CSCE 5320 - Assignment 6

100%

CSCE 5320 - Assignment 6

✓ Published0🌍 Public

Last edited Oct 8, 2026

Created on Oct 7, 2026

A scatterplot compares a player’s Games (G) against Hits (H), with point color encoding Position Played and point size encoding HR, across annual frames from a CSV loaded via `d3.csv`. Animated year-by-year playback and mouseover tooltips (delayed 0 ms) show per-player labels. Built with D3 v7, the SVG chart uses `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.scaleSqrt` for axes, colors, and sizing, with axes rendered via `d3.axisBottom` and `d3.axisLeft`.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

CSCE 5320 HW5

This example visualizes individual player statistics for the San Diego Padres, using home runs (HR) on the x-axis and batting average (BA) on the y-axis. It also encodes position as color and RBI as bubble size, with axes and labels styled for dark background. The code loads CSV data via `d3.csv`, applies numeric conversion, and uses `d3.scaleLinear` for positioning plus `d3.mean` and `d3.median` to summarize statistics in a header. Marks are drawn as colored circles with white strokes inside a single SVG group, and the chart includes a legend area on the right margin.

Rrobersontanner1@gmail.com

79% match

Loading thumbnail…

Baseball Scatter Plot, Hits and Homeruns, Iterated

This scatter plot visualizes the relationship between hits and home runs in baseball, with each dot representing a player-season. The chart displays data from three leagues—American, National, and Federal—distinguished by color and identified in a legend. Using D3.js (v6) with SVG rendering, the visualization loads a CSV dataset via `d3.csv`, then maps hits and home runs to linear scales with `scaleLinear`. Points are drawn as semi-transparent circles, and axes are generated using `axisLeft` and `axisBottom` to display the quantitative values.

RRobert Johnson

79% match

Loading thumbnail…

Player Data Scatter Plot

This scatter plot visualizes player data, showing age on the x-axis and matches played on the y-axis, with each point’s radius scaled to the player’s score. The data is loaded from a CSV file via `d3.csv`, and the visualization is rendered as an SVG using D3 v6. Axes are created with `axisLeft` and `axisBottom`, while `scaleLinear` and `scaleSqrt` map the data values. A categorical color scheme distinguishes score ranges, and axis labels are added as text elements.

Aaniteshterala2000

79% match

Loading thumbnail…

Baseball Scatter Plot Showing Hits and Homeruns

A scatter plot visualizes the relationship between hits and home runs for baseball players, with each dot colored by league affiliation: red for the American League and blue for the National League. The plot uses D3's `csv` loader to fetch data from a GitHub gist, `scaleLinear` for the axes, `extent` to set domains, and SVG circles with opacity for rendering. Axis labels are added via `axisLeft` and `axisBottom`, with custom text annotations for "Hits" and "Homeruns".

RRobert Johnson

77% match

Loading thumbnail…

Scatter Plot in D3

This scatter plot visualizes the maximum number of players for various games by year from 2004 to 2008, using data loaded from a CSV file. Circles represent each data point, positioned via `d3.scaleLinear` for the x-axis and `d3.scalePoint` for the y-axis, with axes generated by `d3.axisBottom` and `d3.axisLeft`. The SVG rendering includes labeled axes, grid lines, and a title, all styled with CSS. The code uses D3 v7’s modular imports and follows a tutorial by Curran Kelleher.

SSimon Hackbert

77% match

Loading thumbnail…

Fork of Player Statics using reusable scatter plot

This interactive scatter plot analyzes cricket player statistics, cycling through four attribute pair comparisons such as Runs versus Strike Rate and Matches Played versus Player of the Match. Built with D3.js v7, it renders SVG circles with smooth animated transitions between datasets, using `d3.scaleLinear` for axes and `d3.axisBottom`/`d3.axisLeft` for ticks. Data is fetched via `d3.csvParse` from a remote gist, with a hover tooltip displaying player details.

Ssdarsi2404@gmail.com

77% match

Loading thumbnail…

CPSC 436V Week 3 - Scatterplot

This scatterplot shows the ratings of ten games played in 2019, plotted along a horizontal rating axis against game names on the vertical axis. Each circle’s position encodes the game’s score, with all points using a uniform radius. The visualization uses D3 v5 APIs including `select`, `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom`. Data is loaded from a local CSV file (`data.csv`) and rendered as an SVG, with gridlines, tick labels, and axis labels styled via CSS.

JJordan Chiu

76% match

Loading thumbnail…

Gist 9e7f962de44840b48f6f27bcbe4d8cd8

This scatterplot-like visualization maps player names, positions, and scores from a team.csv dataset, encoding score on the y-axis and position on the x-axis. It uses d3.forceSimulation to position overlapping labels and nodes, with a d3.scalePoint for categorical positioning and d3.select to bind data. Each player is represented by a circle colored by position, with a text label showing their name and score. The chart renders in SVG via d3, with axes generated by d3.axisLeft and d3.axisBottom. The visualization highlights scoring distribution across positions, such as high-scoring back-rowers and fly-halves, without additional interactivity.

CConorAspell

76% match