Making a Bar Chart

100%

Making a Bar Chart

✓ Published1🌍 Public

Last edited Aug 31, 2020

Created on Aug 31, 2020

Forked from Lets make a face with d3.js!

This horizontal bar chart displays the populations of the world’s ten most populous countries, with China and India leading by a wide margin. Built with D3 v6 in a React framework, it uses `d3.csv` to load population data, `scaleLinear` and `scaleBand` for positioning, and `axisLeft` and `axisBottom` for labeled axes. SVG rectangles are rendered per country, with the data values multiplied by 1000 to reflect actual population figures, and styled with a steelblue fill.

AI-generated description

A bare minimum HTML page.

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, using horizontal bars arranged in descending order. The visualization uses D3 v5 within a React framework, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis. The code loads data from a CSV file via `d3.csv`, renders SVG rectangles, and includes `axisLeft` and `axisBottom` for labeled axes. The chart emphasizes the stark population differences, with China and India leading by a significant margin over the United States.

Sshreyagoddu

94% match

Loading thumbnail…

Making a Bar Chart

This horizontal bar chart displays the populations of the world’s ten most populous countries, with China and India leading by a wide margin. The visualization uses D3 v5 to load data from a CSV file, scaling population values linearly along the x-axis and country names along a band scale on the y-axis. SVG rectangles are appended and sized using D3’s scaleLinear and scaleBand, while axisLeft and axisBottom generate the labeled axes. The chart is styled with a steelblue fill for the bars.

JJMason88

93% match

Loading thumbnail…

D3 Bar Chart - Axes

This bar chart displays the populations of the world’s ten most populous countries, from China down to Mexico, with horizontal bars sized by population. The visualization uses D3 v5’s `scaleLinear` and `scaleBand` to map data values to positions, and `axisLeft` and `axisBottom` for the country and population axes. It loads data from a CSV file, converts population figures, and animates bar growth via `transition`. The chart is rendered as SVG within a React project, with styling controlled by an external stylesheet.

Ssathishkottravel

91% match

Loading thumbnail…

Making Bar Chart!

This bar chart displays population counts for the ten most populous countries, using horizontal bars ranked from China down to Mexico. The visualization is built with React and rendered as SVG, using d3.scaleLinear for the x-axis population scale and d3.scaleBand for the y-axis country categories. Data is loaded asynchronously via d3.csv from data.csv, with population values multiplied by 1000. The chart appends rectangles to the SVG, with each bar’s width proportional to its population and height set by the band scale’s bandwidth.

JJean

91% match

Loading thumbnail…

Making a bar chart

This bar chart displays the population of the top 10 most populous countries, with China and India leading by a significant margin. The visualization uses D3 v5’s `scaleLinear` for the x-axis and `scaleBand` for the y-axis, rendering SVG rectangles. Data comes from the World Population Prospect 2017, with raw values multiplied by 1000. The chart includes formatted tick labels via `axisBottom` with a custom `.3s` format, a population axis label, and a title, all styled with tomato-colored bars and a Ubuntu font.

JJenny

91% match

Loading thumbnail…

Making a bar chart

This bar chart ranks the populations of ten countries in 2018, showing China and India as the most populous. The visualization uses D3 version 6 with an SVG rendering. The code imports `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from D3 to construct the axes and scales. It reads population data from a CSV file, multiplies each value by 1000, and draws steel-blue rectangles with widths proportional to population, using margins and a padded band scale for country labels.

WWayne716

90% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the world’s most populous countries, ranked vertically from China to Slovenia, with horizontal bars indicating relative population sizes. It uses D3 v5’s `scaleLinear` and `scaleBand` to map population values and country names, respectively, while rendering as SVG. The code loads CSV data via `d3.csv`, applies a custom tick formatter to abbreviate large numbers (e.g., converting billions), and styles bars with steelblue fill.

Ffarmanali0303

90% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the world’s ten most populous countries, with each bar’s length proportional to population in thousands. The React app uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data and render axes, while SVG `rect` elements are bound to the data via selections.

Ggilbster

90% match