Partnership Chart D3 V4

Manhattan Chart D3 V4

This example shows a grouped bar chart comparing runs scored by two teams across 20 overs in a cricket match, with each bar colored by team and animated tooltips revealing detailed commentary on wickets and player performance. The visualization is built with D3 v4, using `d3.scaleBand` and `d3.scaleOrdinal` for layout and color, while a custom `barTooltip` handles mouseover events. Rendered as SVG within a resizable container, the chart updates on window resize and includes a legend generated from team metadata, with data sourced from an array of per-over statistics.

80% match

D3.js bars and charts

This visualization displays a horizontal bar chart of cricket player statistics from IPL 2021, ranking players by their total runs scored. Each bar represents a player, with the x-axis showing run counts and the y-axis listing player names from the loaded CSV dataset. The chart is rendered using D3.js v7 within a React framework, employing d3.csv for data loading, d3.scaleLinear and d3.scaleBand for scales, and d3.axisLeft and d3.axisBottom for axes. The visualization uses SVG rendering with steelblue bars to encode the quantitative values.

AAyushman

78% match

Worm Chart D3 V4

This chart displays cricket match progress by plotting cumulative runs for two teams across 20 overs. It uses d3.v4 and jQuery to render an SVG multi-series line chart, with each team’s scoring trend shown in a distinct color. Animated resize handling redraws the chart, and optional legend labels identify the teams. The data includes per-over scores and wicket events, though circles for wicket markers are not enabled in the current configuration.

78% match

Horizontal Bar Chart with D3 V4

A grouped horizontal bar chart displays runs scored per over for a single team, with each bar’s length mapped to the value and color from a categorical scale. Built with D3 v4, it uses `d3.scaleBand` for the y-axis grouping and `d3.scaleLinear` for the x-axis, while `d3.scaleOrdinal` assigns colors. The SVG chart animates on window resize by clearing and redrawing, with a legend generated via jQuery. Data comes from an inline array, and the rendering uses SVG rectangles.

78% match

Bar Chart with D3 V4

This example presents a grouped bar chart that displays the number of runs scored per over for a single team across ten overs. The chart uses D3 v4 with an SVG rendering, dynamically creating bars whose heights correspond to the run values. It includes an automatically generated legend, interactive tooltips on mouseover, and a responsive resize handler that redraws the visualization. The bar chart leverages `d3.scaleBand`, `d3.scaleLinear`, and `d3.scaleOrdinal` for positioning and coloring, with data provided as an array of JavaScript objects.

Group Bar Chart D3 V4

This grouped bar chart visualizes runs scored by two teams across ten overs, with each over on the x-axis and the number of runs on the y-axis. The chart uses D3 v4’s `d3.scaleBand` for grouped positioning and `d3.scaleOrdinal` for color assignment. SVG rectangles and an axis generate the rendering, and a custom legend displays team names. The bars respond to mouseover, mouseout, and mousemove events to show tooltips, while a resize event triggers a full redraw of the chart within the designated HTML div.

Grouped Horizontal Bar Chart with D3 V4

This example shows a grouped horizontal bar chart comparing two teams’ runs across ten overs, with each group’s bars colored distinctly and a legend identifying the teams. Built with D3 v4 and jQuery, it uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis, rendering SVG rectangles that update on window resize. Tooltips are attached via a custom `horBarTooltip` module to reveal exact values on hover.

custom chart v2.0

This custom chart visualizes cricket batting performance, showing each player’s innings as a horizontal bar positioned along the ball count, with bar height representing runs scored and vertical offset reflecting cumulative team runs before that batsman. The SVG rendering uses d3.scaleLinear for both axes, d3.csv for data loading, and d3.select to bind CSV data to rectangles. The chart encodes individual innings length, start ball, and runs in a single coordinated view.

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