Deportes

100%

✓ Published0🌍 Public

Last edited Jul 20, 2018

Created on Jul 20, 2018

This visualization presents a ranked comparison of 60 sports across 11 physical and mental attributes, using a multi-series bar chart layout. Each sport is scored on attributes like strength, speed, and flexibility, with a total score determining its rank. The chart is built with D3.js, likely using `d3.scaleBand` for the categorical axis and `d3.forceSimulation` for any network layout if present, though the static nature of the bars suggests a simpler SVG rendering. The data comes from a gist by SolverTwins, showing each sport’s attribute breakdown and overall rank.

AI-generated description

Similar vizzes

Loading thumbnail…

Deportes2

This visualization maps 60 sports across ten physical and mental attributes, including endurance, strength, and hand-eye coordination. Each sport is represented as a point on a radar-style chart, with its attribute scores shaping a unique silhouette. The code uses D3.js force simulation to position labels and nodes, while SVG paths render the attribute polygons. Data originates from a gist by SolverTwins, with scores displayed on a 0–10 scale. Hovering highlights individual sport geometries, and axes are labeled with attribute names for direct comparison.

SSolverTwins

89% match

Loading thumbnail…

Sports List

This visualization displays a bar chart of the top eleven sports in 2021 based on match counts, sorted vertically with a purple bar for each sport. The code uses D3 v5 (including `scaleBand`, `scaleLinear`, `csv`, and `max`) within a React component to load data from a GitHub-hosted CSV and render the chart as an SVG. Axes are manually drawn with ticks and gridlines, while text labels for sports appear on the left.

MManasaPatange

79% match

Loading thumbnail…

Fork of Fork of Fork of Fork of Fork of Sports List

This visualization displays the popularity of sports in 2021 using horizontal purple bars. The chart ranks the top 11 sports based on match counts, with a blue gridline background and labeled axes. Built with React and D3 v5, it uses `d3.csv` to load data from a GitHub gist, `scaleBand` for the y-axis, and `scaleLinear` for the x-axis, rendering all elements as SVG rectangles.

SSaiSree0122

77% match

Loading thumbnail…

Fork of Fork of Fork of Fork of Sports List

This visualization presents a ranked bar chart of popular sports in 2021, sourced from a CSV dataset and rendered as an SVG via React. The code uses d3.csv for data loading, d3.scaleBand and d3.scaleLinear for positioning, and d3.max for domain calculation. Horizontal bars display each sport’s match count, with axis ticks and labels generated manually using d3.ticks. The chart is built with React hooks (useState, useEffect) and ReactDOM rendering, with D3 selections integrated for scaling and formatting.

NNaimisha-M

77% match

Loading thumbnail…

Fork of Sports List

This visualization presents a bar chart of the most famous sports in 2021, using horizontal bars ordered by rank to display the number of matches for each sport. It loads data from a CSV file via `d3.csv` and renders the chart with React, using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The SVG output includes grid lines and axis tick labels generated by D3’s scale methods, with bars filled in purple.

NNaimisha-M

77% match

Loading thumbnail…

Sports Ratings

This stacked bar chart displays the distribution of fan ratings across six sports, with each bar segmented into five rating categories from "below 5.0" to "above 8.5." The visualization uses D3 v7's `d3.stack()` and `d3.scaleOrdinal` with a categorical color palette. Hovering over any segment triggers a tooltip showing the exact percentage for that rating category. The chart includes axes, a legend, and is rendered as SVG with data loaded from a CSV file.

Lleftymadi

77% match

Loading thumbnail…

Fork of Fork of Fork of Fork of Fork of Sports List

A horizontal bar chart displays the popularity of sports in 2021, ranking eleven sports by match counts from a CSV dataset. The visualization uses React with D3 v5, employing `d3.csv`, `scaleBand`, and `scaleLinear` to map data to SVG rectangles. Purple bars represent match totals, with axes drawn using `xScale.ticks()` and manual tick text. The chart renders client-side, fetching data from a GitHub gist URL.

SSaiSree0122

76% match

Loading thumbnail…

Fork of Sports List

This example displays the 11 most popular sports of 2021 ranked by number of matches, rendered as a horizontal bar chart using SVG. The chart uses React with hooks to load and manage the CSV data, while D3 v5 provides the scales, axes, and shape rendering. The bars are colored purple and include labeled tick marks for both axes, with the x-axis scaled linearly by match count. The code uses `scaleBand` for the categorical sports names and `scaleLinear` for the numeric values.

NNaimisha-M

76% match