scatter-plot

100%

✓ Published1🌍 Public

Last edited Mar 22, 2023

Created on Mar 22, 2023

Forked from Fork of Fork of Fork of ICE-6 Scatter Plot

This scatter plot visualizes video game sales, comparing NA_Sales on the x-axis against EU_Sales on the y-axis, with each circle’s color representing a different game publisher or developer. The visualization uses d3.csv to load the dataset, d3.scaleLinear to map data values to pixel coordinates, and d3.axisLeft and d3.axisBottom to render the axes. Circles are drawn as SVG elements within a React framework, with their fill color determined by a switch statement that assigns distinct colors to known studios and a default brown for others. The chart also includes axis labels for the variables plotted.

AI-generated description

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

Similar vizzes

Loading thumbnail…

Fork of scatter-plot

This scatter plot visualizes global video game sales data, comparing North American and European sales on the x- and y-axes while mapping Japanese and global sales to point radius dimensions. The visualization uses D3 v6’s `csv` loader, `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` functions, rendering circles as SVG elements. Point colors are determined by the game’s publisher, with a custom `marker()` function that assigns distinct colors to specific developers like Ubisoft Montreal and Rockstar North, while defaulting to brown for others. The chart includes axis labels and a title, with styling applied via CSS.

Aajaysonu

86% match

Loading thumbnail…

A Scatter Plot

This scatter plot visualizes video game sales across regions, showing each game’s release year on the x-axis and its sales figures on the y-axis, with points colored by genre. A dropdown menu lets viewers switch between regional and global sales attributes. The visualization uses React with D3 v6 scales (`scaleTime`, `scaleLinear`, `scaleOrdinal`) and SVG rendering. Hovering over the color legend filters the displayed points by genre, while a native SVG `<title>` element provides tooltips on each circle. Data comes from a Kaggle dataset of video game sales.

RRED98310

86% match

Loading thumbnail…

Scatter Chart Example

This scatter chart plots North American video game sales against European sales, with each point representing a video game title. The chart uses dark blue, semi-transparent markers to visualize the relationship between the two regional markets. Built with Plotly's JavaScript library, the visualization loads data from a CSV file containing video game sales figures, then extracts the NA_Sales and EU_Sales columns to create the scatter plot. The chart includes labeled axes and a title, with the Plotly.newPlot function handling the rendering.

MManohar Kowthavarapu

86% 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

85% 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…

3D Scatter plot graph

This 3D scatter plot visualizes video game sales data, comparing North American and Japanese sales figures across different game titles and release years. The example uses Plotly's JavaScript API to render two interactive three-dimensional traces: one for North American sales and one for Japanese sales, with sales values plotted on the z-axis, years on the y-axis, and game names on the x-axis. The code loads the dataset using the `d3.csv` function from the D3 library and constructs the chart with `Plotly.newPlot`, styling markers with custom colors, sizes, and opacity settings.

Aadapavaishnavi12

83% match

Loading thumbnail…

3D Scatter plot graph

This example visualizes video game sales data in a 3D scatter plot, comparing North American and Japanese sales across different years and game titles. The code uses Plotly.js to render the scatter3d traces, with two marker series distinguished by color: one for North America and one for Japan. Data is loaded from a CSV file using D3.js’s `d3.csv` function, and the `unpack` helper maps specific columns to the x, y, and z axes. The chart is embedded in an HTML div and styled with a brief CSS file.

Aadapavaishnavi12

83% match

Loading thumbnail…

a scatterplot

This scatterplot displays the top 30 best-selling video games, plotting each game’s name along the y-axis against its global sales on the x-axis using circles. The visualization uses d3.csv to load local sales data, then employs d3.scalePoint for the categorical game names and d3.scaleLinear for sales magnitudes, with d3.axisLeft and d3.axisBottom rendering the axes. The SVG is generated through D3 v6 selections, incorporating margins, tick marks, and a formatted sales label, with the data sourced from Kaggle’s video game sales dataset.

RRED98310

83% match