100%

Fork of Simple Bar Chart

✓ Published0🌍 Public

Last edited Nov 26, 2024

Created on Nov 26, 2024

A fork of a simple bar chart visualizes the animal counts from the included Animal.csv file, with each animal category represented as a bar. The chart displays counts for species like Tiger, Lion, and Deer, with values ranging up to 20. The implementation uses D3's `scaleBand`, `scaleLinear`, and `axisLeft` functions, along with the `@curran/axis-labels` library for axis labels. The visualization reads data from the local CSV and renders it within an SVG, using a join approach to create the bar marks.

AI-generated description

A bar chart showing the top 10 most populous countries on Earth as of January 1st 2024.

Challenge

Fork this viz and modify it to show your own data

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Making A Bar Chart

This example shows the weights of ten animal species in a bar chart, with each bar representing a species from the provided CSV data. The x-axis displays species names with rotated labels, while the y-axis shows weight in kilograms. The code uses d3.csv to load data, d3.scaleBand for the categorical axis, d3.scaleLinear for the numeric axis, and d3.axisBottom and d3.axisLeft to render the axes. SVG rectangles are appended to the chart with steelblue fills, and margins are applied to position the visualization within the SVG canvas.

HHaili0109

81% match

Loading thumbnail…

Fork of Simple Bar Chart

This fork presents three D3.js v7 bar chart visualizations positioned side by side, comparing agricultural and economic data. It shows relationships between crop production, input costs, inflation rates, and profits through merged datasets. The code uses `d3.csv` to load data, `scaleBand` and `scaleLinear` for axes, plus `d3.axisBottom` and `d3.axisLeft` to render the chart framework. Bars are colored steelblue and turn orange on hover, with SVG rendering handling the display.

CCowan Kanga Wekesa

78% match

Loading thumbnail…

Fork of Simple Scatter Plot

This example shows a static bar chart of a fruits dataset, displaying categorical values along the x-axis and numeric magnitudes on the y-axis. It loads a remote CSV file using `d3.csv` and renders the visualization as an SVG on the page. The code employs `d3.scaleBand` for the categorical axis, `d3.scaleLinear` for the value axis, and `d3.axisBottom` and `d3.axisLeft` to draw the axes. The chart explicitly constructs bars with SVG `rect` elements, while the data originates from a GitHub-hosted CSV file.

Kkotlavamsireddy@gmail.com

78% match

Loading thumbnail…

Fork of STACKBAR Group Colours

This example presents a horizontal stacked bar chart where each bar represents an animal, and the bar segments correspond to values across four categories (A, B, C, D). The bars are colored by animal group, such as Domestic, Pest, or Marine, using a D3 scale that maps each group to a distinct set of fill colors per segment. Built with D3 v5, the visualization defines linear and band scales for the axes, stacks the data with `d3.stack()`, and renders SVG rectangles. Data loads from a CSV file using `d3.csv` and `d3.autoType`, with axes and a legend drawn via `d3.axisTop` and `d3.axisLeft`.

SsunilthkGmail

76% match

Loading thumbnail…

Fork of Simple Bar Chart

This polished bar chart displays categorical data from a CSV of Indian players, encoding values through bar height and a teal color gradient. Built with D3 v7, it uses `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.axisBottom`/`d3.axisLeft` for gridlines. Bars render as SVG rectangles with hover effects that trigger a tooltip showing the category and value. The chart includes axis labels and a clean, shadowed design, with data loaded asynchronously via `d3.csv`.

Aankitgoudpoodhari07@gmail.com

76% match

Loading thumbnail…

Fork of Simple Exploration with bars

A simple D3 bar chart displays six static data values with corresponding letter labels. The visualization uses `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis, rendering bars as SVG rectangles with steelblue fill. It includes labeled axes for "Data Value" and "Data Count," along with `d3.axisBottom` and `d3.axisLeft` tick marks. The fixed dataset is hardcoded in JavaScript, and the chart is drawn in an SVG container with specified margins.

Ssharmamilan632.m@gmail.com

76% match

Loading thumbnail…

Fork of Simple Bar Chart

This example shows the distribution of products across categories in a furniture dataset, using a bar chart to compare category counts. It fetches CSV data from a remote URL, parses it with `d3.csvParse`, and aggregates counts with `d3.rollup`. The visualization renders bars with `d3.scaleBand` and `d3.scaleLinear`, styled in steelblue, and includes axes via `d3.axisBottom` and `d3.axisLeft`. The SVG is created dynamically with `d3.create` and appended to the document body.

Ttejasviteegala@my.unt.edu

75% match

Loading thumbnail…

Fork of Bar Chart

This example displays a horizontal bar chart comparing two categories, female and male, by count, using data loaded from a CSV file. The visualization uses D3 v7 with SVG rendering, where `d3.scaleLinear` maps count values to bar widths and `d3.scaleBand` positions the categorical y-axis. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, with the x-axis formatted using `d3.format` to abbreviate large numbers. The chart is styled with steelblue rectangles and demonstrates a simple, clean layout with custom margins.

JJustin Roberts

75% match