Fork of Make a bar chart

100%

Fork of Make a bar chart

✓ Published0🌍 Public

Last edited Feb 27, 2023

Created on Feb 27, 2023

This example shows a horizontal bar chart ranking the top 10 most populous countries, drawing on population data from a CSV file. The chart displays country names along the y-axis and population values on the x-axis, formatted with tick labels using a compact scale. The visualization uses D3 v7’s `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with `axisBottom` and `axisLeft` to render axes. SVG rectangles are bound to data via `selectAll` and `enter`, with `csv()` loading the dataset asynchronously into a React-like structure.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Fork of Making a Bar Chart

This example visualizes the top 10 most populous countries as a horizontal bar chart, with population values scaled linearly and sorted by descending size. The chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render SVG bars and axes, while the `csv` loader imports population data from a local CSV file. Axis labels and a chart title are added via SVG text elements, and population tick labels are formatted using D3’s `format` function with abbreviations for billions.

0057SatvikDamera

92% match

Loading thumbnail…

Make a bar chart

This example shows a bar chart of the top 10 most populous countries, using population data from a CSV file. The visualization uses D3 v7 to create an SVG rendering, with a linear scale for population values on the x-axis and a band scale for country names on the y-axis. The code applies SVG `<rect>` elements filled with steel blue to represent each bar, and includes axis labels and tick marks with custom styling. Data is loaded via `csv()` and transformed with a multiplier before rendering.

Aaaron.chu626@gmail.com

92% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart ranking the populations of the top 10 most populous countries, with a linear scale for population values and a band scale for country names. The visualization uses d3.csv to load population data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisLeft and d3.axisBottom with custom tick formatting for labels. The chart renders to SVG with margin-based layout, includes gridlines from the x-axis, and applies a custom title and axis labels.

Llujinxuan-fang

91% match

Loading thumbnail…

Let's make a bar chart

This example shows a horizontal bar chart of the top 10 most populous countries, using population data from a CSV file. The chart displays the countries in descending order of population, with each bar’s length scaled linearly and the y-axis arranged as a band scale. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, rendering to SVG within a React app. It also formats tick labels with d3.format and uses a margin convention for layout.

Cckuchman

91% match

Loading thumbnail…

Making a bar chart

This example shows a horizontal bar chart of population counts for the top 10 most populous countries, using data from a CSV file. The bars are rendered as SVG rectangles, with a linear scale mapping population to bar width and a band scale for country labels. The code uses D3 v5 functions including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, with tick labels formatted via `format('.3s')`. A React starter template is referenced, though the visible implementation uses plain D3 with an SVG container.

NNkwachi Abel

91% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. It uses D3 v6’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs within a React-free SVG rendering. The data is loaded from a CSV file and parsed by multiplying the population column by 1000. Grid lines are drawn via tick size customization, and the left axis’s domain and tick lines are removed for a cleaner look.

Eestulo

91% match

Loading thumbnail…

Making a Bar Chart

This example shows a bar chart of the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. It uses React and D3 v5 to load data from a CSV file via `d3.csv`, then renders the chart as SVG. The code employs `d3.scaleLinear` and `d3.scaleBand` for positioning bars, and `d3.axisLeft` and `d3.axisBottom` for tick marks. The chart includes a title and a labeled x-axis, with bars styled in steel-blue via CSS.

Jjufrank

91% match

Loading thumbnail…

Bar chart

This example displays a horizontal bar chart ranking the top 10 most populous countries, using population data loaded from a CSV file via `d3.csv`. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and renders bars as SVG `rect` elements. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, with tick formatting applied through `d3.format` to abbreviate numbers. The visualization is built with React, D3 v6, and SVG rendering.

JJordy Fronik

91% match