CSCE 5320 A6.1

1. Bar Plot ICE -6

This visualization displays the top 15 best-selling video games by global sales, shown as horizontal bars with length encoding sales volume and sequential blue color encoding relative magnitude. It uses React with D3 v5 scales (scaleBand, scaleLinear, scaleSequential) and loads CSV data from a Gist URL. Each bar includes hover effects, a tooltip showing sales in millions, and value labels, with a title, axis label, and grid lines rendered as SVG elements.

AAbhiramPudi@my.unt.edu

bar chart

This example shows the global sales of video games grouped by genre as a static bar chart. The code loads CSV data from a GitHub gist, parses the `Global_Sales` column into numbers with `d3.csv`, and renders bars using React and SVG. The `xScale` uses `scaleBand` for each genre, while `yScale` uses `scaleLinear` with the maximum sales value mapped to the chart’s height, although the bars are drawn with their y-position fixed at zero.

A Bar Chart

A bar chart displays total sales for 500 video game genres across global, EU, JP, NA, and other regions, with a dropdown menu to switch the y-axis metric. Built with React and D3 v5, it uses `d3.scaleBand` and `d3.scaleLinear` for scales, renders SVG rectangles via the `Marks` component, and formats axis ticks with `d3.format`. Data is loaded from a CSV using `d3.csv`.

Video Games Sales

This visualization displays the top 20 video games ranked by global sales in millions, with each game shown as a vertical bar. The bar chart shows sales values on the y-axis and game names on the x-axis, with rotated labels for readability. The code uses D3.js `d3.csv` to load and parse the video game sales dataset, then applies `d3.scaleBand` and `d3.scaleLinear` for positioning. The chart includes axes via `d3.axisBottom` and `d3.axisLeft`, with bars rendered as SVG rectangles colored steelblue.

Ssamozarif@gmail.com

ice 6

This horizontal bar chart displays the global sales of the top 11 video games, using orange bars to compare their performance. The visualization is built with React and D3 v5, leveraging `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and SVG for rendering. Data is loaded asynchronously from a CSV file via `d3.csv`, with sales values parsed and then filtered to the first 11 entries. Tick marks and labels are manually generated from the scales, while axis lines are omitted for a cleaner design.

TTejamod

a bar chart

This horizontal bar chart ranks video game titles by global sales in units, sourced from a Kaggle dataset. Built with D3 v6, it maps the numeric sales field to a linear x-scale and the game names to a categorical y-scale band. The SVG rendering uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to draw the axes, with orange rectangles encoding each game’s sales value.

Bar graph-task1

This interactive bar chart, built with React and D3 v5, visualizes the top 12 video games by their North American sales figures. Each game is represented by a rectangular bar, with the horizontal axis encoding sales value and the vertical axis categorizing game titles. The chart is rendered as an SVG within a React component, using D3's `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with data loaded from a CSV file via `d3.csv`. A second, separate plotly-based 3D scatter plot is also included in the project files, but the main gallery view shows the D3 bar graph.

SSheela2930

BarChartPlatform

A bar chart displays video game sales across platforms for the top 500 titles, with a dropdown to switch between global, EU, JP, NA, and other regional sales figures. Using React with D3 v5, the visualization renders SVG rectangles whose heights encode sales values, with scales from `d3.scaleBand` and `d3.scaleLinear`. Axis components draw tick marks and labels, while D3’s `csv` loads the Kaggle dataset. Tooltips, formatted via `d3.format`, appear on hover.