Fork of Customizing Axes

Fork of Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization demonstrates customized D3 axes, including formatted tick labels that convert large numbers into abbreviated units and grid lines extending across the chart. It uses D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG chart, with data loaded from a CSV file. Styling for the chart, including font sizes and fill colors, is defined in an external stylesheet.

Dddan0

Fork of Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It highlights custom D3 v5 axis styling, including tick formatting that converts abbreviations (e.g., G to B), grid lines, and labeled axes. The visualization uses d3.scaleLinear and d3.scaleBand to map population and country names, with d3.axisBottom and d3.axisLeft for rendering. Data is loaded via d3.csv, and the SVG output is styled with custom CSS for fonts, colors, and margins.

Pprats-mh

Fork of Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The visualization demonstrates customized D3 axes, with horizontal gridlines and formatted tick labels that abbreviate large numbers (e.g., converting billions to "B"). Built with D3 v5, the code uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG elements, loading data from a CSV file. The chart also includes a title and axis label with custom styling.

NNithish John Paull

Fork of Customizing Axes

This bar chart visualizes the populations of the top ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart demonstrates customized axes, including formatted tick labels that convert large numbers to billions via `d3.format`, and colored reference gridlines. Built with D3 v5, the visualization uses `d3.scaleLinear` and `d3.scaleBand` for scaling, and `d3.axisBottom` and `d3.axisLeft` for axes. The data is loaded from a CSV file and rendered as SVG rectangles.

LLulu

Fork of Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization highlights customized D3 axes, including a modified tick format that converts values from billions to a readable form. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to render the SVG chart, with custom styles for tick text, labels, and the title.

YYasara Peiris

Fork of Fork of Customizing Axes

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 demonstrates customized D3 axes, featuring a horizontal bar chart rendered with SVG. The code uses D3 v5 utilities such as `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to construct the plot, with custom tick formatting that converts billions into a readable format. The chart includes styled gridlines, axis labels, and a title, with data loaded from a CSV file.

UUpamanyu-ml

Fork of Customizing Axes

This bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization demonstrates custom D3 axes, including formatted tick labels that convert values to billions and styled tick lines. Built with D3 v5, the code uses `csv` to load data, `scaleLinear` and `scaleBand` for positioning, and `axisBottom` and `axisLeft` for rendering axes. The SVG rendering includes custom labels for the title and x-axis, with styling applied via external CSS.

SShdnShmli

Fork of Customizing Axes

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 customizes D3 v5 axes with d3.scaleLinear and d3.scaleBand, using d3.axisBottom and d3.axisLeft for tick formatting and gridlines. Bar widths correspond to population values, with labels styled via CSS classes. The chart is rendered as SVG, with data loaded from a CSV file and formatted using d3.format to abbreviate large numbers.

Rraghesh99