make bar

making a bar chart

This visualization displays population data for the ten most populous countries using a horizontal bar chart encoded as SVG rectangles. The chart uses D3 v6’s `csv` loader to parse data, with population values scaled linearly via `scaleLinear` and country names mapped to bands with `scaleBand`. Axes are generated using `axisLeft`, while margins define the plotting area. The bars’ widths and vertical positions are computed from the scaled domains, and the data is multiplied by 1000 to represent actual population figures.

Nnexus1058

Making a bar chart

This example visualizes the ten most populous countries as horizontal bars, drawn with SVG rectangles. It maps population values to bar lengths using a linear scale and country names to vertical positions with a band scale. The visualization is built with D3 v5, using `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load data and render axes. The data comes from a CSV file and is processed by multiplying population figures by 1,000 before scaling.

Lleandermaerkisch

Making a bar chart

Top 10 most populous countries are visualized as circles whose horizontal position encodes population count and vertical position encodes country, creating a bar chart with circular bars. The example uses D3 version 5 APIs including `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` to render the SVG. Data loads from a CSV file containing country and population figures, which are multiplied by 1000. The visualization removes default axis domains and tick lines, and appends a title and axis label directly to the SVG group.

Kkatrinrodkina

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 populations of the ten most populous countries, using horizontal bars ordered by country name. The visualization loads data from a CSV file and renders SVG rectangles scaled with d3.scaleLinear and d3.scaleBand, with axes generated via d3.axisLeft and d3.axisBottom. Population values are multiplied by 1000 during data preparation, and the chart applies a fixed margin layout within an SVG container.

RRod Potter

Making a bar chart

A bar chart displays population figures for ten countries, with horizontal bars sorted by country name. The visualization loads data from a CSV file and renders it as SVG rectangles using D3 v5. It uses `d3.scaleLinear` for the population axis, `d3.scaleBand` for country categories, and `d3.axisLeft` and `d3.axisBottom` for labeled axes. Bar heights and widths derive from the dataset, with a steelblue fill applied via CSS.

Vvladvaculin

Making a bar chart

This example shows a horizontal bar chart of the ten most populous countries, using circles scaled by population size. It loads data from a CSV file and renders SVG elements with D3 v5’s `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` APIs. The chart includes custom tick formatting with `format('.3s')` to abbreviate population values and uses a margin-based layout with grid lines.

SShaun Kee

make bar

A horizontal bar chart displays population estimates for ten countries, from China to Mexico. The visualization encodes population values on the x-axis using a d3.scaleLinear, and country names on the y-axis with a d3.scaleBand. Data is loaded from a CSV file with d3.csv and rendered as SVG rectangles. The chart includes axes generated by d3.axisLeft and d3.axisBottom, while d3 v5 handles the scaling, selection, and data binding.

Fforeverworld1879