Making a Bar Chart

Making a Bar Chart

This example displays a horizontal bar chart of the top 10 most populous countries, with population values formatted in billions. The chart uses D3 v5 APIs including `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` to render an SVG. Data from `data.csv` is loaded and multiplied by 1000 to represent actual population counts. The visualization includes a titled axis label and removes default axis lines for a cleaner presentation.

Jjulieducasse

Making a Bar Chart

This bar chart displays the top ten most populous countries, using horizontal bars ordered by population from largest to smallest. The visualization is rendered as an SVG using D3 v5, with data loaded from a CSV file. It employs `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis categories, and `d3.axisLeft` and `d3.axisBottom` to generate the axes. The chart’s bars are appended via a data join, with steelblue rect elements and labeled text.

Ccheeson

Making a Bar Chart

A horizontal bar chart displays the top 10 most populous countries, with population values in millions. The chart uses D3 v5 (via the `d3` object) and SVG rendering. The code loads data from `data.csv`, scales the population values by 1000, and uses `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis. It generates axes with `axisLeft` and `axisBottom`, applies a tick formatter converting G (giga) to B (billion), and removes default domain lines.

TTim

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, with each bar’s length proportional to the population value. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` for tick marks. Data is loaded from a CSV file via `d3.csv` and rendered as SVG rectangles styled with a steelblue fill.

Eexistentialist1888

Making a Bar Chart

This bar chart displays the top 10 most populous countries using a horizontal layout, with population sizes mapped to bar widths and country names on the y-axis. The chart is built with D3 v6, using `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` and `axisLeft` for ticks. Data is loaded from a CSV file, and the chart is rendered as SVG. The visualization includes axis labels, a title, and a custom tick formatter that converts large numbers to billions.

JJoshua Everett

Making a Bar Chart

This bar chart displays the top 10 most populous countries, with country names on the y-axis and population counts on the x-axis. The chart uses D3 v5’s `scaleLinear` and `scaleBand` to map data, `axisBottom` and `axisLeft` for axes, and SVG `rect` elements for bars. Population data is loaded from a CSV and scaled by a thousand. Axis ticks are styled with CSS, and the x-axis format converts large numbers to abbreviations like "B" for billions via D3's `format` function.

VVineel Gannu

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, with population values along the x-axis and country names along the y-axis. Using D3 v5, it loads data from an external CSV file and renders SVG rectangles via `selectAll('rect').data(data).enter()`. The scales are built with `scaleLinear` and `scaleBand`, while axes are generated with `axisLeft` and `axisBottom`. Population numbers are formatted using `format('.3s')` with “B” replacing “G” for billions.

Wwukangqian

Making a Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, using population figures from a CSV file. The bars are rendered as SVG rectangles, with a linear scale mapping population to bar width and a band scale positioning countries along the vertical axis. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, with a custom tick formatter that converts values from billions to a readable format. Axis labels and a chart title are added via SVG text elements.

RRafael Campos