Testing D3 V 3.2

100%

Testing D3 V 3.2

✓ Published0🌍 Public

Last edited Feb 18, 2020

Created on Feb 6, 2020

Forked from testing

A scatterplot displays FIFA player attributes such as age, overall rating, and wage from a CSV dataset. The visualization uses D3 v5 with an SVG rendering approach. It employs `d3.csv` to load the data and `d3.scaleLinear` for axes, with `d3.axisBottom` and `d3.axisLeft` to render the scales. Circles positioned via `d3.forceSimulation` show player distribution, though the layout appears partially constrained.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Test2

This interactive scatter plot visualizes player attributes from the FIFA19 English Premier League dataset, allowing users to compare quantitative metrics like Potential, Overall, Dribbling, and Acceleration via dropdown menus for both x and y axes. Built with D3 v6, it uses `scaleLinear` for quantitative axes and `scalePoint` for categorical positions, rendering circles with SVG and animating transitions using the `transition` API. The visualization updates smoothly with a 1000-millisecond duration, using data fetched from a GitHub gist.

SSitanshu Rupani

83% match

Loading thumbnail…

D3 Scatter Plot - FIFA Dataset - Sitanshu Rupani

This visualization shows a D3.js scatter plot comparing FIFA 19 player potential against their current overall rating, using data from a public gist of the FIFA19 English Premier League dataset. Each circle represents a player, plotted with potential on the x-axis and overall on the y-axis. The code uses d3.csv for data loading, d3.scaleLinear for both axes, and d3.axisLeft and d3.axisBottom to render the axes. The SVG-based chart fills the full browser window and applies a fixed radius of five pixels to all data points.

SSitanshu Rupani

80% 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

80% match

Loading thumbnail…

Adding Interaction for Scatter Plot - FIFA19 Players Dataset - Sitanshu Rupani

This interactive scatter plot visualizes player attributes from the FIFA19 English Premier League dataset, allowing users to dynamically select which quantitative or categorical attributes appear on the x- and y-axes via dropdown menus. The D3 v6 code uses `scaleLinear` and `scalePoint` for numeric and categorical mappings, with axes rendered through `axisLeft` and `axisBottom`. Data points are drawn as SVG circles with opacity, and transitions animate position changes and circle growth over 1000 milliseconds when axes change. The dataset is loaded as CSV from a GitHub Gist.

SSitanshu Rupani

78% match

Loading thumbnail…

Address Project Feedback - Sitanshu Rupani

This scatterplot visualizes the relationship between FIFA 19 players’ overall ratings and their weekly wages, using D3.js v4 with SVG rendering. It plots each player as a circle, with data sourced from a CSV of English Premier League players. Users can brush over the plot to highlight specific players, which triggers a table below showing their name, club, nationality, and potential. The visualization uses `d3.brush()` for selection, `d3.axisBottom` and `d3.axisLeft` for axes, and `d3.scaleLinear` for positioning, dynamically updating the table via `d3.selectAll('.brushed')`.

SSitanshu Rupani

77% match

Loading thumbnail…

Viz_9

This interactive scatter plot displays FIFA player statistics across six national teams (ARG, BRA, ESP, FRA, GER, ITA), letting users compare any two attributes via dropdown menus. The visualization uses React with D3 v5 scales (d3.scaleLinear) to map data to SVG circles, with tooltips showing x-values. Data loads from a CSV via d3.csv. Users can dynamically switch axes, and the plot renders with custom axis components and formatted tick labels using d3.format.

NNikithakatta30

76% match

Loading thumbnail…

Barchart-d3

A bar chart displays the ages of Premier League footballers from a CSV file, with a dropdown menu to switch between goals and age attributes. The visualization uses D3 v5's `scaleBand` and `scaleLinear` to position bars, `axisLeft` and `axisBottom` for axes, and SVG rectangles. Hovering triggers a fill change to orange, a thick stroke, and a temporary text label showing the numeric value, with transitions animating the mouseout state. The data source is `data.csv` with player statistics.

PpramodK

76% match

Loading thumbnail…

Fork of Fork of Reusable D3 Scatter Plot

This example adapts a reusable D3 scatter plot to visualize soccer statistics, cycling through three different variable pairings every three seconds. It uses `d3.csv` to load a dataset containing goals for and against, wins, draws, losses, and points. The animation smoothly updates the plot's axes and circle positions by re-binding data and calling `axisLeft` and `axisBottom` within a setInterval loop. The SVG circles are rendered with a fixed radius, and the chart adjusts to the full window size.

Nnagasai.mandalapu@gmail.com

76% match