemeCategory10`. Built with React hooks, the code uses `useRef` and `useEffect` to manage the SVG lifecycle, clearing previous renders before appending new ones via `d3.select`. Axes are generated with `d3.axisBottom` and `d3.axisLeft`, while scales use `d3.scaleLinear` and `d3.extent`. The data is loaded asynchronously from a CSV file hosted on GitHub.

91% match

Fork of ICE-7 Resusable Scatter Plot

This example uses D3.js to create a reusable scatter plot of laptop sales data, displaying the relationship between cost and quantity sold. The chart is built with an SVG-based custom scatter plot API that constructs axes, labels, and title using `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. Each point is rendered as a steelblue circle with a radius of six pixels and 70 percent opacity. The code loads a CSV file from a GitHub Gist, parses it, and then applies the plot to a full-window SVG.

86% match

Fork of HTML Starter

A pink scatter plot compares laptop Cost and Quantity_Sold using data from laptop_sales_160.csv. The visualization maps price on the x-axis and units sold on the y-axis, with each circle representing a product. The code loads data with d3.csv, converts fields to numbers, and uses d3.scaleLinear with d3.axisBottom and d3.axisLeft for axes. Circles are appended as SVG elements with explicit x, y, and radius attributes, and axis labels are added as text elements.

Fork of Fork of Fork of Fork of Reusable D3 Scatter Plot

This example shows a scatter plot of daily sales data, with light blue area fill beneath the points and red circles marking each data value. It loads CSV data from a GitHub gist via `d3.csv`, converts the fields to numbers, and uses `d3.scaleLinear` for both axes with `d3.axisBottom` and `d3.axisLeft` for tick marks. The reusable `scatterPlot` module defines configurable accessors for width, height, margins, and radius, though the main script directly builds a static SVG area chart.

HHariniPotla@my.unt.edu

Fork of Fork of Fork of Reusable D3 Scatter Plot

This fork of a reusable D3 scatter plot displays sales data over time, with a line connecting red circular markers on a steelblue stroke. The code uses the D3.js v6 API, including `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisBottom`, `d3.axisLeft`, and `d3.line`, to load CSV data and render an SVG. It includes axis labels and a custom Share Tech font. A separate `scatterPlot.js` module defines a reusable chart function with setters for configuration.

HHariniPotla@my.unt.edu

Fork of Reusable D3 Scatter Plot

This example presents a reusable scatter plot that maps daily visitors on the x-axis against sales on the y-axis, with each point sized by a fixed radius. The visualization loads CSV data from a GitHub gist, parsing numeric fields for day, sales, profit, orders, and visitors. Built with D3 v6, the code uses scaleLinear for axes, extent to compute domains, and axisLeft/axisBottom for rendering ticks. The scatterPlot function follows a reusable pattern, making it configurable via method chaining for width, height, margins, and data accessors, while SVG circles are joined to the DOM using selectAll and data.

HHariniPotla@my.unt.edu