History of Video Games by Genre

Interaction Fork of History of Video Games by Genre

This interactive visualization shows video game sales by genre over time, with a dropdown menu letting viewers switch between global, North American, European, Japanese, and other regional sales data. The chart uses Observable Plot’s `rectY` with `binX` to aggregate yearly sales per genre, summing the selected regional sales column. Built with D3 v6 for data loading and CSV parsing, the view redraws the entire plot on region change rather than updating in place. The dataset comes from the preprocessed Video Game Sales Dataset by Daniel Ribaudo.

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Stacked Fork of History of Video Games by Genre

This stacked bar chart shows the number of video games released over time, broken down by genre and sales region (NA, EU, JP, and Other). The visualization uses a modified dataset where each game’s sales are split into separate entries for each region, allowing the bars to show the cumulative contribution of each region to the total count. It is built with Observable Plot, using `Plot.rectY` and `Plot.binX` to aggregate the data, and the facets are arranged by genre. The data originates from the Video Game Sales Dataset on GitHub.

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Video Games by Genre: Updated Streamgraph

This streamgraph shows annual video game sales by genre, with a dropdown to switch between global, North American, European, Japanese, and other regional sales. Built with D3 v6 and Observable Plot, it uses `Plot.areaY` with `Plot.stackY` and `Plot.binX` to aggregate the data, while a custom `colorLegend` function renders a supplementary legend. The visualization fills missing year-genre combinations with zero-value entries to fix artifacts. It draws from the Video Game Sales Dataset prepared by Daniel Ribaudo.

Video Game Publishers by Genre

This visualization uses small multiples of scatterplots to compare the mean and variance of global sales for video game publishers across genres. Each dot represents a publisher, with outliers filtered using a z-score cutoff on variance to reveal clearer patterns. Built with D3 v6 and Observable Plot, it loads the Video Game Sales Dataset via `d3.csv` and applies `d3.rollup` to aggregate sales data. Hovering reveals the publisher name, though clusters can make identification difficult.

Total Sales of Video Games by Genre

This line graph shows total video game sales by genre over time, with an interactive dropdown to switch between global, North American, European, Japanese, and other regional sales figures. The visualization uses Observable Plot’s `Plot.line` and `Plot.frame` to render the SVG marks, alongside D3’s `rollup` and `sum` for data aggregation. A custom color legend is generated via `Plot.cellX` and appended to the chart. The dataset comes from the Video Game Sales Dataset prepared by Daniel Ribaudo.

Visualization of Global Video Games Sales by Year and Genre

This visualization shows global video game sales by year, with bars colored by genre to reveal sales trends across categories over time. It uses the Vega-Lite API with D3’s CSV loader to fetch data from a GitHub-hosted dataset originally sourced from Kaggle. The chart encodes years on the x-axis, global sales on the y-axis, and genre as color, with tooltips displaying genre names. Custom styling via a config object improves label and title readability, while Vega-Lite’s automatic rendering handles the bar marks and scales.

VVarun Eranki

Line Interaction Fork of History of Video Games by Genre

A dropdown menu selects a sales region, and a steamgraph displays total video game sales per year, stacked by genre around a central axis. The chart uses Observable Plot’s `areaY` and `stackY` marks with `binX` to aggregate the data, which comes from the Video Game Sales Dataset. Redrawing the plot on region change removes the previous graph, showing how annual sales distribution shifts across global, North American, European, Japanese, and other markets. The code loads CSV data with `d3.csv` and `autoType`.

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