Making a Bar Chart

Making a Bar Chart

This bar chart shows the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The code uses d3.csv to load the data, then renders SVG rectangles scaled with d3.scaleLinear and d3.scaleBand. It customizes the axes by calling d3.axisLeft and d3.axisBottom, and applies a fixed margin layout with a steelblue fill for the bars.

Nnshedd

Making a Bar Chart

This example presents a horizontal bar chart of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization customizes D3 axes by removing domain lines and tick lines, formatting population values with `format('.3s')` to abbreviate billions, and adding a title and axis label. Data is loaded from a CSV file, scaled with `scaleLinear` and `scaleBand`, and rendered as SVG rectangles. The code imports specific D3 v5 modules including `csv`, `scaleBand`, `scaleLinear`, `axisLeft`, and `axisBottom`.

AAmit Kumar Sharma

Making a Bar Chart

This bar chart displays the top 10 most populous countries, with population values from a 2018 United Nations estimate. It demonstrates customizing D3 axes, including formatted tick labels that convert large numbers to abbreviations. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisLeft and d3.axisBottom for the axes, rendered as SVG.

AAmit Kumar Sharma

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, based on 2018 estimates from the United Nations World Population Prospects. Built with D3 v5 and rendered as SVG, the example uses `d3.csv` to load the data, `scaleLinear` and `scaleBand` for scales, and `axisLeft` and `axisBottom` for customizable axes, with bars styled via CSS.

Aadvaitkulkarni08

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. Built with D3 v5, it renders SVG bars using `scaleLinear` for the x-axis and `scaleBand` for the y-axis. The axes are customized via `axisBottom` and `axisLeft`, with a group element applying margins for layout. Data is loaded from a CSV file, with population values converted to numbers before rendering.

AAdrianTNare

Making a Bar Chart

This bar chart visualizes the populations of the top 10 most populous countries using 2018 United Nations data. It uses d3.scaleLinear for the x-axis population scale, d3.scaleBand for the categorical y-axis, and renders as SVG. The code loads data from a CSV via d3.csv, converts population values to thousands, and appends axis components with d3.axisLeft and d3.axisBottom to a transformed group.

HHeschmat

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. The code loads data from a CSV file and renders rectangular bars with an SVG, using d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.axisLeft and d3.axisBottom for the axes. The chart is built with D3 v5 and styled with steelblue rectangles.

Jjuanandressr97