Making a Bar Chartt

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 populations of the top 10 most populous countries from a 2018 United Nations estimate. It uses D3 v5 to load CSV data, scale to a linear x-axis and banded y-axis, and render SVG rectangles for bars. The code specifically leverages `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, with population values multiplied by 1000 for display.

DDavid Trye

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. The visualization maps population values to horizontal bar widths using `d3.scaleLinear`, while country names are positioned on a categorical `d3.scaleBand` axis. The chart renders as SVG, with axes created via `d3.axisLeft` and `d3.axisBottom`, and data loaded from a CSV file using `d3.csv`.

DDaniel Piqué

Making a Bar Chart

A bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects 2017. The chart is rendered as an SVG and includes both horizontal and vertical orientations. Built with D3 v5, it uses `scaleLinear` and `scaleBand` for axes, `axisLeft` and `axisBottom` for ticks, and a dropdown menu to potentially switch the displayed metric. Data is loaded via `csv` from an external dataset.

Mmilka-pi

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017 data. The data is loaded from a CSV file and rendered as SVG rectangles. The visualization uses the D3 v5 library, specifically the `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to map population values to bar widths and country names to vertical bands. The chart includes labeled axes and bars filled with a steel blue color.

Llisacaligagan

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The chart uses D3 v5 with SVG rendering, employing `scaleLinear` and `scaleBand` for positioning, and customizes the axes with `axisLeft` and `axisBottom`. Population values are loaded from a CSV file and formatted with a custom tick format that abbreviates large numbers. The visualization also includes axis labels and a title, with gridlines created through the x-axis tick size.

PPhilippe Rigovanov

Making a bar chart

This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the UN’s World Population Prospects 2017. The data is loaded from a CSV file and rendered as SVG rectangles. The chart uses d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisLeft and d3.axisBottom to generate the axes.

CConnor Bailey

Making a Bar Chart

This example shows the population of the top 10 most populous countries from the 2018 United Nations World Population Prospects estimate. The bar chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to map the data, with bars rendered as SVG `rect` elements. It customizes the chart’s margins and axis labels, while the data is loaded from a CSV file using `d3.csv`.

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