A4 Bar Chart

Bar Chart

This bar chart displays metric sales (in millions) for video game publishers from 2003 to 2009, with publisher names listed vertically and sales represented by horizontal bar lengths. The p5.js sketch loads CSV data from a GitHub-hosted dataset using `loadTable()` in `preload()`, then draws the visualization in `draw()` using `rect()` for bars, `text()` for labels and axis annotations, and hardcoded color values. The chart plots approximately 16 publishers, with sales scaled by a factor of 1.3 to fit the 600x600 canvas, alongside a manually drawn X and Y axis.

86% match

A Bar Chart(Publisher)

This bar chart displays the sales of video games by publisher, allowing users to select among global, EU, JP, NA, and other regional sales data from a dropdown menu. The chart uses D3 v5 scales and axes to map publisher names along the x-axis and sales values on the y-axis, with each publisher represented as a rectangular mark. Interactive elements include the dropdown for changing the sales metric and tooltips revealing exact values. The underlying data is loaded from a CSV file hosted on GitHub, processed with D3’s `csv` function, and the entire visualization is built using React components and SVG rendering.

RRED98310

82% match

Dot Plot

This dot plot displays the metric sales data for video game publishers from 2003 to 2009, using a circle for each publisher’s sales value. The visualization is built with the p5.js library, loading a CSV dataset via `loadTable` and rendering the plot with `circle` and `text` functions. Data is sourced from a GitHub-hosted CSV file based on the Corgis video game dataset, which was modified for this example. The chart labels the axes and includes a title, with a dark background and blue circles representing sales figures.

82% match

A6 Seqeuntial Color Scale

This dot plot visualizes metric sales of video game publishers from 2003–2010 using a sequential color scale. The chart encodes each publisher’s total sales with bar height and a color gradient from light to dark via `d3.scaleSequential` and `interpolateRdPu`. Built with D3 v7, it renders SVG bars, axes with `d3.axisBottom` and `d3.axisLeft`, and includes a legend using the d3-legend library. The data, sourced from the CORGIS video games dataset, is loaded from `games.csv` with numeric sales values processed before scaling.

82% match

Most Popular Video Game Publisher

This horizontal bar chart shows the top 10 video game publishers by total historical global sales in millions. The chart uses React to render SVG elements, with D3 v5’s `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data is aggregated from the Video Game Sales CSV using `d3.nest` and `d3.sum` on the `Global_Sales` field, then sorted and sliced. Axes and rectangular marks are custom React components, with a tooltip provided by SVG `<title>` elements.

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D3 Bar chart

This bar chart displays global sales figures for top-rated video games in 2016, with each game’s name on the x-axis and sales in millions on the y-axis. The D3.js code uses d3.csv to load the data, then maps it to a d3.scaleBand for the x-axis and a d3.scaleLinear for the y-axis. Rectangular SVG elements are colored steelblue, and d3.axisBottom and d3.axisLeft generate the labeled axes. A rotated text element labels the y-axis. The chart renders entirely as inline SVG within an HTML page.

KKwasi Acquaye

JJayaSaiReddySantimalla@my.unt.edu

Fork of dataset for video games

This bar chart visualizes global sales figures for six major video game franchises, ordered by total units sold, with Mario leading at 330 million and The Legend of Zelda at 120 million. The chart uses D3 v7’s `scaleBand` and `scaleLinear` to map franchise names and sales values, rendering the bars as SVG rectangles via `d3.selectAll().append('rect')`. The x-axis labels are rotated 45 degrees for readability, and the chart includes a title, axis labels, and a light teal fill for the bars. Data comes from a CSV file listing franchise sales.

Strip Chart

This strip chart displays the distribution of metric sales (in millions) for video games from 2003 to 2009, using a dataset from the CORGIS Video Games collection. The plot uses a single vertical axis for sales values, with each game represented as a small circle randomly jittered horizontally to reduce overlap. The visualization is built with the p5.js library, loading CSV data via its `loadTable` function and rendering circles with the `circle()` method on a 600-by-600 pixel canvas. A highlighted annotation points to a specific data point labeled "Mario Kart D.S."