Making a Bar Chart

Making a Bar Chart

A horizontal bar chart displays the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017. The chart uses D3 v5’s `scaleLinear` and `scaleBand` to map population and country names, with `axisBottom` and `axisLeft` for customized axes. Population values are formatted with `d3.format`, and the SVG bars are rendered from a CSV file.

TTomisin Owolabi

Making a Bar Chart

A horizontal bar chart displays the top 10 most populous countries using population estimates from the 2018 United Nations World Population Prospects. The chart uses d3.csv to load data and d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom for axes, with tick labels formatted via d3.format. The SVG rendering includes custom axis removal and a title, demonstrating how to customize D3 axes for clear data presentation.

DDeeksha Dinkar

Making a Bar Chart

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. It shows each country’s population as a horizontal bar, with formatted axis labels (e.g., converting thousands to billions) and gridlines. The visualization uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to construct the chart, rendering via SVG. The axis tick format is customized by replacing ‘G’ with ‘B’ in D3’s compact notation.

IIrtaza

Making a Bar Chart

This example presents a horizontal bar chart of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The bars are rendered as SVG rectangles with a steelblue fill, and the chart includes customized D3 axes: a left axis with country names and a bottom axis with formatted population labels. The code uses D3 v5 APIs such as `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format` to load the CSV, compute scales, and draw the visualization.

MMukadder Cinar

Making a Bar Chart

This bar chart displays the top 10 most populous countries in 2018, based on United Nations World Population Prospects 2017 data, with populations multiplied by 1,000. It uses D3 v5 with SVG rendering, employing `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the y-axis. The chart customizes axes with `d3.axisLeft` and `d3.axisBottom`, formats tick labels via `d3.format`, and includes grid lines, a title, and an axis label.

SSaiLikhithK

Making a Bar Chart

A bar chart displays the population of the top 10 most populous countries using 2018 estimates from the United Nations’ World Population Prospects 2017. The chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the bars, with axes customized to remove domain lines and format population ticks in billions. SVGs are generated dynamically via `csv()` loaded data, and the chart includes a title and x-axis label.

Sswvogt

Making a Bar Chart

This bar chart visualizes the top 10 most populous countries in 2018, using data from the United Nations World Population Prospects 2017. It demonstrates customized D3 v5 axes, including a formatted linear scale for population values with tick marks that abbreviate numbers (e.g., "B" for billions) and a band scale for country names. The chart is rendered as an SVG with steelblue bars, and the code uses D3 methods like `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `csv` to load and parse the data.

TTiffany Wu

Making a Bar Chart

This bar chart shows the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The chart displays horizontal bars with country names on the y-axis and population values on the x-axis, using an SVG rendering approach. The code uses `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` from d3 v5 to load the data, scale the values, and draw the axes and rectangles.

MMercPai