Skip to main content
SimilarExport ZIP
100%

Bar Chart

✓ Published0🌍 Public
Ssreesushmav
Last edited Mar 12, 2023
Created on Mar 12, 2023
Forked from D3 Starter

This example shows a bar chart that visualizes numeric values associated with categorical labels from a CSV file. The chart is rendered on an HTML canvas using the Chart.js library, with data fetched from a remote GitHub gist. The code parses the CSV rows, extracts the label and value columns, and configures a bar chart with blue semi-transparent bars and an axis that begins at zero. No other interaction or animation is present.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Chart

This bar chart displays categorical data from a CSV file, with steel-blue rectangles representing values across categories. The visualization uses D3.js to load and bind the data, then scales the rect elements’ heights and positions based on the dataset. Text labels accompany each bar, rendered via SVG. The styling, including margins and font sizes, is defined in a separate stylesheet, while the chart is generated dynamically in an HTML page that reads the data source.

AAndrew-Kiwa
83% match
Loading thumbnail…

Bar chart

This bar chart displays categorical data from a CSV file, mapping values to vertical bars within an SVG container. The example uses D3 v6’s `select` and `csv` methods to load and parse the external dataset, while the SVG’s width and height attributes are read to define the chart’s dimensions. Currently, the code logs the parsed data to the browser’s developer console but does not render any bars, serving as a minimal starting point for a React-based visualization.

SShirish Kandra
82% match
Loading thumbnail…

Bar Chart

This example presents an animated bar chart of country values, with data loaded from a CSV file. The chart visualizes numerical values for each country using horizontal bars, with axes positioned on the left and bottom. It imports D3 functions like `csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to construct the visualization. The bars transition in width over 800 milliseconds, with each bar sequentially delayed using `transition.duration` and `delay`. The SVG rendering includes a styled message from a local ES6 module, all within a pink-background container.

Mmok3bat
81% match
Loading thumbnail…

Bar Chart

A bar chart displays categorical data as vertical bars, with height encoding numeric values. The visualization is built with React and rendered as SVG, using D3 v7's `select` and `attr` methods to configure the chart's width and height directly from the SVG element. The data is loaded from an external CSV file, and the chart uses a fixed 960x500 pixel viewport for consistent presentation.

BBenjamin Gorman
80% match
Loading thumbnail…

Bar Chart

A bar chart displays dummy data with nine index-value pairs, using a linear color scale for fill intensity so higher values appear darker blue. The chart renders bars in an SVG, with a quantitative x-axis and categorical y-axis, and includes titles and gridlines. The implementation uses d3.csv to load data, d3.scaleLinear for both the color interpolation and x-axis domain, d3.scaleBand for the y-axis, and d3.axisLeft and d3.axisBottom with tick formatting for readable labels.

MMert Gürkan
79% match
Loading thumbnail…

Bar Graph

This example renders a static bar graph using D3.js, displaying categorical data as vertical bars. The visualization maps each data point to a rectangular bar, with bar height proportional to the value. It uses D3's scale functions to compute the x and y positions, along with SVG elements for rendering. The chart includes axes for reference and labels for readability. The data is hardcoded within the script rather than loaded from an external file, and the bars are styled with a uniform fill color.

SSathviKankanala@my.unt.edu
79% match
Loading thumbnail…

let's make a bar chart.js

This example displays a horizontal bar chart mapping categorical country labels to numeric values from a CSV file. The visualization uses D3.js v5 APIs including `scaleLinear` for the value axis and `scaleBand` for the country axis, with SVG rectangles rendered inside a 960×500 canvas. The data is loaded asynchronously via `csv`, and the chart is generated entirely from the provided data.csv dataset, showing one bar per country with widths proportional to the parsed value field.

HHaifan Li
78% match
Loading thumbnail…

bar chart

This example shows a small, static bar chart of five categorical values, with each bar colored individually and labeled A through E. The chart displays the data using SVG rectangles, with linear and ordinal scales mapping the values to positions and heights. The code uses d3.js version 3.5, specifically d3.scale.linear and d3.scale.ordinal, along with d3.svg.axis for the x and y axes. The data is hard-coded in the script and rendered on a light grey canvas with margins applied via a group transform.

MMoximillian
78% match