Fork of Customizing Axes

Fork of 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, with data loaded from a CSV file. It showcases customized D3 v5 axes, using `d3.scaleLinear` for the population scale and `d3.scaleBand` for countries. The code applies tick formatting with `d3.format`, removes axis domains, and uses `d3.axisBottom` and `d3.axisLeft` to render the scales. A title and axis label are added, with styled SVG text and steelblue rectangles for bars.

Ddankvader1

Fork of Customizing Axes

This bar chart shows the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It demonstrates customized D3 v5 axes, including a linear population scale on the x-axis with tick labels formatted in billions and an ordinal band scale for country names on the y-axis. The SVG rendering includes removed axis domain lines, a custom x-axis label, and a title, with all data loaded from a CSV file via `d3.csv`.

IIsigned

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 chart employs D3's `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and customizes the axes with `axisBottom` and `axisLeft`. Tick labels are formatted using `format`, converting values to billions with a custom replacement. Data is loaded from a CSV file, and the SVG rendering includes styled tick lines, axis labels, and a title.

Ddagomezb

Fork of Customizing Axes

This bar chart visualizes the populations of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It demonstrates customized D3 axes, with a linear x-axis for population and a band y-axis for country names. The code employs d3.csv, scaleLinear, scaleBand, axisBottom, axisLeft, and format to render an SVG, simplifying tick labels like “B” for billions and removing unnecessary axis lines.

Bblackbirdsinging

Fork of Customizing Axes

This bar chart displays the population of the ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization customizes D3 axes with a linear x-axis using population values and a banded y-axis for country names, applying tick formatting that converts abbreviations like ‘B’ for billions. Built with D3 v5, the SVG chart uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render bars and grid lines, with data loaded from a CSV file.

Hheartbreaks

Fork of Customizing Axes

This bar chart visualizes the populations of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. It demonstrates customizing D3 axes by removing default lines, adding tick marks with abbreviated number formats, and styling labels with CSS. The code uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG chart. Population values are multiplied by 1000, with tick labels formatted using D3’s number formatting.

BBlakeMcMurray

Fork of Customizing Axes

This bar chart displays the top 10 most populous countries using 2018 population estimates from United Nations World Population Prospects, loaded via `d3.csv`. It shows each country as a horizontal bar with a linear population scale and a banded country scale, demonstrating axis customization through `d3.axisLeft` and `d3.axisBottom` with tick formatting that abbreviates large numbers. The chart uses `d3.scaleLinear` and `d3.scaleBand` for scales, removes unnecessary axis domains and lines, and adds styled labels and a title via SVG text elements. The population values are multiplied by 1000 after parsing.

UUpamanyu-ml

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