Cricket Match Bar Graph

Ppraveennayak1702@gmail.com

Bar graph-Praveen

This bar graph visualization displays cricket team wins across three years, with each team represented by a colored bar and the bar height indicating the number of wins for Year 3. The code uses D3.js v7 to load CSV data from a GitHub gist and render an SVG chart with d3.scaleBand for the x-axis, d3.scaleLinear for the y-axis, and d3.scaleOrdinal with d3.schemeCategory10 to assign distinct colors to each bar. Axes include labels for "Team Name" and "Wins", with hover effects on the bars.

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A bar chart from the D3.js visualization library shows the top 20 Indian cricketers ranked by their total runs scored, using data loaded from a CSV file. The visualization employs a categorical x-axis for player names and a linear y-axis for run counts, with data sorted in descending order and styled as steelblue bars. Built with d3.scaleBand, d3.scaleLinear, d3.axisBottom, and d3.axisLeft, the chart includes rotated player-name labels for readability and hover effects that change bar colors to darkorange.

Aankitgoudpoodhari07@gmail.com

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This visualization shows total runs scored by individual Indian cricket players as a bar chart, with player names on the x-axis and run totals on the y-axis. The code loads data from a CSV file using d3.csv, then encodes the values through bar height and position using d3.scaleBand and d3.scaleLinear. Rectangles are drawn into an SVG container with a blue fill, and axes are rendered with d3.axisBottom and d3.axisLeft, with rotated player labels for readability.

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This scatter plot visualizes cricket player statistics from a CSV file containing attributes like runs, matches, and strike rate. It uses D3 v7 to render an SVG chart, automatically detecting numeric columns to map to X and Y axes. The visualization includes axes with labels, colored dots that represent categorical groupings when present, and an interactive tooltip that displays data values on hover. The chart uses d3.scaleLinear for axis scaling, d3.scaleOrdinal with d3.schemeTableau10 for categorical colors, and d3.axisBottom and d3.axisLeft for axis generation. Data is loaded from an external CSV URL via a Gist.

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This bar chart displays the total Test cricket runs scored by top batsmen, with names on the y-axis and runs on the x-axis. It uses D3.js v5 via UNPKG, employing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the SVG visualization. The chart loads data from a local CSV file and customizes axis labels while removing default tick lines and domains for a cleaner appearance. The visualization highlights player rankings by bar length, with steelblue rectangles rendered from the parsed dataset.

Vvidhyanamini

Aankitgoudpoodhari07@gmail.com

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This bar chart displays the average runs scored by cricket players, grouped by their country of origin. Built with D3 v7, the visualization aggregates data from a CSV file using `d3.rollups` and `d3.mean` to compute country-level averages. The SVG rendering uses `d3.scaleBand` for the categorical x-axis and a sequential color scale to encode the average runs value, with interactive tooltips appearing on mouseover.

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This scatter plot compares batting average against strike rate for a dataset of Indian cricketers parsed from a CSV file. Each circle represents a player, positioned by their average on the x-axis and strike rate on the y-axis, with hover tooltips revealing individual stats. The visualization uses D3 v7 to load the data via `d3.csv`, scale values with `d3.scaleLinear`, and render the axes and SVG circles. It also includes labeled axes and a chart title to structure the comparison.

73% match

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This example combines a bar chart and a line chart in a single SVG view to compare the total runs and batting average of the top 15 Indian cricketers from a CSV dataset. The bars, rendered with `d3.scaleBand` and `d3.scaleLinear`, show runs on the left axis, while a crimson line, plotted with `d3.line`, overlays average values on a right axis. D3 v7 axes, gridlines, and hover tooltips supplement the visualization, which loads data asynchronously via `d3.csv`.