D3.js bars and charts

100%

D3.js bars and charts

✓ Published0🌍 Public

Last edited Mar 4, 2022

Created on Mar 2, 2022

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.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Data Visuliazation ICE-6

This bar chart displays the total runs scored by the top 10 cricketers from a CSV dataset, with each player’s name labeled on the y-axis and run counts plotted along the x-axis. The visualization uses React for component rendering and d3.csv to load and parse the data, while d3.scaleBand and d3.scaleLinear handle the categorical and quantitative scaling. Axis ticks and gridlines are generated via xScale.ticks(), and the chart is styled with a light blue fill and black text.

TTharun2022

84% match

Loading thumbnail…

Cricket Runs Analysis

This interactive bar chart visualizes cricket runs scored by different players each month from January through May. The visualization uses d3.x3d to render a 3D multi-series bar chart, with each player’s monthly performance represented as a separate series. The code loads player data from a CSV file using d3.csv, parses the values into the required format, and feeds them into the d3.x3d.chart.barChartMultiSeries function. The chart is displayed within an HTML page that imports D3 v5, d3-3d, and x3dom libraries to support the three-dimensional rendering.

Aachalasam

84% match

Loading thumbnail…

Bar Chart

This bar chart displays the top 15 cricket players ranked by their match scores. Built with React and D3 v5, it uses `scaleBand` for the categorical player names on the y-axis and `scaleLinear` for the numeric score values on the x-axis. The data is loaded from a CSV file via the `csv` function, with tick formatting handled by `format`. SVG rectangles render each bar, and tooltips appear on hover using the native `<title>` element.

BBhavyaMammai

83% match

Loading thumbnail…

CSCE-5320 ICE-6

This bar chart shows the ten cricketers with the most runs, ranked by total score. The visualization loads data from a CSV file using `d3.csv`, sorts it to the top ten entries, and renders horizontal bars with `React` components and SVG. D3’s `scaleBand` and `scaleLinear` position the bars and axes, while `axisLeft` and `axisBottom` are used to label the player names and run values, with green gridlines drawn from `xScale.ticks()`.

LLG0498

82% match

Loading thumbnail…

Data Visuliazation ICE-6

This visualization displays the total career runs of the top ten cricketers from a CSV dataset, using a horizontal bar chart where bar length corresponds to each player’s runs. Loaded via `d3.csv` and rendered with React, the chart uses `d3.scaleBand` for player names on the y-axis and `d3.scaleLinear` for the run totals on the x-axis, with gridlines and tick labels generated from the linear scale. The data is filtered to the first ten rows, and the SVG is styled with a light blue fill.

VVenkata Sai Preetham

82% match

Loading thumbnail…

Fork of CSCE-5320 ICE-6

This example shows a horizontal bar chart of the top ten cricket players by total runs, with green gridlines and labeled axes. It loads CSV data from a GitHub gist, slices the dataset to the first ten rows, and renders the bars as SVG rectangles using React. The visualization uses `scaleBand` for the player categories and `scaleLinear` for the run values, with `axisBottom` and `axisLeft` omitted in favor of manual tick generation via `xScale.ticks()`. Styling is applied through inline SVG attributes and CSS in the HTML file.

Cchandrakalavanukuri

81% match

Loading thumbnail…

Untitled

An interactive bar chart displays the top 30 cricket players based on a selected batting statistic, including runs, centuries, half-centuries, sixes, highest score, average, strike rate, or duck outs. A dropdown menu triggers the `update()` function, which parses player data from a CSV, filters out zero values, and sorts by the chosen metric. Using D3.js v6, the chart animates bar height and position via `d3.transition()` with a one-second duration, while SVG axes are redrawn on a rotated x-axis.

BBhargavkaipa

81% match

Loading thumbnail…

ICE-6: Rendering Marks and Channels with React & D3 using cricket dataset

This visualization displays the top 10 cricketers from a dataset, showing each player’s 2019 performance as a horizontal bar chart. The bars are rendered as SVG rectangles within a React component, using D3’s `scaleBand` for the categorical y-axis (player names) and `scaleLinear` for the numeric x-axis (population values). Data is loaded asynchronously via `d3.csv` from a GitHub gist, with axes and tick marks generated manually through React elements.

Vvidhyanamini

80% match