BhagyashreeU

@BhagyashreeU·3 public vizzes

DataVisualization

This bar chart displays the population of the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects 2017. The visualization demonstrates customized D3 axes with styled tick labels and grid lines. Built with D3 v5, the code uses `d3.csv` to load data and `d3.select` to manipulate SVG elements. The chart renders population values as steelblue rectangles with a title and axis labels, showing how D3 can be adapted for data-driven customization.

May 15, 2021

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data visualization

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 uses D3 v5 with SVG rendering, featuring customized axes through the `d3.axisBottom` and `d3.axisLeft` APIs, along with styled tick marks and labels. The chart builds on a basic bar chart example by enhancing axis customization, such as adjusting font sizes, colors, and gridlines through CSS classes applied to D3-generated elements. The data is loaded from a CSV file using `d3.csv`.

May 15, 2021

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Bar chart

This bar chart displays the population of the top 10 most populous countries, with data from the 2018 United Nations World Population Prospects. It uses d3.csv to load the data, converting population values to thousands, then renders horizontal bars with d3.scaleLinear and d3.scaleBand. The chart customizes D3 axes by removing the y-axis domain and tick lines, and formats x-axis ticks using d3.format to abbreviate large numbers as billions.

May 14, 2021