Bar Chart v4

100%

✓ Published0🌍 Public

Last edited Jan 31, 2018

Created on Jan 31, 2018

This example visualizes a categorical bar chart of Sri Lankan city names and their corresponding counts, loaded from a local JSON file. The chart shows only the x-axis with city labels, while the y-axis and bars are not rendered in the provided code. Built with D3 v4, it creates an SVG container sized 400 by 500 pixels, using a `d3.scaleBand` for the x-axis and `d3.axisBottom` to display the category ticks. The data is fetched asynchronously via `d3.json`, and the axis is positioned using margin-based translation, though the visualization remains incomplete.

AI-generated description

Built with blockbuilder.org

forked from <a href='http://bl.ocks.org/Dlanka/'>Dlanka</a>'s block: <a href='http://bl.ocks.org/Dlanka/2544b72b6533b2e7d2b772cbe97c637c'>Bar Chart v4</a>

forked from <a href='http://bl.ocks.org/Dlanka/'>Dlanka</a>'s block: <a href='http://bl.ocks.org/Dlanka/341e22d73b89b329fa9f76cd33678818'>Bar Chart v4</a>

mit Licensed

Similar vizzes

Loading thumbnail…

Advance Chart

This chart displays the distribution of counts across six Sri Lankan cities, with each city represented on the x-axis and its corresponding count on the y-axis. It uses a simple bar-less axis-only layout, showing only the scales and ticks without plotted bars or marks. Built with D3.js v4, the code loads data from a local JSON file, defines linear and ordinal scales, and renders axes via `d3.axisLeft` and `d3.axisBottom` appended to an SVG container. The visualization focuses on axis construction and data binding, leaving the actual data representation absent.

DDlanka

83% match

Loading thumbnail…

Simple bar graph in v4

This example presents a simple bar graph built with d3.js v4, displaying county populations from a CSV file fetched via a remote URL. The chart uses `d3.scaleBand` for the categorical x-axis and `d3.scaleLinear` for the numeric y-axis, with axes generated by `d3.axisBottom` and `d3.axisLeft`. Bars are rendered as SVG rectangles with a steelblue fill that turns brown on hover, and the data is loaded asynchronously with `d3.csv`. The layout is fixed to the viewport with margins and explicit SVG dimensions.

MMTClass

75% match

Loading thumbnail…

Bar Chart v4

This is a minimal bar chart example built with D3.js v4, rendered as an SVG. It creates an empty SVG canvas with fixed dimensions of 960 by 500 pixels, appended directly to the body. The code does not include any data or bar-rendering logic; it only sets up the SVG container. The example serves as a starting point for building a bar chart, using D3’s selection and append methods to initialize the visualization structure.

DDlanka

75% match

Loading thumbnail…

D3 DataBinding

This example demonstrates a simple bar chart that visualizes municipal census data from a JSON file, showing municipality names alongside their census values. The visualization uses D3 v5’s data join pattern to bind dataset elements to SVG rectangles and text labels, sorting bars in descending order and scaling bar widths with `d3.scaleLinear`. The code loads data asynchronously via `d3.json` and renders two separate SVG containers, though only the first is populated. Text labels are positioned manually without an x-coordinate, leaving them at the SVG’s default origin.

663anp3ca

73% match

Loading thumbnail…

CITY ATTRIBUTES

This visualization uses a city attributes dataset to display the geographic distribution of cities in a scatter plot, plotting longitude against latitude as steelblue circles. It then presents a bar chart that aggregates the data by country, showing the count of cities per nation using D3.js’s `d3.rollup` for grouping and `scaleBand`/`scaleLinear` for axes. The SVG rendering relies on D3 v7, with both charts generated from a CSV file fetched via `d3.csv`. Axes are added using `d3.axisBottom` and `d3.axisLeft`, while the bar heights reflect the computed country counts.

CChaturyaAkhilaPallem@my.unt.edu

73% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of several global cities, with each bar’s length representing a city’s population. The visualization uses D3 v7 to load a CSV file, then applies `scaleLinear` for the x-axis population scale and `scaleBand` for the y-axis city categories. SVG rectangles are appended and sized using these scales, with `axisLeft` and `axisBottom` rendering the labeled axes. The chart is styled with steelblue fills and a fixed 960×500 SVG canvas.

Ssheafallick

72% match

Loading thumbnail…

Bar Chart using D3.js

This visualization presents a simple bar chart of a fixed dataset representing eight numerical values, rendered as SVG rectangles using D3.js v4. The chart does not display axes or labels, relying instead on the raw bar lengths to convey magnitude against an implicit baseline. Using the `d3.select` and `selectAll` APIs, the code generates each bar’s height proportionally to its data value and applies a translate transform to position bars side by side with a fixed padding. The underlying data appears to be an arbitrary array rather than the UN population data referenced in the README, and the chart updates only on load with no interactive elements.

TTajallah-maryam

72% match

Loading thumbnail…

Bar chart

A bar chart displays the populations of ten Finnish cities, ordered by name along the vertical axis with population values extending horizontally. The visualization uses d3.scaleBand for the categorical city axis and d3.scaleLinear for the continuous population scale, rendering bars as SVG rectangles with a steelblue fill. Data is loaded from a CSV file using d3.csv, then parsed to convert population strings to numbers before binding to the scales. Axes are generated with d3.axisLeft and d3.axisBottom, all within a React-agnostic D3 v5 setup.

JJari Sedergren

72% match