NFL Touchdowns vs. Interceptions Scatter Plot

Quarterback Performance

This scatterplot compares top NFL quarterbacks by touchdowns and interceptions from the 2019 season. Each circle represents a player, with color indicating total passing yards, and hovering shows detailed stats. The chart uses D3 v5 with SVG rendering, d3.scaleLinear axes, d3.axisTop and d3.axisLeft, and data loaded from a TSV file.

Rrevickulous2001

81% match

NFL Passing Yards Visualization 11/22/2024 Revision

This interactive scatter plot animates NFL quarterback statistics from 2013–2023, visualizing relationships between numeric attributes like passing yards and touchdowns. Using D3.js, it displays each player as a colored circle representing award status, with dropdown menus for selecting axes, filters for year or award type, and a text input for player search. Clicking a data point reveals a tooltip with player details, while hovering over the legend highlights matching points. The visualization supports dynamic data exploration through state management and uses D3’s selection, scale, and axis APIs for rendering.

75% match

NFL Passing Yards Visualization Final Revision

An interactive scatter plot visualizes NFL quarterback passing statistics from 2013 to 2023, comparing two user-selected numeric attributes such as yards and touchdowns. The animation shows each player as a colored circle, with colors representing awards like MVP, All-Pro, or Pro Bowl. Users can filter by year, award, and player name. Built with D3.js, the visualization uses `scaleLinear`, `axisLeft`, and dynamic axes to update the scatter plot based on selections. Data from CSV files is preprocessed to assign awards and colors, and clicking a point displays a tooltip with player details.

75% match

NFL Passing Yards Visualization 10/31/2024 Revision

This interactive scatter plot visualizes NFL passing statistics across multiple seasons, with each point representing a quarterback and colored by award status (Pro Bowl, All-Pro, MVP, or no award). Users can select different numeric attributes for the x- and y-axes via dropdown menus, as well as filter by specific years, while d3.scaleLinear and d3.axisLeft handle data mapping and axis rendering. The chart updates dynamically by resetting the data array and re-calling the scatterPlot function, which uses D3 joins to manage SVG circles and rectangles.

NFL Passing Yards Visualization

This example visualizes NFL passing statistics as a scatter plot, with each circle representing a player’s performance across two metrics. The chart uses D3’s `scaleLinear` and `axisLeft` to map data points, while the `xAxis` and `yAxis` functions from the `@curran/axis-labels` library add labeled axes. The visualization reads from a dataset, rendering circles with configurable radius and opacity. The code demonstrates a reusable `viz` function that accepts data accessors and margin settings, allowing the same plotting logic to be applied to any dataset, such as the Penguins Dataset referenced in the README.

NFL Passing Yards Visualization Final Revision

This interactive scatter plot visualizes NFL quarterback passing statistics from 2013 to 2023, allowing users to compare any two numeric attributes, such as passing yards versus touchdowns. The D3.js visualization supports filtering by year and award type, with a player name search and color-coded points representing Pro Bowl, All-Pro, MVP, or no award. Clicking a point reveals a tooltip with player details, while dropdown menus and an input field enable dynamic data exploration.

NFL Passing Yards Visualization 11/15/2024 Revision

This interactive scatter plot visualizes NFL quarterback passing statistics from 2013 to 2023, allowing users to compare any two numeric attributes by selecting them from dropdown menus. The visualization also filters data by year and award status, with points colored to distinguish MVP, All-Pro, Pro Bowl, and no-award players. The D3.js implementation uses `scaleLinear` for axes, `axisLeft` for the y-axis, and data-driven circles that reveal tooltips on click, displaying player name, year, and axis values. Data preprocessing converts CSV values to numbers and categorizes awards before rendering.

NFL Passing Yards Visualization 11/08/2024 Revision

This interactive scatter plot explores NFL quarterback statistics across multiple seasons (2013–2023), sourced from CSV data files. Users can select any two numeric attributes for the x- and y-axes, filter by year, and categorize points by award type (Pro Bowl, All-Pro, MVP, or no award), which also determines circle color. The visualization uses D3.js (v7) to render axes, axis labels, a legend, and data points, with hover and click interactions to highlight award categories and display detailed player information.