Making a Bar Chart

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 data from the United Nations World Population Prospects. The visualization uses D3 v5 with an SVG rendering, employing `scaleLinear` and `scaleBand` for axes, with `axisBottom` and `axisLeft` to generate customized ticks and gridlines. Population values are read from a CSV file, multiplied by 1000, and bars are drawn as `rect` elements with a steelblue fill, while a custom tick formatter converts large numbers to abbreviated notation.

Rrkagiri

Making a Bar Chart

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 renders each country as a single steelblue rectangle on an SVG canvas. Built with D3 v5, the code loads data from a CSV file and uses the `d3.scaleBand` and `d3.scaleLinear` APIs to map country names to the x-axis and population values to the y-axis, respectively. The chart is minimal, with no axes or labels, focusing solely on the relative bar heights.

AAlain Jennotte

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The data is loaded from a CSV file and rendered as horizontal bars on an SVG canvas. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom from D3 v5, with bars filled in steelblue and sized proportionally to population values. The chart includes axes generated via the axis functions, and population figures are multiplied by 1,000 to reflect full counts.

Rram-iyer

Making a Bar Chart

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 encodes country names on the y-axis with d3.scaleBand and population values on the x-axis with d3.scaleLinear, rendering rectangular bars as SVG elements. The code loads data from a CSV file, converts populations to absolute numbers, and generates axes using d3.axisLeft and d3.axisBottom. Bars are filled with a steelblue color via CSS, and the chart includes margins for clear label placement.

Yyejichun@naver.com

Making a Bar Chart

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 uses D3 v5 to map country names to the y-axis via `scaleBand` and population values to the x-axis via `scaleLinear`, rendering the data as steel-blue SVG rectangles. Axes are added using `axisLeft` and `axisBottom`, with a maximum value computed by `max`. The data is loaded from a local CSV file, and population figures are converted from thousands to absolute numbers.

Ddanrhymes

Making a Bar Chart

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 renders with SVG, using D3 v5’s `scaleLinear` for the population axis and `scaleBand` for country categories, with `axisLeft` and `axisBottom` for labels. Data is loaded from a CSV file via `d3.csv`, and each country’s population is multiplied by 1,000 before being drawn as steel-blue rectangles.

FFANN438

Making a Bar Chart

This bar chart displays the population estimates for the top 10 most populous countries in 2018, based on data from the United Nations World Population Prospects. The visualization uses d3.csv to load the data and d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to map population values and country names to the SVG canvas. Bars are rendered as SVG rectangles, with axes drawn to show the population scale and country labels. The chart is built with D3 v5 and styles the bars in steel blue.

VVincent Ko

Making a Bar Chart

VVincent Ko