TEST WRAP 3

100%

✓ Published0🌍 Public

Last edited Jun 21, 2017

Created on Jun 21, 2017

This chart displays the number of issues per company from a tab-separated data file, with company names on the x-axis and frequency counts as bar heights. The bars render in SVG using `d3.svg.axis` for axes and `d3.scale.ordinal` for positioning, with text wrapping applied to long company labels. A tooltip is implemented via `d3-tip`, and hover effects change bar color. The chart includes a title and uses a linear y-scale with percentage ticks.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

TEST WRAP 2

This bar chart displays the number of issues per company from a tab-separated data file, with company names on the x-axis and issue counts on the y-axis. Each bar is rendered as an SVG rectangle with a steelblue fill that turns brown on hover. The visualization uses d3.svg.axis for both axes, a custom wrap function to handle long company names, and the d3-tip library for tooltips, though the tooltip content is only partially implemented.

LLGBY4

95% match

Loading thumbnail…

TEST WRAP 5

This bar chart visualizes the number of issues associated with various company entities, with each bar’s tooltip revealing the specific country. Rendered as an SVG using D3 version 3, it employs an ordinal x-axis scaled into banded ranges. Long company names are wrapped into multiple lines on the x-axis via a custom `wrap` function that uses `tspan` elements, and the y-axis uses a linear scale. The chart loads its tab-separated data asynchronously with `d3.tsv`, and interactive tooltips are implemented using the `d3-tip` library.

LLGBY4

92% match

Loading thumbnail…

TEST WRAP 4

This bar chart displays the number of issues associated with various company entities, grouped by country, using data loaded from a tab-separated values (TSV) file. Rendered as scalable vector graphics (SVG) with D3.js v3, the visualization uses an ordinal x-scale, a linear y-scale, and `d3.svg.axis` for both axes. Hovering over a bar triggers a tooltip created with the `d3-tip` library to show the exact issue count and country. The x-axis labels are wrapped onto multiple lines with a custom `wrap` function to accommodate long company names.

LLGBY4

92% match

Loading thumbnail…

Wrap Long Labels Bar Chart

This example uses D3 v3 to create a horizontal bar chart with wrapped axis labels. It displays the number of issues per company from a tab-separated data file, with each bar’s frequency shown on hover via the d3-tip plugin. The chart applies an ordinal x-scale and linear y-scale, formatting the y-axis ticks as percentages. Long company names are automatically broken into multiple lines using a custom `wrap` function that checks text length against the bar width, and the SVG rendering includes styled axes, hover color changes, and a bold title.

LLGBY4

86% match

Loading thumbnail…

fresh block

This example shows a horizontal bar chart of the number of issues per company, with company names on the x-axis and value counts on the y-axis. Long company names are wrapped onto multiple lines using a custom `wrap` function that splits text and creates `tspan` elements. The chart is built with D3 v3, using an ordinal scale for the x-axis, a linear scale for the y-axis, and SVG rectangles for bars. The data is loaded as TSV from `data.tsv`, and a `d3-tip` tooltip is attached for mouseover interactions, though its content is currently left empty.

LLGBY4

80% match

Loading thumbnail…

Test Wrap 6

A bar chart displays the number of issues associated with various Ascender-related legal entities, grouped by their country of registration. Each bar's height encodes the numeric value from the TSV data source, while hover interaction uses `d3.tip` to reveal the specific count and country for each bar. The visualization is rendered as SVG, using `d3.scale.ordinal` for the horizontal axis with a custom text-wrapping function to handle long entity names on the x-axis, and `d3.scale.linear` for the vertical axis. The chart is styled with CSS classes for bars, axes, and the tooltip, and it is built with D3.js version 3.

LLGBY4

79% match

Loading thumbnail…

testing

This example visualizes the lifespan of companies by grouping them into age categories based on their incorporation and dissolution dates. The bar chart displays five age brackets (0-3, 4-7, 8-11, 12-15, and more than 15 years) with the height of each steel-blue rectangle representing the count of companies in that range. The code uses D3 v5’s `scaleBand`, `scaleLinear`, `axisLeft`, and `axisBottom` to construct and render the SVG chart from a CSV file, with company names also parsed to count term frequencies.

BBarryC7

74% match

Loading thumbnail…

Test

A bar chart displays count values from a CSV file across a categorical axis. The chart uses D3 v4 to load the data with `d3.csv`, scales the counts with `d3.scaleLinear` and the category positions with `d3.scaleBand`, and renders axes via `d3.axisBottom` and `d3.axisRight`. The SVG plot is positioned with margins, and the code includes calls to `getBoundingClientRect` to determine the available space. The visualization is built as a static SVG graphic with no interactive features.

GGoomble

73% match