Fork of Customizing Axes

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 2017. It demonstrates customizing D3 axes, including a formatted x-axis with tick marks that extend across the chart, a removed y-axis line and ticks, and styled labels and title. Built with d3.scaleLinear, d3.scaleBand, d3.axisBottom, and d3.axisLeft, the chart loads data from a CSV file and renders as SVG.

Ssnehareddygurram

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 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 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

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. It shows how D3 axes can be customized, including tick formatting, removal of axis lines, and addition of axis labels. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for scales, and d3.axisLeft and d3.axisBottom with custom tick formatting that converts units from billions to millions. SVG rendering with CSS styling for fonts and colors is employed.

HHojjat Karami

Fork of Customizing Axes

This bar chart visualizes the populations of the top 10 most populous countries, using data from the 2018 United Nations World Population Prospects. The chart displays each country’s population as a horizontal bar, with axis labels and a title. The code builds a custom D3 v5 visualization using `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, while customizing tick formatting and removing axis lines. Data is loaded from a CSV file using `d3.csv`, and the SVG rendering is styled with CSS.

Aantonispat10

Fork of Customizing Axes

This bar chart displays the population of the top 10 most populous countries, with data from the 2018 United Nations World Population Prospects estimate, multiplied by 1000 for actual figures. It demonstrates custom axis styling using D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, with tick labels formatted via `format('.3s')` and gridlines styled through CSS. SVG rendering shows horizontal bars with tick marks and labels, while title and axis labels use custom font sizes and colors.

AApril Fangzhu Guo

Fork of Customizing Axes

This bar chart visualizes the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. Horizontal bars represent each country’s population, with a custom-styled axis and a labeled title. Built with D3 v5, the code uses `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` with a tick formatter that converts values to billions. The SVG rendering applies custom fonts, gridlines, and axis labels via CSS.

CCharlie Smith