Bar Chart

100%

✓ Published1🌍 Public

Last edited Sep 19, 2022

Created on Sep 19, 2022

Forked from Untitled

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.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Chart

This bar chart displays yearly counts from a CSV dataset, with steel-blue rectangles representing each year’s value. The visualization uses D3 v5 to load and parse the data, then applies `scaleLinear` for the horizontal axis and `scaleBand` for vertical positioning. SVG elements are appended directly to the chart, with axes omitted from the final rendering. The bars scale in width according to the year values while maintaining equal heights for each band.

EErik Rudhe

86% 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

84% match

Loading thumbnail…

D3.js Bar Chart Example

This D3.js example shows a straightforward bar chart of categorical data with axes and labels, visualizing values for five categories (A through E). The visualization renders as an SVG, using D3 v6's modular imports including `scaleBand`, `scaleLinear`, `axisLeft`, and `axisBottom` to map the dataset to bar positions and heights. The chart reads its data from a CSV file via `d3.csv`, converting the population column to numeric values, while the styling uses steelblue fills for the bars.

BBhavanaGIrni

83% match

Loading thumbnail…

Bar Chart

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.

Ssreesushmav

83% match

Loading thumbnail…

Bar Graph

This bar graph displays five categorical values (ranging from 10 to 30) as steelblue rectangles. Built with D3 v7, the visualization uses `d3.scaleBand` to position categories along the x-axis and `d3.scaleLinear` for the y-axis, with coordinates mapped to 400-by-300-pixel SVG dimensions. The code renders axes using `d3.axisBottom` and `d3.axisLeft`, drawing the chart into an HTML container.

SSriyaI

82% match

Loading thumbnail…

Making a bar chart

A horizontal bar chart displays country populations from a CSV file, with bars colored steel blue and axes labeled. The visualization is built with D3 v5, using `d3.csv` to load data, `d3.scaleLinear` and `d3.scaleBand` for scales, and `d3.axisBottom` with tick formatting. SVG elements are appended and transformed via D3 selection methods.

Nnikeshkv

82% match

Loading thumbnail…

Bar Chart Visualization

This bar chart displays the population of various countries from a CSV dataset, using steel blue bars on a gray background. D3.js v7 loads the data via `d3.csv` and renders the visualization as SVG rectangles scaled with `d3.scaleBand` and `d3.scaleLinear`. Each bar includes a white text label above it showing the population value. The chart is fixed at 600 by 400 pixels within a styled container div.

HHarshithaAmbilpur

82% match

Loading thumbnail…

Untitled

This example shows a simple bar chart where each rectangle is rendered in steelblue, with a single text label displayed beneath the visualization. The chart uses D3.js to bind data from a CSV file to SVG elements, mapping values to rectangle heights. The code relies on D3’s selection and data-join methods to append the `rect` and `text` elements, while the page layout is controlled by CSS, setting margins to zero and hiding overflow for a full-window display.

AAndrew-Kiwa

82% match