Making a Bar Chart

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 populations of the top 10 most populous countries in 2018 according to United Nations estimates. It uses D3 v5 with SVG rendering, employing `d3.scaleLinear` for the horizontal population axis and `d3.scaleBand` for the categorical country axis. The code loads data from a CSV file and converts population values from strings to numbers, appending rectangles and axes via `axisLeft` and `axisBottom`.

Cchrisvaillancourt

Making a Bar Chart

This bar chart shows the population of the top 10 most populous countries based on 2018 United Nations estimates, with countries on the y-axis and population values on the x-axis. It uses D3 v5 to load the CSV data, apply a linear scale for population and a band scale for countries, and render SVG rectangles with formatted tick labels via `axisBottom` and `axisLeft`. The chart is drawn inside an 800×480 SVG element with margins, and the axes are customized by removing domain lines and tick lines on the y-axis.

VVincent Ko

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, based on 2018 United Nations estimates. It uses D3 v5 APIs including `csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the visualization as SVG. The chart customizes axes by removing domain lines and ticks, and formats population labels using `format('.3s')` with a custom “B” suffix for billions. The data loads from the local `data.csv` file and is preprocessed by multiplying values by 1000.

CCurran Kelleher

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 uses D3 v5 to load the data from a CSV and render an SVG with linear and band scales. The chart applies `scaleLinear` for the population axis and `scaleBand` for the country categories, while `axisLeft` and `axisBottom` handle tick marks. Population values are formatted in abbreviated units (e.g., "B" for billions) via the `format` API.

Rraphman100

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. The D3 v5 code loads data from a CSV file and uses `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis, with `axisLeft` and `axisBottom` for rendering tick marks. Population values are multiplied by 1,000, and rectangular bars are appended to an SVG, styled with steelblue fill.

Hhirokat

Making a Bar Chart

This bar chart shows the populations of the top 10 most populous countries based on 2018 estimates from the UN’s World Population Prospects, with each bar labeled by country and scaled to population. Built with D3 v5, the visualization uses `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft` and `axisBottom` for the ticks, all rendered as SVG via `select` and `append`. The data is loaded from a CSV file using `csv`, with population values multiplied by 1,000, and the chart is drawn inside an SVG container with margins and steelblue rectangles.

JJacob van Lingen

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. The visualization uses D3.js v5 with SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis to position bars. The code implements axes with `axisLeft` and `axisBottom`, and loads data from a CSV file via `d3.csv`. Rectangles are appended to an SVG group using a margin convention, with populations converted from thousands to absolute numbers.

Mmargaretgoode