Skip to main content
SimilarExport ZIP
100%

Premier League Player Stats

✓ Published0🌍 Public
MMukund Khandelwal
Last edited Nov 6, 2018
Created on Sep 2, 2018
Forked from Making a Bar Chart

This horizontal bar chart visualizes the top 10 goal scorers in the English Premier League for the 2017-18 season. It uses D3 v5 to map player names to a band scale and goal counts to a linear scale, rendering SVG rectangles with a fixed pink fill. The data is loaded from a local CSV file containing player and goal columns, and axes are generated with `axisLeft` and `axisBottom`.

AI-generated description

This bar chart shows the top 10 goal scorers of English Premier League 2017-18. The data comes from the premier league website.

MIT Licensed

Similar vizzes

Loading thumbnail…

Barchart-d3

This interactive bar chart displays goal and age data for ten Premier League players, sourced from a CSV file. Users can switch between these two attributes via a dropdown menu. The visualization uses D3 v5 scaleLinear and scaleBand for axes and bars, with a color legend driven by scaleSequential and interpolatePlasma. Hover interactions highlight bars in orange and display the numeric value overlaid as text, with a transition animation on mouseout reverting the fill.

Ssonalja
78% match
Loading thumbnail…

Making a Bar Chart

A bar chart displays the number of goals scored by Premier League players, with data from a local CSV file loaded via D3’s `csv` function. Steelblue rectangles represent each player’s goal count, with player names and values rendered as text. The visualization uses an SVG canvas, sized 960 by 500 pixels, and is built with D3 v5, selecting the SVG element and parsing the data through the `select` and `attr` methods.

MMukund Khandelwal
76% match
Loading thumbnail…

Bar Chart

This bar chart visualizes the most goals scored by professional footballers, with player names on the y-axis and goal counts on the x-axis. The code uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand for the axes, and d3.axisBottom with tick formatting. Purple rectangles are rendered in SVG, and the chart includes a title and axis label.

RRashesh4
75% match
Loading thumbnail…

Making a Bar Chart

A horizontal bar chart displays the goal counts of Premier League players, sorted in descending order from Mohamed Salah’s 32 to Eden Hazard’s 12. Built with D3 v5, the example loads CSV data via `d3.csv`, selects the SVG element with `d3.select`, and renders steelblue rectangles with `rect` elements. The chart uses a fixed 960×500 SVG canvas, with text labels sized via CSS, demonstrating a straightforward mapping from tabular data to visual bars.

MMukund Khandelwal
75% match
Loading thumbnail…

d3js workshop - bar chart

This bar chart visualizes the English Premier League standings as of February 2015, showing each team’s total points. Using d3.csv to load the league table, it maps team names to horizontal bars whose widths are scaled linearly to the PTS column. The SVG rendering places team point totals at the end of each bar, with a fixed bar height and padding for clarity. The code relies on d3.scale.linear for the x-axis scale and d3 selection/enter/append patterns to construct the chart, though it does not include axes, labels, or interactivity beyond the static bars.

AAlbertFranco
75% match
Loading thumbnail…

ICE7 by Sujit, Pie Chart

This pie chart displays the Premier League’s top goal scorers, using color-coded slices to represent each player’s goal tally. The visualization first shows the overall distribution of goals before explaining the rendering: D3’s `pie` and `arc` generators create the chart, while `scaleOrdinal` maps player names to a pastel color palette. A legend on the right identifies each player, with data loaded from a CSV file. The code explicitly uses D3 v5 APIs like `d3.csv`, `d3.pie`, and `d3.arc` to build the SVG-based graphic, positioning labels via a secondary `labelArc` for clarity.

Ssujitrayudu01@gmail.com
74% match
Loading thumbnail…

Data viz of 2018 football top scorers

This interactive scatter plot visualizes data on the top football scorers of 2018, comparing the number of goals scored against matches played. The data is filtered to show only players from La Liga, Serie A, and Bundesliga. Player names are revealed on hover, while the color of each point indicates the league, and the point size encodes the average shots per match. Built with React and D3 v5, the visualization uses D3's `scaleLinear` for the axes, `scaleSqrt` for sizing, and `scaleOrdinal` with `schemeCategory10` for the categorical color legend.

NNwaegerue Chinemerem
74% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the final Premier League standings, plotting each team’s points total along the x-axis against team names on the y-axis using a categorical scale. It uses d3.csv to load the data, d3.scaleLinear for the point values, and d3.scalePoint for team ordering, with axes from d3.axisLeft and d3.axisBottom. Circles are rendered via SVG, with gridlines generated through tickSize, and margin-based positioning via a translated group.

Bbenholvey
73% match