Fork of ICE7 Reusable Scatter

100%

Fork of ICE7 Reusable Scatter

✓ Published0🌍 Public

Last edited Mar 29, 2023

Created on Mar 29, 2023

This example visualizes PS4 game sales data as an animated scatter plot, showing global sales against release year across product categories. The visualization cycles the x-axis between Year and North American sales every few seconds. Built with D3 v6 and React, it uses `scaleLinear`, `axisLeft`, and `axisBottom` for axes, renders circles as SVG marks, and includes a hand-coded legend with color-coded categories. Data loads from a CSV via `d3.csv`, with axis transitions driven by `setInterval`.

AI-generated description

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

Similar vizzes

Loading thumbnail…

Ice7-Reusable D3 Scatter Plot

This reusable scatter plot, built with D3.js, visualizes PS4 video game sales data, showing the relationship between sales figures in different regions (Global, North America, Europe) and the year of release. The plot updates its x-axis and data points every two seconds, cycling through these different sales metrics for the same y-axis. Constructed using D3’s modular components like `scaleLinear`, `axisLeft`, and `axisBottom`, the chart is designed to be idempotent and reusable. It renders as an SVG with an animation driven by `setInterval`, and uses the `csv` function to load data from a remote URL.

Aanushaanumula

87% match

Loading thumbnail…

ice 7 scatter

The visualization plots video game sales data from a CSV file, showing the relationship between sales figures and release year as animated scatter points. It cycles through different sales metrics—Global, NA, and EU—every two seconds using `setInterval`, updating the x-axis mapping via `scatterPlot()` from D3.js. The chart uses `scaleLinear` and `extent` for scales, with `axisLeft` and `axisBottom` for axes, rendered in SVG. Animated transitions between metrics reveal shifting sales distributions over time.

TTejamod

85% match

Loading thumbnail…

ice 7

This example visualizes video game sales data from a CSV file, showing a scatter plot where each circle represents a game’s release year against its platform. The visualization cycles through different dimensions—marks, year, and global sales—every five seconds, updating the x-axis mapping dynamically. Built with D3.js, it uses `scaleLinear` for axes and `axisLeft`/`axisBottom` for rendering. The reusable `scatterPlot` module follows the Towards Reusable Charts pattern, with SVG circles for marks and animated transitions driven by `setInterval`.

TTejamod

84% match

Loading thumbnail…

ICE-6 Scatter Plot 11554625

This scatter plot visualizes video game sales data from a CSV file, plotting North American sales on the x-axis against release year on the y-axis. Each circle represents a game, colored by genre using a custom `marker` function that maps genre names to specific colors (blue, yellow, or red). The visualization uses D3 v6 APIs including `csv` for data loading, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for rendering scales. The SVG rendering fills the full browser window with a heading and styled tick labels.

MManohar Kowthavarapu

84% match

Loading thumbnail…

Fork of Fork of scatter-plot

This visualization displays a scatter plot of game sales data, mapping North American sales on the x-axis and European sales on the y-axis. Each point’s color represents a different game publisher, and the circles are drawn with variable width and height properties derived from Japanese and global sales figures. The code loads CSV data via `d3.csv`, scales with `d3.scaleLinear`, and renders axes using `d3.axisLeft` and `d3.axisBottom`. The SVG is created with React and D3 v6, using a custom color mapping function for publisher categories.

Aajaysonu

83% match

Loading thumbnail…

ICE7 Reusable Scatter

This interactive scatterplot visualizes sales data, showing the relationship between the number of orders placed by customers, available stock, and sales revenue for different product categories. The visualization uses D3.js (v6) with SVG rendering to display colored circles representing product categories, with an animation that periodically switches the x-axis between 'Number of Orders' and 'Available in Stock' using `setInterval`. A legend with category colors and axis labels enhances readability, while the reusable `scatterPlot` module handles axis scaling and circle positioning.

Llibramanju

83% match

Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This interactive scatter plot maps video game sales across regions against critic ratings, with each point's shape and color encoding genre. The visualization cycles through different x-axis metrics—North American, European, and Japanese sales, then rating—every two seconds, dynamically updating the scales and axes. Built with D3 6.7.0, it leverages `scaleLinear`, `axisLeft`, and `axisBottom` for axes, while custom SVG paths create genre-based shapes for data points. The code loads CSV data from a remote URL and uses the `select` API to manage SVG rendering.

Ssatishnarne99@gmail.com

83% match

Loading thumbnail…

ICE-6 Yearly Sales Scatter Plot

A scatter plot displays yearly sales data as steelblue circles, with orange highlighting on hover. The chart maps the Year and Sales fields from a CSV file onto linear scales, with axes labeled accordingly. Built with D3 v7 in a React environment, the visualization uses `d3.csv` to load data, `scaleLinear` and `extent` for scaling, and `axisBottom`/`axisLeft` for axis generation, rendered as SVG circles sized at a fixed radius.

Aarchanagoli@my.unt.edu

83% match