Making a Bar Chart

Making a bar chart

A horizontal bar chart displays country populations from a CSV file, with bars colored steel blue and axes labeled. The visualization is built with D3 v5, using `d3.csv` to load data, `d3.scaleLinear` and `d3.scaleBand` for scales, and `d3.axisBottom` with tick formatting. SVG elements are appended and transformed via D3 selection methods.

Nnikeshkv

Making a Bar Chart

This example shows a horizontal bar chart of country populations using SVG rendering. The visualization maps population values to bar widths and country names to vertical bands, with axes labeled via `d3.axisLeft` and `d3.axisBottom`. The code loads data from a CSV file using `d3.csv`, scales the population figures, and appends rectangular elements with `d3.selectAll` and `.enter()`. The chart uses `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis, with the bars styled in steel blue via CSS.

Nnilimi

Making a bar chart

This example shows a horizontal bar chart of country populations, with bars rendered in steel blue and value labels along the x-axis. It loads data from a CSV file, converting population values to thousands before scaling. The visualization uses D3 v6’s `scaleLinear` and `scaleBand` for positioning, with `axisLeft` and `axisBottom` for ticks, and appends SVG `rect` elements within a margin-based group.

PPredrag Nikolic

Making a bar chart

This example displays a horizontal bar chart of country populations, sourced from a CSV file and rendered as an SVG. The D3.js library maps population values to bar lengths using a linear scale, while country names define the categorical axis. Explicitly coded axis generators, `axisLeft` and `axisBottom`, place labels for interpretation. The bars are drawn by appending `rect` elements, whose width is derived from the scaled population data, and the visualization is styled with steelblue fills, as seen in the accompanying CSS.

SSamuel Elbaz

Making a Bar chart

This example shows a horizontal bar chart of population data for ten countries, using bars colored steelblue on an SVG canvas. The chart is built with D3 v5, using `d3.csv` to load data, `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` for the axes. The data is loaded from a CSV file and multiplied by 1000 to display full population counts.

Nnoelmiranda

Making a Bar Chart

This example displays a horizontal bar chart of population figures for the world’s most populous countries, with each bar’s length proportional to its population value. The visualization uses D3 v5’s `scaleLinear` and `scaleBand` to map data to pixel coordinates, while `axisLeft` and `axisBottom` render the country labels and numeric scale. Data is loaded from a CSV file via `d3.csv` and rendered as SVG rectangles with a fixed steel-blue fill, using the `selectAll` data-join pattern to bind and append elements.

Yyubeichen0826

Making a Bar Chart

A horizontal bar chart displays the populations of the ten most populous countries, with bars rendered as steelblue rectangles. The chart uses D3 v5's `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, with `axisLeft` and `axisBottom` generating the tick labels. Population values from the CSV are multiplied by 1,000 during data loading. The SVG output is positioned using margin translations, and bars are appended to a group element with heights determined by the bandwidth method.

BblakeCS

Making a Bar Chart

This example displays a horizontal bar chart of country populations. The chart uses a linear scale for the population axis and a band scale for country names, with bars colored steelblue. The code loads data from a CSV file, converts the population values from strings to numbers, and multiplies by 1000. It uses D3 v5 with SVG rendering, building the visualization through API functions like `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`.

LLucas Meirelles