Team Efficiency Scatter Plot

Fork of Team Efficiency Scatter Plot

This scatter plot displays team efficiency by comparing optimal hours per week against the difference between actual and optimal hours. Each circle represents a team, colored by team name, with axes labeled "Optimal per Week" and "Difference per Week." The visualization uses D3 v5 with SVG rendering, employing `d3.scaleLinear` for axes, `d3.nest` to group data, and `d3.axisBottom` and `d3.axisLeft` for tick marks. Data comes from a CSV file loaded via `d3.csv`, with a title overlaid on the plot.

93% match

Fork of Team Efficiency Scatter Plot

This fork of a team efficiency scatter plot uses D3 v5 to visualize the relationship between actual and optimal performance metrics for different team positions. The SVG visualization displays circular data points positioned by their x and y coordinates, with varying radii and colors representing different team members. The chart includes axis labels and tick marks styled with CSS, though the code reveals it is currently using placeholder data and D3's older linear scale API rather than the actual CSV data provided.

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Scatter Plot with Menus

This interactive scatter plot visualizes fantasy football team efficiencies by comparing actual versus optimal weekly performance across different positions. A dropdown menu lets users filter data by team or position, with each team represented as a colored circle. The visualization uses D3.js v5 with SVG rendering, employing d3.scaleLinear for axes and d3.csv to load the dataset. Hover interaction is not implemented, but the menu-driven filtering updates the scatter plot dynamically.

76% match

Fork of NBA Player Efficiency Scatter Plot

This scatter plot visualizes NBA player scoring efficiency using a dataset from a GitHub gist. It plots minutes played on the x-axis against a selectable y-axis metric—points, rebounds, assists, steals, or blocks—with each dot representing a player. Dot color indicates efficiency (points per minute), with Western Conference teams shown in reds and Eastern Conference teams in blues, differentiated through `d3.scaleSequential` with `interpolateReds` and `interpolateBlues`. The visualization uses D3 v6 with SVG rendering, including animated transitions via `transition().duration(600)`, interactive hover opacity, a dropdown menu built with a custom `menu` module, and a color legend for conference identification.

YYichen Li

72% match

Fork of NBA Player Efficiency Scatter Plot

The scatter plot visualizes NBA player statistics, displaying player efficiency with darker dots representing higher points-per-minute ratios. The x-axis shows minutes played, while the y-axis can be switched between points, rebounds, assists, steals, and blocks. Built with D3 v6 using SVG, the visualization includes dropdown menus for axis selection and hover tooltips revealing player names. The code uses d3.scaleLinear, d3.scaleSequential with the interpolatePuRd color scale, d3.axisLeft, and d3.axisBottom, with animated transitions updating circle positions and colors when the selected statistic changes.

YYichen Li

Making a Scatter Plot

A scatter plot displays final power scores for ten teams, with each team’s score plotted along the x-axis and team names along the y-axis. The chart uses a linear scale for scores and a point scale for categorical team labels, with grid lines extending from both axes. D3 v5’s `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` methods render the SVG, while styled circles, a title, and an axis label clarify the data.

Final project week 8

This scatterplot compares recent and historical season win rates for nine teams, with the x-axis showing recent win rate and the y-axis showing historical win rate. Each team appears as a colored circle using D3’s `schemeCategory10` palette, positioned via `d3.scaleLinear` scales. The visualization renders through `d3.select` and `.join()` to bind the hardcoded data array, while `d3.axisBottom` and `d3.axisLeft` generate the labeled axes that divide the plot into four performance quadrants.

QQingyang Wang Profolio

Ppraveennayak1702@gmail.com

Fork of Fork of Random Squares and circles

This scatter plot visualizes the relationship between Year 1 and Year 2 wins for different teams, with each point representing a team’s performance across two consecutive years. The chart uses D3 v7 to load CSV data from a remote gist and render circles with steelblue fill at reduced opacity, allowing overlapping points to be distinguished. Axes are generated using D3’s `axisBottom` and `axisLeft`, with labels added via SVG text elements. The plot highlights outliers and patterns in team consistency over time, as described in the accompanying analysis text.