Player Count Bar Chart

100%

Player Count Bar Chart

✓ Published0🌍 Public

Last edited Apr 20, 2022

Created on Apr 20, 2022

This bar chart shows the maximum concurrent player counts for four popular video games (PUBG, CSGO, Grand Theft Auto, and Rainbow Six Siege) across the years 2017 to 2021. The chart uses grouped bars, with each game represented by a distinct color, allowing for direct comparison of player counts and yearly trends. The visualization is built with d3.v7 and React, using SVG rendering with `d3.scaleBand` for the categorical axes, `d3.scaleLinear` for the count axis, and `d3.scaleOrdinal` for color mapping. Data is loaded from a CSV file (`maxPlayerCount.csv`) using `d3.csv`.

AI-generated description

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

Similar vizzes

Loading thumbnail…

Player Count Bubble Chart

This bubble chart displays monthly player counts for four games—PUBG, CSGO, Grand Theft Auto V, and Rainbow Six Siege—from September 2017 through December 2021. Each game has its own vertical column of bubbles positioned along the y-axis by player count, with the x-axis grouping the games by name. The visualization uses D3.js v7 to parse the CSV data, create a band scale for the categorical game titles, and a linear scale for the counts. Circles are appended to the SVG canvas within a transformed container group, with axes generated using d3.axisBottom and d3.axisLeft.

AAaron Brion

89% match

Loading thumbnail…

Player Count Line Chart

This visualization shows a line chart tracking the monthly player counts for four games (PUBG, CSGO, Grand Theft Auto V, and Rainbow Six Siege) from September 2017 through December 2021. The chart uses D3.js v7 with SVG rendering, employing `d3.line` with a basis curve to smooth the trends. Interactive features include a color-coded hover effect that highlights one series by muting others, and a click-to-toggle visibility mechanism that hides or shows individual game lines. The chart also supports zooming via `d3.zoom`, which rescales the x-axis and redraws the lines with `transition.attrTween`.

AAaron Brion

87% match

Loading thumbnail…

Bar Graph in D3

This bar graph visualizes the maximum player counts for video games by year from 2004 to 2008, with each year represented as a horizontal bar. The visualization uses D3 v7’s `csv`, `scaleLinear`, and `scaleBand` APIs to load data from a GitHub-hosted CSV file and map values to SVG rectangles. The chart includes labeled axes, with years on the y-axis and player counts on the x-axis, and uses `axisLeft` and `axisBottom` for tick marks. The bars are styled with a steelblue fill via CSS.

SSimon Hackbert

79% match

Loading thumbnail…

Player Count Scatter Plot

This scatter plot visualizes player count data across several games from 2017 to 2020, with each circle representing a game’s yearly player total. The y-axis displays game titles as categorical bands, while the x-axis shows years. Built with React and D3 v7, the visualization uses `d3.csv` to load data, `d3.scaleLinear` and `d3.scaleBand` for axes, and SVG circles rendered via `container_g.selectAll(".scatter")`. The data source is `maxPlayerCount.csv`, and the rendering approach is an SVG scatter plot with labeled axes.

AAaron Brion

77% match

Loading thumbnail…

Let's make a Bar Graph with D3.js

This example shows a horizontal bar chart of video game data, mapping each game’s maximum number of players to bar length and its release year to vertical position. The bars are rendered as SVG rectangles with a steelblue fill, using D3 v7’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to build the scales and axes. Data is loaded asynchronously from a CSV file via `d3.csv`, then parsed and bound to the visualization. The chart’s margins and inner dimensions are calculated explicitly to position the plotting area.

SSimon Hackbert

70% match

Loading thumbnail…

season bar chart

This bar chart displays video game sales across different gaming platforms, with a dropdown menu allowing viewers to switch between global, EU, JP, NA, and other regional sales figures. The visualization uses React with D3 v5, employing `d3.scaleBand` for the categorical platform axis and `d3.scaleLinear` for the sales values. SVG rectangles render each bar, and D3 utilities like `axisLeft` and `axisBottom` style the axes, while tooltips show formatted sales values. Data comes from a CSV of top 500 games sourced from Kaggle.

MMichael Bergerson

70% match

Loading thumbnail…

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

69% match

Loading thumbnail…

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.

AAllen Jake Polintan

69% match