Scatter Plot With Menus

Interactive Scatter Plot

This interactive scatter plot visualizes top football league scorers using D3.js, letting users explore relationships between performance metrics like goals, shots, expected goals (xG), and minutes played. Three dropdown menus allow selection of the x-axis variable, y-axis variable, and season year (2016–2020). The chart renders circles colored by league, with player labels on hover and a color legend that supports filtering by league via click, with double-click to clear. All visual elements—including axes, scatter points, and legend—update in response to user input, creating a dynamic, animated exploration of the dataset. The visualization is built with D3 v7 and is responsive to container resizing.

92% match

Scatter Plot with Menus

A scatter plot displays football player statistics across six attributes (ARG, BRA, ESP, FRA, GER, ITA) from a FIFA dataset. Two dropdown menus let viewers independently select which attribute appears on the x- and y-axes, with react state managing the selection. The code uses d3.scaleLinear for scales, d3.extent for domains, and d3.csv to load data, rendering circles as SVG marks with tooltips via the title element. Axis components generate ticks with tick formatting using d3.format.

NNikithakatta30

86% match

Goals Scatter Plot with Scale

This animated scatter plot visualizes top football league scorers from a 2018 Kaggle dataset, plotting each player's goals against their shots taken. Points are colored by league using an ordinal color scale with a clickable legend that filters the data through hover interactions. Built with D3.js, the visualization employs responsive axes, linear scales for positioning, and smooth transitions to enlarge points on mouseover, while a legend allows users to highlight specific leagues.

85% match

Fork of Goals Scatter Plot with Scale- Menu

This interactive scatter plot, built with D3.js, visualizes goal-scoring statistics from top football leagues, using data from Kaggle. The visualization includes dropdown menus for selecting which numeric column to display on the X and Y axes, allowing users to compare different metrics such as Goals and Shots. The plot is color-coded by league, with an interactive legend that supports hover highlighting and click-to-filter functionality. The animation responds to axis changes, updating the visualization dynamically.

KKusumaKumariDama@my.unt.edu

Fork of Goals Scatter Plot with Hover

This scatter plot visualizes top football league scorers, showing the relationship between goals and shots for players in 2018. The plot uses colored circles to represent different leagues—La Liga, Serie A, Bundesliga, and Premier League—with each circle sized and labeled by player name. Hovering over a circle enlarges it and displays a tooltip with the player's name. The visualization is built using D3.js, specifically the `select`, `scaleLinear`, and `axisLeft` APIs, while relying on the `@curran/responsive-axes` library for axes rendering. Data comes from the Top Football League Scorers dataset on Kaggle.

Scatter Plot

A scatter plot visualizes top football league scorers for 2018, plotting goals on the x-axis against shots on the y-axis. Each circle represents a player, colored by league (La Liga in yellow, Serie A in green, Bundesliga in red, Premier League in blue) with opacity and fixed radius. The visualization uses D3's `scaleLinear`, `extent`, `axisLeft`, and custom axis-label components to render axes and labels. Data comes from the Kaggle "Top Football Leagues Scorers" dataset.

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.

HHirsh Gupta

Goals Scatter Plot with Hover

This example visualizes top football league scorers from a Kaggle dataset, plotting goals against shots for the 2018 season. Each circle represents a player, colored by league (La Liga, Serie A, Bundesliga, Premier League), and hovering enlarges the point and displays the player’s name. The visualization is built with D3.js, using `scaleLinear`, `select`, and `transition` for the hover effect, while `@curran/responsive-axes` handles axis generation. The code animates circle radius changes on mouseover and removes tooltips on mouseout.