Making a Bar Chart

Making a Bar Chart

This example visualizes the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017. A static SVG bar chart displays countries along the vertical axis and population values along the horizontal axis, with steelblue bars sized by `d3.scaleLinear` and `d3.scaleBand`. The code loads data from a CSV file via `d3.csv`, converts population figures, and renders axes with `d3.axisLeft` and `d3.axisBottom`.

Jjmarcrum3

Making a Bar Chart

This example presents a horizontal bar chart of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The bars are rendered as SVG rectangles with a steelblue fill, and the chart includes customized D3 axes: a left axis with country names and a bottom axis with formatted population labels. The code uses D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format` to load the CSV, compute scales, and draw the visualization.

MMukadder Cinar

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The chart uses an SVG rendered with D3 v5, importing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the `d3` module. Population values from the CSV are converted to numbers and multiplied by 1000 before being mapped to bar widths. The y-axis positions country names, while the x-axis scales population linearly, with steelblue bars and labeled axes.

YYanxiangZhu

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It shows how D3 v5’s `scaleLinear` and `scaleBand` map population values to bar widths and country names to vertical positions, respectively. The chart renders as SVG rectangles with a steelblue fill, and axis customization is demonstrated through the use of `d3.axisBottom` and `d3.axisLeft`. Population data, stored in a CSV and loaded via `d3.csv`, is multiplied by 1000 for accuracy.

Nnvelden

Making a Bar Chart

A bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations’ World Population Prospects 2017. The chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the bars, with axes customized to remove domain lines and format population ticks in billions. SVGs are generated dynamically via `csv()` loaded data, and the chart includes a title and x-axis label.

Sswvogt

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects 2017. It demonstrates customized D3 v5 axes and a linear scale for population values, with a band scale for country names. The code imports specific APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and formats tick labels using `format('.3s')`. Data is loaded from a CSV file and rendered as SVG rectangles with a steelblue fill.

Zzilvus

Making a Bar Chart

This bar chart displays the top 10 most populous countries in 2018, using population estimates from the United Nations World Population Prospects 2017. It renders horizontal bars with D3 v5’s `scaleBand` for the y-axis and `scaleLinear` for the x-axis, using `axisLeft` and `axisBottom` for ticks. The data is loaded from a CSV via `d3.csv`, with population values multiplied by 1000. The SVG output uses `g.selectAll('rect')` to draw each bar, styled with a steelblue fill.

IIyke2909

Making a Bar Chart

This example shows a bar chart of the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The visualization uses D3 v5 to load CSV data, scale linearly for the x-axis population values, and scale band for the y-axis country categories. The SVG rendering includes axis labels via axisBottom and axisLeft, with rectangular bars filled in steelblue. Data preprocessing multiplies the population values by 1000 to reflect actual counts.

Rrblue36